Biology subjects

Brix, S.

Publications and source records attributed to Brix, S..

13 recordsLinked to original sources

bioRxiv2026

NAD metabolism mediates a sex-specific protection against early life infections

Sex influences early-life immunity and infection outcomes, yet how metabolic mechanisms regulate these effects remain unclear. As nicotinamide adenine dinucleotide (NAD) can support mitochondrial metabolism and immune function, here we explore how NAD metabolism contributes to sex-specific protection against infections in early life. First, in two independent cohorts of 700 and 386 children, we found that females at birth had higher blood NAD levels than males, and strikingly higher birth NAD levels were associated with reduced infection burdens during the first 3 years of life in females, but with tendency of increased burdens in males. At 18 months, plasma nicotinamide associated with sex-specific cytokine responses to antigen challenges and showed a stronger positive association with tricarboxylic acid cycle (TCA) activity in females. Next, we verified the causal effects of NAD metabolism on infection protection by testing the supplementation of NAD precursor nicotinamide riboside (NR) in infected newborn piglets, used as a translational model of infection-sensitive infants. NR treatment improved survival, bacterial clearance, and disease tolerance only in females, but not in males. Mechanistically, NR increased levels of hepatic TCA cycle metabolites fumarate and malate, and enhanced hepatic inflammatory, hormonal, and mitochondrial-associated transcriptional programs, again only in females. Finally, the sex-specific immune functions mediated by NR were also validated in blood and immune cells in vitro. Collectively, we identified NAD metabolism as a sex-dependent immunometabolic mediator in early-life infection. Our findings suggest the potential of sex-stratified nutritional interventions in infection-sensitive infants.

immunology↗

bioRxiv2025

Phylogenomics supports monophyly of marsupial crustaceans: a journey to direct development

Peracarida (marsupial crustaceans) represent one of the most diverse and ecologically important crustacean groups, yet their evolutionary relationships have long been debated. Here, we present the most comprehensive phylogenomic analysis of Peracarida to date, incorporating the relict taxa Thermosbaenacea, Mictacea, Ingolfiellida, and Spelaeogriphacea for the first time in a phylogenomic framework. Our results robustly confirm peracarid monophyly and recover a well-supported clade uniting Mancoida (Isopoda, Tanaidaca, Cumacea), Mictacea, and Spelaeogriphacea. We propose the new taxon Panmancoida to encompass this expanded lineage defined by shared developmental and morphological traits. The inferred phylogeny further suggests that peracarid evolution involved a transition from an intermediate "pseudodirect" developmental mode to the direct development seen in most lineages. We further show that the shift to extensive brood care within the marsupium, accompanied by the loss of a free-swimming larval stage, may have accelerated rates of molecular evolution across lineages. Together, these findings provide a robust evolutionary framework for this major malacostracan lineage and highlight how key reproductive innovations reshaped the genomic and life-history trajectories of the marsupial crustaceans.

evolutionary biology↗

bioRxiv2025

Ketone and glycolytic metabolism are key modulators of inflammation during neonatal sepsis

Neonatal sepsis is a life-threatening condition in preterm infants, primarily due to a dysregulated immunometabolic response to infection. Sepsis and infection mortality are associated with excessive glycolysis-induced inflammation, impaired mitochondrial oxidative phosphorylation (OXPHOS) and loss of disease tolerance. Reduced glucose intake can reverse these dysregulations, but it is unclear how the mechanistic control of glycolysis-OXPHOS balance drives defense strategies and infection outcomes. Here, in a preterm piglet model of neonatal sepsis, glycolysis inhibition with 2-deoxyglucose (2-DG) completely prevents acute infection mortality, reduces systemic inflammation and markers of liver injury, accompanied by enhanced mitochondrial metabolism and disease tolerance. Strikingly, this protection by 2-DG is conferred despite elevated blood glucose levels and higher bacterial burdens than the infected controls. Alternatively, partial replacement of glucose intake with the ketone beta-hydroxybutyrate (BHB) abolishes sepsis-related mortality via improving disease tolerance and clinical parameters. This intervention also shifts the hepatic transcriptome away from inflammatory signaling and towards mitochondrial metabolism. In macrophages in vitro, BHB also exerts anti-inflammatory effects independently of metabolic modulation via the HCAR2 receptor. Finally, data from a cohort of 700 infants confirm an association of plasma BHB levels and anti-inflammatory state. These findings demonstrate that metabolic reprogramming through glycolysis inhibition or ketone supplementation is a promising therapeutic strategy to enhance disease tolerance and improve sepsis outcomes in neonates.

