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- DOI 10.18231/j.ijcbr.2019.121
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CrossMark
- Citation
Assessment of relationship between hormones and insulin resistance in PCOS
- Author Details:
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Manjula Halevoor Siddarajaiah
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Vijayalakshmi p *
Introduction
PCOS is the most common heterogenous endocrinological disorder of reproductive age and also the leading cause for infertility. Poycystic morphology is consistent with, but not essential for, the diagnosis of the syndrome.[1] These changes, however, can be present in women who are endocrinologically normal. Thus, the ovarian morphological change must be distinguished from the endocrine syndrome of hyperandrogenism and anovulation.[2]
Due to unknown reasons there is increased frequency of GnRH pulses from hypothalamus which elevates LH levels this in turn cause increased androgen production from theca cells of ovary. The increase amplitude and frequency of LH pulses in PCOS leads to increased circulating levels of LH and its significance with FSH levels are significantly increased in PCOS women. Altered LH and FSH are reasons for anovulation.[3]
Androgen excess is contributed by ovary and also adrenals due to multifactorial causes. There is no hormonal test to discriminate between a case of PCOS and normal cycling women. The chronic hyperandrogenic state have multiple long and short term complications which in particular includes DM and CVD along with risk of endometrial cancer.[4] The pathogenesis of PCOS involves HPO axis, ovarian theca cell hyperplasia, hyperinsulinemia and multitude of either cytokines and adipocyte driven factors.[5]
PCOS is associated with increased risk of metabolic dysfunction such as obesity, dyslipidemia, hypertension, IR, infertility.[6] Increased risk for diabetes, its complication, the metabolic dysfunction features are major risk factors for CVD.[7] PCOS imposes several consequences to female health. Insulin resistance can be characterized as impaired action of insulin in the uptake and metabolism of glucose.[8] There is a particular emphasis on its relationship with Insulin Resistance(IR)which increases risk of developing T2DM4. IR with hyperinsulinemia also stimulates excess androgen from theca cells of ovary.[1] Insulin effects on the hypothalamo -pituitary axis and also ovarian tissue.The resultant insulin resistance leads to impaired metabolic signalling but its steroidogenic activity is retained favouring hyperandrogenism which perhaps is the major factor in clinical manifestation of PCOS.[9]
Hyperandrogenism along with hyperinsulinemia are causes for dyslipidemia as well and when it is associated with obesity there is increased risk. Testosterone both free and total are increased with increase in serum androgens. Androgens have source from both adrenals and ovary so however the ovarian source of androgen is indicated by testosterone but DHEA -So4 is used for adrenal production of androgen.[3] Because of the heterogeneity of this disorder a complete understanding of the underlying pathophysiology of PCOS is still lacking, there are most likely multiple underlying pathophysiologic mechanisms. Several theories have been proposed to explain the pathogenesis of PCOS.[10]
Thus in this study we aim ed to estimate LH/FSH ratio, testosterone in PCOS patients and to correlate its significance with the insulin resistance to understand and prevent long term complications like cardiovascular disease, metabolic syndrome and diabetes mellitus in these patients.
Materials and Methods
Study population
This case-control study was conducted for the period of one year in the Department of Biochemistry, Rajarajeswari Medical College and Hospital, Bengaluru, Karnataka, India. The study was approved by the institutional ethical clearance committee. Written informed consent was obtained from all subjects included in the study. Complete medical history was recorded and physical examination of each individual was done.
Inclusion criteria
Clinically, diagnosed 50 PCOS patients attending Obstetrics and Gynecology OPD, aged 1 5 to 35 years were included as cases. Age-matched 50 apparently heal thy women were included as controls.
Exclusion criteria
Women with a history of diabetes mellitus, hypertension, thyroid disorders, any evidence of kidney, liver disease, CAH, Cushings syndrome, adrenal tumors, pregnancy, anemia were excluded.
Fasting venous blood samples (5 mL) were collected from antecubital vein in clot activator tubes and 2ml in fluoride tube while taking all aseptic precautions. The samples were allowed to clot and then centrifuged at 2000 rpm for 10 minutes. The serum was separated and stored at -20°C until further analysis.
