Sofia Kirke Forslund

This study analyzes global infant gut microbiota to reveal lifestyle-specific maturation patterns and identifies delays in maturation in malnourished and preterm infants.

The paper identifies a continuous nutrient-derived dietary gradient that links gut microbiome composition, network structure, and host physiology in adults following long-term diets.

The paper analyzes ARGs in wild house mice to show that agricultural land use and livestock exposure increase mobile ARG occurrence.

The paper compares gut microbiota and short-chain fatty acid (SCFA) patterns in Polish and Japanese children, finding similar SCFA trajectories despite divergent microbial communities.

The paper uses long-read metagenomics to analyze pet dog gut microbiomes, generating high-quality MAGs and identifying antimicrobial resistance elements in a Shanghai cohort.

This study identifies cefiderocol resistance genes in environmental samples using functional metagenomics, revealing beta-lactamases and mobile genetic elements.

The paper compares mucus-associated microbiota sampling methods in mice and humans, finding that mucosal washes yield less host contamination and comparable microbiota diversity to biopsies and scrapings.

The paper develops methods to collect intestinal interstitial fluid from different segments and shows segment-specific differences in microbiota-derived metabolites, cytokines, and proteins compared to plasma and serum.

The paper examines how host subspecies divergence, hybridisation, and spatial environment influence microbiome composition in house mice, finding that host genetics shape microbiome similarity more than hybridisation.

This study investigates how baseline gut microbiome composition affects resilience to and recovery from antibiotic treatment, identifying key taxa and functional modules associated with resilience.

This study links gut microbiota dysbiosis and altered tryptophan metabolism to increased inflammation in severe COVID-19 patients.

The paper benchmarks differential abundance methods in microbiome studies, showing that only a few methods control false discoveries well and that confounding variables can lead to spurious associations.

This study identifies microbiome determinants of hippurate, a metabolite linked to metabolic health, and demonstrates its protective effects in mice through benzoate-hippurate pathway analysis.