Pituitary gonadotrophic hormone synthesis, secretion, subunit gene expression and cell structure in normal and follicle-stimulating hormone β knockout, follicle-stimulating hormone receptor knockout, luteinising hormone receptor knockout, hypogonadal and ovariectomised female mice

Investigation of the Association of Serum Trace Elements Concentrations and Serum Biochemical Parameters with the Risk of Polycystic Ovary Syndrome: a Case-Control Study

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrinological syndrome characterized by hyperandrogenism of ovarian origin and is often considered a predisposing factor for metabolic disorders. The objective of the study was to investigate serum levels of (a) trace elements (copper (Cu), zinc (Zn), magnesium (Mg), selenium (Se), iron (Fe), chromium (Cr), and manganese (Mn)); and (b) biochemical parameters (glucose, cholesterol, triglycerides, high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), albumin, total protein, creatinine, and C-reactive protein (CRP) with risk of PCOS. Another objective was to explore the relationship between serum trace elements and biochemical variables. Serum trace elements were estimated by inductively coupled plasma mass spectrometry (ICP-MS) and biochemical parameters were estimated by colorimetric methods in 99 PCOS cases and 82 controls. Linear and non-linear associations of serum variables with PCOS risk were studied under logistic, probit, GAM, and BKMR model. Statistical analyses were performed using IBM SPSS 22.0 and R package version 4.2.1. All studied serum trace elements (except Zn) are significantly associated with PCOS. Combined effect analysis revealed Mg-Se and Fe-Cu association with PCOS risk. A significant association of cholesterol, HDL-C, LDL-C, CRP, and albumin was observed. Furthermore, linear regression analysis suggests an association between Mg-Cu and Mg-Fe-Mn with HDL-C; Fe and Cr-Cu with albumin; and Cu-Se with cholesterol and LDL-C both.

Genetics of Polycystic Ovary Syndrome: What is New?

Polycystic ovary syndrome (PCOS) is a complex genetic disorder with many genetic loci contributing small risk. Large genome-wide association studies identified 21 genetic risk loci for PCOS in European and Han Chinese women. The genetic architecture is similar across PCOS diagnostic categories. The next wave of analysis will incorporate large genotyped datasets linked to medical records, increasing numbers and ethnic subsets. The resulting genetic risk loci can then be used to create robust genetic risk scores enhanced with clinical information, environment and lifestyle data for a precision medicine approach to PCOS diagnosis and treatment.

Alu-repeat polymorphism in the tissue plasminogen activator (t-PA) gene, seminal t-PA concentration, and male fertility impairment: A case-control study

Background

Tissue plasminogen activator (t-PA) is a protein involved in the fibrinolytic system that catalyzes the conversion of plasminogen into the active plasmin. The activity of t-PA is controlled by plasminogen activator inhibitor-1. t-PA has crucial functions during spermatogenesis. One polymorphism was reported for t-PA gene, either the presence of a 300-bp Alu-repeat (Alu + ) or its absence (Alu - ).

Objective

The current work aimed at studying the association between Alu polymorphism in the t-PA gene and male infertility.

Materials and Methods

Using polymerase chain reaction on genomic DNA isolated from the blood of 79 participants, a region polymorphic for Alu element insertion in t-PA gene was amplified. In addition, total t-PA concentration, plasminogen activator inhibitor-1 /t-PA complex concentration, and t-PA activity in seminal plasma were measured by enzyme-linked immunosorbent assay.

Results

The results indicate that the percentage of infertile participants (n = 50) who were homozygous for t-PA Alu insertion (Alu + / + ), heterozygous Alu + / - or homozygous for t-PA Alu deletion (Alu - / - ) did not change significantly (p = 0.43, 0.81, and 0.85, respectively) when compared with the control participants (n = 29). On the other hand, a significant decrease (p = 0.0001) of t-PA total concentration in seminal plasma was observed in the infertile group in comparison with the control group. However, the results indicate that there is no association between the t-PA Alu different genotypes and the total t-PA seminal concentration in the infertile group when compared to the control group (p = 0.63).

Conclusion

Data obtained from the current study does not support an association between t-PA Alu polymorphism and t-PA seminal concentration or male infertility.

Possible link between FSH and RANKL release from adipocytes in men with impaired gonadal function including Klinefelter syndrome

INTRODUCTION

The FSH receptor (FSHR) has been found to be expressed in human bone cells and bone marrow-adipocytes, and highly-debated mouse studies have suggested extra-gonadal effects of gonadotropins on glucose, adipocyte and bone homeostasis. These putative effects could be direct or indirectly mediated by endocrine factors released from bone-cells or adipocytes. Here, we investigated whether gonadotropins are linked with glucose- and lipid-metabolism in hypergonadotropic men.

