Aging cell

The Longevity-Linked APOE2 Gene Supports DNA Signals That Help Human Neurons Resist Aging

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Abstract

The APOE2 allele is linked to exceptional longevity and reduced risk of Alzheimer's disease.

  • APOE2 carriers exhibit lower levels of DNA damage in GABAergic neurons compared to those with APOE4.
  • APOE4 GABAergic neurons display increased expression of repetitive ribosomal RNA, which is linked to DNA damage and cellular aging.
  • Single-cell RNA sequencing indicates APOE4-specific gene expression patterns associated with Alzheimer's disease.
  • APOE2 excitatory neurons show greater resistance to cellular aging and DNA damage compared to APOE3 and APOE4 neurons.
  • Human APOE2-targeted replacement mice demonstrate less nucleolar enlargement and higher levels of specific nuclear proteins compared to APOE4 mice.

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Introduction

Major challenges remain in understanding the biological basis of human longevity and identifying strategies to improve healthspan. Although environmental factors influence aging, healthy aging has a significant heritable component. Among the best‐validated longevity‐associated genes is apolipoprotein E2 (APOE2). A genome‐wide association study (GWAS) involving 2118 nonagenarian siblings across 11 European countries identified four chromosomal regions associated with familial longevity, including the APOE gene locus (Beekman et al. 2013). Subsequent studies in centenarians and semi‐centenarians from Spain, Italy, and Japan revealed a consistent positive association between the APOE ε2 allele and exceptional longevity, particularly in the Italian and Japanese cohorts. In the Italian study, the APOE ε2 allele was also associated with healthier aging (Garatachea et al. 2014). A larger cohort study confirmed that carrying a single copy of APOE ε2 significantly increased the likelihood of achieving advanced age (Sebastiani et al. 2019). In contrast, all studies agreed that the APOE ε4 allele substantially reduces the chance of achieving exceptional longevity across various ethnic and geographic groups while also increasing mortality risk (Beekman et al. 2013; Sebastiani et al. 2019; Shinohara et al. 2020). Despite strong epidemiological evidence linking APOE2 to both longevity and reduced AD risk, the cellular mechanisms by which APOE2 promotes neuronal resilience remain poorly defined.

Aging is the main risk factor for neurodegenerative diseases, including Alzheimer's disease (AD)—the leading cause of dementia and a major contributor to mortality in the elderly. Although several genetic risk factors for late‐onset AD have been identified, APOE ε4 remains the strongest, increasing AD risk by ~fourfold with one allele and ~14‐fold with two alleles relative to APOE ε3 homozygosity (Bertram and Tanzi 2009; Kamboh et al. 2012). In addition, APOE4 is associated with earlier onset, elevated amyloid plaque burden, and enhanced tau phosphorylation in both human and animal studies (Arnaud et al. 2022; Blanchard et al. 2020; Seo et al. 2023; Shi et al. 2017). Conversely, homozygous APOE2 carriers exhibit markedly reduced AD incidence, supporting a dual role for APOE2 in promoting longevity and offering neuroprotection.

APOE is a plasma glycoprotein critical for lipid transport and metabolism (Mahley and Rall Jr. 2000). It facilitates the binding and cellular internalization of lipoprotein complexes. In the CNS, it serves as the principal cholesterol carrier between astrocytes and neurons, supporting energy supply, synaptic remodeling, and neuronal repair (Petegnief et al. 2001). APOE exists in three isoforms—APOE2 (Cys112, Cys158), APOE3 (Cys112, Arg158), and APOE4 (Arg112, Arg158)—each differing by two amino acids. These small differences result in distinct receptor binding profiles and lipid processing, contributing to isoform‐specific roles in aging and disease (Ang et al. 2008). While astrocytes are the main producers of APOE in the CNS, neurons also express APOE under conditions of stress and aging (Blumenfeld et al. 2024; Koutsodendris et al. 2023). Furthermore, neuronal and astrocytic expression of APOE4 may independently drive AD pathogenesis, possibly through mechanisms such as increased neuronal hyperactivity, loss of inhibitory tone, and inflammation (Nuriel et al. 2017; Zalocusky et al. 2021).

Aging leads to the gradual accumulation of senescent cells that disrupt tissue homeostasis and drive age‐related disorders. Although neurons are post‐mitotic, they are susceptible to stressors that trigger a neuronal senescence‐like phenotype (e.g., DNA damage, mitochondrial dysfunction, and proteostasis failure). Despite the central role of senescence in aging and AD, direct links between APOE isoforms and neuronal senescence have not been established. A recent study using human induced pluripotent (iPSC)‐derived neurons found that APOE4 promotes synaptic gene dysregulation, increasing synapse number and Aβ42 secretion compared to isogenic APOE3 neurons (Lin et al. 2018).

Given this background, we sought to evaluate the contribution of the APOE genotype to neuronal aging and vulnerability. Using bulk and single‐cell RNA‐sequencing (RNA‐seq) of iPSC‐derived GABAergic neurons, we identified genotype‐dependent differences in gene expression and DNA damage pathways. Notably, APOE2 GABAergic neurons showed upregulated DNA repair signaling, and APOE4 neurons exhibited increased synaptic gene expression, DNA damage, and altered cell motility. In a separate model of Ngn2‐induced glutamatergic neurons, APOE2 neurons resisted genotoxic stress and were less prone to acquiring a senescent‐like phenotype than isogenic APOE3 and APOE4 neurons. Notably, recombinant APOE2 conferred APOE4 glutamatergic neurons protection against irradiation‐induced DNA damage. Similarly, analysis of hippocampal tissue of human APOE knock‐in mice demonstrated that APOE2 mice displayed features of healthier brain aging relative to APOE3 and APOE4 mice. These findings suggest a protective role of APOE2 in maintaining neuronal integrity through enhanced DNA repair and senescence resistance. These key mechanisms may underlie APOE2's association with longevity and reduced AD risk.

Results

Neurite Network and Movement Are Greater inThanNeurons APOE2 GABAergic APOE4

To determine how APOE2 contributes to neuronal resilience in inhibitory neurons, we differentiated human female isogenic iPSCs carrying homozygous APOE2 or APOE4 alleles into GABAergic neurons. Because interneuron dysfunction is implicated early in AD and APOE4 expression in interneurons suggests vulnerability to synaptic deficits and connectivity, we focused on this neuronal subtype vulnerability in neuronal connectivity (Knoferle et al. 2014; Najm et al. 2019). Immunocytochemistry confirmed robust expression of VGAT (vesicular inhibitory amino acid transporter) and GABA (γ‐aminobutyric acid)—markers of neurotransmitter synthesis and vesicular transport (Chaudhry et al. 1998)—as well as the neuronal markers CALBINDIN and NESTIN (Kojetin et al. 2006; Steinert et al. 1999) (Figure 1a). In agreement with previous reports (Brecht et al. 2004; Knoferle et al. 2014; Najm et al. 2019), APOE4 neurons exhibited a pronounced loss of GABAergic neurite network density, relative to APOE2 neurons, over a 21‐day culture period (Figure 1b). Quantitative live‐cell imaging revealed a significantly decreased neurite complexity in APOE4 neurons at 300, 450, and 600 h of differentiation. Beyond neurite architecture, genotype‐specific alterations in neuronal motility were observed. Across 21 days of live imaging, APOE4 neurons displayed increased mean curvilinear velocity but reduced path velocity, along with greater wobble amplitude compared to APOE2 neurons (Figure 1c, Figure S1a). These findings reveal that APOE2 and APOE4 GABAergic neurons exhibit distinct cellular phenotypes, highlighting divergent effects of APOE genotype on inhibitory neuron structure and dynamics.

neurons exhibit increased neurite network complexity and improved motility compared toneurons. (a) Representative immunocytochemistry images ofandGABAergic neurons stained with antibodies against VGAT (green), GABA (red), Calbindin (green), and Nestin (red). Nuclei were counterstained with DAPI (blue). Scale bar, 40 μm. (b) Representative neurite perimeter networks ofGABAergic neurons. Graph represents mean ± SEM,= 3. Two‐way repeated measures ANOVA followed by Tukey's post hoc correction. *< 0.05. Scale bar, 1000 μm. (c) Quantification of cell body motility parameters, including curvilinear velocity, average path velocity, and wobble. Bars represent mean ± SEM;= 60,‐test, **< 0.01, ****< 0.0001. APOE2 APOE4 APOE2 APOE4 APOE n p n t p p

neurons exhibit increased neurite network complexity and improved motility compared toneurons. (a) Representative immunocytochemistry images ofandGABAergic neurons stained with antibodies against VGAT (green), GABA (red), Calbindin (green), and Nestin (red). Nuclei were counterstained with DAPI (blue). Scale bar, 40 μm. (b) Representative neurite perimeter networks ofGABAergic neurons. Graph represents mean ± SEM,= 3. Two‐way repeated measures ANOVA followed by Tukey's post hoc correction. *< 0.05. Scale bar, 1000 μm. (c) Quantification of cell body motility parameters, including curvilinear velocity, average path velocity, and wobble. Bars represent mean ± SEM;= 60,‐test, **< 0.01, ****< 0.0001. APOE2 APOE4 APOE2 APOE4 APOE n p n t p p

Transcriptomic Analysis ofNeurons Has IncreasedDamage Response inNeurons GABAergic DNA APOE2

To understand the distinct cellular phenotypes and underlying molecular mechanisms of the APOE isoforms, we performed an unbiased transcriptomic analysis of APOE2 and APOE4 GABAergic neurons. Principal component analysis (PCA) showed that the APOE2 and APOE4 GABAergic neurons segregated into distinct clusters (Figure 2a). We identified 1403 differentially expressed genes (DEGs) between APOE2 and APOE4 neurons (Figure 2b,c, Table S1). APOE mRNA was expressed in both genotypes (Figure S1b).

