Article | Published:

Cardioprotection and lifespan extension by the natural polyamine spermidine

Nature Medicine volume 22, pages 14281438 (2016) | Download Citation

Abstract

Aging is associated with an increased risk of cardiovascular disease and death. Here we show that oral supplementation of the natural polyamine spermidine extends the lifespan of mice and exerts cardioprotective effects, reducing cardiac hypertrophy and preserving diastolic function in old mice. Spermidine feeding enhanced cardiac autophagy, mitophagy and mitochondrial respiration, and it also improved the mechano-elastical properties of cardiomyocytes in vivo, coinciding with increased titin phosphorylation and suppressed subclinical inflammation. Spermidine feeding failed to provide cardioprotection in mice that lack the autophagy-related protein Atg5 in cardiomyocytes. In Dahl salt-sensitive rats that were fed a high-salt diet, a model for hypertension-induced congestive heart failure, spermidine feeding reduced systemic blood pressure, increased titin phosphorylation and prevented cardiac hypertrophy and a decline in diastolic function, thus delaying the progression to heart failure. In humans, high levels of dietary spermidine, as assessed from food questionnaires, correlated with reduced blood pressure and a lower incidence of cardiovascular disease. Our results suggest a new and feasible strategy for protection against cardiovascular disease.

Main

Cardiovascular disease has reached epidemic proportions in the elderly and remains the worldwide leading cause of death. Human aging is typically accompanied by cardiac hypertrophic remodeling and a progressive decline of left ventricular (LV) diastolic function1,2. Abnormal diastolic function is present in >20% of the population >65 years of age3. Although less than half of all patients with diastolic dysfunction show clinical signs of congestive heart failure, those patients who do not meet the diagnostic criteria of congestive heart failure are at increased risk for developing this condition4. No treatment has yet been shown to convincingly target and prevent age-associated diastolic dysfunction or heart failure, probably because our understanding of the fundamental mechanisms underlying progressive deteriorations in the (ultra-)structure and function of the aging heart is incomplete.

Recent studies have revealed that autophagy, a major cellular quality control mechanism, may be able to minimize the functional decline of aging cardiomyocytes by degrading and recycling long-lived proteins, which are potentially toxic if damaged, as well as cytoplasmic components and dysfunctional organelles (in particular, damaged mitochondria)5,6. Clearance of dysfunctional mitochondria through a specific type of selective autophagy, termed mitophagy, may be beneficial for cardiac function, because mitochondria can overproduce reactive oxygen species if they are functionally impaired and ignite lethal signaling pathways if they are permeabilized. In view of the established longevity-extending effects of enhanced cytoprotective autophagy in model organisms, it seems plausible that autophagy might also be able to counteract cardiac aging7. We previously discovered that the natural polyamine spermidine, a dietary compound, extends lifespan and health span through induction of autophagy in yeast, flies and worms8,9. Dietary supplementation of spermidine delayed age-associated memory impairment in flies10, prevented motor impairment in flies that was elicited by transgenic expression of human α-synuclein11 and protected mice from TAR DNA-binding protein (TARDBP; also known as TDP-43)-associated proteinopathies12, in line with a general neuroprotective action of this polyamine. In several model organisms, the lifespan-extending and neuroprotective effects of spermidine were abolished after the inactivation of essential autophagy-related genes8,10. Here we explored the potential cardioprotective effects of spermidine in rodent models of physiological cardiac aging (mice) and high-salt-induced congestive heart failure (rats). We also provide evidence that dietary spermidine intake in humans inversely correlates with cardiovascular disease risk.

Results

Spermidine extends the lifespan of wild-type C57BL/6 mice

In view of the life-prolonging effects of spermidine in model organisms8,9, we tested the long-term survival effects of specific polyamines in C57BL/6J wild-type (WT) female mice, which had life-long (Fig. 1a) access to drinking water that was supplemented with distinct polyamines. Notably, spermidine- or spermine-supplemented mice had a significantly extended median lifespan as compared to that of control (which received normal drinking water) or putrescine-supplemented mice (Fig. 1b,c and Supplementary Tables 1 and 2). To enhance the translational potential of these findings, we administered spermidine 'late in life' (a regimen more applicable to humans) to pre-aged male and female mice (Fig. 1a). Again, we found that spermidine feeding significantly prolonged median lifespan by 10% (Fig. 1d and Supplementary Fig. 1). Spermidine-fed mice showed increased circulating spermidine levels, confirming its systemic bioavailability (Fig. 1e). Food and water consumption, body weight and lean or fat mass composition were similar in spermidine-fed and control groups (Supplementary Fig. 2), excluding the possibility that polyamine supplementation extends lifespan by inducing a calorically restricted state13.

Figure 1: Spermidine extends lifespan and improves cardiac diastolic function in mice.
Figure 1

(a) Schematic overview of spermidine administration (+S) to aging C57BL/6 WT mice. Spermidine was supplemented into drinking water starting from the age of 4 months (life-long) or 18 months (late in life), and cardiovascular parameters or molecular phenotypes were analyzed at the indicated time points. (bd) Kaplan–Meier survival analyses. In the lifelong supplementation experiment using C57BL/6J female mice (b,c), the same control group was used. The late-in-life supplementation experiment (d) used C57BL/6J male and female mice. Dashed lines depict median lifespans. In b, control, n = 40 mice; spermidine n = 41 mice. In c, control, n = 40 mice; putrescine, n = 20 mice; spermine, n = 17 mice. In d, control, n = 91 mice; spermidine, n = 86 mice. See Supplementary Tables 1 and 2 for more details. P values, calculated using the Breslow test, represent pairwise comparisons of survival curves between the spermidine versus control (b), spermine versus control (c) and spermidine versus control (d) groups. (ek) Effects of late-in-life supplementation of spermidine in C57BL6/J male mice, analyzed at the indicated ages. Shown are whole-blood polyamine levels (e), ratio of left ventricular mass to tibia length (LV mass/TL; which is indicative of cardiac hypertrophy) (f), representative hemodynamic pressure–volume loops (g), left ventricular end-diastolic pressure (EDP) (h), myocardial stiffness constant (end-diastolic pressure–volume relationship (EDPVR) β obtained from exponential fits presented in Supplementary Fig. 4a) (i), ejection fraction (as determined by echocardiography) (j) and ventricular–vascular coupling (VVC) (k). In e, 24 months, n = 15 mice; 24 months + S, n = 18 mice. In f,j, 4 months, n = 10 mice; 18 months, n = 14 mice; 23 months, n = 20 mice; 23 months + S, n = 20 mice. In h,i,k, 4 months, n = 10 mice; 18 months, n = 8 mice; 24 months, n = 10 mice; 24 months + S, n = 10 mice. (l) Systolic and diastolic arterial blood pressures in mice analyzed in e (24 months, n = 8; 24 months + S, n = 11). ***P < 0.001, **P < 0.01, *P < 0.05, #P < 0.06; by Welch's t-test (e), analysis of variance (ANOVA) with post hoc Tukey test (f,h,j,k), analysis of covariance (ANCOVA) (i), Student's t-test (l, systolic) or Mann–Whitney U test (l, diastolic). For box-and-whisker plots, whiskers show minima and maxima within 1.5 interquartile range (IQR).

Dietary spermidine delays cardiac aging by improving diastolic function

Tumor burden and cardiac aging are significant predictors of mortality in C57BL/6 mice and in humans14,15. Comprehensive pathological characterization of tissues collected from mice at an advanced age (28 months), as well as from old mice that became moribund and were euthanized as 'end-of-life' animals16, revealed similarly high tumor frequencies in spermidine-treated and control mice (Supplementary Fig. 3 and Supplementary Tables 3 and 4). This finding suggests that the potential ability of dietary spermidine to inhibit tumor formation, which has been observed after chemo-induction of tumors17, does not explain its life-prolonging effects.

Because only minor histopathological abnormalities were observed in cardiac tissue obtained from 28-month-old or from end-of-life mice (Supplementary Tables 3 and 4), we next subjected aged mice that were given late-in-life spermidine supplementation to structural and functional cardiac phenotyping. Spermidine supplementation reversed age-associated (23 months) echocardiography-detectable hypertrophy, as indicated by a reduction in tibia-length-normalized left ventricular mass (LV mass/TL) and posterior wall thickness (PW/TL) to values below those observed in middle-aged (18 months) WT mice (Fig. 1f and Supplementary Table 5). Hypertrophic remodeling is the most common age-related myocardial abnormality that is associated with diastolic and/or systolic dysfunction, which eventually leads to heart failure in humans18. Evaluation of cardiac function by invasive hemodynamic pressure–volume measurements revealed that, as compared to age-matched control mice, mice fed spermidine late in life had significantly enhanced diastolic properties, as reflected by a reduction of LV end-diastolic pressure (EDP; Fig. 1g,h), with a trend toward improved active relaxation (shortened time constant of LV pressure decay τ; Supplementary Table 6); the spermidine-fed mice also had significantly reduced LV passive stiffness, as reflected by decreased myocardial stiffness constant β (Fig. 1i) with a downward shift of the end-diastolic pressure–volume relationship (EDPVR), which was obtained by transient vena cava occlusion for load-independent cardiac function assessment (Supplementary Fig. 4). The systolic properties of aged hearts were less affected by dietary spermidine. Load-dependent parameters, such as ejection fraction (EF) and dP/dtmax as indicators of LV contractility, were comparable in all tested groups (Fig. 1j and Supplementary Tables 5 and 6). However, ventricular–vascular coupling (VVC), a parameter that describes the interaction of the LV with the arterial system, is positively correlated with cardiovascular performance and is associated with prognosis in patients with heart failure19, was increased in mice fed spermidine late in life and was similar to the value observed in young mice (Fig. 1k). Notably, spermidine supplementation did not affect systemic systolic and diastolic blood pressures (Fig. 1l), indicating that reduced hypertrophic remodeling, improved VVC and enhanced cardiac function were independent of arterial afterload. Moreover, 24-month-old control mice showed a moderate but significant increase in relative lung weight (LW/TL), a sign of pulmonary congestion that results from abnormal cardiac function, as compared to that in young animals (Supplementary Table 7). This age-dependent increase in relative lung weight was less pronounced and nonsignificant in spermidine-treated mice (Supplementary Table 7). Despite the evidence for pulmonary congestion, a typical complication in heart failure, in physiologically aged C57BL/6 mice, these mice are not considered to represent an experimental model of heart failure20. Aged C57BL/6 mice show diastolic dysfunction with an increased risk for the development of heart failure, thus closely recapitulating human cardiac aging in the absence of hypertension and associated co-morbidities20.

Cardiomyocyte composition and function are improved by spermidine

In the elderly patient, cardiac hypertrophy is related to structural and functional remodeling that may involve (i) changes in the composition and structure of the extracellular matrix, mainly characterized by fibrotic (collagen-rich) tissue; (ii) altered coronary microvascular rarefaction; and/or (iii) effects on cardiomyocytes themselves21. To test whether spermidine reverses age-induced cardiac fibrosis and decreased coronary microvascular density, we subjected the hearts of aged mice fed spermidine late in life to ultrastructural analysis by design-based stereology. Electron microscopy did not reveal changes in the volume fraction or absolute volumes of collagen, the interstitium, capillaries or cardiomyocytes in the LV (Supplementary Fig. 5a and Supplementary Table 8). However, age-related effects on subcellular cardiomyocyte composition were reversed by dietary spermidine, as reflected by increased relative mitochondrial and myofibrillar volumes and a reduced (mitochondria- and myofibril-free) sarcoplasmic volume (Fig. 2a,b, Supplementary Fig. 5b and Supplementary Table 8). These results suggest that spermidine has cardiomyocyte-intrinsic effects.

