npj women's healthPub Date : 2025-01-01Epub Date: 2025-02-06DOI: 10.1038/s44294-024-00052-w
Camran R Nezhat, Tomiko T Oskotsky, Joshua F Robinson, Susan J Fisher, Angie Tsuei, Binya Liu, Juan C Irwin, Brice Gaudilliere, Marina Sirota, David K Stevenson, Linda C Giudice
{"title":"Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence.","authors":"Camran R Nezhat, Tomiko T Oskotsky, Joshua F Robinson, Susan J Fisher, Angie Tsuei, Binya Liu, Juan C Irwin, Brice Gaudilliere, Marina Sirota, David K Stevenson, Linda C Giudice","doi":"10.1038/s44294-024-00052-w","DOIUrl":"10.1038/s44294-024-00052-w","url":null,"abstract":"<p><p>Endometriosis is an enigmatic disease whose diagnosis and management are being transformed through innovative surgical, molecular, and computational technologies. Integrating single-cell and other omic disease data with clinical and surgical metadata can identify multiple disease subtypes with translation to novel diagnostics and therapeutics. Herein, we present real-world perspectives on endometriosis and the importance of multidisciplinary collaboration in informing molecular, epidemiologic, and cell-specific data in the clinical and surgical contexts.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 1","pages":"8"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802455/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj women's healthPub Date : 2025-01-01Epub Date: 2025-01-03DOI: 10.1038/s44294-024-00049-5
Zhexian Sun, Wenjie Wu, Zezhen Xiang, Hansong Gao, Weina Ju, Cherilyn Uhm, Ian S Hagemann, Pamela K Woodard, Nanbert Zhong, Alison G Cahill, Qing Wang, Yong Wang
{"title":"Quantitative and longitudinal assessment of human placental inflammation using diffusion basis spectrum imaging.","authors":"Zhexian Sun, Wenjie Wu, Zezhen Xiang, Hansong Gao, Weina Ju, Cherilyn Uhm, Ian S Hagemann, Pamela K Woodard, Nanbert Zhong, Alison G Cahill, Qing Wang, Yong Wang","doi":"10.1038/s44294-024-00049-5","DOIUrl":"https://doi.org/10.1038/s44294-024-00049-5","url":null,"abstract":"<p><p>Besides exchanging nutrients, gases, and wastes, placenta is an intermediary between maternal and fetal immune systems. However, no method exists to safely image and monitor placental inflammation during pregnancy. We customized a Magnetic Resonance Imaging (MRI) method, diffusion basis spectrum imaging (DBSI), to measure immune cells in placenta. We validated placental DBSI in simulations and ex-vivo specimens, then applied it to 202 MRI scans from 82 patients whose placentas were classified as non-inflammation (<i>n</i> = 70) or inflammation (<i>n</i> = 12). Our method imaged the 3D distribution of immune cells, revealing significantly greater infiltration in the inflammation placentas from early (2.8% ± 0.7% vs. 4.8% ± 0.65%, <i>p</i> < 0.01) to late pregnancy (4.75% ± 0.9% vs. 7.25% ± 2.13%, <i>p</i> < 0.01). DBSI detects elevated immune cell infiltration associated with placental inflammation and enables non-invasive imaging of placental inflammation, offering early detection and monitoring throughout pregnancy, facilitating personalized care and potentially improving pregnancy outcomes without ionizing radiation.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11698687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142934408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
npj women's healthPub Date : 2025-01-01Epub Date: 2025-01-29DOI: 10.1038/s44294-025-00054-2
Ola Gutzeit, Aakanksha Gulati, Zohreh Izadifar, Anna Stejskalova, Hassan Rhbiny, Justin Cotton, Bogdan Budnik, Sanjid Shahriar, Girija Goyal, Abidemi Junaid, Donald E Ingber
{"title":"Cervical mucus in linked human Cervix and Vagina Chips modulates vaginal dysbiosis.","authors":"Ola Gutzeit, Aakanksha Gulati, Zohreh Izadifar, Anna Stejskalova, Hassan Rhbiny, Justin Cotton, Bogdan Budnik, Sanjid Shahriar, Girija Goyal, Abidemi Junaid, Donald E Ingber","doi":"10.1038/s44294-025-00054-2","DOIUrl":"10.1038/s44294-025-00054-2","url":null,"abstract":"<p><p>This study explores the protective role of cervicovaginal mucus in maintaining vaginal health, particularly in relation to bacterial vaginosis (BV), using organ chip technology. By integrating human Cervix and Vagina Chips, we demonstrated that cervical mucus significantly reduces inflammation and epithelial damage caused by a dysbiotic microbiome commonly associated with BV. Proteomic analysis of the Vagina Chip, following exposure to mucus from the Cervix Chip, revealed differentially abundant proteins, suggesting potential biomarkers and therapeutic targets for BV management. Our findings highlight the essential function of cervical mucus in preserving vaginal health and underscore the value of organ chip models for studying complex interactions within the female reproductive tract. This research provides new insights into the mechanisms underlying vaginal dysbiosis and opens avenues for developing targeted therapies and diagnostic tools to enhance women's reproductive health.</p>","PeriodicalId":520241,"journal":{"name":"npj women's health","volume":"3 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11779628/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}