Among the most upregulated genes (APOE2 vs. APOE4) were DSCAM (Down syndrome cell adhesion molecule), which regulates neuronal delamination (Arimura et al. 2020) and locomotion (Lemieux et al. 2021), and CSMD2 (CUB and Sushi multidomains 2), which is involved in the development and maintenance of dendrites, synapses, and brain structure (Gutierrez et al. 2019). Neuronatin (NNAT), a gene upregulated in AD and associated with spine loss and endoplasmic reticulum calcium overload (Zou et al. 2022), was among the most downregulated genes in APOE2 neurons. Contactin‐4 (CNTN4), involved in cell adhesion, APP function, and AD (Bamford et al. 2024), was also reduced in APOE2 neurons (Figure 2b,c).

Gene Ontology (GO) analysis revealed that genes upregulated in APOE2 neurons were significantly enriched for pathways related to DNA damage response and repair, whereas genes upregulated in the APOE4 genotype were enriched for pathways involving synaptic activity, axonogenesis, and ion channel function (Figure 2d; Table S1). Network analysis of the DNA repair signaling pathway identified BRCA1 (breast cancer 1), CDK1 (cyclin‐dependent kinase 1), PLK1 (polo‐like kinase 1), and TOP2A (DNA topoisomerase II alpha) as central hub genes in the APOE2 GABAergic neurons (Figure 2e). A heatmap of the DNA damage checkpoint genes further confirmed upregulation of factors involved in DNA repair, damage resistance, and genomic stability, including BLM (Bloom syndrome recQ‐like helicase), RAD9B (checkpoint clamp component B), BRCA1, and PLK1 (Figure 2f) in APOE2 GABAergic neurons. Together, these results indicate allele‐specific transcriptional programs, with APOE2 associated with enhanced DNA damage response mechanisms, and APOE4 neurons biased toward synaptic signaling programs.

Transcriptomic analysis of isogenicand4 GABAergic neurons reveals enrichment of DNA damage signaling pathways inneurons. (a) Bulk RNA‐seq analysis ofandGABAergic neurons. The principal component analysis (PCA) plot shows distinct clustering by genotype (= 3). (b) Volcano plot showing DEGs betweenand, highlighting the top 10 most upregulated and downregulated genes. (c) Heatmap of the top 20 upregulated and downregulated genes ranked by Logfold‐change,adj < 0.05. (d) Gene Ontology (GO) enrichment analysis of RNA‐seq data showing significantly enriched biological process (BP), molecular function (MF), and cellular component (CC) terms. (e) Key hub analysis showing genes associated with DNA damage checkpoint signaling, including,,, and.is involved in the repair of double‐strand breaks,is an effector kinase that responds to DNA damage,responds to DNA damage to maintain chromosome structure, andhelps regulate gene expression in relation to DNA damage and double‐stranded breaks. (f) Heatmap of 20 genes involved in DNA damage checkpoint signaling, comparing expression betweenandneurons. APOE2 APOE APOE2 APOE2 APOE4 n APOE2 APOE4 p BRCA1 CDK1 PLK1 TOP2A BRCA1 CDK1 PLK1 TOP2A APOE2 APOE4 2

Transcriptomic analysis of isogenicand4 GABAergic neurons reveals enrichment of DNA damage signaling pathways inneurons. (a) Bulk RNA‐seq analysis ofandGABAergic neurons. The principal component analysis (PCA) plot shows distinct clustering by genotype (= 3). (b) Volcano plot showing DEGs betweenand, highlighting the top 10 most upregulated and downregulated genes. (c) Heatmap of the top 20 upregulated and downregulated genes ranked by Logfold‐change,adj < 0.05. (d) Gene Ontology (GO) enrichment analysis of RNA‐seq data showing significantly enriched biological process (BP), molecular function (MF), and cellular component (CC) terms. (e) Key hub analysis showing genes associated with DNA damage checkpoint signaling, including,,, and.is involved in the repair of double‐strand breaks,is an effector kinase that responds to DNA damage,responds to DNA damage to maintain chromosome structure, andhelps regulate gene expression in relation to DNA damage and double‐stranded breaks. (f) Heatmap of 20 genes involved in DNA damage checkpoint signaling, comparing expression betweenandneurons. APOE2 APOE APOE2 APOE2 APOE4 n APOE2 APOE4 p BRCA1 CDK1 PLK1 TOP2A BRCA1 CDK1 PLK1 TOP2A APOE2 APOE4 2

Single‐Cell‐Seq Shows Unique Populations ofNeurons Relative to Genotype RNA GABAergic

To assess genotype‐specific transcriptional differences at single‐cell resolution, we performed 10x Genomics single‐cell RNA sequencing (scRNA‐seq) on GABAergic neurons derived from APOE2 and APOE4 backgrounds. After quality filtering (e.g., retaining cells with ≥ 300 features, > 1000 unique molecular identifiers (UMIs), and < 25% mitochondrial reads), transcriptomes from 7328 cells were retained for analysis. Using the Seurat analysis pipeline, we identified seven transcriptionally distinct clusters, with cells from both genotypes across all clusters (Figure 3a) (Satija et al. 2015).

Although both genotypes contributed to each cluster, their relative distributions differed. Clusters 1, 3, and 4 were enriched for APOE4 neurons, whereas clusters 0, 2, and 5 were more enriched in the APOE2 neurons (Figure 3b,c). Cluster‐specific marker genes were identified by differential expression analysis (Figure 3d) and visualized using violin plots (Figure S2a).

APOE2 neurons have higher expression of VGF (nerve growth factor inducible) in Cluster 0 than APOE4 neurons (Figure 3d). VGF is a neuropeptide precursor downregulated in AD (El Gaamouch et al. 2020), a top causal master regulator of AD networks (Beckmann et al. 2020), and overexpression of VGF rescues phenotypes in AD mice (El Gaamouch et al. 2020). Cluster1 (Figure 3e, Table S2, volcano plot E2/E4 comparison), enriched in APOE4 neurons, has higher expression of VCAN (Versican), TXNIP (thioredoxin‐interacting protein), and VSNL1 (Visinin‐like 1, aka VILIP‐1, HLP3). VSNL1 is a neuronal calcium sensor protein and is increased in the hippocampus and entorhinal cortex, which are affected early in AD (Groblewska et al. 2015; Halbgebauer et al. 2022; Tarawneh et al. 2015). Cluster 2, enriched for APOE2 neurons, has high expression of neuronal genes KCNMB2 (potassium calcium‐activated channel subfamily M regulatory beta) (Bentrop 2001) and IGSF21 (immunoglobulin superfamily member 21). IGSF21 is expressed on the postsynaptic membrane and stabilizes inhibitory synapses (Tanabe et al. 2017).

To understand functional divergence among clusters, we performed gene set enrichment analysis (Figure S2b). Core “hallmarks” shared across clusters included TNF‐alpha signaling, hypoxia, and inflammatory pathways. Interestingly, cluster 0, enriched in APOE2 neurons, showed specific enrichment for the mitotic spindle and in DNA damage response to UV light. Overall, pathway enrichment revealed a distribution of 24% inflammatory signaling and 19% DNA repair pathways (Figure S2c).

genotypes exhibit distinct transcriptional subpopulations of GABAergic neurons revealed by scRNA‐seq. (a) UMAP visualization displaying seven transcriptionally distinct clusters derived from 7328 high‐quality GABAergic neurons fromandgenotypes. (b) Proportional distribution ofandneurons across clusters, showing enrichment ofcells in clusters 1, 3, and 4, andneurons in clusters 0, 2, and 5. Cluster 6 is evenly distributed. Percentage cell distribution per cluster is shown. ****< 0.0001. (c) Pie charts showing cell type distribution within each genotype. (d) Cluster marker genes identifying the most representative genes for each neuronal cluster. (e, f) Volcano plots showing DEGs betweenandneurons within clusters 1 (‐enriched) and 2 (‐enriched). APOE APOE2 APOE4 APOE2 APOE4 APOE4 APOE2 p APOE2 APOE4 APOE4 APOE2

genotypes exhibit distinct transcriptional subpopulations of GABAergic neurons revealed by scRNA‐seq. (a) UMAP visualization displaying seven transcriptionally distinct clusters derived from 7328 high‐quality GABAergic neurons fromandgenotypes. (b) Proportional distribution ofandneurons across clusters, showing enrichment ofcells in clusters 1, 3, and 4, andneurons in clusters 0, 2, and 5. Cluster 6 is evenly distributed. Percentage cell distribution per cluster is shown. ****< 0.0001. (c) Pie charts showing cell type distribution within each genotype. (d) Cluster marker genes identifying the most representative genes for each neuronal cluster. (e, f) Volcano plots showing DEGs betweenandneurons within clusters 1 (‐enriched) and 2 (‐enriched). APOE APOE2 APOE4 APOE2 APOE4 APOE4 APOE2 p APOE2 APOE4 APOE4 APOE2