METHODS

Single centre, cross-sectional study of 307 men with idiopathic infertility and 28 men with Klinefelter syndrome (KS).

OUTCOME

associations between serum LH and FSH with soluble-RANKL (sRANKL), osteoprotegerin (OPG), osteocalcin, fasting glucose and insulin, sex steroids, and body composition. Expression of FSHR was studied in human-derived adipocyte-cell-models (hMADS, TERT-hWA) and FSH stimulation of RANKL expression and secretion in hMADS in vitro.

RESULTS

Serum FSH was not directly linked with glucose- and lipid-metabolism. However, FSH was inversely associated with sRANKL in both infertile men and KS men (p = .023 and p = .012). Infertile men with elevated FSH (>11 U/L) had significantly lower sRANKL (p = .015). sRANKL was positively associated with fat percentage, fasting insulin, and glucose (all p < .05). Men with prediabetes had higher sRANKL (p = .021), but lower testosterone (p < .0001) and Inhibin B (p = .005). The FSHR was expressed in the investigated human derived adipocytes, and 3-6 h treatment with FSH markedly increased RANKL release (p < .05).

CONCLUSION

KS and infertile men with prediabetes have low Inhibin B, and testosterone but elevated RANKL compared with non-prediabetic men despite comparable levels of serum gonadotropins. Serum FSH and sRANKL was inversely associated in both infertile and KS men, but the increased release of RANKL from FSH treated adipocytes suggest a direct effect of FSH on RANKL production in some tissues. Further studies are required to clarify whether FSH targets RANKL in the skeleton. ClinicalTrial_ID:NCT01304927.

Circulating aryl hydrocarbon receptor-interacting protein (AIP) is independent of GH secretion

BACKGROUND

Aryl hydrocarbon receptor-interacting protein (AIP) is evolutionarily conserved and expressed widely throughout the organism. Loss-of-function AIP mutations predispose to young-onset pituitary adenomas. AIP co-localizes with growth hormone in normal and tumorous somatotroph secretory vesicles. AIP protein is detectable in circulation. We aimed to investigate possible AIP and GH co-secretion, by studying serum AIP and GH levels at baseline and after GH stimulation or suppression, in GH deficiency (GHD) and in acromegaly patients.

SUBJECTS AND METHODS

Insulin tolerance test (ITT) was performed in GHD patients (n = 13) and age-BMI-matched normal GH axis control patients (n = 31). Oral glucose tolerance test (OGTT) was performed in active acromegaly patients (n = 26) and age-BMI-matched normal GH axis control patients (n = 18). In-house immunometric assay was developed for measuring circulating AIP.

RESULTS

Serum AIP levels were in the 0.1 ng/mL range independently of gender, age or BMI. Baseline AIP did not differ between GHD and non-GHD or between acromegaly and patients with no acromegaly. There was no change in peak, trough or area under the curve during OGTT or ITT. Serum AIP did not correlate with GH during ITT or OGTT.

CONCLUSIONS

Human circulating serum AIP in vivo was assessed by a novel immunometric assay. AIP levels were independent of age, sex or BMI and unaffected by hypoglycaemia or hyperglycaemia. Despite co-localization in secretory vesicles, AIP and GH did not correlate at baseline or during GH stimulation or suppression tests. A platform of reliable serum AIP measurement is established for further research of its circulatory source, role and impact.

Two Hormones for One Receptor: Evolution, Biochemistry, Actions, and Pathophysiology of LH and hCG

