Untargeted metabolomics profiling of gestational diabetes mellitus: insights into early diagnosis and metabolic pathway alterations

The results showed distinct metabolic differences between women with GDM and those without, with 222 significantly dysregulated metabolites, 120 up- and 102 downregulated in GDM compared to the control group. Key metabolic pathways, such as tryptophan, inositol phosphate, phenylalanine, and histidine metabolism, were notably dysregulated in GDM. The study also found that specific metabolites, like N-Acetylproline and Serylmethionine, with area under the curve (AUC) of 0.978 and 0.968, respectively, showed high accuracy in distinguishing between GDM and non-GDM women. This study would enhance our understanding of metabolic alterations in GDM and could contribute to early prediction and management strategies.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2024-12-23
DOI
https://doi.org/10.3389/fmolb.2024.1485587
Citations
5
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
2.91
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article

Untargeted metabolomics profiling of gestational diabetes mellitus: insights into early diagnosis and metabolic pathway alterations

Muhammad Mujammami, Mohammad Alwahsh, Reem H. AlMalki, Anas M. Abdel Rahman et al.
5 citations
Frontiers in Molecular Biosciences
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article

Untargeted metabolomics profiling of gestational diabetes mellitus: insights into early diagnosis and metabolic pathway alterations

Muhammad Mujammami, Mohammad Alwahsh, Reem H. AlMalki, Anas M. Abdel Rahman, Michele Costanzo, Shereen M. Aleidi, Maha Al Mogren, Hiba Al Fahmawi
article en
5 citations

Abstract

The results showed distinct metabolic differences between women with GDM and those without, with 222 significantly dysregulated metabolites, 120 up- and 102 downregulated in GDM compared to the control group. Key metabolic pathways, such as tryptophan, inositol phosphate, phenylalanine, and histidine metabolism, were notably dysregulated in GDM. The study also found that specific metabolites, like N-Acetylproline and Serylmethionine, with area under the curve (AUC) of 0.978 and 0.968, respectively, showed high accuracy in distinguishing between GDM and non-GDM women. This study would enhance our understanding of metabolic alterations in GDM and could contribute to early prediction and management strategies.

Frontiers in Molecular BiosciencesVol. 11
University of Jordan (JO), Alfaisal University (SA), Al-Zaytoonah University of Jordan (JO), King Faisal Specialist Hospital & Research Centre (SA), King Saud Medical City (SA), King Saud University (SA), University of Sharjah (AE), CEINGE Biotecnologie Avanzate Franco Salvatore (Italy) (IT), University of Naples Federico II (IT)
Good health and well-being
Openalex Percentile: Top 8%
Gestational Diabetes Research and Management
2.91
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