Neurons Are Resistant toDamage GABAergic APOE2 DNA

Given the strong transcriptomic signature of APOE2 GABAergic neurons enriched in DNA signaling, we assessed relevant phenotypes associated with DNA damage. Immunocytochemistry was performed on the isogenic APOE2 and APOE4 GABAergic neurons using the DNA‐damage repair‐associated protein p‐γH2AX (Figure 4a), which correlates with double‐stranded breaks and residual DNA damage (Ivashkevich et al. 2012; Paull et al. 2000; Sharma et al. 2012). p‐γH2AX staining was greater in APOE4 than in APOE2 GABAergic neurons (Figure 4b). To determine if the APOE4 neurons undergo increased DNA damage rather than just altered repair pathways, we performed the comet assay to analyze DNA breaks (Larson 2016; Olive and Banath 2006) (Figure 4c). We examined the tail DNA percent (percentage of tail DNA over DNA of the entire cell) and the olive tail moment of the comets. The APOE4 neurons had a greater percentage of DNA in their tails than APOE2 neurons. The olive tail moment value parameter, a composite parameter reflecting DNA migration distance and distribution, was also greater for APOE4 than for APOE2 (Figure 4d). Thus, more DNA damage was found in APOE4 than in APOE2 GABAergic neurons.

Aberrant expression of repetitive elements (e.g., retrotransposons) is a hallmark of aging and neurodegenerative diseases (De Cecco et al. 2019; Saleh et al. 2019). These repetitive elements are often associated with hot spots of DNA damage (Argueso et al. 2008). To determine if the APOE genotypes of GABAergic neurons changed the expression of repetitive elements, we used RepEnrich2 to quantify the repetitive elements in our RNA‐seq data. We also used DESeq2 to identify differentially expressed repetitive elements (Table S3) (Love et al. 2014). PCA of the repetitive elements showed that APOE2 and APOE4 GABAergic neurons were clustered separately. We analyzed the composition of the repetitive element landscape, based on class membership, which includes repetitive rRNA (ribosomal RNA), LINE, SINE, snRNA, and LTR elements (Figure 4e). APOE4 GABAergic neurons had greater rRNA expression and lower expression of SINE, LINE, and LTR elements (Figure 4e). Overall, our results suggest that APOE2 neurons are more resistant to DNA damage and do not exhibit the increased rRNA expression observed in APOE4 neurons. APOE4 neurons have greater rRNA expression, which has been associated with cellular senescence and nucleolar stress (Morlot et al. 2019).

GABAergic neurons are resilient to DNA damage and exhibit altered rRNA repetitive element composition compared toneurons. (a) Representative immunocytochemistry images showing p‐γH2AX (green), a marker of DNA damage, GABA (red), and DAPI (blue). Scale bar: 50 μm. (b) Quantification of p‐γH2AX puncta in GABAergic neurons. Bars represent mean ± SEM;= 3 biological samples, **< 0.01. Scale bar, 50 μm. (c) Alkaline comet assay assessing the level of DNA damage inandneurons. Representative images showing the comet tail indicative of DNA strand breaks. (d) Quantification of Olive tail moment and percentage of tail DNA. Values represented are the combined values from three biological replicates, each containing > 1000 analyzed cells per genotype. Scale bar, 200 μm. (e) Pie charts showing the proportional composition of repetitive element classes inandneurons. The comparative analysis highlights genotype‐dependent differences in LTR, rRNA, and SINE elements within the repetitive element landscape. APOE2 APOE4 n p APOE2 APOE4 APOE2 APOE4

GABAergic neurons are resilient to DNA damage and exhibit altered rRNA repetitive element composition compared toneurons. (a) Representative immunocytochemistry images showing p‐γH2AX (green), a marker of DNA damage, GABA (red), and DAPI (blue). Scale bar: 50 μm. (b) Quantification of p‐γH2AX puncta in GABAergic neurons. Bars represent mean ± SEM;= 3 biological samples, **< 0.01. Scale bar, 50 μm. (c) Alkaline comet assay assessing the level of DNA damage inandneurons. Representative images showing the comet tail indicative of DNA strand breaks. (d) Quantification of Olive tail moment and percentage of tail DNA. Values represented are the combined values from three biological replicates, each containing > 1000 analyzed cells per genotype. Scale bar, 200 μm. (e) Pie charts showing the proportional composition of repetitive element classes inandneurons. The comparative analysis highlights genotype‐dependent differences in LTR, rRNA, and SINE elements within the repetitive element landscape. APOE2 APOE4 n p APOE2 APOE4 APOE2 APOE4

Ngn2‐Induced Glutamatergic Neurons Have Smaller Nucleoli APOE2

APOE2 GABAergic neurons show upregulation of categories related to DNA repair and stability, suggesting enhanced genomic maintenance capacity and relative resistance to DNA damage. Moreover, these neurons resist an increase in repetitive elements, another hallmark of aging associated with cellular senescence. Therefore, we evaluated whether APOE2 might confer protection against cellular senescence and DNA damage induced by genotoxic stress using a second neuronal model—excitatory neurons—with all three human APOE genotypes. Using Cas9/CRISPR‐engineered isogenic male iPSCs with APOE alleles (APOE ε2/ε2, ε3/ε3, and ε4/ε4 genotypes), the iPSCs were differentiated into excitatory glutamatergic neurons using inducible expression of Neurogenin‐2 (Ngn‐2). After 28 days of differentiation, the cells expressed PSD95 (postsynaptic density protein‐95) and VGLUT1 (vesicular glutamate transporter 1), markers of mature glutamatergic neurons, as well as MAP2 (Microtubule‐associated protein 2), a pan neuronal marker expressed across all genotypes (Figure S3a). Neurons of all APOE genotypes expressed APOE as confirmed by immunocytochemistry and western blot analysis (Figure S3b,c). Subsequently, glutamatergic neurons were exposed to irradiation (10 Gy) or doxorubicin (200 nM) to evaluate key markers associated with DNA damage and cellular senescence (Figure 5a).

Long‐lived animals have decreased expression of rRNA and smaller nucleoli (Tiku et al. 2017), consistent with our previous observation of reduced rRNA levels in the APOE2 GABAergic neurons. The nucleolus is a nuclear subcompartment for rRNA synthesis and ribosomal subunit assembly and plays a crucial role in genome integrity, nuclear architecture, stress signaling, and cell‐cycle regulation. Reduced nucleolar size has been associated with longevity and metabolic health (Tiku et al. 2017). Therefore, we evaluated the effect of APOE isoforms on the nucleolar size by immunostaining against Nucleolin (NCL), a protein involved in the synthesis of rRNA. Strikingly, APOE2 and APOE3 glutamatergic neurons displayed significantly smaller nucleoli than APOE4 neurons under basal conditions and irradiation‐induced senescence (Figure 5b). Thus, the nucleolar size of APOE2 glutamatergic neurons aligns with a cellular feature associated with longevity and metabolic health.

Ngn2‐induced glutamatergic neurons derived from human iPSCs exhibit features associated with longevity and are resilient to both irradiation‐induced senescence and DNA damage compared toneurons. (a) Schematic representation of the differentiation of human isogenic iPSCs into glutamatergic neurons via Ngn2 induction. The differentiation process spans 28 days. Ngn2 neurons were exposed to either irradiation (10 Gy) or doxorubicin (200 nM) at day 18 of differentiation to induce cellular senescence. (b) Representative immunocytochemistry images for Nucleolin (red), a marker of the nucleolus, MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing nucleolar size. One‐way ANOVA followed by Tukey's post hoc test;= 4 biological samples per genotype, **< 0.01, ***< 0.001. (c, d) Immunocytochemistry for senescence‐associated markers p16 and CRYAB in Ngn2 neurons of all threegenotypes. (c) Representative images showing p16 (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing p16 mean intensity. One‐way ANOVA, followed by Tukey's post hoc test;= 4 biological samples per genotype, ****< 0.0001. (d) Representative images showing CRYAB (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing the percentage of CRYAB‐positive cells. One‐way ANOVA followed by Tukey's post hoc test;= 4 biological samples per genotype, *< 0.05. (e) Immunocytochemistry for DNA damage marker p‐γH2AX in Ngn2 neurons. Representative images show p‐γH2AX (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing the number of p‐γH2AX foci per nucleus. One‐way ANOVA, followed by Tukey's post hoc test;= 6 biological samples per genotype, *< 0.05, ****< 0.0001. (f, g) Immunocytochemistry for DNA damage response markers 53BP1 and p‐ATM in Ngn2 neurons. (f) Representative images showing 53BP1 (red), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing 53BP1 foci size. One‐way ANOVA followed by Tukey's post hoc test;= 6 biological samples per genotype, ****< 0.0001. (g) Representative images showing p‐ATM (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing p‐ATM foci size. One‐way ANOVA, followed by Tukey's post hoc test,= 6 biological samples per genotype, *< 0.05, ***< 0.001. (h) Representative western blot showing LAMIN A/C levels across thegenotypes in Ngn2 neurons, with β‐ACTIN as a loading control. Bar graphs represent the mean ± SEM. One‐way ANOVA followed by Tukey's post hoc test;= 3 biological samples per genotype, *< 0.05. APOE2 APOE4 n p p APOE n p n p n p p n p n p p APOE n p