LH and chorionic gonadotropin (CG) are glycoproteins fundamental to sexual development and reproduction. Because they act on the same receptor (LHCGR), the general consensus has been that LH and human CG (hCG) are equivalent. However, separate evolution of LHβ and hCGβ subunits occurred in primates, resulting in two molecules sharing ~85% identity and regulating different physiological events. Pituitary, pulsatile LH production results in an ~90-minute half-life molecule targeting the gonads to regulate gametogenesis and androgen synthesis. Trophoblast hCG, the "pregnancy hormone," exists in several isoforms and glycosylation variants with long half-lives (hours) and angiogenic potential and acts on luteinized ovarian cells as progestational. The different molecular features of LH and hCG lead to hormone-specific LHCGR binding and intracellular signaling cascades. In ovarian cells, LH action is preferentially exerted through kinases, phosphorylated extracellular-regulated kinase 1/2 (pERK1/2) and phosphorylated AKT (also known as protein kinase B), resulting in irreplaceable proliferative/antiapoptotic signals and partial agonism on progesterone production in vitro. In contrast, hCG displays notable cAMP/protein kinase A (PKA)-mediated steroidogenic and proapoptotic potential, which is masked by estrogen action in vivo. In vitro data have been confirmed by a large data set from assisted reproduction, because the steroidogenic potential of hCG positively affects the number of retrieved oocytes, and LH affects the pregnancy rate (per oocyte number). Leydig cell in vitro exposure to hCG results in qualitatively similar cAMP/PKA and pERK1/2 activation compared with LH and testosterone. The supposed equivalence of LH and hCG has been disproved by such data, highlighting their sex-specific functions and thus deeming it an oversight caused by incomplete understanding of clinical data.

Molecular regulation of follicle-stimulating hormone synthesis, secretion and action

Follicle-stimulating hormone (FSH) plays fundamental roles in male and female fertility. FSH is a heterodimeric glycoprotein expressed by gonadotrophs in the anterior pituitary. The hormone-specific FSHβ-subunit is non-covalently associated with the common α-subunit that is also present in the luteinizing hormone (LH), another gonadotrophic hormone secreted by gonadotrophs and thyroid-stimulating hormone (TSH) secreted by thyrotrophs. Several decades of research led to the purification, structural characterization and physiological regulation of FSH in a variety of species including humans. With the advent of molecular tools, availability of immortalized gonadotroph cell lines and genetically modified mouse models, our knowledge on molecular mechanisms of FSH regulation has tremendously expanded. Several key players that regulate FSH synthesis, sorting, secretion and action in gonads and extragonadal tissues have been identified in a physiological setting. Novel post-transcriptional and post-translational regulatory mechanisms have also been identified that provide additional layers of regulation mediating FSH homeostasis. Recombinant human FSH analogs hold promise for a variety of clinical applications, whereas blocking antibodies against FSH may prove efficacious for preventing age-dependent bone loss and adiposity. It is anticipated that several exciting new discoveries uncovering all aspects of FSH biology will soon be forthcoming.

Phenotype and Tissue Expression as a Function of Genetic Risk in Polycystic Ovary Syndrome

Genome-wide association studies and replication analyses have identified (n = 5) or replicated (n = 10) DNA variants associated with risk for polycystic ovary syndrome (PCOS) in European women. However, the causal gene and underlying mechanism for PCOS risk at these loci have not been determined. We hypothesized that analysis of phenotype, gene expression and metformin response as a function of genotype would identify candidate genes and pathways that could provide insight into the underlying mechanism for risk at these loci. To test the hypothesis, subjects with PCOS (n = 427) diagnosed according to the NIH criteria (< 9 menses per year and clinical or biochemical hyperandrogenism) and controls (n = 407) with extensive phenotyping were studied. A subset of subjects (n = 38) underwent a subcutaneous adipose tissue biopsy for RNA sequencing and were subsequently treated with metformin for 12 weeks with standardized outcomes measured. Data were analyzed according to genotype at PCOS risk loci and adjusted for the false discovery rate. A gene variant in the THADA locus was associated with response to metformin and metformin was a predicted upstream regulator at the same locus. Genotype at the FSHB locus was associated with LH levels. Genes near the PCOS risk loci demonstrated differences in expression as a function of genotype in adipose including BLK and NEIL2 (GATA4 locus), GLIPR1 and PHLDA1 (KRR1 locus). Based on the phenotypes, expression quantitative trait loci (eQTL), and upstream regulatory and pathway analyses we hypothesize that there are PCOS subtypes. FSHB, FHSR and LHR loci may influence PCOS risk based on their relationship to gonadotropin levels. The THADA, GATA4, ERBB4, SUMO1P1, KRR1 and RAB5B loci appear to confer risk through metabolic mechanisms. The IRF1, SUMO1P1 and KRR1 loci may confer PCOS risk in development. The TOX3 and GATA4 loci appear to be involved in inflammation and its consequences. The data suggest potential PCOS subtypes and point to the need for additional studies to replicate these findings and identify personalized diagnosis and treatment options for PCOS.

