Abstract
Hypercholesterolemia accelerates the phenotypes of aging in hematopoietic stem cells (HSCs). As yet, little is known about the underlying mechanism. We found that hypercholesterolemia downregulates Ten eleven translocation 1 (Tet1) in HSCs. The total HSC population was increased, while the long-term (LT) population, side population and reconstitution capacity of HSCs were significantly decreased in Tet1−/− mice. Expression of the Tet1 catalytic domain in HSCs effectively restored the LT population and reconstitution capacity of HSCs isolated from Tet1−/− mice. While Tet1 deficiency upregulated the expression of p19 and p21 in HSCs by decreasing the H3K27me3 modification, the restoration of Tet1 activity reduced the expression of p19, p21 and p27 by restoring the H3K27me3 and H3K36me3 modifications on these genes. These results indicate that Tet1 plays a critical role in maintaining the quiescence and reconstitution capacity of HSCs and that hypercholesterolemia accelerates HSC aging phenotypes by decreasing Tet1 expression in HSCs.
Similar content being viewed by others
Introduction
Adult tissue-specific stem cells maintain tissue homeostasis and regenerative potential. In the bone marrow, normal hematopoiesis relies on hematopoietic stem cells (HSCs) that differentiate through a number of committed progenitors and give rise to mature blood cells1. To maintain their capacity for normal hematopoiesis and to protect the HSC compartment from exhaustion, the majority of HSCs remain quiescent and only a few of them enter the cell cycle2,3.
Aging is known to have dramatic effects on the function of HSCs. In murine models, serially transplanted HSCs from aged mice are less functional than their younger counterparts and eventually become exhausted4,5. The aging of HSCs causes an expansion of the HSC compartment, a decreased repopulation capacity, reduced lifespan and skewed myeloid differentiation potential6. The molecular mechanisms responsible for HSC aging is complicated. A number of mechanistic cues have been reported. These include oxidant stress7, metabolic stress8, telomere erosion9, deregulation of lineage specification10, loss of cell polarity11, activation of inflammatory signaling cascades12 and DNA damage accumulation13. However, these mechanisms do not explain all of the HSC functional defects induced by aging, suggesting that other regulatory pathways must participate in this process of HSC aging.
Recent studies indicate that epigenetic regulation, including DNA methylation, histone modification and chromatin structure, plays important roles in the physiology and pathology of hematopoiesis. Methylation at carbon atom 5 of cytosine (5-mC) is the predominant repressive mark of DNA epigenetic modifications. The ten-eleven translocation (Tet) family, including Tet1, Tet2 and Tet3, oxidizes 5-mC and initiates the demethylation of DNA14,15,16. Tet1 and Tet2 have been shown to regulate the self-renewal, proliferation and differentiation of HSCs14,17,18. The expression of Tet1 is significantly decreased in HSCs of aged mice, suggesting that Tet1 participates in the regulation of HSC aging phenotypes19. However, the underlying mechanisms are as yet unknown.
Obesity and its co-morbidities have been closely associated with a functional decline in the HSC compartment20,21,22,23. In our previous study, we showed that hypercholesterolemia, a major co-morbidity of obesity, caused a significant reduction in long-term HSC populations, telomere length, and reconstitution capacity of HSCs24. Several key cell cycle regulators including p19, p27 and p21 were upregulated in HSCs from hypercholesterolemic mice. Together with previous reports25,26, these findings indicate that hypercholesterolemia accelerates the phenotypes of aging in HSCs. Our recent study also showed that Tet1 was specifically decreased in HSCs isolated from hypercholesterolemic mice. With these findings, we hypothesize that the decrease in Tet1 expression alters the epigenetic regulation and accelerates the aging phenotypes of HSCs in hypercholesterolemic mice.
Results
The expression of Tet1 is downregulated in HSCs isolated from hypercholesterolemic mice
The enzymes of the Tet family, especially Tet1 and Tet2, are highly expressed in mouse HSCs27,28. In this study, we found that the expression of Tet1 was significantly lower in HSCs (KTLS cells, defined as Sca1+cKit+Lin−CD90.1−/low) isolated from hypercholesterolemic mice than in that of wild type (WT) control mice (Fig. 1a). No difference was found in the expression of Tet2 or Tet3 (Fig. 1b,c). The expression of Tet1, 2 and 3 was confirmed at the protein level by Western blot (Fig. 1d). The expression of Tet1 was significantly decreased in both long-term (LT) HSCs (defined as CD34−Flk2− KTLS cells) and short-term (ST) HSCs (Fig. 1e,f). These results are consistent with our previous observations17.
