Heavy metal co-resistance with antibiotics appears to be synergistic in bacterial isolates via similar mechanisms. This synergy has the potential to amplify antibiotics resistance genes in the environment which can be transferred into clinical settings. The aim of this study was to assess the co-resistance of heavy metals with antibiotics in bacteria from dumpsite in addition to physicochemical analysis. Sample collection, physicochemical analysis, and enumeration of total heterotrophic bacteria counts (THBC) were all carried out using standard existing protocols. Identified bacteria isolates were subjected to antibiotics sensitivity test using the Kirby Bauer disc diffusion technique and the resulting multidrug resistant (MDR) isolates were subjected to heavy metal tolerance test using agar dilution technique with increasing concentrations (50, 100, 150, 200 and to 250 μg/ml) of our study heavy metals. THBC ranged from 6.68 to 7.92 × 10⁵ cfu/g. Out of the 20 isolates subjected to antibiotics sensitivity, 50% (n = 10) showed multiple drug resistance and these were B. subtilis, B. cereus, C. freundii, P. aeruginosa, Enterobacter sp, and E. coli (n = 5). At the lowest concentration (50 μg/ml), all the MDR isolates tolerated all the heavy metals, but at 250 μg/ml, apart from cadmium and lead, all test isolates were 100% sensitive to chromium, vanadium and cobalt. The control isolate was only resistant to cobalt and chromium at 50 μg/ml, but sensitive to other heavy metals at all concentrations The level of co-resistance shown by these isolates is a call for concern.

Background: Staphylococcus aureus has prevailed against the majority of antibiotics currently in clinical use, making it a significant global public health problem. As a safer alternative, bioactive compounds have been explored. Annona muricata has been shown to possess antimicrobial activity. However, there are few reports on the molecular activity of A. muricata bioactive compounds against S. aureus. Thus, this study was aimed at evaluating the antimicrobial activity of its crude extract as well as investigating the potential of its bioactive compounds against the Cap5O capsular polysaccharides (CPS) of S. aureus via molecular docking. Methods: Collection of plant leaves, preparation of extracts, anti-nutrient analysis, phytochemical screening via crude method and gas chromatography-mass spectrophotometer (GC-MS), isolation and characterization of S. aureus and the antimicrobial activity test were all done using standard protocols. Molecular docking was done using the MCULE online tool with emphasis on docking scores, toxicity, and other properties. Results: Crude screening of the extracts showed the presence of polyphenols, hydroxyanthraquinones, reducing compounds, flavonoids, saponins, glycosides, alkaloids, anthraquinones, phlobatannins and tannins in different concentrations. Anti-nutrient analysis showed the presence of allowable levels of evaluated anti-nutrients. GC-MS revealed a total of twenty-nine (29) bioactive compounds, out of which only 4 (13.80%) docked without toxicity and these were bicyclo[4.1.0]heptan-2-one 6-methyl, trichloromethane, carbonic acid 2-dimethylaminoethyl propyl ester, and 1-methyl-4-phenyl-5-thioxo-1,2,4-triazolidin-3-one on either the NAD-binding or C-terminal substrate binding domain of Cap5O. Conclusion: Results obtained show that Cap5O could be a potential drug target for multi-drug resistant S. aureus, however, further studies aimed at evaluating these bioactive compounds individually and in combination are highly needed.

Traditional microbiology based on the culture of microorganisms has been the mainstay of microbiology for over a century and has contributed immensely to what we now know about the harmful and beneficial roles of microorganisms. However, it has a number of limitations that has hampered the full utilization of the non-culturable majority in various ecosystems. Metagenomics is a technique that bypasses the need to culture microorganisms from various samples. Unarguably, it is one of the few powerful techniques that have revolutionized every aspect of molecular biology, microbiology, microbial ecology and even beyond. Although still in its infancy, metagenomics have far reaching applications already in medicine and health care, biotechnology, environmental microbiology, bioprospecting for new products of biological origin, discovery of functional genes, evolution, to mention just a few. The various steps involved in metagenomics from sampling to sequencing have all been shown to affect the overall diversity of the sampled ecosystem. An ideal methodology should be one that produces a fair representation of the community sampled. The rapid progress in sequencing technologies has forced its cost down per sample. This has lead to a drastic increase in the number of research projects using sequencing technologies, and databases that can store, analyse and allow retrieval of metagenomics data. With this pace of growth, we will certainly see many putative genes, proteins and pathways come alive, and also witness a number of paradigm shifts in some key concepts in traditional microbiology like taxonomy and microbial physiology.

The tumor-suppressing p-53 binding protein is a crucial protein that is involved in the prevention of cancer via its regulatory effect on a number of cellular processes. Recent evidence indicates that it interacts with a number of other proteins involved in cancer in ways that are not fully understood. An understanding of such interactions could provide insights into novel ways p53 further exerts its tumour prevention role via its interactions with diverse proteins. Thus, this study aimed to examine the interactions of the p53 protein with other proteins (peptides and histones) using molecular simulation dynamics. We opted for a total of seven proteins, namely 2LVM, 2MWO, 2MWP, 4CRI, 4 × 34, 5Z78, and 6MYO (control), and had their PBD files retrieved from the protein database. These proteins were then docked against the p-53 protein and the resulting interactions were examined using molecular docking simulations run at 500 ns. The result of the interactions revealed the utilisation of various amino acids in the process. The peptide that interacted with the highest number of amino acids was 5Z78 and these were Lys10, Gly21, Trp24, Pro105, His106, and Arg107, indicating a stronger interaction. The RMSD and RMSF values indicate that the complexes formed were stable, with 4CRI, 6MYO, and 2G3R giving the most stable values (less than 2.5 Å). Other parameters, including the SASA, Rg, and number of hydrogen bonds, all indicated the formation of fairly stable complexes. Our study indicates that overall, the interactions of 53BP1 with p53K370me2, p53K382me2, methylated K810 Rb, p53K381acK382me2, and tudor-interacting repair regulator protein indicated interactions that were not as strong as those with the histone protein. Thus, it could be that P53 may mediate its tumour suppressing effect via interactions with amino acids and histone.

Despite decades of research on highly pathogenic avian influenza, especially H5N1, an understanding of the impact of research outputs on policy, the impact of funding and policies, collaboration between authors, and other bibliometric measurable indices is elusive. H5N1 research data were retrieved from the PubMed database using "H5N1", "highly pathogenic", and "influenza" as keywords, and combined with the Boolean operator, "OR". The evaluated growth pattern of H5N1 research was analysed using Microsoft Excel, while the VOS viewer window version 1.6.15 was utilized in analyzing the keywords, authors' inputs, and collaborations amongst research institutes/universities involved in H5N1 research. A total of 8,411 articles published within 2003 and 2023 were retrieved. The trend of the published articles indicates that 2003 to 2004 had the lowest number of articles, while the highest were observed for 2009 and 2010. Since then, there has been a gradual decline. The most dominant article type was original research article (89.80%), followed by reviews with 7.54%. The most productive countries were Japan, the United States of America, China, and Egypt in Africa. The top 15 authors accounted for 12.40% of the total published data. Keywords analysis revealed the emergence of newer keywords such as H5N8, wild birds, mammals, and Nigeria; however, as expected, influenza virus avian H5N1 subtype was the dominant keyword. Research institutes with backgrounds in agriculture and veterinary medicine dominated the top 15 organizations involved in H5N1 research. Our findings suggest that research aimed at developing therapeutics and vaccines, as well as continuous surveillance in high-risk areas is urgently needed. Furthermore, the findings provide baseline data for all the stakeholders involved in H5N1 research, which could inform future research, funding, and policies.