Figure 2: Spermidine improves cardiomyocyte composition and mitochondrial function in mice.
Figure 2

C57BL/6J male mice were supplemented with spermidine (+S) late in life (see Fig. 1a for the feeding scheme), and hearts were subjected to molecular and biochemical analyses at the indicated ages (in months). (a,b) Representative transmission electron micrographs (a) and quantification of left ventricular cardiomyocyte composition using design-based stereology (b) (4 months, n = 10 mice; 24 months, n = 15 mice; 24 months + S, n = 14 mice). Relative volumes of mitochondria Vv(mi/myo), myofibrils Vv(mf/myo) and mitochondria- and myofibril-free sarcoplasm Vv(sp/myo) per cardiomyocyte are shown. mi, mitochondria; mf, myofibrils; myo, cardiomyocyte; nu, nucleus; sp, sarcoplasm. Scale bar, 2 μm. (c) Oxygen consumption (complex-I-mediated respiration) of isolated cardiac mitochondria using high-resolution respirometry (n = 8 (left) and n = 5 (right) mice/group). (d) Plasma TNF-α levels after late-in-life spermidine supplementation of C57BL6/J male mice (5 months, n = 12 mice; 21 months, n = 12 mice; 21 months + S, n = 13 mice; 23 months, n = 9 mice; 23 months + S, n = 10 mice). Mice that had a possibly acute inflammatory condition were excluded (Supplementary Fig. 8 and Online Methods). (e) Titin isoform composition and phosphorylation. Representative western blot probed with a pan-phospho-serine/threonine-specific antibody for detection of total N2B phosphorylation (p-N2B), Coomassie-stained PVDF membrane for detection of total N2B (total N2B) and a Coomassie-blue-stained gel for detection of N2BA and N2B isoforms (Online Methods for details on isoform identification). (f) The N2BA/(N2BA + N2B) ratio was quantified by densitometry (Online Methods) (n = 12 mice/group). (g) Quantification of total N2B phosphorylation (left) and Ser4080 (S4080)-specific N2B phosphorylation (right, from densitometry using normalization standards for inter-gel comparisons of western blots for which representative blots are shown in e and Supplementary Fig. 5c) (n = 12 mice/group). a.u., arbitrary units. In b,c,f,g, ***P < 0.001, **P < 0.01, *P < 0.05; by ANOVA with post hoc Tukey test (b, Vv(mi/myo) and Vv (mf/myo)), Welch's test with post hoc Games–Howell test (b, Vv(sp/myo)), Student's t-test (unpaired in f,g (Phosho-N2B), paired in c) or Welch's t-test (g, Phospho-S4080-N2B). In d, P values represent factor (T, treatment; A, age) comparisons by two-way ANOVA including 21-month and 23-month groups followed by simple main effects (**P < 0.01, *P < 0.05 versus age-matched control); +++P < 0.001 (ANOVA post hoc Tukey test comparing controls). For box-and-whisker plots, whiskers show minima and maxima within 1.5 IQR.

We hypothesized that the increased myocardial compliance (i.e., myocardial elasticity) induced by spermidine originates from improved contractile apparatus and cardiomyocyte function22. Consistent with this idea, both transcriptome and proteome analyses of cardiac tissue extracts (Supplementary Fig. 6 and Supplementary Tables 9 and 10) revealed a rejuvenated molecular phenotype with respect to components of the cytoskeletal apparatus (i.e., myosin heavy-chain proteins, ankyrins, integrins and dystonin), inflammatory processes and mitochondrial respiratory chain complex I proteins (i.e., members of the NDUF protein family), all of which are essential for cardiomyocyte mechano-elastical functionality23 and healthy cardiac aging24,25. Accordingly, the respiratory competence of cardiac mitochondria through respiratory chain complex I was increased in mice that were supplemented with spermidine as compared to that in control mice (Fig. 2c and Supplementary Fig. 7a,b); thus, dietary spermidine reversed an age-induced decline in mitochondrial respiratory function26. Furthermore, spermidine reversed the age-associated decline in mitochondria-related metabolite levels, including that of NADPH and mevalonate (Supplementary Fig. 7c–e), the latter of which has been linked to mitochondrial surveillance27 and cardiac health28. Moreover, determination of the (chronic) low-grade inflammatory status of aged mice (Online Methods) revealed that spermidine reduced the age-dependent rise in plasma levels of the pro-inflammatory cytokine tumor necrosis factor (TNF)-α (Fig. 2d and Supplementary Fig. 8). The passive stiffness of cardiomyocytes is determined primarily by titin-related mechanisms22, which are negatively affected by inflammatory conditions, in part mediated by TNF-α29. Cardiomyocytes co-express a larger (more compliant) and a smaller (stiffer) isoform of titin, termed N2BA and N2B, respectively. Although the isoform composition of titin, as assessed by the N2BA/(N2B+N2BA) ratio, was unchanged (Fig. 2e,f), spermidine enhanced the levels of both total and Ser4080 phosphorylation of the N2B isoform (Fig. 2e,g and Supplementary Fig. 5c). Phosphorylation of N2B on Ser4080 via cGMP and protein kinase G (PKG)-dependent signaling is known to reduce cardiomyocyte stiffness22.

Spermidine enhances cardiomyocyte autophagic flux in both young and aged mice

We previously identified spermidine as a potent inducer of autophagy8,9, a cellular process crucial for general proteostasis, as well as for mitochondrial and cardiomyocyte function5. Therefore, we next tested whether spermidine supplementation improves autophagic flux in aging cardiomyocytes. To assess basal autophagic flux, we treated ad libitum–fed, 13-month-old C57BL/6J WT mice that were supplemented with spermidine for the final 4 weeks with the vacuolar protease inhibitor leupeptin, which blocks autophagosome turnover, and quantified levels of the autophagosomal marker LC3-II (ref. 30). Treatment with leupeptin induced a significant increase of LC3-II levels in hearts from spermidine-supplemented mice, whereas age-matched controls showed a reduced (and nonsignificant) elevation of this marker (Fig. 3a and Supplementary Fig. 9e), indicating that spermidine increases cardiac autophagic flux in vivo. Cellular spermidine content in cardiac tissue was significantly increased in spermidine-supplemented animals as compared to controls (Fig. 3b).

Figure 3: Spermidine ameliorates cardiac function through induction of autophagy.
Figure 3

(a,b) Cardiac autophagic flux assessed by the ratio of LC3-II to glyceraldehyde 3-phosphate dehydrogenase (GAPDH), as determined by western blot analysis (Supplementary Fig. 9e) (a) and cardiac tissue levels of spermidine (b) 50 min after intraperitoneal injection of leupeptin (Leu) (n = 13) or vehicle (n = 7) in 13-month-old C57BL/6J male mice with or without 4 weeks of spermidine supplementation to the drinking water. Co, control; Spd, spermidine. (c,d) Young (3-month-old) transgenic mice harboring cardiac-specific-expressed tandem-fluorescence mRFP–GFP–LC3 (tf-LC3) were subjected to spermidine treatment for 2 weeks, and hearts were analyzed by confocal microscopy 4 h after intraperitoneal injection of chloroquine (CQ) or vehicle to assess autophagic flux. Representative RFP, GFP and Hoechst overlays (c) and quantification of autophagosomes (orange puncta marked by arrows in c) and autolysosomes (red puncta marked by arrowheads in c) (d) are shown (n = 3 mice/group). Scale bars, 50 μm. (e) Mitophagy was assessed in young (6-month-old) or aged (18-month-old) C57BL/6J WT mice treated with or without 2 weeks of spermidine supplementation and injected with an adenovirus-associated virus expressing Mito-Keima (AAV9-Mito-Keima). The positive ratiometric area (see Supplementary Fig. 9b–d) of Mito-Keima fluorescence (561 nm/457 nm excitation), indicative of mitophagy, was quantified (n = 3 mice/group). (fk) Cardiomyocyte-specific Atg5-deficient (Atg5−/) mice were analyzed at 16 weeks of age and compared to age-matched Atg5+/+ littermates, with or without 12 weeks of spermidine supplementation (see Supplementary Fig. 10). Shown are LVmass/TL (f), EF (g), representative pressure–volume loops (h), EDPVR β values obtained from exponential fits (Supplementary Fig. 10d) (i), end-systolic elastance (Ees, slope of the end-systolic pressure–volume relationship, Supplementary Fig. 10e) (j) and VVC (k). In f,g, Atg5+/+ control, n = 16 mice; Atg5+/+ spermidine, n = 15 mice; Atg5−/− control, n = 12 mice; Atg5−/− spermidine, n = 14 mice. In ik, Atg5+/+ control, n = 10 mice; Atg5+/+ spermidine, n = 10 mice; Atg5−/− control, n = 9 mice; Atg5−/− spermidine, n = 11 mice. P values represent factor (T, treatment; G, genotype) comparisons by two-way ANOVA (or ANCOVA in i) followed by simple main effects (***P < 0.001, **P < 0.01, *P < 0.05 and #P < 0.06). Dot plots show means ± s.e.m. For box-and-whisker plots, whiskers show minima and maxima within 1.5 IQR.

The capacity of orally supplemented spermidine to induce autophagic flux in vivo in cardiomyocytes was corroborated using transgenic cardiomyocyte-specific tandem-fluorescent mRFP-GFP-LC3 mice31. These mice serve as an autophagy reporter strain, carrying labeled autophagosomes; both red (mRFP) and green (GFP) fluorescence, as well as labeled autolysosomes; red (mRFP) fluorescence only. In this experiment, chloroquine was used to block autophagosome turnover for assessment of autophagic flux. Spermidine substantially increased the number of autophagosomes and autolysosomes under both vehicle- and chloroquine-treated conditions (Fig. 3c,d and Supplementary Fig. 9a). Moreover, spermidine stimulated mitophagy in cardiomyocytes of both young and aged mice, as assessed in mice expressing the mitochondrial-targeted form of the fluorescent biosensor Keima (Mito-Keima). Mito-Keima fluorescence shows pH-dependent excitation characteristics, shifting excitation maxima to a higher wavelength after mitochondria come into contact with the acidic milieu of lysosomes in the context of mitophagy32. Thus, the ratio of 561 nm to 457 nm excited Keima fluorescence (refered to as the Mito-Keima positive area) increases with a drop in pH (Online Methods). Spermidine treatment clearly increased the Mito-Keima-positive area in cardiomyocytes—indicative of increased mitophagy (Fig. 3e and Supplementary Fig. 9b–d). Taken together, these results suggest that autophagy might contribute to the improved cardiomyocyte structure and function that is induced by dietary spermidine.

