Metabolic effects of polycystic ovary syndrome in adolescents

Article information

Ann Pediatr Endocrinol Metab. 2015;20(3):136-142
Publication date (electronic) : 2015 September 30
doi : https://doi.org/10.6065/apem.2015.20.3.136
1Department of Pediatrics, Ewha Womans University School of Medicine, Seoul, Korea.
2Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Address for correspondence: Hae Soon Kim, MD, PhD. Department of Pediatrics, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul 07985, Korea. Tel: +82-2-2650-5569, Fax: +82-2-2653-3718, hyesk@ewha.ac.kr
Received 2015 July 07; Revised 2015 August 19; Accepted 2015 September 21.

Abstract

Purpose

Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenic anovulation in women of reproductive age. We investigated the metabolic effects of lean and overweight adolescents with PCOS.

Methods

Anthropometric measurements and biochemical parameters were evaluated in 49 adolescents with PCOS and 40 age- and body mass index (BMI)-matched controls. We further divided both PCOS and control groups into those having BMI within the normal range of less than 85th percentile and those being overweight and obese with a BMI greater than 85th percentile.

Results

Hemoglobin, gamma-glutamyl transferase (r-GT), total cholesterol, low-density lipoprotein-cholesterol and 2-hour postglucose load plasma insulin levels were significantly elevated in the lean PCOS group than in the lean control group. In the overweight/obese PCOS group, hemoglobin and r-GT levels were significantly elevated than in the overweight/obese control group. In the normal weight group, none of the subjects had metabolic syndrome according to the Adult Treatment Panel III criteria, but the incidence of metabolic syndrome in the overweight/obese PCOS group was 8.3% and that in the overweight/obese control group was 6.7%.

Conclusion

PCOS in adolescents causes metabolic abnormalities, underscoring the importance of early diagnosis of PCOS in oligomenorrheic adolescents.

Introduction

Polycystic ovarian syndrome (PCOS) is one of the common endocrine disorders amongst women of reproductive age, with a prevalence of 5%-10%1). The prevalence of PCOS in college students from Seoul, Korea was 4.9%2). PCOS is diagnosed in women in whom 2 years have passed since menarche and if she meets the criteria of the 1990 National Institute of Child Health and Human Development (NICHD) conference guideline for hyperandrogenemia with oligo-ovulation (less than 9 menstrual cycles per year) and exclusion of other known disorders such as congenital adrenal hyperplasia or Cushing's syndrome3). The 2003 Rotterdam European Society for Human Reproduction and Embryology diagnostic criteria of PCOS consist of the occurrence of two of the following three features: (1) chronic anovulation, (2) clinical or biochemical signs of hyperandrogenism, and (3) ultrasound results indicating polycystic ovaries4).

Insulin resistance, elevated luteinizing hormone-follicle-stimulating hormone ratio, abdominal obesity, and infertility are also common in women diagnosed with PCOS. Insulin resistance plays a key role in the occurrence of metabolic syndrome, and hyperandrogenemia is an important risk factor for metabolic syndrome in PCOS patients5). Glueck et al.6) reported that 46% of the women with PCOS had metabolic syndrome. PCOS shares many clinical features with metabolic syndrome, including insulin resistance, obesity, type 2 diabetes mellitus (DM), hyperlipidemia, and hypertension. Among these characteristics, obesity is one of the most common features in women with PCOS. Approximately 50% of women with PCOS are overweight or obese7). Obesity is thought to be an independent risk factor of impaired glucose tolerance or type 2 DM8). However, Manco et al.9) reported that women with PCOS had high levels of insulin resistance in both normal and overweight/obese PCOS patients. There are few studies on the metabolic abnormalities in adolescents with PCOS.

The aim of our study was to investigate metabolic abnormalities among adolescents with PCOS.

Materials and methods

The volunteers included healthy adolescents, who were high school students, having irregular menstruation and were recruited via a survey between December 2008 and October 2010. This study was performed at the Endocrinology and Gynecology Clinics at Ewha Womans University Hospital in Seoul, Korea. A trained nurse contacted eligible candidates by telephone to determine whether they were both capable and willing to participate in the study. After excluding those who did not meet the eligibility criteria, we invited volunteers to visit our hospital in the morning of the third day of their menstrual period following an overnight fast for at least 8 hours. We conducted physical examinations of 49 PCOS students and 40 control students between the ages of 16 and 18 years.

