Bifidobacterium species are well-established members of the human gut microbiome, particularly prominent during infancy, contributing to host health. Within this genus, Bifidobacterium longum ( BL. ) is a widespread species found in both infant and adult guts, known for its complexity and functional diversity among its known subspecies: BL. longum , BL. infantis and BL. suis . Here, using genomic and phylogenetic tools we propose a novel subspecies within the BL. species, Bifidobacterium longum subsp. nexti subspecies novel. We analyzed 435 BL. genomes using a polyphasic taxonomic approach comprising average nucleotide identity (ANI), digital DNA–DNA hybridization (dDDH), and pangenome analysis. We identified nine BL. strains, isolated from human infants and adults stool samples, as members of a distinct lineage within the BL. species. The type strain, LL6991, was isolated from the stool of a two-week-old Dutch infant in the Lifelines NEXT birth cohort. Phenotypically, BL. nexti exhibits a distinct morphological pattern, predominantly forming rod-shaped cells, often in chains with visible septa, contrasting with the Y-shaped morphology commonly observed for other BL. subspecies. Furthermore, BL. nexti demonstrates unique metabolic capabilities, including efficient utilization of fructose, and starch, carbohydrates not metabolized well by other tested BL. subspecies. This ability may be attributed to specific genes, such as a gene predicted to encode an extracellular amylopullulanase. This characterization expands the known diversity within the BL. species and provides insights into BL. nexti ’s unique adaptations and potential ecological roles within the human gut, especially in infants. Based on the consistent results from genotypic, phylogenetic, and phenotypic analyses, a novel subspecies with the name Bifidobacterium longum subsp. nexti , with type strain LL6991 (=NCCB 101085 =DSM 120337), is proposed.

Extremely preterm infants are at risk of immune-mediated complications such as infections and inflammatory conditions like bronchopulmonary dysplasia and necrotizing enterocolitis. Preterm infants are immunologically distinct from term infants at birth, but subsequently undergo adaptive postnatal changes resulting in immunological convergence during their first 3 months. Here, we performed a systems-level analysis of immune development in 72 preterm infants born as early as 22 weeks to investigate factors associated with variation. We find similar immune trajectories during early postnatal immune development but occurring more slowly in infants born at 22-24 weeks. Immune development showed a greater resemblance to that of term-born children in preterm infants fed mother's own milk compared to donor milk. This developmental normalization was manifested by NK cell development and was not explained by differences in microbial colonization between feeding groups, possibly suggesting direct effects of bioactive milk molecules on developing immune cells in extremely preterm infants.

Mobile genetic elements (MGE) are critical yet understudied determinants of gut microbiome composition. In this secondary analysis of a randomized controlled trial (NCT06030713), we characterized the gut virome and plasmidome in 195 samples from 28 mother-infant dyads delivered by cesarean section. Infant mobilome increases in richness over the first 6 postnatal weeks, demonstrating high individual-specificity and temporal stability, establishing a personal persistent mobilome. Formula-fed infants exhibit greater mobilome richness than breastfed infants, with plasmid composition being influenced by antibiotic exposure and birth weight. Plasmids constitute a reservoir of antibiotic resistance genes (ARG), with around 5% of infant gut plasmid taxonomic units carrying ARG. Notably, ARG profiles do not differ with antibiotic exposure at birth. Mother-infant sharing of viral and plasmid strains primarily occurs after 6 months of age. Overall, our integrative analysis offers insights into the dynamics, modulation, and origin of MGE in the developing gut microbiome.

Abstract Horizontal gene transfer (HGT) is a major driver of bacterial evolution, but its role in shaping the human gut microbiome over time remains poorly understood. Here, we present a longitudinal metagenomic analysis of 676 fecal samples from 338 individuals collected ~4 years apart, using a newly developed workflow to detect recent HGT events from metagenome-assembled genomes. We identified 5,644 high-confidence HGT events occurring within the past ~10,000 years across 116 gut bacterial species. We find that species pairs with a HGT relationship were significantly more likely to maintain stable ecological relationships over the 4-year period, suggesting that gene exchange contributes to ecological stability. Notably, HGT and strain replacement act together to disseminate mobile genes in the population. Furthermore, our observation that an individual's mobile gene pool remains highly personalized and stable over time indicates that host lifestyles drive specific gene transfer. For example, proton pump inhibitor usage was linked to increased transfer of multidrug transporter genes. Our findings demonstrate, at individual gut microbiome level, that HGT is both an integral and stabilizing force in the human gut ecosystem and an important mechanism for disseminating adaptive functions, underscoring their potential for tracking host lifestyle.

