Targeting Leishmania infantum Mannosyl-oligosaccharide glucosidase with natural products: potential pH-dependent inhibition explored through computer-aided drug design.

Visceral Leishmaniasis (VL) is a serious public health issue, documented in more than ninety countries, where an estimated 500,000 new cases emerge each year. Regardless of novel methodologies, advancements, and experimental interventions, therapeutic limitations, and drug resistance are still challenging. For this reason, based on previous research, we screened natural products (NP) from Nuclei of Bioassays, Ecophysiology, and Biosynthesis of Natural Products Database (NuBBEDB), Mexican Compound Database of Natural Products (BIOFACQUIM), and Peruvian Natural Products Database (PeruNPDB) databases, in addition to structural analogs of Miglitol and Acarbose, which have been suggested as treatments for VL and have shown encouraging action against parasite's N-glycan biosynthesis. Using computer-aided drug design (CADD) approaches, the potential inhibitory effect of these NP candidates was evaluated by inhibiting the Mannosyl-oligosaccharide Glucosidase Protein (MOGS) from Leishmania infantum, an enzyme essential for the protein glycosylation process, at various pH to mimic the parasite's changing environment. Also, computational analysis was used to evaluate the Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profile, while molecular dynamic simulations were used to gather information on the interactions between these ligands and the protein target. Our findings indicated that Ocotillone and Subsessiline have potential antileishmanial effects at pH 5 and 7, respectively, due to their high binding affinity to MOGS and interactions in the active center. Furthermore, these compounds were non-toxic and had the potential to be administered orally. This research indicates the promising anti-leishmanial activity of Ocotillone and Subsessiline, suggesting further validation through in vitro and in vivo experiments.

Salud Mental en estudiantes universitarios en aislamiento social durante la pandemia COVID-19. Arequipa, Perú

Introducción: La Pandemia COVID-19, ha tenido impactos negativos en la salud física y mental de las personas, así como las medidas adoptadas por los gobiernos, para prevenir el contagio masivo de la población como el confinamiento, el aislamiento social, el trabajo y educación virtual. Dentro de los afectados por estos cambios, se encontrarían los estudiantes universitarios del área de la salud, que además de estudiar en estas condiciones de pandemia, no han podido hacer sus prácticas de los servicios de salud. Esta situación de exposición al aislamiento, podría afectar la salud mental de los jóvenes estudiantes universitarios. Objetivo: determinar los niveles de depresión, ansiedad y estrés en estudiantes universitarios y su relación con variables sociodemográficas y las características del aislamiento social durante la Pandemia COVID-19. Métodos: Se realizó un estudio descriptivo, observacional, de corte transversal y cuantitativo, con una muestra de 818 estudiantes universitarios de facultades de ciencias de la salud, mediante el cuestionario autoadministrado DASS-21. Resultados: Los principales hallazgos fueron: una mayor prevalencia en niveles altos (severos y extremadamente severos) en la ansiedad, alcanzado casi a 4 de cada 10 de los evaluados; por otro lado, en depresión y el estrés, 2 de cada 10 de los evaluados, se encontraron en los niveles mencionados. En relación con las variables sociodemográficas, las relacionadas con el COVID-19 y aislamiento social, se hallaron diferencias estadísticamente significativas con el género (mujeres > varones), el haber tenido COVID-19 (Sí > No) y vivir con familiares como antes de la pandemia (Sí > No) obtuvieron en promedio mayores puntajes en depresión, ansiedad y estrés. Conclusión: Los estudiantes que presentaron mayor depresión, ansiedad y estrés con una diferencia significativa fueron de género femenino, con antecedentes de haber tenido Covid-19, menor contacto con familiares y haber cumplido con aislamiento social total.

