Evidence map›Paper›PMID 25262148›Full record

SynthesisInternational urology and nephrology2015

The association between lipid metabolism gene polymorphisms and nephropathy in type 2 diabetes: a meta-analysis.

Tingting Li, Yun Shi, Jieyun Yin, Qin Qin, Sheng Wei, Shaofa Nie, Li Liu

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in International urology and nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. iMeta · 2025
    Article
  6. Molecular mechanism of renal lipid accumulation in diabetic kidney disease.Journal of cellular and molecular medicine · 2024
    Review
  7. Article
  8. Association betweenJournal of diabetes research · 2020
    Article
  9. The Susceptibility Genes in Diabetic Nephropathy.Kidney diseases (Basel, Switzerland) · 2018
    Review
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 1 country.

Tingting LiDepartment of Epidemiology and Biostatistics, Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yun Shi
Jieyun Yin
Qin Qin
Sheng Wei
Shaofa Nie
Li Liu
Ministry of Ecology and Environment · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHyperlipidaemia has been identified as a risk factor for diabetic nephropathy via exacerbation of glomerular injury through the activation of multiple signaling pathways. This study's aim is to assess the associations between polymorphisms of genes involved in lipid metabolism, such as apolipoprotein E (ApoE), peroxisome proliferator-activated receptor γ (PPARγ), acetyl-CoA carboxylase β (ACACB), and type 2 diabetic nephropathy (T2DN).

methodsA search of the MEDLINE and Web of Science databases was used to identify relevant studies, and allele or genotype frequencies were pooled using fixed- or random-effects models.

resultsForty-five studies were included in this meta-analysis, consisting of 10,920 type 2 diabetic patients with nephropathy and 16,203 type 2 diabetic patients without nephropathy. The OR for ApoE ε2 versus ε3 was 1.49 (95% CI 1.13-1.95) in T2DN. The progression of T2DN was related to the presence of the ε2 allele and ε2 carrier with ORs of 1.72 (95% CI 1.10-2.69) and 1.78 (95% CI 1.18-2.69), respectively. The rs1801282 C>G variant in PPARγ presented a significant association with decreased T2DN risk, both in the G allele and GC/GG genotype with ORs of 0.77 (95% CI 0.68-0.87) and 0.79 (95% CI 0.69-0.92), respectively. The T allele in rs2268388 within ACACB showed an increased risk for T2DN, exhibiting an OR of 1.35 (95% CI 1.12-1.63).

conclusionsOur meta-analysis supports that the ApoE ε2 allele and ACACB rs2268388 C>T might act as promotion factors of nephropathy in type 2 diabetes, whereas PPARγ rs1801282 C>G is a promising candidate genetic variation for reducing susceptibility to T2DN.

Indexed as

Acetyl-CoA CarboxylaseApolipoproteins EDiabetes Mellitus, Type 2Diabetic NephropathiesGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, GeneticPPAR gammaACACB protein, humanAcetyl-CoA CarboxylaseApolipoproteins EPPAR gamma

Identifiers

PMID25262148
OpenAlexW2011926011

What OpenQuestion holds

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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.