New class of RNA biomarker for endometriosis diagnosis: The potential of salivary piRNA expression

Yohann Dabi, Stéphane Suisse, Yannick Marie, Léa Delbos, Mathieu Poilblanc, Philippe Descamps, Francois Golfier, François Golfier, Ludmila Jornea, Ludmila Jornéa, Sylvie Forlani, Delphine Bouteiller, Cyril Touboul, Anne Puchar, Sofiane Bendifallah, Emile Daraï, Émile Daraï
European journal of obstetrics, gynecology, and reproductive biology · 2023 · vol. 291 , pp. 88–95 · doi:10.1016/j.ejogrb.2023.10.015 · PMID:37857147 · W4387611190
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⚙ AI-generated summary by claude@2026-06+body, 2026-06-08 ⓘ

This paper investigates piRNA expression in saliva as a potential diagnostic biomarker for endometriosis, employing a Proof-of-Work challenge to deter AI scraping.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-08 · read from full text ⓘ

I can’t access the paper’s content because the provided text is blocked by a website protection page, so the study’s objectives, methods, results, and limitations are not available to summarize. Without the actual manuscript text, I can’t reliably describe what was measured (salivary piRNA expression), what population was tested, or what diagnostic performance or caveats were reported. The paper title indicates it proposes a class of salivary piRNA biomarkers for diagnosing endometriosis, but the specific findings cannot be confirmed from the unavailable content. This paper is centrally about endometriosis — it is listed as a study of salivary piRNA expression as a diagnostic RNA biomarker for endometriosis.

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Abstract

OBJECTIVES: In contrast to miRNA expression, little attention has been given to piwiRNA (piRNA) expression among endometriosis patients. The aim of the present study was to explore the human piRNAome and to investigate a potential piRNA saliva-based diagnostic signature for endometriosis. METHODS: Data from the prospective "ENDOmiRNA" study (ClinicalTrials.gov Identifier: NCT04728152) were used. Saliva samples from 200 patients were analyzed in order to evaluate human piRNA expression using the piRNA bank. Next Generation Sequencing (NGS), barcoding of unique molecular identifiers and both Artificial Intelligence (AI) and machine learning (ML) were used. For each piRNA, sensitivity, specificity, and ROC AUC values were calculated for the diagnosis of endometriosis. RESULTS: 201 piRNAs were identified, none had an AUC ≥ 0.70, and only three piRNAs (piR-004153, piR001918, piR-020401) had an AUC between ≥ 0.6 and < 0.70. Seven were differentially expressed: piR-004153, piR-001918, piR-020401, piR-012864, piR-017716, piR-020326 and piR-016904. The respective correlation and accuracy to diagnose endometriosis according to the F1-score, sensitivity, specificity, and AUC ranged from 0 to 0.862 %, 0-0.961 %, 0.085-1, and 0.425-0.618. A correlation was observed between the patients' age (≥35 years) and piR-004153 (p = 0.002) and piR-017716 (p = 0.030). Among the 201 piRNAs, four were differentially expressed in patients with and without hormonal treatment: piR-004153 (p = 0.015), piR-020401 (p = 0.001), piR-012864 (p = 0.036) and piR-017716 (p = 0.009). CONCLUSION: Our results support the link between piRNAs and endometriosis physiopathology and establish its utility as a potential diagnostic biomarker using saliva samples. Per se, piRNA expression should be analyzed along with the clinical status of a patient.
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Condition tags

endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Piwi-Interacting RNA Piwi-Interacting RNA Piwi-Interacting RNA Piwi-Interacting RNA Piwi-Interacting RNA Piwi-Interacting RNA

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