Ngn2‐induced glutamatergic neurons derived from human iPSCs exhibit features associated with longevity and are resilient to both irradiation‐induced senescence and DNA damage compared toneurons. (a) Schematic representation of the differentiation of human isogenic iPSCs into glutamatergic neurons via Ngn2 induction. The differentiation process spans 28 days. Ngn2 neurons were exposed to either irradiation (10 Gy) or doxorubicin (200 nM) at day 18 of differentiation to induce cellular senescence. (b) Representative immunocytochemistry images for Nucleolin (red), a marker of the nucleolus, MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing nucleolar size. One‐way ANOVA followed by Tukey's post hoc test;= 4 biological samples per genotype, **< 0.01, ***< 0.001. (c, d) Immunocytochemistry for senescence‐associated markers p16 and CRYAB in Ngn2 neurons of all threegenotypes. (c) Representative images showing p16 (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing p16 mean intensity. One‐way ANOVA, followed by Tukey's post hoc test;= 4 biological samples per genotype, ****< 0.0001. (d) Representative images showing CRYAB (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing the percentage of CRYAB‐positive cells. One‐way ANOVA followed by Tukey's post hoc test;= 4 biological samples per genotype, *< 0.05. (e) Immunocytochemistry for DNA damage marker p‐γH2AX in Ngn2 neurons. Representative images show p‐γH2AX (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing the number of p‐γH2AX foci per nucleus. One‐way ANOVA, followed by Tukey's post hoc test;= 6 biological samples per genotype, *< 0.05, ****< 0.0001. (f, g) Immunocytochemistry for DNA damage response markers 53BP1 and p‐ATM in Ngn2 neurons. (f) Representative images showing 53BP1 (red), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing 53BP1 foci size. One‐way ANOVA followed by Tukey's post hoc test;= 6 biological samples per genotype, ****< 0.0001. (g) Representative images showing p‐ATM (green), MAP2 (violet), and DAPI (blue). Bar graphs represent the mean ± SEM showing p‐ATM foci size. One‐way ANOVA, followed by Tukey's post hoc test,= 6 biological samples per genotype, *< 0.05, ***< 0.001. (h) Representative western blot showing LAMIN A/C levels across thegenotypes in Ngn2 neurons, with β‐ACTIN as a loading control. Bar graphs represent the mean ± SEM. One‐way ANOVA followed by Tukey's post hoc test;= 3 biological samples per genotype, *< 0.05. APOE2 APOE4 n p p APOE n p n p n p p n p n p p APOE n p

Ngn2‐Induced Glutamatergic Neurons Are Resilient to Cellular Senescence APOE2

Cellular senescence, an important process in aging, is characterized by the upregulation of p16/CDKN2A and p21/CDKN1A, DNA damage response, nuclear enlargement, chromatin reorganization, and the expression of pro‐inflammatory factors. The morphological alterations of the nucleus can serve as a predictor of senescence (Heckenbach et al. 2022). Therefore, we evaluated the nuclear size of the APOE glutamatergic neurons. Following irradiation‐induced senescence, the nuclear size of glutamatergic neurons increased in all genotypes compared to control conditions. The nuclear size of APOE2 neurons was smaller than that of APOE4 (Figure S4a). To determine whether APOE isoforms are differentially susceptible to genotoxicity‐induced cellular senescence, we measured p16 expression. Irradiation significantly induced p16 in all genotypes compared to the control conditions. Notably, APOE4 neurons showed higher levels than APOE2 and APOE3 (Figure 5c).

We further assessed CRYAB (αB‐crystallin), a small heat shock protein, which is upregulated in senescent cells and can be used as a senolytic target (Limbad et al. 2022). Notably, APOE2 neurons displayed a lower percentage of CRYAB‐positive cells than APOE4 under basal conditions. Likewise, CRYAB‐positive cells increased after irradiation‐induced senescence in all genotypes, compared to controls, but APOE4 neurons contained a higher proportion of CRYAB‐positive cells than APOE2 and APOE3. Interestingly, more CRYAB‐positive cells were in APOE4 neurons under basal conditions than in APOE2 neurons (Figure 5d). Altogether, these results suggest that APOE2 glutamatergic neurons are resilient to genotoxicity‐induced senescence and that APOE4 neurons are more prone to acquire a senescent‐associated phenotype.

Ngn2‐Induced Glutamatergic Neurons Are Resistant toDamage APOE2 DNA

As described above, APOE2 GABAergic neurons exhibited upregulation of pathways related to DNA damage response and repair. We therefore evaluated whether APOE2 confers protection against DNA damage and resistance to genotoxicity‐induced senescence following irradiation or doxorubicin treatment. DNA damage accumulates with age due to increased reactive oxygen species production and declining DNA repair, leading to DNA damage response and cellular senescence. Irradiation significantly increased p‐γH2AX, 53BP1, and p‐ATM across all genotypes, compared to control conditions, consistent with activation of DNA damage response, a key driver of senescence. Notably, APOE4 glutamatergic neurons exhibited a higher number of p‐γH2AX foci per nucleus, as well as larger foci, compared to APOE2 under irradiation‐induced senescence (Figure 5e). Similarly, 53BP1 and p‐ATM analysis revealed that following irradiation, APOE4 neurons had increased foci size compared to APOE2 and APOE3 neurons (Figure 5f,g). The statistically significant change in p‐ATM foci size during irradiation was more pronounced in APOE3 and APOE4 neurons relative to APOE2 neurons. Interestingly, the basal levels of 53BP1 mean intensity were APOE allele‐dependent (Figure S4b).

Correspondingly, in doxorubicin‐induced cellular senescence, APOE2 neurons had lower levels of p16 than APOE3 and APOE4 neurons (Figure S5a). Doxorubicin significantly increased p‐γH2AX, 53BP1, and p‐ATM across all genotypes compared to control conditions. Moreover, APOE4 neurons displayed greater p‐γH2AX numbers of foci per nucleus, larger 53BP1, and p‐ATM than APOE3 and APOE2 (Figures S5b and S6a,b). Collectively, these findings indicate APOE2 glutamatergic neurons are resilient to DNA damage after genotoxic stress.

To evaluate early DNA damage response dynamics, we performed a time course analysis in APOE neural stem cells (NSCs). Consistent with the genotype‐specific response to DNA damage observed in differentiated neurons, p‐γH2AX, p‐ATM, and 53BP1 resolved more rapidly in APOE2 NSCs compared to APOE4 NSCs (Figure S7). These results suggest that APOE2 promotes a more efficient DNA damage response.

Given that DNA damage can lead to epigenomic alterations and nuclear instability, we examined the nuclear lamina integrity and heterochromatin status. Loss of nuclear lamina components and heterochromatin is associated with genomic instability and aberrant transcription during cellular senescence. Therefore, we evaluated LAMIN A/C, a major component of the nuclear lamina, as well as H3K9me3, a heterochromatin‐associated histone modification linked to chromatin organization and cellular senescence. Under basal conditions, APOE3 and APOE4 neurons displayed lower LAMIN A/C levels compared to APOE2 neurons (Figure 5h). Notably, APOE2 neurons were resistant to irradiation‐induced downregulation of LAMIN A/C observed in APOE3 and APOE4 neurons (Figure 5h). In contrast, APOE4 neurons exhibited higher basal H3K9me3 levels compared to APOE2 and APOE3 neurons. Notably, H3K9me3 levels decreased in APOE3 and APOE4 neurons relative to control conditions but not in APOE2 neurons (Figure S4c). These findings may suggest that APOE2 glutamatergic neurons maintain greater nuclear and chromatin stability following genotoxic stress.

RecombinantConfers Protection Against Irradiation‐InducedDamage APOE2 DNA

As described above, APOE2 GABAergic neurons exhibited reduced DNA damage, and APOE2 glutamatergic neurons were more resilient to genotoxic‐induced DNA damage. We therefore tested whether recombinant APOE2 treatment could protect APOE4 glutamatergic neurons from irradiation‐induced DNA damage. Recombinant APOE2 treatment reduced p‐γH2AX and 53BP1 number of foci per nucleus and foci size following irradiation (Figure 6a). These results indicated that APOE2 attenuates irradiation‐induced DNA damage signaling in APOE4 neurons.

