scholarly journals Adipose tissue insulin resistance in peripubertal girls with first-degree family history of polycystic ovary syndrome

2012 ◽  
Vol 98 (6) ◽  
pp. 1627-1634 ◽  
Author(s):  
Andréanne Trottier ◽  
Marie-Claude Battista ◽  
David H. Geller ◽  
Brigitte Moreau ◽  
André C. Carpentier ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Family History ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
History Of

Polycystic ovary syndrome in Iranian adolescents

2014 ◽  
Vol 26 (4) ◽  
pp. 559-565 ◽  
Author(s):  
Seddigheh Esmaeilzadeh ◽  
Mouloud Agajani Delavar ◽  
Mania Amiri ◽  
Soraya Khafri ◽  
Nargess Gholizadeh Pasha
Keyword(s):  
Insulin Resistance ◽  
High School Students ◽  
Family History ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Endocrine Function ◽  
School Students ◽  
Ovary Syndrome ◽  
Wrist Circumference ◽  
History Of

Abstract Objective: Polycystic ovary syndrome (PCOS) is linked with metabolic syndrome, which includes obesity, insulin resistance, dyslipidemia, and endocrine function in patients with PCOS. The aim of this study was to determine the prevalence of adolescent PCOS and characteristics associated with PCOS in adolescents in Babol, Iran. Materials and methods: A cross-sectional study was conducted on 1549 girl high school students aged 16–20 years who were living in Iran. After overnight fasting, blood samples were collected to determine hormones and lipid levels in PCOS patients between the first and fifth days of their menstrual period or withdrawal bleeding. Results: The overall prevalence of adolescent PCOS was 129 (8.3%) (95% CI; 4.0, 12.0). Irregular menstruation was observed in 24.1% of adolescents. A total of 68% of PCOS adolescents had insulin resistance. Compared with non-PCOS adolescents, the OR of adolescent PCOS for family history of hirsutism was 1.53 (95% CI, 1.06–2.20; p=0.024), family history of irregular menstrual cycle was 2.27 (95% CI, 1.56–3.30; p<0.001), menarche age <13 years was 1.95 (95% CI, 1.36–2.81; p<0.001), hirsutism was 1.14 (CI 95%, 1.10–1.17; p<0.001), acne was 5.10 (CI 95%, 3.52–7.40; p<0.001), and wrist circumference was 1.28 (CI 95%, 1.07–1.54; p=0.007). Conclusion: The presenting findings showed the high prevalence of PCOS among Iranian adolescents. Emphasis should be placed on clinical screening in adolescents with high-risk factors, including irregular menstrual, menarche <13 years, hirsutism, acne, high wrist circumference, and paternal obesity to help reduce the risk of developing metabolic disturbance and to find ways to improve long-term health.

scholarly journals Insulin Resistance in Non-Obese Polycystic Ovary Syndrome Subjects and Relation with Family History of Diabetes Mellitus

2015 ◽  
Vol 19 (2) ◽  
pp. 55-59 ◽  
Author(s):  
Emre Bozkırlı ◽  
Okan Bakıner ◽  
Eda Ertörer ◽  
İnan Anaforoğlu ◽  
Neslihan Başçıl Tütüncü ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Family History ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Family History Of Diabetes ◽  
History Of

scholarly journals Endocrinological and metabolic characteristics in patients who are non-obese and have polycystic ovary syndrome and different types of a family history of type 2 diabetes mellitus

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110166
Author(s):  
Yuan Wang ◽  
Hua Gao ◽  
Wen Di ◽  
Zhuowei Gu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
History Of ◽  
Second Degree

Objective We aimed to investigate whether patients with polycystic ovary syndrome (PCOS) and a family history (FH) of type 2 diabetes mellitus (T2DM) are at increased risk of endocrinological and metabolic abnormalities, and whether this risk differs between first-degree and second-degree relatives, and between maternal and paternal transmission. Methods A total of 680 patients with PCOS were enrolled in this retrospective, single-center study. Endocrine and glycolipid metabolism parameters were compared. Results The free androgen index (FAI), and levels of fasting blood glucose (FBG), fasting insulin (FINS), homeostatic model assessment-insulin resistance (HOMA-IR), total cholesterol (TC), and low-density lipoprotein cholesterol were significantly higher, whereas sex hormone binding globulin (SHBG) levels were significantly lower in patients with PCOS and a FH of T2DM. In patients with PCOS with a FH of T2DM in first-degree relatives, age and levels of FBG, FINS, and HOMA-IR were significantly higher than those who had a FH of T2DM in second-degree relatives. A maternal history of T2DM was associated with a higher body mass index, FAI, and TG levels, and lower SHBG levels. Conclusions Patients with PCOS and a FH of T2DM have more severe hyperandrogenism and metabolic disorders, especially in those with maternal transmission.

