DNA damage contributes to brain aging and neurodegenerative diseases. However, the factors stimulating DNA repair to stave off functional decline remain obscure. We show that HDAC1 modulates OGG1-initated 8-oxoguanine (8-oxoG) repair in the brain. HDAC1-deficient mice display age-associated DNA damage accumulation and cognitive impairment. HDAC1 stimulates OGG1, a DNA glycosylase known to remove 8-oxoG lesions that are associated with transcriptional repression. HDAC1 deficiency causes impaired OGG1 activity, 8-oxoG accumulation at the promoters of genes critical for brain function, and transcriptional repression. Moreover, we observe elevated 8-oxoG along with reduced HDAC1 activity and downregulation of a similar gene set in the 5XFAD mouse model of Alzheimer’s disease. Notably, pharmacological activation of HDAC1 alleviates the deleterious effects of 8-oxoG in aged wild-type and 5XFAD mice. Our work uncovers important roles for HDAC1 in 8-oxoG repair and highlights the therapeutic potential of HDAC1 activation to counter functional decline in brain aging and neurodegeneration.
Progressive deterioration of cellular and physiological functions is inevitable symptoms of aging, increasing vulnerability to diseases, and mortality1. Genomic instability due to accumulation of DNA damage is a hallmark of aging2, and has been linked to DNA mutations, altered gene expression, and cognitive impairment in the human brain3,4. Consistently, mutations in DNA repair genes and impaired DNA repair pathways are associated with premature aging and neurological symptoms in humans and rodents5,6,7, while upregulation of DNA repair pathways is found in long-lived rodents and reducing DNA damage in model systems improves outcomes8,9,10. A better understanding of the mechanisms regulating DNA damage and repair in the brain holds potential for identifying interventions to combat aging and disease.
Impaired DNA damage repair pathways are associated with numerous neurodegenerative conditions7. In Alzheimer’s disease (AD), post-mortem patient brains exhibit elevated DNA double-strand breaks (DSBs) and reduced expression of DSB repair factors11,12, and AD brain extracts show reduced DSB repair capacity in vitro13, reflecting impaired non-homologous end joining (NHEJ). In mouse models such as CK-p25 and Tau P301S, elevated DNA damage is observed at pre-symptomatic stages before the appearance of neurological symptoms or neurodegeneration14,15. Haploinsufficiency for DNA polymerase β, an enzyme involved in base excision DNA repair, exacerbates pathologies in 3xTg mice16. Thus, elevated DNA damage likely predisposes for neurodegenerative disease, and enhancing DNA repair may forestall functional decline in brain aging and neurodegeneration9,10.
Histone deacetylases (HDACs) are enzymes that remove acetyl groups from lysine residues of histones and non-histone proteins. HDACs modulate many cellular processes, including transcription, chromatin remodeling, and DNA repair17. We have previously uncovered functions for HDAC1, a class I HDAC, in maintaining genomic integrity in cultured neurons and the mouse brain14,15,18. DSB triggers HDAC1 recruitment to break sites to deacetylate H3 at lysine 56 (H3K56) and histone H4 at lysine 16 (H4K16), which promotes DSB repair through NHEJ19, the major DSB repair pathway in neurons7. However, it remains unclear whether HDAC1 plays a role in other DNA repair pathways, and whether HDAC1 is required for proper gene expression and normal brain functions during aging.
Here, we examine the effects of conditional Hdac1 deletion (Hdac1 cKO) in neurons and astrocytes on brain function. Despite the lack of gross brain abnormalities, Hdac1 cKO mice exhibited age-dependent cognitive decline. Although HDAC1 is a well-known transcriptional repressor17, a majority of differentially expressed genes (DEGs) in aged Hdac1 cKO mice were downregulated. Intriguingly, the promoters of many downregulated genes contain a guanine-rich sequence known to be susceptible to oxidative DNA damage, which became enriched with 8-oxoguanine (8-oxoG) DNA lesions in aged brains. We show that HDAC1 interacts with and deacetylates 8-oxoGDNA glycosylase 1 (OGG1), a DNA glycosylase responsible for 8-oxoG lesion removal20, enhancing its cleavage activity. Hdac1 ablation resulted in reduced OGG1 activity, coinciding with elevated 8-oxoG lesions at the promoters of susceptible genes and their transcriptional repression. We observe increased 8-oxoG lesions in 5XFAD mice, an AD model21, and a significant overlap with genes downregulated in aged Hdac1 cKO mice. We demonstrate that HDAC1 activity is impaired in 5XFAD mice, and that HDAC1 deficiency in 5XFAD mice exacerbates 8-oxoG lesions. Furthermore, pharmacological activation of HDAC1 stimulated OGG1 activity, reduces 8-oxoG lesions in aged wild-type and 5XFAD mice, and alleviates 5XFAD cognitive deficits. Our findings uncover a role for HDAC1 in modulating DNA repair of 8-oxoG lesions and highlight the therapeutic potential of pharmacological HDAC1 activation in brain aging and neurodegeneration.
Aged Hdac1 cKO mice display astrogliosis and DNA damage
To understand HDAC1 functions in the brain, and to circumvent embryonic lethality associated with germline deletion of Hdac122, we generated Hdac1 brain-specific cKO mice by crossing Hdac1f/f mice23 to those expressing Nestin-Cre24, resulting in Hdac1 deletion in neurons and astrocytes. Indeed, we observed loss of HDAC1 in hippocampal lysates of 3-month-old Hdac1 cKO animals (Supplementary Fig. 1a). Immunohistochemistry confirmed HDAC1 absent in neurons and astrocytes, but detectable in microglia (Supplementary Fig. 1b).
Young (3-month-old) cKO animals displayed no gross abnormalities in brain organization. Immunohistochemistry showed no significant changes in cellular abundance or distribution of neurons, astrocytes, and microglia between young Hdac1 cKO mice and age-matched Hdac1f/f controls (Supplementary Fig. 1c, d). We next examined aged (13-month-old) animals, and found that whereas the number of neurons and microglia were similar in the aged hippocampus (Supplementary Fig. 1c, d), there was a significant increase in astrocyte number and glial fibrillary acidic protein (GFAP) immunoreactivity (Fig. 1a, b), indicative of astrogliosis. HDAC1 deficiency did not alter the number of apoptotic cells in the mouse brain (Supplementary Fig. 1e, f). Astrocytes displayed age-dependent increase in size in aged versus young controls (Fig. 1a, b), as quantified by 3D volume rendering of GFAP signals, consistent with their reported morphological changes and hypertrophic processes as the brain ages25. Notably, astrocytic hypertrophy and process ramification were enhanced in aged Hdac1 cKO mice (Fig. 1a, b). No difference was observed in GFAP intensity, astrocyte number, or size in young Hdac1 cKO versus control mice (Fig. 1a, b). Thus, HDAC1 deficiency results in astrogliosis, increased GFAP immunoreactivity, and astrocytic hypertrophy.
We previously reported that cultured neurons lacking HDAC1 exhibit increased DNA damage14,15. To assess the effect of HDAC1 deficiency on DNA damage in vivo, we performed the comet assay on hippocampal homogenates of Hdac1 cKO and control mice. Single-cell suspensions are embedded in agarose before subjecting to electrophoresis. As damaged DNA migrates faster, nuclei with DNA damage exhibit a comet-like morphology, with longer length or higher intensity of the DNA in the comet “tail” indicating increased DNA damage and quantified as “tail moment” (tail length × tail DNA%)26. Electrophoresis, when performed in an alkaline buffer, enables detection of multiple classes of DNA damage26. We observed no difference in tail moment when comparing young Hdac1 cKO mice to controls; however, tail moment was increased in aged versus young controls (Fig. 1c, d), indicating increased DNA damage in the aged brain. Importantly, HDAC1 loss significantly elevated tail moment compared to controls in aged mice (Fig. 1c, d). These findings support important roles for HDAC1 in maintaining genomic integrity during brain aging.
Hdac1 cKO mice exhibit age-dependent cognitive decline
We next assessed whether HDAC1 deficiency impacts cognitive function. We first conducted contextual fear conditioning to evaluate hippocampal-dependent spatial memory27. Contextual memory, as measured by freezing behavior, was unaltered in young Hdac1 cKO mice (Fig. 1e). Notably, aged Hdac1 cKO mice exhibited a 22.2% reduction in freezing behavior compared to controls. Locomotor activity, which can affect freezing behavior27, was unaltered in aged Hdac1 cKO mice (Supplementary Fig. 1g). We also subjected Hdac1 cKO mice to the Morris water maze task that assesses hippocampal-dependent spatial learning28. HDAC1 deficiency did not alter cognitive performance in young animals, while aged cKO mice showed increased escape latency compared to controls (Fig. 1f, g). Moreover, these mice exhibited impaired memory recall, as demonstrated by a 50.3% reduction in time spent in the target quadrant compared to controls during the probe trial (Fig. 1g). Cognitive deficits observed in aged Hdac1 cKO mice were not due to a change in swimming velocity nor impaired vision (Supplementary Fig. 1h, i). We next tested whether HDAC1 deficiency could impair long-term potentiation (LTP), potentially underlying their memory dysfunction in aging29. While hippocampal LTP induction was not altered at 2 months of age, we could already detect impairments in 6-month-old Hdac1 cKO mice (Fig. 1h, i). Thus, Hdac1 cKO mice exhibit age-dependent deficits in memory function and LTP induction, concomitant with increased DNA damage.
