Public Health System's Preparedness to Address Polycystic Ovarian Syndrome: A Rapid Assessment Survey of Health-care Providers in India.

BACKGROUND: Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorders largely affecting women of reproductive age group. OBJECTIVES: This study aimed to understand the Indian public health-care systems' preparedness in addressing PCOS. MATERIALS AND METHODS: A multicentric rapid assessment cross-sectional study was undertaken among 173 health-care providers serving across various public health-care facilities in India. This study was a component of a larger task force study that aimed to estimate the community-based prevalence of PCOS in India. Information on PCOS cases reported that knowledge about PCOS diagnosis, management practices, availability of diagnostic facilities, and drugs was explored. RESULTS: Irregular menstrual cycle was the most commonly reported PCOS symptom. Most of the health-care providers (HCPs) lacked correct knowledge about diagnostic criteria and investigation needed for the diagnosis of PCOS. Diagnostic facilities and drugs were inadequate. However, some facilities had access to investigations through public-private partnerships. Awareness programs on PCOS in the community were negligible, and PCOS cases were not documented. Training HCPs on PCOS along with the availability of specialists and strengthening diagnostic facilities were some major demands from the HCPs. CONCLUSION: Results suggest the need for training HCPs, strengthening infrastructure with good referral linkages, and adequate supply of drugs to help improve PCOS management at public health-care facilities in India. There is a need to develop national technical and operational guidelines to address PCOS using a multidisciplinary approach across all levels of care. Creating demand for services and advocating healthy lifestyles through community awareness can help early diagnosis and prevention of complications.

Common Hematological Reference Indices Among Healthy Reproductive Age Indian Women-Data Subset from Nationwide Study.

Despite the negative implications on women's health, pregnancy, and fetal outcomes, population-based studies on hematological indices among reproductive age women in India have received inadequate attention. This study aimed to generate normative ranges for various hematological parameters among these women. After ethics approval, apparently healthy (n = 5884) women (aged 18-40 years) were recruited from six eco-geographic zones of India. After various exclusions (n = 5412), including women having anemia, data of clinically, and biochemically healthy women (n = 472) was analysed to generate centiles (2.5 and 97.5th) and correlations. The mean age and mean BMI of women was 29.3 ± 6.5 years and 23.25 ± 3.26 kg/m2 with BP of 112.26 ± 8.9/74.04 ± 6.7 mmHg. The reference intervals for hemoglobin (12-15.1 gm/dl), RBC (3.68-5.55 millions/µl), WBC (4.1-11.26*109/L), platelet count (1.32-4.42*105/µl), and erythrocyte sedimentation rate (4.35-41.65 mm/hr) were different from currently used reference values (p < 0.05). However, these haematological indices did not vary among various age categories, geographical zones, ethnicities and rural or urban origins. Pearson's correlation revealed a statistically significant association between ESR, WBC, monocytes, and platelets with homeostasis model assessment of insulin resistance (HOMA-IR). Women with HOMA-IR > 2 displayed a statistically significant differences in parameters like MCV, ESR, eosinophil and platelet counts as compared to the women with HOMA-IR < 2. This study provides a pioneering reference data of hematological indices among women of reproductive age in India. Despite the small sample size results can be extrapolated to the national population given the representative sampling of various geographical zones. This may pave way for future comprehensive large-scale studies on the subject. Supplementary Information: The online version contains supplementary material available at 10.1007/s12288-023-01714-6.

Unveiling the Role of Artificial Intelligence (AI) in Polycystic Ovary Syndrome (PCOS) Diagnosis: A Comprehensive Review.

Polycystic Ovary Syndrome (PCOS) is one of the most widespread endocrine and metabolic disorders affecting women of reproductive age. Major symptoms include hyperandrogenism, polycystic ovary, irregular menstruation cycle, excessive hair growth, etc., which sometimes may lead to more severe complications like infertility, pregnancy complications and other co-morbidities such as diabetes, hypertension, sleep apnea, etc. Early detection and effective management of PCOS are essential to enhance patients' quality of life and reduce the chances of associated health complications. Artificial intelligence (AI) techniques have recently emerged as a popular methodology in the healthcare industry for diagnosing and managing complex diseases such as PCOS. AI utilizes machine learning algorithms to analyze ultrasound images and anthropometric and biochemical test result data to diagnose PCOS quickly and accurately. AI can assist in integrating different data sources, such as patient histories, lab findings, and medical records, to present a clear and complete picture of an individual's health. This information can help the physician make more informed and efficient diagnostic decisions. This review article provides a comprehensive analysis of the evolving role of AI in various aspects of the management of PCOS, with a major focus on AI-based diagnosis tools.

