Characterization and analysis of the bioactivity of the Piper rivinoides Kunth essential oil and its components myristicin and elemicin, against opportunistic fungal pathogens.

Candidiasis is an infectious disease caused by some fungi of the genus Candida. In Brazil, the incidence rate is higher than in European countries and the United States, and health problems occur mainly due to the virulence factors of the fungi, which have made treatment with commercial drugs difficult. Considering the context, plants rich in phenolic compounds, such as those of the genus Piper, have been studied due to their antimicrobial properties.

Unraveling the Complexity of Chikungunya Virus Infection Immunological and Genetic Insights in Acute and Chronic Patients.

: The chikungunya virus (CHIKV), transmitted by infected Aedes mosquitoes, has caused a significant number of infections worldwide. In Brazil, the emergence of the CHIKV-ECSA genotype in 2014 posed a major public health challenge due to its association with more severe symptoms. : This study aimed to shed new light on the host immune response by examining the whole-blood transcriptomic profile of both CHIKV-acute and chronically infected individuals from Feira de Santana, Bahia, Brazil, a region heavily affected by CHIKV, Dengue, and Zika virus epidemics.

Dynamics and ecology of a multi-stage expansion of Oropouche virus in Brazil.

In March 2024, the Pan American Health Organization (PAHO) issued an alert in response to a rapid increase in Oropouche fever cases across South America. Brazil has been particularly affected, reporting a novel reassortant lineage of the Oropouche virus (OROV) and expansion to previously non-endemic areas beyond the Amazon Basin. Utilising phylogeographic approaches, we reveal a multi-scale expansion process with both short and long-distance dispersal events, and diffusion velocities in line with human-mediated jumps.

Proteomic Signature of Body Mass Index and Risk of Type 2 Diabetes.

The obesity diagnosis by body mass index (BMI) exhibits considerable interindividual heterogeneity in metabolic phenotypes and risk of developing type 2 diabetes (T2D). We investigated the association of proteomic signature of BMI and T2D and examined whether the proteomic signature of BMI improves prediction of T2D risk. This study included 41,427 adults in the UK Biobank who were free of T2D at baseline and had complete data on proteomics metrics assessed by antibody based Olink assay.