Tuberculosis is a disease caused by Mycobacterium tuberculosis, representing the second leading cause of death by an infectious agent worldwide. The available vaccine against this disease has insufficient coverage and variable efficacy, accounting for a high number of cases worldwide. In fact, an estimated third of the world’s population has a latent infection. Therefore, developing new vaccines is crucial to preventing it. In this study, the highly antigenic PE_PGRS49 and PE_PGRS56 proteins were analyzed. These proteins were used for predicting T- and B-cell epitopes and for human leukocyte antigen (HLA) protein binding efficiency. Epitopes GGAGGNGSLSS, FAGAGGQGGLGG, GIGGGTQSATGLG (PE_PGRS49), and GTGWNGGKGDTG (PE_PGRS56) were selected based on their best physicochemical, antigenic, non-allergenic, and non-toxic properties and coupled to HLA I and HLA II structures for in silico assays. A construct with an adjuvant (RS09) plus each epitope joined by GPGPG linkers was designed, and the stability of the HLA-coupled construct was further evaluated by molecular dynamics simulations. Although experimental and in vivo studies are still necessary to ensure its protective effect against the disease, this study shows that the vaccine construct is dynamically stable and potentially effective against tuberculosis.

Traditional microbiological methodology is valuable and essential for microbiota composition description and microbe role assignations at different anatomical sites, including cervical and vaginal tissues; that, combined with molecular biology strategies and modern identification approaches, could give a better perspective of the microbiome under different circumstances. This pilot work aimed to describe the differences in microbiota composition in non-cancer women and women with cervical cancer through a culturomics approach combining culture techniques with Vitek mass spectrometry and 16S rDNA sequencing. To determine the possible differences, diverse statistical, diversity, and multivariate analyses were applied; the results indicated a different microbiota composition between non-cancer women and cervical cancer patients. The Firmicutes phylum dominated the non-cancer (NC) group, whereas the cervical cancer (CC) group was characterized by the predominance of Firmicutes and Proteobacteria phyla; there was a depletion of lactic acid bacteria, an increase in the diversity of anaerobes, and opportunistic and non-typical human microbiota isolates were present. In this context, we hypothesize and propose a model in which microbial composition and dynamics may be essential for maintaining the balance in the cervical microenvironment or can be pro-oncogenesis microenvironmental mediators in a process called Ying-Yang or have a protagonist/antagonist microbiota role.

Zika virus (ZIKV) is an emerging flavivirus that represents significant public health challenges, particularly in the Americas, and is a substantial risk to other parts of the world due to its rapid expansion and its established association with neurological disorders, including Guillain–Barré syndrome and an intrauterine fetal infection that can cause microcephaly, blindness, and other congenital neurological complications. To date, no vaccine to prevent ZIKV infections has been approved. Therefore, developing a safe and effective vaccine against this virus is a global health priority. This review analyzes the ZIKV outbreaks, as well as associated neurological complications, its genome, and immunological responses. The current vaccines in development have reported results from preclinical and clinical trials about novel approaches to obtain safer and more effective vaccines and the challenges faced by ZIKV vaccine development.

Antimicrobial-resistant ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter cloacae) have significantly restricted therapeutic alternatives for critical infections, consequently contributing to increase the severity and mortality of infectious illnesses that represent a significant global health challenge. Vaccination as a preventive measure can be crucial in substantially reducing bacterial infections and is potentially effective against antibiotic-resistant bacteria. This study shows the design of an epitope-based vaccine capable of neutralizing shared antigenic determinants present among the ESKAPE pathogens. The pangenome of the ESKAPE pathogens was analyzed to extract the core proteome. This approach facilitated reverse vaccinology analysis to identify antigenic proteins within this bacterial group. The study revealed similar structures in porins OmpA, OprD, and TolC, as well as the collagen-binding adhesins Acm and Cna. These proteins were then utilized to predict T-cell and B-cell epitopes, selecting those with their best physicochemical properties, antigenicity, non-allergenicity, and lack of toxicity. Additionally, epitopes located on the surface of the antigens and capable of coupling with HLA molecules were prioritized. In this computational approach, we engineered a construct incorporating the adjuvant RS09, a TLR4 agonist, and immunogenic epitopes connected by linkers. We assessed the stability of their interaction with pattern recognition receptors of the immune system through molecular docking and molecular dynamics simulations. The in silico immune simulation demonstrated that the vaccine could trigger humoral and cell-mediated immune responses. The resulting construct potentially represents an effective and safe vaccine candidate to prevent infections caused by the ESKAPE group.