Direct Mass Spectrometry Differentiation of Ectopic and Eutopic Endometrium in Patients with Endometriosis

Adamyan, L.V.; Стародубцева, Н. Л.; Borisova, Anna V.; Stepanian, A.A.; Chagovets, Vitaliy; Salimova, Dinara; Wang, Zhi-Hao; Kononikhin, Alexey; Popov, Igor; Бугрова, А. Е.; Chingin, Konstantin; Козаченко, А. В.; Chen, Huanwen; Frankevich, Vladimir

doi:10.1016/j.jmig.2017.08.658

Cited by 32 publications

(24 citation statements)

References 32 publications

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“…Interestingly, after inserting an intrauterine device in the hormonal replacement therapy patients, the secretion of both PGs significantly decreased throughout the cycle. Other used the MS based lipidomics for the rapid assessment of endometriotic tissues (Adamyan et al, ) and to study subtypes of endometrial cancer (Cummings et al, ).…”

Section: Discussionmentioning

confidence: 99%

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Lipidomic profile as a noninvasive tool to predict endometrial receptivity

Braga

Borges

Godoy

et al. 2018

Molecular Reproduction Devel

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For the present study we asked whether the endometrial fluid lipidomic may be a useful approach to predict endometrial receptivity in freeze‐all cycles. For this case‐control study, endometrial fluid samples were collected from 41 patients undergoing freeze‐all cycles. Samples were split depending on the pregnancy outcome: positive group (n = 24) and negative group (n = 17). Data were acquired by the matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS‐DA) were applied. A list of potential biomarker ion ratios was obtained and the values were used to build a receiver operating characteristic (ROC) curve to predict pregnancy success. The lipid categories were attributed by LIPID MAPS database. Ion ratios were established according to their correlations and used for the analysis. The PCA showed a tendency of separation between the studied groups, whereas the PLS‐DA was able to clearly distinguish them. Fifteen ratios (13 hyper‐represented in the negative and two hyper‐represented in the positive group) were selected according to their importance for model prediction. These ratios were used to build the ROC curve, which presented an area under curve of 84.0% (95%CI: 69.2–97.4%; p = 0.009). These findings suggest that lipidomic profiling of endometrial fluid may be a valuable tool for identifying the time interval comprising the window of implantation.

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Section: Discussionmentioning

confidence: 99%

“…Among those lipids, prostaglandins (PGs) were probably, the most studied agents. Accumulated evidence has demonstrated a key role for PGs in embryo implantation in animals (Arosh, Banu, & McCracken, 2016;Waclawik, Kaczmarek, Blitek, Kaczynski, & Ziecik, 2017) (Adamyan et al, 2018) and to study subtypes of endometrial cancer (Cummings et al, 2018).…”

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confidence: 99%

Lipidomic profile as a noninvasive tool to predict endometrial receptivity

Braga

Borges

Godoy

et al. 2018

Molecular Reproduction Devel

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“…Основными симптомами заболевания являются предменструальные тазовые боли, дисменорея и диспареуния. Кроме того, пациентки с эндометриозом часто страдают бесплодием, механизмы которого не до конца изучены [1,9,13,24]. На ослабление репродуктивной функции также влияет снижение качества ооцитов, что является одним из ключевых аспектов в изучении бесплодия, ассоциированного с эндометриозом.…”

Section: © коллектив авторов 2018unclassified

Endometriosis and oocytes (a review)

Trubitsyna¹,

Асатурова²,

Adamyan³

2018

Probl. reprod.

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Objective-to present the systematic analysis of the data of modern literature on the effect of endometriosis on oocytes and markers of their quality. Material and methods. The review contains data from foreign studies presented in the electronic database of Pubmed for the last 3 years. Results. Analysis of literature data showed that endometriosis adversely affects the quality of the oocyte and negatively correlates with the potential for the embryo development. Conclusion. Infertility of patients with endometriosis is associated with a decrease in the quality of oocytes, rather than with an endometrial medium or susceptibility. However, the observations are still controversial and require more careful consideration of disputed points and a deeper analysis.

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“…It is characterized by the multiplexity within hundreds of individual proteins in a single sample, the sensitivity in range of pico-and femtomoles of single protein, and a dynamic range of 4-6 th orders of magnitude, which is close to the protein concentrations in human tissues. Currently, the proteomic analysis of the endometrium is used in clinical medicine not only in endometriosis [11], but also in endometrial cancer [12], infertility [13] and in women with pregnancy-induced changes [14].…”

Section: Introductionmentioning

confidence: 99%

Optimized Bioinformatic Strategy for the Analysis of Clinical Proteomic Data of the Endometrium in Chronic Endometritis

Gainullin¹,

Yazykova²,

Мотовилова³

et al. 2019

Sovrem Tehnol Med

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The aim of the study is to analyze the entire set of proteins (proteome) expressed in the endometrial tissue and to identify protein markers specific for carcinogenesis. Materials and Methods. Tissue samples were obtained using endometrial pipelle biopsy in women with chronic endometritis. After homogenization the samples were subjected to protein electrophoresis in polyacrylamide gel in the presence of sodium dodecyl sulfate according to the Lamley method. The proteins separated according to their molecular weights were digested by modified trypsin using the standard method. Obtained tryptic peptides were analyzed and identified by high-performance liquid chromatography coupled with tandem mass spectrometry. The Human Protein Atlas and Tissue-Specific Gene Expression and Regulation databases were used to analyze the tissue-specific protein expression. Functional protein annotation and gene set enrichment analysis were performed using the Database for Annotation, Visualization and Integrated Discovery bioinformatics resource. Results. In the obtained endometrial tissue samples, 103 proteins were identified by tandem mass spectrometry. Analysis of tissue specificity showed that 83 proteins were expressed in the tissues of the female reproductive system. Functional annotation followed by clustering revealed that 51 proteins (49.5% of the identified ones) were encoded by the genes differentially expressed in cell cultures of the female reproductive organs. Along with that, 4 groups of proteins were expressed both in tumors (serous ovarian adenocarcinoma, immortalized ovarian cystadenoma, ovarian carcinoma) and in the immortalized normal ovarian surface epithelium. Conclusion. Endometrial tissue proteins were identified using a clinical proteomic analysis. The bioinformatic approach allowed us to annotate the functional clusters of the identified proteins based on their potential involvement in carcinogenesis. The obtained data can serve

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Direct Mass Spectrometry Differentiation of Ectopic and Eutopic Endometrium in Patients with Endometriosis

Cited by 32 publications

References 32 publications

Lipidomic profile as a noninvasive tool to predict endometrial receptivity

Lipidomic profile as a noninvasive tool to predict endometrial receptivity

Endometriosis and oocytes (a review)

Optimized Bioinformatic Strategy for the Analysis of Clinical Proteomic Data of the Endometrium in Chronic Endometritis

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