PON1 polymorphisms are associated with polycystic ovary syndrome susceptibility, related traits, and PON1 activity in Indian women with the syndrome

Dadachanji, Roshan; Shaikh, Nuzhat F.; Khavale, Sushma; Patil, Anushree; Shah, Nalini; Mukherjee, Srabani

doi:10.1016/j.fertnstert.2015.03.037

Cited by 20 publications

(16 citation statements)

References 56 publications

(70 reference statements)

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“…To our best knowledge, this is the first systematic review and meta-analysis of studies showing the potential Subtotal (I-squared = 0.0%, p = 0.848) Skrgatic L et al, 2012Joshi B et al, 2016Houjeghani S 2012Lauritsen MP et al, 2014Liu Q et al, 2008Song DK et al, 2014Meriem G et al, 2016Dikmen E et al, 2011 Subtotal (I-squared = 93.6%, p = 0.000) Pangaribuan B et al, 2012Baldani DP et al, 2015Schweighofer N et al, 2012Zhu Q et al, 2016 Case-control Study Anttila L et al, 1996Bendlov B et al, 2007Zhang Y et al, 2006ID Jamil AS et al, 2015 Cohort Study Koiou E et al, 2011Jayagopal et al, 2003Tarkun I et al, 2004El-Shal AS et al, 2013Abu HTM et al, 2016Alili A et al, 2014Chae SJ et al, 2010Prelevit GM et al, 1993 Subtotal (I-squared = 94.8%, p = 0.000) Ferk P et al, 2006Seiminska L et al, 2004Legro RS et al, 2002Tarkun S et al, 2010Atamer A et al, 2008Dadachanji R et al, 2015N. Xita et al, 2008Schüring AN et al, 2012Yasmin E et al, 2012 Cross-sectional Kim JW et al, 2012Kandasamy S et al, 2016Garcia MA et al, 2012Oh JY et al, 2009 -0.83 (-1.01, -0.64) endocrine abnormalities has been extensively studied.…”

Section: Discussionmentioning

confidence: 99%

“…A total of 39 observational cross sectional, prospective cohort, and case control studies involving 5,121 patients and 5,059 controls were included. Of all the studies, 18 were performed in Europe [Dadachanji et al 2015;Lauritsen et al 2014;Schweighofer et al 2012;Kim et al 2012;Pangaribuan et al 2012;Schüring et al 2012;Houjeghani et al 2012;Koiou et al 2011;Tarkun et al 2004;Liu et al 2008;Li et al 2006;Sieminska et al 2004;Richard 2002;Lin et al 2015;Jayagopal 2003;Elci et al 2016;Kim et al 2013;Danilowicz et al 2014], 18 in Asia [Zhu et al 2016;Jamil et al 2015;Baldani et al 2015;O'Reilly et al 2014;Martínez-García et al 2012;Alili and Idrizi 2014;El-Shal et al 2013;Skrgatic et al 2012;Dikmen 2011;Chae et al 2010;Oh et al 2009;Xita et al 2008;Bendlov et al 2007;Atamer et al 2008;Ferk et al 2007, Tarkun et al 2010Anttila et al 1996;Prelević 1993], 2 in Africa [Song et al 2014;Yasmin et al 2013], and 1 in North America [Kim et al 2014]. Studies used a variety of methods to identify patients with PCOS.…”

Section: Characteristics and Quality Assessment Of The Studies For Sementioning

confidence: 99%

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Sex hormone binding globulin - an important biomarker for predicting PCOS risk: A systematic review and meta-analysis

Deswal

Yadav

Dang

2017

Systems Biology in Reproductive Medicine

114

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Sex hormone-binding globulin (SHBG) is a glycoprotein which regulates bioavailability of sex steroid hormones. Interest in SHBG has escalated in recent years because of its inverse association with polycystic ovary syndrome (PCOS), obesity, insulin resistance, metabolic syndrome, and diabetes type II. This meta-analysis was performed to examine the associations of SHBG with PCOS and to correlate serum SHBG levels with various PCOS associated endocrine and metabolic dysregulation as well as to determine the effects of various therapeutic agents on serum SHBG levels in PCOS patients in order to assess the true accuracy of SHBG in the prediction of PCOS. A literature search was performed using Pub-Med, Science direct, google scholar, EMBASE, and Cochrane library. A total of 675 relevant records were identified, of which 62 articles were included. Meta-analysis using a random-effects model was performed using STATA version 13 to calculate standardized mean difference (SMD) with 95% confidence intervals (95 % CIs). SHBG levels in controls were significantly higher than that of PCOS patients (SMD= -0.83, 95%CI = -1.01, -0.64), with significant heterogeneity across studies (I= 93.9% and p=0.000). Our results suggest that the lower serum SHBG levels are associated with the risk of PCOS. SHBG may also play an important role in various metabolic disturbances in PCOS patients. Therapeutic interventions improved SHBG levels in PCOS women which further reduced PCOS associated complications. Therefore, SHBG levels may prove to be a useful biomarker for the diagnosis and treatment of PCOS. Systematic review registration: PROSPERO CRD42017057972 Abbreviations: PCOS: polycystic ovary syndrome; SHBG: sex hormone-binding globulin.

