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Na H, Wang R, Zheng HL, Chen XP, Zheng LY. Correlation between Insulin Resistance and Microalbuminuria Creatinine Ratio in Postmenopausal Women. Int J Endocrinol 2022; 2022:9583611. [PMID: 36072812 PMCID: PMC9444479 DOI: 10.1155/2022/9583611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE To study the relationship between insulin resistance and urinary microalbumin creatinine ratio in postmenopausal women. METHODS The selected research group comprised 104 postmenopausal women with type 2 diabetes who were admitted to the Department of Endocrinology in the green card center at the First Affiliated Hospital of Hainan Medical University between 2017 and 2019 inclusive. Ninety-eight postmenopausal women with the normal blood glucose metabolism hospitalized in the same period were used as the control group. The age, body mass index, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate, fasting blood glucose, fasting insulin (FINS), glycosylated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and urinary albumin-creatinine ratio (UACR) were analyzed. The insulin resistance index (HOMR-IR) was calculated, and the correlation between IR and UACR was analyzed. RESULTS Levels of HOMA-IR, SBP, HbA1c, HDL-C, LDL-C, TC, TG, FPG, FINS, and UACR in the study group were higher than those in the control group, and a significant difference was found between the groups (P < 0.05). The level of DBP in the study group was lower than that in the control group, and the difference was statistically significant (P < 0.05). Pearson correlation analysis showed that UACR was positively correlated with HOMA-IR and HbA1c (r = 0.254, r = 0.565, P < 0.01). Multiple linear stepwise regression analysis further showed that HOMA-IR and age were positively correlated with UACR (P < 0.05). CONCLUSION There is a correlation between IR and UACR in postmenopausal women. IR is an independent risk factor for UACR.
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Affiliation(s)
- Han Na
- Department of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China
| | - Rong Wang
- Department of Wound Repair, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China
| | - Hai-Long Zheng
- Department of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China
| | - Xiao-Pan Chen
- Department of Wound Repair, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China
| | - Lin-Yang Zheng
- Department of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou 571000, China
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2
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Gunning MN, Sir Petermann T, Crisosto N, van Rijn BB, de Wilde MA, Christ JP, Uiterwaal CSPM, de Jager W, Eijkemans MJC, Kunselman AR, Legro RS, Fauser BCJM. Cardiometabolic health in offspring of women with PCOS compared to healthy controls: a systematic review and individual participant data meta-analysis. Hum Reprod Update 2020; 26:103-117. [PMID: 31867675 PMCID: PMC7007319 DOI: 10.1093/humupd/dmz036] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 07/28/2019] [Accepted: 08/08/2019] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Women diagnosed with polycystic ovary syndrome (PCOS) suffer from an unfavorable cardiometabolic risk profile, which is already established by child-bearing age. OBJECTIVE AND RATIONALE The aim of this systematic review along with an individual participant data meta-analysis is to evaluate whether cardiometabolic features in the offspring (females and males aged 1–18 years) of women with PCOS (OPCOS) are less favorable compared to the offspring of healthy controls. SEARCH METHODS PubMed, Embase and gray literature databases were searched by three authors independently (M.N.G., M.A.W and J.C.) (last updated on 1 February 2018). Relevant key terms such as ‘offspring’ and ‘PCOS’ were combined. Outcomes were age-specific standardized scores of various cardiometabolic parameters: BMI, blood pressure, glucose, insulin, lipid profile and the sum scores of various cardiometabolic features (metabolic sum score). Linear mixed models were used for analyses with standardized beta (β) as outcome. OUTCOMES Nine relevant observational studies could be identified, which jointly included 1367 children: OPCOS and controls, originating from the Netherlands, Chile and the USA. After excluding neonates, duplicate records and follow-up screenings, a total of 885 subjects remained. In adjusted analyses, we observed that OPCOS (n = 298) exhibited increased plasma levels of fasting insulin (β = 0.21(95%CI: 0.01–0.41), P = 0.05), insulin-resistance (β = 0.21(95%CI: 0.01–0.42), P = 0.04), triglycerides (β = 0.19(95%CI: 0.02–0.36), P = 0.03) and high-density lipoprotein (HDL)-cholesterol concentrations (β = 0.31(95%CI: 0.08–0.54), P < 0.01), but a reduced birthweight (β = −116(95%CI: −195 to 38), P < 0.01) compared to controls (n = 587). After correction for multiple testing, however, differences in insulin and triglycerides lost their statistical significance. Interaction tests for sex revealed differences between males and females when comparing OPCOS versus controls. A higher 2-hour fasting insulin was observed among female OPCOS versus female controls (estimated difference for females (βf) = 0.45(95%CI: 0.07 to 0.83)) compared to the estimated