BACKGROUND: Endometriosis, a poorly studied gynecological condition, is characterized by the presence of ectopic endometrial lesions resulting in pelvic pain, inflammation, and infertility. These associated symptoms contribute to a significant burden, often exacerbated by delayed diagnosis. Current diagnostic methods involve invasive procedures, and existing treatments provide no cure. METHODS: Microbiome-metabolome signatures in stool samples from individuals with and without endometriosis were determined using unbiased metabolomics and 16S bacteria sequencing. Functional studies for selected microbiota-derived metabolites were conducted in vitro using patient-derived cells and in vivo by employing murine and human xenograft pre-clinical disease models. FINDINGS: We discovered a unique bacteria-derived metabolite signature intricately linked to endometriosis. The altered fecal metabolite profile exhibits a strong correlation with that observed in inflammatory bowel disease (IBD), revealing intriguing connections between these two conditions. Notably, we validated 4-hydroxyindole, a gut-bacteria-derived metabolite that is lower in stool samples of endometriosis. Extensive in vivo studies found that 4-hydroxyindole suppressed the initiation and progression of endometriosis-associated inflammation and hyperalgesia in heterologous mouse and in pre-clinical models of the disease. CONCLUSIONS: Our findings are the first to provide a distinct stool metabolite signature in women with endometriosis, which could serve as stool-based non-invasive diagnostics. Further, the gut-microbiota-derived 4-hydroxyindole poses as a therapeutic candidate for ameliorating endometriosis. FUNDING: This work was funded by the NIH/NICHD grants (R01HD102680, R01HD104813) and a Research Scholar Grant from the American Cancer Society to R.K.
Identification of distinct stool metabolites in women with endometriosis for non-invasive diagnosis and potential for microbiota-based therapies.
识别子宫内膜异位症女性粪便中独特的代谢物,用于非侵入性诊断和基于微生物群的治疗
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作者:Talwar Chandni, Davuluri Goutham Venkata Naga, Kamal Abu Hena Mostafa, Coarfa Cristian, Han Sang Jun, Veeraragavan Surabi, Parsawar Krishna, Putluri Nagireddy, Hoffman Kristi, Jimenez Patricia, Biest Scott, Kommagani Ramakrishna
| 期刊: | Med | 影响因子: | 11.800 |
| 时间: | 2025 | 起止号: | 2025 Feb 14; 6(2):100517 |
| doi: | 10.1016/j.medj.2024.09.006 | 研究方向: | 代谢、微生物学 |
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