Recombinant APOE2 confers protection against irradiation‐induced DNA damage, and the hippocampus of agedknock‐in mice displays molecular features associated with longevity. (a) Immunocytochemistry for DNA damage and repair markers p‐γH2AX and 53BP1 in Ngn2 neurons of all threegenotypes following recombinant APOE2 treatment. Representative images show p‐γH2AX (violet), MAP2 (green), and DAPI (blue). Bar graphs represent the mean ± SEM showing p‐γH2AX and 53BP1 number of foci per nucleus and the size of foci. One‐way ANOVA followed by Tukey's post hoc test;= 3, *< 0.05, **< 0.01, ***< 0.001, ****< 0.0001. (b) Immunohistochemistry for markers associated with nuclear homeostasis, including Nucleolin, Lamin A/C, and H3K9me3, in the hippocampus of agedknock‐in mice. Representative images show Nucleolin (red) and DAPI (blue); Lamin A/C (violet) and DAPI (blue); and H3K9me3 (red) and DAPI (blue) acrossgenotypes. Violin plots show nucleolar size, Lamin A/C levels, and H3K9me3 levels. One‐way ANOVA followed by Tukey's post hoc test;= 3–4 mice per genotype at 16 months of age, *< 0.05, **< 0.01, ***< 0.001, ****< 0.0001. APOE2 APOE n p p p p APOE APOE n p p p p

Recombinant APOE2 confers protection against irradiation‐induced DNA damage, and the hippocampus of agedknock‐in mice displays molecular features associated with longevity. (a) Immunocytochemistry for DNA damage and repair markers p‐γH2AX and 53BP1 in Ngn2 neurons of all threegenotypes following recombinant APOE2 treatment. Representative images show p‐γH2AX (violet), MAP2 (green), and DAPI (blue). Bar graphs represent the mean ± SEM showing p‐γH2AX and 53BP1 number of foci per nucleus and the size of foci. One‐way ANOVA followed by Tukey's post hoc test;= 3, *< 0.05, **< 0.01, ***< 0.001, ****< 0.0001. (b) Immunohistochemistry for markers associated with nuclear homeostasis, including Nucleolin, Lamin A/C, and H3K9me3, in the hippocampus of agedknock‐in mice. Representative images show Nucleolin (red) and DAPI (blue); Lamin A/C (violet) and DAPI (blue); and H3K9me3 (red) and DAPI (blue) acrossgenotypes. Violin plots show nucleolar size, Lamin A/C levels, and H3K9me3 levels. One‐way ANOVA followed by Tukey's post hoc test;= 3–4 mice per genotype at 16 months of age, *< 0.05, **< 0.01, ***< 0.001, ****< 0.0001. APOE2 APOE n p p p p APOE APOE n p p p p

Validation of Aging‐Associated Molecular Features inKnock‐In Mice APOE

Next, we evaluated age‐related markers in brain tissue from 16‐month‐old APOE knock‐in mice. We focused on the dentate gyrus, a region critically involved in learning and memory and vulnerable in AD. APOE2 and APOE3 knock‐in mice displayed smaller nucleoli compared to APOE4 mice (Figure 6b), consistent with the association between nucleolar enlargement and aging. We next assessed the nuclear lamina integrity by measuring Lamin A/C levels. APOE2 knock‐in mice had higher levels of Lamin A/C than APOE3 and APOE4 mice (Figure 6b), consistent with preserved nuclear structure. We also evaluated H3K9me3 levels, a heterochromatin‐associated histone modification linked to chromatin organization and aging. Aged APOE4 and APOE3 mice exhibited reduced levels of H3K9me3 in the dentate gyrus compared to APOE2 mice (Figure 6b). In addition, we quantified nuclear Hmgb1 levels, as Hmgb1 translocation to the cytosol is associated with senescence. Aged APOE2 mice retained higher nuclear Hmgb1 levels compared to APOE3 and APOE4 mice (Figure S8a). Finally, using publicly available RNA‐seq data from 18‐month‐old APOE mice, we performed enrichment analysis for the Hallmarks of Aging gene sets (Labuza et al. 2025). Gene sets related to cellular senescence were significantly enriched in APOE4 compared to APOE2 mice (Figure S8b). Collectively, these findings support the conclusion that APOE2 is associated with molecular features indicative of healthier aging in vivo.

Discussion

The APOE genotype is the strongest genetic modifier of Alzheimer's disease risk and is also associated with differences in lifespan; however, the molecular mechanisms underlying these divergent aging trajectories remain poorly understood. In this study, we demonstrate that APOE alleles differentially regulate neuronal genome maintenance and susceptibility to senescence. Across human isogenic iPSC‐derived GABAergic and glutamatergic neurons, APOE2 was associated with reduced endogenous DNA damage, enhanced transcriptional enrichment of DNA repair pathways, and more efficient resolution of genotoxic stress, whereas APOE4 neurons exhibited persistent DNA damage signaling and elevated expression of rRNA repetitive elements. Consistent with these transcriptional and functional differences, APOE2 neurons displayed smaller nucleoli and preserved nuclear lamina integrity—features linked to longevity and genomic stability—while APOE4 neurons showed enlarged nucleoli and increased senescence‐associated markers. Importantly, these anti‐aging molecular features were recapitulated in the hippocampus of aged APOE2 knock‐in mice, supporting the in vivo relevance of our findings. Together, these results suggest that APOE genotype shapes neuronal aging through differential regulation of DNA damage responses and nuclear homeostasis.

Evidence consistently links the APOE4 allele to a wide range of pathological mechanisms in AD. This genotype has been associated with increased amyloid‐β aggregation, impaired amyloid‐β clearance, neuroinflammation, synaptic dysfunction, tau pathology, and mitochondrial impairment (Kim et al. 2009). Notably, in the context of AD, selective removal of neuronal APOE4 expression significantly reduced tau accumulation, gliosis, neurodegeneration, and myelin deficits (Koutsodendris et al. 2023). In contrast, only a few studies focused on the role of the APOE2 isoform in neurons. In primary hippocampal neurons, treatment with APOE2 or APOE3 protein increased the extent and complexity of the dendritic arbor and enhanced the frequency of mature spines (Diaz et al. 2022). In this study, we found that APOE2 increases neuronal outgrowth and mobility in GABAergic neurons.

Aging and neurodegenerative diseases are marked by genomic instability in neurons, including dysregulation of repetitive elements expression and activity (Guo et al. 2018). In senescent human mesenchymal progenitor cells, the accumulation of APOE drives increased expression of repetitive elements (Zhao et al. 2022). Additionally, rRNA production increases with age, leading to enhanced ribosome biogenesis, increased protein translation, and intracellular energy depletion (Buchwalter and Hetzer 2017). In our study, analysis of repetitive elements in GABAergic neurons revealed increased rRNA expression in APOE4 genotype under non‐stress conditions, suggesting that APOE alleles differentially influence nucleolar activity.

The nucleolus is a subnuclear structure where rRNA is synthesized and assembled into ribosomal subunits. During aging, the nucleolus undergoes enlargement, a change linked to several detrimental mechanisms, including increased ribosome biogenesis, DNA damage, and genomic instability. In contrast, multiple lifespan‐extending interventions reduce nucleolar size across different species (Tiku et al. 2017). In this study, we observed reduced nucleolar size in APOE2 and APOE3 glutamatergic neurons under basal conditions. Conversely, APOE4 neurons exhibited enlarged nucleoli, correlating with the dysregulation of rRNA expression in APOE4 GABAergic neurons. These findings suggest that APOE plays a critical role in regulating genomic stability and consequently, nucleolar activity. In progeria syndrome and during cellular senescence, disruption of nuclear envelope components triggers global heterochromatin environment dysregulation, including repressive marks normally found on inactive rDNA (Buchwalter and Hetzer 2017; Freund et al. 2012). This, in turn, allows RNA polymerase I hyperactivity, resulting in nucleolar enlargement and enhanced ribosome biogenesis. Based on these insights, we hypothesized that the APOE2 isoform may contribute to the maintenance of nuclear envelope integrity, thereby preserving genomic stability and preventing nucleolar stress, whereas the APOE4 isoform may fail to maintain nuclear homeostasis. Future experiments are required to fully test this hypothesis and determine the precise molecular mechanism underlying this effect.

During aging, senescent cells gradually accumulate, contributing to tissue dysfunction and the onset of age‐related disorders, including AD (Lopez‐Otin et al. 2023). In senescent human mesenchymal progenitor cells, increased APOE expression disrupts nuclear envelope homeostasis and heterochromatin organization. This occurs through the degradation of nuclear lamina and heterochromatin‐associated proteins via autophagy (Zhao et al. 2022). However, the effects of APOE alleles on neuronal senescence remain unknown. Here we demonstrate that the APOE2‐expressing glutamatergic neurons are resistant to stress‐induced cellular senescence, showing lower levels of p16 and CRYAB than APOE4 neurons. Moreover, under basal conditions, APOE4 glutamatergic neurons showed higher levels of p16 and CRYAB, suggesting that they are prone to acquire the senescent phenotype. Therefore, these findings reveal a novel mechanism by which APOE2 might promote exceptional longevity and protection against AD.

