Evidence map›Paper›PMID 42571782›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Supervised Exercise Intervention Restores Physical Activity and MultiOMIC-Derived Frailty Biomarkers in Older Adults.

Diego Marcos-Perez, Sara Cruces-Salguero, Morelva Saeteros, Rafael Garcia Molina, Ruben Alcantud-Córcoles, Cristina Alonso-Bouzon, Itziar Vergara, Sergio J Sanabria, Leocadio Rodriguez-Mañas, Pedro Abizanda and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 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

11 authors.

Diego Marcos-PerezCellular Oncology Group, Biogipuzkoa (Biodonostia) Health Research Institute, San Sebastian, Spain.
Sara Cruces-SalgueroCellular Oncology Group, Biogipuzkoa (Biodonostia) Health Research Institute, San Sebastian, Spain.
Morelva SaeterosCellular Oncology Group, Biogipuzkoa (Biodonostia) Health Research Institute, San Sebastian, Spain.
Rafael Garcia MolinaGeriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Ruben Alcantud-CórcolesGeriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Cristina Alonso-BouzonCentro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
Itziar VergaraOsakidetza Health Care Directorate, PC-IHO Research Unit of Gipuzkoa, Sebastian, Spain.
Sergio J SanabriaDeusto Institute of Technology, University of Deusto, Bilbao, Spain.
Leocadio Rodriguez-MañasCentro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
Pedro AbizandaGeriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Ander MatheuCellular Oncology Group, Biogipuzkoa (Biodonostia) Health Research Institute, San Sebastian, Spain.ORCID https://orcid.org/0000-0002-1848-0781

Funding

AECCCarlos III Institute of Health CD21/00117CIBERFES CB16/10/00408CIBERFES CB16/10/00464CIBERFES CB16/10/00496European Union and the Health Department of the Basque Country 2022333016European Union and the Health Department of the Basque Country 2023333055Instituto de Salud Carlos III (ISCIII) DTS24/00153Instituto de Salud Carlos III (ISCIII) FORT23-00026Instituto de Salud Carlos III (ISCIII) PI19/01355Instituto de Salud Carlos III (ISCIII) PI22/01905Ministry of Science, Innovation and Universities FPU23/01973
6 · The paper itself

Abstract

backgroundThe molecular mechanisms underlying frailty are under intense investigation. Independent observational studies revealed various biological processes and biomarkers differentially expressed in frail individuals and after interventions. Recently, several transcriptomic approaches have described molecular patterns associated with frailty status. However, the effects of physical exercise interventions remain unexplored. Two studies (FRAILOMIC and BIOFRAIL) identified molecular signatures associated with frailty. The objective of the study was to analyse the expression of the FRAILOMIC and BIOFRAIL biomarkers following a multicomponent personalized exercise intervention in older adults.

methodsA multi-centre study included a control (n = 24, with 14 women and 10 men, median age 80 ± 5) and an exercise intervention group (n = 44, with 38 women and 6 men, median age 79 ± 4). The latter underwent a 16-week multicomponent presential physical exercise programme; clinical, functional and frailty assessments were performed before and after the intervention in both groups. Latent class analysis identified 'responders' and 'non-responders' to the intervention. Data in a testosterone-suppressed control cohort of older men with prostatic cancer receiving androgen deprivation therapy (n = 21) were included. Molecular biomarkers were measured via qRT-PCR and ELISA.

resultsThe exercise group presented improvements in functional capacity, as shown by Short Physical Performance Battery (SPPB) (post- 10.1 vs. 9.1 in pre-intervention), grip strength (18.3 vs. 16.9 kg), gait speed (0.85 vs. 0.78 m/s), sarcopenia (2.1 vs. 3.0) and frailty status by Fried Frailty Phenotype (1.6 vs 2.1 criteria) (all ≤ 0.004). ANCOVA revealed significant improvements in SPPB (p = 0.04) and grip strength (p < 0.005) with exercise. Four of the six FRAILOMIC biomarkers (miR125b, miR194, RAGE and Troponin) and six of seven BIOFRAIL biomarkers (EGR1, CXCL8, GOS2, NSF, DDX11L1 and miR454) reversed significantly their expression after exercise training (p ≤ 0.05 for FRAIOLMIC and ≤ 0.01 for BIOFRAIL respectively). In contrast, these changes were not observed in testosterone-suppressed controls, who experienced muscle loss. Latent class analysis revealed 36 'responders' (with 32 cases from intervention group) and 29 'non-responders'. Logistic regression showed that miR454, EGR1, DDX11L1 and Troponin displayed the strongest predictive value in distinguishing responders from non-responders.

conclusionsExercise intervention improved functional status and reversed biological frailty, as evidenced by changes in multiple MultiOMIC frailty biomarkers. Among these, the BIOFRAIL trio-miR454, EGR1 and DDX11L1-showed the strongest predictive power for intervention response with AUC of 0.83. This study provides proof-of-concept for the utility of OMIC-derived frailty biomarkers as outcome measures after intervention.

Indexed as

BiomarkersExerciseExercise TherapyFrailtyAgedAged, 80 and overFemaleFrail ElderlyHumansMaleMultiomicsBiomarkersfrailtyOMIC biomarkersphysical exercise interventionresponders

Identifiers

PMID42571782
PMCPMC13453334

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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.