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Influenza A Virus (IAV) infection followed by bacterial pneumonia often leads to hospitalization and death in individuals from high risk groups. Following infection, IAV triggers the process of viral RNA replication which in turn disrupts healthy gut microbial community, while the gut microbiota plays an instrumental role in protecting the host by evolving colonization resistance. Although the underlying mechanisms of IAV infection have been unraveled, the underlying complex mechanisms evolved by gut microbiota in order to induce host immune response following IAV infection remain evasive. In this work, we developed a novel Maximal-Clique based Community Detection algorithm for Weighted undirected Networks (MCCD-WN) and compared its performance with other existing algorithms using three sets of benchmark networks. Moreover, we applied our algorithm to gut microbiome data derived from fecal samples of both healthy and IAV-infected pigs over a sequence of time-points. The results we obtained from the real-life IAV dataset unveil the role of the microbial families Ruminococcaceae, Lachnospiraceae, Spirochaetaceae and Prevotellaceae in the gut microbiome of the IAV-infected cohort. Furthermore, the additional integration of metaproteomic data enabled not only the identification of microbial biomarkers, but also the elucidation of their functional roles in protecting the host following IAV infection. Our network analysis reveals a fast recovery of the infected cohort after the second IAV infection and provides insights into crucial roles of Desulfovibrionaceae and Lactobacillaceae families in combating Influenza A Virus infection. Source code of the community detection algorithm can be downloaded from https://github.com/AniBhar84/MCCD-WN.
The success of pregnancy depends on precisely adjusted, local immune mechanisms. In early pregnancy, fetal trophoblast cells implant into the endometrium to build and anchor the placenta. Simultaneously, they mediate fetal tolerance and defense against infections. To cover these versatile requirements, local immune factors must be in balance. A too tolerogenic milieu can lead to an inadequate placentation; while a too inflammatory milieu can cause rejection of the semi-allogenic fetus. Bacterial infections can provoke these inflammatory pregnancy complications as well. Therefore, the pregnant uterus was long thought to be sterile. Descriptions of a placental microbiome opened a scientific discourse, which is unsolved due to contrary studies. The colonization of the non-pregnant endometrium is, however, confirmed. It is supposed to affect both, uterine pathologies and fertility. Precise data are lacking. Aim of this work was to assess if and under which circumstances a bacterial colonization would be tolerable.
One of the described species in placental and endometrial samples is Fusobacterium nucleatum. It is an opportunistic bacterium, which is known from the human oral cavity and associated with the development of colon carcinomas. F. nucleatum supports tumorigenesis by the induction of epithelial proliferation, survival, migration and invasion as well as angiogenesis and tumor tolerance. Since similar processes are required for implantation and placentation, F. nucleatum might support these as well. In this work, the effects of F. nucleatum on leukocyte-trophoblast-interactions, especially of macrophages and innate lymphoid cells type 3 (ILC3), were assessed.
The monocytic cells (THP-1) were differentiated into inflammatory M1 (IFN-γ) or tissue-repairing and tolerogenic M2a (IL-4) and M2c (TGF-β) macrophages. Inactivated F. nucleatum, LPS or E. coli was added. Only small concentrations of inactivated bacteria were used (bacteria:leukocyte ratio of 0.1 or 1), since it was not the aim to analyze infections. Conditioned medium of treated leukocytes was added to trophoblastic cells (HTR-8/SVneo). Migratory, invasive and tube formation behavior of trophoblastic cells was quantified.
Treated M1 macrophages impaired trophoblast function, whereas M2a macrophages induced trophoblast invasion. M2c macrophages supported trophoblast migration and tube formation if treated with the smaller, but not with the higher concentration of F. nucleatum. This treatment induced the accumulation of HIF-1α and the secretion of VEGF-A in M2c macrophages as well. Moreover, the higher concentration of F. nucleatum caused rather inflammatory responses (NF-κB activation and cytokine expression). The activation of the HIF-1α-VEGF-A axis under the influence of TGF-β might serve as a mild immune stimulation by low abundant commensal bacteria supporting placentation.