scholarly journals The Polycystic Ovary Syndrome and the Metabolic Syndrome: A Possible Chronobiotic-Cytoprotective Adjuvant Therapy

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Eduardo Spinedi ◽  
Daniel P. Cardinali
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
Polycystic Ovary Syndrome ◽  
White Adipose Tissue ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
The Metabolic Syndrome ◽  
Obstructive Sleep ◽  
The Impact

Polycystic ovary syndrome is a highly frequent reproductive-endocrine disorder affecting up to 8–10% of women worldwide at reproductive age. Although its etiology is not fully understood, evidence suggests that insulin resistance, with or without compensatory hyperinsulinemia, and hyperandrogenism are very common features of the polycystic ovary syndrome phenotype. Dysfunctional white adipose tissue has been identified as a major contributing factor for insulin resistance in polycystic ovary syndrome. Environmental (e.g., chronodisruption) and genetic/epigenetic factors may also play relevant roles in syndrome development. Overweight and/or obesity are very common in women with polycystic ovary syndrome, thus suggesting that some polycystic ovary syndrome and metabolic syndrome female phenotypes share common characteristics. Sleep disturbances have been reported to double in women with PCOS and obstructive sleep apnea is a common feature in polycystic ovary syndrome patients. Maturation of the luteinizing hormone-releasing hormone secretion pattern in girls in puberty is closely related to changes in the sleep-wake cycle and could have relevance in the pathogenesis of polycystic ovary syndrome. This review article focuses on two main issues in the polycystic ovary syndrome-metabolic syndrome phenotype development: (a) the impact of androgen excess on white adipose tissue function and (b) the possible efficacy of adjuvant melatonin therapy to improve the chronobiologic profile in polycystic ovary syndrome-metabolic syndrome individuals. Genetic variants in melatonin receptor have been linked to increased risk of developing polycystic ovary syndrome, to impairments in insulin secretion, and to increased fasting glucose levels. Melatonin therapy may protect against several metabolic syndrome comorbidities in polycystic ovary syndrome and could be applied from the initial phases of patients’ treatment.

scholarly journals Frequency of Polycystic Ovary Syndrome among the Students of a Medical College in Dhaka City

2020 ◽  
Vol 5 (3) ◽  
Keyword(s):  
Family History ◽  
Polycystic Ovary Syndrome ◽  
Acanthosis Nigricans ◽  
Polycystic Ovary ◽  
Total Testosterone ◽  
Dhaka City ◽  
Ovary Syndrome ◽  
Medical College ◽  
Pcos Group ◽  
History Of

Background: Polycystic ovary syndrome (PCOS) is a common heterogeneous endocrine disorder. Only few data are available in Bangladesh. The aim of this study was to find out the frequency of PCOS among the students of a medical college in Dhaka city. Materials & Methods: This cross sectional study was done among the 3rd to 5th year students of Ibrahim Medical College. We used Rotterdam criteria (Revised 2003) for diagnosis of PCOS. After taking written consent, a detailed history including menstrual history was taken. Anthropometric measurements including height in cm, weight in kg, waist circumference (WC) were measured. We assessed hyperandrogenism (H) clinically by hirsutism using a modified Ferriman-Gallway (mFG) method. The presence of acne and acanthosis nigricans was also noted. For biochemical hyperandrogenism we did total testosterone estimation. Blood samples was collected between 08.00 and 10.00 am on Days 2-7 of a spontaneous bleeding episode or randomly in the case of amenorrhea after an overnight fast. The circulating levels of total testosterone, levels were measured by Chemiluminescent Immunoassay (Advia Centaur XPTM). Transabdominal USG (Aloka F37) was done by expert radiologist of department of Radiology, BIRDEM. PCOS group was categorized in 4 different phenotypes based on the presence of oligo-anovulation (O), hyperandrogenism (H) and polycystic ovarian morphology (P) : (i) Phenotype A (O+ H+ P), (ii) Phenotype B (O+H), (iii) Phenotype C (H+P) and (iv) Phenotype D (O+P). Results: Out of 73 girls 27(37%) satisfied Rotterdam’s criteria for PCOS. Phenotype B was more common 16(59.3%) followed by A 5(18.5%) then C 3(11.1%) and D 3(11.1%). Hirsutism was found in 24 (88.8%) girls, menstrual disturbance was also present among 24 (88.8%) girls, serum testosterone was elevated in 6(22.2%) girls, 11(40.7%) had USG findings of polycystic ovaries. The mean BMI (24.70 + 3.7) was significantly high (BMI > 23 kg/ m2) among those who had PCOS (59.86%). Acne & acanthosis nigricans was observed 15(55.6%) & 6(22.2%) girls among PCOS respectively which were not statistically significant. Hypothyroidism was observed 7(25.9%) girls with PCOS. Associated family history of DM found in 21(77.8%) girls with PCOS. Family history of PCOS was present in 7(25.9%) girls in PCOS group. The difference were statistically significant (p<0.05) between two groups. Conclusion: Prevalence of PCOS is 37%, which demonstrates that PCOS is an emerging disorder. This draws attention to the issue of early diagnosis, which could provide opportunity to target the group to prevent future morbidities.

