Idées reçues sur l'endométriose
A French saliva test combining AI and NGS quantifies micro-RNAs, which are epigenetic biomarkers involved in the development and progression of endometriosis.
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This chapter discusses the diagnostic challenge of endometriosis worldwide and describes a proposed “salivary test” that combines artificial intelligence with next-generation sequencing to quantify microRNAs. It explains microRNAs as ~22-nucleotide, cell-intrinsic biomarkers that regulate protein production after gene expression, and notes that microRNAs have been studied since the 2000s in endometriosis as contributors to pathways such as cell migration, inflammation, pro-angiogenic factors, and altered immune responses. The authors state that early salivary research began in 2020 and references two major global studies focused on development and external validation of the microRNA-based diagnostic test, while the chapter’s content is presented as conditionally accessible. This paper is centrally about endometriosis — it focuses on a saliva-based diagnostic approach using microRNAs analyzed with AI and NGS, framed around diagnostic complexity and prior microRNA evidence in endometriosis.
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