Serum LH, FSH, testosterone, serum insulin were analysed by chemiliuminiscence immunoassay (CLIA) on Maglumi 1000. Mindray BS 300, fully automated analyser was used for estimation of serum Lipid profile such as Total cholesterol by CHOD - POD method, HDL by phosphotungstate precipitation, followed by enzymatic method, Triglyceride by GPO method, LDL was calculated using Friedewald’s formula [TC-(HDLc+VLDLc)]. Fasting Blood Glucose (FBG) was estimated by Glucose Oxidase-Peroxidase (GOD-POD) method. Insulin resistance was assessed by HOMA IR, calculated as fasting insulin* FBG/405. Height and weight measured for Body mass index (BMI). Blood samples were drawn randomly irrespective of the menstrual cycle.
Statistical analysis
The data were analysed using descriptive statistics. The results were presented as Mean±SD. Unpaired Student’s t-test (two tailed, independent) was used to analyse the clinical parameters between cases and control group. A p value <0.05 is considered statistically significant. Chi-square/ Fisher Exact test has been used to find the significance of study parameters on categorical scale between two or more groups. Pearson’s correlation coefficient was applied to analyse the correlation between study variables.
Results
LH/FSH Ratio | Cases | Controls | ||
No | % | No | % | |
<1.5 | 23 | 46.0 | 49 | 98.0 |
1.5-2.5 | 19 | 38.0 | 1 | 2.0 |
>2.5 | 8 | 16.0 | 0 | 0.0 |
Total | 50 | 100.0 | 50 | 100.0 |
Testosterone (ng/ml) | Cases | Controls | ||
No | % | No | % | |
<0.5 | 35 | 70.0 | 50 | 100.0 |
0.5-1 | 12 | 24.0 | 0 | 0.0 |
>1 | 3 | 6.0 | 0 | 0.0 |
Total | 50 | 100.0 | 50 | 100.0 |
Cases n=50 (Mean±SD) | Control n=50 (Mean±SD) | P value | |
Age(years) | 28.5±5.2 | 22±4.1 | 0.15 |
FBG(mg/dL) | 91.6±11.9 | 90 ± 11.2 | 0.5 |
FSH (mIU/mL) | 4.6±2.3 | 5.8±3 | 0.02* |
LH (mIU/mL) | 7.8±5.2 | 4.14±1.4 | <0.001* |
LH/FSH ratio | 2.3±4.36 | 0.8±0.26 | 0.01* |
Testosterone (ng/ml) | 0.58±0.92 | 0.13±0.04 | 0.001* |
Insulin(µIU/ml) | 25.9±31.4 | 13.36±6.5 | 0.001* |
HOMA IR | 6±7.4 | 2.9±1.3 | <0.01* |
TC(mg/dL) | 160±34 | 156.4±30.3 | 0.55 |
HDL(mg/dL) | 40.4±7.3 | 48±11.2 | <0.001* |
LDL(mg/dL) | 92.2±27 | 89±30 | 0.57 |
Triglyceride(mg/d) | 157.7±26.4 | 140.3±34.2 | <0.01* |
BMI(kg/m2) | 23.7±3.8 | 25.3±4.6 | 0.06 |
Age | FSH | LH | Testosterone | LH/FSH ratio | TC | HDL | LDL | TG | BMI | ||
HOMA IR | r | 0.21 | -0.08 | 0.45 | 0.01 | 0.42 | 0.31 | -0.01 | 0.18 | 0.16 | 0.43 |
p | 0.14 | 0.58 | <0.01 | 0.9 | <0.01 | 0.02 | 0.9 | 0.21 | 0.26 | <0.01 | |
BMI | r | 0.09 | -0.24 | 0.61 | 0.0 | 0.53 | - | - | - | - | - |
P | 0.53 | 0.09 | <0.01 | 1 | <0.001 | - | - | - | - | - |
In our study the LH/FSH ratio was <1.5 in 46%, 1.5-2.5 in 38% and >2.5 in 16% in cases whereas 98% of controls had <1.5 and none had > 2.5 in controls ([Table 1]). Testosterone levels were <0.5 in 70% and > 0.5 in 30% of cases whereas none of controls had value ≥0.5 ([Table 2]). The age was matched in both the group. (Fasting blood glucose) FBG was 91.6±11.9 in cases and 90 ± 11.2 in controls which was not statistically significant p=0.5. The LH /FSH ratio when taken it was found to be 4.64±14.5 and 0.8±0.26 in cases and controls respectively with p 0.01. Testosterone was 0.58±0.92 and 0.13±0.04 in cases and controls respectively with p 0.0 0 1. HOMA IR was found to be 6±7.4 and 2.9±1.3 in cases and controls which was found statistically significant with P < 0.0 1. Lipid profile such as HDL showed 40.4±7.3 and 48±11.2 (p< 0.001) which was found to be higher in controls compared to cases and Triglyceride 157.7±26.4 and 140.3±34.2 (p< 0.0 1)which was higher in cases compared to controls in our study. However LDL and Total cholesterol w ere 92.2±27 and 160±34 in cases, 89±30 and 156.4±30.3 in controls respectively where we can find that LDL was not statistically significant but still an increased LDL was seen in cases. To see the effect of BMI we compared BMI between the study group and found that the average BMI was within the normal range in cases (23.7±3.8) when compared to controls(25.3±4.6) which was on a higher side p= 0.06 ([Table 3]).
