Clinical and metabolic characteristics in a population of obese tunisian women with polykystic ovary syndrome (pkos)

2019 ◽  
Author(s):  
Chaima Jemai ◽  
Mahjoub Faten ◽  
Sellami Senda ◽  
Alaya Nadia ◽  
Berriche Olfa ◽  
...  
Keyword(s):  
Ovary Syndrome ◽  
Metabolic Characteristics

scholarly journals Lipid accumulation product as a marker of cardiometabolic susceptibility in women with different phenotypes of polycystic ovary syndrome

2016 ◽  
Vol 175 (6) ◽  
pp. 551-560 ◽  
Author(s):  
Ivana Božić-Antić ◽  
Dušan Ilić ◽  
Jelica Bjekić-Macut ◽  
Tamara Bogavac ◽  
Danijela Vojnović-Milutinović ◽  
...  
Keyword(s):  
Lipid Accumulation ◽  
Polycystic Ovary ◽  
Surrogate Marker ◽  
International Diabetes Federation ◽  
Caucasian Population ◽  
Limited Data ◽  
Lipid Accumulation Product ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Metabolic Characteristics

AbstractObjectiveThere are limited data on cardiometabolic risk factors and the prevalence of metabolic syndrome (MetS) across the different PCOS phenotypes in Caucasian population. Lipid accumulation product (LAP) is a clinical surrogate marker that could be used for evaluation of MetS in clinical practice. The aim of the study was to analyze metabolic characteristics and the ability of LAP to predict MetS in different PCOS phenotypes.DesignCross-sectional clinical study analyzing 365 women with PCOS divided into four phenotypes according to the ESHRE/ASRM criteria, and 125 healthy BMI-matched controls.MethodsIn all subjects, LAP was determined and MetS was diagnosed according to the National Cholesterol Education Program/Adult Treatment Panel III (NCEP-ATP III), the International Diabetes Federation (IDF) and the Joint Interim Statement (JIS) criteria. Logistic regression and ROC curve analyses were used to determine predictors of MetS in each PCOS phenotype. All analyses were performed with age and BMI adjustment.ResultsAll PCOS phenotypes in comparison to controls had higher prevalence of MetS assessed by NCEP-ATP III criteria, and only classic phenotypes when IDF and JIS criteria were used. All phenotypes had the same prevalence of MetS irrespective of used definition. LAP and exhibited the highest diagnostic accuracy and was an independent predictor of MetS in all phenotypes.ConclusionLAP is an independent and accurate clinical determinant of MetS in all PCOS phenotypes in our Caucasian population. All PCOS phenotypes, including non-classic ones, are metabolically challenged and with cardiovascular risk, particularly phenotype B.

scholarly journals Body composition, metabolic characteristics, and insulin resistance in obese and nonobese women with polycystic ovary syndrome

2019 ◽  
Vol 12 (2) ◽  
pp. 78
Author(s):  
ThomasV Paul ◽  
Anil Satyaraddi ◽  
KripaElizabeth Cherian ◽  
Nitin Kapoor ◽  
AleyammaThaiparambil Kunjummen ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Metabolic Characteristics

scholarly journals A New Rat Model Exhibiting Both Ovarian and Metabolic Characteristics of Polycystic Ovary Syndrome

Endocrinology ◽  
2007 ◽  
Vol 148 (8) ◽  
pp. 3781-3791 ◽  
Author(s):  
Louise Mannerås ◽  
Stefan Cajander ◽  
Agneta Holmäng ◽  
Zamira Seleskovic ◽  
Theodore Lystig ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Structural Changes ◽  
Polycystic Ovary ◽  
Female Rats ◽  
Polycystic Ovaries ◽  
Ovary Syndrome ◽  
Continuous Administration ◽  
Metabolic Characteristics ◽  
Theca Interna

Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder associated with ovulatory dysfunction, hyperandrogenism, abdominal obesity, and insulin resistance. However, its etiology is unclear, and its management is often unsatisfactory or requires a diversified approach. Here, we describe a new rat PCOS model, the first to exhibit both ovarian and metabolic characteristics of the syndrome. Female rats received the nonaromatizable androgen dihydrotestosterone (DHT) or the aromatase inhibitor letrozole by continuous administration, beginning before puberty, to activate androgen receptors. Adult DHT rats had irregular cycles, polycystic ovaries characterized by cysts formed from atretic follicles, and a diminished granulosa layer. They also displayed metabolic features, including increased body weight, increased body fat, and enlarged mesenteric adipocytes, as well as elevated leptin levels and insulin resistance. All letrozole rats were anovulatory and developed polycystic ovaries with structural changes strikingly similar to those in human PCOS. Our findings suggest that the formation of a “hyperplastic” theca interna reflects the inclusion of luteinized granulosa cells in the cyst wall rather than true hyperplasia. We conclude that the letrozole model is suitable for studies of the ovarian features of human PCOS, while the DHT model is suitable for studies of both ovarian and metabolic features of the syndrome.