difference between males ((βm) = −0.20(95%CI: −0.58 to 0.19)), with interaction-test: P = 0.03. Low-density lipoprotein–cholesterol differences in OPCOS versus controls were lower among females (βf = −0.39(95%CI: −0.62 to 0.16)), but comparable between male OPCOS and male controls (βm = 0.27(95%CI: −0.03 to 0.57)), with interaction-test: P < 0.01. Total cholesterol differences in OPCOS versus controls were also lower in females compared to the difference in male OPCOS and male controls (βf = −0.31(95%CI: −0.57 to 0.06), βm = 0.28(95%CI: −0.01 to 0.56), interaction-test: P = 0.01). The difference in HDL-cholesterol among female OPCOS versus controls (βf = 0.53(95%CI: 0.18–0.88)) was larger compared to the estimated mean difference among OPCOS males and the male controls (βm = 0.13(95%CI: −0.05−0.31), interaction-test: P < 0.01). Interaction test in metabolic sum score revealed a significant difference between females (OPCOS versus controls) and males (OPCOS versus controls); however, sub analyses performed in both sexes separately did not reveal a difference among females (OPCOS versus controls: βf = −0.14(95%CI: −1.05 to 0.77)) or males (OPCOS versus controls: βm = 0.85(95%CI: −0.10 to 1.79)), with P-value < 0.01. WIDER IMPLICATIONS We observed subtle signs of altered cardiometabolic health in OPCOS. Therefore, the unfavorable cardiovascular profile of women with PCOS at childbearing age may—next to a genetic predisposition—influence the health of their offspring. Sensitivity analyses revealed that these differences were predominantly observed among female offspring aged between 1 and 18 years. Moreover, studies with minimal risk of bias should elucidate the influence of a PCOS diagnosis in mothers on both sexes during fetal development and subsequently during childhood.
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Affiliation(s)
- Marlise N Gunning
- Department of Reproductive Medicine, Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Teresa Sir Petermann
- Endocrinology and Metabolism, University of Chile, Santiago, Chile.,Unit of Endocrinology, Clinica Las Condes, Santiago, Chile
| | - Nicolas Crisosto
- Endocrinology and Metabolism, University of Chile, Santiago, Chile.,Unit of Endocrinology, Clinica Las Condes, Santiago, Chile
| | - Bas B van Rijn
- Department of Obstetrics and Gynecology, Erasmus Medical Center, University Medical Center Rotterdam, The Netherlands.,Department of Obstetrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Marlieke A de Wilde
- Department of Reproductive Medicine, Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jacob P Christ
- Department of Reproductive Medicine, Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - C S P M Uiterwaal
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wilco de Jager
- Department of Pediatric Immunology, Centre for Molecular and Cellular Intervention, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marinus J C Eijkemans
- Department of Reproductive Medicine, Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Allen R Kunselman
- Department of Obstetrics and Gynecology, Penn State University College of Medicine, Hershey, PA, USA
| | - Richard S Legro
- Department of Obstetrics and Gynecology, Penn State University College of Medicine, Hershey, PA, USA
| | - Bart C J M Fauser
- Department of Reproductive Medicine, Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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3
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Lim SS, Kakoly NS, Tan JWJ, Fitzgerald G, Bahri Khomami M, Joham AE, Cooray SD, Misso ML, Norman RJ, Harrison CL, Ranasinha S, Teede HJ, Moran LJ. Metabolic syndrome in polycystic ovary syndrome: a systematic review, meta-analysis and meta-regression. Obes Rev 2019; 20:339-352. [PMID: 30339316 DOI: 10.1111/obr.12762] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 03/25/2018] [Accepted: 03/30/2018] [Indexed: 01/08/2023]
Abstract
Women with polycystic ovary syndrome (PCOS) have increased risk of metabolic syndrome. The relative contribution of clinical, demographic or biochemical factors to metabolic syndrome in PCOS is not known. A literature search was conducted in MEDLINE, CINAHL, EMBASE and clinical trial registries. Of 4530 studies reviewed, 59 were included in the systematic review and 27 in the meta-analysis and meta-regression. In good and fair quality studies, women with PCOS had an overall increased prevalence of metabolic syndrome (odds ratio, OR 3.35, 95% confidence interval, CI 2.44, 4.59). Increased prevalence of metabolic syndrome occurred in overweight or obese women with PCOS (OR 1.88, 95% 1.16, 3.04) but not in lean women (OR 1.45, 95% CI 0.35, 6.12). In meta-regression analyses, the markers of metabolic syndrome diagnostic criteria (waist circumference, high-density lipoprotein cholesterol, triglyceride, blood pressure), BMI, glucose tolerance (2-hr oral glucose tolerance test) and surrogate markers of insulin resistance (HOMA-IR) but not markers of reproductive dysfunction (sex hormone binding globulin, testosterone, PCOS phenotypes) contributed significantly to the heterogeneity in the prevalence of metabolic syndrome. Women with PCOS have increased risk of metabolic syndrome which was associated with obesity and metabolic features but not with indices of hyperandrogenism.
