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Blomberg, B.

Publications and source records attributed to Blomberg, B..

6 recordsLinked to original sources

Learning and forecasting shared evolutionary pathways to multi-drug resistance across global pathogens

Infections with bacteria which have evolved multi-drug resistance (MDR) cause millions of deaths worldwide. Large-scale efforts are gathering genotypic and phenotypic data on MDR bacteria, but methods for learning the structure, diversity, and predictors of evolutionary pathways to MDR have yet to take full advantage of these data. Here, we use evolutionary accumulation modelling (EvAM), an emerging class of machine learning methods with roots in cancer progression, to infer these evolutionary pathways across ESKAPEE pathogens (seven bacterial species that dominate health burdens), using a database of over 635k genotyped phenotypic observations from around the world. We identify global patterns in MDR evolutionary pathways, remarkably shared across multiple ESKAPEE species. Species-specific deviations from these stereotypical pathways are connected with geographical and demographic covariates, facilitating predictions of future MDR evolution. We verify these predictions with several hundred new phenotypes from ESKAPEE samples spanning decades of clinical infections in sub-Saharan Africa, demonstrating the capacity to forecast future MDR evolution from these inferred shared pathways.

evolutionary biology↗

In vivo de-amplification of a multi-resistance pseudo-compound transposon in Escherichia coli

The rapid expansion of antimicrobial resistance (AMR) among Gram-negative pathogens presents a major clinical challenge, particularly in vulnerable populations such as infants. The dissemination of resistance is often mediated by mobile genetic elements (MGEs) that can mobilise antimicrobial resistance genes (ARGs) both within and between genomes. The insertion sequence (IS) IS26, is a MGE with the ability to replicate itself and associated ARGs, create translocatable units (TU), and produce tandem arrays of ARGs. Here we present the 18-week in vivo evolution of a community-acquired multi-drug resistant (MDR) Escherichia coli colonising an infant gut, characterised by a de-amplification of an IS26-mediated tandem array of ARGs. The hybrid-assembled ancestral and descendant strain genomes show an evolutionary rate of 10.22 SNPs per genome per year. Independent analysis of the hybrid genome assembly, and of Oxford Nanopore Technologies (ONT) and Illumina read-mapping support the existence of at least five copies of a TU (Tn3-like(tnpA)-tetR-tetA-yedA-{Delta}Tn1721(tnpA) -IS26-aac(6)-Ib-cr-blaOXA-1-{Delta}catB3-IS26) in the ancestor and only one in the descendant. Despite de-amplification, no change in fitness (p = 0.275) and piperacillin-tazobactam susceptibility (TZP) was observed. In contrast, gentamicin susceptibility increased, in the absence of known associated mutations. This study provides insight into IS26-mobility dynamics in vivo and their implications for AMR, within the rapidly changing environment of the neonatal gut.

microbiology↗

Global diversity, predictors, and predictions of AMR evolutionary pathways in Klebsiella pneumoniae

Antimicrobial resistance (AMR) is a substantial and growing global health burden. Understanding, and predicting, its evolution in specific pathogens will help responses across scales from individual patient cases to large-scale policy. Here, we use global data on AMR features, predicted from 47k Klebsiella pneumoniae genomes, with hypercubic transition path sampling to infer the evolutionary pathways by which AMR features in K. pneumoniae (KpAMR) are acquired across 102 countries, territories and areas. We identify "globally consistent" evolutionary behaviours that hold across countries, and "globally divergent" behaviours including carbapenem and fluoroquinolone resistance that vary across countries. We show how these divergent dynamics covary both with public health superregion and drug use policy, and reveal competing evolutionary pathways within and between countries. Using newly-sequenced data across several decades from sub-Saharan Africa, we show that this inferred global roadmap of KpAMR evolution successfully predicts prospective evolutionary dynamics. Together, we hope that the ability to characterize and predict evolutionary dynamics of AMR acquisition, connected to socio-economic and drug policy predictors, will help strengthen our understanding of AMR evolution worldwide. SignificanceAntimicrobial resistance (AMR) occurs when microbial pathogens evolve resistance to the drugs we use to treat them. Our understanding of bacterial genomes and how they confer AMR is constantly expanding through beautiful and powerful work establishing large-scale global datasets. Here, we use emerging machine learning approaches with this genomic data to reveal the evolutionary dynamics that have generated AMR characters in a particular pathogen, Klebsiella pneumoniae (Kp), and how these dynamics are influenced by geography and drug use across the globe. This "natural history" of AMR in Kp makes predictions about which characters will evolve next for a given bacterium, and we validate these predictions with newly-sequenced data from clinical isolates from Africa, providing both past and prospective descriptions of AMR in Kp.

