Evidence mapPaperPMID 40524645Full record

ArticleScience progress

Genetically proxied inhibition of kidney function pathways and increased risk of type 2 diabetes in Africans: A Mendelian randomization study.

Abdoulaye Diawara, Mariam Traore, Oudou Diabaté, Christopher Kintu, Ali Awadallah Saeed, Julianah Ore Abiola, Cheickna Cisse, Kassim Traore, Mamadou Wele, Oyekanmi Nash and 6 more

Abstract read
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Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

16 authors.

Abdoulaye DiawaraAfrican Center for Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.ORCID 0000-0001-6414-8985
Mariam TraoreLaboratory of Research in Microbiology and Microbial Biotechnology (Laborem-Biotech), University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
Oudou DiabatéUniversity of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Christopher KintuAfrican Computational Genomics Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Ali Awadallah SaeedFaculty of Pharmacy, Department of Pharmacology, National University-Sudan, Khartoum, Sudan.ORCID 0000-0003-3524-4825
Julianah Ore AbiolaCentre for Genomics Research and Innovation (CGRI), National Biotechnology Development Agency (NABDA), Abuja, Nigeria.
Cheickna CisseDepartment of Biochemistry and Molecular Biology, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
Kassim TraoreDepartment of Biochemistry, College of Osteopathic Medicine, Duquesne University, Pittsburgh, Pennsylvania, USA.
Mamadou WeleAfrican Center for Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
Oyekanmi NashUniversity of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Seydou O DoumbiaDepartment of Public Health, Faculty of Medicine and Odontostomatology (FMOS), University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
Talib Yusuf AbbasBurhani College, Mumbai, India.
Jeffrey G ShafferTulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Mahamadou DiakitéAfrican Center for Excellence in Bioinformatics of Bamako (ACE-B), University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.ORCID 0000-0002-4268-8857
Segun FatumoPrecision Healthcare University Research Institute, Queen Mary University of London, UK.
Opeyemi SoremekunAfrican Computational Genomics Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.

Funding

West Africa Center of Excellence for Data Science Research EducationUE5TW012526 · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · 2025 to 2025
$200k
FIC NIH HHS U2R TW010673FIC NIH HHS UE5 TW012526
6 · The paper itself

Abstract

ObjectiveTo investigate the causal relationship between genetically predicted inhibition of specific kidney function drug targets and the risk of type 2 diabetes (T2D) in African populations using Mendelian randomization (MR).MethodsWe used MR, a genetic proxy approach, and utilized genome-wide association study data from African participants. This assessed the causal relationship between genetically predicted inhibition of specific pathways and T2D risk. The analysis was conducted using TwoSampleMR package implemented in R.ResultsWe found that inhibiting the vascular endothelial growth factor A (VEGFA) and Ras homolog enriched in brain (RHEB) was significantly linked to T2D risk in Africans (OR 2.66, 95% CI 1.34-3.78, p = 0.0017 and OR 2.25, 95% CI 1.34-3.28, p = 0.0010, respectively). Conversely, there was no evidence that solute-like carrier family 22 member A2 or claudin-14 were associated with an increased risk of T2D (OR = 0.95, 95% CI 0.61-1.48; OR = 1.56, 95% CI 0.71-2.20, respectively).ConclusionsInsight from this study could potentially mean that some of the drugs that are used for treatment of kidney diseases involving VEGFA and RHEB may potentially increase the risk of developing T2D among Africans. This highlights how it is critical to consider drug-drug interaction in kidney diseases in Africa.

Indexed as

Black PeopleDiabetes Mellitus, Type 2KidneyMendelian Randomization AnalysisAfrican PeopleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk FactorsVascular Endothelial Growth Factor AVascular Endothelial Growth Factor AVEGFA protein, humanAfricadiabetesestimated glomerular filtration ratekidney diseaseMendelian randomization

Identifiers

PMID40524645
PMCPMC12174782

What Socratic holds

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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 Socratic graph.