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. 2023 Dec;15(2):2281014.
doi: 10.1080/19490976.2023.2281014. Epub 2023 Nov 21.

Gut-microbiota prompt activation of natural killer cell on alcoholic liver disease

Affiliations

Gut-microbiota prompt activation of natural killer cell on alcoholic liver disease

Jung A Eom et al. Gut Microbes. 2023 Dec.

Abstract

The liver is rich in innate immune cells, such as natural killer (NK) cells, natural killer T cells, and Kupffer cells associated with the gut microbiome. These immune cells are dysfunctional owing to alcohol consumption. However, there is insufficient data on the association between immune cells and gut microbiome in alcoholic liver disease (ALD). Therefore, the purpose of this study was to evaluate the effects of probiotic strains on NK cells in ALD patients. In total, 125 human blood samples [control (n = 22), alcoholic hepatitis (n = 43), and alcoholic cirrhosis (n = 60]) were collected for flow cytometric analysis. C57BL/6J mice were divided into four groups (normal, EtOH-fed, and 2 EtOH+strain groups [Phocaeicola dorei and Lactobacillus helveticus]). Lymphocytes isolated from mouse livers were analyzed using flow cytometry. The frequency of NK cells increased in patients with alcoholic hepatitis and decreased in patients with alcoholic cirrhosis. The expression of NKp46, an NK cell-activating receptor, was decreased in patients with alcoholic hepatitis and increased in patients with alcoholic cirrhosis compared to that in the control group. The number of cytotoxic CD56dimCD16+ NK cells was significantly reduced in patients with alcoholic cirrhosis. We tested the effect of oral administration P. dorei and L. helveticus in EtOH-fed mice. P. dorei and L. helveticus improved liver inflammation and intestinal barrier damage caused by EtOH supply and increased NK cell activity. Therefore, these observations suggest that the gut microbiome may ameliorate ALD by regulating immune cells.

Keywords: Alcoholic liver disease; NK cell; gut liver axis; gut microbiota; immune.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

