Biology subjects

Kapel, N.

Publications and source records attributed to Kapel, N..

8 recordsLinked to original sources

bioRxiv2026

Early Colonic and Microbial Responses Precede Hyperphagia in Short Bowel Syndrome: Insights from a Rat Model

BackgroundShort bowel syndrome (SBS) resulting from extensive small bowel resection is characterized by severe malabsorption and represents the leading cause of intestinal failure. Although spontaneous intestinal adaptation can partially restore nutrient absorption, the temporal coordination and hierarchy of the adaptive mechanisms involved--particularly those linking the gut microbiota, enteroendocrine function, hyperphagia, and intestinal remodeling-- remain incompletely understood. MethodsWe investigated the kinetics of spontaneous intestinal adaptation in a rat model mimicking type 2 SBS over a 28-day postoperative period. Body weight, food intake, gastrointestinal transit, fecal losses, intestinal morphology, enteroendocrine hormone secretion, hypothalamic neuropeptide expression, and gut microbiota composition were assessed longitudinally in SBS and SHAM-operated rats. ResultsExtensive small bowel resection induced marked early weight loss, accelerated intestinal transit, diarrhea, and increased fecal energy losses that persisted throughout the follow-up. Profound gut microbiota remodeling occurred as early as day 7, remained largely stable thereafter, and was characterized by reduced diversity and enrichment in Lactobacillaceae and Enterobacteriaceae. Early elongation of remaining colon and epithelial remodeling were observed, preceding the jejunal hyperplasia, which became evident from day 14 onward. Enteroendocrine adaptation was marked by an early increase in plasma peptide YY levels, whereas glucagon-like peptide-1 showed a modest response. Food intake was increased in SBS rats from day 7 onward, and hyperphagia developed gradually and reached a plateau by the end of the third postoperative week, in parallel with increased hypothalamic AgRP levels and reduced POMC levels. No significant improvement of intestinal transit and fecal energy losses was observed during the study period. ConclusionIntestinal adaptation to extensive resection follows a time-dependent sequence in which early gut microbiota remodeling and colonic adaptation precede hyperphagia and small intestinal remodeling. These findings highlight the gut microbiota and the colon as central components of the early post-resection adaptation and potential therapeutic targets in SBS.

pathology↗

bioRxiv2025

Strain-level translocation and enrichment mechanisms of oral bacteria in the lower gastrointestinal tract of stunted children

Emerging evidence suggests that ectopic colonization of oral bacteria in the lower digestive tract may exacerbate gastrointestinal disorders. Nevertheless, it remains unclear whether bacteria of oral origin are continuously translocating from the oral cavity to the lower gastrointestinal tract or are locally adapted and persist in their respective niches. We investigated strain translocation dynamics in 44 healthy and stunted children from Bangui, Central African Republic. Using cross-sectional shotgun metagenomic sequencing of saliva, gastric, duodenal and fecal samples, and isolation and whole genome sequencing of 87 Streptococcus salivarius isolates, we showed translocation of members of the genera Streptococcus, Veillonella, Rothia and Haemophilus. Fecal isolates were more closely related to oral isolates from the same individuals than those from other individuals. Additionally, saliva showed higher S. salivarius nucleotide diversity compared to other compartments, suggesting a source-sink dynamic in which S. salivarius populations are continuously seeded from the oral cavity without durably establishing in the lower gastrointestinal tract. Last, we showed that overrepresentation of oral bacteria in the duodenum of stunted children is due to increased biomass, while in the colon it is linked to depletion of overall biomass, including in butyrate-producing strains. Our study quantifies mechanisms of oral-to-gut translocation and enrichment of oral taxa, providing key insights into microbiota disruption in stunted children.

microbiology↗

bioRxiv2024

E. coli phylogeny drives co-amoxiclav resistance through variable expression of blaTEM-1

Co-amoxiclav resistance in E. coli is a clinically important phenotype associated with increased mortality. The class A beta-lactamase blaTEM-1 is often carried by co- amoxiclav-resistant pathogens, but exhibits high phenotypic heterogeneity, making genotype-phenotype predictions challenging. We present a curated dataset of n=377 E. coli isolates representing all 8 known phylogroups, where the only acquired beta- lactamase is blaTEM-1. For all isolates, we generate hybrid assemblies and co-amoxiclav MICs, and for a subset (n=67/377), blaTEM-1 qPCR expression data. First, we test whether certain E. coli lineages are intrinsically better or worse at expressing blaTEM-1, for example, due to lineage differences in regulatory systems, which are challenging to directly quantify. Using genotypic features of the isolates (blaTEM-1 promoter variants and copy number), we develop a hierarchical Bayesian model for blaTEM-1 expression that controls for phylogeny. We establish that blaTEM-1 expression intrinsically varies across the phylogeny, with some lineages (e.g. phylogroups B1 and C, ST12) better at expression than others (e.g. phylogroups E and F, ST372). Next, we test whether phylogenetic variation in expression influences the resistance of the isolates. With a second model, we use genotypic features (blaTEM-1 promoter variants, copy number, duplications; ampC promoter variants; efflux pump AcrF presence) to predict isolate MIC, again controlling for phylogeny. Lastly, we use a third model to demonstrate that the phylogenetic influence on blaTEM-1 expression causally drives the variation in co- amoxiclav MIC. This underscores the importance of incorporating phylogeny into genotype-phenotype predictions, and the study of resistance more generally.