DNA damage affects all aspects of the aging phenotype and is recognized as a hallmark of cellular senescence (d'Adda di Fagagna 2008; Schumacher et al. 2021). It leads to various molecular consequences, including genome instability, telomere dysfunction, epigenetic alterations, among others (Schumacher et al. 2021). In AD, DNA damage and, particularly, double‐strand breaks, actively contribute to disease pathogenesis. Although previous studies have reported no significant differences in DNA damage between APOE4 carriers and noncarriers, the APOE4 isoform has been associated with mitochondrial dysfunction and increased oxidative stress, which may ultimately promote DNA damage (Blumenfeld et al. 2024; Chua et al. 2015). In our study, we found that under basal conditions, APOE2 GABAergic neurons display reduced DNA damage, as measured by comet assay and p‐γH2AX immunostaining. Furthermore, the transcriptomic analysis revealed enrichment of pathways related to DNA repair. In response to stress‐induced senescence, APOE2 glutamatergic neurons also accumulated less DNA damage, compared to APOE4. Additionally, recombinant APOE2 treatment attenuated irradiation‐induced DNA damage in APOE4 neurons. However, the precise mechanism by which APOE2 confers protection against double‐strand breaks remains to be elucidated.

In response to DNA damage, cells activate a mechanism known as DNA‐damage response (DDR), which detects DNA lesions, signals their presence, and promotes their repair (Jackson and Bartek 2009). Defects in the DDR contribute to AD pathogenesis, leading to increased DNA damage and neurodegeneration (Lin et al. 2020; Nelson and Xu 2023). Moreover, a persistent DDR can be detrimental and promote cellular senescence (Fumagalli et al. 2012). We evaluated the levels of 53BP1 and p‐ATM, two key components of the DDR, under conditions of stress‐induced senescence. Our results revealed a lower number and smaller 53BP1 and p‐ATM foci in APOE2 glutamatergic neurons after irradiation, whereas APOE4 neurons exhibited a higher number and larger foci. DDR can influence genomic instability through the degradation of heterochromatin remodelers, such as EZH2. Upon DNA damage, activation of p‐ATM leads to EZH2 degradation, resulting in loss of heterochromatin, increased DNA damage, and the onset of cellular senescence (Ito et al. 2018). Thus, in APOE4 neurons, unresolved DNA damage and persistent activation of the DDR likely contribute to the induction of cellular senescence.

Nuclear lamina proteins, including LAMIN B1 and LAMIN A/C, levels decline with normal aging, contributing to nuclear instability, disruption of nuclear pore complex organization, and accumulation of DNA damage. Loss of LAMIN B1 is a feature of cellular senescence and is associated with altered nuclear morphology and widespread changes in gene expression (Freund et al. 2012; Matias et al. 2022). Mutations in the LMNA gene cause Hutchinson‐Gilford Progeria Syndrome (HGPS), resulting in LAMIN A/C deficiency and accelerated aging (Gonzalo et al. 2017). Our results showed that APOE2 neurons had resilience to loss of LAMIN A/C levels after irradiation. Likewise, the hippocampus of old APOE2 knock‐in mice showed higher levels of Lamin A/C. Previous findings revealed that increased APOE leads to nuclear lamina protein degradation and subsequently heterochromatin destabilization (Zhao et al. 2022). LMNA depletion promotes replicative stress and accumulation of DNA damage (Schultz et al. 2025). Therefore, we hypothesized that APOE2 plays a role in stabilizing LAMIN A/C, which in turn prevents genomic instability. Further experiments are required to define the molecular mechanisms underlying this effect.

Collectively, our findings support a model in which the APOE genotype influences neuronal aging trajectories through regulation of genomic stability. APOE2 is associated with enhanced DNA repair capacity, preserved nuclear architecture, and restrained nucleolar activity, whereas APOE4 is linked to persistent DNA damage signaling, chromatin instability, and acquisition of senescence‐associated features. This genotype‐dependent divergence may contribute to differential vulnerability to neurodegeneration during aging. These protective mechanisms highlight a unique role for APOE2 in promoting healthy neuronal aging, while offering resistance to AD pathology. These insights open new avenues for the development of therapeutic strategies aimed at targeting DNA repair pathways and senescence to mitigate aging and neurodegeneration.

Materials and Methods

Culturing ofandNeurons APOE2 GABAergic APOE4

Human APOE4 GABAergic neurons (Fujifilm, R1168, 4 million cells per vial) and APOE2 GABAergic neurons (Fujifilm, R1169, 4 million cells per vial) were obtained from Fujifilm (formerly Cellular Dynamics International). Cells were thawed and maintained according to the manufacturer's instructions using iCell Neural Base Media 1 and its associated Supplement A (R1150), which together constitute the Complete Maintenance Medium. For culture, 8‐well chamber slides, 12‐well plates, 6‐well plates, and/or 96‐well plates were coated with one of two matrix conditions. The first condition, plates were coated with 0.01% poly‐L‐ornithine (Sigma‐Aldrich, P4957) and left overnight at 37°C, rinsed 3× each with Milli‐Q water (Elga Superflex Model PF3), and then coated with 3.3 μg/mL laminin (Sigma‐Aldrich, L2020) in Milli‐Q water for 1 h at 37°C. Wells were subsequently filled with Complete Maintenance Media. In the second condition, plates were coated with 0.1 mg/mL poly‐D‐lysine (Sigma‐Aldrich, P6407) overnight at 37°C, rinsed three times with Milli‐Q water, and then coated with Matrigel (130–160 μg/mL, Corning, CB40234) overnight at 37°C. Wells were aspirated and replenished with SynaptoJuice B as described in (Kemp et al. 2016). For most experiments, SynaptoJuice B was used, as the GABAergic neurons exhibited improved viability and morphology in this medium. Media were changed every 3–5 days. The cells were allowed to mature for at least 14 days in culture, and 2–5 batches were used depending upon the experiment.

Neuronal Network Analysis

APOE4 and APOE2 GABAergic inhibitory neurons were cultured as described above and imaged in brightfield every 3 h using a BioTek Cytation 5 instrument at 4× or 10× magnification. Image acquisition and analysis were performed using Gen5 software (BioTek, Version 3.08). Images were preprocessed using background correction and deconvolution (3× iterative cleaning step) to reduce optical blur and enhance neurite visibility. Processed images were used for neurite outgrowth quantification and for the generation of time‐lapse videos for cell motility analysis. Neurite outgrowth was quantified by applying a primary mask to processed images, with a mask threshold of 750 units. The “Sum Perimeter” (SP) parameter, defined as the total perimeter of all detected objects within the field of view, was extracted for each image. Objects within an acceptable size range of 5–500 μm were included in the analysis. Once optimized, mask parameters were applied uniformly across all wells and time points. To normalize for baseline variability, SP values at each time point were divided by the SP value of the first time point (read 1) for the corresponding well, generating a normalized Sum Perimeter (SP_norm). Temporal changes in SP_norm were plotted using GraphPad Prism 8.

Cell Movement Analysis

GABAergic neurons were cultured and imaged at 4× magnification as described above. For each well, 2 × 2 tiled images centered within the well were acquired and stitched using BioTek software. Time‐lapse image sequences were registered and exported as H.264‐compressed (MP4) videos. Cell body motility was analyzed using Image Analyst MKII (Image Analyst Software, Novato, CA). Cell bodies were identified in brightfield images using band‐pass spatial filtering with absolute value transformation, followed by image segmentation based on a modified version of the “Measure tracking parameters of cells in brightfield time lapses” pipeline. Individual cells were tracked across frames using a simulated annealing optimization algorithm implemented in the “Track Objects” function, which associates objects between consecutive frames based on proximity, size, and shape features without requiring direct spatial overlap. Tracks shorter than 10 frames were excluded from analysis. Because cell movement in culture is largely random, the vector sum of all displacement vectors within a field of view was assumed to be zero; any residual displacement was attributed to imperfect frame registration and was subtracted from each frame‐to‐frame displacement vector. Erroneous tracking events were excluded using a velocity threshold cutoff. The remaining tracks were quantified using the “Plot Tracking Parameters” function. Mean curvilinear velocity (VCL) was calculated as the average absolute velocity along the entire track. Average path velocity (VAP) was determined by smoothing velocity vectors prior to calculating absolute velocity, thereby reducing values for trajectories with frequent directional changes while preserving velocities of straight‐moving cells. Wobble was calculated as:. A value of 0 indicates smooth, linear motion, whereas higher values reflect increased directional variability. Tracking parameters were calculated for each cell and subsequently averaged across fields and wells. Wobble = − 1 VAP VCL