immunology↗

bioRxiv2025

Dual human milk oligosaccharide-fibre utilisation drives gut microbiome selection during weaning

Gut microbiome (GM) maturation in early life follows organised taxonomic successions. How weaning impacts these trajectories remains underexplored. Here, we sampled faeces from seven mother-infant dyads at pre-, early and late weaning. Enrichment cultures (n=306) and metagenomic (n=108) analyses revealed an unexpected prevalence of fibre degradation genes and the growth of the pre-weaning infant GM on common dietary fibres. Utilisation of both human milk oligosaccharides (HMOs) and dietary fibres was revealed as a metabolic hallmark of the weaning GM. We showed that HMO-utilisation is retained beyond weaning, by analyses of maternal GM and HMO utilisation in 137 maternal isolates. Our findings highlight dual HMO-dietary fibre utilisation as a hitherto unrecognised driver that potentially orchestrates the selection of distinct adult GM species during weaning. This work outlines a plausible mechanism underlying the organised GM maturation in early life and highlights a previously overlooked role of HMOs during the weaning transition.

microbiology↗

bioRxiv2025

Harnessing systemic glycolysis-TCA cycle axis to boost the host defense against newborn infection

Energy metabolism and immune response are tightly connected, but it is poorly understood how this interplay is regulated in early life to dictate host defense strategy, infection risks and severity. This interplay is particularly relevant for preterm, low birthweight or otherwise immunocompromised infants, who have poor metabolic control and increased risks of sepsis. Here, we utilized data from the COPSAC2010 cohort with 700 mother-child pairs and showed that plasma levels of TCA cycle metabolites in early life were associated with reduced childhood risk of bacterial infection and an attenuated systemic inflammatory response. Next, we explored how two distinct nutritional strategies, which were aimed at boosting TCA cycle activity instead of glycolysis, impacted neonatal host defense against a serious bloodstream infection in preterm piglets. Substituting galactose for glucose in parenteral nutrition enhanced disease tolerance in early phase of infection and overall glucose homeostasis, improving survival. Further, combining glucose restriction with supplementation of glucogenic amino acids conferred glycemic control and completely prevented sepsis and abnormal changes of organ injury markers. Mechanistically, this intervention enhanced both disease resistance and tolerance, accompanied by metabolic rewiring from glycolysis towards gluconeogenesis, TCA cycle activity and oxidative phosphorylation. Thus, optimized nutritional strategies controlling the interplay of energy metabolism and host defense may be lifesaving for infected infants. In briefNewborns rely on two distinct defense strategies to combat infections in early life. Disease resistance, fueled by aerobic glycolysis, seeks to actively eliminate microorganisms while disease tolerance, fueled by mitochondrial oxidative phosphorylation, seeks to reduce collateral tissue damage during infections. We found that in healthy human newborns, increased plasma levels of metabolites from the tricarboxylic acid (TCA) cycle were associated with lower burden of childhood infections and reduced pro-inflammatory status. In a newborn animal model of bloodstream infection, nutritional strategies boosting systemic TCA cycle activity, while reducing aerobic glycolysis, enhanced both host disease tolerance and resistance, thereby improving survival. These findings could pave a path for improved infection management in human newborns. HighlightsO_LIIn healthy children, higher plasma levels of TCA cycle metabolites are associated with lower infection risks and systemic inflammation. C_LIO_LIIn a neonatal infection model, the supply of galactose, instead of glucose, improves host glucose homeostasis and TCA cycle activity, improving disease tolerance and survival. C_LIO_LIA combination of glucose restriction and glucogenic amino acid supply also improves TCA cycle activity, enhancing both disease resistance and tolerance and completely preventing lethal sepsis. C_LI