Students were diagnosed with PCOS if it had been 2 years since their menarche and if they met the criteria of the 1990 NICHD conference guideline, i.e., hyperandrogenemia with oligo-ovulation (less than 9 menstrual cycles per year), and exclusion of other known disorders, such as congenital adrenal hyperplasia or Cushing's syndrome. Women with abnormal thyroid-stimulating hormone (<0.3 or >5.0 mIU/L) or prolactin levels (>25 µg/L) were excluded. Biochemical hyperandrogenemia is defined as a total testosterone level above the 95th percentile (total testosterone≥67 ng/dL) based on the testosterone levels in 1,120 healthy women with regular menstrual cycles10). Clinical hyperandrogenism is defined as hirsutism with a modified Ferriman-Gallwey (mFG) score11).

After overnight fasting at least for 8 hours, fasting blood test, hormonal profiling and ovarian ultrasonography were performed in the early follicular phase. Testosterone levels were measured by a chemiluminescent immunoassay using a commercial kit (Siemens, New York, NY, USA). Fasting plasma glucose (FPG) level was analyzed using the glucose oxidase method (Beckman Instruments, Fullerton, CA, USA), and 2-hour postglucose load plasma glucose (2h-PG) levels were obtained using a standard 75-g oral glucose tolerance test. Fasting plasma insulin (FPI) and 2-hour postglucose load plasma insulin (2h-PI) concentrations were measured by radioimmunoassay using a commercial kit (Diagnostic Products Corp., Los Angeles, CA, USA).

Anthropometric measurements and body composition analyses were performed, and both systolic and diastolic blood pressures were measured twice using a sphygmomanometry, following a 10-minute rest, and mean values were recorded.

The control group consisted of students who had normal menstrual cycles as well as similar body mass indexes (BMIs) and age as the PCOS group. Then, we further divided the two groups into those having within normal BMI of less than 85th percentile for sex and age and those being overweight and obese with a BMI greater than 85th percentile for sex and age.

The diagnosis of metabolic syndrome was made when more than 3 of the following risk factors were present: waist circumference, >80 cm; systolic blood pressure, 130 mmHg; or diastolic blood pressure, 85 mmHg; and levels of fasting glucose, 110 mg/dL; fasting triglycerides, 150 mg/dL; and high-density lipoprotein (HDL)-cholesterol, <50 mg/dL, according to the National Cholesterol Education Program Adult Treatment Panel III (ATP III) criteria12).

This study was approved by the Institutional Review Board of Ewha Womans University, Mokdong Hospital. Informed consent was obtained from a legal guardian of each subject less than 18 years old.

Data analyses were performed using SPSS ver. 16.0 (SPSS Inc., Chicago, IL, USA). All data were expressed as the mean±standard deviation. All P-values were two-tailed, and statistical significance was defined as P<0.05.

Results

1. PCOS characteristics and anthropometric measurements

The frequency of menstruation was 5.3±2.4 times per year in the PCOS group and 10.0±0 times per year in the control group. The mean Ferriman-Gallwey score was 1.78±2.9 in the PCOS group and 0.8±1.3 in the control group. The testosterone level was significantly higher in the PCOS group than in the control group. The incidence rate of polycystic ovary in the PCOS group was 75.5%. There was no significant difference in birth weight, age at menarche, BMI, fat mass, and fat percent between the PCOS and control groups (Table 1). There were no significant differences in weight, height, BMI, waist circumference, systolic and diastolic blood pressures, fat mass, and fat percentage between PCOS and control groups in each of their corresponding lean, overweight/obese groups (Table 2).

Characteristics and anthropometric measurements of the PCOS and control groups

Comparison of anthropometric measurements among PCOS patients and controls in the lean and overweight/obese group

2. Comparison of laboratory findings between PCOS and control in lean and overweight/obese group

Levels of hemoglobin, total cholesterol, low-density lipoprotein (LDL)-cholesterol, gamma-glutamyl transferase (r-GT), and 2h-PI were significantly elevated in the lean PCOS group than in the lean control group. FPG, FPI, 2h-PG, fasting glucose/insulin ratio and homeostatic model assessment-insulin resistance were not significantly different between the lean PCOS and control groups (Fig. 1). As for the overweight/obese PCOS group, hemoglobin and r-GT levels were significantly elevated in the PCOS group compared to those in the overweight/obese control group (Table 3).

Fig. 1

Comparison of fasting plasma insulin (FPI) and 2-hour postglucose load plasma insulin (2h-PI). 2h-PI was significantly elevated in the lean polycystic ovary syndrome (PCOS) group than in the lean control group. *P<0.05.