HDAC1 controls a unique gene expression program in aging
HDACs are known to repress gene expression by collaborating with transcriptional co-repressors at gene promoters30. We performed differential gene expression analysis via RNA-sequencing (RNA-seq) to determine whether altered gene expression in Hdac1 cKO mice contributes to the aforementioned phenotypes. RNA-seq analysis of hippocampal tissues from young mice revealed 115 DEGs (52 upregulated genes, 63 downregulated genes, Hdac1 cKO versus controls; Supplementary Fig. 2a). To understand how HDAC1 regulates these genes, we performed HDAC1 chromatin immunoprecipitation (ChIP) followed by sequencing (ChIP-seq) using hippocampal tissues from young wild-type animals. We identified 7014 HDAC1 binding sites enriched at promoters and 5′-untranslated regions (Supplementary Fig. 2b, c). Intersecting RNA-seq and ChIP-seq datasets showed that only 24.3% of DEGs (7 upregulated and 21 downregulated genes) have HDAC1 binding at their promoters (Supplementary Fig. 2a). The expression of the majority of genes with HDAC1 binding in wild-type mice was not altered in young Hdac1 cKO animals, indicating that HDAC1 may not directly regulate their expression under normal circumstances.
We next performed RNA-seq on hippocampal tissues from aged Hdac1 cKO mice and controls and observed widespread gene expression differences in aged animals, with 479 DEGs identified between aged Hdac1 cKO mice and controls, several of which were validated by quantitative PCR (qPCR) analysis (Supplementary Fig. 2d, e). Surprisingly, despite the established roles for HDACs as transcriptional repressors17, most DEGs (397 genes, 82.8%) were downregulated in aged Hdac1 cKO mice (Supplementary Fig. 2d), and of these most (77.8%) had no detectable HDAC1 binding at their promoters (Supplementary Fig. 2d). These findings indicate that loss of HDAC1 alters gene expression in an age-dependent manner, likely via non-canonical mechanisms independent of direct promoter binding.
We used gene ontology (GO) analysis31,32 to examine cellular pathways and processes affected by HDAC1 deficiency in the aged brain and identified upregulated genes associated with generalized cellular functions. In contrast, downregulated genes were more specific to brain function and aging, having GO terms related to ion transport, response to external stimulus, proteolysis, and aging (Fig. 2a). For instance, ion transport includes members of solute carrier transporter family important for neuronal membrane polarization and synaptic transmission33, and Klotho plus several isoforms of protein kinase C (PKC) were also downregulated in aged Hdac1 cKO mice (Fig. 2b). Klotho is a known anti-aging gene whose overexpression extends lifespan in mice34, and whose loss results in shortened lifespan, premature aging, and cognitive deficits35,36. The PKC pathway is important for learning and memory37, and reduced levels of multiple PKC isoforms have been observed in the aged human cortex4. Downregulated genes in aged Hdac1 cKO mice were also enriched for protein chaperones and factors involved in antioxidant responses (Fig. 2b), two pathways that have been implicated in brain aging and neurodegenerative disorders38,39, but were not enriched in young Hdac1 cKO mice (Supplementary Fig. 2f). Together, HDAC1 deficiency in aged mouse brains dampened the expression of genes important for brain function.
8-oxoG accumulation and gene repression due to Hdac1 cKO
To gain insight into how gene expression observed in aged Hdac1 cKO mice may be regulated, we analyzed gene promoters for enrichment of transcription factor (TF) binding sites40. The most enriched motifs among downregulated genes were the consensus binding sites for the specificity protein (SP) and Krüppel-like factor (KLF) (SP/KLF) family of TFs, which are composed of stretches of guanine-rich sequences (Fig. 2c). Guanine bases are susceptible to reactive oxygen species (ROS)-induced 8-oxoG DNA lesions41, known to accumulate in the aging brain42. Unrepaired 8-oxoG lesions can interfere with TF binding and disrupt gene expression43,44, as has been observed in the aging human cortex and in peripheral tissues of Fanconi anemia patients4,45. Accordingly, we examined 8-oxoG accumulation in Hdac1 cKO mice.
We first determined whether the promoters of genes downregulated in aged Hdac1 cKO mice were burdened with increased 8-oxoG lesions. We performed ChIP using an 8-oxoG antibody followed by qPCR to probe the promoters of seven representative DEGs chosen based on their promoters harboring SP/KLF family binding sites and comparable percentage of guanine bases (500 base pairs (bp) upstream from transcription start site). These included three upregulated genes (Cdc25b, Sertad1, and Stk40) and four downregulated genes (Prkcd, Gpx3, Slc4a5, and Slc18a2). Hdac1 ablation led to elevated 8-oxoG at promoters of all four downregulated genes in aged mice (Fig. 2d). In contrast, no such enrichment was detected for the three upregulated genes. These findings suggest that 8-oxoG accumulation at promoters of downregulated genes is likely linked to their transcriptional repression in aged Hdac1 cKO mice.
To determine whether 8-oxoG lesions increase globally in aged Hdac1 cKO mice, we performed a modified comet assay in which hippocampal homogenates were first incubated with formamidopyrimidine DNA glycosylase (FPG), an enzyme that removes 8-oxoG to generate single-strand breaks, enabling the detection of oxidative DNA lesions46. We found that aged Hdac1 cKO mice exhibited higher tail moment compared to controls (Fig. 2e, f), indicative of increased 8-oxoG lesions. To assess which cell types exhibit increased 8-oxoG levels in aged Hdac1 cKO mice, we co-stained brain slices with 8-oxoG and cell-type makers (NeuN for neurons; GFAP for astrocytes). In aged Hdac1 cKO mice, elevated 8-oxoG immunoreactivity was observed in both neurons and astrocytes, indicating that HDAC1 maintains genomic integrity in glia as well as neurons (Fig. 2g, h). These findings link HDAC1 deficiency to elevated oxidative DNA lesions, likely attenuating expression for a subset of aging-related genes with guanine-rich motifs in their promoters.
HDAC1 deacetylates OGG1 to stimulate its cleavage activity
The base excision repair pathway is responsible for 8-oxoG removal, with OGG1 as the major DNA glycosylase in mammals7,20. OGG1 can be acetylated by the histone acetyltransferase (HAT) p300, which stimulates OGG1 activity, as well as deacetylated by HDAC1, presumably on lysine residues acetylated by p30047. We explored whether 8-oxoG accumulation in aged Hdac1 cKO mice could be due to altered OGG1 activity. We acetylated recombinant OGG1 in vitro by incubation with p300. Increased acetylation of OGG1 was detected after p300 incubation (Fig. 3a, b). The acetylation reaction was then terminated by the addition of a p300 inhibitor, followed by the addition of recombinant HDAC1. We found that incubation with HDAC1 significantly reduced OGG1 acetylation, confirming that HDAC1 is capable of directly deacetylating OGG1 (Fig. 3a, b).
We next assessed the effects of HDAC1-mediated deacetylation on OGG1 using an OGG1 cleavage assay, which measures the successful reaction of two sequential steps catalyzed by OGG1, 8-oxoG base removal and incision of apurinic and apyrimidinic (AP) sites from a fluorophore-labeled OGG1 substrate48,49,50. Active OGG1 cleaves at the 8-oxoG base of the full-length substrate to generate a 17-nt fluorophore-labeled oligonucleotide (Fig. 3c). As reported previously47, incubation with p300 stimulated OGG1 cleavage activity (Fig. 3d, e). Interestingly, HDAC1 further enhanced the activity of acetylated OGG1 (Fig. 3d, e), likely at the AP site cleavage step (Supplementary Fig. 3). This stimulatory effect of HDAC1 on OGG1 was dependent on p300-mediated acetylation (Fig. 3d, e) and sensitive to HDAC1 heat inactivation and pharmacological inhibition (Supplementary Fig. 4a–d). Mass spectrometry analysis identified p300-acetylated lysine residues on OGG1 exhibiting both decreased and increased acetylation by the addition of HDAC1, indicating a complex interplay between p300 and HDAC1 in mediating OGG1 activity (Supplementary Fig. 5). Nonetheless, our findings clearly indicate that HDAC1 stimulates OGG1 activity in vitro, likely by deacetylating a specific subset of lysine residues.
We next determined whether HDAC1 interacts with OGG1 and modulates its activity in vivo. OGG1 was co-immunoprecipitated by HDAC1 from cortical and hippocampal nuclear extracts prepared from wild-type animals (Fig. 3f, Supplementary Fig. 6), confirming in vivo interaction. Elevated 8-oxoG lesions in aged Hdac1 cKO mice (Fig. 2e, f) were paralleled by increased OGG1 acetylation and reduced OGG1 activity in hippocampal nuclear extracts from these animals, despite similar overall OGG1 levels (Fig. 3g–j; Supplementary Fig. 4e, f). Collectively, these results indicate that HDAC1 physically interacts with OGG1 and contributes positively to OGG1 activity in the aging brain.
HDAC1 alters 8-oxoG levels and gene expression in 5XFAD mice
Elevated 8-oxoG lesions have been reported in AD patients51. To experimentally examine oxidative damage in an AD mouse model, and to interrogate the roles of HDAC1, we crossed Hdac1 cKO to 5XFAD mice, a widely used transgenic model that expresses mutated forms of the human APP and PSEN1 genes21. We determined 8-oxoG levels in 5XFAD mice deficient for HDAC1 by co-labeling 8-oxoG with cell-type-specific makers in aged mouse brains. Compared to controls, 8-oxoG intensity was elevated in Hdac1 cKO and 5XFAD mice in hippocampal neurons and astrocytes (Fig. 4a, b). However, neuronal 8-oxoG intensity was even higher in compound transgenic mice (Hdac1 cKO; 5XFAD mice) (Fig. 4a, b), suggesting that loss of HDAC1 exacerbates 8-oxoG lesions in hippocampal neurons of 5XFAD mice.
