# Select Small Non‐Coding RNAs Are Determinants of Survival in Older Adults

**Authors:** Virginia Byers Kraus, Sisi Ma, Syeda Iffat Naz, Xin Zhang, Christopher G. Vann, Melissa C. Orenduff, William E. Kraus, Steven Shen, Janet L. Huebner, Ching‐Heng Chou, Erich Kummerfeld, Harvey Jay Cohen, Constantin F. Aliferis

PMC · DOI: 10.1111/acel.70403 · Aging Cell · 2026-02-24

## TL;DR

This study finds that certain small non-coding RNAs in the blood are linked to longer survival in older adults and could be used as biomarkers or drug targets for longevity.

## Contribution

The study identifies specific piRNAs and miRNAs as novel biomarkers and potential therapeutic targets for human longevity.

## Key findings

- A predictive model using small RNAs and clinical variables achieved high accuracy in predicting 2-year survival in older adults.
- Nine piRNAs were identified as potential therapeutic targets, all reduced in individuals with longer lifespans.
- Reduced piRNA biogenesis has been experimentally linked to increased lifespan in C. elegans, supporting the biological plausibility of the findings.

## Abstract

To investigate the relevance of small RNAs to human longevity, we pursued three goals: (a) to validate epigenetic (small RNA) factors underlying survival of older adults, (b) to develop and validate prediction models of survival for potential clinical application, and (c) to identify plausible druggable targets prolonging longevity. We evaluated 828 small non‐coding RNAs—687 microRNAs (miRNAs) and 141 piwi‐interacting RNAs (piRNAs)—in baseline plasma from 1271 community‐dwelling older adults (≥ 71 years) in the Duke‐EPESE study. Our predictive model incorporating smRNAs, clinical variables (demographics, lifestyle, mood, physical function, standard clinical laboratory tests, NMR‐derived lipids and metabolites, and medical conditions) and age achieved strong performance, with cross‐validated AUCs of 0.92 for 2‐year survival in Discovery and 0.87 in external Validation. Nine piRNAs, all reduced in longer‐lived individuals, were identified as potential therapeutic targets. Under the assumption of causal sufficiency, these data provide causal evidence linking circulating small RNAs with survival outcomes in humans. While such inference does not replace experimental validation, it complements mechanistic studies by identifying candidate molecular drivers most relevant to human longevity. Supporting biological plausibility, reduced piRNA biogenesis has been shown to double lifespan in C elegans. Together, our findings identify circulating piRNAs and miRNAs as promising biomarkers and potential therapeutic targets to advance human longevity.

Circulating small RNAs were profiled by RNA sequencing in a well‐characterized cohort and evaluated alongside 187 clinical variables to predict survival. Models incorporating circulating small RNAs, including parsimonious subsets, outperformed age and clinical factors alone (AUC), with causal analyses supported by experimental evidence from the literature.

## Full-text entities

- **Genes:** KCNIP4 (potassium voltage-gated channel interacting protein 4) [NCBI Gene 80333] {aka CALP, KCHIP4}, TRAF6 (TNF receptor associated factor 6) [NCBI Gene 7189] {aka MGC:3310, RNF85}, PIWIL1 (piwi like RNA-mediated gene silencing 1) [NCBI Gene 9271] {aka CT80.1, HIWI, MIWI, PIWI}, Dcr-1 (Dicer-1) [NCBI Gene 42693] {aka CG4792, DCR1, DICER, DICER-1, Dcr, Dcr1}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, PIR (pirin) [NCBI Gene 8544], SIDT1 (SID1 transmembrane family member 1) [NCBI Gene 54847] {aka SID-1, SID1}, GGT1 (gamma-glutamyltransferase 1) [NCBI Gene 2678] {aka CD224, D22S672, D22S732, GGT, GGT 1, GGTD}, AZF1 [NCBI Gene 560], SLC9A7 (solute carrier family 9 member A7) [NCBI Gene 84679] {aka MRX108, NHE-7, NHE7}, MIR17HG (miR-17-92a-1 cluster host gene) [NCBI Gene 407975] {aka C13orf25, LINC00048, MIHG1, MIRH1, MIRHG1, NCRNA00048}, AHSA2P (activator of HSP90 ATPase homolog 2, pseudogene) [NCBI Gene 130872] {aka AHA1, AHSA2, Hch1}, TSPEAR-AS2 (TSPEAR antisense RNA 2) [NCBI Gene 114043] {aka C21orf90}, HOXA9 (homeobox A9) [NCBI Gene 3205] {aka ABD-B, HOX1, HOX1.7, HOX1G}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, RACK1 (receptor for activated C kinase 1) [NCBI Gene 10399] {aka GNB2L1, Gnb2-rs1, H12.3, HLC-7, PIG21}, NKRF (NFKB repressing factor) [NCBI Gene 55922] {aka ITBA4, NRF, XTBD3}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, GGTLC5P (gamma-glutamyltransferase light chain 5 pseudogene) [NCBI Gene 653590] {aka GGT}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, WEE2-AS1 (WEE2 antisense RNA 1) [NCBI Gene 285962], HSF1 (heat shock transcription factor 1) [NCBI Gene 3297] {aka HSTF1}, InR (Insulin-like receptor) [NCBI Gene 42549] {aka 18402, CG18402, DIHR, DILR, DIR, DIRH}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** depression (MESH:D003866), growth hormone deficiency (MESH:D004393), chronic diseases (MESH:D002908), cognitive impairment (MESH:D003072), viral (MESH:D014777), death (MESH:D003643), loss of functioning (MESH:D006315), LPIR (MESH:D007333), osteoarthritis (MESH:D010003), muscle atrophy (MESH:D009133), inflammation (MESH:D007249), cancer (MESH:D009369)
- **Chemicals:** CO2 (MESH:D002245), lipids (MESH:D008055), alcohol (MESH:D000438), HDL-P (-), rapamycin (MESH:D020123)
- **Species:** Drosophila melanogaster (fruit fly, species) [taxon 7227], Homo sapiens (human, species) [taxon 9606], C elegans [taxon 328850]

## Full text

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## Figures

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## References

65 references — full list in the complete paper: https://tomesphere.com/paper/PMC12933132/full.md

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Source: https://tomesphere.com/paper/PMC12933132