RESUMO
Background: Otitis externa and otitis media are two types of ear infections that affect people of all ages, although they are more common in newborns and young children. Antibiotic usage, healthcare, and advanced age all play a role in the development of this illness. Methods: Fifty-eight patients with various kinds of infections of the ears were voluntary patients attending the outpatient clinics of the Prince Mutaib Bin Abdulaziz Hospital in Sakaka, Al Jouf, Saudi Arabia, examined to evaluate the role of bacteria and the likely significance of plasmids in their antibiotic resistance as ear infectious agents. Results: Staphylococcus aureus and Pseudomonas aeruginosa are the most prevalent bacteria found in ear infections. The greatest number of major bacterial isolates were S. aureus (54%), followed by P. aeruginosa (13%), whereas a smaller number of isolates (3%) were from Streptococcus pyogenes, Bacillus subtilis, and Proteus vulgaris, respectively. Mixed growth was noted in 3.4% of instances. The isolation rate for Gram-positive organisms was 72%, while the rate for Gram-negative species was 28%. All the isolates had DNA greater than 14 kilobases. Hind III analysis of the plasmid DNA extracted from the resistant strains of ear infection demonstrated that antibiotic-resistance plasmids were extensively dispersed. Exotoxin A PCR amplification indicated 396 pb PCR-positive DNA for all identified samples, with the exception of three strains for which no band was observed. Patients in the epidemiological study ranged in number, but all were linked together for the purposes of the study because of their shared epidemiological characteristics. Conclusion: Vancomycin, linezolid, tigecycline, rifampin, and daptomycin are all antibiotics that have been shown to be effective against S. aureus and P. aeruginosa. Microbiological pattern evaluation and antibiotic sensitivity patterns of the microorganisms providing empirical antibiotics are becoming increasingly crucial to minimize issues and the development of antibiotic-resistant strains.
RESUMO
Breast cancer is the leading cause of cancer-related mortality. DNA methylations play important roles in cancer development and progression. Formal concept analysis was previously utilized for data mining hypermethylated and hypomethylated genes in breast cancer molecular subtypes in illumina methylation-based microarray database, to laboratory validate their outputs; HS3ST2 (heparan sulfate d-glucosaminyl 3-O-sulfonyl transferase-2) and MUC1 (mucin-1) were retrieved. Both play important roles in progression and invasion of breast cancer. The methylation status of both genes was laboratory validated using methylation-based polymerase chain reaction in breast cancer subtypes luminal A (early stages) and luminal B (late stages) in comparison with benign conditions and normal breast to conclude their roles in tumor invasion and to validate the newly developed algorithm (formal concept analysis). Significant cancer-specific hypermethylation of HS3ST2 was detected in luminal B (chi square = 30.6, p = 0.000), while significant cancer-specific hypomethylation of MUC1 was detected in luminal B (chi square = 30.5, p = 0.001) breast cancer. The median levels of the percentage of methylated allele of both genes were significantly discriminative between luminal A and luminal B subtypes and benign and healthy control groups. Detection of MUC1 and HS3ST2 promoter methylation status appears to be useful molecular markers for assessing the progressive state of the disease and could be helpful in discriminating breast cancer molecular subtypes. These results validate the methylation-based microarray analysis, thus trust their output in the future.
