Evidence mapPaperPMID 39614174Full record

SynthesisBMC nephrology2024

The impact of PPARγ and ApoE gene polymorphisms on susceptibility to diabetic kidney disease in type 2 diabetes mellitus: a meta-analysis.

Binura Taurbekova, Kymbat Mukhtarova, Zhandos Salpynov, Kuralay Atageldiyeva, Antonio Sarria-Santamera

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Lifestyles, metabolome and diabetic kidney disease: a cohort study.QJM : monthly journal of the Association of Physicians · 2026
    Article
  3. 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

5 authors.

Binura TaurbekovaDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan. binura.taurbekova@nu.edu.kz.
Kymbat MukhtarovaDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Zhandos SalpynovDepartment of Surgery, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Kuralay AtageldiyevaDepartment of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Antonio Sarria-SantameraDepartment of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan.

Funding

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP19676488
6 · The paper itself

Abstract

backgroundGlobally, diabetic kidney disease (DKD) has become the leading cause of end-stage renal disease, imposing substantial social and economic costs. This meta-analysis was designed to provide valuable insights into gene-disease interactions by investigating the potential association between lipid metabolism gene polymorphisms and the risk of DKD.

methodsAn electronic literature search was conducted on MEDLINE Complete, Web of Science, Embase, and PubMed. A total of 18 studies on the peroxisome proliferator-activated receptor γ (PPARγ) Pro12Ala variant and 20 publications concerning apolipoprotein E (ApoE) gene polymorphism were included in the meta-analysis.

resultsOverall, the PPARγ Pro12Ala polymorphism was found to be significantly associated with a decreased DKD risk (OR = 0.74, 95% CI: 0.62-0.88). In subgroup analysis, Ala carriers were less susceptible to DKD than Pro homozygotes among Asian (OR = 0.73, 95% CI: 0.56-0.95) and Caucasian populations (OR = 0.74, 95% CI: 0.59-0.93). Subgroup analysis stratified by albuminuria categories showed that the PPARγ Pro12Ala polymorphism reduced the risk of both microalbuminuria and macroalbuminuria with corresponding ORs of 0.58 (95% CI: 0.43-0.78) and 0.68 (95% CI: 0.53-0.86). Sensitivity analysis confirmed the robustness of the meta-analysis results. However, publication bias was identified in the subgroup analysis of the Caucasian population. The primary analysis of the ApoE gene polymorphism yielded significant findings, indicating that ApoE ε2/ε2, ApoE ε2/ε3, and ApoE ε2/ε4 genotypes increase the risk of DKD (ε2/ε2 vs. ε3/ε3: OR = 1.93, 95% CI: 1.03-3.61; ε2/ε3 vs. ε3/ε3: OR = 1.63, 95% CI: 1.19-2.25; ε2/ε4 vs. ε3/ε3: OR = 1.87, 95% CI: 1.37-2.55). However, sensitivity analysis suggested that influential and Hardy-Weinberg equilibrium (HWE)-violating studies may impact the overall effect estimates.

conclusionsA meta-analysis showed that PPARγ gene polymorphism may be a protective factor for DKD, whereas the ApoE ε2/ε2, ApoE ε2/ε3, and ApoE ε2/ε4 genotypes are associated with an increased risk of DKD. However, the role of ApoE gene polymorphism in susceptibility to DKD is less certain and requires further evaluation.

Indexed as

Apolipoproteins EDiabetes Mellitus, Type 2Diabetic NephropathiesGenetic Predisposition to DiseasePPAR gammaHumansPolymorphism, GeneticPolymorphism, Single NucleotideApoE protein, humanApolipoproteins EPPAR gammaApolipoprotein EDiabetic nephropathyPolymorphismPPARγPro12AlaType 2 diabetes mellitus

Identifiers

PMID39614174
PMCPMC11607899

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.