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Affiliation(s)
- S S Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - N S Kakoly
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - J W J Tan
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - G Fitzgerald
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - M Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - A E Joham
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia
| | - S D Cooray
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia
| | - M L Misso
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - R J Norman
- Robinson Research Institute, University of Adelaide and Fertility SA, Adelaide, South Australia, Australia
| | - C L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - S Ranasinha
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - H J Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Diabetes and Vascular Medicine Unit, Monash Health, Clayton, Victoria, Australia.,Monash Partners Academic Health Sciences Centre, Melbourne, Victoria, Australia
| | - L J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Robinson Research Institute, University of Adelaide and Fertility SA, Adelaide, South Australia, Australia
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4
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Zhang X, Sun L, Jin Z. Effect of placental sex hormone-binding globulin single nucleotide polymorphism rs6259 on protein and function in gestational diabetes mellitus. Int J Mol Med 2018; 41:2927-2934. [PMID: 29484425 DOI: 10.3892/ijmm.2018.3503] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 02/09/2018] [Indexed: 11/05/2022] Open
Abstract
Sex hormone-binding globulin (SHBG) has a key role in the occurrence and development of the gestational diab-etes mellitus (GDM). Single nucleotide polymorphism (SNP) rs6259 is a functional site in SHBG gene, which is suspected to regulate the SHBG level. The present study explored the placental SHBG SNP rs6259 distribution in Chinese pregnant women and the influence on placental SHBG concentrations, to assess the relationship of SHBG rs6259 in the occurrence and development of GDM. We screened the SHBG rs6259 allele in 210 healthy and 180 GDM gravidas by PCR-RFLP and restriction enzyme and measured placental SHBG concentrations in each genotypic group with western blot analysis. The mechanisms of SHBG rs6259 function were analyzed by cell culture, recombinant lentivirus transfection, real-time PCR, and western blot analysis. We found the differences of SHBG Asn327 allele frequency and the genotype distribution in GDM and control groups were statistically significant (P<0.05). Western blot analysis results showed that the Asn327 allele group was associated with a higher placental SHBG level than the Asp327 allele homozygote group (P<0.05). In HTR8-SVneo cell transfection, the positive transfection groups (SHBG-rs6259 Asn) led to an obviously higher tendency of SHBG mRNA and protein expression than the negative control groups (SHBG-rs6259 Asp), the normal cell group, and the blank control group (blank lentivirus LV-5) (P<0.05). Our data, therefore, reflected that SHBG SNP rs6259 causes changes in placental SHBG concentration and may play a functional role in the molecular mechanisms of GDM etiology.
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Affiliation(s)
- Xuan Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, Liaoning 110000, P.R. China
| | - Lei Sun
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, Liaoning 110000, P.R. China
| | - Zhen Jin
- Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, Liaoning 110000, P.R. China
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Abstract
Polycystic ovary syndrome (PCOS) is a familial heterogeneous disorder affecting 6% to 10% of reproductive-age women. The use of criteria developed for adult women is problematic for the adolescent girl because the clinical features associated with PCOS are normal pubertal events. The recent consensus statement on PCOS in adolescents stated that hyperandrogenism and oligomenorrhea need to persist for at least 2 years to consider the diagnosis of PCOS. Although insulin resistance, hyperinsulinism, and obesity are often associated with PCOS, these features are not considered valid diagnostic criteria. Recent genomewide association studies implicate genetic loci involved in the hypothalamic-pituitary-ovarian axis.