Laboratory findings of women with PCOS and controls in the lean and overweight/obese group

According to the ATP III criteria, there were no cases of metabolic syndrome in the lean PCOS and lean control groups. In the overweight/obese group, the incidence rates of metabolic syndrome in the PCOS and control groups were 8.3% and 6.7%, respectively, and there was no significant difference between the two groups (Table 4).

The number of metabolic syndrome component according to the ATP III criteria

Discussion

PCOS is a complex metabolic disorder and it is increasingly recognized in the young women. Women diagnosed with PCOS have significant insulin resistance, compensatory hyperinsulinemia, impaired glucose tolerance, dyslipidemia, and metabolic syndrome1314). They also have elevated insulin resistance compared to BMI-matched controls. Grulet et al.15) reported that PCOS is associated with a significant decrease of insulin sensitivity and was an independent factor of obesity. In our adolescent study, 2h-PI level was significantly elevated in the lean PCOS group compared to the lean control group. Therefore, PCOS can be an independent risk factor for insulin resistance regardless of obesity. Manco et al.9) reported that PCOS patients with normal glucose tolerance are more insulin resistant than controls, and their insulin secretion increases to maintain normal glucose level. Our study showed similar results in that our lean PCOS group was not significantly different in the fasting glucose level and 2h-PG level compared to the lean control group. However, in the lean PCOS group, 2h-PI level was higher than that of the lean control group.

Insulin resistance appears to be related to excessive serine phosphorylation of the insulin receptor, and it is thought to modulate the activity of the key regulatory enzyme of androgen biosynthesis, P450c1716). Wild et al.17) reported that dyslipidemia is probably secondary to insulin resistance because insulin is a major regulator of cholesterol production, and hyperandrogenism may affect lipoproteins and lipids independently of insulin levels and body weight. Coviello et al.5) reported that hyperandrogenemia is an important risk factor for metabolic syndrome in women with PCOS in addition to obesity and insulin resistance. The interaction between insulin resistance, dyslipidemia, and hyperandgrogenism in PCOS makes a vicious cycle, and highlights the timely diagnosis and treatment of PCOS18).

Various types of dyslipidemia in adolescent PCOS have been described in many studies, and most studies have reported decreased HDL cholesterol level and increased triglyceride level19). In our study, the lean PCOS group had significantly higher total cholesterol, LDL-cholesterol compared to lean control group. However, both HDL-cholesterol and triglyceride levels were not significantly different between the lean groups of both PCOS and control groups. Like our study, some other studies reported no difference in triglyceride levels between PCOS and weight-matched controls similar to our study findings2021). Dejager et al.20) detected a negative correlation between LDL particle size and triglyceride level, and suggested that triglyceride was the major determinant of LDL particle size. In addition, other abnormalities, except those in triglyceride, may be primarily responsible for the shift towards smaller LDL particles in women with PCOS. Legro et al.22) reported that total cholesterol and LDL-cholesterol levels are significantly higher in women with PCOS than in controls, but the differences in terms of triglyceride levels were eliminated after adjustment for life style factors like smoking, age, and alcohol use. Testosterone did not have a significant effect on triglyceride levels, but circulating androgen levels and no other lipids were associated with triglyceride levels among women with PCOS23). This might have been due to the peripheral conversion of androgens to estrogen or the hyperinsulinemia-mediated-increase in estrogen levels2425).

r-GT levels are usually increased in patients with liver disease, and a good predictor for metabolic syndrome and cardiovascular risk. In PCOS women, r-GT in the upper range is a strong independent biomarker for the metabolic syndrome26). In our study, the r-GT levels of PCOS groups were significantly elevated than those of the control groups, both in the lean and overweight/obese groups. Although they were in the reference range, this elevation might suggest the possibilites of metabolic derangement in the PCOS groups.

In our study, hemoglobin levels were significantly elevated in both lean and overweight/obese PCOS groups compared to those in the control groups. Many studies evaluate the hematologic effect on PCOS and positive correlations between iron status parameters and serum testosterone, prolactin, and insulin in PCOS women are reported2728). Hormone levels in PCOS women affect hemoglobin levels. Testosterone is a hematopoietic hormone and has a dose-dependent stimulatory effect on erythropoiesis2930). And androgen affects bone marrow cells via androgen receptor in the bone marrow31). Also, reduced frequency of menstruation in PCOS group is thought to cause the differences of hemoglobin level between PCOS and control groups. Menstruation throughout adolescent years increases the risk for iron deficiency anemia in females3233). Our result also shows significant differences in testosterone levels and menstruation frequency, so these differences seems to have resulted in significant elevation in hemoglobin levels in PCOS group.

