Evidence mapPaperPMID 36585686Full record

ArticleClinical epigenetics2022

Genome-wide placental DNA methylations in fetal overgrowth and associations with leptin, adiponectin and fetal growth factors.

Meng-Nan Yang, Rong Huang, Tao Zheng, Yu Dong, Wen-Juan Wang, Ya-Jie Xu, Vrati Mehra, Guang-Di Zhou, Xin Liu, Hua He and 9 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
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  9. Molecular pathways in placental-fetal development and disruption.Molecular and cellular endocrinology · 2024
    Review
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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

19 authors at 6 institutions in 3 countries.

Meng-Nan Yang *Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Rong Huang *Lunenfeld-Tanenbaum Research Institute, Prosserman Centre for Population Health Research, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Faculty of Medicine, University of Toronto, L5-240, Murray Street 60, Toronto, ON, M5G 1X5, Canada.
Tao ZhengDepartment of Obstetrics and Gynecology, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Yu DongMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Wen-Juan WangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Ya-Jie XuMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Vrati MehraLunenfeld-Tanenbaum Research Institute, Prosserman Centre for Population Health Research, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Faculty of Medicine, University of Toronto, L5-240, Murray Street 60, Toronto, ON, M5G 1X5, Canada.
Guang-Di ZhouMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Xin LiuMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Hua HeMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Fang FangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Fei LiMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Jian-Gao FanCenter for Fatty Liver, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Jun ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Fengxiu OuyangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China.
Laurent BriollaisLunenfeld-Tanenbaum Research Institute, Prosserman Centre for Population Health Research, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Faculty of Medicine, University of Toronto, L5-240, Murray Street 60, Toronto, ON, M5G 1X5, Canada.
Jiong LiMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China. jl@clin.au.dk.
Zhong-Cheng LuoMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, 200092, China. zcluo@lunenfeld.ca.
Shanghai Birth Cohort
Shanghai Jiao Tong University · CNXinHua Hospital · CNLunenfeld-Tanenbaum Research Institute · CAMount Sinai Hospital · CAAarhus University · DKUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFetal overgrowth "programs" an elevated risk of type 2 diabetes in adulthood. Epigenetic alterations may be a mechanism in programming the vulnerability. We sought to characterize genome-wide alterations in placental gene methylations in fetal overgrowth and the associations with metabolic health biomarkers including leptin, adiponectin and fetal growth factors.

resultsComparing genome-wide placental gene DNA methylations in large-for-gestational-age (LGA, an indicator of fetal overgrowth, n = 30) versus optimal-for-gestational-age (OGA, control, n = 30) infants using the Illumina Infinium Human Methylation-EPIC BeadChip, we identified 543 differential methylation positions (DMPs; 397 hypermethylated, 146 hypomethylated) at false discovery rate < 5% and absolute methylation difference > 0.05 after adjusting for placental cell-type heterogeneity, maternal age, pre-pregnancy BMI and HbA1c levels during pregnancy. Twenty-five DMPs annotated to 20 genes (QSOX1, FCHSD2, LOC101928162, ADGRB3, GCNT1, TAP1, MYO16, NAV1, ATP8A2, LBXCOR1, EN2, INCA1, CAMTA2, SORCS2, SLC4A4, RPA3, UMAD1,USP53, OR2L13 and NR3C2) could explain 80% of the birth weight variations. Pathway analyses did not detect any statistically significant pathways after correcting for multiple tests. We validated a newly discovered differentially (hyper-)methylated gene-visual system homeobox 1 (VSX1) in an independent pyrosequencing study sample (LGA 47, OGA 47). Our data confirmed a hypermethylated gene-cadherin 13 (CDH13) reported in a previous epigenome-wide association study. Adiponectin in cord blood was correlated with its gene methylation in the placenta, while leptin and fetal growth factors (insulin, IGF-1, IGF-2) were not.

conclusionsFetal overgrowth may be associated with a large number of altered placental gene methylations. Placental VSX1 and CDH13 genes are hypermethylated in fetal overgrowth. Placental ADIPOQ gene methylations and fetal circulating adiponectin levels were correlated, suggesting the contribution of placenta-originated adiponectin to cord blood adiponectin.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2AdiponectinAdultCalcium-Binding ProteinsCarrier ProteinsDNA MethylationFemaleFetal BloodFetal DevelopmentFetal MacrosomiaGestational AgeHumansIntercellular Signaling Peptides and ProteinsLeptinMembrane ProteinsAdiponectinCalcium-Binding ProteinsCAMTA2 protein, humanCarrier ProteinsFCHSD2 protein, humanIntercellular Signaling Peptides and ProteinsLeptinMembrane ProteinsTrans-ActivatorsUbiquitin-Specific ProteasesUSP53 protein, humanAdiponectinFetal overgrowthGene methylationInsulinLeptinPlacenta

Identifiers

PMID36585686
PMCPMC9801645
OpenAlexW4313299824

What Socratic holds

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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 Socratic graph.