Serum anti-Müllerian hormone: A potential biomarker for polycystic ovary syndrome.

BACKGROUND OBJECTIVES: Polycystic ovary syndrome (PCOS) is characterized by chronic ovulatory dysfunction, hyperandrogenism and polycystic ovary morphology (PCOM). Although hyperandrogenism is one of the major features of PCOS, it is rarely observed in southeast Asia. Recently, however, there has been growing evidence on association of anti-Müllerian hormone (AMH) with PCOS. The objective of this study was to investigate the diagnostic potentials of AMH in PCOS individuals. METHODS: This case-control study included a total of 131 women with PCOS and 49 healthy controls who were enrolled after the exclusion of secondary causes of PCOS. Serum AMH was measured using an ultra-sensitive AMH ELISA kit in addition to other diagnostic biomarkers. Statistical analyses was carried out using the Student's t test, Wilcoxon rank-sum test, receiver operating characteristic (ROC) curve analysis, Spearman's rank correlation test and multivariable binary logistic regression analysis. RESULTS: The median AMH values were 8.5 ng/ml and 2.5 ng/ml in the study group and controls, respectively ( P <0.001). The normal cutoff value of 4.1 ng/ml for AMH was derived from ROC curve analysis. With a 4.1 ng/ml cut-off value, high levels of AMH was found in about 84 per cent of PCOS cases. However, no significant difference in AMH level was noted between age groups (<20 vs . ≥20 yr), body mass index (BMI) (<25 vs . ≥25 kg/m 2 ) and PCOM types. The area under the ROC curve (AUC) for AMH yielded diagnostic range values. In total PCOS cases, AUC was 0.93 (95% CI: 0.88 and 0.96), and in phenotype A PCOS cases, AUC was 0.96 (95% CI: 0.91 and 0.98). The correlation test also showed no association with BMI, the FG score, PCOM, free androgen index, androstenedione, dehydroepiandrosterone sulphate and luteinizing hormone. However, a weak correlation was observed with testosterone in total PCOS cases and with DHT as well as age in phenotype A PCOS cases. The prediction model for PCOS using multivariable binary logistic regression analysis showed AMH as the best marker. INTERPRETATION CONCLUSIONS: The results of this study suggest that AMH can be considered as the most promising biomarker in PCOS women, particularly with phenotype A and phenotype D.

Association of raised levels of IL-4 and anti-TPO with hyperprolactinemia.

BACKGROUND AND OBJECTIVE: The modulatory role of prolactin in autoimmune regulation is well established. Hyperprolactinemia is often associated with autoimmune disease like systemic lupus erythematosus and autoimmune thyroid diseases. The objective was to compare levels of direct and indirect autoimmune factors in different categories of hyperprolactinemia cases and predict the direction of association between hyperprolactinemia and autoimmune factors, if any. METHODS: A total of 102 hyperprolactinemia cases (>100 ng/mL serum prolactin level) were included along with 24 controls. Among 102 hyperprolactinemia cases, there were 36 idiopathic cases, 19 pituitary adenoma cases, 36 drug-induced cases, and 11 cases associated with other secondary/systemic diseases (chronic renal failure, chronic hepatic failure, etc). MEASUREMENTS: Direct autoimmune markers, IL-2, IFN-γ, IL-4, and IL-5, were measured in serum by ELISA. Indirect autoimmune markers, anti-TPO, anti-tg, anti-CCP, VDRL, platelet count, and aPTT, were measured as per laboratory-defined protocol. RESULTS: Serum levels of IL-4 and anti-TPO were significantly high in idiopathic hyperprolactinemia cases. Serum IL-4 levels were also significantly high in pituitary adenoma cases, drug-induced cases, and in cases with other secondary causes of hyperprolactinemia. Serum anti-TPO levels were also significantly high in drug-induced hyperprolactinemia cases. CONCLUSION: No significant difference in autoimmune factors is observed between macroprolactinemia and true hyperprolactinemia. Serum IL-4 and anti-TPO were high in all categories of hyperprolactinemia. This suggests a possible association of hyperprolactinemia with autoimmune conditions (high IL-4 and anti-TPO), mostly subclinical. Thus, hyperprolactinemia case with serum prolactin level >100 ng/mL may require long-term follow-up for the development of autoimmune disease in future.

Prevalence and reproductive manifestations of macroprolactinemia.