Tet1 deficiency induces loss of quiescence and reduces the long-term population of HSCs
To analyze the role of Tet1 in the HSC compartment, we generated Tet1−/− mice. The frequency of HSCs in the bone marrow of Tet1−/− mice (1.62 ± 0.34%) was significantly greater than the frequency observed in the bone marrow of WT mice (0.46 ± 0.09%) (Fig. 2a,b). However, the long-term population of HSCs in Tet1−/− mice (5.7 ± 0.9%) was significantly lower in WT mice (21.5 ± 2.4%) (Fig. 2c,d), which is in agreement with a previous study28. Similarly, the quiescent side-population of HSCs was reduced in Tet1−/− mice (Fig. 2e,f). Furthermore, FACS analysis showed that the expression of Ki67, a marker of cell proliferation, was significantly higher in both LT and ST HSC populations in Tet1−/− mice then in WT mice (Supplementary Fig. 1a,b). On the other hand, the expression of annexin V, a marker of cell apoptosis, was identical in HSC populations of Tet1−/− and WT mice (Supplementary Fig. 1c,d). PCR analysis showed that Tet1 deficiency and hypercholesterolemia did not change the expression of HSC markers, including CD34, Sca-1 and cKit (Supplementary Fig. 2). These results indicate that Tet1 deficiency induces the loss of quiescence and reduces the LT population of HSCs.
We further analyzed the effects of Tet1 deficiency onto the downstream multipotent progenitors (MPPs) of HSCs. MPP2 was identified as Lin- Sca-1+ cKit+ Flk2− CD150+ CD48+. MPP3 was identified as Lin− Sca-1+ cKit+ Flk2− CD150− CD48+. MPP4 was identified as Lin− Sca−1+ cKit+ Flk2+ CD150−. Lymphoid-primed MPP (LMPP) was identified as Lin− Sca-1+ cKit+ Flk2hi CD150− CD34+ (Supplementary Fig. 3). The MPP3 and MPP4 compartments were significantly increased in Tet1−/− mice, while the compartments of MPP2 and LMPP did not show any change (Supplementary Fig. 3a,b). Our previous studies had shown that Tet1 deficiency decreased their differentiation towards natural killer T cells and γδT cells17 and increased the differentiation towards pro-inflammatory monocytes and macrophages. These results indicate that Tet1 deficiency alters the differentiation of HSCs to multiple cell lineages.
The Tet1 expression in MPP2, MPP3 and MPP4 of ApoE−/− mice was slightly lower than in WT mice, whereas the expression of Tet1 in LMPP was unchanged (Supplementary Fig. 4a). The expression of Tet2 and Tet3 did not change in any of the MPP compartments of ApoE−/− mice (Supplementary Fig. 4b,c). These results indicate that the defects of Tet1 deficiency induced by hypercholesterolemia occur almost exclusively in the HSCs compartment rather than in downstream progenitor compartments.
Tet1 deficiency reduces the reconstitution capacity and lifespan of HSCs and thereby accelerates their phenotypes of aging
A major manifestation of HSC aging is the decline of their reconstitution capacity and lifespan29. The LT HSC population plays an essential role in the reconstitution capacity of HSCs. In order to analyze repopulating capacity in our model, we isolated LT HSCs from Tet1−/− and WT mice and measured their reconstitution capacity using a competitive transplantation assay. In agreement with their high proliferative phenotype, the LT HSCs from Tet1−/− mice displayed greater reconstitution capacity (Fig. 3a,b), which was supported by a previous study28. However, the serial competitive transplantations showed that the KTLS cells (total HSCs) from Tet1−/− mice, including LT and ST HSCs, gradually lost their reconstitution capacity after the second and third competitive transplantation (Fig. 3c–h). In our first transplantation, we found that Tet1−/− KTLS cells contributed 56% of bone marrow reconstitution, while WT KTLS cells made the contribution around 50%. This difference is not statistically significant. Aifantis and his group used whole bone marrow in their primary transplantation and found that whole bone marrow cells from Tet1−/− mice showed a higher reconstitution capacity28. The difference between our first transplantation and Aifantis’ primary transplantation might be due to the difference of transplanted cells. We used KTLS cells which were purified stem cell population and do not include CMPs, CLPs, MEPs, GMPs, MoPs and other hematopoietic progenitors, while Aifantis and his group used whole bone marrow cells28. Oxidant stress and telomere erosion have been identified as mechanistic cues in the process of HSC aging. Tet1 deficiency did not increase oxidant stress (Fig. 3i) but still induced significant telomere erosion in HSC compartment (Fig. 3j). These results indicate that Tet1 deficiency reduces the reconstitution capacity and lifespan of HSCs and thereby accelerates their phenotype of aging.