The human gut harbors thousands of microbial species, each exhibiting significant inter-individual genetic variability. Although many studies have associated microbial relative abundances with human-health-related phenotypes, the substantial intraspecies genetic variability of gut microbes has not yet been comprehensively considered, limiting the potential of linking such genetic traits with host conditions. Here, we analyzed 32,152 metagenomes from 94 microbiome studies across the globe to investigate the human microbiome intraspecies genetic diversity. We reconstructed 583 species-specific phylogenies and linked them to geographic information and species' horizontal transmissibility. We identified 484 microbial-strain-level associations with 241 host phenotypes, encompassing human anthropometric factors, biochemical measurements, diseases, and lifestyle. We observed a higher prevalence of a Ruminococcus gnavus clade in nonagenarians correlated with distinct plasma bile acid profiles and a melanoma and prostate-cancer-associated Collinsella clade. Our large-scale intraspecies genetic analysis highlights the relevance of strain diversity as it relates to human health.

BackgroundExtracorporeal photopheresis (ECP) has emerged as a prophylactic and therapeutic immunomodulatory option for managing acute rejection in heart transplants (HTx). The underlying mechanisms through which ECP exerts its immunomodulatory effects remain under investigation. Regulatory T cells (Treg) are a heterogeneous subset of immune lymphocytes that ensure the maintenance of tissue homeostasis, avoiding graft rejection. The transcription factor forkhead box protein 3 (FoxP3) is an essential molecular marker of Treg, acting as a "master regulator" of their genesis, stability, and functions. No study has investigated whether ECP impacts FoxP3 expression and its highly suppressive variants containing the exon 2 (FoxP3-E2), particularly in HTx.MethodsIn the current study, we recruited 14 HTx participants who had undergone ECP therapy. We explored the effect of in vivo ECP on CD4 + FoxP3 + Treg frequency and in vitro suppressive function in 8 HTx participants before (T0) and after 3 (T1), 6 (T2), and 12 (T3) mo of treatment. As a control group, we included 4 HTx individuals who had not undergone ECP therapy.ResultsWe found that ECP increases the frequency of CD4 + FoxP3 + Treg subset with highly suppressive phenotype, including CD4 + FoxP3-E2 + Treg. At functional levels, we observed that ECP treatment in HTx individuals effectively improves Treg suppressive ability in controlling the proliferation of autologous conventional CD4 + T lymphocytes.ConclusionsOur findings collectively suggest that ECP exerts its immunomodulatory effects in HTx individuals by positively impacting the frequency and regulatory function of the FoxP3 + Treg compartment.

BackgroundMaternal smoking and foetal exposure to nicotine and other harmful chemicals in utero remains a serious public health issue with little knowledge about the underlying genetics and consequences of maternal smoking in ageing individuals. Here, we investigated the epidemiology and genomic architecture of maternal smoking in a middle-aged population and compare the results to effects observed in the developing foetus.MethodsIn the current project, we included 351,562 participants from the UK Biobank (UKB) and estimated exposure to maternal smoking status during pregnancy through self-reporting from the UKB participants about the mother's smoking status around their birth. In addition, we analysed 64 foetal liver transcriptomic expression datasets collected from women seeking elective pregnancy terminations. Foetal maternal smoking exposure was confirmed through measurement of foetal plasma cotinine levels.FindingsFoetal exposure to maternal smoking had a greater impact on males than females, with more differentially expressed genes in liver tissue (3313 vs. 1163) and higher liver pathway activation. In the UKB, maternal smoking exposure was linked to an unhealthy lifestyle, lower education, and liver damage. In a genome-wide analysis in the UKB, we leveraged the shared genetic basis between affected offspring and their mothers and identified five genome-wide significant regions. We found a low heritability of the trait (∼4%) and implicated several disease-related genes in a transcriptome-wide association study. Maternal smoking increased all-cause mortality risk (Hazard ratio and 95% CI: 1.10 [1.04; 1.16], P = 4.04 × 10-4), which was attenuated in non-smoking males.InterpretationAlthough male foetuses are more affected than females by maternal smoking in pregnancy, this effect was largely reduced in middle-aged individuals. Importantly, our results highlight that the overall 10% increased mortality due to maternal smoking in pregnancy was greatly attenuated in non-smokers. This study demonstrates the importance of campaigns promoting offspring smoking prevention in families where the parent(s) smoke.FundingFunding for this project was provided by the University of Aberdeen, the Science Initiative Panel of the Institute of Medical Science, the UK Medical Research Council, the Seventh Framework Programme of the European Union under Grant Agreement 212885 (REEF), NHS Grampian Endowments grants and the European Commission Horizon Europe research grant Agreement 101094099 (INITIALISE).

