• Aanand S Nair
• S Jayakrishnan
• K Sukesh

Chronic non-healing wounds, including diabetic foot ulcers, pressure ulcers, and surgical site infections, pose a significant clinical challenge due to their persistent microbial colonization and rising antimicrobial resistance. In this study, 56 samples from such wounds were subjected to next-generation sequencing using the Oxford Nanopore GridION platform. Dominant pathogens included Pseudomonas aeruginosa, Staphylococcus aureus, Acinetobacter baumannii, Enterococcus faecalis, and Klebsiella pneumoniae. Key resistance genes detected were mecA, vanA, blaOXA-23, and blaCTX-M-15. The results revealed polymicrobial communities with notable resistance determinants, underscoring the limitations of culture-dependent methods. This study highlights the clinical utility of metagenomic profiling for pathogen detection and resistance prediction. NGS tools offer enhanced diagnostic accuracy, facilitating targeted antimicrobial therapy and better infection control strategies in chronic wound care.

Chronic Wounds, Next-Generation Sequencing, Antimicrobial Resistance, Gridion, Metagenomics

"Microbial Profiling and Resistance Patterns in Chronic Non-Healing Wounds Using Next Generation Sequencing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.c200-c205, November-2025, Available :http://www.jetir.org/papers/JETIR2511224.pdf

"Microbial Profiling and Resistance Patterns in Chronic Non-Healing Wounds Using Next Generation Sequencing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppc200-c205, November-2025, Available at : http://www.jetir.org/papers/JETIR2511224.pdf