Adropin may regulate ovarian functions by improving antioxidant potential in adult mouse.

The corpus luteum (CL) is a temporary endocrine gland that synthesizes progesterone. The luteal progesterone plays a central role in the regulation of the estrous cycle as well as the implantation and maintenance of pregnancy. Our previous study showed the expression of adropin and its receptor, GPR19, in the luteal cells and its significant role in luteinization. The aim of the present study was to investigate the in vitro effect of adropin on hCG-induced ovarian functions in adult mice. We also evaluated the effect of exogenous treatment with adropin on ovarian steroidogenesis and anti-oxidant parameters, with special emphasis on CL function. Our results demonstrated that adropin acts synergistically with hCG to promote ovarian steroidogenesis and survival by increasing the expression of StAR, 3ß-HSD, and aromatase proteins and decreasing the BAX/BCL2 ratio. Exogenous adropin treatment increased progesterone production by increasing the expression of GPR19, StAR and 3ß-HSD enzymes in the mouse ovary. Also, adropin inhibited the luteal oxidative stress by increasing nuclear translocation of NRF-2 in CL, which resulted in increased HO-1 expression and SOD, catalase activity. Decreased oxidative stress might inhibit the translocation of NF-κB into the nucleus of luteal cells, resulting into increased survival and decreased apoptosis, as evident by decreased lipid peroxidation, BAX/BCL2 ratio, caspase 3, active caspase 3 expression, and TUNEL-positive cells in adropin treated mice. Our findings suggest that adropin can be a promising candidate that can enhance the survivability of the CL.

Assessing the impact and mechanisms of environmental pollutants (heavy metals and pesticides) on the male reproductive system: a comprehensive review.

The escalation of technological advancements, coupled with the increased use of hazardous chemicals, has emerged as a significant concern for human health. Exposure to environmental pollutants like heavy metals and pesticides (insecticides, herbicides and fungicides) is known to significantly contribute to various health problems, particularly affecting reproductive health. Disturbances in reproductive potential and reproductive toxicity in males are particularly worrisome. Existing literature suggests that exposure to these environmental pollutants significantly alters male reproductive parameters. Thus, it is imperative to thoroughly analyze, comprehend, and evaluate their impact on male reproductive toxicity. Oxidative stress and disruptions in redox equilibrium are major factors through which these pollutants induce changes in sperm parameters and affect the reproductive system. Insecticides, fungicides, and herbicides act as endocrine disruptors, interfering with the secretion and function of reproductive hormones such as testosterone and luteinizing hormone (LH), consequently impacting spermatogenesis. Additionally, heavy metals are reported to bio-accumulate in reproductive organs, acting as endocrine disruptors and triggering oxidative stress. The co-operative association of these pollutants can lead to severe damage. In this comprehensive review, we have conducted an in-depth analysis of the impact of these environmental pollutants on the male reproductive system, shedding light on the underlying mechanisms of action.

Implication of biosignatures in the progression of endometriosis.

Endometriosis is an estrogen-dependent chronic inflammatory disorder involving the placement and growth of endometrial tissue outside the uterine cavity. It is the most common multifactorial disease that affects the life quality of women in reproductive age. Due to its multicomponent nature, early diagnosis of the disease is challenging. Since many genetic, epigenetic alterations and non-genetic factors contribute to the pathology of endometriosis, devising a drug therapy that directly acts on the ectopic tissue is extremely difficult. Endometriosis is a hormone-driven disease with estrogen considered as a primary driver for the development of endometriotic lesions. This study aims to identify biosignatures involved in endometriosis with and without gonadotropin releasing hormone agonists (GnRHa). GnRHa is a short peptide analog of GnRH that causes inhibition of estrogen and androgen synthesis. Microarray based-gene expression profiling was performed on total RNA extracted from endometriotic tissue samples with and without GnRHa-treated patients already published in our previous paper. The untreated group were considered as the control. Genes were then selected for validation by quantitative real-time polymerase chain reaction (qRT-PCR). qRT-PCR analysis confirmed significant downregulation in(p < 0.05) expression of DARC (p = 0.0042), CDH1 (p = 0.0027), CDH5 (p = 0.0283), ATP2A3 (p < 0.001), RGS5 (p = 0.0032), and CD36 (p = 0.0162) in endometriosis patients treated with GnRHa analogs. Although, CTNNAL1 (p = 0.0136) also showed significant results but there was upregulation in their expression levels after GnRHa treatment. Thus, an altered expression of these genes makes them a possible candidate determinant of endometriosis treated with GnRHa.