Evidence map›Paper›PMID 39280009›Full record

ArticleFrontiers in endocrinology2024

Mitochondrial dysfunction and onset of type 2 diabetes along with its complications: a multi-omics Mendelian randomization and colocalization study.

Yang Li, Yahu Miao, Qing Feng, Weixi Zhu, Yijing Chen, Qingqing Kang, Zhen Wang, Fangting Lu, Qiu Zhang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Molecules (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. New Insights into the Role of Mitochondrial Dysfunction in Diabetic Kidney Disease in the Omics Era.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Yang Li *Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yahu Miao *Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Qing Feng *Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Weixi ZhuDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yijing ChenDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Qingqing KangDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhen WangDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Fangting LuDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Qiu ZhangDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitochondrial dysfunction plays a crucial role in Type 2 Diabetes Mellitus (T2DM) and its complications. However, the genetic pathophysiology remains under investigation. Through multi-omics Mendelian Randomization (MR) and colocalization analyses, we identified mitochondrial-related genes causally linked with T2DM and its complications. Methods: Summary-level quantitative trait loci data at methylation, RNA, and protein levels were retrieved from European cohort studies. GWAS summary statistics for T2DM and its complications were collected from the DIAGRAM and FinnGen consortiums, respectively. Summary-data-based MR was utilized to estimate the causal effects. The heterogeneity in dependent instrument test assessed horizontal pleiotropy, while colocalization analysis determined whether genes and diseases share the same causal variant. Enrichment analysis, drug target analysis, and phenome-wide MR were conducted to further explore the biological functions, potential drugs, and causal associations with other diseases. Results: Integrating evidence from multi-omics, we identified 18 causal mitochondrial-related genes. Enrichment analysis revealed they were not only related to nutrient metabolisms but also to the processes like mitophagy, autophagy, and apoptosis. Among these genes, Tu translation elongation factor mitochondrial ( Conclusions: This study identified 18 mitochondrial-related genes causally associated with T2DM at multi-omics levels, enhancing the understanding of mitochondrial dysfunction in T2DM and its complications.

Indexed as

Diabetes Mellitus, Type 2Mendelian Randomization AnalysisMitochondriaDiabetes ComplicationsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultiomicsQuantitative Trait Locicolocalization analysisdiabetic complicationsMendelian randomizationmitochondrial dysfunctionmitophagytype 2 diabetes

Identifiers

PMID39280009
PMCPMC11392782

What Socratic holds

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LicenceCC BY
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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.