Metabolomic profile as a noninvasive adjunct tool for the diagnosis of Grades III and IV endometriosis‐related infertility
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This study identified ten serum metabolite biomarkers with 84% accuracy that can aid in noninvasively diagnosing Grade III and IV endometriosis-related infertility.
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Abstract
The aim of the present case-control study was to develop a noninvasive adjuvant tool for the diagnosis of endometriosis. Serum samples from 100 patients undergoing intracytoplasmic sperm injection were split into two groups according to the cause of infertility: an endometriosis group (n = 50), consisting of samples derived from patients with Grade III and IV endometriosis, and a control group (n = 50), comprising samples derived from patients with isolated male factor infertility. The metabolomic profile of each sample was obtained, through mass spectrometry. Partial least squares discriminant analysis was able to clearly classify the endometriosis and control groups. Ten potential biomarkers were selected based on their importance for model prediction. These ions were used to build the receiver-operating characteristic curve, which presented an area under the curve of 0.904 (95% confidence interval: 0.796-0.985). To validate the model, 30 other samples from infertile women without any evidence of endometriosis were tested. Considering these ions as possible biomarkers, the model was able to correctly classify 84% of the patients. Finally, a similar prediction potential was observed in the model validated set, when samples from the disease-free group were tested. Serum metabolomics may be useful as a noninvasive adjunct tool for the selection of patients who must undergo laparoscopy for definitive endometriosis diagnosis.
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Cited by (16)
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- Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse than Humans? 2024
- Current Role of Modern Chromatography with Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy in the Investigation of Biomarkers of Endometriosis 2023
- Endometriosis in transgender men: recognizing the missing pieces 2023
- Gut microbiota and microbiota-derived metabolites promotes endometriosis 2023
- Integrative analysis of transcriptomic and metabolomic profiles reveals abnormal phosphatidylinositol metabolism in follicles from endometriosis-associated infertility patients 2023
- Is there a role for small molecule metabolite biomarkers in the development of a diagnostic test for endometriosis? 2022
- Clinical use of artificial intelligence in endometriosis: a scoping review 2022
- Discovery and validation of peritoneal endometriosis biomarkers in peritoneal fluid and serum 2021
- Lipidomic Alterations and PPAR<i>α</i> Activation Induced by Resveratrol Lead to Reduction in Lesion Size in Endometriosis Models 2021
- [Research progress on biomarkers for endometriosis based on lipidomics]. 2020
- A pilot study of discovery and validation of peritoneal endometriosis biomarkers in peritoneal fluid and serum 2020
- Metabolomics for Diagnosis and Prognosis of Uterine Diseases? A Systematic Review 2020
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