Multi-Omics Analysis of Wound Microbiome and Staphylococcus aureus in Pressure Ulcer
Guo, C.; Jiang, G.; Li, Y.; Zhao, J.; Ji, L.; Li, S.; Li, H.; Zhou, Z.; Xie, E.
Show abstract
This study employs a multi-omics approach to investigate the wound microbiome and Staphylococcus aureus in pressure ulcers. Metagenomic sequencing and associated technologies were utilized to examine bacterial populations, identify dominant species, and study biofilm formation in S. aureus through metabolomic and proteomic characteristics. The results revealed a significant reduction in microbial diversity in pressure ulcer samples compared to controls, with Staphylococcus, Corynebacterium, and Klebsiella being the most prevalent genera. Functional prediction analysis indicated differences in pathogenic invasiveness and biofilm formation factors among the groups. The presence of antimicrobial resistance genes was higher in the pressure ulcer group, particularly in Staphylococcus spp. strains. Whole-genome sequencing of 29 S. aureus isolates identified various clonal complexes and spa types, with the majority possessing genes conferring resistance to {beta}-lactam antimicrobials and virulence factors. Histopathological examination and fluorescent in situ hybridization confirmed the presence of S. aureus in biofilm structures. In vitro biofilm formation tests and metabolomic and proteomic analyses provided insights into the interactions between S. aureus strains and their biofilm formation, revealing enriched pathways related to metabolic processes and membrane composition. This research offers a scientific foundation for understanding the colonization patterns of S. aureus biofilms in pressure ulcer wounds.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Effects of four antibiotics on the diversity of the intestinal microbiota 95%
- Molecular basis and evolutionary cost of a novel phenotype of macrolides/lincosamides resistance in Staphylococcus haemolyticus 95%
- Emodin Combined with Multiple Low-frequency Low-intensity Ultrasound to Relieve Osteomyelitis Through Sonoantimicrobial Chemotherapy 94%
Similar papers in this journal
- Restriction of the growth and biofilm formation of ESKAPE pathogens by caprine gut-derived probiotic bacteria 96%
- Phage-Derived Depolymerase as an Antibiotic Adjuvant Against Multidrug-Resistant Acinetobacter Baumannii 95%
- Correlation of pathogenic factors with antimicrobial resistance of clinical Proteus mirabilis strains 95%
Similar papers in this journal
- Identification and predictive machine learning models construction of gut microbiota associated with lymph node metastasis in colorectal cancer 95%
- Comparison of transcriptional responses and metabolic alterations in three multidrug resistant model microorganisms, Staphylococcus aureus ATCC BAA-39, Escherichia coli ATCC BAA-196 and Acinetobacter baumannii ATCC BAA-1790, on exposure to iodine-containing nano-micelle drug FS-1 94%
- Reduced virulence and enhanced host adaption during antibiotics therapy: A story of a within-host carbapenem-resistant Klebsiella pneumoniae sequence type 11 evolution in a fatal scrotal abscess patient 94%
Similar papers in this journal
- Strain variation in Bacillus cereus biofilms and their susceptibility to extracellular matrix-degrading enzymes 95%
- Effects of enhanced insect feeding on the faecal microbiota and transcriptome of a family of captive common marmosets (Callithrix jacchus) 94%
- One year cross-sectional study in adult and neonatal intensive care units reveals the bacterial and antimicrobial resistance genes profiles in patients and hospital surfaces 94%
Similar papers in this journal
- A model, mixed-species urinary catheter biofilm derived from spinal cord injury patients 95%
- Characterization of Staphylococcus lugdunensis biofilm reveals key differences according to clonal lineage and iron availability 95%
- Milieu matters: An in vitro wound milieu to recapitulate key features of, and probe new insights into, polymicrobial biofilms 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.