ArticleChinese medical journal2015
Identification of biomarkers for endometriosis using clinical proteomics.
Article in Chinese medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis.Journal of translational medicine · 2024Pooled it
- The effects of coagulation factors on the risk of endometriosis: a Mendelian randomization study.BMC medicine · 2023Pooled it
- Blood biomarkers for the non-invasive diagnosis of endometriosis.The Cochrane database of systematic reviews · 2016Pooled it
- Integrative serum proteomic and metabolomic profiling in ovarian endometrioma: an exploratory multi-omics study.Frontiers in medicine · 2026Article
- Review
- FGA Controls VEGFA Secretion to Promote Angiogenesis by Activating the VEGFR2-FAK Signalling Pathway.Frontiers in endocrinology · 2022Article
- Impaired Expression of Ectonucleotidases in Ectopic and Eutopic Endometrial Tissue Is in Favor of ATP Accumulation in the Tissue Microenvironment in Endometriosis.International journal of molecular sciences · 2019Article
- Proteomic Screening for Serum Biomarkers for Cervical Cancer and Their Clinical Significance.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Endometriosis Fertility Index for Predicting Pregnancy after Endometriosis Surgery.Chinese medical journal · 2017Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe investigated possible biomarkers for endometriosis (EM) using the ClinProt technique and proteomics methods.
methodsWe enrolled 50 patients with EM, 34 with benign ovarian neoplasms and 40 healthy volunteers in this study. Serum proteomic spectra were generated by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MS) combined with weak cationic exchange (WCX) magnetic beads. Possible biomarkers were analyzed by a random and repeat pattern model-validation method that we designed, and ClinProtools software, results were refined using online liquid chromatography-tandem MS.
resultsWe found a cluster of 5 peptides (4210, 5264, 2660, 5635, and 5904 Da), using 3 peptides (4210, 5904, 2660 Da) to discriminate EM patients from healthy volunteers, with 96.67% sensitivity and 100% specificity. We selected 4210 and 5904 m/z, which differed most between patients with EM and controls, and identified them as fragments of ATP1B4, and the fibrinogen alpha (FGA) isoform 1/2 of the FGA chain precursor, respectively.
conclusionsClinProt can identify EM biomarkers, which - most notably - distinguish even early-stage or minimal disease. We found 5 stable peaks at 4210, 5264, 2660, 5635, and 5904 Da as potential EM biomarkers, the strongest of which were associated with ATP1B4 (4210 Da) and FGA (5904 Da); this indicates that ATP1B4 and FGA are associated with EM pathogenesis.
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