Evidence map›Paper›PMID 37358742›Full record

ArticleJournal of assisted reproduction and genetics2023

Polymorphisms of mtDNA in the D-loop region moderate the associations of BMI with HOMA-IR and HOMA-β among women with polycystic ovary syndrome: a cross-sectional study.

Shitao He, Dongmei Ji, Yajing Liu, Xiaohong Deng, Weiwei Zou, Dan Liang, Yinan Du, Kai Zong, Tingting Jiang, Mengzhu Li and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Shitao He *School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
Dongmei Ji *Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Yajing Liu *Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Xiaohong Deng *Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Weiwei ZouDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Dan LiangDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Yinan DuSchool of Basic Medical Sciences, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
Kai ZongTechnical Center of Hefei Customs District, No. 329 Tunxi Road, Hefei, 230022, Anhui, China.
Tingting JiangSchool of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
Mengzhu LiSchool of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
Dongyang ZhangSchool of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
Xinyu YueDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China.
Fangbiao TaoSchool of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China. fbtao@ahmu.edu.cn.
Yunxia CaoDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei, 230022, Anhui, China. caoyunxia5972@ahmu.edu.cn.
Chunmei LiangSchool of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China. liang_chun_mei@126.com.ORCID http://orcid.org/0000-0003-1639-7543

Funding

Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province gxyq2021173Key Technologies Research and Development Program 2018YFC1004201National Key Research and Development Program 2021YFC2700901National Natural Science Foundation of China NSFC-81803260National Natural Science Foundation of China NSFC-81871216National Natural Science Foundation of China NSFC-81971455National Natural Science Foundation of China NSFC-82173532National Natural Science Foundation of China NSFC-U20A20350Postdoctoral Research Foundation of China 2021M700181
6 · The paper itself

Abstract

purposePolycystic ovary syndrome (PCOS) is one of the leading causes of infertility in women of childbearing age, and many patients with PCOS have obesity and insulin resistance (IR). Although obesity is related to an increased risk of IR, in clinical practice, PCOS patients exhibit different effects on improving insulin sensitivity after weight loss. Therefore, in the present study, we aimed to examine the moderating effect of polymorphisms of mtDNA in the D-loop region on the associations of body mass index (BMI) with the homeostasis model assessment of insulin resistance index (HOMA-IR) and pancreatic β cell function index (HOMA-β) among women with PCOS.

methodsBased on a cross-sectional study, women with PCOS were recruited from the Reproductive Center of the First Affiliated Hospital of Anhui Medical University from 2015 to 2018. A total of 520 women who were diagnosed with PCOS based on the revised 2003 Rotterdam criteria were included in the study. Peripheral blood was collected from these patients, followed by DNA extraction, PCR amplification, and sequencing at baseline. HOMA-IR and HOMA-β were calculated according to blood glucose-related indices. Moderating effect models were performed with BMI as an independent variable, polymorphisms of mtDNA in the D-loop region as moderators, and ln (HOMA-IR) and ln (HOMA-β) as dependent variables. To verify the stability of moderating effect, sensitivity analysis was performed with the quantitative insulin sensitivity check index (QUICKI), fasting plasma glucose/fasting insulin (G/I), and fasting insulin as dependent variables.

resultsBMI was positively associated with ln (HOMA-IR) and ln (HOMA-β) (β = 0.090, p < 0.001; β = 0.059, p < 0.001, respectively), and the relationship between BMI and ln (HOMA-IR) or ln (HOMA-β) was moderated by the polymorphisms of mtDNA in the D-loop region. Compared with the respective wild-type, the variant -type of m.16217 T > C enhanced the association between BMI and HOMA-IR, while the variant-type of m.16316 A > G weakened the association. On the other hand, the variant-type of m.16316 A > G and m.16203 A > G weakened the association between BMI and HOMA-β, respectively. The results of QUICKI and fasting insulin as dependent variables were generally consistent with HOMA-IR, and the results of G/I as dependent variables were generally consistent with HOMA-β.

conclusionPolymorphisms of mtDNA in the D-loop region moderate the associations of BMI with HOMA-IR and HOMA-β among women with PCOS.

Indexed as

Insulin ResistancePolycystic Ovary SyndromeBlood GlucoseBody Mass IndexCross-Sectional StudiesDNA, MitochondrialFemaleHumansInsulinObesityBlood GlucoseDNA, MitochondrialInsulinBody mass indexHOMA-IRHOMA-βModerating effectPolycystic ovary syndrome

Identifiers

PMID37358742
PMCPMC10371916

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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.