Evidence map›Paper›PMID 42723927›Full record

ArticleFrontiers in aging2026

Grip strength as a systems biomarker of aging: neuromuscular junction constraints and biomarker decoupling in gene therapy.

Patrick E Sewell, Christopher Jensen

Abstract read
In one paragraph

Article in Frontiers in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Patrick E SewellTriple Helix Science | Triple Helix Oncology, Santa Ana, CA, United States.
Christopher JensenTriple Helix Science | Triple Helix Oncology, Santa Ana, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grip strength has emerged as one of the most robust predictors of mortality, disability and healthspan across populations. Yet its predictive validity rests on an often-unstated assumption: that grip strength serves as a passive readout of systemic biological integrity rather than an isolated measure of forearm function. Here we propose that grip strength derives its prognostic power from its position as a convergent output of multiple aging-sensitive physiological systems-including neuromuscular, vascular, metabolic, endocrine and inflammatory networks. We highlight the neuromuscular junction (NMJ) as a particularly critical and often-overlooked rate-limiting factor, noting that age-related strength loss (∼2.5-4% annually) outpaces mass loss (∼0.6-1% annually) by two-to fivefold-a disparity attributable in large part to NMJ deterioration. We introduce the concept of biomarker decoupling and apply it to the emerging landscape of longevity gene therapies being explored in early translational and compassionate-use settings-including follistatin, klotho, FOXO3, hTERT, SIRT1, PGC-1α, VEGF and FGF21. Critically, we argue that follistatin's anabolic efficacy is contingent on intact NMJ integrity, with denervated muscle fibers exhibiting a blunted net anabolic response despite elevated follistatin expression-creating a therapeutic paradox wherein mass gains can occur without proportional functional improvement. We provide a conceptual analysis of how each therapy may influence grip strength, predict decoupling risk based on the breadth of systems affected, outline plausible timing windows for intervention, and propose a heuristic framework for clinical interpretation. The decoupling categories and any numeric ranges presented here are conceptual and hypothesis-generating rather than empirically validated.

Indexed as

biological agingbiomarkerdynapeniafollistatingene therapygrip strengthneuromuscular junctionsarcopenia

Identifiers

PMID42723927
PMCPMC13558165

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.