Molecular characterization, modeling, in silico analysis of equine pituitary gonadotropin alpha subunit and docking interaction studies with ganirelix

Equine pituitary gonadotropins (eLH, eFSH, eCG) are heterodimeric glycoprotein hormones with alpha (α) and beta (β) subunits. It is responsible for maintenance of pregnancy in mares during early gestation and fairly valuable for inducing superovulation in animals other than equines. The alpha subunit is common, while beta subunit is species-specific in all glycoprotein hormones. In the present investigation, molecular cloning and in silico characterization including homology modeling and molecular docking analysis of the equine chorionic gonadotropin (eCG) alpha subunit was carried out for gaining structural and functional insights into the eCG alpha subunit and its possible interaction with ganirelix, a gonadotropin-releasing hormone (GnRH) antagonist. The equine chorionic gonadotropin (eCG) alpha subunit expressed in pituitary gland was selected, amplified from total RNA, cloned and sequenced. The in silico analyses were made for homology modelling, structural details, epitope identification and chromosomal localization. Molecular docking studies of eCG alpha were undertaken with a drug ganirelix which is used to control ovulation and has antagonistic activity against GnRH. The protein sequence corresponding to selected open reading frame (ORF) was 99-100% similar with domesticated horse, Przewalski's horse, and 92-93% with Burchell's zebra and donkey. Molecular docking studies revealed the possible interaction of eCG alpha with ganirelix. The possible drug-macromolecule interactions were visualized between eCG alpha and ganirelix. The study will provide structural insight into unique sites and an alternate route of gonadotropin suppression applicable to assisted reproductive technologies.

Gene variants associated with age at menopause are also associated with polycystic ovary syndrome, gonadotrophins and ovarian volume

STUDY QUESTION

Is there a relationship between the genetic risk for polycystic ovary syndrome (PCOS) and genetic variants that influence timing of menopause?

SUMMARY ANSWER

The genetic risk score, which sums the contribution of variants at all menopause loci, was associated with PCOS.

WHAT IS ALREADY KNOWN

Ovarian parameters and anti-Mullerian hormone levels suggest that women with PCOS should have a later age at menopause.

STUDY DESIGN, SIZE, DURATION

The study was a case-control examination of genetic variants associated with age at menopause in a discovery cohort of women with PCOS (n = 485) and controls (n = 407) from Boston recruited from 2003 to 2012. Replication was performed in women from Greece (cases, n = 884 and controls, n = 311).

PARTICIPANTS/MATERIALS, SETTINGS, METHODS

PCOS was defined by the National Institutes of Health criteria in Boston and Greece (n = 783), with additional subjects fulfilling the Rotterdam criteria (hyperandrogenism, polycystic ovary morphology and regular menses) in Greece (n = 101). Controls in Boston and Greece had regular menstrual cycles and no hyperandrogenism. Allele frequencies for variants previously associated with age at menopause were examined in PCOS cases and controls, along with the relationship to quantitative traits.

MAIN RESULTS AND ROLE OF CHANCE

The variant rs11668344-G was associated with decreased risk of PCOS (odds ratio: 0.77 [0.59-0.93]; P = 0.004). There was a strong relationship between the late menopause allele rs12294104-T and increased LH levels (β ± SE; 0.26 ± 0.06; P = 5.2 × 10(-5)) and the LH:FSH ratio (0.28 ± 0.06; P = 2.7 × 10(-6)). The minor allele at rs10852344-T was associated with smaller ovarian volume (-0.16 ± 0.05; P = 0.0012). A genetic risk score calculated from 16 independent variants associated with age at menopause was also associated with PCOS (P < 0.02), LH and the LH:FSH ratio (both P < 0.05).

LIMITATIONS, REASONS FOR CAUTION

The variant rs11668344 was not associated with PCOS in the Greek cohort, but results exhibited the same direction of effect as the Boston cohort. However, it is possible that the individual association was a false positive in the Boston cohort.

WIDER IMPLICATIONS OF THE FINDINGS

The study demonstrates that gene variants known to influence age at menopause are also associated with risk for PCOS. Further, our data suggest that the relationship between age at menopause and PCOS may be explained, at least in part, by effects on LH levels and follicle number. The data point to opposing influences of the genetic variants on both menopausal age and PCOS.

STUDY FUNDING/COMPETING INTERESTS

The project was supported by award number R01HD065029 from the Eunice Kennedy Shriver National Institute of Child Health & Human Development, award number 1 UL1 RR025758, Harvard Clinical and Translational Science Center, from the National Center for Research Resources and award 1-10-CT-57 from the American Diabetes Association. C.K.W. is a consultant for Takeda Pharmaceuticals.

TRIAL REGISTRATION NUMBER

NCT00166569.