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Bernabeu-Gimeno, M.

Publications and source records attributed to Bernabeu-Gimeno, M..

2 recordsLinked to original sources

Lipid metabolic pathways determine phage infectivity in Mycobacterium abscessus

Mycobacterium abscessus is a rapidly growing non-tuberculous mycobacterium with high intrinsic antibiotic resistance, requiring innovative therapeutics. During infection, smooth and rough colony morphotypes can coexist in the human body, participating in the pathogenesis. Despite its increasing clinical importance and phage therapy being a last resort treatment recently, the genetic basis of phage interaction in M. abscessus remains poorly understood. Previous work has focused largely on rough strains or the surrogate host Mycobacterium smegmatis. Here, we isolated novel phages that efficiently infect both morphotypes, allowing us to characterize phage-resistant mutants from paired smooth and rough clinical isolates to determine the genetic basis of the infectivity. Integrating whole-genome sequencing, transcriptomics, and phage susceptibility and adsorption assays, we deeply analyzed 30 phage-resistant variants and found that resistance trajectories were shaped primarily by host morphotype rather than by the selecting phage. We confirmed the TPP locus as a conserved determinant of phage infection in both morphotypes and identified previously undescribed hotspot mutations in furB and nrnA, together with a multi-gene deletion, in smooth-derived resistant variants. Whereas the TPP locus and the multi-gene deletion represent stable genomic changes affecting lipid-associated loci, frameshift mutations in furB and nrnA, not previously linked to lipid metabolism, were accompanied by broad transcriptional rewiring of lipid-related genes. Resistance was mutation-dependent and consistently associated with impaired phage adsorption, indicating an early block in infection. Together, these findings show that phage recognition in M. abscessus is shaped by mycomembrane lipid architecture rather than a single dedicated receptor and uncover regulatory and metabolic pathways with implications for more durable phage-based therapies.

microbiology↗

Targeted phage hunting to specific Klebsiella pneumoniae clinical isolates is an efficient antibiotic resistance and infection control strategy

Klebsiella pneumoniae is one of the most threatening multi-drug resistant pathogens today, with phage therapy being a promising alternative for personalized treatments. However, the intrinsic capsule diversity in Klebsiella spp. poses a substantial barrier to phage host range, complicating the development of broad-spectrum phage-based treatments. Here, we have isolated and genomically characterized phages capable of infecting each of the acquired 77 reference serotypes of Klebsiella spp., including capsular types widespread among high-risk K. pneumoniae clones causing nosocomial infections. We demonstrated the possibility of isolating phages for all capsular types in the collection, revealing high capsular specificity among taxonomically related phages, in contrast to a few phages that exhibited broad-spectrum infection capabilities. To decipher the determinants of the specificity of these phages, we focused on their receptor-binding proteins, with particular attention to depolymerase domains. We also explored the possibility of designing a broad-spectrum phage cocktail based on phages isolated in reference capsular type strains, and determining the ability to lysate relevant clinical isolates. Interestingly, a combination of 12 phages capable of infecting 60% of the reference Klebsiella spp. serotypes was tested on a panel of carbapenem-resistant K. pneumoniae clinical isolates. Our results suggest that in a highly variable encapsulated bacterial host, phage hunting must be directed to the specific Klebsiella isolates. This work is a step forward in the understanding of the complexity of phage-host interactions, and highlights the importance of implementing precise and phage-specific strategies to treat K. pneumoniae infections worldwide.

microbiology↗