Evidence map›Paper›PMID 40767847›Full record

ArticleAging cell2025

A Metabolite Score of Unintentional Weight Loss Explained a Substantial Proportion of Associated Mortality and Mobility Limitation Risk in a Biracial Older Cohort.

Shanshan Yao, Megan M Marron, Samaneh Farsijani, Iva Miljkovic, George C Tseng, Ravi V Shah, Venkatesh L Murthy, Anne B Newman

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

8 authors.

Shanshan YaoUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-2125-1242
Megan M MarronUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Samaneh FarsijaniUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Iva MiljkovicUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
George C TsengUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Ravi V ShahVanderbilt University Medical Center, Nashville, Tennessee, USA.
Venkatesh L MurthyUniversity of Michigan, Ann Arbor, Michigan, USA.
Anne B NewmanUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
The relationship between protein intake, gut microbiome, inflammaging and loss of mobility in older adultsK01AG071855 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Samaneh Farsijani · 2022 to 2026
$630k
NIA NIH HHS K01 AG071855NIA NIH HHS N01-AG-6-2101NIA NIH HHS N01-AG-6-2103NIA NIH HHS N01-AG-6-2106NIA NIH HHS R01 AG028050NIA NIH HHS R01-AG028050NIA NIH HHS R01-AG-059729NINR NIH HHS R01 NR012459NINR NIH HHS R01-NR012459
6 · The paper itself

Abstract

Unintentional weight loss (UWL) is related to mortality and mobility limitation. Here, we aimed to develop a metabolite-based score for UWL and evaluate its prediction performance and explanation value for UWL-related health outcomes. Participants from the Health, Aging and Body Composition (Health ABC) study with available metabolomics and valid follow-ups were included (N = 2286). First, in the derivation group (N = 1200), 27 of the 77 metabolites associated with incident UWL (> 3% annual UWL vs. weight stable) were selected by LASSO-logistic regression. The UWL metabolite score was calculated as a weighted sum of these 27 standardized metabolites, with higher scores indicating greater UWL risk. We then examined the standardized UWL metabolite score against all-cause mortality and incident mobility limitation using Cox regression. Overall, older adults with a one-SD higher UWL metabolite score had higher risks for mortality (1.44 [1.36, 1.52]) and mobility limitation (1.23 [1.15, 1.32]). The score also improved mortality prediction beyond traditional risk factors. Similar results were observed in the hold-out test group (n = 1086). Furthermore, this score explained 28% of the UWL-mortality relationship and 22% of the UWL-mobility limitation relationship beyond lifestyle and medical history, respectively. The score also predicted higher mortality and mobility limitation among those with intentional weight loss and weight gain, demonstrating a good Out-Of-Distribution generalizability. This metabolomic characterization of UWL is predictive of key aging outcomes in the Health ABC participants and captures a substantial portion of the mortality and mobility limitation risks related to unintentional weight loss, further validating the importance of these metabolite signatures.

Indexed as

Mobility LimitationMortalityWeight LossAgedAged, 80 and overCohort StudiesFemaleHumansMaleMetabolomicsMiddle AgedRisk Factorsmetabolomicsmobilitymortalityunwanted weight loss

Identifiers

PMID40767847
PMCPMC12507400

What Socratic holds

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LicenceCC BY
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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 Socratic graph.