Biology subjects

Huus, K. E.

Publications and source records attributed to Huus, K. E..

5 recordsLinked to original sources

bioRxiv2026

Vancomycin promotes key microbiota-pathogen interactions and removes protective bottlenecks to enteric infection

Antibiotic exposure disrupts enteric pathogen colonization resistance, yet how antibiotics reshape pathogen population dynamics, infection bottlenecks, and strain-level heterogeneity in the gut remains poorly understood. Here, we combine high-resolution pathogen barcoding, transcriptomic, and metabolomic analyses to quantify how short-term vancomycin perturbation alters infection ecology in vivo. We use Citrobacter rodentium as a model for human infection by pathogenic Escherichia coli-an antimicrobial resistance priority group-to demonstrate that just two days of vancomycin pre-treatment profoundly reshapes infection trajectories, driving rapid, global gut colonization, a dramatic increase in pathogen founding population size, and preservation of strain diversity across intestinal sites. Notably, vancomycin eliminated the hallmark heterogeneity of C. rodentium infection, resulting in fully reproducible colonization across hosts. Population-level analysis revealed that antibiotic treatment relaxes competitive constraints both with the resident microbiota and among clonal pathogen lineages, allowing early-established founders to persist and expand. Despite accelerated pathogen engraftment and tissue pathology, transcriptomic analysis revealed reduced virulence gene expression. Instead, antibiotic-induced metabolic restructuring of the gut created permissive conditions for pathogen expansion. Interactions with a vancomycin-altered microbiota, dominated by Akkermansia and Bacteroides, further promoted nutrient cross-feeding and influenced epithelial attachment. Together, we illustrate how short-term antibiotic exposure reshapes enteric infection by removing ecological bottlenecks that normally constrain strain diversity and infection outcomes. These findings have implications for antibiotic use, antimicrobial resistance transmission, and therapeutic strategies that rely on competition-driven dynamics, such as strain replacement.

microbiology↗

bioRxiv2026

Lithocholic acid modulates the growth of butyrate-producing bacteria and is decreased in the feces of stunted children

Bile acids modulate the intestinal microbiota and serve as key signaling molecules in host physiology. Bile acid dysregulation has been implicated in nutritional and inflammatory diseases; however, data on the pool of bile acids present in stunted children or children suffering of environmental enteric dysfunction (EED) is limited, particularly in the upper intestinal compartment where disease phenotypes are most relevant. In this study, we performed a targeted metabolomics approach on 75 bile acids and their derivatives, including gastric and duodenal aspirates and fecal samples from almost 1000 children from two Sub-Saharan cities. We found that levels of secondary bile acids, especially lithocholic acid, are significantly lower in the feces of stunted and EED children, while ursocholic acid and its derivatives are significantly higher. Levels of primary and sulfated bile acids are also increased in the feces of children with EED. Microbiota sequencing revealed that high lithocholic acid levels are positively associated with butyrate-producing bacteria, while negatively associated with oral taxa like Streptococcus and Veillonella. In vitro tests on a panel of reference strains showed that oral bacteria bioaccumulate and are inhibited by a variety of bile acids, while lithocholic and chenodeoxycholic acids modulate the growth of several butyrate-producing bacteria. This effect was even stronger with tauro- or glycol-conjugated bile acids. Exposing stool-derived in vitro communities from children in Afribiota to these bile acids confirmed their positive impact on butyrate producers and negative effect on overgrowing oral taxa. Our findings suggest that secondary bile acids, reduced in stunting and EED, modulate the growth of butyrate-producing bacteria while suppressing harmful oral taxa, highlighting their potential as tools to modulate microbiota composition.

microbiology↗

bioRxiv2025

Flagellin in the human gut microbiome is a diet-adjustable adjuvant for vaccination