Immunocytochemistry ofandNeurons APOE2 GABAergic APOE4

GABAergic inhibitory neurons were cultured for 6–10 days on 8‐well chamber‐slides (BD Falcon, 354108), fixed with 4% paraformaldehyde (Sigma, 158127) for 15 min at RT and washed 3× with PBS. Neurons were permeabilized with 0.1% Triton X‐100 (Fisher Scientific, BP151‐100) in PBS solution for 15 min, washed with PBS, and then blocked 30–60 min with 1% BSA (Sigma Aldrich, 03117332001) and 5% donkey serum (Sigma Aldrich, D9663) in PBS. An additional PBS wash was performed, and the cells were probed with primary antibodies overnight at 4°C. Neurons were washed 3× with PBS, and then probed with antigen‐matched, fluorescent‐labeled secondary antibodies for at least 1.5 h and washed 3× times with PBS in the dark. The cells were mounted with 12‐mm glass coverslips (48393‐251) using Prolong Gold with DAPI (ThermoFisher, P36931). Imaging was done using a Zeiss LSM 780 confocal on an Axio Observer Z1 inverted microscope with Plan‐Apochromat 63×/1.40 NA Oil DIC objective. Primary antibodies (1:100 dilution) include: VGAT (Synaptic Systems, 131011), GluR1 (Millipore, ABN241), PSD95 (Sigma, SAB5600103), GAD (Millipore, AB1511), phospho‐γH2AX (Millipore, 05‐636), Nestin (Abcam, ab92391), GABA (Synaptic Systems, A2052), MAP2 (Abcam, AB5622), P16 (Abcam, AB108349), Calbindin (Abcam, AB108404), Nucleolin (Abcam, AB22758), phospho‐ATM (ThermoFisher Scientific, MA1‐2020), 53BP1 (Cell Signaling, 4937), and H3K9me3 (Abcam, AB8898). Secondary antibodies (1:200–1:350 dilution) include: donkey‐anti mouse Alexa Fluor 488 (ThermoFisher, A21202) and donkey‐anti rabbit Alexa Fluor 555 (ThermoFisher, A32794). The phospho‐γH2AX images were analyzed using the Cytation 5 Biotek system quantifying the puncta in APOE4 and APOE2 GABAergic neurons.

Extraction ofandNeurons andSequencing RNA APOE2 GABAergic APOE4 RNA

Bulk RNA was extracted from 12‐well plates using the Bioline Isolate II RNA mini kit (Bioline, BIO‐52073) and the manufacturer's protocol. Each well contained approximately 400,000 GABAergic inhibitory neurons. The resulting elute was quantified on the NANODROP 2000 (D632) and frozen at −20°C. Three samples of each genotype for six total samples were sequenced by the UC‐Davis core. FASTQ files were assessed for sequencing quality using per‐base quality and adapter content. Reads were trimmed with Trimmomatic to remove adapter sequences and low‐quality bases. Trimmed reads were aligned to the human reference genome, and gene counts were generated by assigning aligned reads to annotated genes. Differential gene expression was performed using DESeq2, and low‐expressed genes were filtered out before testing. p values were corrected for multiple testing using the Benjamini‐Hochberg false discovery rate (FDR).

Gene Set Enrichment Analysis

GO was performed using a ranked list of differential gene expression with parameters set to 2000 gene‐set permutations and gene‐set size between 15 and 200. The gene‐sets included for the Gene Set Enrichment analyses were obtained from Gene Ontology (GO) database (GOBP_AllPathways), updated September 01, 2019 (http://download.baderlab.org/EM_Genesets/). An enrichment map (version 3.2.1 of Enrichment Map software (Merico et al. 2010)) was generated using Cytoscape 3.7.2 using significantly enriched gene‐sets with an FDR < 0.05. Similarity between gene‐sets was filtered by Jaccard plus overlap combined coefficient (0.375). The resulting enrichment map was further annotated using the AutoAnnotate Cytoscape App.

Single‐CellIsolation and Analysis ofandNeurons RNA APOE2 GABAergic APOE4

Wells from 12‐well plates were harvested for use in single‐cell analysis. Three wells per genotype were harvested, for a total of six samples. We utilized the V3 Chromium Single Cell 3′ Reagent Kits User Guide and its associated Chromium i7 Multiplex Kit (10X, PN‐120262). Data have been deposited in NCBI's Gene Expression Omnibus GEO Series accession number GSE143276.

Single‐CellAnalysis RNAseq

FASTQ files from 10× single‐cell RNA sequencing were processed using Cell Ranger (GRCh38, 2020). Downstream bioinformatics analysis was performed in R using Seurat v4.3.0. Genes detected in fewer than three cells were removed. To filter out cells with low‐complexity libraries, the following thresholds were applied: number of features ≥ 300, log10(GenesPerUMI) > 0.85, mitochondrial RNA < 25%, and ribosomal RNA > 5%. Doublets were identified using DoubletFinder v2.0.6, accounting for 4% of the dataset, and subsequently removed. The novelty score, defined as the ratio of the number of genes to UMIs, was also calculated to ensure that all retained cells exhibited high transcriptomic diversity (novelty score > 0.8). Counts were normalized and scaled with SCTransform. Samples were batch‐corrected using the Harmony method. Unsupervised clustering based on transcriptional data was performed using Seurat's FindNeighbors and FindClusters functions. Clusters were visualized with RunUMAP and DimPlot using default settings. To characterize clusters, we used FindConservedMarkers and FindAllMarkers. Differential expression analysis was performed using a pseudo‐bulk approach and DESeq2 v1.42.1. Gene set and pathway enrichment analyses were conducted using clusterProfiler v4.10.1 and fgsea v1.28.0.

andInhibitory Neurons Comet Assay APOE2 GABAergic APOE4

Female homozygous APOE2 (Fujifilm, R1169 donor ID 01434), and APOE4 (Fujifilm, R1168, donor ID 01434) iCell GABAergic neurons were cultured in Corning 6‐well plates (Thermo Fisher Scientific, 140675) coated with 0.1 mg/mL poly‐D‐lysine (Sigma‐Aldrich, P6407) overnight at 37°C. Wells were rinsed 3× with Milli‐Q water and subsequently coated with 130–160 μg/mL Matrigel (Corning, CB40234) overnight at 37°C. SynaptoJuice B medium was added as previously described (Kemp et al. 2016). DNA damage was assessed using the alkaline comet assay (Trevigen/R&D Systems, 4250‐050‐03) according to the manufacturer's protocol. Approximately 3000 cells per condition were collected into 1.5‐mL microcentrifuge tubes (Sorenson, 11590) and mixed with 75 μL of pre‐warmed 1% low‐melting‐point agarose (Bio‐Rad, 1613102). The agarose–cell suspension was evenly spread onto Trevigen 2‐well comet slides and allowed to gel at 4°C for up to 30 min in the dark. Slides were immersed in pre‐chilled lysis solution (Trevigen, 4250‐050‐01) and incubated overnight at 4°C in the dark. For DNA unwinding, slides were transferred to freshly prepared alkaline unwinding solution (8 g NaOH and 2 mL 500 mM in 1 L distilled water; pH ≥ 13) and incubated for 1 h at 4°C in the dark. Slides were then placed in a Trevigen electrophoresis chamber (4250‐050‐ES) containing unwinding solution and subjected to electrophoresis at 21 V for 10 min at 4°C. Following electrophoresis, slides were washed twice with Milli‐Q water for 5 min each, rinsed once with 70% ethanol for 5 min, and air‐dried at 37°C in a carbon dioxide–free incubator for 10 min. DNA was stained with 1× SYBR Gold (Thermo Fisher Scientific, S11494) in Milli‐Q water for 30 min at room temperature in the dark. Slides were rinsed with Milli‐Q water and allowed to dry overnight at room temperature. Comets were imaged using a BioTek Cytation 5 imaging system (Gen5 software, version 3.08) and analyzed as described above.

Repetitive Repeat Element Analysis

We used RepEnrich2 to estimate the number of repetitive elements observed in our RNAseq data (Criscione et al. 2014). We used the repetitive element annotation for Homo sapiens from Repeatmasker.org. Once repetitive elements were quantified, DESeq2 was used to perform differential enrichment analysis (Love et al. 2014).

Generation of Isogenic Homozygote,, andUsing/Cas9 Editing APOE2 APOE3 iPSCs APOE4 CRISPR

The isogenic homozygote APOE2, APOE3, and APOE4 iPSC lines were CRISPR edited using NCRM1 parental clones with Cas9 and gRNA (Synthego, Redwood City, CA). The three lines were fully sequenced. The homozygote lines had the expected sequences and no off‐target edits, and were karyotyped as normal. Human iPSC‐derived neurons were engineered to have a safe harbor locus with integration of a doxycycline‐inducible Ngn2 transgene into APOE2, APOE3, and APOE4 carrying human iPSCs (Wang et al. 2017). The TALENS and donor construct as 1:2 ratio. TALEN AAVS1A (3 μg), AAVS1B (3 μg), and pUC‐hNgn2/oligo (6 μg) with puromycin selection were as described (Wang et al. 2017). All NCRM1 APOE2, APOE3, and APOE4 PCR‐identified clones were karyotyped (Cell Line Genetics) and had normal karyotypes.

