The small chain fatty acid butyrate antagonizes the TCR-stimulation-induced metabolic shift in murine epidermal γδ T cells

The metabolic requirements change during cell proliferation and differentiation. Upon antigen-stimulation, effector T cells switch from adenosine-triphospate (ATP)-production by oxidative phosphorylation in the mitochondria to glycolysis. In the gut it was shown that short chain fatty acids (SCFA), fermentation products of the microbiota in colon, ameliorate inflammatory reactions by supporting the differentiation of regulatory T cells. SCFA are a major energy source, but they are also anabolic metabolites, histone-deacetylase-inhibitors and activators of G protein receptors. Recently, it was reported that a topical application of the SCFA butyrate promotes regulatory T cells in the skin. Here we ask if the SCFA butyrate, propionate and acetate affect the energy metabolism and inflammatory potential of dendritic epidermal T cells (DETC), the innate resident skin γδ T cell population. Using the Seahorse™ technology, we measured glycolysis and oxidative phosphorylation (OXPHOS) in a murine DETC cell line, 7-17, upon TCR-stimulation by CD3/CD28 crosslinking, with or without SCFA addition. TCR engagement resulted in a change of the ratio glycolysis/OXPHOS. A similar metabolic shift has been described for activated CD4 T cells. Addition of 5 mM SCFA, in particular butyrate, antagonized the effect. Stimulated DETC secrete cytokines, e.g. the pro-inflammatory cytokine interferon-gamma (IFNγ), and thereby regulate skin homeostasis. Addition of butyrate and propionate to the cultures at non-toxic concentrations decreased secretion of IFNγ by DETC and increased the expression of the immunoregulatory surface receptor CD69. We hypothesize that SCFA can dampen the inflammatory activity of DETC

Intestinal fungi contribute to development of alcoholic liver disease

This study was supported in part by NIH grants R01 AA020703, U01 AA021856 and by Award Number I01BX002213 from the Biomedical Laboratory Research & Development Service of the VA Office of Research and Development (to B.S.). K.H. was supported by a DFG (Deutsche Forschungsgemeinschaft) fellowship (HO/ 5690/1-1). S.B. was supported by a grant from the Swiss National Science Foundation (P2SKP3_158649). G.G. received funding from the Yale Liver Center NIH P30 DK34989 and R.B. from NIAAA grant U01 AA021908. A.K. received support from NIH grants RC2 AA019405, R01 AA020216 and R01 AA023417. G.D.B. is supported by funds from the Wellcome Trust. We acknowledge the Human Tissue and Cell Research (HTCR) Foundation for making human tissue available for research and Hepacult GmbH (Munich, Germany) for providing primary human hepatocytes for in vitro analyses. We thank Dr. Chien-Yu Lin Department of Medicine, Fu-Jen Catholic University, Taiwan for statistical analysis.Peer reviewedPublisher PD

Effects of Liver Fibrosis Progression on Tissue Relaxation Times in Different Mouse Models Assessed by Ultrahigh Field Magnetic Resonance Imaging

Recently, clinical studies demonstrated that magnetic resonance relaxometry with determination of relaxation times T1 and T2⁎ may aid in staging and management of liver fibrosis in patients suffering from viral hepatitis and steatohepatitis. In the present study we investigated T1 and T2⁎ in different models of liver fibrosis to compare alternate pathophysiologies in their effects on relaxation times and to further develop noninvasive quantification methods of liver fibrosis. MRI was performed with a fast spin echo sequence for measurement of T1 and a multigradient echo sequence for determination of T2⁎. Toxic liver fibrosis was induced by injections of carbon tetrachloride (1.4 mL CCl4 per kg bodyweight and week, for 3 or 6 weeks) in BALB/cJ mice. Chronic sclerosing cholangitis was mimicked using the ATP-binding cassette transporter B4 knockout (Abcb4 -/-) mouse model. Untreated BALB/cJ mice served as controls. To assess hepatic fibrosis, we ascertained collagen contents and fibrosis scores after Sirius red staining. T1 and T2⁎ correlate differently to disease severity and etiology of liver fibrosis. T2⁎ shows significant decrease correlating with fibrosis in CCl4 treated animals, while demonstrating significant increase with disease severity in Abcb4 -/- mice. Measurements of T1 and T2⁎ may therefore facilitate discrimination between different stages and causes of liver fibrosis