Restoration of Tet1 activity eliminates the aging phenotype in HSCs
We next asked if the restoration of Tet1 activity could rescue the LT population and reconstitution capacity of HSCs from Tet1−/− mice. HSCs from Tet1−/− mice were transfected with a lentiviral vector expressing the murine Tet1 catalytic domain. The expression was confirmed by Western blot (Fig. 4a). FACS analysis showed that the LT population in HSCs expressing the Tet1 catalytic domain was significantly larger than in control HSCs from Tet1−/− mice (Fig. 4b,c). Similarly, the quiescent side population significantly increased in HSCs expressing the Tet1 catalytic domain (Fig. 4d,e). The restoration of Tet1 activity did not change oxidant levels (Fig. 4f) but rescued the telomere length (Fig. 4g). Next, we measured the reconstitution capacity of the Tet1−/− HSCs that expressed the Tet1 catalytic domain. These cells displayed a more limited reconstitution capacity after the first transplantation than those of control HSCs from Tet1−/− mice (Fig. 4h,i). However, they reconstituted 58.2 ± 11.3% and 50.1 ± 5.4% of HSCs in the bone marrow of recipient mice after the second and third transplantations, respectively, which was significantly greater than the reconstitution capacity of HSCs from Tet1−/− mice (Fig. 4j–m).
Hypercholesterolemia accelerates HSC aging phenotypes by decreasing Tet1 expression
We also expressed the Tet1 catalytic domain in HSCs isolated from ApoE−/− mice (Fig. 5a,b). The LT population of HSCs was significantly larger than that of control HSCs from ApoE−/− mice (Fig. 5c). The oxidant stress trended lower (Fig. 5d), but the telomere length was significantly restored (Fig. 5e). Similar to the results described in Fig. 4f, HSCs expressing the Tet1 catalytic domain displayed a limited reconstitution capacity after the first transplantation (Fig. 5f). However, these cells reconstituted 62.7% of HSCs in the recipient bone marrow after the second transplantation and 48.3% of HSCs after the third transplantation, which was significantly greater than the reconstitution capacity of the control HSCs from ApoE−/− mice (Fig. 5g,h). To address the question why HSCs expressing the Tet1 catalytic domain manifest a limited reconstitution capacity after the first transplantation, we measured the proliferating and apoptotic populations in HSCs expressing the Tet1 catalytic domain. The expression of the Tet1 catalytic domain significantly reduced the proliferative Ki67+ populations in Tet1−/− and ApoE−/− HSCs before transplantation (Supplementary Figs. 5a and 6a). No significant difference was found in the Annexin V+ populations in the HSCs expressing the Tet1 catalytic domain (Supplementary Figs. 5b and 6b). These results indicate that the restoration of Tet1 activity rescues the reduced quiescence and LT populations of HSCs, and accordingly improves the reconstitution capacity of HSCs from ApoE−/− mice after the second and third competitive transplantations.
Tet1 deficiency upregulates p19 and p21 expression by decreasing H3K27me3 modifications in HSCs
In our previous study, we have shown that cell cycle regulators, including p19, p21 and p27, were upregulated and ultimately responsible for the decreased LT population and reconstitution capacity of HSCs from hypercholesterolemic mice24. Given this result, we screened the expression of the INK and KIP families in HSCs isolated from Tet1−/− mice. Tet1−/− HSCs showed significantly greater expression of p19 and p21 (Fig. 6a,b), but the expression of p15, p16 and p27 HSCs was the same as in WT mice (Fig. 6c,d,e). In addition, the expression of the Tet1 catalytic domain significantly reduced the expression of p19, p21 and p27 in HSCs isolated from Tet1−/− mice (Fig. 6a–c).
Tet-dependent DNA demethylation typically increases the transcription of target genes14,18. Furthermore, one study has shown that Tet1 preferentially binds to CpG-rich sequences, facilitating the recruitment of PCR2 to CpG-rich promoters, and contributing to H3K27me3-mediated changes in gene repression30. In addition, Tet2 has been shown to promote H3K36me3-mediated gene activation31,32. To examine the molecular mechanisms underlying the effects of Tet1 deficiency on the expression of p19 and p21, we next sought to characterize the changes in histone modification and DNA methylation in the regulatory regions of our genes of interest. While pyrosequencing analysis did not show any significant difference in the methylation status of p19 and p21 promoters (Supplementary Fig. 7, 8), ChIP-PCR revealed that Tet1 deficiency significantly decreased the H3K27me3 modification in p19 and p21 (Fig. 7a) but did not affect the H3K36me3 modification in these two genes (Fig. 7b). The expression of the Tet1 catalytic domain significantly increased the H3K27me3 modification in p19, p21 and p27 (Fig. 7a), as well as the H3K36me3 modification in p19 (Fig. 7b). These results indicate that TET1 regulates the expression of the CIP/KIP and INK families by fine-tuning the bivalent H3K27me3 and H3K36me3 modifications on the chromatin of these genes.
