Evidence map›Paper›PMID 35477353›Full record

ArticleBMC nephrology2022

Markers of kidney function, genetic variation related to cognitive function, and cognitive performance in the UK Biobank.

Erin L Richard, Linda K McEvoy, Ian J Deary, Gail Davies, Steven Y Cao, Eyal Oren, John E Alcaraz, Andrea Z LaCroix, Jan Bressler, Rany M Salem

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Association of Kidney Function With Dementia and Structural Brain Differences: A Large Population-Based Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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 at 6 institutions in 2 countries.

Erin L RichardDepartment of Family Medicine and Public Health, University of California San Diego, 9500 Gilman Dr, La Jolla, San Diego, CA, USA.
Linda K McEvoyDepartment of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA.
Ian J DearyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Gail DaviesLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Steven Y CaoDepartment of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA.
Eyal OrenGraduate School of Public Health, San Diego State University, 5500 Campanile Dr, San Diego, CA, USA.
John E AlcarazGraduate School of Public Health, San Diego State University, 5500 Campanile Dr, San Diego, CA, USA.
Andrea Z LaCroixDepartment of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA.
Jan BresslerHuman Genetics Center, Department of Epidemiology, School of Public Health, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Rany M SalemDepartment of Family Medicine and Public Health, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, School of Medicine, 9500 Gilman Dr, La Jolla, CA, 92093-0841, San Diego, USA. rsalem@ucsd.edu.
University of California, San Diego · USSan Diego State University · USHuman Longevity (United States) · USNHS Lothian · GBThe University of Texas Health Science Center at Houston · USUniversity of Edinburgh · GB

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
UCSD Integrated Cardiovascular Epidemiology FellowshipT32HL079891 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew A Allison · 2007 to 2026
$6.7M
Collaborative GWAS of Dementia, AD and related MRI and Cognitive EndophenotypesR01AG033193 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SESHADRI, SUDHA · 2009 to 2016
$4.4M
Methods for Genetic Association Analysis of Longitudinal and Multiple PhenotypesR00HL122515 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SALEM, RANY · 2017 to 2019
$732k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K026992/1NHLBI NIH HHS R00 HL122515NHLBI NIH HHS R01 HL105756NHLBI NIH HHS T32 HL079891NIA NIH HHS R01 AG033193NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

backgroundChronic kidney disease has been linked to worse cognition. However, this association may be dependent on the marker of kidney function used, and studies assessing modification by genetics are lacking. This study examined associations between multiple measures of kidney function and assessed effect modification by a polygenic score for general cognitive function.

methodsIn this cross-sectional study of up to 341,208 European ancestry participants from the UK Biobank study, we examined associations between albuminuria and estimated glomerular filtration rate based on creatinine (eGFRcre) or cystatin C (eGFRcys) with cognitive performance on tests of verbal-numeric reasoning, reaction time and visual memory. Adjustment for confounding factors was performed using multivariate regression and propensity-score matching. Interaction between kidney function markers and a polygenic risk score for general cognitive function was also assessed.

resultsAlbuminuria was associated with worse performance on tasks of verbal-numeric reasoning (β(points) = -0.09, p < 0.001), reaction time (β(milliseconds) = 7.06, p < 0.001) and visual memory (β(log errors) = 0.013, p = 0.01). A polygenic score for cognitive function modified the association between albuminuria and verbal-numeric reasoning with significantly lower scores in those with albuminuria and a lower polygenic score (p = 0.009). Compared to participants with eGFRcre ≥ 60 ml/min, those with eGFRcre < 60 ml/min had lower verbal-numeric reasoning scores and slower mean reaction times (verbal numeric reasoning β = -0.11, p < 0.001 and reaction time β = 6.08, p < 0.001 for eGFRcre < 60 vs eGFRcre ≥ 60). Associations were stronger using cystatin C-based eGFR than creatinine-based eGFR (verbal numeric reasoning β = -0.21, p < 0.001 and reaction time β = 11.21, p < 0.001 for eGFRcys < 60 vs eGFRcys ≥ 60).

conclusionsIncreased urine albumin is associated with worse cognition, but this may depend on genetic risk. Cystatin C-based eGFR may better predict cognitive performance than creatinine-based estimates.

Indexed as

AlbuminuriaCystatin CBiological Specimen BanksBiomarkersCognitionCreatinineCross-Sectional StudiesFemaleGenetic VariationHumansKidneyMaleUnited KingdomBiomarkersCreatinineCystatin CAlbuminuriaCognitive agingGlomerular filtration ratePolygenic score

Identifiers

PMID35477353
PMCPMC9047316
OpenAlexW4224999717

What OpenQuestion holds

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LicenceCC BY
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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.