The TAC1 Gene in Candida albicans: Structure, Function, and Role in Azole Resistance: A Mini-Review.

Candidiasis is a common fungal infection caused by Candida species, with Candida albicans being the most prevalent. Resistance to azole drugs, commonly used to treat Candida infections, poses a significant challenge. Transcriptional activator candidate 1 (TAC1) gene has emerged as a key player in regulating drug resistance in C. albicans. This review explores the structure and function of the TAC1 gene and its role in azole resistance. This gene encodes a transcription factor that controls the expression of genes involved in drug resistance, such as efflux pump genes (CDR1, CDR2, and MDR1) and ERG11. Mutations in TAC1 can increase these genes' expression and confer resistance to azoles. Various TAC1 gene mutations, mostly gain-of-function mutations, have been identified, which upregulate CDR1 and CDR2 expression, resulting in azole resistance. Understanding the mechanisms of azole resistance mediated by the TAC1 gene is crucial for the strategies in the effective antifungal development pipeline.

Autoimmune thyroid disorders and polycystic ovary syndrome: Tracing links through systematic review and meta-analysis.

Polycystic Ovary Syndrome (PCOS) and Autoimmune Thyroiditis (AIT) are two prevalent endocrine disorders affecting women, often coexisting within the same patient population. This meta-analysis aims to systematically assess and synthesize the existing body of literature to elucidate the intricate relationship between PCOS and AIT. A systematic literature search for relevant observational studies was conducted in electronic databases such as Web of Science, Google Scholar, PubMed, Cochrane, and Scopus until March 2023. All Statistical analyses were performed using CMA Software v3.7 in a random-effects network meta-analysis. In addition, sensitivity and meta-regression analyses were conducted to identify sources of Heterogeneity based on related risk factors. Our meta-analysis included eighteen studies with 3657 participants, which revealed significant differences between PCOS patients and control groups. In particular, a considerable association was detected between PCOS and the presence of AIT (OR = 2.38; 95% CI: 1.63-3.49; P< 0.001) and elevated levels of TSH (SMD = 0.24; 95% CI: 0.06-0.42; P= 0.01), anti-TPO (SMD = 0.36; 95% CI: 0.19-0.53; P< 0.001), anti-TG (SMD = 1.24; 95% CI: 0.37-2.10; P< 0.001), and other positive serum antibodies compared to the control groups. The findings from this meta-analysis may contribute to enhanced diagnostic strategies like complete thyroid function tests, more targeted interventions, and improved patient care for individuals presenting with both PCOS and AIT. Additionally, identifying commonalities between these conditions may pave the way for future research directions, guiding the development of novel therapeutic approaches that address the interconnected nature of PCOS and AIT.

Circulating Galectin-3 levels in women with polycystic ovary syndrome: A meta-analysis.

Polycystic ovary syndrome (PCOS) is a highly prevalent endocrine disorder characterized by multifactorial and intricate pathogenesis. The discovery of novel markers has been a significant step toward understanding the mechanisms of PCOS. Galectin-3 has emerged as a novel factor in metabolic disorders. This meta-analysis examines the association between circulating Galectin-3 and PCOS. A systematic review and meta-analysis were performed to identify relevant articles in the electronic databases PubMed, Web of Science, Scopus, Cochrane, EMBASE, and Google Scholar. The search covered the period from January 2000 to March 2023 and followed a predefined search strategy. Eight articles were included in the analysis with a total of 594 participants (322 patients with PCOS and 272 controls). Pooled standardized mean difference (SMD) and 95 % confidence interval [CI] were used to evaluate the association between Galectin-3 levels and PCOS. The results indicated a significant association between PCOS and galectin-3 levels (SMD = 0.58; 95 % CI: 0.15-1.01; p = 0.007). In addition, subgroup analysis showed a significant difference in serum Galectin-3 levels in women with PCOS and a higher homeostatic model assessment for insulin resistance ratio (SMD = 0.89; 95 % CI: 0.45-1.33; p < 0.001). The researchers also performed meta-regression and subgroup analyses to specify sources of heterogeneity. The results of our meta-analysis suggest an association between increased levels of galectin-3 and PCOS. Galectin-3 plays a significant role in the progression of PCOS and could be used as a novel diagnostic biomarker. Nevertheless, it is essential to perform further studies to confirm and support our conclusions.

Association of Free Radical Product and Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis.

PURPOSE: Polycystic ovary syndrome (PCOS) is an endocrine disorder that primarily affects women of reproductive age. It is recognized as the leading cause of infertility due to anovulation. This research aims to evaluate the diagnostic potential of oxidative stress biomarkers, including advanced oxidation protein products (AOPP), malondialdehyde (MDA), uric acid (UA), and nitric oxide (NO), in identifying PCOS. METHODS: A literature search was conducted in the EMBASE, PubMed, Cochrane Library, and Scopus databases. The standardized mean difference (SMD) and 95% confidence interval (CI) were employed to assess the correlation between free radical product and PCOS. Moreover, the presence of heterogeneity among the studies was assessed utilizing the I2 statistic and Cochran Q test. The methodological rigor of the incorporated studies was assessed through the application of the Newcastle-Ottawa Scale. Furthermore, the presence of publication bias was determined via Begg and Egger tests. RESULTS: This meta-analysis reviewed 38 observational studies, including 17,845 women. The results revealed a significant association between PCOS in women and alterations in free radical levels. The study revealed that the PCOS group had significantly higher levels of AOPP (SMD = 3.193; 95% CI, 2.86 to 3.25), UA (SMD = 0.68; 95% CI, 0.24 to 1.13), and MDA (SMD = 1.16; 95% CI, 0.77 to 1.56) compared to the healthy control group. Furthermore, the analysis found a significantly lower level of NO (SMD = (- 0.59); 95% CI, - 1.15 to - 0.03) in the PCOS patient. CONCLUSION: Screening of specific biomarkers associated with free radical products could provide valuable benefits in the prognosis and diagnosis of PCOS.