Pearson’s correlation coefficient analysis was used in cases between HOMA IR and BMI with other study variables. FSH showed a negligible negative correlation with HOMA IR and mild negative correlation with BMI. LH showed a positive correlation with both HOMA IR (r 0.45, p<0.01) and BMI(r 0.61, p<0.01). Whereas testosterone showed no correlation. LH/FSH ratio was positively correlated with HOMA IR(r 0.42, p<0.01) and also BMI(r 0.53, p <0.001). TC(r 0.31,p 0.02) showed significant positive correlation whereas LDL(r 0.18,p 0.21), TG(r 0.16,p 0.26) though positive showed negligible correlation with HOMA IR. BMI showed a significant positive correlation with HOMA IR (r 0.43, p <0.01)([Table 4])
Discussion
PCOS is the most common heterogenous gynecological disorder of reproductive age. The diagnostic criteria is not fully understood yet because of its varied pathophysiology and clinical presentation. The altered gonadotropin pulse amplitude is considered the major pathogenic mechanism involved which leads to excess LH in circulation with decreased FSH. The hypothalamic, pituitary and ovarian signals are reflected by the FSH and LH release pattern.[11]
In our study the cases had lower BMI in line with the study by Padnis but however the LH levels were positively correlated with LH in our study as opposed to Padnis et al. Padnis noted that non obese PCOS women had significantly high LH than obese women with PCOS which is contradictory to our findings.[12] Hyperandrogenism is the pre dominent biochemical abnormality in women with PCOS. However, the cause of this hyperandrogenism and its relation to the central clinical component of PCOS, chronic anovulation, are only partly understood.[13] Increased androgen production is associated with elevated LH concentration which is peripherally accentuated with their inefficient aromatization to estrogen. This being related to low FSH levels in PCOS, with local androgen excess and estrogen deficit within ovary. The above features creates a potent androgenic environment for follicle leading to cessation of follicular growth. As there is an inappropriate LH levels there is an elevated testosterone levels.[14] In clinical setup serum total testosterone levels is the most comm on measure for investigation of hyperandrogenism. In our study testosterone levels were high in cases compared to controls and was statistically significant (p= 0.0 0 1)([Table 2])
([Table 1]) In our study the LH/FSH ratio was <1.5 in 46 %, 1.5-2.5 in 36% and >2.5 in 18% in cases whereas 98% of controls had <1.5 and none had > 2.5 in controls. Eissas et al concluded in their stud y that, polycystic ovary syndrome (PCOS) is characterized by increased frequency of hypothalamic GnRH pulses leading to a relative increase in LH synthesis by the pituitary.[15] Women with PCOS have higher GnRH, which in turn results in an increase in LH/FSH ratio.[16] Their results revealed significant increase in serum LH and significant decrease in FSH/LH ratio. The LH/FSH ratio was statistically significant and high in cases(p 0.01)([Table 3]) in our study similar to the above study. We further did correlation between LH/FSH ratio and found LH/FSH ratio was positively correlated with HOMA IR(r 0.42, p<0.01) and also BMI(r 0.53, p <0.001)([Table 4]).
