Evidence map›Paper›PMID 32041957›Full record

ArticleNature communications2020

Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age.

Sarah E Harris, Simon R Cox, Steven Bell, Riccardo E Marioni, Bram P Prins, Alison Pattie, Janie Corley, Susana Muñoz Maniega, Maria Valdés Hernández, Zoe Morris and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–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

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

18 authors.

Sarah E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK. Sarah.Harris@igmm.ed.ac.uk.ORCID http://orcid.org/0000-0002-4941-5106
Simon R CoxCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.ORCID http://orcid.org/0000-0003-4036-3642
Steven BellUK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.ORCID http://orcid.org/0000-0001-6774-3149
Riccardo E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Bram P PrinsUK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.
Alison PattieDepartment of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Janie CorleyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Susana Muñoz ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Maria Valdés HernándezCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Zoe MorrisBrain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK.
Sally JohnTranslational Biology, Biogen, Cambridge, MA, 02142, USA.
Paola G BronsonTranslational Biology, Biogen, Cambridge, MA, 02142, USA.
Elliot M Tucker-DrobDepartment of Psychology, University of Texas, 108 E Dean Keeton St, Austin, TX, USA.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.ORCID http://orcid.org/0000-0002-9812-6642
Adam S ButterworthUK Medical Research Council/British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
ARACHIDONATE METABOLISM IN GLOMERULONEPHRITIS/VASCULITISK08HL001313 · NHLBI · WASHINGTON UNIVERSITY · PI LEFKOWITH, JAMES B · 1985 to 1988
–
Biotechnology and Biological Sciences Research Council BB/F019394/1British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946British Heart Foundation SP/09/002British Heart Foundation (BHF) RG/13/13/30194British Heart Foundation (BHF) RG/18/13/33946British Heart Foundation (BHF) SP/09/002Medical Research Council G0700704NIA NIH HHS R01 AG054628NICHD NIH HHS P2C HD042849RCUK | Medical Research Council (MRC) G0701120RCUK | Medical Research Council (MRC) G1001245RCUK | Medical Research Council (MRC) MR/K026992/1RCUK | Medical Research Council (MRC) MR/L003120/1RCUK | Medical Research Council (MRC) MR/M013111/1RCUK | Medical Research Council (MRC) MR/R024065/1
6 · The paper itself

Abstract

Identifying biological correlates of late life cognitive function is important if we are to ascertain biomarkers for, and develop treatments to help reduce, age-related cognitive decline. Here, we investigated the associations between plasma levels of 90 neurology-related proteins (Olink® Proteomics) and general fluid cognitive ability in the Lothian Birth Cohort 1936 (LBC1936, N = 798), Lothian Birth Cohort 1921 (LBC1921, N = 165), and the INTERVAL BioResource (N = 4451). In the LBC1936, 22 of the proteins were significantly associated with general fluid cognitive ability (β between -0.11 and -0.17). MRI-assessed total brain volume partially mediated the association between 10 of these proteins and general fluid cognitive ability. In an age-matched subsample of INTERVAL, effect sizes for the 22 proteins, although smaller, were all in the same direction as in LBC1936. Plasma levels of a number of neurology-related proteins are associated with general fluid cognitive ability in later life, mediated by brain volume in some cases.

Indexed as

AgingAgedAged, 80 and overBiomarkersBrainCognitionFemaleHumansMaleNerve Tissue ProteinsProteomicsBiomarkersNerve Tissue Proteins

Identifiers

PMID32041957
PMCPMC7010796

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.