This study showed that the adolescents with PCOS had significantly higher total cholesterol, LDL-cholesterol compared to those in the control group. Even though levels of fasting glucose and oral glucose loading glucose were similar, 2h-PI levels were differed significantly between the PCOS and control groups. Therefore, this study suggests that PCOS influences metabolic abnormalities even in adolescents. However, the metabolic derangements between PCOS and control groups in overweight/obese group were not significantly distinct. In this study, the overall prevalence of metabolic syndrome was 8.3% in overweight/obese PCOS women and 6.7% in overweight/obese control subjects. We suspected that both obesity and PCOS are associated with unfavorable lipid profiles and increased insulin resistance rendering the effects on PCOS indiscriminately3435). And this value was much lower than that in Korean adults with PCOS (14%-18%)3637). We think that PCOS is a metabolic disorder that begins to emerge since pubertal onset, so perhaps because our adolescents were in the early stages of PCOS, and the prevalence of metabolic syndrome was lower than that in adults with PCOS.

A limitation of our study is that we had small sample size. We tried to control for the BMI values that have similar effects on insulin resistance with PCOS subjects, resulting in small group sizes. Therefore, this made it hard to prove the significant difference between PCOS and control in the overweight/obese group. Further studies will be needed to include larger groups of adolescents with PCOS to measure lipid profiles and hormonal factors with controlled life style factors3839).

Establishing a diagnosis of PCOS in adolescents is not simple because features of PCOS overlap normal pubertal physiological events. After menarche during normal puberty, acne, irregular menstruation, and PCOS morphology is common so it is not specific in adolescent with PCOS40). In this study we used National Institutes of Health criteria for the diagnosis of PCOS because adolescents without hyperandrogenemia or with normal menstrual cycle could be diagnosed as PCOS when using Rotterdam criteria. However, early detection and treatment of PCOS are important because PCOS is thought to increase metabolic and cardiovascular risks and is known to be associated with reproductive morbidity and increased risk for endometrial cancer. Therefore, pediatricians should be aware of early and precise diagnosis of PCOS in the adolescent girls who show oligomenorrheia oligomenorrhea since menarche.

In conclusion, we found that adolescent PCOS patients showed metabolic derangement, underscoring the importance of early diagnosis of PCOS in oligomenorrheic adolescents.

Notes

Conflict of interest: No potential conflict of interest relevant to this article was reported.

References

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Article information Continued

Fig. 1

Comparison of fasting plasma insulin (FPI) and 2-hour postglucose load plasma insulin (2h-PI). 2h-PI was significantly elevated in the lean polycystic ovary syndrome (PCOS) group than in the lean control group. *P<0.05.

Table 1.

Characteristics and anthropometric measurements of the PCOS and control groups

Characteristic PCOS (n=49) Control (n=40) P-value
Age (yr) 17.1±0.7 16.9±0.6 0.150
Frequency of menstruation per year 5.3±2.4 (time) 10.0±0 0.000
FG score 1.78±2.9 0.8±1.3 0.051
PCOMa) (%) 75.5 0 0.000
Testosterone (ng/dL) 76.5±1.97 43.0±14.1 0.002
Birth weight (kg) 3.1±0.6 3.0±0.4 0.955
Age at Menarche (yr) 12.6±1.6 12.6±1.1 0.860
Body mass index (kg/m2) 22.9±2.5 22.1±2.9 0.199
Fat mass (kg) 20.8±5.5 20.3±6.2 0.701
Fat % 34.6±5.5 34.5±6.0 0.929

Values are presented as mean±standard deviation unless otherwise indicated.

PCOS, polycystic ovary syndrome; FG score, Ferriman-Gallwey score.

a)

PCOM, PCOS morphology: ultrasound results indicating polycystic ovaries according to the European Society for Human Reproduction and Embryology consensus

Table 2.