Autophagy is required for spermidine-mediated cardioprotection

To determine whether the in vivo cardioprotective effects of spermidine depend on autophagy, we took advantage of mice that have a cardiomyocyte-specific autophagy defect, Atg5fl/fl;MLC2a-Cre+ (hereafter referred to as Atg5−/−)5,6 mice. We first verified that cardiomyocytes in these mice lack LC3-II and show increased levels of p62/SQSTM1, a direct substrate and cargo-receptor of autophagy known to increase in autophagy-deficient cardiomyocytes5,6 (Supplementary Fig. 10a–c). Because these mice develop severe systolic impairment and heart failure early in life and do not reach the same age as WT animals5,6, we assessed cardiac function at 16 weeks of age, when Atg5−/− mice showed no echocardiography-detectable cardiac abnormalities under control conditions (Fig. 3f,g and Supplementary Table 11) and had systolic and diastolic properties that were comparable to those of Atg5fl/fl (Atg5+/+) control mice, as evaluated by invasive hemodynamics (Fig. 3h–k, Supplementary Fig. 10d,e and Supplementary Tables 11–13). Notably, the spermidine-induced reduction of LV hypertrophy (i.e., reduction of LVmass/TL and PW/TL) observed in Atg5+/+ mice was not detected in Atg5−/− mice, in which spermidine actually aggravated LV hypertrophy (Fig. 3f and Supplementary Table 11). This increased LV hypertrophy in spermidine-treated Atg5-deficient mice was associated with reduced diastolic function, as documented by a significantly elevated EDPVR β, indicative of increased LV passive stiffness (Fig. 3i, Supplementary Fig. 10d and Supplementary Table 12). Notably, significant increases in LV contractility, as indicated by a higher end-systolic elastance (Ees, the slope of end-systolic pressure–volume relationship (ESPVR)) and VVC were observed in spermidine-treated Atg5+/+ but not Atg5−/− mice (Fig. 3j,k, Supplementary Fig. 10e and Supplementary Table 12). Hence, spermidine-treated Atg5−/− mice showed impaired systolic function, as indicated by a reduced ejection fraction (Fig. 3g). Collectively, these data indicate that spermidine prevents typical age-related cardiac deterioration in an autophagy-dependent manner, reducing LV hypertrophic remodeling and improving diastolic function, contractility and ventricular–vascular coupling.

Spermidine reduces blood pressure and delays progression to heart failure in Dahl rats

From a clinical perspective, hypertension represents one of the most important risk factors for the development of heart failure33, and it occurs in the majority of elderly patients suffering from cardiovascular disease33. Because hypertension and a manifest heart failure phenotype are absent in physiologically aging WT mice14,20, we used Dahl salt-sensitive rats fed a high-salt diet, which constitute a clinically relevant animal model of hypertension-induced hypertrophy, diastolic dysfunction and heart failure34. These rats also exhibit phenotypic traits observed in hypertension-associated diseases in humans, including co-morbidities such as renal dysfunction35. Dahl salt-induced rats fed a high-salt diet had progressively increased mean arterial blood pressure, an effect that was delayed by 4 weeks when spermidine was co-administered with high amounts of salt (Fig. 4a,b and Supplementary Fig. 11). Spermidine supplementation increased the plasma levels of spermidine in Dahl rats and led to significantly decreased plasma levels of ornithine, the substrate for the rate-limiting enzyme in polyamine biosynthesis, as compared to those in control animals (Fig. 4c). This effect on ornithine levels may connect polyamine metabolism to the bioavailability of arginine (Supplementary Fig. 12a), the only source for the generation of the vasodilator nitric oxide (NO)36, which has been shown to abrogate salt-induced hypertension in Dahl salt-sensitive rats37. Therefore, the anti-hypertensive effect of spermidine might be explained by effects on arginine metabolism. Indeed, spermidine increased arginine bioavailability, as determined by an elevated global arginine bioavailability ratio (GABR; defined as [arginine]/[ornithine+citrulline]) (Fig. 4c), and increased the arginine/ornithine ratio, while also decreasing the cumulative level of ornithine and citrulline (Supplementary Fig. 12c,d). These findings suggest the ability of spermidine to improve NO production and bioavailability. Elevation of the GABR and the arginine/ornithine ratio, as well as decreased levels of ornithine plus citrulline (indicative of diminished arginine catabolism), have been associated with reduced cardiovascular risk38,39.

Figure 4: Spermidine ameliorates salt-induced hypertension and heart failure in Dahl salt-sensitive rats.
Figure 4

(a) Schematic overview of spermidine administration (starting from the age of 7 weeks) to Dahl salt-sensitive rats fed a high-salt diet (8% NaCl) ad libitum. Cardiovascular parameters and renal tissue characteristics were recorded at the indicated ages. (b) Mean arterial blood pressure (MBP) by the noninvasive tail-cuff method (n = 10 rats/group). Red symbols denote the first time point at which there is a nonsignificant difference in MBP as compared to the peak MBP of the group. (c) Plasma spermidine (n = 12 rats/group) and ornithine (7 weeks, n = 11 rats; 9 weeks ± S, n = 12 rats/group) content, and global arginine bioavailability ratio (GABR) (7 weeks, n = 11 rats; 9 weeks, n = 12 rats; 9 weeks + S, n = 10 rats). (d,e) Echocardiographic assessment of LVmass/TL (d) and the ratio of peak early Doppler transmitral flow velocity (E) to the corresponding myocardial tissue Doppler velocity (E′) (e) (n = 10 rats/group). (fk) Representative pressure–volume loops (f), LV end-diastolic pressure (EDP) (g), myocardial stiffness constant for indexed volumes (EDPVR βi) (h), tibia length (TL)-normalized lung and liver weights (i), EF (j) and VVC (k) (7 weeks, n = 10 rats; 14 weeks, n = 9 rats; 14 weeks + S, n = 9 rats; 19 weeks, n = 10; 19 weeks + S, n = 10 rats). (l) Representative micrographs of 9 rats/group analyzed for renal fibrosis in 19-week-old rats, as assessed by picrosirius red collagen staining. (m) Urinary lipocalin (Lcn)-2 levels (7 weeks, n = 12 rats; 19 weeks, n = 10 rats; 19 weeks +S, n = 10 rats). In c,d,m, ***P < 0.001, **P < 0.01, *P < 0.05; ANOVA with post hoc Tukey test (c,m) Kruskal–Wallis with corrected multiple-comparisons (d). For b,e,gk: P values represent factor (T, treatment; A, age) comparisons by two-way ANOVA (mixed-design in b,e) including 14-week and 19-week groups followed by simple main effects (***P < 0.001, **P < 0.01, *P < 0.05 versus age-matched control); +++P < 0.001, ++P < 0.01, +P < 0.05 by ANOVA with post hoc Tukey test comparing controls. Dot plots and line plots show means ± s.e.m. For box-and-whisker plots, whiskers show minima and maxima within 1.5 IQR.

To explore whether spermidine supplementation attenuates hypertension-induced hypertrophic remodeling and the progression to heart failure in this model, we assessed cardiac dimensions and function. Spermidine treatment reduced tibia-length-normalized LV mass, posterior wall thickness and heart weight, indicating that it attenuated the increase in cardiac hypertrophy that was observed in the control rats (Fig. 4d and Supplementary Tables 14 and 15). Furthermore, spermidine enhanced diastolic function, as reflected by a reduction in the E/E′ ratio, a parameter that strongly correlates with mean LV filling pressure40 (Fig. 4e). Indeed, LV-EDP was reduced (Fig. 4f,g) along with a reduction in LV stiffness, as reflected by a decreased myocardial stiffness constant for indexed volumes βi (Fig. 4h and Supplementary Table 16) with a downward shift of the EDPVR (Supplementary Fig. 13), as well as an increase in the levels of total and Ser4080 phosphorylation of the N2B titin isoform (Supplementary Fig. 14a,b). Similar to our findings in aged mice, enhanced diastolic function in rats was accompanied by a significant reduction of circulating TNF-α levels (Supplementary Fig. 14c), a pro-inflammatory marker whose levels are increased in heart failure.

In control rats fed a high-salt diet, relative lung and liver weights (normalized to tibia length) increased from 7 weeks of age to 14 or 19 weeks of age (Fig. 4i). Spermidine treatment significantly delayed the increases in relative lung and liver weights (Fig. 4i and Supplementary Table 15), suggesting that spermidine reduces pulmonary and systemic fluid accumulation, respectively, which are characteristic of heart failure. Ejection fraction was preserved (>70%) in all groups (Fig. 4j), implying that spermidine delays the progression from hypertension-induced hypertrophy to a phenotype that resembles heart failure with preserved ejection fraction (HFpEF). Control rats fed a high-salt diet showed higher arterial elastance (i.e., arterial stiffness) for indexed volumes (Eai), a surrogate of arterial load41, at 14 or 19 weeks of age, as compared to rats at 7 weeks of age. These animals seemed to compensate for this increased arterial elastance by increasing LV contractility, as indicated by an increase in end-systolic elastance for indexed volumes (Eesi; Supplementary Fig. 13b and Supplementary Table 16), leading to comparable VVC values in the control groups of different ages (Fig. 4k and Supplementary Table 16). Notably, spermidine administration decreased arterial stiffness (Supplementary Table 16), resulting in a significantly improved VVC (Fig. 4k and Supplementary Table 16), similar to the effects we observed in both young and old Atg5-competent mice that were treated with spermidine.

Renal abnormalities are commonly observed in subjects with chronic arterial hypertension42, and these contribute to the pathogenesis of heart failure in humans43, as well as in Dahl rats44, which have impaired renal salt metabolism leading to water retention and, thus, systemic volume-overload. Spermidine treatment of high-salt-fed Dahl rats delayed the appearance of several signs of hypertensive renal injury, namely arterial hyalinosis with fibrosis, glomerulosclerosis and thrombotic microangiopathy (Fig. 4l and Supplementary Fig. 15a–c). Measurement of urinary lipocalin (Lcn)-2 levels, a sensitive marker of acute renal damage45, corroborated the protective action of spermidine on renal function (Fig. 4m). Induction of autophagy by spermidine8,9 might contribute to renal tissue homeostasis and to the anti-hypertensive effects of spermidine supplementation. As compared to control animals, spermidine-supplemented animals showed a significant increase in renal spermidine content (Supplementary Fig. 15d) and a significant decrease in the levels of p62/SQSTM1, whose levels decrease when autophagic flux is enhanced (Supplementary Fig. 15e). These findings suggest that autophagic processes might have a role in spermidine-induced kidney protection.

Dietary spermidine inversely correlates with cardiovascular disease in humans

Finally, we evaluated the association of dietary spermidine intake with cardiovascular diseases (including heart failure) and blood pressure in human subjects. In a prospective, population-based cohort (Bruneck Study46), dietary intake of spermidine (as assessed by food questionnaires) was inversely associated with risk of both fatal heart failure (a 40% reduction in risk in the high- versus low-spermidine-intake groups) and clinically overt heart failure; both risks were more pronounced in men (Fig. 5a,b). Intake of spermidine was also inversely related to the risk of other cardiovascular diseases, as assessed by a composite of acute coronary artery disease, stroke and death due to vascular disease (Fig. 5c), and to systolic and diastolic blood pressures (Fig. 5d), which were significantly lower in the high-spermidine-intake versus low-spermidine-intake groups. High intake of spermine, or of spermine and spermidine combined, showed associations similar to those with the high intake of spermidine (Supplementary Fig. 16). By contrast, putrescine intake did not show these associations (Fig. 5a–c) and tended to be associated with an increase in blood pressure (Fig. 5d). Notably, spermidine intake showed a significant inverse association with plasma levels of soluble N-terminal pro-B-type natriuretic peptide (NT-proBNP), the key clinically used biomarker for heart failure (r = −0.115, P = 0.001). Moreover, in an exploratory approach, we tested whether spermidine intake correlated with the levels of 131 plasma proteins (data not shown). This analysis revealed strong inverse associations for proteins complicit in cardiac disease, including chitinase-3-like protein 1 (CHI3L1)—which is implicated in plaque inflammation, matrix degeneration and plaque rupture (r = −0.19, P = 1.2 × 10−6, FDR q = 2.7 × 10−4)—and growth and differentiation factor (GDF)-15, which is implicated in heart failure, atrial fibrillation, chronic kidney disease and, possibly, vascular calcification (r = −0.13, P = 1.0 × 10−3, FDR q = 4.7 × 10−2).

