# Genomic Perspective on Heterogeneity of Organs and Body Aging

**Authors:** Shabnam Salimi, Daniel Raftery, Luigi Ferrucci

PMC · DOI: 10.1111/acel.70353 · Aging Cell · 2026-01-02

## TL;DR

This review explores how genomic factors contribute to the uneven aging of different organs and the whole body, emphasizing the need for personalized aging interventions.

## Contribution

The paper introduces genomic perspectives as potential mechanisms for heterogeneous organ and body aging.

## Key findings

- Organ-specific aging metrics reveal variability in aging rates across different systems.
- Genomic factors like somatic mutations and epigenetic drift contribute to aging heterogeneity.
- Precision interventions targeting genomic pathways may address organ-specific aging.

## Abstract

Aging is a heterogeneous process, with organ systems and individuals experiencing variable rates of decline that are not fully reflected by chronological age. This variability contributes to the complexity of system morbidity, which poses increasing challenges for clinical care and biomedical research. In this review, we discuss the heterogeneity of organ and whole‐body aging and perspectives on genomics as possible mechanisms that relate to such heterogeneity. We discuss how static genomics, including nuclear genetic variants, and dynamic genetics, such as somatic mutations, epigenetic drifts, and mitochondrial DNA changes might explain the variable rate of aging across organ systems and the whole body. We discuss that the use of metrics that capture heterogeneity in organ and body aging is critical to identify genomic biomarkers of aging, clarifying mechanisms of adaptation versus decline.

Organ‐specific and whole‐body intrinsic aging metrics reveal heterogeneous organ aging, which potentially can arise from the interplay between static germline variation, somatic mutations, epigenetic drift, transposable elements, and mitochondrial DNA changes, highlighting genomic pathways for precision, organ‐targeted aging interventions.

## Full-text entities

- **Genes:** DNMT3B (DNA methyltransferase 3 beta) [NCBI Gene 1789] {aka FSHD4, ICF, ICF1, M.HsaIIIB}, DNMT3A (DNA methyltransferase 3 alpha) [NCBI Gene 1788] {aka DNMT3A2, HESJAS, M.HsaIIIA, TBRS}, SOX2 (SRY-box transcription factor 2) [NCBI Gene 6657] {aka ANOP3, MCOPS3}, TREM2 (triggering receptor expressed on myeloid cells 2) [NCBI Gene 54209] {aka AD17, PLOSL2, TREM-2, Trem2a, Trem2b, Trem2c}, SORL1 (sortilin related receptor 1) [NCBI Gene 6653] {aka C11orf32, LR11, LRP9, SORLA, SorLA-1, gp250}, SIRT7 (sirtuin 7) [NCBI Gene 51547] {aka SIR2L7}, GDF15 (growth differentiation factor 15) [NCBI Gene 9518] {aka GDF-15, HG, MIC-1, MIC1, NAG-1, PDF}, KL (klotho) [NCBI Gene 9365] {aka HFTC3, KLA}, SERPINE1 (serpin family E member 1) [NCBI Gene 5054] {aka PAI, PAI-1, PAI1, PLANH1}, PARP1 (poly(ADP-ribose) polymerase 1) [NCBI Gene 142] {aka ADPRT, ADPRT 1, ADPRT1, ARTD1, PARP, PARP-1}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, Sirt1 (sirtuin 1) [NCBI Gene 93759] {aka SIR2L1, Sir2, Sir2a, Sir2alpha}, ABCA7 (ATP binding cassette subfamily A member 7) [NCBI Gene 10347] {aka ABCA-SSN, ABCX, AD9}, H2ax (H2A.X variant histone) [NCBI Gene 15270] {aka H2A.X, H2afx, Hist5-2ax, gammaH2ax}, APOL1 (apolipoprotein L1) [NCBI Gene 8542] {aka APO-L, APOL, APOL-I, FSGS4}, BRCA1 (BRCA1 DNA repair associated) [NCBI Gene 672] {aka BRCAI, BRCC1, BROVCA1, FANCS, IRIS, PNCA4}, KLF4 (KLF transcription factor 4) [NCBI Gene 9314] {aka EZF, GKLF}, FTO (FTO alpha-ketoglutarate dependent dioxygenase) [NCBI Gene 79068] {aka ALKBH9, BMIQ14, GDFD, IFEX9}, TERT (telomerase reverse transcriptase) [NCBI Gene 7015] {aka CMM9, DKCA2, DKCB4, EST2, PFBMFT1, TCS1}, SIRT6 (sirtuin 6) [NCBI Gene 51548] {aka SIR2L6, hSIRT6}, DNMT1 (DNA methyltransferase 1) [NCBI Gene 1786] {aka ADCADN, AIM, CXXC9, DNMT, HSN1E, MCMT}, TET2 (tet methylcytosine dioxygenase 2) [NCBI Gene 54790] {aka IMD75, KIAA1546, MDS}
- **Diseases:** breast cancer (MESH:D001943), kidney disease (MESH:D007674), fatty liver disease (MESH:D005234), chronic inflammation (MESH:D007249), Werner and progeria (MESH:D014898), renal function decline (MESH:D060825), ischemic heart disease (MESH:D017202), chronic kidney disease (MESH:D051436), left ventricular hypertrophy (MESH:D017379), International Classification of Diseases (MESH:D008310), heart failure (MESH:D006333), progeria (MESH:D011371), cognitive and physical disability (MESH:D003072), death (MESH:D003643), cardiovascular and other (MESH:D002318), periodontal disease (MESH:D010510), coronary heart disease (MESH:D003327), diseases (MESH:D004194), retinoblastoma (MESH:D012175), hypothyroidism (MESH:D007037), insulin resistance (MESH:D007333), Chronic diseases (MESH:D002908), diabetes (MESH:D003920), gout (MESH:D006073), AD (MESH:D000544), Atherosclerosis (MESH:D050197), Body Organ Disease (MESH:D000092124), CKD (MESH:D012080), age (MESH:D019588), ICD (OMIM:252500), clonal hematopoiesis (MESH:C536227), age-related diseases (MESH:D010024), type 2 diabetes (MESH:D003924), dementia (MESH:D003704), cancer (MESH:D009369), hematologic diseases (MESH:D006402), neurodegeneration (MESH:D019636), kidney function decline (MESH:D007680), hypertension (MESH:D006973), obesity (MESH:D009765), acute stroke (MESH:D020521), osteoarthritis (MESH:D010003), mitochondrial damage (MESH:D028361), hyperlipidemia (MESH:D006949)
- **Chemicals:** triglyceride (MESH:D014280), NAD+ (MESH:D009243), acetyl-CoA (MESH:D000105), ROS (MESH:D017382), ATP (MESH:D000255), alpha-ketoglutarate (MESH:D007656), iron (MESH:D007501), lipids (MESH:D008055), S-adenosylmethionine (MESH:D012436)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** A1C

## Full text

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## Figures

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## References

174 references — full list in the complete paper: https://tomesphere.com/paper/PMC12759047/full.md

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Source: https://tomesphere.com/paper/PMC12759047