immunology↗

bioRxiv2023

Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images

Stereo-seq is a cutting-edge technique for spatially resolved transcriptomics that combines subcellular resolution with centimeter-level field-of-view, serving as a technical foundation for analyzing large tissues at the single-cell level. Our previous work presents the first one-stop software that utilizes cell nuclei staining images and statistical methods to generate high-confidence single-cell spatial gene expression profiles for Stereo-seq data. With recent advancements in Stereo-seq technology, it is possible to acquire cell boundary information, such as cell membrane/wall staining images. To take advantage of this progress, we update our software to a new version, named STCellbin, which utilizes the cell nuclei staining images as a bridge to align cell membrane/wall staining images with spatial gene expression maps. By employing an advanced cell segmentation technique, accurate cell boundaries can be obtained, leading to more reliable single-cell spatial gene expression profiles. Experimental results verify that STCellbin can be applied on the mouse liver (cell membranes) and Arabidopsis seed (cell walls) datasets and outperforms other competitive methods. The improved capability of capturing single cell gene expression profiles by this update results in a deeper understanding of the contribution of single cell phenotypes to tissue biology. Availability & ImplementationThe source code of STCellbin is available at https://github.com/STOmics/STCellbin.

bioinformatics↗

bioRxiv2023

Specific gut pathobionts escape antibody coating and are enriched during flares in patients with severe Crohn's disease

Patients with Crohns disease (CD) exhibit great heterogeneity in disease presentation and treatment responses, where distinct gut microbiota-host interplays may play part in the yet unresolved disease etiology. We here characterized absolute and relative single and multi-coating of gut bacteria with immunoglobulin (Ig)A, IgG1, IgG2, IgG3 and IgG4 in CD patients and healthy controls. Patients with severe disease exhibited distinctly higher gut bacterial IgG2-coating. IgG2-coated bacteria included both known pathogenic and non-pathogenic bacteria that co-existed in communities with two non-coated gut pathobionts Campylobacter and Mannheimia. These latter two exhibited low prevalence, rarely coincided, and were strongly enriched during disease flares in CD patients across independent and geographically distant cohorts. Since antibody-coating of gut pathobionts diminishes epithelial invasion and inflammatory processes, escape from coating by specific gut pathobionts may be a mechanism related to disease flares in the subgroup of CD patients with severe disease.

immunology↗

bioRxiv2020

Phylogenomic resolution of sea spider diversification through integration of multiple data classes

Despite significant advances in invertebrate phylogenomics over the past decade, the higher-level phylogeny of Pycnogonida (sea spiders) remains elusive. Due to the inaccessibility of some small-bodied lineages, few phylogenetic studies have sampled all sea spider families. Previous efforts based on a handful of genes have yielded unstable tree topologies. Here, we inferred the relationships of 89 sea spider species using targeted capture of the mitochondrial genome, 56 conserved exons, 101 ultraconserved elements, and three nuclear ribosomal genes. We inferred molecular divergence times by integrating morphological data for fossil species to calibrate 15 nodes in the arthropod tree of life. This integration of data classes resolved the basal topology of sea spiders with high support. The enigmatic family Austrodecidae was resolved as the sister group to the remaining Pycnogonida and the small-bodied family Rhynchothoracidae as the sister group of the robust-bodied family Pycnogonidae. Molecular divergence time estimation recovered a basal divergence of crown group sea spiders in the Ordovician. Comparison of diversification dynamics with other marine invertebrate taxa that originated in the Paleozoic suggests that sea spiders and some crustacean groups exhibit resilience to mass extinction episodes, relative to mollusk and echinoderm lineages.

evolutionary biology↗

bioRxiv2020

Breastmilk-promoted bifidobacteria produce aromatic lactic acids in the infant gut