scholarly journals Risk Prediction of Gestational Diabetes Mellitus In Women With Polycystic Ovary Syndrome Based On A Nomogram Model

2021 ◽  
Author(s):  
Peilin Ouyang ◽  
You Yiping ◽  
Jia Xiaozhou ◽  
Yang Liqin
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Polycystic Ovary Syndrome ◽  
Gestational Diabetes Mellitus ◽  
Polycystic Ovary ◽  
First Trimester ◽  
Ovary Syndrome ◽  
Family History Of Diabetes ◽  
History Of

Abstract Women with polycystic ovary syndrome are prone to develop gestational diabetes mellitus, a disease which may have significant impact on the postpartum health of both mother and infant. We performed a retrospective cohort study to develop and test a model that could predict gestational diabetes mellitus in the first trimester in women with polycystic ovary syndrome. Our study included 520 pregnant women who were referred to the obstetrics department between December 2017 and March 2020 with a diagnosis of polycystic ovary syndrome. Of these women, 171 were diagnosed with gestational diabetes mellitus in the second trimester. Univariate analysis revealed that in the first trimester, parity, family history of diabetes, age, body mass index (BMI), testosterone, low density lipoprotein cholesterol, triglyceride(TG), total cholesterol(TC), fasting plasma glucose(FPG), Hemoglobin A1c (HbA1C), diastolic blood pressure(DBP)，and insulin levels were predictive factors of gestational diabetes mellitus (P<0.05). Logistic analysis revealed that TG, age, HbA1C, Insulin, TC, BMI and family history of diabetes were independent risk factors for gestational diabetes mellitus. The area under the ROC curve of the gestational diabetes mellitus risk prediction model was 0.917 in this retrospective analysis, demonstrating the great ability to predict. The sensitivity and specificity of the prediction model were 0.814 and 0.871, respectively. The Hosmer–Lemeshow test also showed a good fit to the test.

Adiposity and metabolic dysfunction in polycystic ovary syndrome

2015 ◽  
Vol 21 (2) ◽  
Author(s):  
Susan Sam
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Polycystic Ovary Syndrome ◽  
Metabolic Disorders ◽  
Polycystic Ovary ◽  
Reproductive Age ◽  
Metabolic Dysfunction ◽  
Obese Women ◽  
Ovary Syndrome ◽  
Insulin Resistant

AbstractPolycystic ovary syndrome (PCOS) is the most common hormonal disorder among reproductive-age women and is associated with a high risk for metabolic disorders. Adiposity and insulin resistance are two prevalent conditions in PCOS and the likely culprits for the heightened metabolic risk. Up to 60% of women with PCOS are considered to be overweight or obese, and even among non-obese women with PCOS there is an increased accumulation of adipose tissue in abdominal depots. Insulin resistance in PCOS is unique and independent of obesity, as even non-obese women with this condition are frequently insulin resistant. However, obesity substantially aggravates the insulin resistance and the metabolic and reproductive abnormalities in women with PCOS. Recently, it has been shown that many aspects of adipose tissue function in PCOS are abnormal, and these abnormalities likely predispose to development of insulin resistance even in the absence of obesity. This review provides an overview of these abnormalities and their impact on development of metabolic disorders. At the end, an overview of the therapeutic options for management of adiposity and its complications in PCOS are discussed.

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