Polycystic ovary syndrome: Proteomic aspects
- Авторлар: Podzolkova N.M1, Koloda Y.A1
-
Мекемелер:
- Russian Medical Academy of Postgraduate Education
- Шығарылым: № 4 (2017)
- Беттер: 53-60
- Бөлім: Articles
- URL: https://journals.eco-vector.com/0300-9092/article/view/247880
- DOI: https://doi.org/10.18565/aig.2017.4.53-60
- ID: 247880
Дәйексөз келтіру
Аннотация
Objective. To analyze the data available in the literature on the proteomic markers of polycystic ovary syndrome (PCOS). Material and methods. The review includes the data of foreign and Russian articles published in the past 10 years and found in Pubmed on this topic. Results. The paper describes on the proteomic markers reflecting the complex pathogenesis of PCOS and discusses their role in the diagnosis and treatment of this disease and the possibility of using in the prediction of in vitro fertilization outcomes. Conclusion. It is necessary to conduct further investigations in the field of proteomics aimed at identifying new proteins and to validate the known biomarkers of PCOS in order to have an opportunity for their wide use in clinical practice.
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Авторлар туралы
N. Podzolkova
Russian Medical Academy of Postgraduate EducationMD, professor, head of the department of obstetrics and gynecology
Yu. Koloda
Russian Medical Academy of Postgraduate Education
Email: julkol@yandex.ru
associate professor, department of obstetrics and gynecology
Әдебиет тізімі
- Lebbi I., Ben Temime R., Fadhlaoui A., Feki A. Ovarian drilling in PCOS: is it really useful? Front. Surg. 2015; 2: 30.
- Клинические рекомендации (протокол лечения) Министерства здравоохранения Российской Федерации «Синдром поликистозных яичников в репродуктивном возрасте (современные подходы к диагностике и лечению». М.; 2015. [Clinical recommendations (protocol of treatment) of the Ministry of Health of the Russian Federation „Polycystic ovary syndrome in reproductive age (modern approaches to diagnosis and treatment”, Moscow, 2015. (in Russian)]
- Barthelmess E.K., Naz R.K. Polycystic ovary syndrome: current status and future perspective Front. Biosci. (Elite Ed). 2015; 6: 104-19.
- Meyer U.A. Personalized medicine: a personal view. Clin. Pharmacol. Ther. 2012; 91(3): 373-5.
- Сучков С.В., Гнатенко Д.А., Костюшев Д.С., Крынский С.А., Пальцев М.А. Протеомика как фундаментальный инструмент доклинического скрининга, верификации анализов и оценки применяемой терапии. Вестник Российской академии медицинских наук. 2013; 3: 65-71. [Suchkov S.V., Gnatenko D.A., Kostyushev D.S., Kryinskiy S.A., Paltsev M.A. Proteomics as a fundamental tool for preclinical screening, verification of assays and evaluation of the therapy used. Vestnik Rossiyskoy akademii meditsinskih nauk. 2013; 3: 65-71. (in Russian)]
- Jensen O.N. Modification-specific proteomics: characterization of post-translational modifications by mass spectrometry. Curr. Opin. Chem. Biol. 2004; 8(1): 33-41.
- Meehan K.L., Rainczuk A., Salamonsen L.A., Stephens A.N. Proteomics and the search for biomarkers of female reproductive diseases. Reproduction. 2010; 140(4): 505-19.
- Darde V.M., Barderas M.G., Vivanco F. Depletion of high-abundance proteins in plasma by immunoaffinity subtraction for two-dimensional difference gel electrophoresis analysis. Methods Mol. Biol. 2007; 357: 351-64.
- May C., Brosseron F., Chartowski P., Schumbrutzki C., Schoenebeck B., Marcus K. Instruments and methods in proteomics. Methods Mol. Biol. 2011; 696: 3-26.
- Пономаренко Е.А., Лисица А.В., Петрак И., Мошковский С.А., Арчаков А.И. Выявление дифференциально-экспрессирующихся белков с использованием автоматического мета-анализа протеомных публикаций. Биомедицинская химия. 2009; 55(1): 5-14. [Ponomarenko E.A., Lisitsa A.V., Petrak I., Moshkovskiy S.A., Archakov A.I. Identification of differentially expressed proteins using automatic meta-analysis of proteomic publications. Biomeditsinskaya himiya. 2009; 55(1): 5-14. (in Russian)]
- Elliott M.H., Smith D.S., Parker C.E., Borchers C. Current trends in quantitative proteomics. J. Mass Spectrom. 2009; 44(12): 1637-60.
