Evidence map›Paper›PMID 38686877›Full record

ArticleJournal of the American Heart Association2024

Sex-Associated Metabolites and Incident Stroke, Incident Coronary Heart Disease, Hypertension, and Chronic Kidney Disease in the REGARDS Cohort.

Catharine A Couch, Zsuzsanna Ament, Amit Patki, Naruchorn Kijpaisalratana, Varun Bhave, Alana C Jones, Nicole D Armstrong, Mary Cushman, W Taylor Kimberly, M Ryan Irvin

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

Catharine A CouchDepartment of Epidemiology, School of Public Health University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0002-4568-8609
Zsuzsanna AmentDepartment of Neurology Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-0316-4348
Amit PatkiDepartment of Biostatistics, School of Public Health University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0003-2140-3856
Naruchorn KijpaisalratanaDepartment of Neurology Massachusetts General Hospital Boston MA USA.ORCID 0000-0003-3260-491X
Varun BhaveHarvard Medical School Boston MA USA.ORCID 0000-0003-4442-3454
Alana C JonesDepartment of Epidemiology, School of Public Health University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0003-3827-2426
Nicole D ArmstrongDepartment of Epidemiology, School of Public Health University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0002-6483-4560
Mary CushmanDepartment of Medicine Larner College of Medicine at the University of Vermont Burlington VT USA.ORCID 0000-0002-7871-6143
W Taylor KimberlyDepartment of Neurology Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-2519-8530
M Ryan IrvinDepartment of Epidemiology, School of Public Health University of Alabama at Birmingham Birmingham AL USA.

Funding

MECHANISMS OF HYPERTENSION AND CARDIOVASCULAR DISEASEST32HL007457 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Martin E Young · 1985 to 2026
$8.6M
Metabolomic predictors of stroke in REGARDSR01NS099209 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI KIMBERLY, WILLIAM TAYLOR · 2017 to 2021
$2.4M
NHLBI NIH HHS T32 HL007457NINDS NIH HHS R01 NS099209
6 · The paper itself

Abstract

backgroundSex disparities exist in cardiometabolic diseases. Metabolomic profiling offers insight into disease mechanisms, as the metabolome is influenced by environmental and genetic factors. We identified metabolites associated with sex and determined if sex-associated metabolites are associated with incident stoke, incident coronary heart disease, prevalent hypertension, and prevalent chronic kidney disease. METHODS AND

resultsTargeted metabolomics was conducted for 357 metabolites in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) case-cohort substudy for incident stroke. Weighted logistic regression models were used to identify metabolites associated with sex in REGARDS. Sex-associated metabolites were replicated in the HyperGEN (Hypertension Genetic Epidemiology Network) and using the literature. Weighted Cox proportional hazard models were used to evaluate associations between metabolites and incident stroke. Cox proportional hazard models were used to evaluate associations between metabolites and incident coronary heart disease. Weighted logistic regression models were used to evaluate associations between metabolites and hypertension and chronic kidney disease. Fifty-one replicated metabolites were associated with sex. Higher levels of 6 phosphatidylethanolamines were associated with incident stroke. No metabolites were associated with incident coronary heart disease. Higher levels of uric acid and leucine and lower levels of a lysophosphatidylcholine were associated with hypertension. Higher levels of indole-3-lactic acid, 7 phosphatidylethanolamines, and uric acid, and lower levels of betaine and bilirubin were associated with chronic kidney disease.

conclusionsThese findings suggest that the sexual dimorphism of the metabolome may contribute to sex differences in stroke, hypertension, and chronic kidney disease.

Indexed as

Coronary DiseaseHypertensionMetabolomicsRenal Insufficiency, ChronicStrokeAgedFemaleHumansIncidenceMaleMiddle AgedRisk AssessmentRisk FactorsSex FactorsUnited Statescardiometabolicheart diseasehypertensionkidney diseasemetabolomicssexstroke

Identifiers

PMID38686877
PMCPMC11179891

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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.