We next conducted RNA-seq on 13-month-old hippocampal tissues to assess whether HDAC1 deficiency alters gene expression in 5XFAD animals. We found 581 and 703 DEGs in 5XFAD and compound transgenic mice, respectively, compared to controls, with approximately equal numbers of up- and downregulated genes in each case (Fig. 4c, d). In all, 65.7% of genes altered in 5XFAD mice were also affected in compound mice, indicating highly similar transcriptional alterations (Supplementary Fig. 7a). Notably, the promoters of downregulated genes in 5XFAD mice were enriched with similar guanine-rich consensus motifs for the SP family of TFs observed in aged Hdac1 cKO mice (Fig. 4c, d). Indeed, genes downregulated in aged Hdac1 cKO mice also exhibited reduced expression levels in 5XFAD and compound transgenic mice (Fig. 4e). These similar gene expression changes were not likely due to shared alterations in cell-type composition (Supplementary Fig. 8). Further, we observed a reduction in hippocampal HDAC1 activity in aged 5XFAD mice, but no significant difference in p300 activity (Fig. 4f; Supplementary Fig. 7c). These findings implicate HDAC1 dysfunction as a contributor to 8-oxoG accumulation and altered gene expression in 5XFAD mice.
Of the downregulated DEGs in 5XFAD (n = 288), compound transgenic (n = 335), and Hdac1 cKO (n = 397) mice, 150 were shared by all three groups, representing 38–52% of all downregulated genes in each group (Fig. 4g). Consistent with downregulated DEGs in Hdac1 cKO mice, these 150 genes function primarily in ion transport pathways (Fig. 4h). In contrast, only 19 of the upregulated genes were common to all three groups (Supplementary Fig. 7b). These results suggest that Hdac1 cKO and 5XFAD mice both exhibit elevated 8-oxoG lesions, and share a common gene expression signature characterized by the downregulation of transcripts with guanine-rich promoter elements.
We compared DEGs between 5XFAD and compound transgenic group and found 257 genes (149 upregulated and 108 downregulated genes) were differentially expressed in response to HDAC1 deficiency (Supplementary Fig. 7d). The upregulated genes were associated with defense and immune responses, and downregulated genes with regulation of cell activation (Supplementary Fig. 7d). Guanine-rich motifs were less enriched in genes downregulated in compound transgenic mice compared to the other downregulated gene sets examined herein (Supplementary Fig. 7e). These findings suggest that genes sensitive to 8-oxoG lesions were already repressed in 5XFAD mice, potentially due to impaired HDAC1 activity.
Exifone is an HDAC1 activator in vitro and in vivo
Our results indicate that loss of HDAC1 results in age-dependent cognitive decline, paralleled by reduced OGG1 activity and 8-oxoG lesion accumulation. These findings suggest that enhancing HDAC1 function could provide benefit in both aging and neurodegeneration. Our previous screening efforts to identify small molecule activators of HDAC1 yielded exifone as an HDAC activator and a strong candidate for such a therapeutic strategy (Supplementary Fig. 9a)52. Exifone has also been shown to have pro-cognitive effects in animal models and in patients with Alzheimer’s-type dementia and Parkinson’s disease53,54,55,56.
We tested whether exifone treatment of cultured neurons could reduce DNA DSBs and histone acetylation15,17. Exifone treatment led to a 50% reduction in acetylated H4K12 that was largely blocked by Hdac1 knockdown, indicating the specificity of the effect (Supplementary Fig. 9b–e). In contrast, exifone treatment of cultured astrocytes showed no effect on H4K12 acetylation, suggesting distinct sensitivity or regulation in the two cell types (Supplementary Fig. 9f, g). Exifone treatment reduced etoposide-induced DNA DSB-marker γH2AX in cultured neurons (Supplementary Fig. 9h, i), consistent with our previous reported HDAC1 overexpression15.
To test its effects in vivo, we administrated exifone in CK-p25 mice, an inducible neurodegeneration model, characterized by HDAC1 inhibition, increased neuronal DNA DSBs, and memory deficits14. CK-p25 mice were induced for 6 weeks, and they received either exifone or vehicle by intraperitoneal injection for the last 3 weeks of the induction period. Exifone was detectable in mouse brains after a single intraperitoneal injection (Supplementary Fig. 10a), indicating effective brain penetration. Compared to the vehicle group, administration of exifone in CK-p25 mice reduced γH2AX-positive cells in the hippocampal CA1 region (Supplementary Fig. 10b, c), consistent with the positive function of HDAC1 in DSB repair. Moreover, exifone treatment enhanced memory function in CK-p25 mice, as evidenced by increased freezing behavior in a contextual fear conditioning test, without alternating locomotor activity (Supplementary Fig. 10d, e). These findings indicate that exifone treatment produces similar effects as HDAC1 overexpression both in vitro and in vivo.
HDAC1 protects against 8-oxoG lesions in aged and 5XFAD mice
We next asked if pharmacological activation of HDAC1 could enhance OGG1 activity by examining 8-oxoG lesions that accumulate during physiological aging42. We treated 17-month-old wild-type mice with exifone (50 mg/kg body weight) daily for 4 weeks by intraperitoneal injection. Exifone had no effect on non-oxidative DNA damage, as shown by the similar tail moment between exifone- and vehicle-treated aged mice in the alkaline comet assay (Fig. 5a, b). By contrast, the FPG-modified comet assay revealed a marked reduction of 8-oxoG lesions in exifone-treated aged mice (Fig. 5a, b). Consistently, there was enhanced OGG1 activity in hippocampal nuclear extracts of exifone-treated aged mice (Fig. 5c, d). Thus, pharmacological activation of HDAC1 further supports our conclusion that HDAC1 stimulates OGG1 to repair 8-oxoG lesions.
As accumulation of 8-oxoG lesions has also been reported in AD patients51, we next examined whether exifone treatment could reduce 8-oxoG lesions in 5XFAD mice and improve cognitive performance. Eight-month-old 5XFAD and non-Tg animals were treated with exifone or vehicle for 2 weeks by intraperitoneal injection before testing. Consistent with our immunostaining results (Fig. 4a, b), we detected a higher tail moment in vehicle-treated 5XFAD animals in the FPG-modified comet assay compared to vehicle-treated controls (Fig. 5e, f). Interestingly, exifone-treated animals exhibited reduced tail moment compared to those treated with vehicle, whereas exifone treatment did not reduce tail moment in the alkaline comet assay. Together, these findings suggest that HDAC1 activation reduces 8-oxoG lesions in both wild-type and 5XFAD animals, and suggest the therapeutic potential of this approach in aging and neurodegeneration.
HDAC1 activation improves cognition in 5XFAD mice
We then conducted contextual fear conditioning to evaluate hippocampal-dependent memory27. We observed increased freezing behavior in exifone- compared to vehicle-treated 5XFAD mice, indicating that exifone improves memory without effect on locomotor activity (Fig. 5g; Supplementary Fig. 10f). Moreover, exifone treatment enhanced hippocampal LTP induction in 14-month-old 5XFAD mice relative to vehicle-treated mice (Fig. 5h, i). No improvement in fear memory and LTP induction was observed in exifone-treated non-Tg animals (Fig. 5g–i).
We also delivered exifone directly into mouse brain by intracerebroventricular (ICV) injection to rule out indirect effects of exifone in the periphery due to intraperitoneal delivery. Sixteen-month-old 5XFAD animals were infused with exifone (100 ng/day) for 2 weeks before subjecting them to the Morris water maze test. Compared to the vehicle group, exifone (ICV)-treated animals spent more time in the target quadrant during the probe trial, suggesting an improvement of spatial memory (Supplementary Fig. 11a–c). Similarly, the level of 8-oxoG lesions was reduced in 5XFAD mice that received exifone (ICV), as shown by lower tail moment in the FPG-modified comet assay (Supplementary Fig. 11d, e). These findings are consistent with our observations in 5XFAD animals receiving exifone treatment intraperitoneally, and suggest that the beneficial effects of exifone are not likely due to molecular relay from activating peripheral HDAC1. While these results indicate that activation of HDAC1 in the brain by exifone likely mediates the various observed effects, we cannot rule out indirect or off-target effects. Together, our findings show that HDAC1 activation reduces 8-oxoG lesions and enhances memory function and LTP induction in 5XFAD mice, suggesting a promising strategy to combat the pathologies associated with aging, AD, and potentially other neurodegenerative disorders.
HDAC1 counters oxidative stress-induced gene repression
Our findings demonstrate that HDAC1 deficiency leads to reduced OGG1 activity, concomitant with accumulated 8-oxoG lesions and aberrant transcriptional repression of genes involved in brain function. To test whether HDAC1 can confer neuronal protection against oxidative damage-mediated gene repression, we exposed cultured neurons to a mild oxidative stress that increases 8-oxoG lesions4 without reducing neuronal survival (Supplementary Fig. 12a). First, we found that the downregulated genes in aged Hdac1 cKO mice (see Fig. 2b) exhibited reduced expression in neurons exposed to this mild oxidative stress (Fig. 6a). Moreover, the expression of these genes was also decreased in neurons expressing small hairpin (sh) against Hdac1 (Fig. 6b, Supplementary Fig. 12b). Thus, similar to aged Hdac1 cKO mice, cultured neurons with either HDAC1 depletion or exposed to mild oxidative stress showed repression of genes with guanine-rich promoters. Consistently, pre-incubating cultured neurons with exifone alleviated oxidative damage-induced gene repression (Fig. 6c). Furthermore, knocking down Ogg1 attenuated the effect of HDAC1 activation on oxidative damage-induced gene repression (Fig. 6c, Supplementary Fig. 12c). Together, these findings support our conclusion that activation of HDAC1 counteracts oxidative damage-mediated gene repression in an OGG1-dependent manner.
