Metabolomic Characteristics in Endometriosis Patients

Stefano Angioni, Stefania Saponara, Antonio G. Succu, Marco Sigilli, Francesco Scicchitano, Maurizio Nicola D’Alterio
In: ISGE Series · 2020 · pp. 9–17 · doi:10.1007/978-3-030-57866-4_2 · W3113229394
book-chapter OA: closed CC0 ⤵ 4 in-corpus citations
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⚙ AI-generated summary by claude@2026-06+body, 2026-06-08 ⓘ

This chapter analyzes recent scientific evidence on using metabolomics for early diagnosis, recurrence, and treatment of endometriosis by examining metabolic alterations in various biological samples.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-10 ⓘ

This chapter reviews recent scientific evidence on metabolomic approaches aimed at early diagnosis of endometriosis, and also addresses recurrence and treatment monitoring, based on findings from multiple biological samples (including follicular fluid, blood, and urine) analyzed with techniques such as MRI and mass spectrometry. It discusses how chronic conditions like endometriosis can impair metabolism of sugars, amino acids, and simple and complex lipids, leading to altered metabolite levels that could serve as biomarkers. A stated caveat across the reviewed literature is that diagnosis is often delayed because symptoms overlap with other diseases, which complicates the translation of metabolomic biomarker strategies. This paper is centrally about endometriosis — it reviews metabolomic characteristics and their use for early diagnosis, recurrence, and treatment assessment in endometriosis patients.

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endometriosis

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License: CC0 · commercial use OK