Discussion
Hypercholesterolemia, identified as a common risk factor of cardiovascular diseases and a co-morbidity of obesity, has been shown to increase the risk of all-cause mortality and morbidity33,34,35. Substantial investigations have linked hypercholesterolemia to a variety of deleterious alterations, including accelerated aging36,37, atherosclerosis and thrombosis38 and cancers39. It remains a critical challenge to understand the pathological mechanisms by which hypercholesterolemia imposes deleterious effects on such a wide range of tissues and organs. Here, we show that hypercholesterolemia decreased the expression of Tet1 in HSCs and subsequently upregulated the expression p19 and p21 by reducing repressive H3K27me3. These changes caused loss of quiescence, telomere erosion, shortened life span and impaired reconstitution capacity of HSCs, leading to accelerated HSC aging phenotypes.
In humans, age-related hematopoietic changes include decreased bone marrow cellularity40, elevated incidence of thrombosis, increased myeloproliferative diseases41, late onset anemia42 and reduced regenerative potency and adaptive immunity43,44. Aging of the HSC compartment is thought to contribute to the occurrence of these clinical conditions45. Therefore, the elucidation of the mechanisms that cause aging of HSC could conceivably lead to strategies to prevent or even reverse the decline in immune function with age. Furthermore, manipulation of these mechanisms might allow the ex vivo expansion of HSCs without exhaustion. Our study showed that the deficiency of Tet1 resulted in a significant expansion of HSCs in mouse bone marrow. We also found that HSCs isolated from Tet1−/− mice displayed a loss of quiescence and a reduction in life span due to a dramatic decrease in LT populations and quiescent side populations. The findings were supported by previous investigations made in Tet2−/−18 and Tet1−/− mice28, and have been well established as hallmarks for HSC aging in murine models11. These results indicate that Tet1 is a critical regulator of the quiescence and the LT population of HSCs. We thus conclude that Tet1 deficiency causes a functional decline consistent with aging of the HSC compartment in the mouse.
A long-term goal in the studies of HSC aging is to develop strategies to repair or restore the functions that are impaired by aging processes. When we restored the activity of Tet1 by expressing the Tet1 catalytic domain in HSCs isolated from hypercholesterolemic or Tet1−/− mice, the life span and reconstitution capacity of HSCs from Tet1−/− mice significantly increased. The cells expressing the Tet1 catalytic domain had an improved long-term reconstitution capacity after the second and third transplantation. In HSCs isolated from hypercholesterolemic ApoE−/− mice, the expression of the Tet1 catalytic domain also rescued their reconstitution capacity. Consistent with this increased reconstitution capacity, HSCs which expressed the Tet1 catalytic domain possessed significantly increased LT populations and quiescent side populations. These findings indicate that restoring Tet1 activity is a practical approach to recover the aging related exhaustion of the LT population and the decline in the reconstitution capacity of the HSC compartment in hypercholesterolemic mice.
The CIP/KIP and INK4 cell cycle inhibitor families participate in the maintenance of HSC quiescence, thereby governing the available size of the HSC compartment46,47,48. The increased expression of these cell cycle inhibitors has been observed in aged HSCs29,49. In the current study, the expression of p19 and p21 was upregulated in HSCs isolated from Tet1−/− mice. This is consistent with our previous study, which showed paradoxically upregulated expression of p19 and p21 in HSCs from hypercholesterolemic mice24. Indeed, the inhibition of CIP/KIP or INK4 families rescued the quiescent LT population and the reconstitution capacity of aged HSCs24,29. The restoration of Tet1 activity synergistically decreased the expression of p19, p21 and p27 in HSCs from Tet1−/− and ApoE−/− mice, which led to the dramatic increase of the long-term and quiescent HSC populations. Another unexpected finding in our study is that the expression of the Tet1 catalytic domain limited the short-term reconstitution capacity of HSCs after the first HSC transplantation. This limitation of short-term reconstitution capacity of HSCs might be due to the inhibition of p19, p21 and p27, as well as to the dramatic increase in the quiescent long-term HSC population that possesses a very low proliferative activity.
Taken together, our results indicate that hypercholesterolemia downregulates the expression of Tet1 in HSCs which, in turn, increases the expression of p19 and p21. These molecular changes result in the exhaustion of long-term and side populations in the HSC compartment, leading to an acceleration of the HSC aging phenotype while the restoration of Tet1 activity reverses these deleterious effects. These findings provide a possibility to rescue the aging-related decline in HSCs. In addition, these findings might be helpful to understand the deleterious effects of hypercholesterolemia in a wide range of pathological processes.