Neuronal HDAC1 depletion in aged mice impairs memory
Given that HDAC1 was depleted in both neurons and astrocytes in Hdac1 cKO mice, we next assessed whether knockdown of HDAC1 in neurons was sufficient to cause cognitive deficits in aged animals. We injected bilaterally into the hippocampus of aged wild-type animals an adeno-associated virus (AAV) subtype, PHP.eB, that preferentially transduces neurons57 and expresses either scrambled or Hdac1 shRNA with an mCherry reporter. Reduced HDAC1 immunoreactivity in animals that received shHdac1 demonstrated successful knockdown (Fig. 6d, e). These mice were subjected to Morris water maze test for memory assessment 3 weeks after viral injection. We observed no significant difference in spatial learning during the acquisition phase of the Morris water maze task. However, aged mice that received shHdac1 exhibited a lower number of platform crossings in the probe trial (Fig. 6f, g), indicative of memory deficits. Analysis of the total distance traveled and latency to visible platform showed the cognitive deficits observed were not due to reduced swimming velocity or impaired vision (Supplementary Fig. 13). Thus, reduced neuronal expression of HDAC1 is sufficient to impair memory function in aged mice.
HDAC1 deficiency resulted in astrogliosis, increased GFAP immunoreactivity, and astrocytic hypertrophy in aged mice. Astrocytes adopt morphological changes under stress, injury, and neurodegenerative conditions58. Thus, the alterations observed in aged Hdac1 cKO mice could be due to increased 8-oxoG levels in astrocytes lacking HDAC1 and/or to other changes affecting the brain environment. Astrocytes modulate synaptic plasticity and memory function59. Transcriptomic analysis of astrocytes reveals changes in pathways that potentially affect cognition in aged Hdac1 cKO mice, including lipid metabolism60 and immune-related responses61 (Supplementary Fig. 14). These observations suggest potential contributions of astroglial HDAC1 to cognitive function in aged animals.
Unlike 2-month-old animals, 6-month-old Hdac1 cKO mice already exhibit impaired hippocampal LTP induction. Whether hippocampal LTP induction is further impaired in 13-month-old Hdac1 cKO animals remains to be addressed, due to technical difficulty of this measurement in aged animals. It is possible that the deficits in LTP induction and cognition in Hdac1 cKO could be attributable to neuronal as well as astrocytic dysfunction.
DNA DSBs is considered the most deleterious type of DNA damage in neurons7; however, their incidence is lower than other types of DNA lesions62. The brain having high energy consumption is constantly exposed to dangerous ROS species and consequently ROS-associated damage. In neurodegenerative diseases, ROS levels are further elevated, resulting in increased 8-oxoG lesions and mutations that jeopardize genome integrity62. These studies, and our findings, suggest that 8-oxoG lesions may be one of the major types of DNA damage that contribute to neurodegenerative phenotypes, underscoring the importance of HDAC1 function in brain health.
Our findings provide a possible link between oxidative DNA damage and impairment of neuronal and cognitive function. We show that the downregulated genes shared by aged Hdac1 cKO and 5XFAD mice primarily function in ion transport pathways, and are also downregulated in aged humans and AD patients63,64. Disruptions of ion transport contribute to ionic gradient imbalance and altered neuronal excitability, two pathological features of brain aging and neurodegeneration65,66. These findings indicate that 8-oxoG accumulation and downregulation of ion transport may contribute to functional decline in aged Hdac1 cKO and 5XFAD mice. Further, we show that exifone treatment reduces 8-oxoG levels and enhances cognition in 5XFAD animals with minimal effects on tail moment in the alkaline comet assay, suggesting it acts primarily through reducing 8-oxoG lesions.
One intriguing observation was the significant overlap of downregulated genes with guanine-rich promoters between aged Hdac1 cKO and 5XFAD mice, coincident with the elevated 8-oxoG lesions and reduced HDAC1 activity in 5XFAD mice. While the mechanisms underlying impaired HDAC1 function remain to be confirmed, the effect is likely mediated by the p25/CDK5 complex. HDAC1 activity is inhibited in CK-p25 mice that overexpress p25, an activator of CDK5 kinase function. p25 is overexpressed in multiple neurodegenerative diseases and disease models, including 5XFAD mice21, suggesting that HDAC1 inhibition and increased 8-oxoG lesions are likely mediated via a common pathological mechanism involving p25/CDK5 dysregulation.
Besides OGG1, two other DNA glycosylases (NEIL1 and NTH1) possess 8-oxoG processing capacity; however, both have weaker substrate preference67, and their depletion did not result in 8-oxoG accumulation in aged mouse brains68. OGG1 is regulated by a complex interplay between acetylation and deacetylation, affecting catalytic activity and protein stability69,70. OGG1 is acetylated by p300 on multiple sites, promoting its activity47. The effects of OGG1 deacetylation appear to be more complex, with both increased and decreased activation and stability69,70. Our work demonstrates that HDAC1 is an OGG1 deacetylase in the brain, likely stimulating OGG1 activity by promoting AP site incision. Our findings link HDAC1 and OGG1 to oxidative DNA damage, neuronal gene expression, synaptic plasticity, and cognitive performance in brain aging and neurodegenerative disease, and highlight the therapeutic potential of pharmacological HDAC1 activation in aging and neurological disorders.
All mouse work was approved by the Committee for Animal Care of the Division of Comparative Medicine at Massachusetts Institute of Technology. Hdac1f/f mice were gifted from E.N. Olson23. Hdac1f/f mice were bred with Nestin-Cre transgenic mice24 to generate Hdac1 brain-specific conditional knockout (Hdac1 cKO) mice. 5XFAD mice were obtained from Jackson Laboratory (JAX ID# 34840), and were crossed with Hdac1 cKO mice to generate Hdac1 cKO; 5XFAD (compound transgenic) mice. Aged C57BL/6J mice were obtained from National Institute on Aging. Two- to three-month-old male mice were used as young group, and 13- to 17-month-old male mice were used as aged group. Mice were housed in groups of three to five animals on a standard 12 h light/12 h dark cycle, temperature (24 °C), and humidity (45%) with food and water available ad libitum. All experiments were performed during the light cycle.
The antibodies used for immunostaining were as follows: anti-HDAC1 (Thermo, PA1-860, 1:500), anti-GFAP (Abcam, ab53554, 1:500), anti-NeuN (Rbfox3) (Synaptic Systems, 26604, 1:500), anti-IBA1 (Wako Chemicals, 019-19741, 1:500), cleaved caspase-3 (Abcam, ab2302, 1:200), anti-8-OHdG N45.1 (Cosmo Bio, NNS-MOG-020-EX, 1:100), and anti-γH2AX (Millipore, 05-636, 1:500). The antibodies used for western blots were as follows: anti-HDAC1 (Abcam, ab7028, 1:2000), anti-OGG1 (Novus Biologicals, NB100-106, 1:1000), anti-Lamin B1 (Abcam, ab16048, 1:1000), anti-GAPDH (Cell Signaling Technology, 2118, 1:5000), anti-acetyl-lysine 4G12 (Millipore, 05-515, 1:2000), anti-γH2AX (Millipore, 05-636, 1:2000), anti-acetyl-histone H4 (Lys12) (Millipore, 07-595, 1:2000), anti-histone H3 (Abcam, ab24834, 1:10,000), and p300 (Thermo Fisher, MA1-16608, 1:1000). Antibodies used for immunoprecipitation and ChIP experiments were anti-OGG1/2 (Santa Cruz Biotechnology, sc-376935), anti-OGG1 (Novus Biologicals, NB100-106), anti-HDAC1 (Cell Signaling Technology, 5356), p300 (Thermo Fisher, MA1-16608), and anti-8-OHdG N45.1 (Cosmo Bio, NNS-MOG-020-EX).
Mice were transcardially perfused with cold phosphate-buffered saline (PBS), followed by perfusion with cold 4% paraformaldehyde in PBS. Brains were post fixed in 4% paraformaldehyde at 4 °C overnight, and prepared as 40-μm-thick vibratome coronal sections in PBS. Antigen retrieval was performed for HDAC1 immunostaining. Brain sections were immersed in citrate buffer (10 mM sodium citrate, 0.05% Tween-20, pH 6.0 in PBS) at 80 °C for 20 min, and cooled to room temperature (RT) for 1 h. Free-floating sections were next permeabilized and blocked in PBS containing 0.2% Triton X-100 and 10% normal donkey serum at RT for 1 h, and then incubated overnight at 4 °C with primary antibodies diluted in blocking buffer. Primary antibodies were visualized using the appropriate secondary antibodies conjugated to Alexa Fluor 488, Alexa Fluor 594, and Alexa Fluor 647 antibodies (Thermo Fisher Scientific, all diluted 1:500 in blocking buffer) and nuclei were visualized with Hoechst 33342 (Thermo Fisher Scientific, H1399). Samples were washed three times in PBS each after incubation with primary and secondary antibodies. Images were acquired on a Zeiss LSM710 confocal microscope. Quantification of GFAP and γH2AX immunoreactivity was performed with the ImageJ software (version 1.51m9). Cell size of astrocytes, 8-oxoG intensity in aged mouse brain, and HDAC1 intensity of mCherry+ cells were analyzed with the Imaris image analysis software (Bitplane). For each experiment, two coronal sections from at least three animals were used for quantification.
Cultured neurons were washed once with cold 1× PBS and lysed in RIPA buffer (150 mM NaCl, 1% IGEPAL, 0.5% NaDOC, 0.1% SDS, and 50 mM Tris-HCl, pH 8.0, supplemented with protease inhibitors). The supernatant was collected after centrifugation at 12,000 × g for 10 min at 4 °C. For brain tissue, nuclear fractions were extracted using the Subcellular Protein Fractionation Kit for Tissue according to the manufacturer’s instructions (Thermo Scientific, 87790). Lysates were quantified using Bio-Rad Protein Assay, and equal amount of protein was loaded onto a 10% acrylamide gels. Protein was transferred from the gel to 0.45 μm PVDF membranes (Millipore) at 100 V for 2 h and blocked with 5% non-fat milk in TBST (10 mM Tris-HCl pH 8.0, 150 mM NaCl, 0.05% Tween-20) for 1 h before application of primary antibodies. Membranes were incubated with primary antibodies overnight at 4 °C and secondary antibodies at RT for 1 h. Proteins were detected by a Chemiluminescent Kit and visualized by an autoradiographic film. Western blots were analyzed with the ImageJ software (version 1.51m9).