Expression of the megalin C-terminal fragment by macrophages during liver fibrogenesis in mice

AbstractThe low-density-lipoprotein receptor megalin (LRP2, gp330) is strongly expressed in the kidney, where it is responsible for the resorption of metabolites from primary urine. One of the main ligands is the complex of retinol and retinol binding protein. Megalin has been hypothesized to be part of the retinol storage system in liver. Considering the role of hepatic stellate cells in retinol storage and fibrogenesis we investigated mouse strains that developed different degrees of fibrosis after challenge with CCl4. Immunoblotting revealed the invariable expression of the megalin C-terminal fragment independent of liver damage in all strains. However, only a specific cell population in centrilobular areas of fibrotic livers from DBA/2J mice, which were most susceptible for CCl4-induced fibrogenesis in our study, was stained using megalin-specific antibodies. Double immunostaining indicated that a subset of hepatic macrophages might represent the megalin-expressing cells in fibrotic liver. Fluorescence activated cell sorting based isolation of hepatic macrophages and megalin specific expression analysis demonstrated the transcription of the whole megalin gene in liver macrophages. We argue that megalin might exhibit a proinflammatory effect by the uptake of retinoids in recruited monocytes, which thereby differentiate to liver macrophages and potentiate fibrogenesis by the release of proinflammatory mediators. Otherwise, megalin might be activated in macrophages during advanced fibrogenesis and act as a negative regulator of proinflammatory genes

Systems genetics of liver fibrosis: identification of fibrogenic and expression quantitative trait loci in the BXD murine reference population.

The progression of liver fibrosis in response to chronic injury varies considerably among individual patients. The underlying genetics is highly complex due to large numbers of potential genes, environmental factors and cell types involved. Here, we provide the first toxicogenomic analysis of liver fibrosis induced by carbon tetrachloride in the murine 'genetic reference panel' of recombinant inbred BXD lines. Our aim was to define the core of risk genes and gene interaction networks that control fibrosis progression. Liver fibrosis phenotypes and gene expression profiles were determined in 35 BXD lines. Quantitative trait locus (QTL) analysis identified seven genomic loci influencing fibrosis phenotypes (pQTLs) with genome-wide significance on chromosomes 4, 5, 7, 12, and 17. Stepwise refinement was based on expression QTL mapping with stringent selection criteria, reducing the number of 1,351 candidate genes located in the pQTLs to a final list of 11 cis-regulated genes. Our findings demonstrate that the BXD reference population represents a powerful experimental resource for shortlisting the genes within a regulatory network that determine the liver's vulnerability to chronic injury

Phenotypic characterization of parental strains after six weeks of CCl₄ injections.

<p>Liver fibrosis was assessed by morphometric (A) and biochemical (B) measurement of hepatic collagen (Hyp) contents. Hepatic inflammation was measured by serum ALT activities (C). Sirius red staining of hepatic collagen showed circumferential fibrosis in C57BL/6J mice (D) and pronounced fibrosis in DBA/2J mice (E), corresponding to mean F-scores of 2.0±0.1 and 3.9±0.1, respectively.</p

Chromosomal regions of pQTLs with significant genome-wide LRS values determined by single QTL scans and CIM.

<p>Abbreviations and definitions: <b>pQTL (chr):</b> chromosomal position of quantitative trait locus; <b>LRS (max):</b> likelihood ratio statistic, maximum association between genotype and phenotype variation; <b>SNP (max):</b> single nucleotide polymorphism with maximum LRS in QTL region; <b>1.5 LOD support interval (Mb):</b> chromosomal region in Megabases spanning QTL position; <b>Additive allele effect</b>: estimate of a change in the average phenotype by substitution of one parental allele by another at a given marker position; <b>(−)</b> values indicate an increase of phenotype by C57BL/6J allele, <b>(+)</b> values an increase of phenotype by DBA/2J allele; <b>Dataset:</b> dataset in which the QTL was identified; <b>Hyp</b>: hydroxyproline; CIM: composite interval mapping.</p