The intestinal microbiota is thought to modulate immune responsiveness to vaccines. Human studies on this topic, however, have yielded inconsistent results1,2. We hypothesized that the microbiome would influence innate immune responses, and thus vaccine reactogenicity, more directly than vaccine immunogenicity. To test this, we established the {micro}HEAT (Microbial-Human Ecology And Temperature) study, which longitudinally profiled the fecal microbiota, oral body temperature and serum antibody responses of 171 healthy adults (18-40 years old) before and after vaccination for SARS-CoV-2. Increased temperature after vaccination ({Delta}T) was associated with habitual diet and with baseline metabolic and immune markers. The microbiomes of {Delta}T-high ({Delta}Thi) participants were characterized by high expression of flagellin and an overabundance of the flagellated bacterium Waltera. Fecal samples from {Delta}Thi participants induced more inflammation in human cells and stronger post-vaccine temperature responses in mice compared to {Delta}Tlo samples, suggesting a causal role for the microbiome. Moreover, Waltera flagellin replicated the inflammatory phenotypes in vitro and was modulable via a dietary additive. Overall, these data suggest that flagellin from the gut microbiome stimulates innate immunity and vaccine reactogenicity, and that this axis can be manipulated via diet. These findings have implications for improving human vaccine tolerance and immunogenicity.

microbiology↗

bioRxiv2025

Infection with gut parasites correlates with gut microbiome diversity across human populations in Africa

Soil-transmitted helminths (STH) are common in (sub)tropical regions and primarily affect impoverished populations. STHs reside in the gut, interacting both with the gut microbiota and host immunity. Clinical STH detection is laborious and often not performed within the context of gut microbiome studies. Here, we assessed whether fecal metagenome data could be used to assess STH infection, and to relate STH infection to microbiome diversity. We generated 310 gut metagenomes for mother-child pairs from two different locations in Gabon: one rural and one semi-urban. The presence and abundance of four STH parasites (Ascaris lumbricoides, Strongyloides stercoralis, Trichuris trichiura, and Necator americanus) were assessed using both microscopy and qPCR. Sequence data were used to characterize the microbiomes and to detect the presence of these four STH parasites. We found that metagenome data could accurately detect the presence of all four STHs, as reflected by high sensitivity and specificity compared to microscopy or qPCR detection. Furthermore, the number of STH species present in stool was associated with microbiome diversity and with the abundances of specific taxa, most notably in young children. We applied this approach to microbiome data from five other populations in Africa and corroborated our findings. Our results demonstrate that human intestinal parasites can be accurately detected via metagenomic sequencing, and highlight how infection with multiple STH parasites is linked to consistent features in the gut microbiome in populations in Africa.

microbiology↗

bioRxiv2020

Accurate identification and quantification of commensal microbiota bound by host immunoglobulins

BackgroundIdentifying which taxa are targeted by immunoglobulins can uncover important host-microbe interactions. Immunoglobulin binding of commensal taxa can be assayed by sorting bound bacteria from samples and using amplicon sequencing to determine their taxonomy, a technique most widely applied to study Immunoglobulin A (IgA-Seq). Previous experiments have scored taxon binding in IgA-Seq datasets by comparing abundances in the IgA bound and unbound sorted fractions. However, as these are relative abundances, such scores are influenced by the levels of the other taxa present and represent an abstract combination of these effects. Diversity in the practical approaches of prior studies also warrants benchmarking of the individual stages involved. Here, we provide a detailed description of the design strategy for an optimised IgA-Seq protocol. Combined with a novel scoring method for IgA-Seq datasets that accounts for the aforementioned effects, this platform enables accurate identification and quantification of commensal gut microbiota targeted by host immunoglobulins. ResultsUsing germ-free and Rag1-/- mice as negative controls, and a strain-specific IgA antibody as a positive control, we determine optimal reagents and fluorescence activated cell sorting (FACS) parameters for IgA-Seq. Using simulated IgA-Seq data, we show that existing IgA-Seq scoring methods are influenced by pre-sort relative abundances. This has consequences for the interpretation of case-control studies where there are inherent differences in microbiota composition between groups. We show that these effects can be addressed using a novel scoring approach based on posterior probabilities. Finally, we demonstrate the utility of both the IgA-Seq protocol and probability-based scores by examining both novel and published data from in vivo disease models. ConclusionsWe provide a detailed IgA-Seq protocol to accurately isolate IgA-bound taxa from intestinal samples. Using simulated and experimental data, we demonstrate novel probability-based scores that adjust for the compositional nature of relative abundance data to accurately quantify taxon-level IgA binding. All scoring approaches are made available in the IgAScores R package. These methods should improve the generation and interpretation of IgA-Seq datasets and could be applied to study other immunoglobulins and sample types.

bioinformatics↗