Clinical and metabolic characteristics of Turkish adolescents with polycystic ovary syndrome

2017 ◽  
Vol 38 (2) ◽  
pp. 236-240 ◽  
Author(s):  
Seda Ates ◽  
Serdar Aydın ◽  
Pinar Ozcan ◽  
Zeynep Soyman ◽  
Ayse Filiz Gokmen Karasu ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Metabolic Characteristics

scholarly journals Association between menstrual cycle irregularities and endocrine and metabolic characteristics of the polycystic ovary syndrome

2013 ◽  
Vol 168 (2) ◽  
pp. 145-152 ◽  
Author(s):  
Dimitrios Panidis ◽  
Konstantinos Tziomalos ◽  
Panagiotis Chatzis ◽  
Efstathios Papadakis ◽  
Dimitrios Delkos ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Secondary Amenorrhea ◽  
Insulin Resistant ◽  
Metabolic Characteristics ◽  
Increased Risk ◽  
Group D

ObjectiveInsulin resistance (IR) is frequent in polycystic ovary syndrome (PCOS) and contributes to the increased risk for type 2 diabetes mellitus and cardiovascular disease of this population. Several markers of IR are used but most are expensive or have limited sensitivity and specificity. Preliminary data suggest that the menstrual cycle pattern correlates with IR in PCOS but existing studies are small. We aimed to assess the relationship between the type of menstrual cycle irregularities and IR in PCOS.DesignProspective study.MethodsWe studied 1285 women with PCOS, divided according to the menstrual cycle pattern.ResultsPatients with isolated secondary amenorrhea and those with secondary amenorrhea alternating with regular menstrual cycles were more insulin resistant than patients with regular cycles (Group D). Patients with isolated oligomenorrhea were also more insulin resistant than Group D. However, patients with oligomenorrhea alternating with regular cycles, secondary amenorrhea, or polymenorrhea had comparable levels of markers of IR with Group D. Moreover, patients with oligomenorrhea alternating with regular cycles were less insulin resistant than patients with secondary amenorrhea alternating with regular cycles. Finally, patients with isolated polymenorrhea and those with polymenorrhea alternating with regular cycles had comparable levels of markers of IR with Group D.ConclusionsAmenorrhea is associated with more pronounced IR in PCOS, and oligomenorrhea portends a less excessive risk for IR than amenorrhea whereas polymenorrhea appears to be even more benign metabolically. Therefore, the type of menstrual cycle abnormality appears to represent a useful tool for identifying a more adverse metabolic profile in PCOS.

scholarly journals Effects of Metformin on Reproductive, Endocrine, and Metabolic Characteristics of Female Offspring in a Rat Model of Letrozole-induced Polycystic Ovarian Syndrome With Insulin Resistant

2020 ◽  
Author(s):  
Yidong Xie ◽  
Li Xiao ◽  
Xiaohan Shi ◽  
Yifan Zhao ◽  
Xiaohong Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Rat Model ◽  
Wistar Rats ◽  
Polycystic Ovary ◽  
Female Offspring ◽  
Ovary Syndrome ◽  
Metabolic Characteristics ◽  
Reproductive Endocrine ◽  
The Impact

Abstract Background: Polycystic ovary syndrome (PCOS) is a complex and heterogeneous endocrine disorder that has many characteristic features including hyperandrogenemia, insulin resistance and obesity. The beneficial effects of metformin on reproduction, metabolism and endocrine, especially with the capacity to ameliorate insulin resistance (IR) in polycystic ovary syndrome (PCOS), place it as a good alternative for its widely prescribed, but its association with PCOS offspring remains uncertain. We aim to investigate the impact of metformin on reproductive, endocrine and metabolic characteristics in female offspring born to letrozole-induced PCOS-IR rats.Methods: 45 female wistar rats were implanted with letrozole-continuous-release pellets or placebo, subsequently treated with metformin or vehicle control, then mated with healthy male wistar rats. Estrous cycle, endocrine hormone profile, fasting insulin measurements and glucose tolerance test have been investigated and the expression of INSR in pancreas, FSHR and LHCGR in ovaries have been analyzed with Quantitative Real-time Polymerase Chain Reaction and Western Blotting assay.Results: Decreased conception rate and increased multiple pregnancy rates were found in PCOS-IR rats, which significantly improved after metformin treatment. Metformin significantly decreased the risk of body weight gain and increased INSR expression of pancreas in female F1 offspring in PCOS-IR rats. Decreased FSHR and increased LHCGR expressions in ovary were observed in female F1 rats of PCOS-IR and PCOS-IR+Met group. Nevertheless, there were no significant differences of INSR, FSHR and LHCGR expressions in female F2 offspring of PCOS-IR rats, as well as other PCOS phenotypes.Conclusions: The current study indicates that widespread reproductive, endocrine and metabolic changes in letrozole induced PCOS-IR rat model, but those PCOS phenotypes could not be inherit to offspring generations stably. Metformin may contribute to improve obesity, hyperinsulinemia and insulin resistance of female F1 offspring in PCOS-IR. The results of this study can be used as a theoretical basis for supporting metformin-using in the treatment of PCOS-IR patients.

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