None
Graphical abstract
Figure 1.
Figure 1.
NK cell frequency and function change with the progression of alcoholic liver disease. (a) flow diagram. (b) flow cytometry analysis gating strategy. (c) flow cytometry analysis of PBMCs isolated from human blood. (d) frequency of NK cell activation receptor (NKp46) and NK cell with cytotoxic function in CD3CD56+ NK cells. (e) correlation between alcoholic hepatitis severity score, MDF score, and NK cell function. Data are presented as the mean ± SEM. *p < .05, **p < .01 compared to corresponding controls using unpaired t test between the two groups. Abbreviations: ALD, alcoholic liver disease; AH, alcoholic hepatitis; ALC, alcoholic liver cirrhosis; MDF, maddrey’s discriminant function.
Figure 2.
Figure 2.
Comparisons of relative abundances of gut microbiome and functional biomarkers between healthy control and ALD patients. (a) beta diversity (principal coordinates analysis). (b) phylum composition of healthy control, alcohol fatty liver, AH, ALC patients. (c) the relative abundance of Firmicutes, Bacteroidetes and F/B ratio (%). (d) the genus composition of healthy control, alcohol fatty liver, AH, ALC patients. (e) alpha diversity through ACE and CHAO, which are species richness indicators, and Shannon analysis, which is species evenness indicators. (g) abundance of P. dorei and L. helveticus groups. (f) heatmap analysis with taxonomic biomarker LDE score > 4. (h) pathway and orthology analysis in functional biomarkers (LEfSe analysis). Data are presented as the mean ± SEM. *p < .05, **p < .01 compared to corresponding controls using unpaired t test between the two groups. Abbreviation: ACE, abundance-based coverage estimators; LDA, linear discriminant analysis; LEfSe, linear discriminant analysis effect size.
Figure 3.
Figure 3.
Results of histopathological changes in liver supplemented with P. dorei and L. helveticus in the chronic-plus-binge alcohol feeding model (NIAAA model). (a) scheme of the animal experiment. (b) changes in body weight, liver weight, and L/B ratio (%). (c) liver tissue pictures and H&E staining of liver tissue. Fatty change, inflammation grade, and fibrosis stage scores were evaluated through H&E-stained liver tissue. Data are presented as the mean ± SEM. #p < .05, ##p < .01 compared EtOH-fed and normal groups using an unpaired t test between the two groups. *p < .05, **p < .01 compared EtOH-fed and strain groups using an unpaired t test between the two groups.
Figure 4.
Figure 4.
Effects of strains on expression of genes related to inflammation and immune response in chronic-plus-binge alcohol feeding model (NIAAA model) mouse liver. Liver tissue was collected and total RNA for RT-PCR analysis and protein for western blot were extracted. (a) LBP ELISA assay in mouse serum. Hepatic mRNA expression level of (b, e) pro-inflammatory cytokine and (c) chemokine genes that play an important role in immune and inflammatory control. Western blot analysis of the protein expression level of (d) COX-2 and (f) MAPK signaling pathway in liver tissue. Data are presented as the mean ± SEM. #p < .05, ##p < .01 compared EtOH-fed and normal groups using an unpaired t test between the two groups. *p < .05 compared EtOH-fed and strain groups using an unpaired t test between the two groups. Abbreviation: LBP, lipopolysaccharide binding protein; TNF-α, tumor necrosis factor α; IL, interleukin; TLR2, toll-like receptor 2; CXCL, C-X-C motif chemokine ligand; CCL, CC motif chemokine ligand; IFN-γ, interferon gamma; MAPK, mitogen-activated protein kinase.
Figure 5.
Figure 5.
Effect of strains on recovery of impaired intestinal barrier caused by ethanol feeding in chronic-plus-binge alcohol feeding model (NIAAA model). Colon tissue was collected and total RNA for RT-PCR analysis and protein for western blot were extracted. (a) RT-PCR analysis and (b) western blot analysis of tight junction protein genes in mouse colon tissue. Data are presented as the mean ± SEM. ##p < 0.01 compared EtOH-fed and normal groups using an unpaired t test between the two groups. *p < .05, **p < .01 compared EtOH-fed and strain groups using an unpaired t test between the two groups.
Figure 6.
Figure 6.
Effects of strains that increase the activity and function of NK cells that have been reduced by ethanol intake. (a) flow cytometry analysis of liver MNCs isolated from NIAAA model. (b) flow cytometry analysis of subsets of NK cells gated with NK1.1 and CD3. (c) hepatic mRNA expression levels of NK cell transcription factor genes. (d) frequency of activating receptor expression in NK cells gated with NK1.1 and CD3. (e) RT-PCR analysis of granzyme B and perforin in mouse liver NK cell. Data are presented as the mean ± SEM. #p < .05, ##p < .01 compared EtOH-fed and normal groups using an unpaired t test between the two groups. *p < .05, **p < .01 compared EtOH-fed and strain groups using an unpaired t test between the two groups.
Figure 7.
Figure 7.
Results of QuantSeq mRNA-seq analysis in chronic-plus-binge alcohol feeding model (NIAAA model). (a) PCA based on the expression value of all genes in the sample. (b) venn diagram showing the difference in total gene expression between the EtOH-fed group and the strain group. (c) clustering heatmap analysis showing the similarity between samples and genes. (d) GO biological process analysis of the strain group compared to the EtOH-fed group using metascape. (e) GSEA analysis of upregulated gene expression in NK cells increased by P. dorei administration. (f) GSEA analysis of downregulated gene expression in NK cells reduced by L. helveticus administration. (g) Cytoscape STRING analysis of gene correlation based on protein-protein interaction. (h) genes involved in inflammation and immune response with significantly different expression. Abbreviation: PCA, principal component analysis; GO, gene ontology; NES, normalized enrichment score; FDR, false discovery rate.

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