- Gupta S., Ghulmiyyah J., Sharma R., Halabi J., Agarwal A. Power of proteomics in linking oxidative stress and female infertility. Biomed. Res. Int. 2014; 2014: 916212.
- Joseph S., Shankar Barai R., Bhujbalrao R., Idicula-Thomas S. PCOSKB: A KnowledgeBase on genes, diseases, ontology terms and biochemical pathways associated with PolyCystic Ovary Syndrome. Nucleic Acids Res. 2016; 44(D1): D1032-5.
- Escobar-Morreale H.F., Luque-Ramirez M., San Millan J.L. Themolecular-genetic basis of functional hyperandrogenism and the polycystic ovary syndrome. Endocr. Rev. 2005; 26(2): 251-82.
- Insenser M., Martinez-Garcia M.A., Montes R., San Milldn J.L., Escobar-Morreale H.F. Proteomic analysis of plasma in the polycystic ovary syndrome identifies novel markers involved in iron metabolism, acute-phase response, and inflammation. J. Clin. Endocrinol. Metab. 2010; 95(8): 3863-70.
- Escobar-Morreale H.F. Iron metabolism and the polycystic ovary syndrome Trends Endocrinol. Metab. 2012; 23(10): 509-15.
- Martos-Moreno G.Á., Sackmann-Sala L., Barrios V., Berrymann D.E., Okada S., Argente J., Kopchick J.J. Proteomic analysis allows for early detection of potential markers of metabolic impairment in very young obese children. Int. J. Pediatr. Endocrinol. 2014; 2014(1): 9.
- Fruhbeck G. Overview of adipose tissue and its role in obesity and metabolic disorders. Methods Mol. Biol. 2008; 456: 1-22.
- Peinado J.R., Pardo M., de la Rosa O., Malagon M.M. Proteomic characterization of adipose tissue constituents, a necessary step for understanding adipose tissue complexity. Proteomics. 2012; 12(4-5): 607-20.
- Cortön M., Botella-Carretero J.I., López J.A., Camafeita E., San Millán J.L., Escobar-Morreale H.F., Peral B. Proteomic analysis of human omental adipose tissue in the polycystic ovary syndrome using two-dimensional difference gel electrophoresis and mass spectrometry. Hum. Reprod. 2008; 23(3): 651-66.
- Insenser M., Montes-Nieto R., Martinez-Garcia M.A., Escobar-Morreale H.F. A nontargeted study of muscle proteome in severely obese women with androgen excess compared with severely obese men and non-hyperandrogenic women. Eur. J. Endocrinol. 2016; 174(3): 389-98.
- Franks S., Stark J., Hardy K. Follicle dynamics and anovulation in polycystic ovary syndrome. Hum. Reprod. Update. 2008; 14(4): 367-78.
- Ma X., Fan L., Meng Y., Hou Z., Mao Y.D., Wang W. et al. Proteomic analysis of human ovaries from normal and polycystic ovarian syndrome Mol. Hum. Reprod. 2007; 13(8): 527-35.
- Misiti S., Stigliano A., Borro M., Gentile G., Michienzi S., Cerquetti L. et al. Proteomic profiles in hyperandrogenic syndromes. J. Endocrinol. Invest. 2010; 33(3): 156-64.
- Borro M., Gentile G., Stigliano A., Misiti S., Toscano V., Simmaco M. Proteomic analysis of peripheral T lymphocytes, suitable circulating biosensors of strictly related diseases. Clin. Exp. Immunol. 2007; 150(3): 494-501.
- Bianchi L., Gagliardi A., Campanella G., Landi C., Capaldo A., Carleo A. et al. A methodological and functional proteomic approach of human follicular fluid en route for oocyte quality evaluation. J. Proteomics. 2013; 90: 61-76.
- Ambekar A.S., Kelkar D.S., Pinto S.M. Proteomics of follicular fluid from women with polycystic ovary syndrome suggests molecular defects in follicular development. J. Clin. Endocrinol. Metab. 2015; 100(2): 744-53.
- Dai G., Lu G. Different protein expression patterns associated with polycystic ovary syndrome in human follicular fluid during controlled ovarian hyperstimulation. Reprod. Fertil. Dev. 2012; 24(7): 893-904.
- Jarkovska K., Kupcova Skalnikova H., Halada P., Hrabakova R., Moos J., Rezabek K. et al. Development of ovarian hyperstimulation syndrome: interrogation of key proteins and biological processes in human follicular fluid of women undergoing in vitro fertilization Mol. Hum. Reprod. 2011; 17(11): 679-92.
