Evidence map›Paper›PMID 36753781›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2023

Metabolomic biomarkers of the mediterranean diet in pregnant individuals: A prospective study.

Liwei Chen, Jin Dai, Zhe Fei, Xinyue Liu, Yeyi Zhu, Mohammad L Rahman, Ruijin Lu, Susanna D Mitro, Jiaxi Yang, Stefanie N Hinkle and 3 more

Open access · hybridFull text read
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In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

13 authors at 7 institutions in 2 countries.

Liwei ChenDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA. Electronic address: cliwei86@ucla.edu.
Jin DaiDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA. Electronic address: daijin@ucla.edu.
Zhe FeiDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA. Electronic address: feiz@g.ucla.edu.
Xinyue LiuDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA. Electronic address: xinyue2396@g.ucla.edu.
Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA. Electronic address: yeyi.zhu@kp.org.
Mohammad L RahmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. Electronic address: mohammad.rahman2@nih.gov.
Ruijin LuEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA. Electronic address: ruijin.lu@nih.gov.
Susanna D MitroEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA. Electronic address: susanna.mitro@nih.gov.
Jiaxi YangGlobal Center for Asian Women's Health, and Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, 117549, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore. Electronic address: jiaxiyang@g.harvard.edu.
Stefanie N HinkleDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: Stefanie.hinkle@pennmedicine.upenn.edu.
Zhen ChenEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA. Electronic address: chenzhe@mail.nih.gov.
Yiqing SongDepartment of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA. Electronic address: syq1@yahoo.com.
Cuilin ZhangGlobal Center for Asian Women's Health, and Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, 117549, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore. Electronic address: obgzc@nus.edu.sg.
University of California, Los Angeles · USEunice Kennedy Shriver Center · USNational University of Singapore · SGKaiser Permanente · USNational Institutes of Health · USRichard M. Fairbanks Foundation · USUniversity of Pennsylvania · US

Funding

Reducing disparities in birth outcomes: a randomized controlled trial on CenteringPregnancyR01HD082311 · NICHD · CLEMSON UNIVERSITY · PI CROCKETT, AMY HAIRSTON, HEO, MOONSEONG · 2015 to 2019
$2.7M
Fetal Programming of Growth and Obesity: A Metabolomics ApproachK01DK120807 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ZHU, YEYI · 2019 to 2022
$699k
NICHD NIH HHS HHSN275200800001CNICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000001GNICHD NIH HHS HHSN275201000001ZNICHD NIH HHS HHSN275201000009CNICHD NIH HHS R01 HD082311NIDDK NIH HHS K01 DK120807
6 · The paper itself

Abstract

BACKGROUND AND

aimsMetabolomic profiling is a systematic approach to identifying biomarkers for dietary patterns. Yet, metabolomic markers for dietary patterns in pregnant individuals have not been investigated. The aim of this study was to identify plasma metabolomic markers and metabolite panels that are associated with the Mediterranean diet in pregnant individuals.

methodsThis is a prospective study of 186 pregnant individuals who had both dietary intake and metabolomic profiles measured from the Fetal Growth Studies-Singletons cohort. Dietary intakes during the peri-conception/1st trimester and the second trimester were accessed at 8-13 and 16-22 weeks of gestation, respectively. Adherence to the Mediterranean diet was measured by the alternate Mediterranean Diet (aMED) score. Fasting plasma samples were collected at 16-22 weeks and untargeted metabolomics profiling was performed using the mass spectrometry-based platforms. Metabolites individually or jointly associated with aMED scores were identified using linear regression and least absolute shrinkage and selection operator (LASSO) regression models with adjustment for potential confounders, respectively.

resultsAmong 459 annotated metabolites, 64 and 41 were individually associated with the aMED scores of the diet during the peri-conception/1st trimester and during the second trimester, respectively. Fourteen metabolites were associated with the Mediterranean diet in both time windows. Most Mediterranean diet-related metabolites were lipids (e.g., acylcarnitine, cholesteryl esters (CEs), linoleic acid, long-chain triglycerides (TGs), and phosphatidylcholines (PCs), amino acids, and sugar alcohols. LASSO regressions also identified a 10 metabolite-panel that were jointly associated with aMED score of the diet during the peri-conception/1st trimester (AUC: 0.74; 95% CI: 0.57, 0.91) and a 3 metabolites-panel in the 2nd trimester (AUC: 0.68; 95% CI: 0.50, 0.86).

conclusionWe identified plasma metabolomic markers for the Mediterranean diet among pregnant individuals. Some of them have also been reported in previous studies among non-pregnant populations, whereas others are novel. The results from our study warrant replication in pregnant individuals by future studies. CLINICAL TRIAL REGISTRATION NUMBER: This study was registered at ClinicalTrials.gov.

Indexed as

Diet, MediterraneanBiomarkersFastingHumansMetabolomicsProspective StudiesBiomarkersDietary patternsMediterranean dietMetabolomicsPlasma biomarkersPregnant individuals

Identifiers

PMID36753781
PMCPMC10029322
OpenAlexW4316042092

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read24
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.