Distribution Patterns and Antibiotic Resistance Profiles of Bacterial Pathogens Among Patients with Wound Infections in the Jiaxing Region from 2021 to 2023.

Purpose: To systematically assess the distribution and antimicrobial susceptibility of pathogens in wound infections, and analyze risk factors associated with multidrug resistance (MDR). Patients and Methods: Retrospectively analyzing Jiaxing-region medical records between January 2021 and December 2023, we identified a cohort of 461 wound infection patients. Cultures were grown on various agars, with bacteria identified via Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry. The antimicrobial susceptibility of the organisms were conducted by VITEK 2 system, Kirby-Bauer disk diffusion method and Epsilometer test. Statistical Package for the Social Sciences (SPSS) version 22 was used for statistical analysis. Multivariable logistic regression models were developed to pinpoint risk factors for multidrug-resistant organism (MDRO) infections and predict occurrences. Results: From 461 patients, 549 bacterial pathogens were isolated, predominantly consisting of Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Acinetobacter baumannii, Enterobacter cloacae, and Enterococcus faecalis. Vancomycin, linezolid, and tigecycline maintained their efficacy against Staphylococcus aureus and Enterococcus species, while Pseudomonas aeruginosa demonstrated sensitivity to aminoglycosides. Conversely, Escherichia coli exhibited high amoxicillin resistance (85.4%). More than half of the isolates were resistant to levofloxacin, ceftriaxone, cotrimoxazole, and gentamicin, with Acinetobacter baumannii strains showing considerable resistance (65.8-68.4%) to advanced cephalosporins and carbapenems. Within this group, 58 MDROs were detected, primarily originating from Burn Plastic Surgery, Emergency, and Intensive Care Unit (ICU) departments. Multivariate logistic regression identified hyperglycemia, hypoalbuminemia, surgery, extended hospitalization, and exposure to multiple antibiotic classes as independent risk factors for MDRO wound infections. Based on these findings, a predictive model for MDRO occurrence in wounds was constructed, which had a sensitivity of 0.627, specificity of 0.933, and an Area Under the Curve (AUC) of 0.838. Conclusion: Staphylococcus aureus and Pseudomonas aeruginosa dominated in wound infections with differential antibiotic resistance. Independent risk factors included hyperglycemia, hypoalbuminemia, surgery, extended hospitalization, and polyantibiotic use. We urge prioritizing culture, susceptibility tests, and personalized antibiotic strategies to address MDRO risks and improve wound infection management specificity and efficacy.

Codon usage bias of human papillomavirus type 33 and 58: A comprehensive analysis.

Cervical cancer is closely linked to specific strains of human papillomavirus (HPV), notably HPV-33 and HPV-58, which exhibit a significant prevalence among women in China. Nevertheless, the codon usage bias in HPV-33 and HPV-58 is not well comprehended. The objective of this research is to analyze the codon usage patterns HPV-33 and HPV-58, pinpoint the primary factors that influence codon preference. The overall preference for codon usage in two HPV genotypes is not significant. Both HPV genotypes exhibit a preference for codons that end with A/U. The GC3 content for HPV-33 is 25.43% ± 0.35%, and for HPV-58, it is 29.44% ± 0.57%. Out of the 26 favored codons in HPV-33 and HPV-58 (relative synonymous codon usage (RSCU) > 1), 25 conclude with A/U. Principal component analysis (PCA) shows a tight clustering of the entire genome sequences of HPV-33 and HPV-58, suggesting a similarity in their RSCU preferences. Moreover, an examination of dinucleotide abundance indicated that translation selection influenced the development of a distinctive dinucleotide usage pattern in HPV-33 and HPV-58. Additionally, a combined analysis involving an effective number of codons plot, parity rule 2, and neutrality analysis demonstrated that, for HPV-33 and HPV-58, the primary determinant influencing codon usage preference is natural selection. HPV-33 and HPV-58 exhibit a restricted set of favored codons in common with humans, potentially mitigating competition for translation resources. Our discoveries could provide valuable perspectives on the evolutionary patterns and codon usage preferences of HPV-33 and HPV-58 viruses, contributing to the development and application of relevant HPV subtype vaccines.

[Analysis of genetic variation for a child affected with congenital insensitivity to pain with anhidrosis and albinism by whole genome sequencing].

OBJECTIVE: To explore the genetic variation of a Chinese family affected with congenital insensitivity to pain with anhidrosis and albinism. METHODS: Whole exome sequencing (WES) was carried out to screen potential variants within genomic DNA extracted from the proband and his parents. Whole genome sequencing (WGS) was applied when variants were not found completely. Suspected variants were validated by Sanger sequencing. RESULTS: WES has identified a heterozygous c.1729G>C (p.G577R) variant of NTRK1 gene and two heterozygous variants of OCA2 gene, namely c.1363A>G (p.R455G) and c.1182+1G>A. WGS has identified two additional heterozygous variants c.(851-798C>T; 851-794C>G) in deep intronic regions of the NTRK1 gene. CONCLUSION: The compound heterozygous variants of the NTRK1 gene probably underlay the congenital insensitivity to pain with anhidrosis. And the compound heterozygous variants of the OCA2 gene probably underlay the albinism in the proband. In the case where no variant is detected by WES in the coding region, WGS should be considered to screen potential variants in the whole genome.