Evidence map›Paper›PMID 37443030›Full record

ArticleNutrition & metabolism2023

Chorionicity-associated variation in metabolic phenotype of cord blood in twin.

Xiaoyu Liu, Jing Yang, Rui Ran, Fei Long, Yang Yang, Xiaojing Dong, Richard Saffery, Boris Novakovic, Hatem Mousa, Yuan Wei and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

12 authors at 7 institutions in 3 countries.

Xiaoyu Liu *Department of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jing Yang *Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Rui RanDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fei LongState Key Laboratory of Ultrasound Engineering in Medicine Co-Founded by Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Yang YangDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaojing DongDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Richard SafferyMolecular Immunity, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Boris NovakovicMolecular Immunity, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Hatem MousaUniversity of Leicester, NHS Trust, Leicester, UK.
Yuan WeiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. weiyuanbysy@163.com.
Lina HuDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. cqhulina@126.com.
Ting-Li HanDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. tinglihan@cqmu.edu.cn.
Chongqing Medical University · CNDalian Medical University · CNPeking University · CNThe University of Melbourne · AUPeking University Third Hospital · CNSecond Affiliated Hospital of Chongqing Medical University · CNUniversity Hospitals of Leicester NHS Trust · GB

Funding

Chongqing Municipal Education Commission KJZD-K202100407Chongqing Science and Technology Commission cstc2021jcyj-msxmX0213National Natural Science Foundation of China No. 81871185
6 · The paper itself

Abstract

backgroundMonochorionic (MC) twins present a higher incidence of unfavorable clinical perinatal outcomes than dichorionic (DC) twins, often in association with placental vascular anastomosis. In this study, we profiled the umbilical cord plasma metabolomes of uncomplicated MC and DC twin pregnancies and related these to several offspring outcomes, previously associated with birthweight.

methodsUmbilical vein blood samples were collected at birth from 25 pairs of uncomplicated MC twins and 24 pairs of uncomplicated DC twins. The samples were subjected to gas chromatography-mass spectrometry-based metabolomics. 152 metabolites were identified from the cord plasma samples of MC and DC twins. Partial least squares discriminant analysis and pathway analysis were performed to compare within DC/MC twin pairs and between DC and MC twins. A generalized estimating equation (GEE) model was utilized to explore the correlation between metabolic differences and birthweight discordance within and between twin pairs.

resultsOur study revealed clear differences between the metabolite profiles of umbilical cord plasma of MC and DC twins. Metabolite profiles in MC within twin pairs and DC within twin pairs were characterized by the differences in 2 - hydroxyglutaramic acid levels and nicotinamide levels, respectively. The metabolic pathways of GSH, tryptophan, and fatty acid metabolism, were significantly downregulated in MC twins compared to DC twins. In addition, the concentration of caffeine and decamethyl-cyclopentasiloxane (D5) was positively correlated with birthweight in MC and DC twins.

conclusionThis study demonstrated that the altered metabolites in umbilical plasma made contributions to the different chorionicities between uncomplicated MC twins and DC twins. The chorionicity of twins seems to affect the metabolic cross-talk between co-twin pairs and be related to birthweight discordance of twins.

Indexed as

DCDichorionicMCMetabolomicsMonochorionicTwin pregnanciesUmbilical cord plasma

Identifiers

PMID37443030
PMCPMC10339575
OpenAlexW4384130867

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.