- Galazis N., Pang Y.L., Galazi M., Haoula Z., Layfield R., Atiomo W. Proteomic biomarkers of endometrial cancer risk in women with polycystic ovary syndrome: a systematic review and biomarker database integration. Gynecol. Endocrinol. 2013; 29(7): 638-44.
- Khan G.H., Galazis N, Docheva N., Layfield R., Atiomo W. Overlap of proteomics biomarkers between women with pre-eclampsia and PCOS: a systematic review and biomarker database integration. Hum. Reprod. 2015; 30(1): 133-48.
- Galazis N., Docheva N., Nicolaides K.H., Atiomo W. Proteomic biomarkers of preterm birth risk in women with polycystic ovary syndrome (PCOS): a systematic review and biomarker database integration. PLoS One. 2013; 8(1): e53801.
- Galazis N., Afxentiou T., Xenophontos M., Diamanti-Kandarakis E., Atiomo W. Proteomic biomarkers of type 2 diabetes mellitus risk in women with polycystic ovary syndrome. Eur. J. Endocrinol. 2013; 168(2): R33-43.
- Mohamed-Hussein Z.A., Harun S. Construction of a polycystic ovarian syndrome (PCOS) pathway based on the interactions of PCOS-related proteins retrieved from bibliomic dat. Theor. Biol. Med. Model. 2009; 6: 18-31.
- Уварова Е.В., Хащенко Е.П. Синдром поликистозных яичников с позиций современных данных патогенеза. Репродуктивное здоровье детей и подростков. 2013; 5: 54-60. [Uvarova E.V., Haschenko E.P. Polycystic ovary syndrome in terms of current pathogenesis data. Reproduktivnoe zdorove detey i podrostkov. 2013; 5: 54-60. (in Russian)]
- Atiomo W., Khalid S., Parameshweran S., Houda M., Layfield R. Proteomic biomarkers for the diagnosis and risk stratification of polycystic ovary syndrome: a systematic review. BJOG. 2009; 116: 137-43.
- Yang Y., Chung E.K., Zhou B., Lhotta K., Hebert L.A., Birmingham D.J. et al. The intricate role of complement component C4 in human systemic lupus erythematosus. Curr. Dir. Autoimmun. 2004; 7: 98-132.
- Insenser M., Escobar-Morreale H.F. Proteomics and polycystic ovary syndrome. Expert Rev. Proteomics. 2013; 10(5): 435-47.
- Choi D.H., Lee W.S., Won M., Park M., Park H.O., Kim E. et al. The apolipo-protein A-I level is downregulated in the granulosa cells of patients with polycystic ovary syndrome and affects steroidogenesis. J. Proteome Res. 2010; 9(9): 4329-36.
- Manneräs-Holm L., Baghaei E., Holm G., Janson P.O., Ohlsson C., Lönn M., Stener-Victorin E. Coagulation and fibrinolytic disturbances in women with polycystic ovary syndrome. J. Clin. Endocrinol. Metab. 2011; 96(4): 1068-76.
- Rayner K., Chen Y.X., Siebert T., O’Brien E.R. Heat shock protein 27: clue to understanding estrogen-mediated atheroprotection? Trends Cardiovasc. Med. 2010; 20(2): 54-8.
- Montes-Nieto R., Insenser M., Martinez-Garcia M.A., Escobar-Morreale H.E. A nontargeted proteomic study of the influence of androgen excess on human visceral and subcutaneous adipose tissue proteomes. J. Clin. Endocrinol. Metab. 2013; 98(3): E576-85.
- Escobar-Morreale H.E., Luque-Ramirez M., Gonzalez E. Circulating inflammatory markers in polycystic ovary syndrome: a systematic review and meta-analysis. Fertil. Steril. 2011; 95(3): 1048-58. e1-2.
- Watanabe N., Ikeda U. Matrix metalloproteinases and atherosclerosis. Curr. Atheroscler. Rep. 2004; 6(2): 112-20.
- Hilali N., Vural M., Camuzcuoglu H., Camuzcuoglu A., Aksoy N. Increased prolidase activity and oxidative stress in PCOS. Clin. Endocrinol. 2013; 79(1): 105-10.
- Kim Y.S., Gu B.H., Choi B.C., Kim M.S., Song S., Yun J.H. et al. Apolipoprotein A-IV as a novel gene associated with polycystic ovary syndrome. Int. J. Mol. Med. 2013; 31(3): 707-16.
- Zhao S., Qiao J., Li M., Zhang X., Yu J., Li R. Discovery of distinct protein profiles for polycystic ovary syndrome with and without insulin resistance by surface-enhanced laser adsorption/ionization time of flight mass spectrometry. Fertil. Steril. 2007; 88(1): 145-51.
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