Evidence map›Paper›PMID 40593179›Full record

ArticleScientific reports2025

Prospective association between plasma amino acids and three Multimorbidity patterns in older adults.

Grace Velapatiño-Gamarra, Alberto Lana, Humberto Yévenes-Briones, Juan Cárdenas-Valladolid, José R Banegas, Fernando Rodríguez-Artalejo, Esther López-García, Francisco Félix Caballero

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Article in Scientific reports, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Grace Velapatiño-GamarraDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Alberto LanaDepartment of Medicine, Universidad de Oviedo/ISPA, Oviedo, Spain.
Humberto Yévenes-BrionesDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Juan Cárdenas-ValladolidDirección General de Investigación y Docencia, Consejería de Sanidad de la Comunidad de Madrid, Madrid, Spain.
José R BanegasDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Fernando Rodríguez-ArtalejoDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Esther López-GarcíaDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Francisco Félix CaballeroDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain. felix.caballero@uam.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of metabolomic profiling on different multimorbidity patterns remains unknown. This study aims to assess the prospective relationship between plasma concentrations of amino acids and three different multimorbidity patterns: musculoskeletal and mental multimorbidity, cardiometabolic multimorbidity, and cardiopulmonary multimorbidity. The study comprised a total of 1488 older adults from the Seniors-ENRICA 2 Spanish cohort. Plasma concentrations of alanine, glutamine, glycine, histidine, branched-chain amino acids, and aromatic amino acids were measured. Generalized estimating equation models were used to assess the prospective association between amino acids and multimorbidity patterns. Higher plasma concentrations of branched-chain amino acids as leucine [Odds Ratio (OR) per 1-SD increment = 1.05, 95% confidence interval (CI) = 1.01-1.08)], isoleucine (OR = 1.05, 95% CI = 1.01-1.08), and valine (OR = 1.04, 95% CI = 1.01-1.08) were related to cardiometabolic multimorbidity, while lower concentrations of glycine (OR = 0.95, 95% CI = 0.91-0.99) and tyrosine (OR = 0.96, 95% CI = 0.93-0.98) were also associated with the same multimorbidity pattern. On the other hand, higher plasma concentrations of glutamine (OR = 1.18, 95% CI = 1.03-1.34) were related to cardiopulmonary multimorbidity. In conclusion, branched-chain amino acids may serve as risk markers of cardiometabolic multimorbidity in older adults. Plasma concentrations of other amino acid species such as glycine, tyrosine, and glutamine could also help to identify cardiometabolic and cardiopulmonary multimorbidity patterns.

Indexed as

Amino AcidsMultimorbidityAgedAged, 80 and overFemaleHumansMaleMetabolomicsProspective StudiesSpainAmino AcidsAmino acidsCardiometabolic Multimorbidity patternCardiopulmonary Multimorbidity patternMusculoskeletal and mental Multimorbidity patternRisk markers

Identifiers

PMID40593179
PMCPMC12214811

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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.