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Background: Prostate cancer is the second most common neoplasm in men, with projections estimating over one million new cases by 2045. Differentially expressed genes can significantly enhance the diagnosis, treatment, monitoring, and prognosis of this disease. Purpose: to systematically review and analyze validated differentially expressed mRNAs in prostate cancer patients to propose a robust molecular profile for clinical diagnostics. Methods: A systematic review was conducted following PRISMA guidelines, searching literature databases for mRNAs with validated differential expression in adult prostate cancer patients. Identified mRNAs were analyzed using STRING, Cytoscape, and DrugBank to explore protein–protein interactions and potential drug targets. Results: A total of 5003 participants from Europe, Asia, America, and Oceania were included, and 144 mRNAs (p < 0.05) were reported across 75 primary articles, predominantly validated using RT-qPCR with tissue samples. Among these, at least 36 mRNAs were identified as targets for cancer-related drugs. Enrichment analysis revealed the top pathways were associated with cancer, including specific prostate cancer terms. Key nodes emerged as hubs in the protein–protein interaction network. Conclusion: Based on our comprehensive in silico analysis of validated differentially expressed mRNAs, we propose a molecular profile of twenty-five mRNAs with significant potential for clinical diagnosis of prostate cancer. These findings offer a valuable foundation for developing precision oncology strategies to improve patient outcomes. [ABSTRACT FROM AUTHOR]

ABSTRACT: This study offers a detailed analysis of clinical trials conducted in Ecuador from 2010 to 2022 to assess alignment with the country's disease burden as indicated by the Global Burden of Disease study. Utilizing data from five registries, including ARCSA and Clinicaltrials.gov, we analyzed characteristics and coverage of 75 CTs after removing duplicates and ineligible studies. Findings reveal a 50% research gap across disease groups, with neoplasms being the only category matching disease burden. The scarcity of clinical research highlights the disparity between CTs and prevalent diseases such as cardiovascular and kidney diseases, diabetes, and other non-communicable conditions. Our results underscore the urgent need for increased clinical research investment addressing these critical health challenges in Ecuador. [ABSTRACT FROM AUTHOR]

One Health (OH) represents a comprehensive and unifying approach designed to balance and optimize the health of humans, animals, and ecosystems. By leveraging the interdependent links among these domains, OH establishes new methodologies for disease surveillance and control. The manner in which land is utilized can influence the incidence of malaria; meteorological conditions and artificial water controls can impact diseases such as dengue, and the trade of live wildlife can escalate the likelihood of certain infectious diseases being transmitted from animals to humans (zoonoses), among other interconnected factors. That is, an integrative effort of multiple disciplines working collaboratively and locally, nationally, and globally in all aspects of health care for humans, animals, and the environment. The aim of this manuscript was to elucidate and discuss the OH concept as an interdisciplinary and transdisciplinary paradigm in healthcare. In conclusion,it is imperative to embrace the OH philosophy from a global to local scale in order to mitigate, among other concerns, the heightened risks of pandemics. This consideration is especially pertinent given the exponential growth of the global population and urbanization trends, which may contribute to an increased frequency of pandemic occurrences. [ABSTRACT FROM AUTHOR]

Background: Polycystic ovary syndrome (PCOS) is a highly prevalent endocrine–metabolic disorder in women of reproductive age. Diagnosis is based on the evidence-based international guideline 2018 and the Rotterdam Consensus to classify PCOS phenotypes. This study aims to characterize the biodemographic, clinical, metabolic, and reproductive variables and their relationship with PCOS phenotypes in a population from the Ecuadorian Andes. Methodology: A cross-sectional study was conducted with a non-random consecutive sample of 92 women who attended the outpatient gynecology and endocrinology clinic at the Hospital of the Technical University of Loja (UTPL)—Santa Inés, Loja, Ecuador, between January 2022 and July 2023. Descriptive statistics, mean calculations, standard deviation, parametric and nonparametric tests, odds ratios (OR), confidence intervals (CI), and p-values were employed. Results: The average age was 22 ± 3.4 years, with a predominantly mestizo, urban, single, highly educated, and medium–high socioeconomic level population. It was identified that phenotypes A + B are at a higher risk of developing oligomenorrhea and hypertriglyceridemia compared to phenotypes C + D, with statistically significant differences (p < 0.05). Furthermore, in terms of reproductive variables, phenotypes A + B exhibit a significantly higher frequency of elevated anti-Müllerian hormone (AMH) compared to phenotypes C + D, also with statistical significance (p < 0.05). Conclusions: The classical phenotypes A and B of PCOS are the most common in Ecuadorian Andean women and carry a higher risk of insulin resistance, anovulation, metabolic disorders, and elevated triglyceride levels compared to phenotypes C and D. Ethnic diversity and sociocultural habits influence the prevalence and clinical manifestations of these phenotypes. [ABSTRACT FROM AUTHOR]