RNA extraction and qPCR
Hippocampus was snap frozen in liquid nitrogen and stored at −80 °C, and total RNA was extracted using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. Reverse transcription of total RNA (1 μg) was carried out using RNA to cDNA EcoDry Premix (Oligo dT) (Clontech) according to the manufacturer’s protocol. qPCR was performed using a Bio-Rad CFX-96 quantitative thermocycler and SsoFast EvaGreen Supermix (Bio-Rad). Relative changes in gene expression were determined using the 2−ΔΔCt method. Primer sequences used for qPCR can be found in Supplementary Table 1.
Mice were handled more than 3 days prior to behavioral tests, and were left to acclimate in the testing rooms for at least 1 h before experiments. For open field test, mice were placed in the center of an open field box (40 cm × 40 cm × 30 cm), and habituated for 10 min. Activity was measured automatically by the VersaMax software (AccuScan Instruments) as movement across a grid of infrared light beams during habituation. Morris water maze task was conducted in a circular tank (1.2 m diameter) filled with opaque water at 22 °C with spatial reference cues on the wall surrounding it. The tank contained a hidden fixed platform (10 cm diameter) in a target quadrant. During training, mice were randomly placed into water maze facing the wall of the tank, and allowed to search for the hidden platform for 60 s. Mice were guided to the platform and kept on the platform for 30 s if they failed to locate it within 60 s. Two trials a day were conducted, and mice were kept on a heating pad between trials. One day after the last training, the platform was removed to conduct a probe trial for assessing spatial memory. Mouse behavior was video recorded and analyzed using EthoVision XT (Noldus Information Technology). Latency to hidden platform during training, time spent in each quadrant, and total distance traveled during probe trial (60 s) were recorded and analyzed automatically. The number of platform crossing during the probe trial was analyzed manually. Visible platform test was performed 1 h after probe trial to assess visual deficiency. For contextual fear conditioning test, mice were placed in a conditioning chamber with acrylic walls and a metal grid bottom that delivered a foot shock (TSE Systems). After 3 min of habituation, mice received a foot shock (2 s, 0.4–0.8 mA constant current) and remained in the context for an additional 30 s before returning to their home cage. Contextual fear memory was measured 24 h after foot shock by scoring freezing behavior automatically for 3 min in the context used during conditioning. Each behavioral test assessing cognitive function (fear conditioning and Morris water maze test) was conducted using different cohort of animals. The number of cohorts of animals for each behavioral task was as follows: one cohort of animals for Figs. 1e–g, 6f, g, Supplementary Fig. 1g–i, Supplementary Fig. 10d, e and Supplementary Fig. 11a–c; two cohorts of animals for Fig. 5g and Supplementary Fig. 10f.
Single-cell electrophoresis (comet) assay
Hippocampal tissues were homogenized in 0.5 mL cold PBS using a rotor stator on ice. After homogenization, cells were run through a 0.45 μm cell strainer and diluted with cold PBS to 4 × 105 cells/mL. Fifty microliters of diluted cells were added to 450 μL of 1% low melting point agarose (Invitrogen) kept at 42 °C and applied onto each well of comet slides (Trevigen, 4250-004-03). Comet slides were kept at 4 °C in the dark for 30 min, and then immersed in cold lysis solution (Trevigen, 4250-050-01) that contained 10% dimethyl sulfoxide (DMSO) at 4 °C in the dark for 14 to 16 h. After overnight lysis, slides were incubated with freshly prepared pre-chilled alkaline buffer (300 mM NaOH, 1 mM EDTA) for 1 h in the dark at 4 °C, and then subjected to electrophoresis in 850 mL cold alkaline buffer using CometAssay® Electrophoresis System II (Trevigen, 4250-050-ES) following the manufacturer’s instructions. For FPG treatment, slides were digested with FPG enzyme (NEB, M0240, 1:1000) in a reaction buffer (40 mM HEPES, 0.1 M KCl, and 0.2 mg/mL bovine serum albumin (BSA), adjust to pH 8.0 with KOH) at 37 °C for 45 min. Slides were washed two times with cold reaction buffer for 5 min at RT, and subjected to electrophoresis. After electrophoresis, slides were washed with cold neutralization buffer (0.4 M Tris-HCl, pH 7.4) for 15 min twice in the cold room, and then incubated with 70% ethanol at RT for 30 min. Slides were next dried at 37 °C for 30 min to bring cells into the sample plane, and stained with SYBR Gold (Invitrogen, S11494) for 30 min at RT. Slides were imaged using a Zeiss LSM710 confocal microscope (×5 objective) with tile scan, which allowed us to acquire 992 nuclei in average for each animal in this study. Comet images were analyzed using default settings in the OpenComet software, a free plugin for ImageJ (http://www.cometbio.org/index.html).
Cell culture and cell viability assay
Primary cortical neurons were cultured from Swiss–Webster embryos (embryonic day 16), and then were maintained in neurobasal media (Gibco, 21103) supplemented with l-glutamine (5 mM), penicillin and streptomycin, and B27 neuronal additive. Primary astrocytes were cultured from Swiss–Webster pups (postnatal day 0), and then were maintained in Dulbecco’s modified Eagle’s media (Gibco, 10566) supplemented with l-glutamine (5 mM), penicillin and streptomycin, and fetal bovine serum. Cell viability was determined by the CellTiter-Glo® Luminescent Cell Viability Assay (Promega).
In vivo drug administration and LC/MS/MS analysis
For intraperitoneal injection, mice received daily dose of 50 mg/kg body weight exifone. Exifone (TCI America, H1065) was dissolved in 10% DMSO, 10% Tween-80, and 80% saline to make 10 mg/mL solution and stored at −20 °C. For cannula implantation, mice were anesthetized with isoflurane in the stereotaxic frame for the entire surgery and their body temperature was maintained using a heating pad. A cannula (26 gauge and 2.5 mm length below pedestal) was implanted into the lateral ventricle (A/P: −0.3 mm; M/L: 0.9 mm; D/V: −2.5 mm relative to the Bregma) and secured by dental cement. Exifone (100 ng) was infused into the lateral ventricle daily for 2 weeks prior to behavioral assessments. On the day of behavioral test, drug infusion was performed 2 h prior to administration of behavioral tests. For liquid chromatography with tandem mass spectrometry (LC/MS/MS) analysis, brain samples were collected from a set of three mice at each time point. Brain samples were homogenized using ice-cold PBS (pH 7.4) in a ratio of 2 (buffer):1 (brain), and homogenates were stored below −80 °C until analysis. Total homogenate was kept at volume three times that of brain weight. All samples were processed for analysis by protein precipitation using acetonitrile and analyzed with fit-for-purpose LC/MS/MS method.
Total RNA was extracted from hippocampal tissues using TRIzol reagent (Invitrogen), and 3 μg of total RNA was treated with DNase I (Worthington Biochemical), followed by RNA purification using RNA Clean and Concentrator-5 Kit (Zymo Research) according to the manufacturer’s protocols. Purified RNA was subjected to quality control (Fragment Analyzer). cDNA libraries were prepared using Illumina TruSeq Total RNA Sample Prep Kits (Illumina) and High-Throughput 3′Digital Gene Expression method for 3 and 13 months mouse brain, respectively. Libraries were sequenced on the Illumina HiSeq 2000 platform at the MIT BioMicro Center. The collapsed raw fastq reads were aligned by Tophat2, and further processed by Cufflinks 2.0.0 with UCSC mm9 reference gene annotation to determine transcript abundances. The mean yield per sample was 14,217,977 sequencing reads. A gene was considered differentially expressed with a fold change ≥1.5 and a statistical significance of P < 0.05. GO analysis of DEGs was performed using gene set enrichment analysis31,32 for GO biological process (MSigDB, Broad Institute). TF-binding motif analysis of DEGs was conducted using the HOMER software40. Sequencing datasets are available to the public in the GEO Data Bank under accession numbers GSE115437 and GSE147407. The lists of DEGs can be found in Source Data file.
Cell-type enrichment of DEGs
To examine the possibility that the similar changes in gene expression in aged Hdac1 cKO and 5XFAD mice were caused by similarly altered cell composition (e.g., astrogliosis), we took advantage of a published cell-type-specific mouse Brain RNA-seq dataset (https://www.brainrnaseq.org). Genes whose expression were enriched >4-fold in one cell type relative to the others were utilized as markers of that cell type. We overlaid the DEGs identified from Hdac1 cKO and 5XFAD brains onto these cell-type marker genes, and found no cell-type enrichment for Hdac1 cKO DEGs. In contrast, we observed a significant enrichment of microglia and astrocyte marker genes among the DEGs from 5XFAD mice (Supplementary Fig. 8a). We also analyzed the expression levels of our DEGs in each of the cell types from this dataset (https://www.brainrnaseq.org, Brain RNA-seq dataset) to examine for possible cell-type enrichment, reasoning that if the DEGs were preferentially derived from a particular cell type, their baseline expression would also be higher in that cell type. We found that the DEGs from 5XFAD mice altered expression in microglia, whereas no cell-type-specific expression differences were observed for DEGs from aged Hdac1 cKO mice (Supplementary Fig. 8b). These findings indicate that the similar changes in gene expression in aged Hdac1 cKO and 5XFAD mice were not likely due to shared alterations in cell-type composition.