Figure 5: Dietary spermidine intake inversely correlates with human cardiovascular disease.
Figure 5

(ac) Associations of polyamine intake (spermidine or putrescine) in human subjects with death due to heart failure (a), clinically overt heart failure (b) and incident cardiovascular disease (CVD; a composite of acute coronary artery disease, stroke and death due to vascular disease) (c). Hazard ratios (a,c, time-to-event analysis) and odds ratios (b, cross-sectional analysis) are indicated for one s.d. higher intake of the given polyamine. Models were unadjusted (U) or had multivariable adjustment (M) for age, sex, total caloric intake, current smoking, diabetes, alcohol consumption and diastolic blood pressure. Asterisk (*) indicates that death due to heart failure was defined according to the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) codes I50.x, I13.0, I13.2, I11.00, I11.01 or I97.1, and the results represent subdistribution hazard ratios based on the Fine and Gray model and account for the competing risk of death due to causes unrelated to heart failure. Double asterisk (**) indicates that diagnosis of clinically overt heart failure (ascertained in 2010) relied on gold standard Framingham criteria. Triple asterisk (***) indicates to see Online Methods for incident CVD criteria. (d) Association of polyamine (spermidine or putrescine) intake with systolic (BPsys) and diastolic (BPdia) blood pressures repeatedly assessed in 829 participants of the Bruneck study (1995–2010). The effects shown represent the average difference in blood pressure (mm Hg) associated with one s.d. higher intake of the given polyamine (M1) or between the first and third tertile groups (M2) after adjustment for age, sex and total caloric intake.

Discussion

Here we show that spermidine treatment in mice ameliorates hypertrophic remodeling of the aged heart, blocks age-related changes in cardiomyocyte composition and functionality, enhances diastolic function independently of effects on systemic blood pressure and extends lifespan. It thus seems plausible that lifespan prolongation by spermidine is due to the suppression of death from cardiac-related causes; however, to what degree the effects of spermidine on the heart account for its lifespan prolonging effects is a highly challenging question and remains to be investigated in a suitable experimental setting. Other protective effects of spermidine (including antitumorigenic effects17) might also contribute to its lifespan-extending effects, although we did not detect a reduced cancer incidence in aged spermidine-treated C57BL/6 mice. Notably, unlike other longevity-promoting agents47,48, spermidine had no detectable effects on glucose and insulin metabolism (Supplementary Fig. 17). Our data extend previous findings for the ability of spermidine to reduce arterial stiffness in aged mice49.

The cardioprotective effects of spermidine may be due to several underlying mechanisms, including both direct cardiac effects and extracardiac (systemic and renal) effects (Fig. 6). Systemic effects by spermidine might involve anti-inflammatory processes, as well as a blood-pressure-lowering effect (in the setting of salt-induced hypertension). Both chronic low-grade inflammation and hypertension have been reported to cause mechano-elastical impairment and mitochondrial dysfunction of cardiomyocytes29. Oral supplementation of spermidine promotes basal autophagic flux in cardiac tissue, and the direct protective effects of spermidine on the heart seem to require cardiomyocyte autophagy. Re-activation of basal autophagy by spermidine has recently been reported to maintain the regenerative function of skeletal muscle stem cells in aging mice50. It remains to be tested whether spermidine has a similar effect on other adult stem cells, including the putative cardiac ones that have been described to produce new and functional cardiomyocytes. Spermidine may otherwise facilitate rejuvenation of aged cardiomyocytes through increasing their mitochondria and myofilament content (as we observed in this study).

Figure 6: Mechanistic model of spermidine-mediated cardioprotection in aging and hypertensive heart failure.
Figure 6

Oral (dietary) supplementation of spermidine improves cardiac function by (i) promoting protective autophagy and mitophagy in cardiomyocytes; (ii) reducing subclinical, chronic inflammation (circulating TNF-α levels) that impinges on cardiomyocyte function; (iii) improving systemic arginine bioavailability that may favor the production of the vasodilator nitric oxide (NO) and thus decrease systemic blood pressure; and (iv) inhibiting kidney damage through the induction of autophagy. Improved renal function by spermidine treatment may additionally contribute to reduced arterial blood pressure and cardioprotection in the setting of salt-induced hypertension. In conjunction with spermidine's anti-inflammatory action, its autophagy-dependent effects on cardiomyocytes lead to enhanced mitochondrial volume and function, increased titin phosphorylation and reduced hypertrophy, which in turn result in improved mechano-elastical properties of cardiomyocytes.

Additionally, we found that spermidine supplementation reduces salt-induced hypertension and left ventricular hypertrophy, and it delays the progression to heart failure in Dahl salt-sensitive rats. Comparably with our findings in aged mice, spermidine-fed Dahl rats showed increased ventricular–vascular coupling (denoting improved cardiovascular efficiency) and enhanced titin phosphorylation. A mechanistic link between spermidine and titin phosphorylation is suggested by the increased global arginine bioavailability ratio in spermidine-treated Dahl salt-sensitive rats. Because arginine is the precursor to NO, which activates soluble guanylyl cyclase, increased arginine bioavailabilty should lead to increased activity of PKG, one of the main kinases that phosphorylates titin. PKG phosphorylates titin in a cardiac-specific domain (N2-Bus), and we found that spermidine treatment led to increased phosphorylation of N2-Bus both globally and at the PKG-specific residue (Ser4080). The functional consequence of titin phosphorylation is a reduction in titin-based myocardial passive stiffness22, which possibly explains how spermidine preserves the diastolic properties of the heart, which are disturbed in heart failure. In addition, the reduction of subclinical levels of circulating TNF-α might contribute to spermidine-induced titin phosphorylation by further increasing NO bioavailability through the reduction of oxidative stress29 (Fig. 6). It remains to be elucidated whether a cross-talk between autophagy and titin phosphorylation exists.

In line with our experimental findings, epidemiological analyses corroborate the novel concept that spermidine-rich diets are protective against cardiovascular disease and reduce the risk of cardiac death in humans. Interventional studies are warranted to test the therapeutic potential of dietary spermidine. We estimated dietary spermidine intake on the basis of food-frequency questionnaires; this is the standard method in nutritional epidemiology, but we acknowledge that this is an indirect method of assessing spermidine intake and does not take into account potential effects of food processing and preparation.

In summary, spermidine intake reduces cardiovascular pathologies, including hypertension and cardiac dysfunction, that are associated with heart failure. In the aging population, the incidence and prevalence of heart failure are increasing in association with co-morbidities such as obesity, diabetes and renal abnormalities. Our study paves the way for prospective clinical trials to evaluate the potential cardiovascular- and other health-promoting effects of spermidine-enriched diets.

Methods

Polyamine supplementation of mice and rats.

C57BL/6 WT mice were purchased from Charles River (C57BL/6J:Crl females), Envigo, (formerly Harlan Laboratories; C57BL/6N:Hsd females) or Janvier Labs, France (C57BL6/J:Rj males). Mice used for the late-in-life longevity experiments (Fig. 1d and Supplementary Tables 1 and 2) were obtained from our in-house animal facility (C57BL/6J mice derived from various breeding lines were divided equally to spermidine-supplemented or control groups). These mice originated from more than 20 breeding pairs that were originally used for backcrossing transgenic strains. We used only WT mice (confirmed by PCR-based genotyping) that originated from at least five backcrosses to the C57BL/6J strain. The C57BL/6J colony established in-house for backcrossing is renewed (purchased from Janvier labs) at least every 18 months to reduce genetic drift. Supplementation of polyamines (see also Fig. 1a for the feeding scheme) was conducted either lifelong (starting at 4 months of age) or late in life (starting at 18 months of age). Analysis of lifespan, 'omics' and blood parameters, ultrastructural analyses and mitochondrial function, as well as determination of cardiac parameters (hemodynamics and echocardiography, noninvasive blood pressure measurements), were performed in independent cohorts of animals.

Cardiomyocyte-specific Atg5-deficient mice (Atg5fl/fl;MLC2a-Cre+, also known as Atg5/ mice) were generated from Atg5fl/fl mice (obtained from Riken BRC, Japan, with the kind consent of Dr. Noboru Mizushima)51 crossed with knock-in mice expressing Cre recombinase driven by the cardiomyocyte-specific MLC2a gene (which encodes α-myosin light chain) promoter52 (MLC2a-Cre). After weaning, Atg5fl/fl;MLC2a-Cre+ (Atg5−/−) and Atg5fl/fl (Atg5+/+, controls) male mice were randomly divided into two treatment groups (spermidine-treated and nontreated controls). Treatment was initiated in young 1-month-old mice that were treated for up to 12–14 weeks of age before they were subjected to cardiac functional analyses (echocardiography and hemodynamics). This time point was selected based on a previous study6 showing that cardiac-restricted Atg5−/− mice have no cardiac phenotype at 3 months of age. PCR analysis of genomic DNA from ear biopsies was performed for the assessment of genotypes using published primers 'exon3-1', 'short 2' and 'check 2'; loxP-flanked Atg5 allele51 and primers MLC2a-1 (5′-GGATCTATGTGGAGCCCTGTCT-3′) and MLC2a-2 (5′-GCACACAAGTCCCTGGCTCTGT-3′; Cre allele)52. Adult ventricular cardiomyocytes were isolated from 12- to 16-week-old Atg5−/− male mice and their age-matched control littermates using a previously reported protocol53. Isolated cardiomyocytes were then subjected to immunoblotting for LC3, p62 and Atg5 to confirm Atg5 deficiency and impaired autophagy (Supplementary Fig. 10).

Dahl salt-sensitive male rats (n = 60 in total), an experimental model of hypertensive heart failure44, were purchased at the age of 4 weeks from the Charles River Laboratories (USA). Low-salt laboratory chow containing 0.3% NaCl (AIN-76A, Research Diets, Inc. USA) was fed to 60 weaning Dahl rats until the diet was switched to a high-salt diet (AIN-76A with 8% NaCl, Research Diets, Inc. USA) at 7 weeks of age. Twelve rats fed the low-salt diet were euthanized at the age of 7 weeks and served as a young control group. The remaining 48 rats were randomly divided into two cohorts each consisting of two groups (n = 12 animals per group): group 1 received regular drinking water without spermidine (nontreated control), whereas group 2 received regular drinking water supplemented with spermidine for a period of 7 (short-term cohort) or 12 (long-term cohort) weeks (Fig. 4a). Blood pressure was assessed independently in the short-term and long-term cohorts, with comparable results observed at similar ages (i.e., 7, 9 and 11 weeks). Hemodynamic cardiac assessment was conducted as a terminal procedure independently in the two cohorts, which also yielded comparable results with respect to spermidine effects, but at different ages (14 and 19 weeks).

Animals were housed under specific-pathogen-free (SPF) (mice) or conventional (rats) conditions in a 12-h light and 12-h dark cycle with access to food (standard chow for mice, Ssniff, cat. #V1534) and water ad libitum. Autoclaved nest material and paper houses served as cage enrichment for mice. The polyamines spermidine (3 mM in all experiments, with the exception of mouse lifelong supplementation for lifespan estimation (0.3 mM); mouse pathology analysis, glucose-tolerance test, metabolic parameters and body composition (0.3 and 3 mM)), spermine (3 mM) and putrescine (3 mM) were administered orally via drinking water prepared from aqueous stock solutions as described elsewhere8. Control animals received regular drinking water. Food and water consumption was recorded twice a week at the indicated ages (averaged over a time period of 4 weeks) by weighing water bottles and food pellets. Animal cages were always randomly assigned to treatment or control groups.