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Affiliation(s)
- Selma Feldman Witchel
- Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
| | - Hailey Roumimper
- Division of Pediatric Endocrinology, Diabetes & Metabolism, Columbia University Medical Center, 622 West 168th Street, PH5E-522, New York, NY 10032, USA
| | - Sharon Oberfield
- Columbia University Medical Center, Columbia University, 622 West 168th Street, PH5E-522, New York, NY 10032, USA.
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6
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Glueck CJ, Wang P. Age of Menarche and Oligomenorrhea in Adolescence: Cardiometabolic Ramifications in Adulthood. J Pediatr 2015; 167:225-7. [PMID: 26051971 DOI: 10.1016/j.jpeds.2015.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2015] [Accepted: 05/11/2015] [Indexed: 11/27/2022]
Affiliation(s)
- Charles J Glueck
- The Cholesterol, Metabolism and Thrombosis Center, Jewish Hospital of Cincinnati, Mercy Health Partners, Cholesterol Center, Cincinnati, Ohio.
| | - Ping Wang
- The Cholesterol, Metabolism and Thrombosis Center, Jewish Hospital of Cincinnati, Mercy Health Partners, Cholesterol Center, Cincinnati, Ohio
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7
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Glueck CJ, Woo JG, Khoury PR, Morrison JA, Daniels SR, Wang P. Adolescent oligomenorrhea (age 14-19) tracks into the third decade of life (age 20-28) and predicts increased cardiovascular risk factors and metabolic syndrome. Metabolism 2015; 64:539-53. [PMID: 25633270 DOI: 10.1016/j.metabol.2015.01.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Revised: 12/22/2014] [Accepted: 01/06/2015] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Assess whether adolescent oligomenorrhea (age 14-19) tracks into young adulthood (age 20-28) and predicts increased cardiometabolic risk factors, metabolic syndrome (MetS), and impaired fasting glucose-type II diabetes mellitus (IFG+T2DM). MATERIALS AND METHODS Prospective study of menstrual cyclicity and its metabolic effects in 865 black and white schoolgirls from age 9 to 19, and 605 of these 865 girls from age 20 to 28. MAIN FINDINGS Patterns of menstrual delays (oligomenorrhea) during ages 14-19 and ages 20-28 were closely related (p<.0001). Adolescent menses delay (ages 14-19, p<.0001), mean insulin (ages 20-28, p=.0003), and self-identified polycystic ovary syndrome (PCOS, p=.049) predicted ages 20-28 menses delay. Menses delays during ages 14-19 and 20-28, and, their interaction product were correlated with IFG+T2DM and MetS at ages 20-28. Waist circumference (ages 20-28, p<.0001), mean triglyceride (ages 20-28, p=.005), and the number of average menstrual cycles≥42 days (ages 20-28, p=.04) predicted IFG+T2DM (ages 20-28). MetS (ages 9-19, p<.0001), mean insulin (ages 20-28, p=.0002), the number of ≥42 day gaps between menstrual periods (ages 20-28, p=.02), and cigarette smoking at age 18-19 (p=.04) were significant explanatory variables for MetS at ages 27-28. As MetS status category changed from age 14-19 to 27-28 from best to worst: (no → no), (yes → no), (yes → yes), (no → yes), the number of women with ≥2 menses delays during ages 20-28 rose from 3% to 4% to 15% to 17%, p=.0001. MetS status change from age 9-19 to 27-28 was positively associated with mean insulin (age 20-28, p<.0001), cigarette smoking (age 24-25, p=.01) and the number of menses delays during ages 20-28 (p=.04). PRINCIPAL CONCLUSIONS Menstrual patterns track from adolescence to young adulthood, and oligomenorrhea predicts MetS and IFG+T2DM. Patterns of menses delays in adolescence should be considered as a significant risk factor for future development of young adult IFG+T2DM, MetS, oligomenorrhea, and polycystic ovary syndrome.