Hippocampi (two hemispheres) were snap frozen in liquid nitrogen and stored at −80 °C. Frozen tissues were homogenized using a dounce tissue grinder (Wheaton) in cold PBS and fixed in 1% formaldehyde for 10 min at RT, and then quenched with 125 mM glycine for 5 min. Fixed homogenates were washed twice by cold NF1 buffer (10 mM Tris-HCl pH 8.0, 5 mM MgCl2, 0.1 M sucrose, 1 mM EDTA pH 8.0, 0.5% Triton X-100, proteinase inhibitor cocktail), and incubated with 10 mL of NF1 buffer at 4 °C for 30 min with shaking to release the nuclei. Fixed nuclei were pelleted down and resuspended in LB3 buffer (10 mM Tris-HCl pH 8.0, 1 mM EDTA pH 8.0, 0.5 mM EGTA pH 8.0, 0.5% (w/v) N-lauroylsarcosine sodium salt, proteinase inhibitor cocktail) and chromatin shearing using a Bioruptor Plus (Diagenode, setting medium, 25 cycles of 30 s ON, 30 s OFF). Equal amounts of chromatin (3 μg) were pre-cleared and immunoprecipitated overnight at 4 °C with 5 μg antibodies against HDAC1 (Cell Signaling Technology, 5356), anti-8-OHdG N45.1 (Cosmo Bio, NNS-MOG-020-EX), or normal mouse IgG (Millipore, 12-371). Targeted chromatin was enriched using Dynabeads Protein G (Thermo Fisher Scientific, 10003D) for 4 h, followed by four washes with RIPA buffer (50 mM HEPES pH 7.6, 10 mM EDTA, 0.7% (w/v) sodium deoxycholate, 0.5 M LiCl, 1% NP-40, proteinase inhibitor cocktail) and once with TE buffer (50 mM Tris-HCl pH 8.0, 10 mM EDTA pH 8.0). Immunoprecipitated chromatin was eluted twice in TES buffer (50 mM Tris-HCl pH 8.0, 10 mM EDTA pH 8.0, 1% SDS) at 65 °C for 20 min with agitation, and then reverse crosslinked in a 65 °C water bath overnight. Chromatin was next treated with RNase (20 μg) and proteinase K (40 μg), followed by DNA purification using phenol–chloroform extraction and ethanol precipitation. DNA pellets were resuspended in 10 mM Tris-HCl (pH 8.0) and subjected to ChIP-seq or qPCR analysis. Primer sequences used for ChIP-qPCR can be found in Supplementary Table 2.
Briefly, HDAC1 ChIP-seq was performed on hippocampal tissues of 3 months wild-type mice (Jackson Laboratory, C57BL/6J). Sequencing libraries were prepared from ~1 to 5 ng ChIP (or input) DNA. Gel electrophoresis was used to retain library fragments between 300 and 600 bp. Prior to sequencing, libraries were quantified using Qubit (Invitrogen) and quality controlled using Agilent’s Bioanalyzer. Sequencing reads were aligned to the mouse genome assembly (mm9) using BWA aligner (samse option). Duplicate reads were removed by samtools. Bed alignment files were generated using bedtools. Peak calling was conducted using MACS2 peak-finding algorithm, and we identified 6998 peaks (0.05% false discovery rate cut-off). Annotated genes associated with HDAC1 binding was identified by the GREAT software utilizing default settings. MACS2 program was used to generate fold enrichment of ChIP-seq signals against input across the genome (bedgraph format). The mean yield per sample was 15,647,780 40-bp single-end reads, of which 12,979,186 reads were aligned (82.9%). The output bedgraph files were used by HOMER program to generate aggregated ChIP-seq signals around gene TSS (5 kb upstream and downstream). Chromatin states were defined by available ChIP-seq datasets, and enrichment of HDAC1 binding over chromatin states was assessed using the ChromHMM software. Sequencing datasets are available to the public in the GEO Data Bank under the accession number GSE115437.
In vitro acetylation and deacetylation assays
For the acetylation assay, 100 ng recombinant OGG1 (ProSpec, ENZ-253) was incubated with 25 ng recombinant p300 (BPS Biosciences, 50071) at 30 °C for 1 h in the reaction buffer (50 mM Tris-HCl (pH 8.0), 1 mM DTT, 1 mM PMSF, 0.1 mM EDTA (pH 8.0), 50 nM acetyl-CoA, 10% glycerol), followed by incubating with 10 μM C646 (Tocris) at 37 °C for 30 min to stop p300 activity. The samples described above were next subjected to deacetylation assays, which were incubated with recombinant HDAC1 (25 and 50 ng, BPS Biosciences, 50051) at 37 °C for 1 h in the deacetylation buffer (137 mM NaCl, 2.7 mM KCl, 4 mM MgCl2).
OGG1 cleavage assay and mass spectrometry analysis
OGG1 substrate was a duplex of a 5′ IRDye800CW-labeled oligonucleotide synthesized by Bio-Synthesis (Lewisville, TX) with an 8-oxoG at position 17 (5′ IRDye800CW-ATA CGCATATACCGCTXTCGGCCGATCTCCGAT-3′, X = 8-oxoG), and a non-labeled complementary oligonucleotide (5′-ATCGGAGATCGGCCGACAGCGGTATATGCGTAT-3′). Hippocampal nuclear fractions were extracted using the Subcellular Protein Fractionation Kit for Tissue following the manufacturer’s protocols (Thermo Scientific, 87790) and diluted to 1.5 μg/μL with nuclear extraction buffer supplied in the kit. Hippocampal nuclear extracts (22.5 μg) were incubated with OGG1 substrate at 37 °C for 4 h with agitation in a 20-μL reaction (100 fmol OGG1 substrate, 20 mM Tris-HCl pH 8.0, 1 mM EDTA, 200 mM NaCl, 1 mg/mL BSA, 5% glycerol). After the reaction, samples were denatured in loading dye (95% formamide, 18 mM EDTA, 0.025% SDS, 0.025% bromophenol blue, 0.025% xylene cyanol) and loaded onto a 20% polyacrylamide gel containing 8 M urea at 200 V for 45 min. Gels were visualized using the LI-COR Odyssey imaging system, and OGG1 cleavage activity was determined by the amount of cleaved product using the ImageJ software (version 1.51m9). Samples after in vitro acetylation and deacetylation assays (described above) were incubated with OGG1 substrate (100 fmol) at 37 °C for 1 h. Heat-inactivated HDAC1 (80 °C for 20 min) and pharmacologically inhibited HDAC1 (incubated with 100 nM trichostatin A) were used to assess the stimulatory effect of HDAC1 deacetylase activity on OGG1 activity. For mass spectrometry analysis, recombinant OGG1 was incubated alone, with p300 or p300 followed by HDAC1. All three reactions were subsequently subjected to protein electrophoresis. Gel bands containing OGG1 were excised and were enzymatically digested. The resulting peptides were chromatographically separated and introduced into Orbitrap Elite mass spectrometer (Thermo Fisher) where peptides were mass measured within 3 p.p.m. and subsequently fragmented in a low-resolution ion trap.
Mice were anesthetized with isoflurane and decapitated. Transverse hippocampal slices (400 μm thick) were prepared in ice-cold dissection buffer (in mM: 211 sucrose, 3.3 KCl, 1.3 NaH2PO4, 0.5 CaCl2, 10 MgCl2, 26 NaHCO3, and 11 glucose) using a Leica VT1000S vibratome. Slices were recovered in a holding chamber containing oxygenated (95% O2 and 5% CO2) artificial cerebrospinal fluid consisting of (in mM) 124 NaCl, 3.3 KCl, 1.3 NaH2PO4, 2.5 CaCl2, 1.5 MgCl2, 26 NaHCO3, and 11 glucose for 1 h at 28–30 °C. Field recordings were performed at CA1 by stimulating Schaffer collateral fibers with a bipolar electrode. LTP was induced by a single theta-burst stimulation (TBS) after recording of stable baseline for 15 min. TBS consisted of ten bursts, each containing four pulses at 100 Hz. The slopes of field excitatory post-synaptic potentials (fEPSPs) were measured to quantify the strength of synaptic transmission. The magnitude of LTP was calculated by comparing the average slopes of fEPSPs during the last 10 min of recordings with those recorded before stimulation. A HEKA instrument (EPC10) was used for data acquisition, and data analysis was conducted using pClamp10 (Axon Instruments).
Immunoprecipitation and enzyme activity assay
For immunoprecipitation, hippocampal tissues were dounce homogenized in IP buffer (50 mM Tris-HCl pH 8.0, 150 mM NaCl, 0.5% Triton X-100, 0.1% NP-40). Lysates were pre-cleared with 30 μL of Protein A Sepharose beads (Sigma-Aldrich) at 4 °C for 30 min and incubated with 5 μg of primary antibody overnight on a tube rotator at 4 °C. Beads were washed three times in washing buffer (20 mM HEPES KOH adjust pH 7.9, 0.1 M KCl, 0.01% NP-40) and boiled in 2× loading buffer for western blot analysis. For HDAC1 and p300 activity assay, hippocampal tissues were lysed in IP buffer and immunoprecipitated with anti-HDAC1 antibody (Abcam, ab7028) or anti-p300 antibody (Thermo Fisher, MA1-16608). The washed beads with bound HDAC1 or p300 were assessed for HDAC or histone acetylase activity using the FLUOR DE LYS® HDAC Fluorometric Activity Assay Kit (Enzo Life Sciences) or HAT Activity Assay Kit (Abcam, ab65352) according to the manufacturer’s instructions. HDAC1 or p300 activity was normalized to input HDAC1 or p300 protein levels.
