Antimicrobial Effect of Diphenyl Ditelluride (PhTe) in a Model of Infection by in .

Diphenyl ditelluride (PhTe), an organotelluric compound with pharmacological and toxicological attributes, has shown promise in microorganism studies. , an alternative animal model, is gaining popularity for novel antimicrobial research due to its cost-effectiveness, versatility, and similarity to vertebrate models. Given the rising antibiotic resistance, particularly in (), the exploration of novel antimicrobials is of utmost importance.

Differential domains and endoproteolytic processing in dominant surface proteins of unknown function from and .

causes porcine enzootic pneumonia (PEP), a chronic respiratory disease that leads to severe economic losses in the pig industry. Swine infection and PEP development depend on the adhesion of the pathogen to the swine respiratory tract and the host immune response, but these and other disease determinants are not fully understood. For instance, has a large repertoire of proteins of unknown function (PUFs) and some of them are abundant in the cell surface, where they likely mediate so far unknown pathogen-host interactions.

Urinary endogenous peptides as biomarkers for prostate cancer.

Prostate cancer (PCa) is one of the most prevalent types of cancer in men worldwide; however, the main diagnostic tests available for PCa have limitations and a biopsy is required for histopathological confirmation of the disease. Prostate-specific antigen (PSA) is the main biomarker used for the early detection of PCa, but an elevated serum concentration is not cancer-specific. Therefore, there is a need for the discovery of new non-invasive biomarkers that can accurately diagnose PCa.

Variant predictions in congenital adrenal hyperplasia caused by mutations in CYP21A2.

CYP21A2 deficiency represents 95% of congenital adrenal hyperplasia (CAH) cases, a group of genetic disorders that affect steroid biosynthesis. The genetic and functional analysis provide critical tools to elucidate complex CAH cases. One of the most accessible tools to infer the pathogenicity of new variants is prediction.