Enhanced analysis of endometriosis patients’ plasma using #Enzian annotation highlights potential biomarkers for early-stages of disease

Endometriosis is a chronic inflammatory condition marked by the presence of endometrial-like tissue outside the uterus, often co-occurring with leiomyoma and presenting a diagnostic challenge. We analyzed 96 plasma cytokines and inflammatory markers in 86 women undergoing surgery for suspected endometriosis, using multiplex assays and unsupervised clustering methods. Patients were classified using both rASRM and the more granular #Enzian system to assess lesion-specific and stage-specific biomarker patterns. We identified five distinct patient clusters reflecting disease heterogeneity, with improved resolution using the #Enzian classification. Notably, the presence of leiomyoma influenced cytokine profiles, potentially obscuring biomarker signals. Key biomarkers including perforin, TRAIL, sFasL, IL-17F, PDGF, VEGFA, and MCP-2 were associated with disease presence and stage. These findings highlight the value of advanced classification systems and emphasize the importance of accounting for comorbid conditions. Our results support the development of non-invasive biomarker panels for earlier and more accurate diagnosis of endometriosis.

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Publication Details

Journal
npj Women s Health
Published
2025-10-28
DOI
https://doi.org/10.1038/s44294-025-00099-3
Citations
1
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
1.70

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article

Enhanced analysis of endometriosis patients’ plasma using #Enzian annotation highlights potential biomarkers for early-stages of disease

Patrick Imesch, Isabell Witzel, Julian Matthias Metzler, Valentina Vongrad et al.
1 citations
npj Women s Health
Endometriosis Research and Treatment
1.70
article

Enhanced analysis of endometriosis patients’ plasma using #Enzian annotation highlights potential biomarkers for early-stages of disease

Patrick Imesch, Isabell Witzel, Julian Matthias Metzler, Valentina Vongrad, Marianne R. Spalinger, Marcus D. Hartmann, Daniel Rodriguez Gutierrez, Brigitte Leeners, Alina Astourian, Lucie Berclaz
article en
1 citations

Abstract

Endometriosis is a chronic inflammatory condition marked by the presence of endometrial-like tissue outside the uterus, often co-occurring with leiomyoma and presenting a diagnostic challenge. We analyzed 96 plasma cytokines and inflammatory markers in 86 women undergoing surgery for suspected endometriosis, using multiplex assays and unsupervised clustering methods. Patients were classified using both rASRM and the more granular #Enzian system to assess lesion-specific and stage-specific biomarker patterns. We identified five distinct patient clusters reflecting disease heterogeneity, with improved resolution using the #Enzian classification. Notably, the presence of leiomyoma influenced cytokine profiles, potentially obscuring biomarker signals. Key biomarkers including perforin, TRAIL, sFasL, IL-17F, PDGF, VEGFA, and MCP-2 were associated with disease presence and stage. These findings highlight the value of advanced classification systems and emphasize the importance of accounting for comorbid conditions. Our results support the development of non-invasive biomarker panels for earlier and more accurate diagnosis of endometriosis.

npj Women s HealthVol. 3(1)
University Hospital of Zurich (CH)
Universitätsspital Zürich, Innosuisse - Schweizerische Agentur für Innovationsförderung
Openalex Percentile: Top 12%
Endometriosis Research and Treatment
1.70
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