microbiology↗

bioRxiv2022

Comparison of R9.4.1/Kit10 and R10/Kit12 Oxford Nanopore flowcells and chemistries in bacterial genome reconstruction

2.Complete, accurate, cost-effective, and high-throughput reconstruction of bacterial genomes for large-scale genomic epidemiological studies is currently only possible with hybrid assembly, combining long- (typically using nanopore sequencing) and short-read (Illumina) datasets. Being able to utilise nanopore-only data would be a significant advance. Oxford Nanopore Technologies (ONT) have recently released a new flowcell (R10.4) and chemistry (Kit12), which reportedly generate per-read accuracies rivalling those of Illumina data. To evaluate this, we sequenced DNA extracts from four commonly studied bacterial pathogens, namely Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Staphylococcus aureus, using Illumina and ONTs R9.4.1/Kit10, R10.3/Kit12, R10.4/Kit12 flowcells/chemistries. We compared raw read accuracy and assembly accuracy for each modality, considering the impact of different nanopore basecalling models, commonly used assemblers, sequencing depth, and the use of duplex versus simplex reads. "Super accuracy" (sup) basecalled R10.4 reads - in particular duplex reads - have high per-read accuracies and could be used to robustly reconstruct bacterial genomes without the use of Illumina data. However, the per-run yield of duplex reads generated in our hands with standard sequencing protocols was low (typically <10%), with substantial implications for cost and throughput if relying on nanopore data only to enable bacterial genome reconstruction. In addition, recovery of small plasmids with the best-performing long-read assembler (Flye) was inconsistent. R10.4/Kit12 combined with sup basecalling holds promise as a singular sequencing technology in the reconstruction of commonly studied bacterial genomes, but hybrid assembly (Illumina+R9.4.1 hac) currently remains the highest throughput, most robust, and cost-effective approach to fully reconstruct these bacterial genomes. 3. Impact statementOur understanding of microbes has been greatly enhanced by the capacity to evaluate their genetic make-up using a technology known as whole genome sequencing. Sequencers represent microbial genomes as stretches of shorter sequence known as reads, which are then assembled using computational algorithms. Different types of sequencing approach have advantages and disadvantages with respect to the accuracy and length of the reads they generate; this in turn affects how reliably genomes can be assembled. Currently, to completely reconstruct bacterial genomes in a high-throughput and cost-effective manner, researchers tend to use two different types of sequencing data, namely Illumina (short-read) and nanopore (long-read) data. Illumina data are highly accurate; nanopore data are much longer, and this combination facilitates accurate and complete bacterial genomes in a so-called "hybrid assembly". However, new developments in nanopore sequencing have reportedly greatly improved the accuracy of nanopore data, hinting at the possibility of requiring only a single sequencing approach for bacterial genomics. Here we evaluate these improvements in nanopore sequencing in the reconstruction of four bacterial reference strains, where the true sequence is already known. We show that although these improvements are extremely promising, for high-throughput, low-cost complete reconstruction of bacterial genomes hybrid assembly currently remains the optimal approach. 4. Data summaryThe authors confirm all supporting data, code and protocols have been provided within the article, through supplementary data files, or in publicly accessible repositories. Nanopore fast5 and fastq data are available in the ENA under project accession: PRJEB51164. Assemblies have been made available at: https://figshare.com/articles/online_resource/q20_comparison_genome_assemblies/196838 67. Code and analysis outputs are available at: https://gitlab.com/ModernisingMedicalMicrobiology/assembly_comparison_analysis/-/tree/main (tagged version v0.5.5).

genomics↗

bioRxiv2021

Polyclonal pathogen populations accelerate the evolution of antibiotic resistance in patients