Differentiation ofInto Ngn2 Glutamatergic Neurons iPSCs

We differentiated glutamatergic neurons from human isogenic iPSCs (APOE ε2/ε2, ε3/ε3, and ε4/ε4 genotypes) by inducible Ngn2 expression, using a transgenic cassette that was integrated into the AAVS1 safe harbor locus of each APOE iPSC clone as described (Wang et al. 2017). iPSCs were maintained in colonies in 6‐cm plates pre‐coated with Matrigel (Corning, 354234) using mTESR Plus basal medium (Stemcell, 100‐0274). For differentiation, iPSCs were detached into single cells with StemPro Accutase (Gibco, A1110501) and plated on a Matrigel‐coated plate at a density of 2.5 × 105 cells/cm2. iPSCs were maintained using N2+ medium containing KO DMEM/F12 (ThermoFisher, 12660012), 1% N2 supplement (ThermoFisher, 17502001), 1× NEAA (ThermoFisher, 11140050), 10 ng/mL BDNF (Peprotech, 450‐02), 10 ng/mL NT3 (Peprotech, 450‐03), and 2 μg/mL doxycycline. The medium was changed every day. After 3 days of pre‐differentiation, cells were detached using StemPro Accutase and plated in poly‐D‐lysine (20 μg/mL) coated coverslips or plates at a density of 7.5 × 104 cells/cm2 and maintained using NBA+ medium containing Neurobasal A (ThermoFisher, 108888022), 2% B27 (ThermoFisher, 17504044), 1x GlutaMAX (ThermoFisher, 35050061), 10 ng/mL BDNF (Peprotech, 450‐02), 10 ng/mL NT3 (Peprotech, 450‐03). Neurons were differentiated for 28 days, and half of the medium was changed every week. A subset of plates were exposed to irradiation (10 Gy) or doxorubicin treatment (200 nM) at day 18 during the differentiation and analyzed 10 days after treatment. For recombinant APOE2 experiments, a subset of plates was treated with recombinant APOE2 (50 ng/mL) starting at day 11 twice a week until analysis.

Immunocytochemistry of Ngn2 Glutamatergic Neurons

Differentiated neurons were cultured on coverslips, fixed with paraformaldehyde 4% for 15 min at RT, and stored in PBS 1× at 4°C. Neurons were blocked and permeabilized using 1X PBS, 5% fish gelatin (Sigma, G7041), and 0.5% Triton‐X‐100 (Sigma, X100) for 2 h at RT. Primary antibodies were incubated overnight at 4°C in blocking solution at a concentration of 1:250 for p‐γH2AX (Millipore, 07‐627), p‐ATM (ThermoFisher, MA1‐2020), 53BP1 (CellSignaling, 4937), CRYAB (Abcam, ab13496), H3K9me3 (Abcam, ab8898), 1:750 for p16/cdkn2a (Abcam, ab108349), and MAP2 (Novus Biologicals, NB300‐213). Secondary antibodies were incubated for 2 h at RT in blocking solution at a concentration of 1:500 for anti‐mouse Alexa 488 (ThermoFisher, A32766), anti‐rabbit Alexa 555 (ThermoFisher, A32794), and anti‐chicken Alexa 647 (ThermoFisher, A21443), followed by incubation with DAPI (1 μg/mL) for 10 min at RT. Coverslips were mounted on a slide using ProLong Gold antifade mountant and stored at 4°C in the dark. Images were taken using a confocal microscope ZEISS LSM 980. Images were analyzed using Fiji Image J.

Neural Stem Cells Differentiation APOE

Neural stem cells were differentiated from human isogenic iPSCs expressing APOE2, APOE3, or APOE4 as previously described (Galicia Aguirre et al. 2025). Briefly, iPSCs were cultured in mTESR1 medium (STEMCELL Technology, 05850). Differentiation was initiated by inhibiting SMAD signaling with SB431542 (10 μM, Tocris, 1614) and LDN‐193189 (1 μM, Tocris, 6053) in mTESR1 medium. By day 10, the harvested aggregates were plated at low density on Matrigel‐coated (1 mL, 50 μg) 10‐cm dishes in N2B27 medium. This medium consisted of DMEM/F12 (Gibco, Thermo Fisher Scientific, 11320‐033) supplemented with 1× N2 (Thermo Fisher Scientific, 17502001), 1× B27 (Thermo Fisher Scientific, 17504001), 1× GlutaMAX (Thermo Fisher Scientific, 35050061), 1× Non‐Essential Amino Acids (Thermo Fisher Scientific, 11140050), β‐fibroblast growth factor (FGF, 25 ng/mL, PeproTech, 100‐18B), and penicillin/streptomycin (P/S, 100 U/mL, Thermo Fisher Scientific, 15140122). At day 14, neural rosettes were seeded into a Matrigel‐coated P12‐well plate in Neural Proliferation Medium. This medium contained Neurobasal (Thermo Fisher Scientific, 21103049), 1× B27 supplement (Thermo Fisher Scientific, 17504001), 1× GlutaMAX (Thermo Fisher Scientific, 35050061), leukemia inhibitory factor (10 ng/mL, PeproTech, 300‐05), and 100 U/mL P/S, supplemented with 25 ng/mL β‐FGF. NSCs derived from this process were passaged upon reaching confluency. For time‐course experiments, NSCs were plated in 96‐well plates coated with Matrigel at a density of 6.2 × 103 cell/cm2, after 2 days, cells were exposed to irradiation 5Gy and fixed using 4% PFA.

Mouse Tissue

Female mice homozygous for human APOE2, APOE3, and APOE4 genes, through targeted replacement of the mouse Apoe gene, were purchased from Taconic Biosciences (Rensselaer, NY) (catalog numbers, 1547‐F or ‐M, 1548F or ‐M,1549‐F or ‐M, B6.129P2‐Apoe<tm1 (APOE*2)Mae>N9, B6.129P2‐Apoe<tm1 (APOE*3)Mae>N9, B6.129P2‐Apoe<tm1(APOE*4) Mae>N9). Mice were generated on the C57BL/6 genetic background, with the mouse APOE gene replaced with the human APOE gene under the control of murine APOE regulatory sequences. The Buck Institute for Research on Aging animal facility is an AAALAC International‐accredited institution (Unit Number 001070). All protocols and procedures described herein were approved by the Buck's Institutional Animal Care and Use Committee.

Immunohistochemistry of HumanKnock‐In Mice Brain Tissue APOE

Paraffin‐embedded brain tissue sections (2 μm thickness) were deparaffinized using a standard xylene‐based protocol and rehydrated through graded ethanol. Antigen retrieval was performed in Tris–EDTA buffer (10 mM Tris base, 1 mM EDTA, pH 9.0), followed by brief rinsing in PBS. Nonspecific binding was blocked by incubating sections in blocking buffer containing PBS supplemented with 10% normal donkey serum, 5% bovine serum albumin (BSA), and 0.3% Triton X‐100 for 2 h at room temperature in a humidified chamber. Sections were then incubated overnight at 4°C with primary antibodies diluted in blocking buffer. After washing with PBS, sections were incubated with appropriate cross‐adsorbed fluorophore‐conjugated secondary antibodies diluted in blocking buffer. To reduce tissue autofluorescence, sections were treated with TrueBlack (Biotium) for 1 min, followed by three washes in PBS. Slides were mounted using ProLong Gold Antifade Mountant containing DAPI (Thermo Fisher Scientific). Images were acquired using a Zeiss LSM 980 confocal microscope. Image analysis was performed using Cellpose and Fiji (ImageJ).

Statistics

Graphs and statistical analysis were performed using Graphpad Prism 10. For GABAergic neurons, we performed 3 independent experiments using unpaired Student's t‐test comparing APOE2 versus APOE4. For Ngn2 glutamatergic analysis, we performed 3 to 6 independent differentiations with technical replicates, then we performed a one‐way or two‐way ANOVA, followed by Tukey's post hoc test, which applies the family‐wise error rate (FWER). All significant values are represented by asterisks showing adjusted p values displayed in this paper as p.

Author Contributions

Conceptualization: C.G.‐O., S.M.S., and L.M.E.; Methodology: C.G.‐O., S.M.S., C.G.A., G.V‐.H., D.G., K.S., L.W., E.P., N.M., K.A.W., N.T.M., S.S., K.S., T.E.T., A.A.G., and E.P.; Investigation: C.G.‐O., S.M.S., C.G.A., N.M., J.S., and L.M.E.; Funding acquisition: C.G.‐O. and L.M.E.; Supervision: E.V., J.C., D.F., S.D.M., S.M., and L.M.E.; Project administration: L.M.E.; Writing‐original draft: C.G.‐O., S.M.S., K.A.W., and L.M.E.; Writing‐review and editing: C.G.‐O. and L.M.E. S.M. did this work before he joined the NIH.

Funding

This work was supported by the National Institute on Aging (1RO1AG061879, 5P01AG066591, and T32 AG000266); Paul F. Glenn Center for Biology of Aging; CatalystX award from Alex and Bob Griswold. This work was in part funded by a grant from the Hevolution Foundation (HF‐PART‐23‐1422047).

Conflicts of Interest

The authors declare no conflicts of interest.

Supporting information

Funding

Competing interests

The authors declare no conflicts of interest.
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