On the other hand, Cho LW et al found that, LH/FSH ratio did not differ significantly between the PCOS cases and non affected group.[17]
Khalifa et al showed in his studies that there was a significant raise in LH/FSH ratio with increasing weight in PCOS patients. Similarly in our study we found a correlation between BMI and LH/FSH ratio in PCOS subjects.[3]
Insulin is also shown to increase gonadotropin secretion and decreases hepatic synthesis and secretion of SHBG so there is increased free testosterone. The increased ovarian enzymatic activity in synthesis of testosterone precursors are also found.[18] Thus increased insulin and IR are considered to be another key factors for this syndrome. Hence we can presume that hypothalamic dysfunction and IR are factors functioning independently for metabolic dysfunction of PCOS.[12]
The mechanism linking PCOS and increased cardiovascular risk profile are not well understood. Nevertheless IR and hyperinsulinemia increases the risk for cardiovascular diseases along with which the hyperandrogenemia could contributes to vascular damage and endothelial dysfunction in women.[19],[20] The insulin regulatory molecules on the theca cells are responsive to insulin, whereas in the muscle and liver it shows resistance.[21] Thus, the metabolic disorders associated with PCOS along with their long-term sequelae have to be closely evaluated in both lean and obese PCOS patients.[22] In our study HOMA IR was used to analyse the insulin resistance and we found an increased and statistically significant HOMA IR in cases compared to controls. On correlation study of HOMA IR with other biochemical parameters it was found that HOMA IR had correlation with LH and LH/FSH ratio but with FSH it showed negligible negative correlation and with testosterone no correlation. Study by Chan Hong found no significant correlations between the serum LH/FSH ratio and biochemical parameters related to insulin resistance.[23] Metabolic disturbances, viz. impaired GTT, abnormal lipid profile, higher fasting/2-hour insulin levels, and higher insulin resistance, are also witnessed in the PCOS patients.[8] Presence of obesity makes these patients susceptible to deranged lipid profile, a greater degree of insulin resistance.[24]
However, most women with PCOS also have a metabolic abnormality that includes increased levels of low density lipoprotein cholesterol, reduced levels of high- density lipoprotein cholesterol and hypertriglyceridemia, which together are thought to increase the risk for metabolic derrangemnets like car diovascular disease, and type 2 diabetes mellitus with age.[13] There was a deranged lipid profile in our cases with decreased HDL and increased Triglycerides though in our case the BMI was predominantly within range but their correlation with HOMA IR did not show any significance except for Total cholesterol which showed a positive correlation with HOMA IR. This syndrome, a complex disorder with multiple components, including reproductive, metabolic, and cardiovascular manifestations, has long-term health issues which is now well recognized.[18] Considering the increasing rate of patients with PCOS in modern societies, the importance of studying the effect of endocrine disorders is essential to understand their associated risk for CVD and T2DM which can be followed up for a better outcome.
Conclusion
PCOS is much more than just oligomenorrhea, infertility. It encompasses long term health problems like CVD, DM and increased exposure to estrogen can lead to endometrial carcinoma. We must limit complications of PCOS, although not well understood IR seems to underlie many clinical features of PCOS.IR increase risk for T2DM and dyslipidemia. It is imperative that we act to prevent the consequences of this syndrome by indentifying and following the case.
Limitations
The study was done on a small sample group. A larger prospective study group would be required to ascertain the effect of BMI and IR for future risk. Blood samples were drawn randomly and only one sample taken throughout the menstrual cycle.
Source of funding
None.
Conflict of interest
None
References
- C Collet, P Lecomte, D Guilloteau, B Lejeune, C Lecomte, J Besnard. Luteinizing hormone measurement in polycystic ovary syndrome: a practical approach. Eur J Endocrinol 1999. [Google Scholar]
