Evidence map›Paper›PMID 34211435›Full record

ArticleFrontiers in endocrinology2021

Metabolomic Profiling of Pregnancies With Polycystic Ovary Syndrome Identifies a Unique Metabolic Signature and Potential Predictive Biomarkers of Low Birth Weight.

Ilhame Diboun, Manjunath Ramanjaneya, Lina Ahmed, Mohammed Bashir, Alexandra E Butler, Omar Albagha, Abdul Badi Abou-Samra, Stephen L Atkin, Nayef A Mazloum, Mohamed A Elrayess

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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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

10 authors at 5 institutions in 3 countries.

Ilhame DibounCollege of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar.
Manjunath RamanjaneyaQatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.
Lina AhmedDepartment of Microbiology and Immunology, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar.
Mohammed BashirQatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.
Alexandra E ButlerDiabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Omar AlbaghaCollege of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar.
Abdul Badi Abou-SamraQatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.
Stephen L AtkinPost Graduate Studies and Research, Royal College of Surgeons in Ireland Bahrain, Adliya, Bahrain.
Nayef A MazloumDepartment of Microbiology and Immunology, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Qatar.
Mohamed A ElrayessBiomedical Research Center (BRC), Qatar University, Doha, Qatar.
Hamad bin Khalifa University · QAHamad Medical Corporation · QAWeill Cornell Medical College in Qatar · QAQatar University · QARoyal College of Surgeons in Ireland - Bahrain · BH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is a complex syndrome with clinical features of an endocrine/metabolic disorder. Various metabolites show significant association with PCOS; however, studies comparing the metabolic profile of pregnant women with and without PCOS are lacking. In this study, metabolomics analysis of blood samples collected from PCOS women and age and BMI matched controls in the second trimester of pregnancy was performed to identify metabolic differences between the two groups and determine their association with pregnancy outcome. Methods: Sixteen PCOS and fifty-two healthy women in their second trimester underwent targeted metabolomics of plasma samples using tandem mass spectrometry with the Biocrates MxP Results: PCOS women had lower birth weight babies compared to healthy controls. As a group, systolic blood pressure (SBP) at both second trimester and at delivery negatively correlated with birth weight. Regression models indicated significant increases in the triglycerides C20:4_C34:3 and C18:2_C38:6 in the PCOS group [false discovery rate (FDR) <0.05]. Enrichment analysis revealed significant elevations in triglycerides containing arachidonic acid, linoleic acid and palmitic acid in the PCOS group. A number of indicators of baby birth weight were identified including SBP at delivery, hexosylceramide (d18:2/24:0), ceramide (d18.0/24.1) and serine, with an AUC for all predictors combined for low birth weight (≤2500grams) of 0.88 (95%CI: 0.75-1.005, p<0.001). Conclusions: PCOS pregnancies resulted in babies with a lower birth weight, marked by a unique metabolic signature that was enriched with specific triglycerides and unsaturated fatty acids. The functional significance of these associations needs further investigation.

Indexed as

MetabolomicsAdultBiomarkersBirth WeightCross-Sectional StudiesFatty Acids, UnsaturatedFemaleHomeostasisHumansInfant, Low Birth WeightLinear ModelsPolycystic Ovary SyndromePredictive Value of TestsPregnancyPregnancy OutcomePregnancy Trimester, SecondBiomarkersFatty Acids, UnsaturatedTriglyceridesarachidonic acidbirth weightlinoleic acidmetabolomicspalmitic acidpolycystic ovary syndrome (PCOS)pregnancy

Identifiers

PMID34211435
PMCPMC8239387
OpenAlexW3166241714

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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.