Introduction: The COVID-19 Pandemic has had negative impacts on the physical and mental health of people, as well as the measures adopted by governments to prevent the massive contagion of the population, such as confinement, social isolation, virtual work, and virtual education. Among those affected by these changes would be university students in the health area who, in addition to studying in these pandemic conditions, have been unable to do their health service practices. This situation of exposure to isolation could affect the mental health of young university students. Objective: To determine the levels of depression, anxiety, and stress in university students, their relationship with sociodemographic variables, and the characteristics of social isolation during the COVID-19 Pandemic. Methods: A descriptive, observational, cross-sectional, and quantitative study was carried out with a sample of 818 university students from health sciences faculties using the DASS-21 self-administered questionnaire. Results: The main findings were a higher prevalence of high levels (severe and highly severe) in anxiety, reaching almost 4 out of 10 of those evaluated; On the other hand, in depression and stress, 2 out of 10 of those evaluated were found at the mentioned levels. Concerning the sociodemographic variables, those related to COVID-19 and social isolation, statistically significant differences were found with gender (women > men), having had COVID-19 (Yes > No), and living with relatives as before. On average, the pandemic (Yes > No) obtained higher scores in depression, anxiety, and stress. Conclusion: The students who presented greater depression, anxiety, and stress with a significant difference were female, with a history of having had Covid-19, less contact with family members, and having complied with total social isolation

Computer-aided drug design approaches applied to screen natural product's structural analogs targeting arginase in Leishmania spp.

Introduction: Leishmaniasis is a disease with high mortality rates and approximately 1.5 million new cases each year. Despite the new approaches and advances to fight the disease, there are no effective therapies. Methods: Hence, this study aims to screen for natural products' structural analogs as new drug candidates against leishmaniasis. We applied Computer-aided drug design (CADD) approaches, such as virtual screening, molecular docking, molecular dynamics simulation, molecular mechanics-generalized Born surface area (MM-GBSA) binding free estimation, and free energy perturbation (FEP) aiming to select structural analogs from natural products that have shown anti-leishmanial and anti-arginase activities and that could bind selectively against the Leishmania arginase enzyme. Results: The compounds 2H-1-benzopyran, 3,4-dihydro-2-(2-methylphenyl)-(9CI), echioidinin, and malvidin showed good results against arginase targets from three parasite species and negative results for potential toxicities. The echioidinin and malvidin ligands generated interactions in the active center at pH 2.0 conditions by MM-GBSA and FEP methods. Conclusions: This work suggests the potential anti-leishmanial activity of the compounds and thus can be further in vitro and in vivo experimentally validated.

A mini-review on ELISA-Based Diagnosis of Schistosomiasis.

BACKGROUND: schistosomiasis is a neglected tropical parasitic disease caused by trematode worms of the genus schistosoma, which affects approximately 240 million people worldwide. the diagnosis of the disease can be performed by parasitological, molecular, and/or immunological methods, however, the development of new diagnostic methods still essential to guide policy decisions, monitor disease trends and assess the effectiveness of interventions. OBJECTIVE: in this sense, the current work summarizes the findings of a systematic review regarding antigens applied in the enzyme-linked immunosorbent assay test, which were patented and published over the last ten years. METHODS: the literature search strategy used medical subject heading (mesh) terms to define as descriptors. "schistosoma mansoni" was used in arrangement with the descriptors "immunoassay", "enzyme-linked immunosorbent assay", "elisa", and "antigens", using the "and" connector. the patent search was done using keywords, including diagnosis and schistosoma or schistosomiasis or schistosome. several databases were employed for the patent search, such as intellectual property national institute; european patent office; the united states patent and trademark office; patent scope, and google patents. RESULTS: forty-one articles were retrieved, of which only five met the eligibility criteria. seventeen patents were taken from the databases, and a brief description of the most relevant inventions is given here. CONCLUSION: schistosomiasis is considered the most important helminthic disease in worldwide. therefore, it is important to of searching for and develops diagnostic methods based on serology to reduce morbidity and mortality caused by the disease.

A Systematic Review and Meta-Analysis Comparing the Diagnostic Accuracy Tests of COVID-19.

