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.

Human brain development depends on the coordinated interaction of diverse cell types and extracellular matrix (ECM) components, which are essential for proper neurogenesis and cortical organization. Epidemiological and animal studies have demonstrated that maternal immune activation (MIA) disrupts brain development, leading to impaired neurogenesis and increased risk of neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD) and schizophrenia. However, the cellular and molecular mechanisms by which MIA impacts human cortical development remain poorly understood. Here we introduce a 3D ex vivo culture system, termed ‘cerebroids,’ derived from dorsolateral prefrontal cortex of human fetal brain tissue, which faithfully preserves key developmental processes, along with critical cellular diversity and structural integrity of the developing human cortex. Using this platform, we show that IL-17A, a cytokine strongly implicated in NDDs, induces premature cortical folding, increases cortical thickness, and accelerates neurogenesis and neuronal maturation. Transcriptomic and proteomic analyses reveal significant dysregulation of ECM-related pathways, including the upregulation of proteoglycans such as brevican and versican. Notably, treatment with the anti-inflammatory agent parthenolide, an inhibitor of NF-κB and HDAC1 pathways, reverses IL-17A-induced cortical abnormalities, restoring normal cortical thickness, folding, and neurogenesis. These findings provide valuable insights into how IL-17A disrupts human cortical development during MIA, advancing our understanding of NDD-associated structural cortical alterations.

Environmental contamination complicates the study of low-biomass microbial communities like the human gut virome. In 1,321 early-life gut viromes and 55 negative controls (NCs) from four datasets, we identified viral contaminants and their prevalence across studies. Samples and NCs were indistinguishable in genomic and ecological features, with 71.5% of samples sharing at least one identical strain with NCs. This work demonstrates the efficacy of strain-aware decontamination for preserving biological signals.

BackgroundThe plasma metabolome reflects the physiological state of various biological processes and can serve as a proxy for disease risk. Plasma metabolite variation, influenced by genetic and epigenetic mechanisms, can also affect the cellular microenvironment and blood cell epigenetics. The interplay between the plasma metabolome and the blood cell epigenome remains elusive. In this study, we performed an epigenome-wide association study (EWAS) of 1183 plasma metabolites in 693 participants from the LifeLines-DEEP cohort and investigated the causal relationships in DNA methylation-metabolite associations using bidirectional Mendelian randomization and mediation analysis.ResultsAfter rigorously adjusting for potential confounders, including genetics, we identified five robust associations between two plasma metabolites (L-serine and glycine) and three CpG sites located in two independent genomic regions (cg14476101 and cg16246545 in PHGDH and cg02711608 in SLC1A5) at a false discovery rate of less than 0.05. Further analysis revealed a complex bidirectional relationship between plasma glycine/serine levels and DNA methylation. Moreover, we observed a strong mediating role of DNA methylation in the effect of glycine/serine on the expression of their metabolism/transport genes, with the proportion of the mediated effect ranging from 11.8 to 54.3%. This result was also replicated in an independent population-based cohort, the Rotterdam Study. To validate our findings, we conducted in vitro cell studies which confirmed the mediating role of DNA methylation in the regulation of PHGDH gene expression.ConclusionsOur findings reveal a potential feedback mechanism in which glycine and serine regulate gene expression through DNA methylation.

Pregnant women undergoing a cesarean section (CS) typically receive antibiotics prior to skin incision to prevent infections. To investigate if the timing of antibiotics influences the infant gut microbiome, we conducted a randomized controlled trial (NCT06030713) in women delivering via a scheduled CS who received antibiotics either before skin incision or after umbilical cord clamping. We performed a longitudinal analysis on 172 samples from 28 infants at 8 post-birth time points and a cross-sectional analysis at 1 month in 79 infants from 3 cohorts. Although no significant associations with bacterial composition, metabolic pathways, short-chain fatty acids, and bile acids were found, we observed subtle differences between the groups at the bacterial strain level and in the load of antibiotic resistance genes. Rather, feeding mode was a predominant and defining factor impacting infant microbial composition. In conclusion, antibiotic administration during CS has only limited effects on the early-life gut microbiome.