Breastfeeding profoundly shapes the infant gut microbiota, which is critical for early life immune development. However, few breastmilk-dependent microbial metabolites mediating host-microbiota interactions are currently known. We here demonstrate that breastmilk-promoted Bifidobacterium species convert aromatic amino acids (tryptophan, phenylalanine and tyrosine) into their respective aromatic lactic acids (indolelactate, phenyllactate and 4-hydroxyphenyllactate) via a previously unrecognised aromatic lactate dehydrogenase. By longitudinal profiling of the gut microbiota composition and metabolome of stool samples of infants obtained from birth until 6 months of age, we show that stool concentrations of aromatic lactic acids are determined by the abundance of human milk oligosaccharide degrading Bifidobacterium species containing the aromatic lactate dehydrogenase. We demonstrate that stool concentrations of Bifidobacterium-derived indolelactate, the most abundant aromatic lactic acid in vivo, are associated with the capacity of infant stool samples to activate the aryl hydrocarbon receptor (AhR), a receptor important for controlling intestinal homeostasis and immune responses. Finally, we show that indolelactate modulates ex vivo immune responses of human CD4+ T-cells and monocytes in a dose-dependent manner by acting as an agonist of both, the AhR and hydroxycarboxylic acid receptor 3 (HCAR3). Our findings reveal that breastmilk-promoted Bifidobacterium produce aromatic lactic acids in the gut of infants and suggest that these microbial metabolites may impact immune function in early life.

microbiology↗

bioRxiv2019

Privatization of biofilm matrix in structurally heterogeneous biofilms

ABSTRACTThe self-produced biofilm provides beneficial protection for the enclosed cells, but the costly production of matrix components makes producer cells susceptible to cheating by non-producing individuals. Despite detrimental effects of non-producers, biofilms can be heterogeneous, with isogenic non-producers being a natural consequence of phenotypic differentiation processes. For instance, in Bacillus subtilis biofilm cells differ in the two major matrix components production, the amyloid fiber protein TasA and exopolysaccharides (EPS), demonstrating different expression levels of corresponding matrix genes. This raises questions regarding matrix gene expression dynamics during biofilm development and the impact of phenotypic non-producers on biofilm robustness. Here, we show that biofilms are structurally heterogeneous and can be separated into strongly and weakly associated clusters. We reveal that spatiotemporal changes in structural heterogeneity correlate with matrix gene expression, with TasA playing a key role in biofilm integrity and timing of development. We show that the matrix remains partially privatized by the producer subpopulation, where cells tightly stick together even when exposed to shear stress. Our results support previous findings on the existence of ‘weak points’ in seemingly robust biofilms as well as on the key role of linkage proteins in biofilm formation. Furthermore, we provide a starting point for investigating the privatization of common goods within isogenic populations.IMPORTANCE Biofilms are communities of bacteria protected by a self-produced extracellular matrix. The detrimental effects of non-producing individuals on biofilm development raises questions about the dynamics between community members, especially when isogenic non-producers exist within wild-type populations. We asked ourselves whether phenotypic non-producers impact biofilm robustness, and where and when this heterogeneity of matrix gene expression occurs. Based on our results we propose that the matrix remains partly privatized by the producing subpopulation, since producing cells stick together when exposed to shear stress. The important role of linkage proteins in robustness and development of the structurally heterogeneous biofilm provides an entry into studying the privatization of common goods within isogenic populations.Competing Interest StatementThe authors have declared no competing interest.View Full Text

microbiology↗

bioRxiv2019

M-GWAS for the gut microbiome in Chinese adults illuminates on complex diseases

The gut microbiome has been established as a key environmental factor to health. Genetic influences on the gut microbiome have been reported, yet, doubts remain as to the significance of genetic associations. Here, we provide shotgun data for whole genome and whole metagenome from a Chinese cohort, identifying no less than 20% genetic contribution to the gut microbiota. Using common variants-, rare variants- and copy number variations (CNVs)-based association analyses, we identified abundant signals associated with the gut microbiome especially in metabolic, neurological and immunological functions. The controversial concept of enterotypes may have a genetic attribute, with the top 2 loci explaining 11% of the Prevotella-Bacteroides variances. Stratification according to gender led to the identification of differential associations in males and females. Genetically encoded responses to ectopic presence of oral bacteria in the gut appear to be a common theme in a number of diseases investigated by MWAS (Metagenome-wide association studies). Our two-stage M-GWAS (Microbiome genome-wide association studies) on a total of 1295 individuals unequivocally illustrates that neither microbiome nor GWAS studies could overlook one another in our quest for a better understanding of human health and diseases.\n\nHighlightsM-GWAS using high-depth whole genome identifies contributions from rare variants and CNVs.\n\nGut microbial modules such as butyrate, amino acids, mucin degradation show genetic associations.\n\nGender differential M-GWAS underscores differences in metabolic and psychological predispositions.\n\nSome of the MWAS markers for colorectal cancer and cardiometabolic diseases show genetic associations.

