Mining the nanotube-forming Bacillus amyloliquefaciens MR14M3 genome for determining anti-Candida auris and anti-Candida albicans potential by pathogenicity and comparative genomics analysis

There is a global health concern associated with the emergence of the multidrug-resistant (MDR) fungus Candida auris, which has significant mortality rates. Finding innovative and distinctive anti-Candida compounds is essential for treating infections caused by MDR C. auris. A bacterial strain with anti-Candida activity was isolated and identified using 16 S rRNA gene sequencing. The whole genome was sequenced to identify biosynthesis-related gene clusters. The pathogenicity and cytotoxicity of the isolate were analyzed in Candida and HFF-1 cell lines, respectively. This study set out to show that whole-genome sequencing, cytotoxicity testing, and pathogenicity analysis combined with genome mining and comparative genomics can successfully identify biosynthesis-related gene clusters in native bacterial isolates that encode antifungal natural compounds active against Candida albicans and C. auris. The native isolate MR14M3 has the ability to inhibit C. auris (zone of inhibition 25 mm) and C. albicans (zone of inhibition 25 mm). The 16 S rRNA gene sequence of MR14M3 aligned with Bacillus amyloliquefaciens with similarity (100%). Bacillus amyloliquefaciens MR14M3 establishes bridges of intercellular nanotubes (L 258.56 ± 35.83 nm; W 25.32 ± 6.09 nm) connecting neighboring cells. Candida cell size was reduced significantly, and crushed phenotypes were observed upon treatment with the defused metabolites of B. amyloliquefaciens MR14M3. Furthermore, the pathogenicity of B. amyloliquefaciens MR14M3 on Candida cells was observed through cell membrane disruption and lysed yeast cells. The whole-genome alignment of the MR14M3 genome (3981,643 bp) using 100 genes confirmed its affiliation with Bacillus amyloliquefaciens. Genome mining analysis revealed that MR14M3-coded secondary metabolites are involved in the biosynthesis of polyketides (PKs) and nonribosomal peptide synthases (NRPSs), including 11 biosynthesis-related gene clusters with one hundred percent similarity. Highly conserved biosynthesis-related gene clusters with anti-C. albicans and anti-C. auris potentials and cytotoxic-free activity of B. amyloliquefaciens MR14M3 proposes the utilization of Bacillus amyloliquefaciens MR14M3 as a biofactory for an anti-Candida auris and anti-C. albicans compound synthesizer.

Depression: a predictor of coronary heart disease in Saudi Arabia

Aims and Objectives: This research study mainly deals to evaluate the effect of depression in coronary heart disease patients. Background: Depression is one of the common comorbidity among patients presented with acute coronary syndrome or those with major cardiovascular event. Depression has been independently associated or lead to acute cardiac events in patients. Method: The study was conducted from three months followed-up patients with recent diagnosed coronary heart disease and they getting treatment from cardiac centres “Armed Forces Hospitals. Depression was evaluated by using 17-item Hamilton Rating Scale and the cardiac outcome was assessed clinically by echo parameters and cardiac biomarkers such as C-reactive Protein. The data were analysis by SPSS version 23. Results: In this study 83 patients were part of this research. The patients had been picked up from range 18-65 year in which mostly patients were male (75%) than female (25%). Among 83 coronary heart disease patients 29.5% were suffering from depression while 19.5% were on severity. The deterioration factor was significantly influence by depression and smoking. Conclusion: Depression has a great impact on deterioration of the cardiac outcomes. It can serve as a predictive variable for future cardiological morbidity and mortality.