Evidence map›Paper›PMID 41959396›Full record

ArticlebioRxiv : the preprint server for biology2026

Serum metabolic signatures of cognitive resilience in a longitudinal aging cohort.

Toon A W Scheurink, Jeong In Seo, Lurian Caetano David, Crystal X Wang, Deyvis Solis, Jasmine Zemlin, Jaclyn Bergstrom, Pieter C Dorrestein, Ipsita Mohanty, Anthony J A Molina

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

10 authors.

Toon A W ScheurinkCenter for Clinical Neuroscience and Cognition, University Medical Centre Groningen (UMCG), University of Groningen (RUG), Groningen, the Netherlands, 9713 GZ.ORCID 0000-0002-2944-2924
Jeong In SeoSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-0365-925X
Lurian Caetano DavidLaboratório de Métodos de Extração e Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74045-155, Brasil.ORCID 0000-0002-0457-2749
Crystal X WangSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-0525-809X
Deyvis SolisPrograma de Doctorado en Ingeniería Agroindustrial, mención Transformación Avanzada de Granos y Tubérculos Andinos, Universidad Nacional del Santa, Nuevo Chimbote, Ancash, Perú.ORCID 0000-0002-3739-0490
Jasmine ZemlinSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-0713-9956
Jaclyn BergstromSchool of Medicine, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-0212-0802
Pieter C DorresteinSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-3003-1030
Ipsita MohantyDepartment of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, United States.ORCID 0000-0001-5311-6443
Anthony J A MolinaSchool of Medicine, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-5786-4622

Funding

STUDY OF RISK FACTORS FOR OSTEOPOROSIS IN THE ELDERLYR37AG007181 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 1987 to 2010
$5.4M
Association of Alcohol and Nutrition with Cognition and Brain Structure in AgingR01AA021187 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCEVOY, LINDA KATHLEEN · 2013 to 2017
$2.9M
GENDER DIFFERENCES IN OSTEOPOROSISR01AG007181 · NIA · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 1999 to 2002
$1.6M
CVD Predictors of Cognitive Function Trajectory over 20 YearsR01AG028507 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 2007 to 2010
$1.2M
Archiving the Rancho Bernardo Study of Healthy AgingRF1AG054067 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LAUGHLIN, GAIL A, MCEVOY, LINDA KATHLEEN · 2016 to 2016
$1.2M
EPIDEMIOLOGY OF NIDDM AND IGT IN AN ADULT COMMUNITYR01DK031801 · NIDDK · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 1986 to 2000
$606k
A Prospective Study of Adiposity and Subclinical Coronary Artery DiseaseR21HL089622 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WASSEL, CHRISTINA L. · 2009 to 2010
$425k
NHLBI NIH HHS R21 HL089622NIAAA NIH HHS R01 AA021187NIA NIH HHS R01 AG007181NIA NIH HHS R01 AG028507NIA NIH HHS R37 AG007181NIA NIH HHS RF1 AG054067NIDDK NIH HHS R01 DK031801Wellcome Trust
6 · The paper itself

Abstract

Aging is typically accompanied by a progressive decline in cognitive function, yet some individuals maintain exceptional cognitive performance, even across the transition from middle to older age, defining exceptional cognitive resilience. While existing measures of resilience primarily rely on clinical assessments, its molecular determinants and early predictive markers remain poorly understood. Here, we performed untargeted LC-MS/MS profiling of longitudinal serum samples to identify metabolic signatures associated with cognitive resilience, which was established based on cognitive tests conducted over 28 years in a cohort of 237 participants. We observed associations across multiple chemical classes, including carnitines, glutamine conjugates, phosphocholines, as well as diet- and drug-derived metabolites. Chemical class-specific analyses revealed distinct metabolic profiles, including predominantly negative associations of medium-chain acylcarnitines with cognitive resilience, increased accumulation of glucuronide conjugates in individuals with low cognitive resilience, altered metabolism of the antihypertensive drug, metoprolol, and elevated levels of dietary compounds such as piperine and lutein in individuals with high cognitive resilience. By leveraging public metabolomics data, we further contextualized the metabolic signatures with respect to their organ specificity, microbial origin, and disease associations. Collectively, these metabolic features, including several previously underexplored compounds, represent promising candidates for functional characterization in mechanisms of aging biology and provide mechanistic insights into the molecular basis of cognitive resilience.

Indexed as

acylcarnitinesagingcognitive resiliencemass spectrometryuntargeted metabolomics

Identifiers

PMID41959396
PMCPMC13060078

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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 OpenQuestion graph.