Evidence map›Paper›PMID 38453238›Full record

ArticleBMJ open diabetes research & care2024

Postprandial glucose variability and clusters of sex hormones, liver enzymes, and cardiometabolic factors in a South African cohort of African ancestry.

Bontle Masango, Julia H Goedecke, Michèle Ramsay, Karl-Heinz Storbeck, Lisa K Micklesfield, Tinashe Chikowore

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open diabetes research & care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Sex Hormones and Metabolic Dysfunction-Associated Steatotic Liver Disease.International journal of molecular sciences · 2025
    Review
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

6 authors at 4 institutions in 2 countries.

Bontle MasangoDivision of Human Genetics, National Health Laboratory Service (NHLS), School of Pathology, University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa.ORCID 0000-0003-4856-9741
Julia H GoedeckeSouth African Medical Research Council/University of the Witwatersrand, Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa.
Michèle RamsaySydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa.
Karl-Heinz StorbeckDepartment of Biochemistry, Stellenbosch University, Stellenbosch, South Africa.
Lisa K MicklesfieldSouth African Medical Research Council/University of the Witwatersrand, Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa.
Tinashe ChikoworeSouth African Medical Research Council/University of the Witwatersrand, Developmental Pathways for Health Research Unit (DPHRU), University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa tinashe.chikowore@channing.harvard.edu.
South African Medical Research Council · ZANational Health Laboratory Service · ZAStellenbosch University · ZAUniversity of the Witwatersrand · ZA

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

introductionThis study aimed to, first, determine the clusters of sex hormones, liver enzymes, and cardiometabolic factors associated with postprandial glucose (PPG) and, second to evaluate the variation these clusters account for jointly and independently with polygenic risk scores (PRSs) in South Africans of African ancestry men and women. RESEARCH DESIGN AND

methodsPPG was calculated as the integrated area under the curve for glucose during the oral glucose tolerance test (OGTT) using the trapezoidal rule in 794 participants from the Middle-aged Soweto Cohort. Principal component analysis was used to cluster sex hormones, liver enzymes, and cardiometabolic factors, stratified by sex. Multivariable linear regression was used to assess the proportion of variance in PPG accounted for by principal components (PCs) and type 2 diabetes (T2D) PRS while adjusting for selected covariates in men and women.

resultsThe T2D PRS did not contribute to the PPG variability in both men and women. In men, the PCs' cluster of sex hormones, liver enzymes, and cardiometabolic explained 10.6% of the variance in PPG, with PC1 (peripheral fat), PC2 (liver enzymes and steroid hormones), and PC3 (lipids and peripheral fat) contributing significantly to PPG. In women, PC factors of sex hormones, cardiometabolic factors, and liver enzymes explained a similar amount of the variance in PPG (10.8%), with PC1 (central fat) and PC2 (lipids and liver enzymes) contributing significantly to PPG.

conclusionsWe demonstrated that inter-individual differences in PPG responses to an OGTT may be differentially explained by body fat distribution, serum lipids, liver enzymes, and steroid hormones in men and women.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Blood GlucoseFemaleGlucoseGonadal Steroid HormonesHumansLipidsLiverMaleMiddle AgedSouth AfricaSteroidsBlood GlucoseGlucoseGonadal Steroid HormonesLipidsSteroidsLipidsMetabolismPostprandial GlucoseType 2 Diabetes

Identifiers

PMID38453238
PMCPMC10921533
OpenAlexW4392555905

What OpenQuestion holds

Textmetadata
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.