In contrast to macrophages, the function of ILC3s during pregnancy is still unknown. In general, ILC3s are located in mucosal tissue, such as the gut. They participate in tolerance mechanisms and form the local micromilieu by the secretion of cytokines and the presentation of antigens. In order to characterize local, uterine ILC3s, murine ILC3s were compared to peripheral, splenic ILC3s. Uterine ILC3s were more activated and produced higher levels of IL-17 compared to splenic ILC3s. However, uterine ILC3s barely expressed MHCII on their surface. A reduced antigen presentation potential was confirmed in human ILC3s differentiated from cord blood stem cells by the addition of TGF-β or hCG. The treatment with bacteria increased MHCII expression, but not to the initial level. The higher bacterial concentration induced IL-8 secretion and led to an increased trophoblast invasion. ILC3s were less sensitive to bacterial stimulation than macrophages.
Recent studies on the uterine or placental presence of bacteria during pregnancy are discrepant. The results of this project indicate that bacteria or bacterial residues might serve as a mild stimulus under certain circumstances to support implantation without negative effects. The current discussion must therefore not only be expanded by additional studies, but especially include differentiated local conditions. In this context, the sheer presence of bacteria or bacterial components must not be equated with an infection representing a known hazard.
Microbial metabolites measured using NMR may serve as markers for physiological or pathological host–microbe interactions and possibly mediate the beneficial effects of microbiome diversity. Yet, comprehensive analyses of gut microbiome data and the urine NMR metabolome from large general population cohorts are missing. Here, we report the associations between gut microbiota abundances or metrics of alpha diversity, quantified from stool samples using 16S rRNA gene sequencing, with targeted urine NMR metabolites measures from 951 participants of the Study of Health in Pomerania (SHIP). We detected significant genus–metabolite associations for hippurate, succinate, indoxyl sulfate, and formate. Moreover, while replicating the previously reported association between hippurate and measures of alpha diversity, we identified formate and 4-hydroxyphenylacetate as novel markers of gut microbiome alpha diversity. Next, we predicted the urinary concentrations of each metabolite using genus abundances via an elastic net regression methodology. We found profound associations of the microbiome-based hippurate prediction score with markers of liver injury, inflammation, and metabolic health. Moreover, the microbiome-based prediction score for hippurate completely mediated the clinical association pattern of microbial diversity, hinting at a role of benzoate metabolism underlying the positive associations between high alpha diversity and healthy states. In conclusion, large-scale NMR urine metabolomics delivered novel insights into metabolic host–microbiome interactions, identifying pathways of benzoate metabolism as relevant candidates mediating the beneficial health effects of high microbial alpha diversity.
Inflammatory bowel diseases (IBDs) have emerged as a public health problem worldwide with a limited number of efficient therapeutic options despite advances in medical therapy. Although changes in the gut microbiota composition are recognized as key drivers of dysregulated intestinal immunity, alterations in bile acids (BAs) have been shown to influence gut homeostasis and contribute to the pathogenesis of the disease. In this review, we explore the interactions involving BAs and gut microbiota in IBDs, and discuss how the gut microbiota–BA–host axis may influence digestive inflammation.
Animals experience climatic variation in their natural habitats, which may lead to variation in phenotypic responses among populations through local adaptation or phenotypic plasticity. In ectotherm arthropods, the expression of thermoprotective metabolites such as free amino acids, sugars, and polyols, in response to temperature stress, may facilitate temperature tolerance by regulating cellular homeostasis. If populations experience differences in temperatures, individuals may exhibit population-specific metabolite profiles through differential accumulation of metabolites that facilitate thermal tolerance. Such thermoprotective metabolites may originate from the animals themselves or from their associated microbiome, and hence microbial symbionts may contribute to shape the thermal niche of their host. The social spider Stegodyphus dumicola has extremely low genetic diversity, yet it occupies a relatively broad temperature range occurring across multiple climate zones in Southern Africa. We investigated whether the metabolome, including thermoprotective metabolites, differs between populations, and whether population genetic structure or the spider microbiome may explain potential differences. To address these questions, we assessed metabolite profiles, phylogenetic relationships, and microbiomes in three natural populations along a temperature gradient. The spider microbiomes in three genetically distinct populations of S. dumicola showed no significant population-specific pattern, and none of its dominating genera (Borrelia, Diplorickettsia, and Mycoplasma) are known to facilitate thermal tolerance in hosts. These results do not support a role of the microbiome in shaping the thermal niche of S. dumicola. Metabolite profiles of the three spider populations were significantly different. The variation was driven by multiple metabolites that can be linked to temperature stress (e.g., lactate, succinate, or xanthine) and thermal tolerance (e.g., polyols, trehalose, or glycerol): these metabolites had higher relative abundance in spiders from the hottest geographic region. These distinct metabolite profiles are consistent with a potential role of the metabolome in temperature response.