The coronavirus disease 2019 (COVID-19) global health crisis, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has presented unprecedented challenges to global healthcare systems, leading to rapid advances in treatment development. This review comprehensively examines the current therapeutic approaches for managing COVID-19, including direct-acting antivirals, immunomodulators, anticoagulants, and adjuvant therapies, as well as emerging and experimental approaches. Direct-acting antivirals target various stages of the viral life cycle, offering specific intervention points, while immunomodulators aim to modulate the host's immune response, reducing disease severity. Anticoagulant therapies address the coagulopathy frequently observed in severe cases, and adjuvant treatments provide supportive care to improve overall outcomes. We also explore the challenges and limitations of implementing these treatments, such as drug resistance, variable patient responses, and access to therapies, especially in resource-limited settings. The review also discusses future perspectives, including the potential of next-generation vaccines, personalized medicine, and global collaboration in shaping future COVID-19 treatment paradigms. Continuous innovation, combined with an integrated and adaptable approach, will be crucial to effectively managing COVID-19 and mitigating the impact of future pandemics.
The gut flora modulates immune responses and influences COVID-19 severity. SARS-CoV-2 disrupts the gut microbiota, causing dysbiosis, increased intestinal permeability, and systemic inflammation and worsening clinical outcomes. Dysbiosis correlates with elevated inflammatory markers, such as CRP and PCT, contributing to severe complications. Studies show that COVID-19 patients have reduced beneficial bacteria, such as Faecalibacterium prausnitzii and Bifidobacterium spp., alongside increased opportunistic pathogens. This review explores how gut microbiota impacts COVID-19 through predictive microbial signatures and immunomodulatory mechanisms. Therapeutic strategies, including probiotics, prebiotics, and fiber-rich diets, may restore microbial balance, reduce inflammation, and support recovery. Additionally, we examine the effects of antiviral and immunomodulatory therapies on the gut microbiota and their role in post-COVID-19 rehabilitation. Understanding the gut-lung axis in SARS-CoV-2 pathogenesis may reveal microbiota-targeted treatments to improve outcomes and prevent complications. As the host organ with the highest microbial diversity, the gut plays a crucial role in viral infections and warrants further research.
28 August 2024 in International Journal of Molecular Biology: Open Access
Antimicrobial α-Hairpinin peptides are sources of bioactive molecules with significant structural diversity and various biological activities. Phaseolus lunatus, known as lima bean, is a plant from the Fabaceae family, native to Central and South America. It is the second most important legume agronomically and economically in tropical regions, after the common bean. Due to its importance, several omics studies have been recently conducted on this species. The research aimed to characterize the antimicrobial peptides of the α-hairpinin family in the lima bean genome by analyzing their physicochemical properties, in silico biological activities, and three-dimensional structure. To this end, α-hairpinin sequences were identified according to the cysteine pattern characteristic of this protein family. After target identification, a search for conserved domains, signal peptides, and subcellular localization was conducted. Molecular mass, isoelectric point, grand average of hydropathicity (GRAVY), and biological activities were also analyzed, and a three-dimensional model of the candidate was generated. Following the mining process, an α-hairpinin sequence from P. lunatus (PlHrp1) was identified. PlHrp1 consisted of 41 amino acids, was predicted to be in the extracellular region, had an isoelectric point of 6.28, a mass of 4.81 kDa, and a gravy of -1.078. The alignment revealed that PlHrp1 contained the 4 conserved cysteine residues. In silico activity analyses demonstrated that PlHrp1 exhibited antifungal and antibacterial activities, with no antiviral activity. The secondary structure displayed two antiparallel α-helices connected by a loop. The model described 94.4% of amino acid residues in favorable positions. This study provides a comprehensive analysis of α-hairpinin peptides in the Phaseolus lunatus genome, highlighting the presence of this peptide family in the lima bean species and offering insights into their potential.
This article reviews the role of bioinformatics approaches in drug discovery from medicinal plants, with an emphasis on the use of computational tools for the analysis of genomic, proteomic, and metabolomic data. These techniques facilitate the screening of bioactive compounds with therapeutic potential, optimizing the identification of new drug candidates. Methods such as molecular docking and molecular modeling are fundamental for predicting interactions between ligands and target proteins, supporting the rational development of new drugs. The article also discusses the importance of metabolic pathway analyses and molecular interaction networks in the selection of promising plant species. The combination of bioinformatics and phytochemistry emerges as a crucial strategy to accelerate the drug discovery process, reducing both costs and development time, with great potential to enhance medical therapies.
The wild olive tree (Olea europaea var. sylvestris) is the ancestor of all olive varieties, displaying remarkable adaptability to diverse climatic conditions and soil types. This iconic tree of the Mediterranean Basin stands out for its ability to withstand environmental stresses, such as water scarcity and temperature variations, playing a crucial role in the ecology, economy, and culture of the region. In this study, 42 TLP genes were characterized in the wild olive tree, distributed across 14 chromosomes and nine scaffolds. In silico analysis revealed the presence of domains associated with antifungal activity in some sequences, indicating their potential role in pathogen resistance. The structural diversity of OeTLP genes was explored through multiple alignments, conserved motifs and phenetic analysis. Correlation was observed between phenetic diversity, genetic structure, and motif patterns, suggesting different functions among OeTLP groups. Additionally, the distribution of exons and introns in the pheneticc tree provided further insights into the evolution of these genes. Comparative modeling of OeTLPs unveiled three-dimensional models with good structural quality and distinctive surface charge characteristics. This study provides a comprehensive understanding of the physicochemical, structural, and phenetic features of TLP genes in Wild Olive, contributing to knowledge about this species' response to environmental stresses and pathogens.