Experimental Procedures
Mice
ApoE−/−, Tet1+/−, CD45.2 and CD45.1 WT mice were purchased from Jackson Laboratories (Bar Harbor, ME) and were maintained in a mouse barrier facility. Tet1−/− mice were generated by inbreeding Tet1+/− mice and their genotyping was confirmed by PCR. Care of mice was in accordance with NIH guidelines, and the Institutional Animal Care and Use Committee of the University of Massachusetts Medical School approved all protocols. Mice were kept on a 12 hr light/dark schedule and were allowed free access to chow and water. ApoE−/−, Tet1+/−, Tet1−/− and WT mice were fed standard mouse chow (5.4 g fat/100 g diet, 0.01% cholesterol). Two different hypercholesterolemic mouse models were applied in this study. One was ApoE−/− mouse fed standard mouse chow. Another was the diet induced hypercholesterolemic mice (HCD mice) which were WT mice fed a hypercholesterolemic diet with 10 g fat/100 g diet, 11.25 g cholesterol/100 g diet (Research Diets, New Brunswick, NJ). These two mouse models have been extensively used as standard hypercholesterolemic models in different labs.
Flow cytometry and HSC isolation
Cells were stained with monoclonal antibodies conjugated to various fluoroprobes. These antibodies included: cKit (2B8), Sca-1 (E13–161.7), CD150, CD48, CD90.1, CD34, Flk2, CD45.1, CD45.2 and the lineage cocktail consisted of CD4, CD8, B220 (RA3-6B2), TER-119, Mac-1 (MI/70). All antibodies were purchased from BD Bioscience (San Diego, CA). FACS analysis was carried out on a FACSAria or MoFlow. HSCs were isolated from the bone marrow and defined as cKit+ sca-1+ CD90.1lo/−Lin−. Long-term HSCs (LT-HSCs), phenotypically defined as CD34− Flk2−KTLS cells. Short-term HSCs, phenotypically defined as CD34+Flk2−KTLS cells24.
In vitro culture of HSCs
KTLS cells were cultured in Minimum Essential Media, alpha modification (αMEM Sigma) containing 12.5% FCS (JRH Bioscience), 12.5% horse serum (Gibco BRL) and 1 nM dexamethasone24.
Lentiviral particle preparation and transduction
The Tet1 specific and control shRNA plasmids were purchased from Santa Cruz (CA, USA). The plasmid with Tet1 catalytic domain (pTYF-U6-shCONT-EF1-Puro-2A-CD1) was a gift from Dr. Yi Zhang (Boston Children’s Hospital, Boston, MA). The envelope and helper plasmids were purchased from ABM (Toronto, Canada). The lentiviral particles were prepared according to the kit instructions. Freshly isolated KTSL cells were transduced with lentivirus for 24 hours and then selected with puromycin (2 μg/ml) (Santa Cruz Biotechnology, CA, USA) for 72 hours17.
Competitive bone marrow reconstitution assay
We sorted KTLS cells or LT-HSC from three-month old CD45.2 WT, CD45.1 WT or Tet1−/− mice (CD45.2). The recipient mice were three-month old CD45.1 congenic mice. Each recipient mouse was lethally irradiated and transplanted with 3000 KTLS cells or LT-HSC cells by retro-orbital injection. Among the transplanted KTLS or LT-HSCs, 1500 cells were support cells isolated from CD45.1 WT. The other 1500 cells were isolated from CD45.2 WT or Tet1−/− mice (CD45.2)24. The reconstitution of HSC compartment in recipient mice was analyzed 3 months after transplantation. Six recipient and six donor mice were included in this analysis.
RT–PCR
RNA was isolated from cells using RNAqueous-Micro kit (Ambion Life Technologies). Transcription to cDNA was performed using SuperScript III (Invitrogen). The primers were purchased from IDT. All PCRs were carried out in triplicate using an Eppendorf Mastercycler (Eppendorf). All genes are normalized to 18 s rRNA. Primer sequences are shown in Supplementary Table 1.
Analysis of oxidant stress
We loaded samples of cultures with DCF‐DA (Sigma) and incubated them on a shaker at 37 °C for 30 min. The peak excitation wavelength for oxidized DCF was 488 nm, and emission was 525 nm24. The DCF positive cells were analyzed with FACS.