The molecular mechanisms that govern differential T cell development from CD4+CD25-conventional T (Tconv) into CD4+CD25+ forkhead-box-P3+ (FoxP3+) inducible regulatory T (iTreg) cells remain unclear. Herein, we investigated the relative contribution of protein kinase A (PKA) in this process. Mechanistically, we found that PKA controlled the efficiency of human iTreg cell generation through the expression of different FoxP3 splicing variants containing or not the exon 2. We found that transient PKA inhibition reduced the recruitment of cAMP-responsive element-binding protein (CREB) on regulatory regions of the FoxP3 gene, a condition that is associated with an impaired acquisition of their suppressive capacity in vitro. To corroborate our findings in a human model of autoimmunity, we measured CREB phosphorylation and FoxP3 levels in iTreg cells from treatment-naïve relapsing-remitting (RR)-multiple sclerosis (MS) subjects. Interestingly, both phospho-CREB and FoxP3 induction directly correlated and were significantly reduced in RR-MS patients, suggesting a previously unknown mechanism involved in the induction and function of human iTreg cells.

Potential celiac disease (PCD) is a clinical condition characterised by the presence of a positive CD-specific serology and a normal intestinal architecture. Asymptomatic PCD patients are generally advised to continue on a gluten-containing diet (GCD), but long-term risks of this approach have never been explored. In the present study, we aimed to investigate nutritional and autoimmune complications possibly developing overtime in a cohort of asymptomatic PCD children on a GCD. We compared children's parameters of growth, nutritional status, and autoimmunity between the time of diagnosis and on the occasion of their last medical check, after a long-term gluten-containing diet. Altogether, we collected data from 171 PCD children with a mean follow-up time of 3 years (range 0.35-15.3 years). During follow-up, although patients did not reduce their amount of daily gluten intake, their anti-tissue transglutaminase (anti-TG2) antibodies spontaneously and significantly decreased. Most parameters analysed had not changed during follow-up (height centile, ferritin, albumin, cholesterol, calcium, alkaline phosphatase, parathormone, and vitamin D) or even improved significantly (weight and BMI centile, haemoglobin, blood iron, HDL, glycaemia, and HbA1C, p < 0.05), always remaining within the limit of normality. Equally, autoantibodies for other concomitant autoimmune disorders did not increase overtime. Similar results were obtained excluding from analysis patients who had stopped producing anti-TG2 and those with a follow-up time < 3 years. Our pilot study has provided reassuring results regarding the maintenance of a gluten-containing diet in asymptomatic PCD children, even when long-term follow-up was considered.

Metabolites from feces provide important insights into the functionality of the gut microbiome. As immediate freezing is not always feasible in gut microbiome studies, there is a need for sampling protocols that provide the stability of the fecal metabolome and microbiome at room temperature (RT). Here, we investigated the stability of various metabolites and the microbiome (16S rRNA) in feces collected in 95% ethanol (EtOH) and commercially available sample collection kits with specific preservatives OMNImet•GUT/OMNIgene•GUT. To simulate field-collection scenarios, the samples were stored at different temperatures at varying durations (24 h + 4 °C, 24 h RT, 36 h RT, 48 h RT, and 7 days RT) and compared to aliquots immediately frozen at -80 °C. We applied several targeted and untargeted metabolomics platforms to measure lipids, polar metabolites, endocannabinoids, short-chain fatty acids (SCFAs), and bile acids (BAs). We found that SCFAs in the nonstabilized samples increased over time, while a stable profile was recorded in sample aliquots stored in 95% EtOH and OMNImet•GUT. When comparing the metabolite levels between aliquots stored at room temperature and at +4 °C, we detected several changes in microbial metabolites, including multiple BAs and SCFAs. Taken together, we found that storing samples at RT and stabilizing them in 95% EtOH yielded metabolomic results comparable to those from flash freezing. We also found that the overall composition of the microbiome did not vary significantly between different storage types. However, notable differences were observed in the α diversity. Altogether, the stability of the metabolome and microbiome in 95% EtOH provided results similar to those of the validated commercial collection kits OMNImet•GUT and OMNIgene•GUT, respectively.