Evidence map›Paper›PMID 36806755›Full record

ArticleCommunications medicine2023

Higher mitochondrial DNA copy number is associated with metformin-induced weight loss.

Jing Wang, Hua Liang, Rong Huang, Xiong Weng, Li Zheng, You Wang, Xueying Zheng, Zhenglong Gu, Fei Chen, Jian Shao and 6 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. 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
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

16 authors at 10 institutions in 2 countries.

Jing Wang *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Hua Liang *Department of Endocrinology and Metabolism, The Third Affiliated Hospital, Sun Yat-sen University, and Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, 510630, Guangdong, China.
Rong Huang *Medical Science and Technology Innovation Center, Jinan Central Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China.
Xiong WengDivision of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK.
Li ZhengInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China.
You WangInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Xueying ZhengDepartment of Endocrinology, Institute of Endocrine and Metabolic Diseases, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Zhenglong GuCenter for Mitochondrial Genetics and Health, Greater Bay Area Institute of Precision Medicine, Guangzhou, China.
Fei ChenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Jian ShaoCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Zhaoxu GengInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Ewan R PearsonPopulation Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Jianping WengDepartment of Endocrinology, Institute of Endocrine and Metabolic Diseases, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Wenying YangDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, 100029, China. ywying_1010@163.com.
Tao XuInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China. xutao@ibp.ac.cn.
Kaixin ZhouCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. zhoukx@ucas.ac.cn.
University of Chinese Academy of Sciences · CNInstitute of Biophysics · CNUniversity of Science and Technology of China · CNChina-Japan Friendship Hospital · CNChinese Academy of Sciences · CNFudan University · CNGenomics (United Kingdom) · GBShandong First Medical University · CNThird Affiliated Hospital of Sun Yat-sen University · CNUniversity of Dundee · GB

Funding

China Postdoctoral Science Foundation 2021M703413China Postdoctoral Science Foundation BX2021342
6 · The paper itself

Abstract

backgroundConsiderable variability exists in response to metformin with few effective biomarkers to guide the treatment. Here we evaluated whether whole blood derived mitochondrial DNA copy number (mtDNA-CN) is a biomarker of metformin response as measured by glucose reduction or weight loss.

methodsUsing data from the trial of Metformin (n = 304) and AcaRbose (n = 300) in Chinese as the initial Hypoglycaemic treatment (MARCH), we examined the association between mtDNA-CN and two metformin response outcomes of HbA1c reduction and weight loss. The acarbose arm was used as a comparator group. Whole blood mtDNA-CN was estimated by deep whole genome sequencing with adjustments for confounders. Multiple linear regression and repeated measurement analyses were used to evaluate the association between mtDNA-CN and drug response outcomes.

resultsHere we show that glucose reduction is not significantly associated with mtDNA-CN and in either treatment arm. In the metformin arm, each increase of 1 SD in mtDNA-CN is significantly (P = 0.006) associated with a 0.43 kg more weight loss. Repeated measurement analysis shows that after 16 weeks of metformin monotherapy, patients in the top tertile of mtDNA-CN consistently lost 1.21 kg more weight than those in the bottom tertile (P < 0.001). In comparison, mtDNA-CN is not significantly associated with acarbose-induced weight loss.

conclusionsPatients with higher mtDNA-CN are likely to lose more weight upon metformin treatment, suggesting mtDNA-CN as a potential novel biomarker for more effective weight management in type 2 diabetes.

Identifiers

PMID36806755
PMCPMC9938854
OpenAlexW4321328841

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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.