Evidence map›Paper›PMID 37154845›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Discovery of novel metabolic signatures for early identification of women at risk of developing gestational hypertension.

Sanjukta Dasgupta, Elavarasan Subramani, Imon Mitra, Anindita Bhattacharya, Da Doma Sherpa, Mamata Joshi, Pratip Chakraborty, Chaitali Datta Ray, Koel Chaudhury

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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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 6% 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, 14 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

9 authors at 5 institutions in 2 countries.

Sanjukta DasguptaSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Elavarasan SubramaniDepartment of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, USA.
Imon MitraSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Anindita BhattacharyaSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Da Doma SherpaSchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Mamata JoshiNational Facility for High-field NMR, Tata Institute of Fundamental Research, Mumbai, India.
Pratip ChakrabortyInstitute of Reproductive Medicine, Salt Lake, Kolkata, India.
Chaitali Datta RayDepartment of Obstetrics & Gynaecology, Institute of Post Graduate Medical Education and Research (IPGMER) - SSKM Hospital, Kolkata, India.
Koel ChaudhurySchool of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India. koel@smst.iitkgp.ac.in.
Indian Institute of Technology Kharagpur · INInstitute of Post Graduate Medical Education and Research · INInstitute of Reproductive Medicine · INTata Institute of Fundamental Research · INThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGestational hypertension (GH) is defined as the presence of systolic blood pressure (BP) ≥ 140 mm Hg and/or diastolic BP ≥ 90 mm Hg, measured at least 4 h apart after 20 weeks of gestation. Early identification of women at high-risk of developing GH could contribute significantly towards improved maternal and fetal outcomes.

objectivesTo determine early metabolic biomarkers in women with GH as compared with normotensive women.

methodsSerum samples were collected from subjects during three stages of their pregnancy: 8-12 weeks, 18-20 weeks and after 28 weeks (< 36 weeks) of gestation and studied using nuclear magnetic resonance (NMR) metabolomics approach. Multivariate and univariate analyses were performed to determine the significantly altered metabolites in GH women.

resultsA total of 10 metabolites, including isoleucine, glutamine, lysine, proline, histidine, phenylalanine, alanine, carnitine, N-acetyl glycoprotein and lactic acid were observed to be significantly downregulated during all pregnancy stages in women with GH as compared with controls. Furthermore, expression of 5 metabolites in the first trimester i.e., phenylalanine [area under the curve (AUC) = 0.745], histidine [AUC = 0.729], proline [AUC = 0.722], lactic acid [AUC = 0.722], and carnitine [AUC = 0.714] exhibited highest potential in discriminating GH from normotensive women.

conclusionThe present study is the first of its kind to identify significantly altered metabolites that have the potential to discriminate between women at risk of developing GH and normotensive women across three trimesters of pregnancy. This opens up the possibility of exploring these metabolites as potential early predictive markers of GH.

Indexed as

Hypertension, Pregnancy-InducedPre-EclampsiaFemaleHistidineHumansMetabolomicsPhenylalaninePregnancyHistidinePhenylalanineGestational hypertensionMetabolomicsNMRPredictive markers

Identifiers

PMID37154845
OpenAlexW4375955013

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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.