evolutionary biology↗

Metabolic reprogramming of the infant gut by bifidobacteria-based probiotics drives exclusion of antibiotic-resistant pathobionts

Early-life probiotics have emerged as a promising strategy to combat the global emergency of antimicrobial resistance by enhancing gut resilience in infants. However, how exactly probiotic bacteria affect resistant opportunistic pathogens, i.e., pathobionts, remains nascent. We investigated effects of probiotic supplementation in 152 full-term, healthy Tanzanian infants, a sub-cohort of the ProRIDE trial (NCT04172012). Administration of oral probiotics during the first 4 weeks of life led to enhanced gut colonization by the probiotic Bifidobacterium species while suppressing pathobionts such as extended-spectrum {beta}-lactamase-producing Enterobacterales (ESBL-E). Integration of metagenomics with metabolomics revealed that probiotics decreased resistome load and mobilome richness at 6 weeks, with concurrent shifts in metabolome. Specifically, the intervention increased fecal lactate and pyruvate and reduced cross-feeding pathways leading to propionate and butyrate, which partly explained the reduced ESBL-E carriage. Our findings provide mechanistic insights into how probiotic-driven Bifidobacterium colonization modulates infant gut ecosystem to attenuate antimicrobial resistance in infancy.

microbiology↗

Genomic comparison of highly related pairs of E. coli and K. pneumoniae isolated from faeces and blood of the same neonatal patients hospitalized with fever in Dar es Salaam, Tanzania

Blood stream infections (BSIs) are a major cause of hospitalisation and death for children under the age of five in sub-Saharan Africa with members of the Gram-negative bacteria Enterobacterales such as Klebsiella pneumoniae and Escherichia coli among the most common causative agents. These bacteria usually colonise the human gastrointestinal (GI) tract which has been identified as a reservoir for invasive infections into extra-intestinal environments such as the urinary tract and bloodstream. In this study we used comparative genomics to compare hybrid genome assemblies of blood and faecal isolates taken from the same patients (all neonates under 19 days old) to determine if the BSI associated bacterial isolates originated in their GI tract. We show that both E. coli and K. pneumoniae likely translocated from the GI tract to the blood in multiple cases of BSI. We also highlight key virulence genes and acquired mutations that are indicative of pathogenic strains capable of BSI. These findings expand our understanding of BSI pathogenesis and could help guide targeted interventions to prevent future BSI infections in neonates.

genomics↗

Acriflavine, a clinically aproved drug, inhibits SARS-CoV-2 and other betacoronaviruses

SO_SCPLOWUMMARYC_SCPLOWThe COVID-19 pandemic caused by SARS-CoV-2 has been socially and economically devastating. Despite an unprecedented research effort, effective therapeutics are still missing to limit severe disease and mortality. Using high-throughput screening, we identified acriflavine as a potent papain-like protease (PLpro) inhibitor. NMR titrations and a co-crystal structure confirm that acriflavine blocks the PLpro catalytic pocket in an unexpected binding mode. We show that the drug inhibits viral replication at nanomolar concentration in cellular models, in vivo in mice and ex vivo in human airway epithelia, with broad range activity against SARS-CoV-2 and other betacoronaviruses. Considering that acriflavine is an inexpensive drug approved in some countries, it may be immediately tested in clinical trials and play an important role during the current pandemic and future outbreaks.

microbiology↗