Endometrial stromal cell inflammatory phenotype during severe ovarian endometriosis as a cause of endometriosis-associated infertility

Anupa, G.; Poorasamy, Jeevitha; Bhat, Muzaffer Ahmed; Sharma, Jai Bhagwan; Sengupta, Jayasree; Ghosh, Debabrata

doi:10.1016/j.rbmo.2020.05.008

Cited by 13 publications

(10 citation statements)

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“…Both types of progesterone resistance may be constitutively present in the target tissue or may be acquired by the target cells. 9,10,30,31 In the following sections, the authors discuss how both types of progesterone resistance are associated with endometriosis.…”

Section: Physiological Basis Of Progesterone Resistancementioning

confidence: 99%

“…52 Moreover, the reported studies on PGR response used isolated cells maintained in a 2D culture system, which might be an inadequate model for addressing the core issue of progesterone resistance due to the fact that such isolated cells often lose their differential behaviour typically seen in the tissue. 31,49,50,54 Additionally, the statistical design and clinical details in a few studies were not foolproof. The Endometriosis Phenome (and Biobanking) Harmonisation Project (EPHect) guidelines highlight the necessity of developing a consensus on the standardisation and harmonisation of phenotypic surgical and clinical data and biological sample handling methods in endometriosis research.…”

Section: Gentilini Et Al 51mentioning

confidence: 99%

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Progesterone Resistance in Endometriosis

et al. 2022

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Endometriosis is characterised by the presence of endometrium-like tissue on the pelvis and other organs. Progesterone resistance due to suppressed progesterone receptor (PGR) expression and action is a general feature of endometriosis and is a cause of endometriosis-associated chronic pelvic pain, infertility, inflammatory disorders, and cancer. It appears that progesterone receptor polymorphisms may not be associated with the susceptibility to endometriosis. On the other hand, PGR expression and activity in target cells is significantly dysregulated in both eutopic and ectopic tissues compared with control endometrium. However, the underlying epigenetic mechanisms for PGR suppression in the eutopic tissue are different from ectopic tissue. The aim of this paper was to present an overview of different aspects of progesterone resistance and its application in endometriosis. Finally, this article also presents a few important, unmet questions related to the failure of progesterone treatment in alleviating clinical conditions in endometriosis.

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Section: Physiological Basis Of Progesterone Resistancementioning

confidence: 99%

Section: Gentilini Et Al 51mentioning

confidence: 99%

Progesterone Resistance in Endometriosis

et al. 2022

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“…The observed lack of concordance between the reported studies could include geographic and ethnic differences in the expression of ncRNA repertoire, differences in sample handling, ncRNA extraction, normalisation, assay platforms, methods of statistical analysis, and the absence of a harmonised approach to tissue collection, storage, and of specimen characterisation on the basis of disease severity, disease phenotype, menstrual history, and fertility. [33][34][35][36][37][38]…”

Section: Circulatory Biomarkersmentioning

confidence: 99%

“…48 > The heterogeneity of tissue components that include inflammatory cells, stromal cells, epithelial cells, endothelial cells in uterine wall components, surrounding peritoneal tissue in different biopsy specimens per se may affect tissue expressional repertoire of tissue. 34,38,49 Briefly, it appears that many peripheral biomarkers tentatively show promise in the diagnosis of endometriosis, but not a single biomarker or panel of biomarkers appears to be clinically fool-proof. It also appears that panels of markers rather than specific candidate markers may allow increased sensitivity and specificity for early diagnosis.…”

Section: > the Menstrual Cycle Phase Of Tissue Collectionmentioning

confidence: 99%

Examining Diagnostic Options and Classification Systems Available for Endometriosis

Ghosh

Sengupta

2021

EMJ Repro Health

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Introduction: Endometriosis is characterised by the presence of endometrium-like tissue outside the uterus, and is often associated with chronic pelvic pain, infertility, and compromised quality of life. Development of reliable methods of early diagnosis, staging, and classification of endometriosis would allow for restriction of disease progression by its early detection and strategising towards its early treatment and management. Diagnostic options: Typically, diagnosis and staging of endometriosis include a history and physical examination followed by clinical, imaging, and laparoscopic findings. Surgical inspection of lesions at laparoscopy with histological confirmation remains the most reliable procedure towards the detection of endometriosis and its classification. Although there are many putative peripheral biomarkers having potential diagnostic values for endometriosis, further studies are necessary for their validation. Classification systems: Based on anatomical, clinical, imaging, and several pathophysiological findings, various classifications and staging systems of endometriosis, e.g., revised American Society for Reproductive Medicine (rASRM), ENZIAN, Endometriosis Fertility Index (EFI) and Foci–Ovarian endometrioma–Adhesion–Tubal endometriosis–Inflammation (FOATI) scoring systems, have so far been postulated. However, there is no fool-proof diagnostic and classification approach available for the disease due to the general failure of current systems to reflect reproducible correlation with the major symptoms of endometriosis. Conclusion: A ‘toolbox approach’, using all the available diagnostic and classification systems maximising the information available to healthcare providers and females, is a recent recommendation. Development of collaborative research networks for the harmonisation of patient information, biological sample collection, and its storage, and that of methodological and analytical tools in a wider patient base is necessary to discover reliable leads for future diagnostic options and a classification system for endometriosis.

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“…The test is typically based on the asymptotic distribution of either

or the Z ‐transformed statistic. 6 It has been widely used in real world applications, 14 , 15 , 16 , 17 and has been implemented in the Stata CONCORD module. 18 , 19 Both asymptotic tests rely on large sample sizes and typically fail to control the Type I error at the desired level when n is small.…”

Section: Introductionmentioning

confidence: 99%

A robust permutation test for the concordance correlation coefficient

Hutson

2021

Pharmaceutical Statistics

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In this work, we developed a robust permutation test for the concordance correlation coefficient (ρc) for testing the general hypothesis H0 : ρc = ρc(0). The proposed test is based on an appropriately studentized statistic. Theoretically, the test is proven to be asymptotically valid in the general setting when two paired variables are uncorrelated but dependent. This desired property was demonstrated across a range of distributional assumptions and sample sizes in simulation studies, where the test exhibits robust type I error control in all settings tested, even when the sample size is small. We demonstrated the application of this test in two real world examples across cardiac output measurements and endocardiographic imaging.

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Endometrial stromal cell inflammatory phenotype during severe ovarian endometriosis as a cause of endometriosis-associated infertility

Cited by 13 publications

References 135 publications

Progesterone Resistance in Endometriosis

Progesterone Resistance in Endometriosis

Examining Diagnostic Options and Classification Systems Available for Endometriosis

A robust permutation test for the concordance correlation coefficient

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