Evidence map›Paper›PMID 33508744›Full record

ArticleEBioMedicine2021

Early signature in the blood lipidome associated with subsequent cognitive decline in the elderly: A case-control analysis nested within the Three-City cohort study.

Sophie Lefèvre-Arbogast, Boris P Hejblum, Catherine Helmer, Christian Klose, Claudine Manach, Dorrain Y Low, Mireia Urpi-Sarda, Cristina Andres-Lacueva, Raúl González-Domínguez, Ludwig Aigner and 9 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Integrative Multimodal Metabolomics to Early Predict Cognitive Decline Among Amyloid Positive Community-Dwelling Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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  19. Oligodendrocytes in the aging brain.Neuronal signaling · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 7 institutions in 6 countries.

Sophie Lefèvre-ArbogastUniversity of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France.
Boris P HejblumUniversity of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France; Inria SISTM, Bordeaux Sud-Ouest, Bordeaux 33000, France.
Catherine HelmerUniversity of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France.
Christian KloseLipotype GmbH, Tatzberg 47, Dresden 01307, Germany.
Claudine ManachUniversity of Clermont Auvergne, INRA, UMR1019, Human Nutrition Unit, Clermont Ferrand 63000, France.
Dorrain Y LowUniversity of Clermont Auvergne, INRA, UMR1019, Human Nutrition Unit, Clermont Ferrand 63000, France.
Mireia Urpi-SardaNutrition, Food Science and Gastronomy Department, Faculty of Pharmacy and Food Science, CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, University of Barcelona, Barcelona 08028, Spain.
Cristina Andres-LacuevaNutrition, Food Science and Gastronomy Department, Faculty of Pharmacy and Food Science, CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, University of Barcelona, Barcelona 08028, Spain.
Raúl González-DomínguezNutrition, Food Science and Gastronomy Department, Faculty of Pharmacy and Food Science, CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, University of Barcelona, Barcelona 08028, Spain.
Ludwig AignerInstitute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg 5020, Austria.
Barbara AltendorferInstitute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg 5020, Austria.
Paul J LucassenBrain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam 1098 XH, Netherlands.
Silvie R RuigrokBrain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam 1098 XH, Netherlands.
Chiara De LuciaDepartment of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, United Kingdom.
Andrea Du PreezDepartment of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, United Kingdom.
Cécile Proust-LimaUniversity of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France.
Sandrine ThuretDepartment of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, United Kingdom; Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany.
Aniko KorosiBrain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam 1098 XH, Netherlands.
Cécilia SamieriUniversity of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France. Electronic address: cecilia.samieri@u-bordeaux.fr.
Université de Bordeaux · FRInstituto de Salud Carlos III · ESKing's College London · GBNetherlands Institute for Neuroscience · NLParacelsus Medical University · ATUniversité Clermont Auvergne · FRGenotype (Germany) · DE

Funding

Medical Research Council MR/N030087/1
6 · The paper itself

Abstract

backgroundBrain lipid metabolism appears critical for cognitive aging, but whether alterations in the lipidome relate to cognitive decline remains unclear at the system level.

methodsWe studied participants from the Three-City study, a multicentric cohort of older persons, free of dementia at time of blood sampling, and who provided repeated measures of cognition over 12 subsequent years. We measured 189 serum lipids from 13 lipid classes using shotgun lipidomics in a case-control sample on cognitive decline (matched on age, sex and level of education) nested within the Bordeaux study center (discovery, n = 418). Associations with cognitive decline were investigated using bootstrapped penalized regression, and tested for validation in the Dijon study center (validation, n = 314).

findingsAmong 17 lipids identified in the discovery stage, lower levels of the triglyceride TAG50:5, and of four membrane lipids (sphingomyelin SM40:2,2, phosphatidylethanolamine PE38:5(18:1/20:4), ether-phosphatidylethanolamine PEO34:3(16:1/18:2), and ether-phosphatidylcholine PCO34:1(16:1/18:0)), and higher levels of PCO32:0(16:0/16:0), were associated with greater odds of cognitive decline, and replicated in our validation sample.

interpretationThese findings indicate that in the blood lipidome of non-demented older persons, a specific profile of lipids involved in membrane fluidity, myelination, and lipid rafts, is associated with subsequent cognitive decline.

fundingThe complete list of funders is available at the end of the manuscript, in the Acknowledgement section.

Indexed as

LipidomicsAgedAged, 80 and overAgingBiomarkersCase-Control StudiesCognitive DysfunctionCohort StudiesComorbidityFemaleGeriatric AssessmentHumansLipidsMalePublic Health SurveillanceReproducibility of ResultsBiomarkersLipidsCognitive dysfunctionDementiaLipidomicsMembrane lipidsMetabolomicsSerum biomarker

Identifiers

PMID33508744
PMCPMC7841305
OpenAlexW3123085888

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.