Genetic and Structural Basis of Colistin Resistance in Klebsiella pneumoniae: Unraveling the Molecular Mechanisms.

BACKGROUND: Antimicrobial Antimicrobial resistance (AMR), together with multi-drug resistant (MDR), mainly among Gram-negative bacteria, has been on the rise. Colistin (polymyxin E) remains one of the primary available last resorts to treat infections by MDR bacteria with the rapid emergence of global resistance. OBJECTIVES: Since the exact mechanism of bacterial resistance to colistin remains unfolded, this study warranted elucidating the underlying mechanism of colistin resistance and heteroresistance among carbapenem-resistant (CR) Klebsiella pneumoniae isolates. METHODS: Molecular analysis was carried out on the resistant isolates using a genome-wide characterization approach, and MALDI-TOF MS for lipid A. RESULTS: Among the 32 CR K. pneumoniae isolates, several isolates showed resistance and intermediate resistance, to colistin. The seven isolates with intermediate resistance exhibited the "skip-well" phenomenon, attributed to the presence of resistant subpopulations. The three isolates with full resistance to colistin showed ions using MALDI-TOF MS at m/z 1840 and 1824 representing bisphosphorylated and hexaacylated lipid A with or without hydroxylation, at position C'-2 of the fatty acyl chain, respectively. Studying the genetic environment of mgrB locus revealed the presence of insertion sequences that disrupted the mgrB locus in the three colistin resistant isolates: IS1R and IS903B. CONCLUSIONS: Our findings showed that colistin resistance/heteroresistance was inducible with mutations in chromosomal regulatory networks controlling lipid A moiety and IS sequences disrupting the mgrB gene, leading to elevated MIC values and treatment failure. Different treatment strategies should be employed to avoid colistin heteroresistance-linked treatment failures, mainly through combination therapy using colistin with carbapenems, aminoglycosides, or tigecycline.

Tracking SARS-CoV-2 variants during the 2023 flu season and beyond in Lebanon.

BACKGROUND: Early SARS-CoV-2 variant detection relies on testing and genomic surveillance. The Omicron variant (B.1.1.529) has quickly become the dominant type among the previous circulating variants worldwide. Several subvariants have emerged exhibiting greater infectivity and immune evasion. In this study we aimed at studying the prevalence of the Omicron subvariants during the flu season and beyond in Lebanon through genomic screening and at determining the overall standing and trajectory of the pandemic in the country. METHODS: A total of 155 SARS-CoV-2 RNA samples were sequenced, using Nanopore sequencing technology. RESULTS: Nanopore sequencing of 155 genomes revealed their distribution over 39 Omicron variants. XBB.1.5 (23.29 %) was the most common, followed by XBB.1.9.1 (10.96 %) and XBB.1.42 (7.5 %). The first batch collected between September and November 2022, included the BA.2.75.2, BA.5.2, BA.5.2.20, BA.5.2.25 and BQ.1.1.5 lineages. Between December 2022 and January 2023, those lineages were replaced by BA.2.75.5, BN.1, BN.1.4, BQ.1, BQ.1.1, BQ.1.1.23, CH.1.1, CM.4 and XBK. Starting February 2023, we observed a gradual emergence and dominance of the recombinant XBB and its sub-lineages (XBB.1, XBB.1.5, XBB.1.5.2, XBB.1.5.3, XBB.1.9, XBB.1.9.1, XBB.1.9.2, XBB.1.16, XBB.1.22 and XBB.1.42). CONCLUSIONS: The timely detection and characterization of SARS-CoV-2 variants is important to reduce transmission through established disease control measures and to avoid introductions into animal populations that could lead to serious public health implications.

SARS-CoV-2 genomic epidemiology: data and sequencing infrastructure.

Background: Genomic surveillance of SARS-CoV-2 is critical in monitoring viral lineages. Available data reveal a significant gap between low- and middle-income countries and the rest of the world. Methods: The SARS-CoV-2 sequencing costs using the Oxford Nanopore MinION device and hardware prices for data computation in Lebanon were estimated and compared with those in developed countries. SARS-CoV-2 genomes deposited on the Global Initiative on Sharing All Influenza Data per 1000 COVID-19 cases were determined per country. Results: Sequencing costs in Lebanon were significantly higher compared with those in developed countries. Low- and middle-income countries showed limited sequencing capabilities linked to the lack of support, high prices, long delivery delays and limited availability of trained personnel. Conclusion: The authors recommend the mobilization of funds to develop whole-genome sequencing-based surveillance platforms and the implementation of genomic epidemiology to better identify and track outbreaks, leading to appropriate and mindful interventions.

Lebanon and other low- and middle-income countries have limited sequencing capabilities. Sequencing costs using MinION in Lebanon were higher than the approximate sequencing costs in developed countries. The challenges faced by low- and middle-income countries include lack of support, few established sequencing facilities, high prices, long delivery delays and the limited availability of trained personnel. There is a need to focus on the development of whole-genome sequencing-based surveillance platforms and the implementation of genomic epidemiology to improve sequencing efforts in many resource-limited settings and to contain and prevent future pandemic-level outbreaks.