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Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis

BACKGROUND: Endometriosis is a common, complex disorder which is underrecognized and subject to prolonged delays in diagnosis. It is accompanied by significant changes in the eutopic endometrial lining. METHODS: We have undertaken the first single-cell RNA-sequencing (scRNA-Seq) comparison of endome...

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Autores principales: Shih, Andrew J., Adelson, Robert P., Vashistha, Himanshu, Khalili, Houman, Nayyar, Ashima, Puran, Radha, Herrera, Rixsi, Chatterjee, Prodyot K., Lee, Annette T., Truskinovsky, Alexander M., Elmaliki, Kristine, DeFranco, Margaret, Metz, Christine N., Gregersen, Peter K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476391/
https://www.ncbi.nlm.nih.gov/pubmed/36104692
http://dx.doi.org/10.1186/s12916-022-02500-3
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author Shih, Andrew J.
Adelson, Robert P.
Vashistha, Himanshu
Khalili, Houman
Nayyar, Ashima
Puran, Radha
Herrera, Rixsi
Chatterjee, Prodyot K.
Lee, Annette T.
Truskinovsky, Alexander M.
Elmaliki, Kristine
DeFranco, Margaret
Metz, Christine N.
Gregersen, Peter K.
author_facet Shih, Andrew J.
Adelson, Robert P.
Vashistha, Himanshu
Khalili, Houman
Nayyar, Ashima
Puran, Radha
Herrera, Rixsi
Chatterjee, Prodyot K.
Lee, Annette T.
Truskinovsky, Alexander M.
Elmaliki, Kristine
DeFranco, Margaret
Metz, Christine N.
Gregersen, Peter K.
author_sort Shih, Andrew J.
collection PubMed
description BACKGROUND: Endometriosis is a common, complex disorder which is underrecognized and subject to prolonged delays in diagnosis. It is accompanied by significant changes in the eutopic endometrial lining. METHODS: We have undertaken the first single-cell RNA-sequencing (scRNA-Seq) comparison of endometrial tissues in freshly collected menstrual effluent (ME) from 33 subjects, including confirmed endometriosis patients (cases) and controls as well as symptomatic subjects (who have chronic symptoms suggestive of endometriosis but have not been diagnosed). RESULTS: We identify a unique subcluster of proliferating uterine natural killer (uNK) cells in ME-tissues from controls that is almost absent from endometriosis cases, along with a striking reduction of total uNK cells in the ME of cases (p < 10(−16)). In addition, an IGFBP1+ decidualized subset of endometrial stromal cells are abundant in the shed endometrium of controls when compared to cases (p < 10(−16)) confirming findings of compromised decidualization of cultured stromal cells from cases. By contrast, endometrial stromal cells from cases are enriched in cells expressing pro-inflammatory and senescent phenotypes. An enrichment of B cells in the cases (p = 5.8 × 10(−6)) raises the possibility that some may have chronic endometritis, a disorder which predisposes to endometriosis. CONCLUSIONS: We propose that characterization of endometrial tissues in ME will provide an effective screening tool for identifying endometriosis in patients with chronic symptoms suggestive of this disorder. This constitutes a major advance, since delayed diagnosis for many years is a major clinical problem in the evaluation of these patients. Comprehensive analysis of ME is expected to lead to new diagnostic and therapeutic approaches to endometriosis and other associated reproductive disorders such as female infertility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02500-3.
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spelling pubmed-94763912022-09-16 Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis Shih, Andrew J. Adelson, Robert P. Vashistha, Himanshu Khalili, Houman Nayyar, Ashima Puran, Radha Herrera, Rixsi Chatterjee, Prodyot K. Lee, Annette T. Truskinovsky, Alexander M. Elmaliki, Kristine DeFranco, Margaret Metz, Christine N. Gregersen, Peter K. BMC Med Research Article BACKGROUND: Endometriosis is a common, complex disorder which is underrecognized and subject to prolonged delays in diagnosis. It is accompanied by significant changes in the eutopic endometrial lining. METHODS: We have undertaken the first single-cell RNA-sequencing (scRNA-Seq) comparison of endometrial tissues in freshly collected menstrual effluent (ME) from 33 subjects, including confirmed endometriosis patients (cases) and controls as well as symptomatic subjects (who have chronic symptoms suggestive of endometriosis but have not been diagnosed). RESULTS: We identify a unique subcluster of proliferating uterine natural killer (uNK) cells in ME-tissues from controls that is almost absent from endometriosis cases, along with a striking reduction of total uNK cells in the ME of cases (p < 10(−16)). In addition, an IGFBP1+ decidualized subset of endometrial stromal cells are abundant in the shed endometrium of controls when compared to cases (p < 10(−16)) confirming findings of compromised decidualization of cultured stromal cells from cases. By contrast, endometrial stromal cells from cases are enriched in cells expressing pro-inflammatory and senescent phenotypes. An enrichment of B cells in the cases (p = 5.8 × 10(−6)) raises the possibility that some may have chronic endometritis, a disorder which predisposes to endometriosis. CONCLUSIONS: We propose that characterization of endometrial tissues in ME will provide an effective screening tool for identifying endometriosis in patients with chronic symptoms suggestive of this disorder. This constitutes a major advance, since delayed diagnosis for many years is a major clinical problem in the evaluation of these patients. Comprehensive analysis of ME is expected to lead to new diagnostic and therapeutic approaches to endometriosis and other associated reproductive disorders such as female infertility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02500-3. BioMed Central 2022-09-15 /pmc/articles/PMC9476391/ /pubmed/36104692 http://dx.doi.org/10.1186/s12916-022-02500-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Shih, Andrew J.
Adelson, Robert P.
Vashistha, Himanshu
Khalili, Houman
Nayyar, Ashima
Puran, Radha
Herrera, Rixsi
Chatterjee, Prodyot K.
Lee, Annette T.
Truskinovsky, Alexander M.
Elmaliki, Kristine
DeFranco, Margaret
Metz, Christine N.
Gregersen, Peter K.
Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
title Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
title_full Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
title_fullStr Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
title_full_unstemmed Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
title_short Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
title_sort single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476391/
https://www.ncbi.nlm.nih.gov/pubmed/36104692
http://dx.doi.org/10.1186/s12916-022-02500-3
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