With the exception of animal care and housing, as well as experiments performed on the 7-week-old rat cohort, the experimenters were blinded to the age and treatment of the animals. All animal experiments were performed in accordance with national and European ethical regulation (Directive 2010/63/EU) and approved by the responsible institutional (Rutgers-New Jersey Medical School's Institutional Animal Care and Use Committee) or government agencies (District Government of Upper Bavaria, Germany and Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW, Austria: BMWF-66.010/0161-II/3b/2012, BMWF-66.007/0011-II/3b/2013, BMWF-66.010/0053-WF/II/3b/2014; BMWF-66.010/0160-WF/V/3b/2014, BMWFW-66.007/0002-WF/V/3b/2015, BMWFW-66.007/0024-WF/V/3b/2015).

Mouse lifespan analysis.

For lifespan experiments, the housing group size was maintained at two or more animals per cage. This was assured by moving singly housed animals (i.e., the last remaining animal in a cage) to cages containing animals of the same treatment group. Regular sentinel observation was used to ascertain the SPF health status of the animals. Animals were inspected daily for their general health status. Whenever the health condition of an animal indicated that its welfare was compromised, the mouse was euthanized and classified as either (i) an end-of-life (EOL)16 animal that was likely to die within the next 24–48 h, or (ii) a censored animal (due primarily to severe bite wounds, obvious tumors or skin lesions after excessive grooming). EOL animals were defined by established 'estimation-of-death criteria' similar to the Interventions Testing Program (ITP) guidelines of the National Institute on Aging (NIA)54, with the exception that any one of these criteria was considered sufficient to indicate impending natural death. The majority of animals were found dead during daily inspections (Supplementary Table 1). Of note, the overall lifespan observed in the present study was slightly shorter than in other studies using C57BL/6 mice15,55, a difference that may be due to differences in housing conditions, estimation-of-death criteria or the highly stringent criteria that we used to identify mice in severe discomfort, which must be euthanized, thus affecting the number of censored mice. Survival data were analyzed by the Kaplan–Meier method, and significant differences in survival distribution curves between the groups were determined using the Breslow test. OriginPro 2016 software (OriginLab) was used for survival data analysis, including the calculation of lifespan estimates. Censored animals were still counted as live individuals before the time at which they were euthanized. However, during the lifelong supplementation experiment (C57BL/6J:Crl female mice), we observed an unusually high incidence of C57BL/6-typical alopecia56 with signs of ulcerative dermatitis early in life (between the age of 200 d and 300 d), which required us to euthanize about 40% of all mice. We decided not to censor these mice but rather to completely exclude them from the survival analysis. Notably, in this experiment, the fraction of animal loss early during the experiment was similar in the spermidine-supplemented and control groups.

Analysis of body composition and metabolic parameters in aging mice.

Body composition (relative lean and fat mass) was determined by in vivo nuclear magnetic resonance (NMR) spectroscopy using the Minispec mq NMR analyzer (Brucker Optics, USA), according to the manufacturer's instructions. General activity (assessed by the total number of beam breaks, XT + YT counts) as well as the respiratory exchange rate (RER, expressed as the volumetric quotient of carbon dioxide elimination of the animal divided by oxygen consumption, VCO2/VO2) was determined using PhenoMaster cages (TSE-Systems). Mice were singly housed, and the first complete 12-h dark and light cycles were recorded for parameter analysis after an initial adaptation phase of 8 h.

Intraperitoneal glucose-tolerance test.

Intraperitoneal glucose-tolerance tests were performed as previously described57. Briefly, the food was removed for 16–18 h overnight. During the experiment, mice were singly housed in empty cages without food, water or bedding. The basal fasting blood glucose level was determined using a drop of blood collected from the tail vein, using an Accu-Chek Aviva glucose analyzer (Roche–Mannheim, Germany). Thereafter, mice were injected intraperitoneally with 2 g of glucose per kg fasting body mass, and blood glucose levels were determined 15, 30, 60 and 120 min after glucose injection.

Fasting insulin determination.

Fasting insulin was measured in plasma obtained from 3-h fasted mice (water supplied ad libitum) using an ultrasensitive mouse insulin ELISA Kit (Crystal Chem, Downers Grove, Illinois, USA). The wide-range assay protocol was performed according to the manufacturer's protocol. Insulin concentrations of the samples were calculated using a semi-logarithmic 4-parameter-fit standard curve in Prism 6 (GraphPad Software Inc., La Jolla, California, USA).

Noninvasive blood pressure measurements.

Systolic, mean and diastolic blood pressures, as well as heart rate, were noninvasively measured in conscious animals by the tail-cuff method using the CODA system (Kent Scientific Corporation, USA). Animals were placed in a cylindrical holder on a temperature-controlled platform (kept at 37 °C), and recordings were performed in steady-state conditions. Blood pressure values were averaged from three consecutive measurements.

Echocardiography.

Transthoracic echocardiography was performed similarly as described58. Briefly, lightly anesthetized mice (0.5% isoflurane and 99.5% O2) and rats (2% isoflurane and 98% O2) were placed on a temperature-controlled warming pad (kept at 37 °C) and imaged in the supine position using a high-resolution micro-imaging system equipped with a 30-Mhz and 17.5-Mhz linear array transducer (Vevo770 Imaging System, VisualSonics, Inc., Canada), respectively. Parasternal long-axis M-mode tracings of the left ventricle (LV) were recorded at the level just above the papillary muscles, and LV end-diastolic diameter (LVEDD), LV end-systolic diameter (LVESD), interventricular septum thickness (IVS) and LV posterior wall thickness (PW) were measured. Fractional shortening was calculated using the equation: 100 × ((LVEDD − LVESD) / LVEDD). Left ventricular end-systolic and end-diastolic volumes, as well as ejection fraction, were calculated according to the Teichholtz formula, and the LV mass was calculated according to the Troy formula59. The ratio of peak early-filling velocity of transmitral flow (E) to the corresponding mitral valve annulus velocity (E′) was evaluated using pulsed-wave and tissue Doppler imaging, respectively. All measures were averaged from three consecutive cardiac cycles under stable conditions.

Hemodynamic pressure–volume measurements.

Invasive hemodynamic measurements and analysis of pressure–volume (PV) loops were performed as a terminal procedure according to established protocols60. Mice and rats were anesthetized (induction: 3–4% isoflurane with 96–97% O2; maintenance: 1–2% isoflurane with 98–99% O2), intubated and mechanically ventilated (rats, SAR 1000, CWE, Inc.; mice, Harvard Mini-Vent (type 845), Harvard Apparatus). The animals were placed on a temperature-controlled heating platform (TC-1000, CWE, Inc.), and their core temperature was maintained at 37.5 °C. Heart rate (HR) was continuously monitored using an electrocardiogram (Animal Bio Amp, FE136; ADInstruments). A mouse 1.4 F or rat 2.0 F pressure-conductance catheter (SPR-839 and SPR-838, respectively; Millar instruments) was inserted into the right carotid artery and advanced into the ascending aorta. After recording aortic (systemic) blood pressure, the catheter was advanced through the aortic valve into the LV where PV signals were continuously obtained (MPVS ultra, Millar Instruments) and recorded in a digital form (MPVS PL3508 PowerLab 8/35, ADInstruments) at the acquisition rate of 2 kHz for later offline analysis (LabChart 8 pro, ADinstruments). Animals were allowed to stabilize for 5 min, then baseline load-dependent parameters of systolic and diastolic function, including LV end-systolic pressure (ESP), LV end-diastolic pressure (EDP), LV end-systolic volume (ESV), LV end-diastolic volume (EDV), stroke volume (SV), cardiac output (CO), arterial elastance (Ea), ejection fraction (EF), maximal slope of LV systolic pressure increment (dP/dtmax), maximal slope of diastolic pressure decrement (dP/dtmin) and time constant of LV pressure decay (τ) were measured and averaged from ten consecutive beats, with ventilation suspended at end-expiration. After baseline measurements, transient occlusion of the inferior vena cava (again with ventilation suspended) was performed and used to calculate multibeat-derived, load-independent measures of cardiac systolic and diastolic functions: linear end-systolic pressure–volume relationship (ESPVR), calculated as ESP = end-systolic elastance (Ees) × ESV + V0, was used for the evaluation of cardiac contractility, whereas exponential end-diastolic pressure–volume relationship (EDPVR), calculated as EDP = α × expβ × EDV, was implemented in assessing end-diastolic stiffness. In addition, ventricular–vascular coupling (VVC), indicative of cardiovascular efficiency, was calculated as the ratio between Ees and Ea. To correct for the large differences in body (and heart) size between young (7-week-old) and older (14- and 19-week-old) Dahl salt-sensitive rats, volumes were indexed to body surface area61, as defined by 9.1 × (body weight)2/3. A polyethylene catheter was inserted into the right external jugular vein for hypertonic saline (10% NaCl) injection (10 μl in mice and 40 μl in rats) to calculate parallel conductance at the end of the experiment. Due to detected discrepancies of conductance- and echocardiography-derived left ventricular (LV) volumes in Atg5-deficient mice (data not shown), the slope factor α (a factor that is used to correct conductance-based estimation of ventricular volumes) was calculated using echocardiography-derived stroke volume, which correlates with the gold-standard method of volume estimation using Doppler flow-probes62. After assessment of hemodynamic parameters, animals were euthanized, and a gravimetric analysis of different organs, including heart, lungs, liver, spleen and kidneys, was performed.

Histological evaluation.

Tissues were fixed in 4% neutral-buffered formaldehyde and paraffin-embedded. Kidneys were cut into 4-μm-thick sections followed by periodic acid–Schiff (PAS) staining (Merck, Darmstadt, Germany). The extent of glomerular injury was evaluated by assigning a semiquantitative PAS score as described previously63. Furthermore, we evaluated the extent of arterial hyalinosis and fibrosis semiquantitatively using a similar scoring system as above. The number of tubular casts in six adjacent high-power fields (magnification 400×) was counted. To assess the extent of renal fibrosis and damage, picrosirius red staining was performed. Renal tissue was first stained with Gill's hematoxilin (Merck), then with 1% Sirius red (Sigma-Aldrich, St. Louis, MO, USA) in a saturated aqueous solution of picric acid and then differentiated in acidified water. To investigate the cardiac death and cancer development phenotype (pathology analysis), 4-μm-thick sections of heart, liver, brain, spleen and kidney were stained with hematoxylin and eosin as follows: after rehydration, sections were stained in Mayers' acid hemalum for 2 min, blued in tap water for 2 min, contrasted with Eosin Y for 15 s, rinsed in tap water for 5 s, dehydrated in an increasing ethanol series and placed in xylene before mounting with Entellan (all chemicals from Merck, Germany). Slides were read using an Axioplan bright-field microscope (Zeiss, Germany) by two pathologists independently (D.J. and F.N.).

Assessment of urinary Lcn-2 levels.

Urinary levels of Lcn-2 protein were assessed with the Rat Lcn-2/NGAL DuoSet (R&D Systems, Abingdon, UK) kit according to the manufacturer's instructions.

Transcriptome expression profiling.

