Evidence map›Paper›PMID 34650136›Full record

ArticleScientific reports2021

Study on the relationship between DNA methylation of target CpG sites in peripheral blood and gestational diabetes during early pregnancy.

Xiaolei Wang, Jin Huang, Yixiang Zheng, Sisi Long, Huijun Lin, Na Zhang, Mengyuan Tian, Xinrui Wu, Rongjing An, Shujuan Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Risk Estimation of Gestational Diabetes Mellitus in the First Trimester.The Journal of clinical endocrinology and metabolism · 2023
    Article
  8. Article
  9. Review
  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

11 authors at 2 institutions in 1 country.

Xiaolei WangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Jin HuangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Yixiang ZhengDepartment of Infectious Diseases, Key Laboratory of Viral Hepatitis of Hunan, Xiangya Hospital, Central South University, Changsha City, Hunan Province, 410078, China.
Sisi LongHospital Infection Control Center, The Second Xiangya Hospital, Central South University, Changsha City, Hunan Province, 410078, China.
Huijun LinDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Na ZhangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Mengyuan TianDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Xinrui WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Rongjing AnDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China.
Shujuan MaReproductive and Genetic Hospital of CITIC-Xiangya, Clinical Research Center for Reproduction and Genetics in Hunan Province, Changsha City, Hunan Province, 410008, China. 790039940@qq.com.ORCID 0000-0002-7858-067X
Hongzhuan TanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Xiangya Road, Kaifu District, Changsha City, Hunan Province, 410078, China. tanhz99@qq.com.ORCID 0000-0002-4292-5947
Central South University · CNReproductive & Genetic Hospital CITIC-Xiangya · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide DNA methylation profiling have been used to find maternal CpG sites related to the occurrence of gestational diabetes mellitus (GDM). However, none of these differential sites found has been verified in a larger sample. Here, our aim was to evaluate whether first trimester changes in target CpG sites in the peripheral blood of pregnancy women predict subsequent development of GDM. This nested case-control study was based upon an early pregnancy follow-up cohort (ChiCTR1900020652). Target CpG sites were extracted from related published literature and bioinformatics analysis. The DNA methylation levels at 337 CpG sites of 80 GDM cases and 80 matched healthy controls during the early pregnancy (10-15 weeks) were assessed using MethylTarget sequencing. The best cut-off level for methylation of CpG site was determined using the generated ROC curve. The independent effect of CpG site methylation status on GDM was analyzed using conditional logistic regression. Methylation levels at 6 CpG sites were significantly higher in the GDM group than in controls, whereas those at another 6 CpG sites were significantly lower (FDR < 0.05). The area under the ROC curve at each methylation level of the significant CpG sites ranged between 0.593 and 0.650 for the occurrence of GDM. After adjusting for possible confounders, the hypermethylation status of CpG site 68167324 (OR = 3.168, 1.038-9.666) and 24837915 (OR = 5.232, 1.659-16.506) was identified as more strongly associated with GDM; meanwhile, the hypermethylation of CpG site 157130156 (OR = 0.361, 0.135-0.966) and 89438648 (OR = 0.206, 0.065-0.655) might indicate lower risk of GDM. The methylation status of target CpG sites in the peripheral blood of pregnant women during the first trimester may be associated with GDM pathogenesis, and has potential as a predictor of GDM.

Indexed as

DNA MethylationAdultCase-Control StudiesCpG IslandsDiabetes, GestationalFemaleGenetic Predisposition to DiseaseHumansLogistic ModelsMiddle AgedPregnancyPregnancy Trimester, FirstROC CurveYoung Adult

Identifiers

PMID34650136
PMCPMC8516930
OpenAlexW3206883538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.