- K E Sharquie, A Al Bayatti, A I Al Ajeel, A J Al Bahar, A A Al Nuaimy. Luteinizing hormone/follicle stimulating hormone ratio and pelvic sosnography in relation to skin manifestations in patients with polycystic ovary syndrome. Saudi Med J 2007. [Google Scholar]
- A H Alnakash, N K Al-Tae'e. Polycystic ovarian syndrome: the correlation between the LH/FSH ratio and disease manifestations. Middle East Fertil Soc J 2007. [Google Scholar]
- L Speroff, R Glass, N G Kase. Anovulation and the polycystic ovary. Clinical Gynecologic Endocrinology and Infertility, Fifth Edition 1994. [Google Scholar]
- M Pannill. Polycystic Ovary Syndrome: An Overview.Topics in Advanced Practice Nursing e Journal. 2002. [Google Scholar]
- L W Cho, V Jayagopal, E S Kilpatrick, S Holding, S L Atkin. The LH/FSH ratio has little use in diagnosing polycystic ovarian syndrome. Ann Clin Biochem 2006. [Google Scholar]
- S Rasool, L R Dar, A Hameed. Prevalence of polycystic ovaries among patients with hirsutism and menstrual abnormalities. J Pak Ass Dermatol 2011. [Google Scholar]
- D Lizneva, R Kirubakaran, K Mykhalchenko, L Suturina, G Chernukha, M P Diamond. Phenotypes and body mass in women with polycystic ovary syndrome identified in referral versusun selected populations: systematic review and meta-analysis. Reprod Endocrinol 2016. [Google Scholar]
- F R Tehrani, H Rashidi, M B Khomami, M Tohidi, F Azizi. The prevalence of metabolic disorders in various phenotypes of polycystic ovary syndrome: a community based study in Southwest of Iran. Reprod Biol Endocrinol 2014. [Google Scholar]
- J Rojas, M Chvez, L Olivar, M Rojas, J Morillo, J Mejas. Polycystic Ovary Syndrome, Insulin Resistance, and Obesity: Navigating the Pathophysiologic Labyrinth. Int J Reprod Med 2014. [Google Scholar]
- T Tsilchorozidou, C Overton, G S Conway. The pathophysiology of polycystic ovary syndrome. Clin Endocrinol 2004. [Google Scholar]
- C Ioan, N Costin, D Mihu. Lipid parameters inpatients with polycystic ovary syndrome. Appl Med Inform 2012. [Google Scholar]
- D Panidis, D Farmakiotis, D Rousso, I Katsikis, A Kourtis, E Kandarakis. Serum luteinizing hormone levels are markedly increased and significantly correlated with 4-androstenedione levels in lean women with polycysticovary syndrome. Am Soc Reprod Med 2005. [Google Scholar]
- S J Winters, E Talbott, D S Guzick, J Zborowski, V K P Mchugh. Serum testosterone levels decrease inmiddle age in women with the polycystic ovary syndrome. Fertil Steril 2000. [Google Scholar]
- D Shanmugham, R K Vidhyalakshmi, H Shivamurthy. The effect of baseline serum luteinizing hormone levels on follicular development, ovulation, conception and pregnancy outcome in infertilepatients with polycystic ovarian syndrome. Int J Reprod Contracept Obstet Gynecol 2018. [Google Scholar]
- S S Eissa, N A El-Ghaffar Mohammed, H A Mohammed, R M Elbelbasy, L A Ahmed. Serum Asymmetric Dimethylarginine and Insulin Resistance in Polycystic Ovary Syndrome. J Appl Sci Res 2013. [Google Scholar]
- K C Lewandowski, A Cajdler-uba, I Salata, M Biekiewicz, A Lewiski. The utility of the gonadotrophin releasing hormone (GnRH) test in the diagnosis of polycystic ovary syndrome (PCOS). Pol J Endocrinol 2011. [Google Scholar]
- J King. Polycystic ovary syndrome. J Midwifery Womens Health 2006. [Google Scholar]
- D Heutling, H Schulz, I Nickel, J Kleinstein, P Kaltwasser, S Westphal. Asymmetrical Dimethylarginine, Inflammatory and Metabolic Parameters in Women with Polycystic Ovary Syndrome before and after Metformin Treatment. J Clin Endocrinol Metab 2008. [Google Scholar]
- I R Ilie, C E Pepene, I Marian, T Mocan, G Hazi, C Drăgotoiu. The polycystic ovary syndrome (pcos) status and cardiovascular risk in young women. Cent Eur J Med 2010. [Google Scholar]
- R J Norman, R Wu, M T Stankiewicz. Polycystic ovary syndrome. MJA Pract Essentials 2004. [Google Scholar]
- P Saxena, A Prakash, A Nigam, A Mishra. Polycystic ovary syndrome: Is obesity a sinequa non? A clinical, hormonal, and metabolic assessment in relation to body mass index. Indian J Endocrinol Metab 2012. [Google Scholar]
- C H Park, S Chun. Association between serum gonadotropin leveland insulin resistance-related parameters in Koreanwomen with polycystic ovary syndrome. Obstet Gynecol Sci 2016. [Google Scholar]
- C N Wijeyaratne, A Seneviratne Rde, S Dahanayake, V Kumarapeli, E Palipane, N Kuruppu. Phenotype and metabolic profile of South Asian women with polycystic ovary syndrome (PCOS): Results of a large database from a specialist Endocrine Clinic. Hum Reprod 2011. [Google Scholar]