Expression profiling was done from hearts of four treated (3 mM lifelong spermidine supplemented; see Fig. 1a) and four untreated mice at the age of 30–32 months, as well as from four 6-month-old untreated control mice. Mice were euthanized between 9 a.m. and 12 p.m. (noon). Hearts were dissected, immediately frozen in liquid nitrogen and stored at −80 °C. For total RNA isolation using RNeasy Midi kits (Qiagen), hearts were thawed in Trizol Reagent (Sigma) and homogenized using a Polytron homogenizer (Heidolph). 500 ng of total RNA was amplified in a single round using the Illumina TotalPrep RNA Amplification Kit (Ambion). 750 ng of amplified RNA was hybridized to Illumina MouseRef8 v2.0 Expression Bead Arrays, which cover 25,600 annotated RefSeq transcripts. Staining and scanning (Illumina HiScan Array reader) were done according to the Illumina expression protocol. Illumina Genomestudio software was used for background correction and normalization (cubic spline algorithm). Significant gene regulation was analyzed using significant analysis of microarrays (SAM), included in the TM4 software package64. False discovery rates (FDRs) were calculated by 1,000 random permutations. The selection of the top differentially expressed genes with reproducible up- or downregulation includes genes with an FDR below 10% and a mean fold change above 1.5 fold. Over-represented functional annotations (using Gene Ontology) were identified using Ingenuity Pathway Analysis. Genes and samples were clustered for heat map representation using the hierarchical clustering function (complete linkage) of Genesis software (release 1.7.6)65.

Proteomics analysis.

Heart specimens were obtained from three aged, three young and three aged mice that were treated with spermidine. Whole-tissue lysates (50 mM Tris-HCl, pH 7.4, 1 mM EDTA, 1 mM EGTA, 1% Triton X-100 supplemented with 1× Complete protease inhibitor cocktail (Roche)) were prepared in SDS loading buffer; samples were reduced with 1 mM DTT (Sigma-Aldrich) for 5 min at 95 °C and alkylated using 5.5 mM iodoacetamide (Sigma-Aldrich) for 30 min at 20 °C. Protein mixtures were separated by 4–12% gradient SDS–PAGE (NuPAGE, Invitrogen). The gel lanes were cut into six equal slices, the proteins were in-gel digested with trypsin (Promega)66, and the resulting peptide mixtures were processed on STAGE tips67 and analyzed by LC–MS/MS. MS measurements were performed on an LTQ Orbitrap XL mass spectrometer (Thermo Fisher Scientific) coupled to an Agilent 1200 nanoflow–HPLC (Agilent Technologies GmbH, Waldbronn, Germany) as described68. MS raw data files were uploaded into MaxQuant software (version 1.4.1.2 (ref. 69)), which was used for identification of proteins and protein ratio assignment, for peak detection, generation of peak lists of mass error corrected peptides and for database searches. A full-length UniProt mouse database additionally containing common contaminants, such as keratins and enzymes used for in-gel digestion (based on UniProt mouse FASTA version July 2014), was used as a reference. Carbamidomethylcysteine was set as a fixed modification; methionine oxidation and protein amino-terminal acetylation were set as variable modifications, and 'label-free' was chosen as the quantitation mode. Three miscleavages were allowed, enzyme specificity was trypsin/P, and the MS/MS tolerance was set to 0.5 Da. The average mass precision of identified peptides was in general less than 1 p.p.m. after recalibration. Peptide lists were further used by MaxQuant to identify and relatively quantify (label-free quantification, LFQ) proteins using the following parameters: peptide and protein false discovery rates, based on a forward-reverse database, were set to 0.01; the minimum peptide length was set to 7; the minimum number of peptides for identification and quantifiation of proteins was set to 2, of which one must be unique; the minimum ratio count was set to 2; and identified proteins were requantified. The 'match-between-run' option (1 min) was used. The 10% most reproducible changes based on TTEST analysis between aged control and aged spermidine groups (yielding a p-value cut-off P < 0.15) were considered as potential hits. To visualize age- or spermidine-induced changes in protein abundance (heat map presentation), the LFQ protein intensities of each sample were divided by the mean of respective aged control intensities (LFQ ratios). Proteins and samples were clustered for heat map representation using the hierarchical clustering function (complete linkage) of Genesis software (release 1.7.6)65.

Metabolite analysis by high-performance liquid chromatography (HPLC) and mass spectrometry (MS).

Tissue-metabolite analysis was performed on whole-tissue lysates. Tissues were snap-frozen in liquid nitrogen and stored at −80 °C until metabolite extraction. For metabolite extraction, tissues were pulverized on dry ice using a mortar and pestle. A quantitative HPLC–MS/MS-based determination of polyamines (ornithine, putrescine, spermidine and spermine) was performed essentially as described70 in plasma or from whole blood and cardiac tissue acid extracts as indicated. Plasma was prepared by centrifugation of EDTA-collected blood at 2,500g for 20 min. 10 μl EDTA-collected blood or 10–15 mg pulverized tissue was used to generate whole-blood or tissue extracts, respectively, with a final extract volume of 750 μl.

For metabolomic analysis, mice (12 animals per group) were fasted overnight (12–16 h), and hearts were removed and snap-frozen (liquid nitrogen) immediately after euthanizing the animals. Cardiac tissue extracts using 20–40 mg tissue wet weight were prepared by cold-methanol extraction as described71. A boiling-ethanol extract from yeast grown aerobically on [13C]glucose as the carbon source served as an internal standard for MS analysis72 and was spiked into tissue samples before extraction. Metabolomics samples were measured with a LC/MS system (Thermo Fisher Scientific). A Dionex Ultimate 3000 HPLC setup equipped with an Atlantis T3 C18 pre-analytical and analytical column (Waters, USA) was used for compound separation before mass spectrometric detection with an Exactive Orbitrap system. The method was adapted from Buescher et al.73. The injection volume was 10 μl per sample, and negative ionization of metabolites was carried out via heated electrospray ionization. For the online detection of the metabolites, a full scan of all masses between 70 and 1,100 m/z with a resolution of 50,000 (at m/z 200) was used. LC–MS-data acquisition was conducted with Xcalibur software (version 2.2 SP1, Thermo Fisher Scientific (Waltham, USA)), automated peak integration with TraceFinder software (version 3.2, Thermo Fisher Scientific (Waltham, USA)). Screening and manual correction of peak integrations were done within the TraceFinder package. 12C-peak area/13C-peak area ratios were normalized to the respective tissue sample wet weight. Age- or spermidine-induced changes in metabolite abundance were identified by dividing 12C-peak area/13C-peak area ratios of each sample to the mean of respective aged control samples (aged control-normalized ratios) and the median was used for heat map representation. Principal-component analysis (PCA) was applied to the complete data set using the R-function prcomp (stats-package) with R version 3.1.1 to detect potential clustering and distances between samples.

Plasma arginine and citrulline determination.

Arginine and citrulline concentrations were measured in serum with modifications of previously described chromatographic methods74,75. Briefly, after precipitation of serum with perchloric acid following neutralization of the supernatant with sodium carbonate, the extracted amino acids were derivatized online with o-phtalaldehyde and separated on a reverse-phase column with gradient elution. Quantification was performed with ratios of fluorescence signals of the relevant amino acids to the internal standard norvaline in comparison to the appropriate calibration curves. Intra-assay and inter-assay CV's were all below 10%.

Isolation of cardiac mitochondria and high-resolution respirometry.

Isolation of cardiac mitochondria and high-resolution respirometry was performed similarly to published methods26, using an isolation buffer containing 0.2% BSA and 5 mg/ml bacterial protease (Sigma-Aldrich, P8038). Hearts were quickly excised immediately after terminal blood collection under isoflurane anesthesia and processed as described26. Optical density at 600 nm (OD600) of the final mitochondrial suspension (isolation buffer including BSA, but excluding protease) was determined by serial dilutions in a TECAN GeniusPro plate reader and served as an estimate of mitochondrial mass used for normalization. Oxygen consumption was assayed at 37 °C with an Oxygraph-2k high-resolution respirometer (Oroboros Instruments, Austria) according to the manufacturer's recommendations. OD600 equivalents of isolated myocardial mitochondria corresponding to 10–20 μg mitochondrial protein were diluted in 2 ml equilibrated measurement medium (100 mM sucrose, 20 mM K+-TES (pH = 7.2), 50 mM KCl, 2 mM MgCl2, 1 mM EDTA, 4 mM KH2PO4, 3 mM malate and 0.1% (vol/vol) BSA) within a closed and calibrated system with constant stirring. For measurement of complex I activity, 5 mM pyruvate and 10 mM glutamate were added as reduced substrates after initially recording residual oxygen consumption (ROX) resulting in leak respiration (LEAK), followed by sequential additions of 450 μM ADP (OXPHOS) and 10 μM cytochrome c (OXPHOS + Cytc). 1.25 μM oligomycin were finally used to monitor the residual respiration (proton leak) followed by titration with FCCP (0.5 μM steps) to assess maximum respiration in the uncoupled state and subsequent inhibition of respiratory activity through antimycin A. For each oxygraphic protocol (see Supplementary Fig. 7a), two mice were always processed in pairs (one aged control (24-month-old) combined with either one aged spermidine-supplemented (24-month-old + S) or one young control (5-month-old)). The absolute oxygen concentration remained above 100 nmol/ml throughout all of the recordings.

Plasma cytokine determination.

Plasma cytokine levels of apparently healthy mice or rats (i.e., subclinical cytokine levels) were assessed by electrochemiluminescence-based immunoassays using the MSD V-Plex Plus Proinflammatory Panel 1 (mouse) assay kit or a customized TNF-α and IL-10 V-Plex Rat cytokine kit (Meso Scale Diagnostics, USA). 25 μl of plasma derived from EDTA-collected whole blood by centrifugation (20 min, 2,500g) was processed according to the manufacturer's instructions. Whole blood was obtained from isoflurane-anesthetized animals at the age of 21 (nonfasted) or 23 (overnight-fasted before euthanization) months by terminal bleeding (mice) or directly from the heart immediately at the end of hemodynamic assessment (rats). In addition to analyzing the complete inflammatory cytokine data set (subclinical inflammatory status) of aged mice (Supplementary Fig. 8a), we performed an additional analysis, in which mice with potentially acute inflammatory conditions were excluded (Supplementary Fig. 8b), due to the fact that such mice, though lacking overt clinical manifestations, may strongly confound interpretation of the age-associated (chronic) low-grade inflammation status. Animals with two or more statistically-identified outlier cytokines were considered as animals with an acute inflammatory condition. Animals with a single outlier cytokine were included in the analysis, but the respective value was winsorized (see Supplementary Fig. 8). An outlier cytokine was identified using the 2.2-fold inter-quartile range (IQR) labeling rule applied to the respective group. Of note, the total number of excluded and winsorized values was similar in all aged groups.

Immunoblotting and assessment of autophagic flux.