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Affiliation(s)
- Charles J Glueck
- Cholesterol Metabolism Thrombosis Center Jewish Hospital of Cincinnati, Cincinnati, OH.
| | - Jessica G Woo
- Heart Institute the Division of Biostatistics Epidemiology Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Philip R Khoury
- Heart Institute the Division of Biostatistics Epidemiology Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - John A Morrison
- Heart Institute the Division of Biostatistics Epidemiology Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | | | - Ping Wang
- Cholesterol Metabolism Thrombosis Center Jewish Hospital of Cincinnati, Cincinnati, OH
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Glueck CJ, Wang P, Woo JG, Morrison JA, Khoury PR, Daniels SR. Adolescent and young adult female determinants of visceral adipose tissue at ages 26-28 years. J Pediatr 2015; 166:936-46.e1-3. [PMID: 25641236 DOI: 10.1016/j.jpeds.2014.12.030] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Revised: 10/17/2014] [Accepted: 12/12/2014] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To assess adolescent and young adult determinants of visceral adipose tissue (VAT) at ages 26-28 years. STUDY DESIGN Prospective study (ages 9-28 years) of cardiometabolic measures, menarche age, menses irregularities, metabolic syndrome, impaired fasting glucose-type 2 diabetes mellitus, and VAT in 400 girls (248 black, 152 white). RESULTS Adolescent (age 14-19) independent variables for greater VAT at ages 26-28 included larger mean waist circumference (partial R(2) = 30.8%), earlier age at menarche (0.9%), and white race (1.8%). Young adult (ages 20-28 years) independent variables for greater VAT included larger mean waist circumference (partial R(2) = 61.7%), greater triglyceride levels (3.3%), lower high-density lipoprotein cholesterol (1.0%), and greater insulin resistance (homeostasis model assessment-estimated insulin resistance; 0.4%). Independent variables for greater VAT when both adolescent and young adult variables were used included waist (tertile rank change from adolescence to young adulthood, partial R(2) = 58.3%), greater young adult triglyceride levels (4.4%), white race (1.8%), greater young adult homeostasis model assessment-estimated insulin resistance (age 20-28, 2.4%), and earlier menarche age (0.7%). Menses irregularities were not independently associated with young adult VAT. CONCLUSIONS Adolescent girls with early menarche and larger waist circumference should be targets for primary prevention of accretion of VAT. In young adulthood, VAT is associated with dysregulated cardiometabolic profiles, which is greater for those with waist circumference increases from adolescence to adulthood. Waist circumference during young adulthood, and to a lesser degree during adolescence, is an inexpensive surrogate for VAT at ages 26-28 years.
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Affiliation(s)
- Charles J Glueck
- Cholesterol Center, Jewish Hospital of Cincinnati, Cincinnati, OH.
| | - Ping Wang
- Cholesterol Center, Jewish Hospital of Cincinnati, Cincinnati, OH
| | - Jessica G Woo
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - John A Morrison
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Philip R Khoury
- The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
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9
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Agapova SE, Cameo T, Sopher AB, Oberfield SE. Diagnosis and challenges of polycystic ovary syndrome in adolescence. Semin Reprod Med 2014; 32:194-201. [PMID: 24715514 DOI: 10.1055/s-0034-1371091] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Although the diagnostic criteria for polycystic ovary syndrome (PCOS) have become less stringent over the years, determination of the minimum diagnostic features in adolescents is still an area of controversy. Of particular concern is that many of the features considered to be diagnostic for PCOS may evolve over time and change during the first few years after menarche. Nonetheless, attempts to define young women who may be at risk for development of PCOS is pertinent since associated morbidity such as obesity, insulin resistance, and dyslipidemia may benefit from early intervention. The relative utility of diagnostic tools such as persistence of anovulatory cycles, hyperandrogenemia, hyperandrogenism (hirsutism, acne, or alopecia), or ovarian findings on ultrasound is not established in adolescents. Some suggest that even using the strictest criteria, the diagnosis of PCOS may not valid in adolescents younger than 18 years. In addition, evidence does not necessarily support that lack of treatment of PCOS in younger adolescents will result in untoward outcomes since features consistent with PCOS often resolve with time. The presented data will help determine if it is possible to establish firm criteria which may be used to reliably diagnose PCOS in adolescents.
