A metabonomics approach as a means for identification of potential biomarkers for early diagnosis of endometriosis
Abstract
Our present study focuses on the identification of predictive biomarkers in serum for the early diagnosis of endometriosis in a minimally invasive manner using 1H-NMR based metabonomics. PLS-DA modeling of bins obtained from CPMG spectra of serum samples discriminated endometriosis patients from controls with sensitivity and specificity levels of about 80% and 90%, respectively. Compared with those from controls, serum samples from endometriosis patients showed increased levels of lactate, 3-hydroxybutyrate, alanine, leucine, valine, threonine, lysine, glycerophosphatidylcholine, succinic acid and 2-hydroxybutyrate as well as decreased levels of lipids, glucose, isoleucine and arginine. Our work offers valuable information for non-invasive diagnosis of endometriosis and may be of potential benefit to understand pathogenesis of the disease.
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A study comprising 22 women with minimal/mild endometriosis and 23 controls found higher values of Lactate, 3-Hydroxybutyrate, L-Alanine, Glycerophosphatidylcholine, L-Valine, L-Leucine, L-Threonine, 2-Hydroxybutyrate, L-Lysine, Succinic acid and lower values of Glucose, L-Isoleucine, and L-Arginine in the endometriosis group.
“A study comprising 22 women with minimal/mild endometriosis and 23 controls found higher values of Lactate, 3-Hydroxybutyrate, L-Alanine, Glycerophosphatidylcholine, L-Valine, L-Leucine, L-Threonine, 2-Hydroxybutyrate, L-Lysine, Succinic acid in the endometriosis group and lower values of Glucose, L-Isoleucine, and L-Arginine [94].”
From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [94]
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- Authors
- Dutta, M., Joshi, M., Srivastava, S., Lodh, I., Chakravarty, B., & Chaudhury, K.
- Affiliations
- Indian Institute of Technology Kharagpur (IN)
- Tata Institute of Fundamental Research (IN)
- Institute of Reproductive Medicine (IN)
- Corresponding author
- Chaudhury, Koel
- Venue
- Molecular BioSystems
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-02
- Volume
- 8
- Issue
- 12
- Pages
- 3281-3287
- ISSN
- 1742-2051 (ISSN-L)
- 1742-206X
- OpenAlex
- W1967409305
- Cited by
- 121
- References
- 48
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 15 · 2023: 8 · 2022: 10 · 2021: 8 · 2020: 9 · 2019: 8 · 2018: 4 · 2017: 9 · 2016: 13 · 2015: 9 · 2014: 7 · 2013: 7
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Molecular BioSystems (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Tata Institute of Fundamental Research
- Department of Science and Technology, Ministry of Science and Technology, India
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Chemical Sensor Technologies
- Keywords
- endometriosis, early diagnosis, serum biomarkers, predictive biomarkers, 1H NMR metabonomics, PLS-DA, non-invasive diagnosis, amino acids, lactate, beta-hydroxybutyrate, glycerophosphocholine, succinic acid, 2-hydroxybutyrate, pathogenesis
- MeSH terms
- Amino Acids, Blood Proteins, Endometriosis, Female, Humans, Lipids, Magnetic Resonance Spectroscopy, Sensitivity and Specificity, Biomarkers, Early Diagnosis, Metabolomics
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