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Biological age & clocks
Research brief

Review proposes epigenetic clock as candidate readout of rotator cuff healing capacity

This review organizes aging biology of bone-to-tendon healing into eight domains and proposes the DNA-methylation epigenetic clock as a candidate quantitative readout; whether it truly integrates these domains at the enthesis remains an unvalidated hypothesis. [1]

Automatic summary · not editorially reviewed

The key findings

  1. The review organizes aging biology governing bone-to-tendon healing capacity into eight domains, including progenitor competence, cellular senescence and the SASP, immune aging, matrix and collagen aging, angiogenesis, morphogen signaling, mechanotransduction and bone quality. [1]

  2. The authors propose the DNA-methylation epigenetic clock as a candidate quantitative readout of these domains, but state that whether it truly integrates them at the enthesis is a hypothesis, not an established mechanism. [1]

  3. In 1087 twins, epigenetic age acceleration predicted fracture and osteoporosis risk, with hazard ratios of 1.29–3.17 per standard deviation. [1]

The source at a glance

Study type / format
Narrative review (abstract)
Population / context
People with rotator cuff repair and the biology of the tendon-to-bone enthesis; twin data from 1087 twins on fracture and osteoporosis risk.
Summary based on
Study abstract
Original publication
September 2, 2026

Eight domains of enthesis healing biology

The review addresses the failure of the tendon-to-bone interface (enthesis) to heal after rotator cuff repair. The native enthesis is described as a four-zone fibrocartilaginous gradient that does not regenerate but heals as a mechanically inferior fibrovascular scar. Because chronological age predicts healing capacity poorly, the authors organize aging biology into eight domains: progenitor competence, cellular senescence and the SASP, immune aging, extracellular-matrix and collagen aging via advanced glycation end-product cross-linking, footprint angiogenesis, morphogen signaling, mechanotransduction, and bone quality.

Supporting source [1]

Epigenetic clock proposed as candidate readout

The authors define the DNA-methylation epigenetic clock as a continuous value produced by weighted CpG methylation, with defined units, reproducibility and effect sizes, and propose it as a candidate quantitative readout of the eight domains. They explicitly state that whether it truly integrates them into a single biologically meaningful measure at the enthesis is a hypothesis of this review, not an established mechanism. They also note that aging is tissue-specific, so the enthesis may run ahead of blood.

Supporting source [1]

Twin data on epigenetic age and fracture risk

In 1087 twins, epigenetic age acceleration predicted fracture and osteoporosis risk, with hazard ratios of 1.29–3.17 per standard deviation. The review uses this as context for its proposal, not as evidence about the enthesis itself. The authors integrate their ideas into a "hidden biological age of bone-to-tendon healing" and explicitly state that this remains an unvalidated hypothesis requiring prospective validation.

Supporting source [1]

How to interpret this

Abstract only; the full text was not reviewed. The epigenetic clock as a readout of enthesis healing is explicitly an unvalidated hypothesis requiring prospective validation. The twin findings concern fracture and osteoporosis risk, not rotator cuff healing.

Based on the study abstract; the full paper, tables and supplementary data were not reviewed.

Source & supporting passages

[1]
Aging Biology of Bone-to-Tendon Healing and the Epigenetic Clock: A Biological-Age Readout of Rotator Cuff Healing Capacity.

Yoon JP, Park SJ, Kim DH, Cho CH, Yoshida Y, Nam H, Chung SW. · europepmc.org · September 2, 2026

Read the quoted passagesIn the language of the original source
  1. Finding 1 ↑

    organizes the aging biology governing bone-to-tendon healing
  2. Finding 2 ↑

    is a hypothesis of this review, not
  3. Finding 3 ↑

    epigenetic age acceleration predicted fracture and osteoporosis

AI-assisted summary with linked source passages. No independent editorial or clinical review.

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