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ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Integrated phenotypic-genotypic characterization of antimicrobial resistance in uropathogens: implications for targeted therapy in a North Indian cohort.

Tanveer Ahmad Mir, Talib Shareef, Showkat Ahmad Lone, Sajad Ahmad Mir, Junaid Ahmad, Bashir Ahmad Ganai

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Tanveer Ahmad MirCentre of Research for Development (CORD), University of Kashmir, Srinagar, J&K, India. mirtanveer162@gmail.com.
Talib ShareefCentre of Research for Development (CORD), University of Kashmir, Srinagar, J&K, India.
Showkat Ahmad LoneVirus Research and Diagnostic Laboratory, Department of Microbiology, Government Medical College, Baramulla, J&K, India.
Sajad Ahmad MirSchool of Physical and Mathematical Sciences (SPMS), Nanyang Technological University, Singapore, Singapore.
Junaid AhmadVirus Research and Diagnostic Laboratory, Department of Microbiology, Government Medical College, Baramulla, J&K, India. dr.junaidahmad786@gmail.com.
Bashir Ahmad GanaiCentre of Research for Development (CORD), University of Kashmir, Srinagar, J&K, India. ganaiba@uok.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTIs) are among the most common bacterial infections globally, increasingly driven by the continous emergence of multidrug-resistant (MDR) uropathogens that complicate empirical therapy. This study employed an integrated phenotypic-genotypic approach to characterize antimicrobial resistance patterns and their therapeutic implications in a high-burden North Indian cohort. A prospective study was conducted from June 2024 to November 2025, including 1140 patients with suspected UTIs. Bacterial isolates were identified from patients with significant bacteriuria using biochemical characterization and 16S rRNA gene sequencing; and antimicrobial susceptibility testing of the isolates was performed according to CLSI 2024 guidelines. Molecular detection of key resistance and virulence determinants was carried out using PCR, and genotype-phenotype concordance was evaluated. Of 1140 samples, 354 showed bacterial growth, with a predominance in females (71.5%). Gram-negative pathogens constituted 68% of the isolates, dominated by Escherichia coli (46%), followed by Klebsiella pneumoniae and Pseudomonas aeruginosa. High resistance to first-line agents, including fluoroquinolones, β-lactams, and co-trimoxazole, was observed, whereas therapeutic efficacy was largely restricted to last-resort agents such as amikacin, fosfomycin, and polymyxin B. Among Gram-positive isolates, linezolid and vancomycin were found to be effective. Molecular analysis revealed a high prevalence of resistance genes, including that of blaCTX-M (in 42.4%), blaTEM (in 39.5%), and carbapenemase gene blaOXA-48 (in 25.4%) of the isolates, indicating widespread ESBL and emerging carbapenemase-mediated resistance. Addationally, aac(6')-Ib (56.5%) and fimH (66%) were also among the most frequently detected genes. Significant genotype-phenotype concordance (p < 0.05) supports the reliability of integrated profiling. These findings highlight the pharmacological challenges posed by MDR uropathogens and underscore the need to incorporate molecular diagnostics into routine workflows to enable precision therapy and strengthen antimicrobial stewardship strategies.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialGram-Negative BacteriaUrinary Tract InfectionsFemaleGenotypeHumansIndiaMaleMicrobial Sensitivity TestsPhenotypeProspective StudiesAnti-Bacterial AgentsAntibiotic resistance genes (ARGs) and multidrug-resistant uropathogensAntimicrobial therapyExtended-spectrum β-lactamase (ESBL)Phenotypic–genotypic profilingUropathogens

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.