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

被引:43
|
作者
Shih, Andrew J. [1 ]
Adelson, Robert P. [1 ]
Vashistha, Himanshu [1 ]
Khalili, Houman [1 ]
Nayyar, Ashima [1 ]
Puran, Radha [1 ]
Herrera, Rixsi [1 ]
Chatterjee, Prodyot K. [1 ]
Lee, Annette T. [1 ,2 ]
Truskinovsky, Alexander M. [2 ,3 ]
Elmaliki, Kristine [1 ]
DeFranco, Margaret [1 ]
Metz, Christine N. [1 ,2 ]
Gregersen, Peter K. [1 ,2 ]
机构
[1] Northwell Hlth, Feinstein Inst Med Res, Robert S Boas Ctr Genom & Human Genet, 350 Community Dr, Manhasset, NY 11030 USA
[2] Donald & Barbara Zucker Sch Med, 500 Hofstra Blvd, Hempstead, NY 11549 USA
[3] Northwell Hlth, Dept Pathol, North Shore Univ Hosp, 300 Community Dr, Manhasset, NY USA
关键词
Menstrual blood; Menstrual effluent; Inflammation; Senescence; Fibrosis; Biomarkers; Decidualization; Endometriosis; Single-cell RNA sequencing; LEUCINE-RICH PROTEOGLYCANS; FACTOR-BINDING-PROTEINS; NATURAL-KILLER-CELLS; GROWTH-FACTOR; GENE-EXPRESSION; STROMAL CELLS; MATRIX-METALLOPROTEINASE; EUTOPIC ENDOMETRIUM; PULMONARY-FIBROSIS; RECEPTOR-ALPHA;
D O I
10.1186/s12916-022-02500-3
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 x 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.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Dynamic phenotypes: illustrating a single-cell odyssey
    Wang, William
    Zhu, Bijun
    Wang, Xiangdong
    CELL BIOLOGY AND TOXICOLOGY, 2017, 33 (05) : 423 - 427
  • [32] Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness
    Kvokackova, Barbora
    Fedr, Radek
    Kuzilkova, Daniela
    Stuchly, Jan
    Vavrova, Adela
    Navratil, Jiri
    Fabian, Pavel
    Ondrussek, Robert
    Ovesna, Petra
    Remsik, Jan
    Bouchal, Jan
    Kalina, Tomas
    Soucek, Karel
    MOLECULAR ONCOLOGY, 2023, 17 (06) : 1024 - 1040
  • [33] Deep Visual Proteomics defines single-cell identity and heterogeneity
    Andreas Mund
    Fabian Coscia
    András Kriston
    Réka Hollandi
    Ferenc Kovács
    Andreas-David Brunner
    Ede Migh
    Lisa Schweizer
    Alberto Santos
    Michael Bzorek
    Soraya Naimy
    Lise Mette Rahbek-Gjerdrum
    Beatrice Dyring-Andersen
    Jutta Bulkescher
    Claudia Lukas
    Mark Adam Eckert
    Ernst Lengyel
    Christian Gnann
    Emma Lundberg
    Peter Horvath
    Matthias Mann
    Nature Biotechnology, 2022, 40 : 1231 - 1240
  • [34] Deep Visual Proteomics defines single-cell identity and heterogeneity
    Mund, Andreas
    Coscia, Fabian
    Kriston, Andras
    Hollandi, Reka
    Kovacs, Ferenc
    Brunner, Andreas-David
    Migh, Ede
    Schweizer, Lisa
    Santos, Alberto
    Bzorek, Michael
    Naimy, Soraya
    Rahbek-Gjerdrum, Lise Mette
    Dyring-Andersen, Beatrice
    Bulkescher, Jutta
    Lukas, Claudia
    Eckert, Mark Adam
    Lengyel, Ernst
    Gnann, Christian
    Lundberg, Emma
    Horvath, Peter
    Mann, Matthias
    NATURE BIOTECHNOLOGY, 2022, 40 (08) : 1231 - +
  • [35] Single-Cell Transcriptome Analysis Reveals Paraspeckles Expression in Osteosarcoma Tissues
    Rothzerg, Emel
    Feng, Wenyu
    Song, Dezhi
    Li, Hengyuan
    Wei, Qingjun
    Fox, Archa
    Wood, David
    Xu, Jiake
    Liu, Yun
    CANCER INFORMATICS, 2022, 21
  • [36] Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage
    Dulken, Ben W.
    Leeman, Dena S.
    Boutet, Stephane C.
    Hebestreit, Katja
    Brunet, Anne
    CELL REPORTS, 2017, 18 (03): : 777 - 790
  • [37] A novel resource to study endometriosis at the single-cell level
    Garcia-Alonso, Luz
    Zondervan, Krina T.
    Vento-Tormo, Roser
    NATURE REVIEWS ENDOCRINOLOGY, 2023, 19 (05) : 256 - 257
  • [38] A novel resource to study endometriosis at the single-cell level
    Luz García-Alonso
    Krina T. Zondervan
    Roser Vento-Tormo
    Nature Reviews Endocrinology, 2023, 19 : 256 - 257
  • [39] Mapping human cell phenotypes to genotypes with single-cell genomics
    Camp, J. Gray
    Platt, Randall
    Treutlein, Barbara
    SCIENCE, 2019, 365 (6460) : 1401 - +
  • [40] Microfluidic single-cell analysis links boundary environments and individual microbial phenotypes
    Dusny, Christian
    Schmid, Andreas
    ENVIRONMENTAL MICROBIOLOGY, 2015, 17 (06) : 1839 - 1856