Evidence map›Paper›PMID 36313763›Full record

ArticleFrontiers in endocrinology2022

Contribution of mitochondrial gene variants in diabetes and diabetic kidney disease.

Meng Li, Siqian Gong, Xueyao Han, Lingli Zhou, Simin Zhang, Qian Ren, Xiaoling Cai, Yingying Luo, Wei Liu, Yu Zhu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Meng LiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Siqian GongDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Xueyao HanDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Lingli ZhouDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Simin ZhangDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Qian RenDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Xiaoling CaiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Yingying LuoDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Wei LiuDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Yu ZhuDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Xianghai ZhouDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Yufeng LiDepartment of Endocrinology, Pinggu Teaching Hospital, Capital Medical University, Beijing, China.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Peking University · CNPeking University People's Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Mitochondrial DNA (mtDNA) plays an important role in the pathogenesis of diabetes. Variants in mtDNA have been reported in diabetes, but studies on the whole mtDNA variants were limited. Our study aims to explore the association of whole mtDNA variants with diabetes and diabetic kidney disease (DKD). Methods: The whole mitochondrial genome was screened by next-generation sequencing in cohort 1 consisting of 50 early-onset diabetes (EOD) patients with a maternally inherited diabetes (MID) family history. A total of 42 variants possibly associated with mitochondrial diseases were identified according to the filtering strategy. These variants were sequenced in cohort 2 consisting of 90 EOD patients with MID. The association between the clinical phenotype and these variants was analyzed. Then, these variants were genotyped in cohort 3 consisting of 1,571 type 2 diabetes mellitus patients and 496 subjects with normal glucose tolerance (NGT) to analyze the association between variants with diabetes and DKD. Results: Patients with variants in the non-coding region had a higher percentage of obesity and levels of fasting insulin (62.1% vs. 24.6%, P = 0.001; 80.0% vs. 26.5% P < 0.001). The patients with the variants in rRNA had a higher prevalence of obesity (71.4% vs. 30.3%, P = 0.007), and the patients with the variants in mitochondrial complex I had a higher percentage of the upper tertile of FINS (64.3% vs. 34.3%, P = 0.049). Among 20 homogeneous variants successfully captured, two known variants (m.A3943G, m.A10005G) associated with other mitochondrial diseases were only in the diabetic group, but not in the NGT group, which perhaps indicated its possible association with diabetes. The prevalence of DKD was significantly higher in the group with the 20 variants than those without these variants (18.7% vs. 14.6%, P = 0.049) in the participants with diabetes of cohort 3. Conclusion: MtDNA variants are associated with MID and DKD, and our findings advance our understanding of mtDNA in diabetes and DKD. It will have important implications for the individual therapy of mitochondrial diabetes.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesMitochondrial DiseasesDNA, MitochondrialGenes, MitochondrialHumansObesityDNA, Mitochondrialdiabetesdiabetic kidney diseaseinsulin resistancemitochondrial diabetesmitochondrial DNA

Identifiers

PMID36313763
PMCPMC9597463
OpenAlexW4304687727

What OpenQuestion 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 OpenQuestion graph.