PURPOSE: Macroprolactinemia is characterized by predominance of macroprolactin molecules in circulation and generally has extra-pituitary origin. Macroprolactin is viewed as biologically inactive, therefore asymptomatic, and thus may not require any treatment or prolonged follow-up. In addition, data on prevalence of macroprolactinemia and its clinical manifestation are also rare. Therefore, the present study was aimed to find out prevalence of macroprolactinemia and its association, if any, with reproductive manifestations. MATERIAL AND METHODS: Macroprolactin was measured in 102 hyperprolactinemia cases (>100 ng/ml prolactin level), 135 physiological hyperprolactinemia cases (50 pregnant and 85 lactating females; >100 ng/ml prolactin level) and 24 controls. Poly ethylene glycol (PEG) precipitation method was carried out to screen macroprolactin. Prolactin recovery of <25% was considered overt macroprolactinemia. Detailed clinical data was recorded which included complete medical history, physical examination and hormone measurements besides CT/MRI for pituitary abnormalities. RESULTS: Prevalence of macroprolactinemia was 21.57% (22/102) in hyperprolactinemia (prolactin >100 ng/ml). There was no case of macroprolactinemia in physiological hyperprolactinemia, or healthy control females. Reproductive manifestations were present in 72.73% (16/22) macroprolactinemia cases, out of which macroprolactinemia was the sole cause of associated reproductive manifestations in 68.7% (11/16) cases. Reversal of reproductive dysfunction/s was observed in five cases with appropriate treatment for high macroprolactin. CONCLUSION: Macroprolactinemia prevalence was found to be 21.5%, out of which 72.73% cases had associated reproductive dysfunctions.

Genomics: Tool to predict and prevent male infertility.

A large number of human diseases arise as a result of genetic abnormalities. With the advent of improved molecular biology techniques, the genetic etiology of male infertility is increasing. The common genetic factors responsible for male infertility are chromosomal abnormalities, Yq microdeletion and cystic fibrosis. These are responsible for approximately 30 percent cases of male infertility. About 40 percent cases of male infertility are categorized as idiopathic. These cases may be associated with genetic and genomic abnormalities. During last few years more and more genes are implicated in male infertility leading to decline in prevalence of idiopathic etiology. In this review we will summarize up to date published works on genetic etiologies of male infertility including our own works. We also briefly describe reproductive technologies used to overcome male infertility, dangers of transmitting genetic disorders to offspring and ways to prevent transmission of genetic disorders during assisted reproduction. At the end we will provide our points on how genomic information can be utilized for prediction and prevention of male infertility in coming years.

SNP Microarray in FISH Negative Clinically Suspected 22q11.2 Microdeletion Syndrome.

The present study evaluated the role of SNP microarray in 101 cases of clinically suspected FISH negative (noninformative/normal) 22q11.2 microdeletion syndrome. SNP microarray was carried out using 300 K HumanCytoSNP-12 BeadChip array or CytoScan 750 K array. SNP microarray identified 8 cases of 22q11.2 microdeletions and/or microduplications in addition to cases of chromosomal abnormalities and other pathogenic/likely pathogenic CNVs. Clinically suspected specific deletions (22q11.2) were detectable in approximately 8% of cases by SNP microarray, mostly from FISH noninformative cases. This study also identified several LOH/AOH loci with known and well-defined UPD (uniparental disomy) disorders. In conclusion, this study suggests more strict clinical criteria for FISH analysis. However, if clinical criteria are few or doubtful, in particular newborn/neonate in intensive care, SNP microarray should be the first screening test to be ordered. FISH is ideal test for detecting mosaicism, screening family members, and prenatal diagnosis in proven families.

High Serum Estradiol and Heavy Metals Responsible for Human Spermiation Defect-A Pilot Study.

INTRODUCTION: Spermiation is a process of releasing sperm into the lumen of seminiferous tubules. Failure in releasing sperm into the lumen is designated as spermiation defect. Spermiation defect cases present as oligo-azoospermia or azoospermia despite normal gonadotropins and testicular histology/cytology. Human spermiation defect never got attention to investigate infertility practice. Most of the information on spermiation defect, so far is from animal experiments. We assume some cases of non-obstructive azoospermia with normal gonadotropins and testicular histology/cytology could be due to spermiation defect. AIM: The aim of the study was to find out the underlying aetiology in cases of human spermiation defect. MATERIALS AND METHODS: A total of 13 cases of spermiation defect and 20 fertile men as control constituted study material. Cases were studied for chromosomal abnormalities by conventional karyotyping, sex chromosome mosaicism by interphase XY FISH, Yq microdeletion by STS PCR, sertoli cell quality (function) and quantity (numbers) by serum Anti-Mullerian Hormone (AMH) and inhibin B besides other hormones like Follicular Stimulating Hormone (FSH), prolactin, testosterone and estradiol. Vitamin A concentration in serum was also measured. Presence of heavy metal was investigated by elemental electron microscopy in seminal cells (eight cases) & by spectrometry in serum as well as seminal plasma. RESULTS: Chromosomal and Yq microdeletion study failed to detect any abnormalities. AMH, inhibin B and vitamin A were also normal. Estradiol level was high in 6 out of 13 cases (46%) while platinum in seminal cells was high in 4 cases (50%). High (four times or more) serum level of lead and nickel was observed in 11 (85%) and 6 (46%) cases, respectively. CONCLUSION: High serum concentration of heavy metals like lead & nickel or high platinum accumulation in seminal cells or high serum estradiol alone or in combinations may be underlying aetiologic factors in human spermiation defect.