Human cortical development is a complex process involving the proliferation, differentiation, and migration of progenitor cells, all coordinated within a dynamic extracellular matrix (ECM). ECM plays a crucial role in guiding these processes, yet its specific contributions and the implications of its dysregulation in neurodevelopmental disorders (NDDs) remain underexplored. In this study, we conducted a meta-analysis of single-cell RNA sequencing (scRNA-seq) data from 37 donors, gestational weeks (GWs) 8 to 26 across six independent studies to elucidate cell type-specific matrisome gene expression signatures and their dynamics in the developing human cortex. Our analysis identified distinct matrisome gene signatures across various cell types, with significant temporal changes during cortical development. Notably, a substantial proportion of matrisome genes are associated with NDDs, exhibiting cell type, temporal and disease specificity. These findings highlight the critical role of cell type-specific matrisome regulation in cortical development and its potential involvement in NDD pathogenesis. This study provides a comprehensive map of cell type-specific matrisome signatures in the developing human cortex and highlights the importance of ECM in both normal development and the pathogenesis of NDDs.

Metagenomics has revealed the incredible diversity of phages within the human gut. However, very few of these phages have been subjected to in-depth experimental characterization. One promising method of obtaining novel phages for experimental characterization is through induction of the prophages integrated into the genomes of cultured gut bacteria. Here, we developed a bioinformatic approach to prophage identification that builds on prophage genomic properties, existing prophage-detecting software, and publicly available virome sequencing data. We applied our approach to 22 strains of bacteria belonging to the genus Faecalibacterium, resulting in identification of 15 candidate prophages, and validated the approach by demonstrating the activity of five prophages from four of the strains. The genomes of three active phages were identical or similar to those of known phages, while the other two active phages were not represented in the Viral RefSeq database. Four of the active phages possessed a diversity-generating retroelement (DGR), and one retroelement had two variable regions. DGRs of two phages were active at the time of the induction experiments, as evidenced by nucleotide variation in sequencing reads. We also predicted that the host range of two active phages may include multiple bacterial species. Finally, we noted that four phages were less prevalent in the metagenomes of inflammatory bowel disease patients compared to a general population cohort, a difference mainly explained by differences in the abundance of the host bacteria. Our study highlights the utility of prophage identification and induction for unraveling phage molecular mechanisms and ecological interactions.IMPORTANCEWhile hundreds of thousands of phage genomes have been discovered in metagenomics studies, only a few of these phages have been characterized experimentally. Here, we explore phage characterization through bioinformatic identification of prophages in genomes of cultured bacteria, followed by prophage induction. Using this approach, we detect the activity of five prophages in four strains of commensal gut bacteria Faecalibacterium. We further note that four of the prophages possess diversity-generating retroelements implicated in rapid mutation of phage genome loci associated with phage-host and phage-environment interactions and analyze the intricate patterns of retroelement activity. Our study highlights the potential of prophage characterization for elucidating complex molecular mechanisms employed by the phages.

ScopeHuman milk (HM) is rich in bioactive compounds and essential nutrients. While research has focused on lipids, minerals, immune markers, microbiota, and oligosaccharides, specific metabolites are less studied. This study uses targeted metabolomics to identify and quantify metabolites in HM and explores the impact of perinatal and dietary factors on the metabolomic profile.Methods and resultsIn a cross-sectional study of 123 healthy lactating women, HM samples were collected up to 1 month postpartum and analyzed using the Biocrates MxP Quant 500 kit. Maternal and neonatal clinical, anthropometric, and nutritional data were collected. A total of 432 metabolites were quantified and categorized into 20 groups. The metabolomic profiles formed three distinct clusters, primarily driven by triglyceride concentration differences. Docosahexaenoic acid (DHA) levels were higher in HM from mothers with vaginal delivery compared to C-section births and differences in hexoses were found between exclusive and mixed-feeding practices. Maternal diets rich in lipids and animal proteins were associated with elevated amino acids, sphingolipids, and glycosyl-ceramides.ConclusionThe HM metabolome was grouped into three clusters influenced by delivery mode, lactation practices, and maternal diet. This comprehensive analysis opens new avenues to explore HM composition and offers valuable insights for future dietary interventions aimed at modulating HM.