AAV production and viral injection
The plasmid expressing shHdac1 or scramble control together with an mCherry reporter was packaged into PHP.eB capsids. Aged wild-type mice were anesthetized with avertin, and a small hole was made in the skull above the hippocampus (relative to Bregma: A/P −2.0 mm and M/L ±1.50 mm relative to the Bregma). A Hamilton syringe with 33-gauge needle was lowered to the hippocampus (D/V: −1.5 mm), where 1 μL of AAV was infused with a flow rate of 100 nL/min into each hippocampus. The needle was withdrawn, following a 10-min post-injection period, and mice were allowed to recover for 4 days. The shRNA sequences can be found in Supplementary Table 3.
Purification and RNA-seq analyses of GFAP+ nuclei
In order to obtain enough material for downstream RNA-seq analysis, frozen cortical tissue was homogenized using a dounce tissue grinder (Wheaton) in 1 mL of cold NF1 buffer (10 mM Tris-HCl pH 8.0, 5 mM MgCl2, 0.1 M sucrose, 1 mM EDTA pH 8.0, 0.5% Triton X-100, proteinase inhibitor cocktail), and the suspension was centrifuged at 1600 × g at 4 °C for 7 min. Pellets were incubated with 10 mL of NF1 buffer at 4 °C for 30 min with shaking to release the nuclei. Released nuclei were then pelleted down at 1600 × g for 7 min and incubated with Alexa Flour APC-conjugated GFAP antibody (Cell Signaling Technology, 3657, 1:200) and Alexa Flour 488-conjugated NeuN (Millipore, MAB377X, 1:200) in cold PBS with 1% BSA and proteinase inhibitor cocktail on a tube rotator at 4 °C for 3 h. Pelleted nuclei were then resuspended in 0.5 mL PBS and were run through a 0.45 μm cell strainer prior to FACS sorting. Cytometry data were analyzed using BD FACSDiva 8.0 and FlowJo V10 (Tree Star, Inc.). RNA of GFAP+ nuclei was extracted using the RNeasy Plus Mini Kit (Qiagen, 74134) according to the manufacturer’s protocol. SMART-Seq v4 Ultra Low Input RNA Kit (Clontech, 634890) was used for library preparation. Sequencing datasets are available to the public in the GEO Data Bank under accession number GSE115437. The lists of DEGs can be found in Source Data file.
Results are shown as mean ± SEM. All statistical analysis was conducted using the Prism GraphPad software. Two-tailed unpaired t test, two-tailed Fisher’s exact test, one-way analysis of variance (ANOVA), followed by Tukey’s post hoc test, two-way ANOVA followed by Bonferroni post hoc test, and two-way repeated-measures ANOVA followed by Bonferroni post hoc test were used. The data were assumed to distribute normally, but this was not formally tested. No statistical method was used to determine sample sizes, but sample sizes in this study were similar to previous publications14,15, except for the comet assay. For the comet assays, at least three animals were used in each group and tile scan images using ×5 objective were acquired to obtain all the comets on the slides. Analysis of GFAP+ cell volume, 8-oxoG intensity in aged mouse brain, and HDAC1 intensity in mCherry+ cells were performed blind to the conditions of the experiment.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Source data underlying Figs. 1b,d–i, 2b, d, f, h, 3, 4b, f, 5b–d, f–i, and 6a–c, e–g and Supplementary Figs. 1a, d, f–i, 2a, b, d, e, 3–6, 7c, 8b, 9b–i, 10c–f, 11–13, and 14b are available as a Source Data file. All other relevant data supporting this study are available from the corresponding author upon reasonable request. Cell-type enrichment of DEGs was using published cell-type-specific mouse dataset (https://www.brainrnaseq.org, Brain RNA-seq dataset). Sequencing datasets are available to the public in the GEO Data Bank under accession numbers GSE115437 and GSE147407.
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M. & Kroemer, G. The hallmarks of aging. Cell https://doi.org/10.1016/j.cell.2013.05.039 (2013).
Hoeijmakers, J. H. J. DNA damage, aging, and cancer. N. Engl. J. Med. https://doi.org/10.1056/NEJMra0804615 (2009).
Lodato, M. A. et al. Aging and neurodegeneration are associated with increased mutations in single human neurons. Science (80−) https://doi.org/10.1126/science.aao4426 (2018).
Lu, T. et al. Gene regulation and DNA damage in the ageing human brain. Nature https://doi.org/10.1038/nature02661 (2004).
De Boer, J. et al. Premature aging in mice deficient in DNA repair and transcription. Science (80−) https://doi.org/10.1126/science.1070174 (2002).
Borgesius, N. Z. et al. Accelerated age-related cognitive decline and neurodegeneration, caused by deficient DNA repair. J. Neurosci. https://doi.org/10.1523/JNEUROSCI.1589-11.2011 (2011).
Madabhushi, R., Pan, L. & Tsai, L. H. DNA damage and its links to neurodegeneration. Neuron https://doi.org/10.1016/j.neuron.2014.06.034 (2014).
MacRae, S. L. et al. DNA repair in species with extreme lifespan differences. Aging (Albany, NY) https://doi.org/10.18632/aging.100866 (2015).
Hou, Y. et al. NAD+ supplementation normalizes key Alzheimer’s features and DNA damage responses in a new AD mouse model with introduced DNA repair deficiency. Proc. Natl. Acad. Sci. USA https://doi.org/10.1073/pnas.1718819115 (2018).
Fang, E. F. et al. NAD+ replenishment improves lifespan and healthspan in ataxia telangiectasia models via mitophagy and DNA repair. Cell Metab. https://doi.org/10.1016/j.cmet.2016.09.004 (2016).
Adamec, E., Vonsattel, J. P. & Nixon, R. A. DNA strand breaks in Alzheimer’s disease. Brain Res. https://doi.org/10.1016/S0006-8993(99)02004-1 (1999).
Jacobsen, E., Beach, T., Shen, Y., Li, R. & Chang, Y. Deficiency of the Mre11 DNA repair complex in Alzheimer’s disease brains. Mol. Brain Res. https://doi.org/10.1016/j.molbrainres.2004.05.023 (2004).
Shackelford, D. A. DNA end joining activity is reduced in Alzheimer’s disease. Neurobiol. Aging. https://doi.org/10.1016/j.neurobiolaging.2005.03.009 (2006).
Kim, D. et al. Deregulation of HDAC1 by p25/Cdk5 in neurotoxicity. Neuron https://doi.org/10.1016/j.neuron.2008.10.015 (2008).
Dobbin, M. M. et al. SIRT1 collaborates with ATM and HDAC1 to maintain genomic stability in neurons. Nat. Neurosci. https://doi.org/10.1038/nn.3460 (2013).
Sykora, P. et al. DNA polymerase β deficiency leads to neurodegeneration and exacerbates Alzheimer disease phenotypes. Nucleic Acids Res. https://doi.org/10.1093/nar/gku1356 (2015).
Seto, E. & Yoshida, M. Erasers of histone acetylation: the histone deacetylase enzymes. Cold Spring Harb. Perspect. Biol. https://doi.org/10.1101/cshperspect.a018713 (2014).
Wang, W. Y. et al. Interaction of FUS and HDAC1 regulates DNA damage response and repair in neurons. Nat. Neurosci. https://doi.org/10.1038/nn.3514 (2013).
Miller, K. M. et al. Human HDAC1 and HDAC2 function in the DNA-damage response to promote DNA nonhomologous end-joining. Nat. Struct. Mol. Biol. https://doi.org/10.1038/nsmb.1899 (2010).
David, S. S., O’Shea, V. L. & Kundu, S. Base-excision repair of oxidative DNA damage. Nature https://doi.org/10.1038/nature05978 (2007).
Oakley, H. et al. Intraneuronal β-amyloid aggregates, neurodegeneration, and neuron loss in transgenic mice. J. Neurosci. https://doi.org/10.1523/JNEUROSCI.1202-06.2006 (2006).
Lagger, G. et al. Essential function of histone deacetylase 1 in proliferation control and CDK inhibitor repression. EMBO J. https://doi.org/10.1093/emboj/21.11.2672 (1999).
Montgomery, R. L. et al. Histone deacetylases 1 and 2 redundantly regulate cardiac morphogenesis, growth, and contractility. Genes Dev. https://doi.org/10.1101/gad.1563807 (2007).
Tronche, F. et al. Disruption of the glucocorticoid receptor gene in the nervous system results in reduced anxiety. Nat. Genet. https://doi.org/10.1038/12703 (1999).
VanGuilder, H. D. et al. Concurrent hippocampal induction of MHC II pathway components and glial activation with advanced aging is not correlated with cognitive impairment. J. Neuroinflamm. https://doi.org/10.1186/1742-2094-8-138 (2011).
Pao, P. C., Penney, J. & Tsai, L. H. Examining the role of HDACs in DNA double-strand break repair in neurons. Methods Mol. Biol. https://doi.org/10.1007/978-1-4939-9434-2_13 (2019).
Curzon, P., Rustay, N. R. & Browman, K. E. Cued and contextual fear conditioning for rodents. Methods Behav. Anal. Neurosci. https://doi.org/10.1037/0735-7036.115.1.53 (2009).
Vorhees, C. V. & Williams, M. T. Morris water maze: procedures for assessing spatial and related forms of learning and memory. Nat. Protoc. https://doi.org/10.1038/nprot.2006.116 (2006).
Bergado, J. A. & Almaguer, W. Aging and synaptic plasticity: a review. Neural Plast. https://doi.org/10.1155/NP.2002.217 (2002).
Jepsen, K. & Rosenfeld, M. G. Biological roles and mechanistic actions of co-repressor complexes. J. Cell Sci. https://doi.org/10.1016/0968-0004(96)30009-1 (2002).
Subramanian, A. et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. https://doi.org/10.1073/pnas.0506580102 (2005).
Mootha, V. K. et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat. Genet. https://doi.org/10.1038/ng1180 (2003).
He, L., Vasiliou, K. & Nebert, D. W. Analysis and update of the human solute carrier (SLC) gene superfamily. Hum. Genomics. https://doi.org/10.1186/1479-7364-3-2-195 (2009).