Telomere length measurement
Telomere length was measured by telomere PNA kit/FITC (DAKO)24. In brief, the sample DNA was denatured for 10 minutes at 82 °C in a microcentrifuge tube either in the presence of hybridization solution without probe or in hybridization solution containing fluorescein‐conjugated PNA telomere probe. Then hybridization took place in the dark at room temperature (RT) overnight. The hybridization was followed by two 10‐minute post‐hybridization washes with a Wash Solution at 40 °C. The sample was then resuspended in an appropriate buffer for further flow cytometric analysis. DNA Staining Solution included in the kit was used for identification of G0/G1 cells. After flow cytometric analysis, the data obtained were used for determination of a relative telomere length (RTL). The RTL value was calculated as the ratio between the telomere signal of each sample and the control cells with correction for the DNA index of G0/G1 cells.
Chromatin Immunoprecipitation (ChIP)
ChIP was performed as described previously50. Approximately 1 × 106 HSCs were incubated for 10 min at room temperature with 1% formaldehyde. After cross-linking, the reaction was quenched with 0.25 M glycine for 10 min at room temperature. Proteins were initially cross-linked to DNA and nuclei were then pelleted and sonicated to 200–500 bp fragments (Bioruptor, Diagenode). The cross-linked DNA was immunoprecipitated with H3K27me3 antibody (Millipore, USA) overnight at 4 °C with rotation. DNA-Antibody complexes were bound to ChIP beads, pulled down, washed and then eluted from beads. Following reversal of cross-linkage, purified DNA was used for Quantitative PCR using ChIP PCR primers that were purchased from IDT (MA, USA). Immunoprecipitation efficiency was calculated by normalizing sample CT values against control IgG values and calculating ratios of sample CT values relative to input values.
DNA extraction, bisulfite conversion and pyrosequencing
Pyrosequencing was performed as described previously50. Genomic DNA was extracted from HSCs using standard phenol/chloroform extraction followed by isopropanol precipitation and ethanol wash and quantified using a NanoDrop Spectrophotometer. 500 ng of DNA was used in the bisulfite conversion reactions where unmethylated cytosines were converted to uracil with the EZ DNA Methylation GoldTM kit (Zymo Research) according to the manufacturer’s instructions. Briefly, DNA was mixed with CT conversion reagents and the conversion was run in a thermocycler (Biometra, Goettingen, Germany) at the recommended cycle conditions. Converted DNA was purified on a spin column and eluted into a total of 10 μl Buffer EB. PCR and pyrosequencing primer sets with one biotin-labelled primer were used to amplify the bisulfite converted DNA. New primers for each gene were designed using PyroMark Assay Design software version 2.0.1.15 (Qiagen). The size of the amplicons was around 100–200 bp.
PCRs were performed using a converted DNA by 2xHiFi Hotstart Uracil+Ready Mix PCR kit (Kapa Biosystems). Briefly, 5 μl master mix, 5 pmol of each primer, 20 ng genomic DNA and ultra-pure water to a final volume of 10 µl were mixed for each reaction and run at thermal cycling conditions: 95 °C for 3 min and then 50 cycles: 20 sec at 98 °C; 15 sec at the optimized primer-specific annealing temperature; 15 sec at 72 °C and a final extension for 1 min at 72 °C. The amplified DNA was confirmed by electrophoresis in a 2% agarose gel. 2 μl streptavidin beads (GE Healthcare, Buckinghamshire, UK), 40 μl PyroMark binding buffer, 10 μl PCR product and 28 μl water were mixed and incubated for 10 min on a shaking table at 1300 rpm. Using the Biotage Q96 Vaccum Workstation, amplicons were separated, denatured, washed and added to 25 μl annealing buffer containing 0.33 μM of pyrosequencing primer. Primer annealing was performed by incubating the samples at 80 °C for 2 min and allowing them to cool to room temperature prior to pyrosequencing. PyroGold reagents were used for the pyrosequencing reaction and the signal was analyzed using the PSQ 96MA system (Biotage, Uppsala, Sweden). Target CGs were evaluated by instrument software (PSQ96MA 2.1) which converts the pyrograms to numerical values for peak heights and calculates percentage of methylation at each base as a C/T ratio. Supplementary Fig. 8 is the schematic of the p19 and p21 genes showing the sequence and location of the primers and the CpG islands tested by pyrosequencing.
Statistical analysis
All data were shown as means ± sd. Statistical analyses were carried out with either GraphPad Prism (GraphPad Software). Statistical significance was evaluated by using a one- or two-way analysis of variance (ANOVA) or an unpaired t-test. Significance was established for P values <0.05. Adjustment for multiplicity of comparisons was not utilized.
References
Crane, G. M., Jeffery, E. & Morrison, S. J. Adult haematopoietic stem cell niches. Nat. Rev. Immunol. 17, 573–590 (2017).
Hirche, C. et al. Systemic Virus Infections Differentially Modulate Cell Cycle State and Functionality of Long-Term Hematopoietic Stem Cells In Vivo. Cell Rep. 19, 2345–2356 (2017).