In this paper, we present a systematic review and meta-analysis that aims to evaluate the reliability of coronavirus disease diagnostic tests in 2019 (COVID-19). This article seeks to describe the scientific discoveries made because of diagnostic tests conducted in recent years during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Between 2020 and 2021, searches for published papers on the COVID-19 diagnostic were made in the PubMed database. Ninety-nine scientific articles that satisfied the requirements were analyzed and included in the meta-analysis, and the specificity and sensitivity of the diagnostic accuracy were assessed. When compared to serological tests such as the enzyme-linked immunosorbent assay (ELISA), chemiluminescence immunoassay (CLIA), lateral flow immunoassay (LFIA), and chemiluminescent microparticle immunoassay (CMIA), molecular tests such as reverse transcription polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), and clustered regularly interspaced short palindromic repeats (CRISPR) performed better in terms of sensitivity and specificity. Additionally, the area under the curve restricted to the false-positive rates (AUCFPR) of 0.984 obtained by the antiviral neutralization bioassay (ANB) diagnostic test revealed significant potential for the identification of COVID-19. It has been established that the various diagnostic tests have been effectively adapted for the detection of SARS-CoV-2; nevertheless, their performance still must be enhanced to contain potential COVID-19 outbreaks, which will also help contain potential infectious agent outbreaks in the future.

PeruNPDB: the Peruvian Natural Products Database for in silico drug screening.

Since the number of drugs based on natural products (NPs) represents a large source of novel pharmacological entities, NPs have acquired significance in drug discovery. Peru is considered a megadiverse country with many endemic species of plants, terrestrial, and marine animals, and microorganisms. NPs databases have a major impact on drug discovery development. For this reason, several countries such as Mexico, Brazil, India, and China have initiatives to assemble and maintain NPs databases that are representative of their diversity and ethnopharmacological usage. We describe the assembly, curation, and chemoinformatic evaluation of the content and coverage in chemical space, as well as the physicochemical attributes and chemical diversity of the initial version of the Peruvian Natural Products Database (PeruNPDB), which contains 280 natural products. Access to PeruNPDB is available for free ( https://perunpdb.com.pe/ ). The PeruNPDB's collection is intended to be used in a variety of tasks, such as virtual screening campaigns against various disease targets or biological endpoints. This emphasizes the significance of biodiversity protection both directly and indirectly on human health.

Accuracy of Diagnostic Tests for the Detection of Chagas Disease: A Systematic Review and Meta-Analysis.

The present systematic review and meta-analysis about the accuracy of diagnostic tests aim to describe the findings of literature over the last thirty years for the diagnosis of Chagas disease (CD). This work aimed to determine the accuracy of diagnostic techniques for CD in the disease's acute and chronic phases. The PubMed database was searched for studies published between 1990 and 2021 on CD diagnostics. Fifty-six published studies that met the criteria were analyzed and included in the meta-analysis, evaluating diagnostic accuracy through sensitivity and specificity. For Enzyme-Linked Immunosorbent Assay (ELISA), Fluorescent Antibody Technique (IFAT), Hemagglutination Test (HmT), Polymerase Chain Reaction (PCR), and Real-Time Polymerase Chain Reaction (qPCR) diagnosis methods, the sensitivity had a median of 99.0%, 78.0%, 75.0%, 76.0%, and 94.0%, respectively; while specificity presented a median of 99.0%, 99.0%, 99.0%, 98.0%, and 98.0%, respectively. This meta-analysis showed that ELISA and qPCR techniques had a higher performance compared to other methods of diagnosing CD in the chronic and acute phases, respectively. It was concluded utilizing the Area Under the Curve restricted to the false positive rates (AUCFPR), that the ELISA diagnostic test presents the highest performance in diagnosing acute and chronic CD, compared to serological and molecular tests. Future studies focusing on new CD diagnostics approaches should be targeted.