genetics↗

bioRxiv2019

Distinct gut metagenomics and metaproteomics signatures in prediabetics and treatment-naïve type 2 diabetics

BackgroundThe gut microbiota plays important roles in modulating host metabolism. Previous studies have demonstrated differences in the gut microbiome of T2D and prediabetic individuals compared to healthy individuals, with distinct disease-related microbial profiles being reported in groups of different age and ethnicity. However, confounding factors such as anti-diabetic medication hamper identification of the gut microbial changes in disease development.\n\nMethodWe used a combination of in-depth metagenomics and metaproteomics analyses of faecal samples from treatment-naive type 2 diabetic (TN-T2D, n=77), pre-diabetic (Pre-DM, n=80), and normal glucose tolerant (NGT, n=97) individuals to investigate compositional and functional changes of the gut microbiota and the faecal content of microbial and host proteins in Pre-DM and treatment-naive T2D individuals to elucidate possible host-microbial interplays characterising different disease stages.\n\nFindingsWe observed distinct differences characterizing the gut microbiota of these three groups and validated several key features in an independent TN-T2D cohort. We also demonstrated that the content of several human antimicrobial peptides and pancreatic enzymes differed in faecal samples between three groups, such as reduced faecal level of antimicrobial peptides and pancreatic enzymes in TN-T2D.\n\nInterpretationOur findings suggest a complex, disease stage-dependent interplay between the gut microbiota and the host and emphasize the value of metaproteomics to gain further insight into interplays between the gut microbiota and the host.\n\nFundingNational Key Research and Development Program of China, No. 2017YFC0909703, Shenzhen Municipal Government of China, No. JCYJ20170817145809215, and National Natural Science Foundation of China, No. 31601073.

microbiology↗

bioRxiv2019

Integration of gut microbiome, host biomarkers, and urine metabolome data reveals networks of interactions associated with distinct clinical phenotypes

BackgroundComprehensive analyses of multi-omics data may provide insights into interactions between different biological layers in relation to distinct clinical features. Here we integrated data on the gut microbiota, blood parameters and urine metabolites of treatment-naive individuals presenting a wide range of metabolic disease phenotypes to delineate clinically meaningful associations.\n\nResultsTrans-omics correlation networks revealed that candidate gut microbial biomarkers and urine metabolite features covaried with distinct clinical phenotypes. Integration of the gut microbiome, the urine metabolome and the phenome revealed that variations in one of these three systems correlated with changes in the other two. Of specific note in relation to clinical parameters of liver function, we identified Eubacterium eligens, Faecalibacterium prausnitzii and Ruminococcus lactaris to be associated with a healthy liver function, whereas Clostridium bolteae, Tyzzerella nexills, Ruminococcus gnavus, Blautia hansenii, and Atopobium parvulum were associated with blood biomarkers for liver diseases. Variations in these microbiota features paralleled changes in specific urine metabolites. Network modeling yielded two core clusters including one large gut microbe-urine metabolite close-knit cluster and one triangular cluster composed of a gut microbe-blood-urine network, demonstrating close inter-system crosstalk especially between the gut microbiome and the urine metabolome.\n\nConclusionsDistinct clinical phenotypes are manifested in both the gut microbiome and the urine metabolome, and inter-domain connectivity takes the form of high-dimensional networks. Such networks may further our understanding of complex biological systems, and may provide a basis for identifying biomarkers for diseases.

microbiology↗