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François Blanquart

Publications and source records attributed to François Blanquart.

2 recordsLinked to original sources

Prevalence and risk factors for persistent faecal carriage of extended spectrum beta-lactamase producing Escherichia coli in a paediatric community population.

OBJECTIVE: To investigate clinical and microbiological factors associated with persistent faecal carriage of extended spectrum beta-lactamase (ESBL) producing Escherichia coli in infants. METHODS: Between 2010 and 2022, children aged 3 months to 2 years old were sampled in a community setting in France, at two visits, V1 and V2, 3-24 months apart, to screen for prolonged faecal carriage of ESBL-producing E. coli. Patient clinical information and whole genome sequence of each isolate were used for association studies. RESULTS: A total of 4641 children were sampled. 375 (8%) carried an ESBL-producing Enterobacterales, among which 142 of ESBL-producing E. coli carriers were once again sampled at V2 and included in this study. 21.8% (n = 31/142) and 18.4% (n = 16/99) carried the same ESBL-producing E. coli clone for at least 3 and 6 months, respectively. B2 phylogroup, and among which ST131 clones were associated with an increased risk of persistent carriage. Multivariate analysis identified virulence associated genes involved in adhesion (papC/papGII allele and a tia-like gene) and encoding toxin (senB) as major risk factors for persistence. A genome wide association study highlighted the potential role of the frz metabolic operon, known to be involved in enterocytes adhesion/internalisation. CONCLUSION: Main extraintestinal pathogenic E. coli genomic features (phylogenetic background, adhesion properties) are associated with ESBL-producing E. coli gut colonisation persistence in infants, which could potentially lead to an increased risk of febrile urinary tract infection in these patients.

Child

HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data.

BACKGROUND: Estimating the time since HIV infection (TSI) at population level is essential for tracking changes in the global HIV epidemic. Most methods for determining TSI give a binary classification of infections as recent or non-recent within a window of several months, and cannot assess the cumulative impact of an intervention. RESULTS: We developed a Random Forest Regression model, HIV-phyloTSI, which combines measures of within-host diversity and divergence to generate continuous TSI estimates directly from viral deep-sequencing data, with no need for additional variables. HIV-phyloTSI provides a continuous measure of TSI up to 9 years, with a mean absolute error of less than 12 months overall and less than 5 months for infections with a TSI of up to a year. It performs equally well for all major HIV subtypes based on data from African and European cohorts. CONCLUSIONS: We demonstrate how HIV-phyloTSI can be used for incidence estimates on a population level.

HIV Infections