Measurements of the protein levels of APG5L/ATG5 and the autophagy substrate p62 (SQSTM1), as well as measurements of LC3 lipidation (LC3-II/GAPDH ratio), were performed on tissue extracts using lysis buffer containing 50 mM Tris-HCl, pH 7.4, 1 mM EDTA, 1 mM EGTA, 1% Triton X-100 supplemented with 1× Complete protease inhibitor cocktail (Roche). Immunoblotting on polyvinylidenfluorid (PVDF) membranes was performed by standard procedures and probed with antibodies recognizing APG5L (ATG5) (dilution: 1:1,000, ab018327, Abcam), p62 (SQSTM1) (dilution: 1:1,000, PM045, MBL), LC3B (dilution: 1:1,000, #2775, Cell Signaling Technologies), GAPDH (dilution: 1:1,000, #2118, Cell Signaling Technologies), and horseradish peroxidase (HRP)-linked anti–rabbit IgG (dilution: 1:3,000, #7074, Cell Signaling Technologies). Data were analyzed and quantified by densitometry with ImageLab software (Bio-Rad laboratories). Full scans of representative blots are shown in Supplementary Figure 18. Autophagic flux in WT animals was assessed using leupeptin-based inhibition of LC3-II turnover according to a published protocol30. Following 4 weeks of spermidine supplementation, 13-month-old C57BL6/JRj male mice (Janvier, France) were subjected to intraperitoneal (i.p.) injection of leupeptin (40 mg per kg body weight, Sigma, Austria) or vehicle (0.9% sterile sodium chloride solution). Fifty minutes after the i.p. injection, animals were euthanized, and their hearts were excised. Age-matched mice that did not receive spermidine were used as controls. Cardiac tissues were subjected to immunoblot analysis of LC3 (see above).

Autophagic flux using transgenic animals.

Transgenic mice with cardiac-specific expression, with the mouse Mlc2a promoter, of tandem-fluorescent mRFP–GFP–LC3 (Tg-tf-LC3) generated on a C57BL/6 background were used31. In order to evaluate autophagic flux in vivo, 3-month-old Tg-tf-LC3 mice were supplemented with 3 mM spermidine for 2 weeks (mice receiving normal drinking water served as controls). In some mice, chloroquine (10 mg/kg) was injected 4 h before euthanasia, and the number of fluorescent LC3 dots (indicative of autophagosomes and autolysosomes) was determined by confocal microscopy. Fresh heart slices were embedded with tissue-TEK OCT compound (Sakura Finetechnical Co., Ltd.) and frozen at −80 °C. 10-μm-thick sections were obtained from the frozen tissue samples using the Leica Biosystems CM3050 S Research Cryostat (Leica), air-dried for 30 min, fixed with 10% formalin for 10 min, mounted using a reagent containing DAPI and viewed under a fluorescence microscope.

Evaluation of mitophagy.

Evaluation of mitochondrial autophagy was achieved by monitoring Mito-Keima and Lamp1–YFP fluorescence as previously described32. Briefly, 6-month-old (young) and 18-month-old (aged) C57BL/6J mice were injected with AAV-Mito-Keima76 and AAV9-Lamp1-YFP76 4 weeks preceding analyses of Mito-Keima fluorescence and Lamp1–YFP fluorescence using confocal microscopy. Mice were treated with spermidine (3 mM) or vehicle (normal drinking water) for 3 weeks. Ratiometric images of Mito-Keima fluorescence (561 nm/457 nm excitation) were calculated and visualized in blue color. High ratiometric signals were defined as Mito-Keima positive areas, indicating mitochondrial autophagy (mitophagy). Mito-Keima fluorescence detected after excitation at 561 nm is shown in red color, and fluorescence after excitation at 457 nm is shown in green color. Merged images of Mito-Keima fluorescence (after 561 nm excitation) and Lamp1–YFP (shown in blue color) confirmed lysosomal localization of Mito-Keima-positive areas.

Titin isoform separation and phosphorylation assays.

Homogenized myocardial samples were analyzed by 1.8% SDS–PAGE. Protein bands were visualized using Coomassie blue, scanned and measured densitometrically, as described77. In place of a protein size marker in the titin range, human heart and diaphragm extracts (Biobank at Department of Cardiovascular Physiology, Bochum, Germany) were used as standards for N2B/N2BA and N2A isoforms identification78, respectively. Western blotting was performed using antibodies specific for phosphoserine and phosphothreonine (cat. no. PP2551, Biotrend Chemicals, Cologne, Germany, former ECM Biosciences) to measure global titin phosphorylation, and with affinity-purified phosphosite-specific anti-titin against phospho-Ser4080 in the N2Bus domain of mouse titin (custom-made against the peptide LFS(PO3H2)EWLRNI; dilution 1:500; Eurogentec, Brussels, Belgium)78. As a secondary antibody, we used HRP-conjugated IgG (Acris Antibodies, Herford, Germany). For signal amplification we used the Enhanced Chemoluminescence western blot detection kit (GE Healthcare, Little Chalfront, UK). Staining was visualized using the LAS-4000 Image Reader (Fuji Science Imaging Systems), and densitometry was performed using Quantity One 1-D Analysis software (Bio-Rad laboratories). Equal protein loading and transfer was confirmed by densitometry of the signal on Coomassie-stained polyvinylidenfluoride (PVDF) membranes, and western blot signals were normalized to the corresponding PVDF signals. Full scans of representative blots are shown in Supplementary Figure 18. Two samples per group were processed in parallel on the same blot, and the standards (always using the same identical extracts) were used for intra-gel normalization, allowing for quantitative inter-gel comparisons.

Design-based stereology.

Mouse hearts were fixed by vascular perfusion with 4% neutral-buffered formaldehyde and kept in the fixative for at least 24 h. Then the left ventricle (including the interventricular septum) was isolated, weighed and randomly sampled for electron microscopy (EM). The samples were post-incubated in a fixative containing 1.5% paraformaldehyde and 1.5% glutaraldehyde in 0.15 M HEPES buffer. Subsequently, the samples were post-fixed with 1% osmium tetroxide, stained en bloc with a half-saturated uranyl acetate/water solution, dehydrated in an ascending acetone series and finally embedded in epoxy resin. From the embedded samples, ultrathin sections were generated, mounted on EM support grids and post-stained with lead citrate and uranyl acetate. The sections were analyzed with a Morgagni transmission electron microscope (FEI, Eindhoven, the Netherlands), and test fields for morphometry were assessed using a digital camera according to a systematic uniform random sampling scheme79. To estimate the volume fractions of cardiomyocytes and their organelles (myofibrils, mitochondria, sarcoplasm, nuclei and lipofuscin granules), as well as those of the interstitium and its subcompartments (collagen fibrils and capillaries), point grids were projected onto the test fields, and the number of points hitting the structures of interest and the reference volume were counted. The volume fraction of a structure was calculated by dividing the number of points hitting the structure by the number of points hitting the reference volume80. The total volume was then calculated by multiplying the volume fraction of a structure with the reference volume, for example, the volume of the left ventricle. The latter was estimated by dividing the ventricular weight by the density of muscle tissue, 1.06 g/cm3 (ref. 81).

Human study subjects, quantification of nutritional intakes and data analyses.

Study subjects belonged to the Bruneck Study, a prospective, population-based survey on the epidemiology and pathogenesis of atherosclerosis and cardiovascular disease (CVD)46. Extended study details and risk factor assessment using validated standard procedures can be found online (Supplementary Note). Long-term average dietary intakes were ascertained by a dietitian-administered 118-item food frequency questionnaire (FFQ). This questionnaire was based on the gold standard FFQ by Willett and Stampfer82 and modified to better fit the dietary peculiarities in the survey area. Special nutrient data were compiled for polyamines using published data (see online Table in the Supplementary Note). Death due to heart failure was defined according to ICD-10 diagnosis codes I50.x, I13.0, I13.2, I11.00, I11.01 and I97.1 (considering heart failure following cardiac surgery or due to presence of cardiac prosthesis). Clinically overt heart failure was defined according to gold standard Framingham criteria (presence of at least two major criteria or one major criterion in conjunction with two minor criteria)83 and assessed as part of the 2010 re-examination of the Bruneck cohort. The primary composite CVD (incident CVD) end point included vascular death (from myocardial infarction (MI), ischemic stroke or sudden cardiac death), acute coronary artery disease (consisting of nonfatal MI, new-onset unstable angina (defined as angina at rest), crescendo angina or new-onset severe angina, and acute coronary interventions) and ischemic stroke. MI was defined by the World Health Organization's criteria for definite disease status. Stroke was classified according to the criteria of the National Survey of Stroke. All other revascularization procedures (percutaneous intervention, bypass and surgery) were carefully recorded. Ascertainment of events or procedures did not rely on hospital discharge codes or the patient's self-report but rather on a careful review of medical records provided by the general practitioners and files of the Bruneck Hospital and the extensive clinical and laboratory examinations performed as part of the study protocols. Incident CVD events were ascertained from 1995 through 2010, and 100% follow-up was achieved84. Causes of death, as well as clinically overt heart failure, were categorized by a senior researcher who was unaware of the dietary data. Dietary intakes were cumulatively averaged over follow-up visits to capture long-term dietary behavior and to reduce within-subject variability. Polyamine intake was log-transformed and adjusted for total caloric intake by using the residual method85 in a log-log simple linear model. Polyamine intake was then scaled to unit variance such that effects were estimated for a one-s.d. increase in intake.

Plasma protein levels were measured by the Olink Proseek Multiplex Inflammation I (n = 92 proteins) and Olink Proseek Multiplex CVD I (n = 92 proteins) proximity-extension assays86 in samples from participants of the Bruneck 2000 assessment (n = 658). For proteins measured in both assays (n = 23 proteins), measurements from the newer Inflammation I assay were used, and proteins with more than 25% non-detects (n = 30) were excluded, leaving 131 proteins for analysis. Proteins with skewness exceeding 1 were log-transformed. Skewness was calculated using the e1071 package for R, which used a formula m3/s3, where m3 is ∑i (xi - μ)3/n, μ the sample mean, n the sample size, s the sample s.d., and xi the individual data values. Polyamine intake was averaged over the assessments made in 1995 and 2000, calorie-adjusted and log-transformed. Association of dietary polyamine intake to plasma protein levels was tested using Pearson correlation partial to age, sex, and caloric intake, and in this analysis multiple testing was accounted for by the Benjamini–Hochberg procedure (particularly suitable for high-dimensional data).

The numbers of unique subjects and of diet records used for this analysis were 829 and 2,540, respectively. Statistical procedures are detailed in the Supplementary Note. All P values are two-sided, and an α level of 0.05 is used throughout. Analyses were conducted with R 3.1.1. See Supplementary Note for more details on outcome and methodologies.

Statistical analysis of the experimental data.

Data are presented either as dot plots and line graphs showing mean ± s.e.m. or as box plots, showing mean (dot), median (center line) and interquartile range (IQR), along with whiskers showing minima and maxima within 1.5 or 2.2 IQR as indicated. Sample sizes were chosen based on those in the literature (i.e., lifespan analyses54) or using standard power analysis (statistical power ≥0.8, and α value < 0.05) based on our preliminary echocardiographic data obtained from young and aged animals yielding 9 or 12 animals per group (Student's t-test or ANOVA, respectively). For some measurements in mice, sample size was adapted to the observed effect size, and numbers were increased to 15–20 animals per group. Indicated sample size (in figure legends) always refers to biological replicates (independent animals). Unless otherwise stated, statistical testing was performed using IBM SPSS statistics software (Version 23). Student's t-test (paired or unpaired, as appropriate) and analysis of variance (ANOVA) with Tukey's post hoc tests were used for comparisons between two or multiple groups, respectively. Where appropriate, a two-way ANOVA was applied (independent or mixed design that was Greenhouse–Geisser-corrected in case of sphericity violation as tested by Mauchly's test) followed by testing simple main effects (i.e., multiple comparisons of different levels of each factor that were Bonferroni-corrected if the factor had more than two levels) in case of main-factor87 or interaction significance. Myocardial chamber stiffness constant (β) and end-systolic elastance (Ees) were compared between the groups including other parameters in the fitting equation (α in case of exponential end-diastolic pressure–volume relationship and V0 in case of linear end-systolic pressure–volume relationship) as co-variates to account for their influence using analysis of covariance (ANCOVA)88 after confirming homogeneity of regression slopes between the compared groups.