Takizawa, H., Regoes, R. R., Boddupalli, C. S., Bonhoeffer, S. & Manz, M. G. Dynamic variation in cycling of hematopoietic stem cells in steady state and inflammation. J. Exp. Med. 208, 273–284 (2011).
Kamminga, L. M. et al. Impaired hematopoietic stem cell functioning after serial transplantation and during normal aging. Stem Cell 23, 82–92 (2005).
Kamminga, L. M. et al. The Polycomb group gene Ezh2 prevents hematopoietic stem cell exhaustion. Blood 107, 2170–2179 (2006).
Dykstra, B. & de Haan, G. Hematopoietic stem cell aging and self-renewal. Cell Tissue Res. 331, 91–101 (2008).
Zhang, Y. et al. CXCR4/CXCL12 axis counteracts hematopoietic stem cell exhaustion through selective protection against oxidative stress. Sci. Rep. 6, 37827 (2016).
Chandel, N. S., Jasper, H., Ho, T. T. & Passegue, E. Metabolic regulation of stem cell function in tissue homeostasis and organismal ageing. Nat. Cell Biol. 18, 823–832 (2016).
Raval, A. et al. Reversibility of Defective Hematopoiesis Caused by Telomere Shortening in Telomerase Knockout Mice. PLoS One 10, e0131722 (2015).
Rimmele, P. et al. Aging-like phenotype and defective lineage specification in SIRT1-deleted hematopoietic stem and progenitor cells. Stem Cell Rep. 3, 44–59 (2014).
Florian, M. C. et al. Cdc42 activity regulates hematopoietic stem cell aging and rejuvenation. Cell Stem Cell 10, 520–530 (2012).
Chambers, S. M. et al. Aging hematopoietic stem cells decline in function and exhibit epigenetic dysregulation. PLoS Biol. 5, e201 (2007).
Wang, J. et al. A differentiation checkpoint limits hematopoietic stem cell self-renewal in response to DNA damage. Cell 148, 1001–1014 (2012).
Ito, S. et al. Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification. Nat. 466, 1129–1133 (2010).
Ito, S. et al. Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine. Sci. 333, 1300–1303 (2011).
Ko, M. et al. Impaired hydroxylation of 5-methylcytosine in myeloid cancers with mutant TET2. Nat. 468, 839–843 (2010).
Tie, G. et al. Hypercholesterolemia Increases Colorectal Cancer Incidence by Reducing Production of NKT and gammadelta T Cells from Hematopoietic Stem Cells. Cancer Res. 77, 2351–2362 (2017).
Ko, M. et al. Ten-Eleven-Translocation 2 (TET2) negatively regulates homeostasis and differentiation of hematopoietic stem cells in mice. Proc. Natl Acad. Sci. USA 108, 14566–14571 (2011).
Sun, D. et al. Epigenomic profiling of young and aged HSCs reveals concerted changes during aging that reinforce self-renewal. Cell Stem Cell 14, 673–688 (2014).
Emmons, R., Niemiro, G. M. & De Lisio, M. Hematopoiesis with Obesity and Exercise: Role of the Bone Marrow Niche. Exerc. Immunol. Rev. 23, 82–95 (2017).
Singer, K. et al. Diet-induced obesity promotes myelopoiesis in hematopoietic stem cells. Mol. Metab. 3, 664–675 (2014).
da Silva, S. V., Renovato-Martins, M., Ribeiro-Pereira, C., Citelli, M. & Barja-Fidalgo, C. Obesity modifies bone marrow microenvironment and directs bone marrow mesenchymal cells to adipogenesis. Obes. 24, 2522–2532 (2016).
Ogden, C. L., Carroll, M. D., Kit, B. K. & Flegal, K. M. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 311, 806–814 (2014).
Tie, G., Messina, K. E., Yan, J., Messina, J. A. & Messina, L. M. Hypercholesterolemia induces oxidant stress that accelerates the ageing of hematopoietic stem cells. J. Am. Heart Assoc. 3, e000241 (2014).
Saliques, S. et al. Telomere length and cardiovascular disease. Arch. Cardiovasc. Dis. 103, 454–459 (2010).
Poch, E. et al. Short telomeres protect from diet-induced atherosclerosis in apolipoprotein E-null mice. FASEB J. 18, 418–420 (2004).
An, J. et al. Acute loss of TET function results in aggressive myeloid cancer in mice. Nat. Commun. 6, 10071 (2015).
Cimmino, L. et al. TET1 is a tumor suppressor of hematopoietic malignancy. Nat. Immunol. 16, 653–662 (2015).
Ito, K. et al. Reactive oxygen species act through p38 MAPK to limit the lifespan of hematopoietic stem cells. Nat. Med. 12, 446–451 (2006).
