ABSTRACT
Relevance: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age. The prevalence rates of PCOS depend on the diagnostic criteria used and the characteristics of the population sample, and in the general population of women of reproductive age, the prevalence of the syndrome ranges from 6-9% to 19.9% [1,2]. According to modern criteria adopted by the consensus in Rotterdam, then systematically updated by ESHRE / ASRM (2014), the presence of two of the three criteria in a patient simultaneously allows to diagnose PCOS if other pathological conditions are excluded (thyroid pathology, congenital adrenal hyperplasia, adrenogenitalsyndrome, androgen-secreting tumors, Itsenko-Cushing syndrome). Modern international diagnostic criteria include the following signs: (1) signs of polycystic ovaries according to information from pelvic ultrasound investigation (the presence of more than 10 follicles in each ovary);(2) oligo-anovulation;(3) clinical (presence of hirsutism) or biochemical (increased androgen levels) development of ovarian hyperandrogenism [3, 4]. Polycystic ovary syndrome is closely related to many diseases, including metabolic syndrome. Although insulin resistance is an important risk factor for metabolic syndrome and other diseases associated with PCOS, hyperandrogenismmay also be an independent risk factor for type 2 diabetes, obesity, cardiovascular disease (CVD), and metabolic syndrome in female patients. Obesity is the most common symptom in PCOS patients (33-88%), which has a large impact on fertility and can lead to adverse effects such as menstrual irregularities, anovulation, infertility and abortion. Therefore, weight management in early PCOS is essential to improve fertility and quality of life. Hyperandrogenism plays a decisive role in abdominal obesity in obese women during adolescence, adulthood and menopause [5]. Although some studies have shown a negative association between plasma androgen levels (A4, DHEA and DHEAS) and obesity [6,7]. But the mechanism of how androgens affect fat cells in women is poorly understood. A number of observations show that among obese women with PCOS, metabolic disorders associated with insulin resistance and obesity, in many cases, play a more important role in the mechanism of anovulation in PCOS than excess androgens. In recent years, it has been established that in PCOS there is a frequent combination of hyperandrogenism and insulin resistance. With insulin resistance, there is a decrease in the response of insulin-sensitive tissues to the hormone insulin with its sufficient level in the blood. Insulin resistance is found in 30-70% of patients with PCOS who are overweight or obese, and in patients with normal body weight it occurs in 20-25% of cases. The above facts, as well as our own observations, prompted us to analyze the studied women of fertile age with impaired reproductive system against the background of overweight and obesity. Considering the above, the aim of this study was to identify the relationship between insulin resistance and reproductive disorders in women with overweight and obesity. Material and research methods. The study included 123 women with clinical development of HA and impaired reproductive function, who consulted the consultative clinic of the RSSPMC of Obstetrics and Gynecology of the Ministry of Health of the Republic of Uzbekistan. The criteria for inclusion in the main group were: age of women from 18 to 35 years (average age was 25.8 .. 3.28 years), absence of pregnancy, body mass index over 25 kg / m2. Exclusion criteria from the main group: type 1 and 2 diabetes, pituitary tumors, hypogonadotropichypogonadism, congenital adrenal hyperplasia, hypothyroidism, severe somatic pathology. All patients who applied for the consultation underwent: (1) Collection of anamnestic information. (2) Measurement of anthropometric indicators (height, weight, waist and hip circumference) and assessment of body hair growth using the Ferriman-Hallway scale. (3) Body mass index was
ABSTRACT
BACKGROUND: Garlic (Allium sativum L.) is a common herb consumed worldwide as functional food and traditional remedy for the prevention of infectious diseases since ancient time. Garlic and its active organosulfur compounds (OSCs) have been reported to alleviate a number of viral infections in pre-clinical and clinical investigations. However, so far no systematic review on its antiviral effects and the underlying molecular mechanisms exists. SCOPE AND APPROACH: The aim of this review is to systematically summarize pre-clinical and clinical investigations on antiviral effects of garlic and its OSCs as well as to further analyse recent findings on the mechanisms that underpin these antiviral actions. PubMed, Cochrane library, Google Scholar and Science Direct databases were searched and articles up to June 2020 were included in this review. KEY FINDINGS AND CONCLUSIONS: Pre-clinical data demonstrated that garlic and its OSCs have potential antiviral activity against different human, animal and plant pathogenic viruses through blocking viral entry into host cells, inhibiting viral RNA polymerase, reverse transcriptase, DNA synthesis and immediate-early gene 1(IEG1) transcription, as well as through downregulating the extracellular-signal-regulated kinase (ERK)/mitogen activated protein kinase (MAPK) signaling pathway. The alleviation of viral infection was also shown to link with immunomodulatory effects of garlic and its OSCs. Clinical studies further demonstrated a prophylactic effect of garlic in the prevention of widespread viral infections in humans through enhancing the immune response. This review highlights that garlic possesses significant antiviral activity and can be used prophylactically in the prevention of viral infections.
ABSTRACT
Recently an outbreak that emerged in Wuhan, China in December 2019, spread to the whole world in a short time and killed >1,410,000 people. It was determined that a new type of beta coronavirus called severe acute respiratory disease coronavirus type 2 (SARS-CoV-2) was causative agent of this outbreak and the disease caused by the virus was named as coronavirus disease 19 (COVID19). Despite the information obtained from the viral genome structure, many aspects of the virus-host interactions during infection is still unknown. In this study we aimed to identify SARS-CoV-2 encoded microRNAs and their cellular targets. We applied a computational method to predict miRNAs encoded by SARS-CoV-2 along with their putative targets in humans. Targets of predicted miRNAs were clustered into groups based on their biological processes, molecular function, and cellular compartments using GO and PANTHER. By using KEGG pathway enrichment analysis top pathways were identified. Finally, we have constructed an integrative pathway network analysis with target genes. We identified 40 SARS-CoV-2 miRNAs and their regulated targets. Our analysis showed that targeted genes including NFKB1, NFKBIE, JAK1-2, STAT3-4, STAT5B, STAT6, SOCS1-6, IL2, IL8, IL10, IL17, TGFBR1-2, SMAD2-4, HDAC1-6 and JARID1A-C, JARID2 play important roles in NFKB, JAK/STAT and TGFB signaling pathways as well as cells' epigenetic regulation pathways. Our results may help to understand virus-host interaction and the role of viral miRNAs during SARS-CoV-2 infection. As there is no current drug and effective treatment available for COVID19, it may also help to develop new treatment strategies.