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Section: Discussionmentioning

confidence: 99%

Section: Characteristics and Quality Assessment Of The Studies For Sementioning

confidence: 99%

Sex hormone binding globulin - an important biomarker for predicting PCOS risk: A systematic review and meta-analysis

Deswal

Yadav

Dang

2017

Systems Biology in Reproductive Medicine

114

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“…Two polymorphisms (L55M and Q192R) of paraoxonase 1 ( PON1 ) gene were studied for their association with PCOS susceptibility and related traits in Indian women from Mumbai63, and the authors found that one of those SNPs (L55M) was associated with reduced PCOS susceptibility only in lean women and that it also impacted features such as hyperandrogenemia, lipid parameters and glucose metabolism in these women. This led the authors to suggest that the genetic pathophysiology of PCOS was different in lean and obese women.…”

Section: Studies In the Genetics Of Pcos From Indiamentioning

confidence: 99%

Epidemiology, pathogenesis, genetics & management of polycystic ovary syndrome in India

et al. 2019

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Polycystic ovary syndrome (PCOS) is a common endocrine disorder predominantly affecting women of reproductive age. Clinical manifestations are diverse including hyperandrogenism, anovulation, infertility and increased risk of metabolic diseases besides psychosocial dysfunction. This review provides information on the problem of PCOS in India, its pathophysiology, genetics and an overview of current management options to instigate further research in this field. Prevalence of PCOS in India ranges from 3.7 to 22.5 per cent depending on the population studied and the criteria used for diagnosis. Abnormalities in leptin-adiponectin (adipocyte biology), oxidative stress and autoimmunity are among the mechanisms studied regarding pathogenesis of PCOS. Many candidate gene studies have shown associations with PCOS in various studies. Studies have consistently demonstrated the relationship between the well-known manifestation of hyperandrogenism among Indian PCOS women and the metabolic morbidities including insulin resistance, glucose intolerance and cardiovascular risk. Management of individual components of PCOS can be achieved by medications or surgical methods, though further clarification regarding pathogenesis of PCOS is needed to sharpen our therapeutic armamentarium.

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“…Moreover, the impact of gene-environment and epigenetic alterations in addition to sequence variations may not be suitably captured (31). Previous studies have evidenced that genetic dissimilarities exist when the study groups were classified based on obesity (42,105,(118)(119)(120)or different diagnostic criteria were used for classifying PCOS(121).…”

Section: Discussionmentioning

confidence: 99%

Pathomechanisms of polycystic ovary syndrome Multidimensional approaches

2018

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Polycystic ovary syndrome is a complex endocrine disorder affecting numerous women of reproductive age across the globe. Characterized mainly by irregular menses, hirsutism, skewed LH: FSH ratios and bulky polycystic ovaries, this multifactorial endocrinopathy results in unfavorable reproductive and metabolic sequelae, including anovulatory infertility, type 2 diabetes, metabolic syndrome and cardiovascular disease in later years. Increasing evidence has shown that the manifestation of polycystic ovary syndrome (PCOS) is attributable to a cumulative impact of altered genetic, epigenetic and protein profiles which bring about a systemic dysfunction. While genetic approaches help ascertain role of causal variants in its etiology, tissue-specific epigenetic patterns help in deciphering the auxiliary role of environmental, nutritional and behavioral factors. Proteomics is advantageous, linking both genotype and phenotype and contributing to biomarker discovery. Investigating molecular mechanism underlying PCOS is imperative in order to gain insight into the pathophysiology of PCOS and formulate novel diagnostic and treatment strategies. In this review we have summarized these three aspects, which have been successfully utilized to delineate the pathomechanisms of PCOS.

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PON1 polymorphisms are associated with polycystic ovary syndrome susceptibility, related traits, and PON1 activity in Indian women with the syndrome

Cited by 20 publications

References 56 publications

Sex hormone binding globulin - an important biomarker for predicting PCOS risk: A systematic review and meta-analysis

Sex hormone binding globulin - an important biomarker for predicting PCOS risk: A systematic review and meta-analysis

Epidemiology, pathogenesis, genetics & management of polycystic ovary syndrome in India

Pathomechanisms of polycystic ovary syndrome Multidimensional approaches

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