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Affiliation(s)
- Sophia E Agapova
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Tamara Cameo
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Aviva B Sopher
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Sharon E Oberfield
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, Department of Pediatrics, Columbia University Medical Center, New York, New York
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10
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Glueck CJ, Morrison JA, Wang P, Woo JG. Early and late menarche are associated with oligomenorrhea and predict metabolic syndrome 26 years later. Metabolism 2013; 62:1597-606. [PMID: 23953892 DOI: 10.1016/j.metabol.2013.07.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Revised: 06/13/2013] [Accepted: 07/16/2013] [Indexed: 12/27/2022]
Abstract
OBJECTIVE We determined whether simple, clinical information on late and early menarche could help identify adult women with metabolic syndrome (MetS) and oligomenorrhea. MATERIALS/METHODS We carried out a 26-year prospective follow-up of 272 suburban schoolgirls from ages 5-22 to 30-46. RESULTS Early menarche (≤10 years, 5.2% of girls) and late menarche (≥16 years, 6.7% of girls) were both associated with oligomenorrhea (≥42 days) in adulthood, 29% and 11%, vs. 5% for normal menarche (11-15 years), p=.004. Early menarche was characterized by high childhood BMI (LS mean±SE: 21.2 ±1.0 kg/m2) and by high childhood and adult MetS (15%, 36%). Girls with late menarche had the lowest childhood BMI (18.1±1.0), no childhood MetS, and the highest adult MetS (47%). Increasing age at menarche was associated with uniformly decreasing childhood BMI and MetS, but with a U-shaped pattern of BMI (p = .05), MetS (p=.008), and oligomenorrhea (p=.02) in adulthood. Change to MetS from median ages 13 to 38 was associated with early-late menarche (OR=3.11, 95% CI 1.37-7.07, p=.007). MetS in adulthood was associated with childhood MetS (OR=8.03, 95% CI 2.57-25.08, p=.0003) and with early-late menarche (OR =3.43, 95% CI 1.44-8.15, p=.005). CONCLUSIONS Menarche age had a curvilinear ('U' shaped) relationship with MetS and oligomenorrhea in adulthood. Late menarche and early menarche are risk factors for adult oligomenorrhea, MetS, and cardiometabolic abnormalities. Girls with early (≤ age 10) and with late menarche (≥ 16) represent a group at high risk for adult cardiometabolic abnormalities and oligomenorrhea that is easily identifiable by physicians.
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Affiliation(s)
- Charles J Glueck
- Cholesterol and Metabolism Center, Jewish Hospital of Cincinnati, Cincinnati Children's Hospital Medical Center.
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Morrison JA, Glueck CJ, Daniels SR, Horn PS, Wang P. Determinants of ApoB, ApoA1, and the ApoB/ApoA1 ratio in healthy schoolgirls, prospectively studied from mean ages 10 to 19 years: the Cincinnati National Growth and Health Study. Metabolism 2012; 61:1377-87. [PMID: 22512822 PMCID: PMC3752903 DOI: 10.1016/j.metabol.2012.02.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2011] [Revised: 02/22/2012] [Accepted: 02/27/2012] [Indexed: 11/22/2022]
Abstract
The objectives were to prospectively assess determinants of apolipoproteins B (ApoB), A1 (ApoA1), and the ApoB/ApoA1 ratio in 797 healthy black and white schoolgirls from mean ages 10 to 19. There was prospective 9-year follow-up, with measures of ApoB at mean ages 10, 12, 14, 16 and 19, ApoA1 at mean ages 12, 14, 16, and 19, and assessment of annual reports of delayed menstrual cyclicity (≥42 days) from ages 14 to 19. Studies of 402 black and 395 white healthy schoolgirls were done in public and private schools, in urban and suburban Cincinnati. Black girls had lower ApoB, higher ApoA1, and lower ApoB/ApoA1. SHBG at age 14 in white and black girls was inversely correlated with the ApoB/ApoA1. At age 19, ≥3 annual reports of menstrual delay ≥42 days and metabolic syndrome were associated with higher ApoB and a higher ApoB/ApoA1 ratio. From ages 14 to 19, BMI and TG were independently positively associated with ApoB. Menstrual cyclicity ≥42 days, metabolic syndrome, BMI, and TG were independently positively associated with ApoB/ApoA1 ratios, while black race was negatively associated. The atherogenic ApoB/ApoA1 ratio from ages 14 to 19 is lower in black girls, and positively associated with hyperandrogenism, menstrual cyclicity ≥42 days, BMI, TG, and the metabolic syndrome, facilitating an adolescent approach to primary prevention of cardiovascular disease.
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Affiliation(s)
- John A. Morrison
- Division of Cardiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Charles J. Glueck
- Cholesterol Center, Jewish Hospital of Cincinnati, Cincinnati, OH, USA
- Corresponding author. Cholesterol Center, UC Health Business Center, 3200 Burnet Avenue, Cincinnati OH, 45229, USA. Tel.: +1 513 924 8261; fax: +1 513 924 8273
| | | | - Paul S. Horn
- Department of Mathematical Sciences, University of Cincinnati, Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Ping Wang
- Cholesterol Center, Jewish Hospital of Cincinnati, Cincinnati, OH, USA
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