Wu, H. et al. Dual functions of Tet1 in transcriptional regulation in mouse embryonic stem cells. Nat. 473, 389–393 (2011).
Zhang, Q. et al. Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6. Nat. 525, 389–393 (2015).
Fuster, J. J. et al. Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice. Sci. 355, 842–847 (2017).
Notarnicola, M. et al. Serum lipid profile in colorectal cancer patients with and without synchronous distant metastases. Oncol. 68, 371–374 (2005).
Koene, R. J., Prizment, A. E., Blaes, A. & Konety, S. H. Shared Risk Factors in Cardiovascular Disease and Cancer. Circulation 133, 1104–1114 (2016).
Hennekens, C. H. & Andreotti, F. Leading avoidable cause of premature deaths worldwide: case for obesity. Am. J. Med. 126, 97–98 (2013).
Houtkooper, R. H. et al. The metabolic footprint of aging in mice. Sci. Rep. 1, 134 (2011).
Palikaras, K. et al. Ectopic fat deposition contributes to age-associated pathology in Caenorhabditis elegans. J. Lipid Res. 58, 72–80 (2017).
Wang, N. & Tall, A. R. Cholesterol in platelet biogenesis and activation. Blood 127, 1949–1953 (2016).
Murai, T. Cholesterol lowering: role in cancer prevention and treatment. Biol. Chem. 396, 1–11 (2015).
Ogawa, T., Kitagawa, M. & Hirokawa, K. Age-related changes of human bone marrow: a histometric estimation of proliferative cells, apoptotic cells, T cells, B cells and macrophages. Mech. Ageing Dev. 117, 57–68 (2000).
Lichtman, M. A. & Rowe, J. M. The relationship of patient age to the pathobiology of the clonal myeloid diseases. Semin. Oncol. 31, 185–197 (2004).
Guralnik, J. M., Eisenstaedt, R. S., Ferrucci, L., Klein, H. G. & Woodman, R. C. Prevalence of anemia in persons 65 years and older in the United States: evidence for a high rate of unexplained anemia. Blood 104, 2263–2268 (2004).
Linton, P. J. & Dorshkind, K. Age-related changes in lymphocyte development and function. Nat. Immunol. 5, 133–139 (2004).
Beerman, I., Maloney, W. J., Weissmann, I. L. & Rossi, D. J. Stem cells and the aging hematopoietic system. Curr. Opin. Immunol. 22, 500–506 (2010).
Beerman, I. et al. Proliferation-dependent alterations of the DNA methylation landscape underlie hematopoietic stem cell aging. Cell Stem Cell 12, 413–425 (2013).
Cheng, T. et al. Hematopoietic stem cell quiescence maintained by p21cip1/waf1. Sci. 287, 1804–1808 (2000).
Walkley, C. R., Fero, M. L., Chien, W. M., Purton, L. E. & McArthur, G. A. Negative cell-cycle regulators cooperatively control self-renewal and differentiation of haematopoietic stem cells. Nat. Cell Biol. 7, 172–178 (2005).
Cheng, T., Rodrigues, N., Dombkowski, D., Stier, S. & Scadden, D. T. Stem cell repopulation efficiency but not pool size is governed by p27(kip1). Nat. Med. 6, 1235–1240 (2000).
Ito, K. et al. Regulation of oxidative stress by ATM is required for self-renewal of haematopoietic stem cells. Nat. 431, 997–1002 (2004).
Yan, J. et al. Diabetes impairs wound healing by Dnmt1-dependent dysregulation of hematopoietic stem cells differentiation towards macrophages. Nat. Commun. 9, 33 (2018).
Acknowledgements
We thank Dr. Oliver Rando (University of Massachusetts Medical School) for his great support with pyrosequencing technologies. We thank Dr. Yi Zhang (Mass General Hospital, Boston, MA) for providing pTYF-U6-shCONT-EF1-Puro-2A-CD1.
Author information
Authors and Affiliations
Contributions
Conception and design: G.T., J.Y. and L.M. Development of methodology: G.T., J.Y., L.K. and L.M. Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): G.T., J.Y. and L.K. Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): G.T., J.Y. and L.K. Writing, review, and/or revision of the manuscript: G.T., J.Y., L.K. and L.M. Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): G.T., J.Y., L.K., A.T. and L.M. Study supervision: L.M.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Tie, G., Yan, J., Khair, L. et al. Hypercholesterolemia Accelerates the Aging Phenotypes of Hematopoietic Stem Cells by a Tet1-Dependent Pathway. Sci Rep 10, 3567 (2020). https://doi.org/10.1038/s41598-020-60403-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-020-60403-w
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.