Evidence map›Paper›PMID 37060499›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood.

Onur Turkoglu, Ali Alhousseini, Sonia Sajja, Jay Idler, Sean Stuart, Nadia Ashrafi, Ali Yilmaz, Kurt Wharton, Stewart F Graham, Ray O Bahado-Singh

Open access · bronzeAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 7 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 2 institutions in 1 country.

Onur TurkogluDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA. Onur.turkoglu@corewellhealth.org.ORCID https://orcid.org/0000-0003-4286-7481
Ali AlhousseiniDepartment of Maternal-Fetal Medicine, Sparrow Hospital, Michigan State University, Lansing, MI, 48912, USA.
Sonia SajjaDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Jay IdlerDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Sean StuartDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Nadia AshrafiMetabolomics Department, Beaumont Research Institute, Corewell Health, William Beaumont University Hospital, Royal Oak, MI, 48073, USA.
Ali YilmazMetabolomics Department, Beaumont Research Institute, Corewell Health, William Beaumont University Hospital, Royal Oak, MI, 48073, USA.
Kurt WhartonDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Stewart F GrahamDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Ray O Bahado-SinghDepartment of Obstetrics and Gynecology, Corewell Health, Oakland University William Beaumont School of Medicine, 3535 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.
Oakland University · USSparrow Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe impact of maternal coronavirus disease 2019 (COVID-19) infection on fetal health remains to be precisely characterized.

objectivesUsing metabolomic profiling of newborn umbilical cord blood, we aimed to investigate the potential fetal biological consequences of maternal COVID-19 infection.

methodsCord blood plasma samples from 23 mild COVID-19 cases (mother infected/newborn negative) and 23 gestational age-matched controls were analyzed using nuclear magnetic spectroscopy and liquid chromatography coupled with mass spectrometry. Metabolite set enrichment analysis (MSEA) was used to evaluate altered biochemical pathways due to COVID-19 intrauterine exposure. Logistic regression models were developed using metabolites to predict intrauterine exposure.

resultsSignificant concentration differences between groups (p-value < 0.05) were observed in 19 metabolites. Elevated levels of glucocorticoids, pyruvate, lactate, purine metabolites, phenylalanine, and branched-chain amino acids of valine and isoleucine were discovered in cases while ceramide subclasses were decreased. The top metabolite model including cortisol and ceramide (d18:1/23:0) achieved an Area under the Receiver Operating Characteristics curve (95% CI) = 0.841 (0.725-0.957) for detecting fetal exposure to maternal COVID-19 infection. MSEA highlighted steroidogenesis, pyruvate metabolism, gluconeogenesis, and the Warburg effect as the major perturbed metabolic pathways (p-value < 0.05). These changes indicate fetal increased oxidative metabolism, hyperinsulinemia, and inflammatory response.

conclusionWe present fetal biochemical changes related to intrauterine inflammation and altered energy metabolism in cases of mild maternal COVID-19 infection despite the absence of viral infection. Elucidation of the long-term consequences of these findings is imperative considering the large number of exposures in the population.

Indexed as

COVID-19Fetal BloodFemaleFetusHumansInfant, NewbornMetabolomicsPregnancyPrenatal CareCord bloodCOVID-19FetusMass spectrometryMetabolitesMetabolomicsNuclear magnetic resonance spectroscopyPregnancy

Identifiers

PMID37060499
PMCPMC10105349
OpenAlexW4365811034

What OpenQuestion holds

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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.