Antibiotic resistance poses a global health threat, but the within-host drivers of resistance remain poorly understood. Pathogen populations are often assumed to be clonal within hosts, and resistance is thought to emerge due to selection for de novo variants. Here we show that pulmonary populations of the opportunistic pathogen P. aeruginosa are often polyclonal. Crucially, resistance evolves rapidly in patients colonized by polyclonal populations through selection for pre-existing resistant strains. In contrast, resistance evolves sporadically in patients colonized by monoclonal populations due to selection for novel resistance mutations. However, strong trade-offs between resistance and fitness occur in polyclonal populations that can drive the loss of resistant strains. In summary, we show that the within-host diversity of pathogen populations plays a key role in shaping the emergence of resistance in response to treatment. One sentence summaryAntibiotic resistance evolves quickly in patients colonized by polyclonal pathogen populations.

evolutionary biology↗

bioRxiv2021

Localized hypermutation drives the evolution of unstable colistin resistance in small populations of Pseudomonas aeruginosa

Colistin has emerged as an important last line of defence for the treatment of infections caused by antibiotic resistant Gram-negative pathogens. Here we investigate the responses of {approx}1,000 populations of an MDR strain of P. aeruginosa to a high dose of colistin. Colistin exposure resulted in rapid cell death, but a sub-set of populations eventually recovered due to the outgrowth of heteroresistant cells. Genome sequencing revealed that heteroresistance was primarily driven by mutations in the PmrAB two-component system that occurred at a rate ({approx}2x10-5 per cell division) that was 103-104 fold higher than typical resistance mutation rates. Crucially, this elevated mutation rate was only found in pmrB, demonstrating that hypermutability is localized to this gene. PmrAB provides resistance to antimicrobial peptides that are involved in host immunity, suggesting that this pathogen may have evolved a high mutation rate as an adaption to generate mutants that are resistant to host antimicrobial peptides that are secreted during infection. Interestingly, we found no mutations in 1/3 of populations that recovered from colistin treatment, suggesting that phenotypic plasticity and/or persister cells contribute to the ability of Pseudomonas to adapt to colistin.

microbiology↗

bioRxiv2020

Tolerogenic Dendritic Cells Shape a Transmissible Gut Microbiota that Protects from Metabolic Diseases

Excess of chronic contact between microbial motifs and intestinal immune cells are known to trigger a low-grade inflammation involved in many pathologies such as obesity and diabetes. The important skewing of intestinal adaptive immunity in the context of diet-induced obesity (DIO) is well described but how dendritic cells (DCs) participate to these changes is still poorly documented. To address this question, transgenic mice with enhanced DCs lifespan and immunogenicity (DChBcl-2 mice), are challenged with a high fat diet. Those mice display resistance to DIO and metabolic alterations. The DIO resistant phenotype is associated with healthier parameters of intestinal barrier function and lower intestinal inflammation. DChBcl-2 DIO-resistant mice demonstrate a particular increase in tolerogenic DC numbers and function which is associated with strong intestinal IgA, Th17 and T regulatory immune responses. Microbiota composition and function analyses reveal that the DChBcl-2 mice microbiota is characterized by a lower immunogenicity and an enhanced butyrate production. Cohousing experiments and fecal microbial transplantations are sufficient to transfer the DIO resistance status to WT mice demonstrating that maintenance of DCs tolerogenic ability sustains a microbiota able to drive DIO resistance. DCs tolerogenic function is revealed as a new potent target in metabolic diseases management.

immunology↗

bioRxiv2020

Rapid evolution drives the rise and fall of carbapenem resistance during an acute Pseudomonas aeruginosa infection

It is well established that antibiotic treatment selects for resistance in pathogenic bacteria. However, the evolutionary responses of pathogen populations to antibiotic treatment during infections remain poorly resolved, especially in acute infections. Here we map the evolutionary responses to treatment in high definition through genomic and phenotypic characterization of >100 isolates from a patient with P. aeruginosa pneumonia. Antibiotic therapy (meropenem, colistin) caused a rapid crash of the P. aeruginosa population in the lung, but this decline was followed by the spread of meropenem resistance mutations that restrict antibiotic uptake (oprD) or modify LPS biosynthesis (wbpM). Low fitness strains with high-level meropenem resistance (oprD) were then replaced by high fitness strains with anti-resistance mutations in the MexAB-OprM efflux pump, causing a rapid decline in resistance to both meropenem and a collateral loss of resistance to a broad spectrum of antibiotics. In contrast, we did not observe any evolutionary responses to antibiotic treatment in the intestinal population of P. aeruginosa. Carbapenem antibiotics are key to the treatment of infections caused by Gram negative pathogens, and our work highlights the ability of natural selection to drive both the rapid rise and fall of carbapenem resistance during acute infections.

evolutionary biology↗