The reported significance values are always two-sided. Overall normal distribution of data (residuals) was confirmed using Shapiro–Wilk's test. Homogeneity of variance was tested using Levene's test. Data violating these assumptions were transformed to meet the assumptions or tested as follows: non-normally distributed data were tested by nonparametric Kruskal–Wallis test after confirming equality of ranks variances (tested by nonparametric Levene's test) and followed by multiple comparisons using Mann–Whitney U test controlling for family-wise error rate by adjusting the significance level (α) according to the number of multiple comparisons (n) (α = 0.05/n). Whenever heterogeneous variances were an issue, Welch's t-test or Welch's test with Games–Howell-corrected post hoc comparisons were applied.

To compare tumor incidence in aged mice, binomial logistic regression was conducted. Details of statistical analysis applied to human data, -omics data or lifespan analyses by the Kaplan–Meier method are indicated in their respective sections in the Online Methods.

Accession codes.

Gene Expression Omnibus (GEO): array data are available under accession code GSE86882. ProteomeXchange: data are available under accession code PXD004916.

Accessions

Primary accessions

Gene Expression Omnibus

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Acknowledgements

We thank N. Mizushima (University of Tokyo) for providing Atg5fl/fl mice and K. Chien (Harvard University) for providing MLC2a-Cre mice. We are grateful to R. Schreiber for assistance with high-resolution respirometry. F.M. is grateful to the Austrian Science Fund FWF (Austria) for grants P23490-B12, P24381, P 27893, I1000 and 'SFB Lipotox', as well as to BMWFW and the Karl-Franzens University for grant 'Unkonventionelle Forschung'. S. Sedej is supported by the Austrian Science Fund FWF through grant P27637-B28 and by a grant from the Austrian Heart Foundation (Österreichischer Herzfonds). T.E. is recipient of an APART fellowship from the Austrian Academy of Sciences. M.A. received funding from the FWF (grant P27637-B28) and was trained within the frame of the Ph.D Program Molecular Medicine of the Medical University of Graz. S.B. is supported by the Austrian Science Fund FWF (grant P27183-B24) and the Swedish Research Council (grant 2015-05468). J.D. is supported by the DFG via grant CRC1140 and by the Swiss National Science Foundation, grant 31003A-166482/1. P.R. is supported by the Austrian Science Fund (FWF) project J3742-B28 and NAWI Graz. W.A.L. is supported by EU (FP7) program MEDIA and the German Research Foundation grant SFB1002, TPA8. G.K. is supported by the LeDucq Foundation, the Cancéropôle Ile-de-France, the Institut National du Cancer (INCa), the European Research Council (ERC), LabEx Immuno-Oncology and the Paris Alliance of Cancer Research Institutes (PACRI). The project was supported by grants from the Helmholtz Portfolio Theme 'Metabolic Dysfunction and Common Disease' (J.B.), the Helmholtz Alliance ('Imaging and Curing Environmental Metabolic Diseases (ICEMED)'; J.B.) and the German Federal Ministry of Education and Research (Infrafrontier grant 01KX1012) (M.H.d.A.). S.J.S. was supported by grants from the Bundesministerium für Bildung und Forschung (Smartage, 01GQ1420A), the Forschungszentrum für neurodegenerative Erkrankungen and the Deutsche Forschungsgemeinschaft (Exc 257). S.K., J.W., R.P., P.W. and M.M. are supported by an excellence initiative (Competence Centers for Excellent Technologies; COMET) of the Austrian Research Promotion Agency FFG: 'Research Center of Excellence in Vascular Ageing–Tyrol, VASCage' (K-Project Nr. 843536) funded by the BMVIT, BMWFW, the Wirtschaftsagentur Wien and the Standortagentur Tirol. This work was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas's NHS Foundation Trust and King's College London in partnership with King's College Hospital. M.M. is a Senior Research fellow of the British Heart Foundation. The authors are grateful for the support by staff members of the animal facilities of the Institutes of Biomedical Research (IBF, Medical University of Graz) and Molecular Biosciences (IMB, University of Graz) and acknowledge the Center for Medical Research (ZMF) of the Medical University of Graz for assistance.

Author information

Author notes

    • Tobias Eisenberg
    •  & Mahmoud Abdellatif

    These authors contributed equally to this work.

    • Guido Kroemer
    • , Simon Sedej
    •  & Frank Madeo

    These authors jointly directed this work.

Affiliations

  1. Institute of Molecular Biosciences, NAWI Graz, University of Graz, Graz, Austria.

    • Tobias Eisenberg
    • , Sabrina Schroeder
    • , Slaven Stekovic
    • , Tobias Pendl
    • , Alexandra Harger
    • , Andreas Zimmermann
    • , Christoph Ruckenstuhl
    • , Christopher Dammbrueck
    • , Angelina S Gross
    • , Didac Carmona-Gutierrez
    • , Sabrina Büttner
    • , Oskar Knittelfelder
    • , Patrick Rockenfeller
    • , Tarek Moustafa
    • , Guenter Haemmerle
    •  & Frank Madeo
  2. BioTechMed Graz, Graz, Austria.

    • Tobias Eisenberg
    • , Simon Sedej
    •  & Frank Madeo
  3. Department of Cardiology, Medical University of Graz, Graz, Austria.

    • Mahmoud Abdellatif
    • , Uwe Primessnig
    • , Albrecht Schmidt
    • , Viktoria Herbst
    • , Corinna Simonini
    • , Burkert Pieske
    •  & Simon Sedej
  4. Department of Internal Medicine and Cardiology, Campus Virchow-Klinikum, Charité–University Medicine Berlin, Berlin, Germany.

    • Uwe Primessnig
    •  & Burkert Pieske
  5. Department of Internal Medicine, Medical University of Graz, Graz, Austria.

    • Alexandra Harger
    • , Tarek Moustafa
    •  & Thomas Pieber
  6. Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany.

    • Julia Schipke
    • , Alexandros Rahn
    •  & Christian Mühlfeld
  7. Cluster of Excellence REBIRTH (From Regenerative Biology to Reconstructive Therapy), Hannover, Germany.

    • Julia Schipke
    •  & Christian Mühlfeld
  8. Department of Cell Biology and Molecular Medicine, Rutgers–New Jersey Medical School, Newark, USA.

    • Mingming Tong
    •  & Junichi Sadoshima
  9. Joanneum Research Forschungsgesellschaft m.b.H., HEALTH, Institute for Biomedicine and Health Sciences, Graz, Austria.

    • Christoph Magnes
    • , Gert Trausinger
    • , Sophie Narath
    •  & Thomas Pieber
  10. Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.

    • Andreas Meinitzer
  11. FRIAS Freiburg Institute for Advanced Studies, Department of Dermatology, Medical Center, ZBSA Center for Biological Systems Analysis, BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany.

    • Zehan Hu
    •  & Joern Dengjel
  12. Department of Biology, University of Fribourg, Fribourg, Switzerland.

    • Zehan Hu
    •  & Joern Dengjel
  13. Clinical division of Nephrology, Medical University of Graz, Graz, Austria.

    • Alexander Kirsch
    •  & Kathrin Eller
  14. Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.

    • Sabrina Büttner
  15. Equipe 11 Labellisée Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Paris, France.

    • Federico Pietrocola
    •  & Guido Kroemer
  16. Cell Biology and Metabolomics Platforms, Gustave Roussy Comprehensive Cancer Center, Villejuif, France.

    • Federico Pietrocola
    •  & Guido Kroemer
  17. INSERM, U1138, Paris, France.

    • Federico Pietrocola
    •  & Guido Kroemer
  18. Université Paris Descartes, Sorbonne Paris Cité, Paris, France.

    • Federico Pietrocola
    •  & Guido Kroemer
  19. Université Pierre et Marie Curie, Paris, France.

    • Federico Pietrocola
    •  & Guido Kroemer
  20. Department of Biology, University of Padua, Padua, Italy.

    • Emilie Schrepfer
    •  & Luca Scorrano
  21. Dulbecco-Telethon Institute, Venetian Institute of Molecular Medicine, Padua, Italy.

    • Emilie Schrepfer
    •  & Luca Scorrano
  22. Kent Fungal Group, School of Biosciences, University of Kent, Canterbury, UK.

    • Patrick Rockenfeller
  23. German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

    • Marion Horsch
    • , Kristin Moreth
    • , Johannes Beckers
    • , Helmut Fuchs
    • , Valerie Gailus-Durner
    • , Frauke Neff
    • , Dirk Janik
    • , Birgit Rathkolb
    • , Jan Rozman
    •  & Martin Hrabe de Angelis
  24. Chair of Experimental Genetics, School of Life Science Weihenstephan, Technische Universität München, Freising, Germany.

    • Johannes Beckers
    •  & Martin Hrabe de Angelis
  25. German Center for Diabetes Research (DZD), Neuherberg, Germany.

    • Johannes Beckers
    • , Birgit Rathkolb
    • , Jan Rozman
    •  & Martin Hrabe de Angelis
  26. Institute of Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

    • Frauke Neff
    •  & Dirk Janik
  27. Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig–Maximilians University München, Munich, Germany.

    • Birgit Rathkolb
  28. King's British Heart Foundation Centre, King's College London, London, UK.

    • Manuel Mayr
  29. Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.

    • Peter Willeit
    • , Raimund Pechlaner
    • , Johann Willeit
    •  & Stefan Kiechl
  30. Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

    • Peter Willeit
  31. Department of Cardiovascular Physiology, Ruhr University Bochum, Bochum, Germany.

    • Marion von Frieling-Salewsky
    •  & Wolfgang A Linke
  32. Department of Internal Medicine and Cardiology, German Heart Center Berlin, Berlin, Germany.

    • Burkert Pieske
  33. Institute for Biology, Freie Universität Berlin, Berlin, Germany.

    • Stephan J Sigrist
  34. NeuroCure, Charité, Berlin, Germany.

    • Stephan J Sigrist
  35. Pôle de Biologie, Hôpital Européen Georges Pompidou, Paris, France.

    • Guido Kroemer
  36. Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden.

    • Guido Kroemer

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Contributions

T.E., S. Sedej, G.K. and F.M. designed and supervised the study; T.E., M.A., G.K., S. Sedej and F.M. wrote the manuscript; T.E., M.A., S. Schroeder, U.P., S. Stekovic, T. Pendl, A.H., J. Schipke, A.Z., A.S., M.T., C.R., C.D., A.S.G., V.H., C. Magnes, G.T., S.N., A.M., Z.H., A.K., D.C.-G., S.B., F.P., O.K., E.S., P.R., C.S., A.R., M.H., F.N., D.J., B.R., J.R, T.M., M.M., P.W., M.v.F.-S., R.P. and S. Sedej performed experiments and analyzed and discussed data; K.E., K.M., J.B., H.F., V.G.-D., M.H.d.A., G.H., B.P., L.S., T. Pieber, J.W., S.J.S., W.A.L., C. Mühlfeld, J. Sadoshima, J.D. and S.K. discussed and analyzed data and gave conceptual advice.

Competing interests

F.M., T.E., D.C.-G., S.J.S. and S. Stekovic have equity interests in TLL, a company founded in 2016 that will develop natural food extracts.

Corresponding authors

Correspondence to Guido Kroemer or Simon Sedej or Frank Madeo.

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DOI

https://doi.org/10.1038/nm.4222

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