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Biological age & clocks
Research brief

Proposed biomarker framework for kidney aging from an expert consensus

An expert consensus meeting in Shanghai proposed a multidimensional biomarker framework for kidney aging, covering functional, structural and humoral markers, and supported machine-learning models for biological age assessment. [1]

Automatic summary · not editorially reviewed

The key findings

  1. The abstract describes kidney aging as structural and functional decline and an independent risk factor for degenerative diseases. [1]

  2. The consortium proposed functional, structural and humoral biomarker groups at a Shanghai meeting on 16 May 2025. [1]

  3. The consensus supports machine-learning models for biological age assessment and calls for multi-center cohorts. [1]

The source at a glance

Study type / format
Expert consensus statement (abstract)
Population / context
Older people's kidneys, as discussed by an expert consensus group
Summary based on
Study abstract
Original publication
July 13, 2026

Kidney aging as risk factor

The abstract describes kidney aging as structural and functional decline: reduced kidney size and fewer nephrons, glomerulosclerosis, tubular atrophy and functional loss. It states that kidney aging is an independent risk factor for kidney and systemic degenerative diseases. This is a framing statement in a consensus abstract, not a result from a new study.

Supporting source [1]

Proposed functional, structural and humoral markers

At a meeting in Shanghai on 16 May 2025, the Aging Biomarker Consortium proposed a framework with three marker groups: functional markers (estimated glomerular filtration rate, renal blood flow), structural markers (loss of kidney volume) and humoral markers (Klotho, N-terminal Pro-B-type natriuretic peptide, and factors of the senescence-associated secretory phenotype). The abstract presents these as a proposal, not as validated tests.

Supporting source [1]

Machine learning and cohort needs

The consensus supports machine-learning models for assessing biological age and calls for multi-center cohorts and translational collaboration to improve kidney health in older people. The abstract does not report model performance, cohort sizes or follow-up, so the practical value of these models remains untested here.

Supporting source [1]

How to interpret this

This explainer is based only on the abstract; the full text was not reviewed. The abstract reports a proposed framework, not validated biomarkers, and gives no model performance, cohort sizes or follow-up.

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

Source & supporting passages

[1]
A framework of biomarkers for renal aging: a consensus statement by the Aging Biomarker Consortium.

Aging Biomarker Consortium, Zhang X, Chen A, Lv L, Ma L, Zheng Y, Ma B, Zhong Z, Jing Y, Qiu A, Shao Y, Zhang W, Cen J, Zhou L, Chen W, Zhang C, Li J, Chen J, Yang B, Liu Y, Qu J, Yi F, Zhao J, Liu BC, Ruan XZ, Lu L, Zheng F, Liu GH, Pei G, Nie J, Guan Y. · europepmc.org · July 13, 2026

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

    independent risk factor for kidney and systemic
  2. Finding 2 ↑

    convened an expert consensus meeting in Shanghai
  3. Finding 3 ↑

    machine-learning models for biological age assessment

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

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