Comparison of anthropometric measurements among PCOS patients and controls in the lean and overweight/obese group

Variable Lean group
Overweight/obese group
PCOS (n=25) Control (n=25) P-value PCOS (n=24) Control (n=15) P-value
Weight (kg) 53.4±4.6 53.2±6.0 0.890 65.5±6.3 65.4±8.6 0.945
Height (cm) 160.2±4.6 161.6±4.9 0.322 161.5±4.8 161.4±5.76 0.352
Body mass index (kg/m2) 20.8±1.1 20.4±1.9 0.325 25.1±1.5 25.1±1.9 0.962
Waist circumference (cm) 70.8±3.9 70.8±6.5 1.000 81.8±5.5 82.3±7.6 0.802
SBP (mmHg) 108.4±8.8 106.8±6.7 0.437 109.5±10.1 115.3±8.1 0.070
DBP (mmHg) 69.8±3.2 67.6±6.1 0.266 81.8±5.5 82.3±8.6 0.210
Fat mass (kg) 16.8±3.2 16.8±3.9 0.981 25.0±4.2 26.2±4.5 0.387
Fat % 31.4±4.4 31.2±4.6 0.913 37.9±4.3 39.9±3.8 0.159

Values are presented as mean±standard deviation.

PCOS, polycystic ovary syndrome; SBP, systolic blood pressure; DBP, diastolic blood pressure.

Table 3.

Laboratory findings of women with PCOS and controls in the lean and overweight/obese group

Variable Lean group
Overweight/obese group
PCOS Control P-value PCOS Control P-value
Hb (g/dL) 13.4±0.7 12.1±0.9 0.031 13.0±0.9 12.4±0.9 0.042
AST (IU/L) 20.4±5.0 18.7±3.4 0.164 20.3±2.7 20.5±3.8 0.868
ALT (IU/L) 16.0±9.9 13.6±3.7 0.249 20.5±9.8 18.2±7.1 0.437
TC (mg/dL) 177.6±23.9 162.2±25.1 0.032 174.7±23.0 168.3±20.6 0.382
TG (mg/dL) 87.9±33.5 80.0±34.2 0.458 104.7±51.9 111.9±57.7 0.688
HDL (mg/dL) 51.3±10.0 50.6±12.9 0.817 47.1±10.8 43.1±9.2 0.242
LDL (mg/dL) 108.7±19.2 95.5±19.8 0.021 106.7±18.7 102.8±17.4 0.520
r-GT (IU/L) 12.1±1.9 9.15±2.6 0.001 14.1±6.7 9.7±3.2 0.024
FPG (mg/dL) 86.9±8.1 88.3±7.3 0.670 86.4±7.1 85.2±7.4 0.622
2h-PG (mg/dL) 102.3±18.9 94.0±16.5 0.106 108.5±21.5 98.6±22.2 0.174
FPI (μIU/mL) 5.6±3.5 4.8±3.3 0.511 11.4±7.2 8.6±6.3 0.324
2h-PI (μIU/mL) 55.6±32.3 34.2±18.1 0.022 96.8±71.0 60.2±46.9 0.166
Fasting GIR 21.7±22.1 31.9±49.1 0.397 11.1±7.7 20.4±26.3 0.314
HOMA-IR 1.2±0.7 1.13±0.6 0.558 2.45±1.6 1.83±1.32 0.205

Values are presented as mean±standard deviation.

PCOS, polycystic ovary syndrome; Hb, hemoglobin; AST, aspartate aminotransferase; ALT, alanine transaminase; TC, total cholesterol; TG, triglyceride; HDL, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; r-GT, gamma-glutamyl transpeptidase; FPG, fasting plasma glucose; 2h-PG, 2-hour post glucose load plasma glucose; FPI, fasting plasma insulin; 2h-PI, 2-hour postglucose load plasma insulin; Fasting GIR, fasting glucose insulin ratio; HOMA-IR, homeostasis model assessment index for insulin resistance.

Table 4.

The number of metabolic syndrome component according to the ATP III criteria

Number Lean group
Overweight/obese group
PCOS (n=25) Control (n=25) PCOS (n=24) Control (n=15)
0 13 (52.0) 16 (64.0) 14 (58.3) 4 (26.7)
1 7 (28.0) 6 (24.0) 4 (16.7) 6 (40.0)
2 5 (20.0) 3 (12.0) 4 (16.7) 4 (26.7)
3 0 (0) 0 (0) 1 (4.2) 1 (6.7)
4 0 (0) 0 (0) 1 (4.2) 0 (0)
MSa) 0 (0) 0 (0) 2 (8.3) 1 (6.7)

Values are presented as number (%).

PCOS, polycystic ovary syndrome; ATP, Adult Treatment Panel.

a)

MS: metabolic syndrome, defined as the presence of at least three of the ATP III criteria.