Kurosu, H. et al. Suppression of Aging in Mice by. Science. https://doi.org/10.1126/science.1112766 (2005).
Kuro-o, M. et al. Mutation of the mouse klotho gene leads to a syndrome resembling ageing. Nature. https://doi.org/10.1038/36285 (1997).
Nagai, T. et al. Cognition impairment in the genetic model of aging klotho gene mutant mice: a role of oxidative stress. FASEB J. https://doi.org/10.1096/fj.02-0448fje (2003).
Giese, K. P. & Mizuno, K. The roles of protein kinases in learning and memory. Learning and Memory. https://doi.org/10.1101/lm.028449.112 (2013).
Brehme, M. et al. A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. Cell Rep. https://doi.org/10.1016/j.celrep.2014.09.042 (2014).
Uttara, B., Singh, A., Zamboni, P. & Mahajan, R. Oxidative Stress and Neurodegenerative Diseases: A Review of Upstream and Downstream Antioxidant Therapeutic Options. Curr. Neuropharmacol. https://doi.org/10.2174/157015909787602823 (2009).
Heinz, S. et al. Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities. Mol. Cell. https://doi.org/10.1016/j.molcel.2010.05.004 (2010).
Cadet, J. & Richard Wagner, J. DNA base damage by reactive oxygen species, oxidizing agents, and UV radiation. Cold Spring Harb. Perspect. Biol. https://doi.org/10.1101/cshperspect.a012559 (2013).
Hamilton, M. L. et al. Does oxidative damage to DNA increase with age? Proc. Natl. Acad. Sci. https://doi.org/10.1073/pnas.171202698 (2001).
Ghosh, R. & Mitchell, D. L. Effect of oxidative DNA damage in promoter elements on transcription factor binding. Nucleic Acids Res. https://doi.org/10.1093/nar/27.15.3213 (1999).
Moore, S. P. G., Kruchten, J., Toomire, K. J. & Strauss, P. R. Transcription factors and DNA repair enzymes compete for damaged promoter sites. J. Biol. Chem. https://doi.org/10.1074/jbc.M115.672733 (2016).
Du, W. et al. The FA pathway counteracts oxidative stress through selective protection of antioxidant defense gene promoters. Blood https://doi.org/10.1182/blood-2011-09-381970 (2012).
Collins, A R. The comet assay for DNA damage and repair: principles, applications, and limitations. Mol. Biotechnol. https://doi.org/10.1385/MB:26:3:249 (2004).
Bhakat, K. K., Mokkapati, S. K., Boldogh, I., Hazra, T. K. & Mitra, S. Acetylation of human 8-oxoguanine-DNA glycosylase by p300 and its role in 8-oxoguanine repair in vivo. Mol. Cell. Biol. https://doi.org/10.1128/MCB.26.5.1654-1665.2006 (2006).
Hill, J. W. Stimulation of human 8-oxoguanine-DNA glycosylase by AP-endonuclease: potential coordination of the initial steps in base excision repair. Nucleic Acids Res. https://doi.org/10.1093/nar/29.2.430 (2001).
Jacobs, A. L. & Schär, P. DNA glycosylases: in DNA repair and beyond. Chromosoma https://doi.org/10.1007/s00412-011-0347-4 (2012).
Ballal, R., Cheema, A., Ahmad, W., Rosen, E. M. & Saha, T. Fluorescent oligonucleotides can serve as suitable alternatives to radiolabeled oligonucleotides. J. Biomol. Technol. 20, 190–194 (2009).
Gabbita, S. P., Lovell, M. A. & Markesbery, W. R. Increased nuclear DNA oxidation in the brain in Alzheimer’s disease. J. Neurochem. https://doi.org/10.1046/j.1471-4159.1998.71052034.x (2002).
Patnaik, D. et al. Exifone is a potent HDAC1 activator with neuroprotective activity in human neuronal models of neurodegeneration. Preprint at https://doi.org/10.1101/2020.03.02.973636v1 (2020).
Porsolt, R. D., Lenègre, A., Avril, I. & Doumont, G. Antagonism by exifone, a new cognitive enhancing agent, of the amnesias induced by four benzodiazepines in mice. Psychopharmacology (Berl) https://doi.org/10.1007/BF00181936 (1988).
Allain, H. et al. Randomized, double‐blind trial of exifone versus cognitive problems in Parkinson’s disease. Fund. Clin. Pharmacol. https://doi.org/10.1111/j.1472-8206.1988.tb00615.x (1988).
Porsolt, R. D., Lenègre, A., Avril, I., Stéru, L. & Doumont, G. The effects of exifone, a new agent for senile memory disorder, on two models of memory in the mouse. Pharmacol. Biochem. Behav. https://doi.org/10.1016/0091-3057(87)90567-3 (1987).
Piette, F. et al. Effets de I'exifone sur les troubles mnesiques, le comportement et al dépendance de malades atteints de démence sénile de type Alzheimer. Rev. Gériatr 11, 375–378 (1986).
Chan, K. Y. et al. Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems. Nat. Neurosci. https://doi.org/10.1038/nn.4593 (2017).
Phatnani, H. & Maniatis, T. Astrocytes in neurodegenerative disease. Cold Spring Harb. Perspect. Biol. https://doi.org/10.1101/cshperspect.a020628 (2015).
Santello, M., Toni, N. & Volterra, A. Astrocyte function from information processing to cognition and cognitive impairment. Nat. Neurosci. https://doi.org/10.1038/s41593-018-0325-8 (2019).
van Deijk, A. L. F. et al. Astrocyte lipid metabolism is critical for synapse development and function in vivo. Glia https://doi.org/10.1002/glia.23120 (2017).
Boisvert, M. M., Erikson, G. A., Shokhirev, M. N. & Allen, N. J. The aging astrocyte transcriptome from multiple regions of the mouse brain. Cell Rep. https://doi.org/10.1016/j.celrep.2017.12.039 (2018).
Tubbs, A. & Nussenzweig, A. Endogenous DNA damage as a source of genomic instability in cancer. Cell https://doi.org/10.1016/j.cell.2017.01.002 (2017).
Zhang, Q. et al. Integrated proteomics and network analysis identifies protein hubs and network alterations in Alzheimer’s disease. Acta Neuropathol. Commun. https://doi.org/10.1186/s40478-018-0524-2 (2018).
French, L., Ma, T. Z., Oh, H., Tseng, G. C. & Sibille, E. Age-related gene expression in the frontal cortex suggests synaptic function changes in specific inhibitory neuron subtypes. Front. Aging Neurosci. https://doi.org/10.3389/fnagi.2017.00162 (2017).
Vitvitsky, V. M., Garg, S. K., Keep, R. F., Albin, R. L. & Banerjee, R. Na+ and K+ ion imbalances in Alzheimer’s disease. Biochim. Biophys. Acta https://doi.org/10.1016/j.bbadis.2012.07.004 (2012).
Canter, R. G., Penney, J. & Tsai, L. H. The road to restoring neural circuits for the treatment of Alzheimer’s disease. Nature https://doi.org/10.1038/nature20412 (2016).
Krokan, H. E. & Bjørås, M. Base excision repair. Cold Spring Harb. Perspect. Biol. https://doi.org/10.1101/cshperspect.a012583 (2013).
Takao, M. et al. A back-up glycosylase in Nth1 knock-out mice is a functional Nei (endonuclease VIII) homologue. J. Biol. Chem. https://doi.org/10.1074/jbc.M206884200 (2002).
Cheng, Y. et al. Interaction of Sirt3 with OGG1 contributes to repair of mitochondrial DNA and protects from apoptotic cell death under oxidative stress. Cell Death Dis. https://doi.org/10.1038/cddis.2013.254 (2013).
Shah, A. et al. Defective base excision repair of oxidative DNA damage in vascular smooth muscle cells promotes atherosclerosis. Circulation https://doi.org/10.1161/CIRCULATIONAHA.117.033249 (2018).
We thank E.N. Olson (University of Texas Southwestern Medical Center) for providing Hdac1f/f mice. We also thank E. McNamara and M. Taylor for mouse colony maintenance; BioMicro Center at MIT for library preparation of RNA-seq; R. Madabhushi, C.-Y. Wang and members of Tsai lab for discussion and valuable comments on manuscript. S.J.H. received funding from an Alzheimer’s Association New Investigator Research Grant and Stuart & Suzanne Steele MGH Research Scholars Program. This work was supported by NIA Grant (AG046174), NINDS Grant (NS102730), and Glenn Foundation Award for research in biological mechanisms of aging to L.-H.T.
S.J.H. is a member of the scientific advisory board of Psy Therapeutics and Frequency Therapeutics neither of whom were involved in the present study. L.-H.T. and S.J.H. are also co-founders and members of Scientific Advisory Board of Souvien Therapeutics. L.-H.T., S.J.H., P.-C.P., D.P. and L.Pan have licensed intellectual property related to HDAC1 activators. The remaining authors declare no competing interests.
Peer review information Nature Communications thanks J. Pablo Radicella and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Pao, PC., Patnaik, D., Watson, L.A. et al. HDAC1 modulates OGG1-initiated oxidative DNA damage repair in the aging brain and Alzheimer’s disease. Nat Commun 11, 2484 (2020). https://doi.org/10.1038/s41467-020-16361-y
Fluoxetine regulates eEF2 activity (phosphorylation) via HDAC1 inhibitory mechanism in an LPS-induced mouse model of depression
Journal of Neuroinflammation (2021)
Oxidative stress and impaired oligodendrocyte precursor cell differentiation in neurological disorders
Cellular and Molecular Life Sciences (2021)
Towards resolving the enigma of the dichotomy of resveratrol: cis- and trans-resveratrol have opposite effects on TyrRS-regulated PARP1 activation