Abstract
Endometriosis is a complex, chronic, and multifactorial gynecological disorder characterized by the presence of endometrial tissue outside the uterine cavity, leading to chronic inflammation, pelvic pain, and infertility. One of the major challenges in diagnosing endometriosis is the delay in detection due to nonspecific symptoms, along with the reliance on invasive laparoscopic procedures as the gold standard for confirmation. This condition highlights the urgent need for the development of safer, faster, and more accurate diagnostic methods through the identification of non-invasive biomarkers. This review aims to examine recent advances in various biomarker approaches, including hormonal, immunological, genetic, proteomic, metabolomic, and microbiome-based aspects, which contribute to the pathogenesis of endometriosis and hold potential as diagnostic tools as well as predictors of therapeutic response. The findings indicate that a multi-omics approach integrating genetic data, metabolite profiles, plasma proteins, and microbiota composition has strong potential to generate biomarker panels with higher sensitivity and specificity. Therefore, the development of multi omics-based biomarkers is expected to support early diagnosis and more personalized therapeutic strategies. This advancement represents a crucial step toward the implementation of precision medicine, ultimately improving patients’ quality of life through more effective and targeted management.
Full text
3,135 characters
· extracted from
oa-doi-fallback
· click to expand
Advancing Non Invasive Multi Omics Biomarkers for Early Diagnosis, Precision Medicine, and Improved Therapeutic Outcomes in Endometriosis Management
DOI:
https://doi.org/10.31004/jn.v10i2.57480Abstract
Endometriosis is a complex, chronic, and multifactorial gynecological disorder characterized by the presence of endometrial tissue outside the uterine cavity, leading to chronic inflammation, pelvic pain, and infertility. One of the major challenges in diagnosing endometriosis is the delay in detection due to nonspecific symptoms, along with the reliance on invasive laparoscopic procedures as the gold standard for confirmation. This condition highlights the urgent need for the development of safer, faster, and more accurate diagnostic methods through the identification of non-invasive biomarkers. This review aims to examine recent advances in various biomarker approaches, including hormonal, immunological, genetic, proteomic, metabolomic, and microbiome-based aspects, which contribute to the pathogenesis of endometriosis and hold potential as diagnostic tools as well as predictors of therapeutic response. The findings indicate that a multi-omics approach integrating genetic data, metabolite profiles, plasma proteins, and microbiota composition has strong potential to generate biomarker panels with higher sensitivity and specificity. Therefore, the development of multi omics-based biomarkers is expected to support early diagnosis and more personalized therapeutic strategies. This advancement represents a crucial step toward the implementation of precision medicine, ultimately improving patients’ quality of life through more effective and targeted management.Downloads
Published
2026-04-30
How to Cite
Alhudri, M. A., Hutagaol, I. E., & Ismawati, I. (2026). Advancing Non Invasive Multi Omics Biomarkers for Early Diagnosis, Precision Medicine, and Improved Therapeutic Outcomes in Endometriosis Management. Jurnal Ners, 10(2), 6332–6337. https://doi.org/10.31004/jn.v10i2.57480
Issue
Section
Articles
License
Copyright (c) 2026 Jurnal Ners
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journals published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.