| Literature DB >> 34344786 |
Wafa Khamri1, Cathrin Gudd2, Tong Liu2, Rooshi Nathwani2, Marigona Krasniqi2, Sofia Azam2, Thomas Barbera2, Francesca M Trovato3, Lucia Possamai2, Evangelos Triantafyllou2, Rocio Castro Seoane2, Fanny Lebosse2, Arjuna Singanayagam2, Naveenta Kumar2, Christine Bernsmeier2,3, Sujit Mukherjee2, Mark McPhail3, Chris J Weston4, Charalambos Gustav Antoniades2, Mark R Thursz2.
Abstract
OBJECTIVE: Identifying components of immuneparesis, a hallmark of chronic liver failure, is crucial for our understanding of complications in cirrhosis. Various suppressor CD4+ T cells have been established as potent inhibitors of systemic immune activation. Here, we establish the presence, regulation and mechanism of action of a suppressive CD4+ T cell subset expressing human leucocyte antigen G (HLA-G) in patients with acute decompensation of cirrhosis (AD).Entities:
Keywords: immunology in hepatology; immunoregulation
Mesh:
Substances:
Year: 2021 PMID: 34344786 PMCID: PMC9120410 DOI: 10.1136/gutjnl-2021-324071
Source DB: PubMed Journal: Gut ISSN: 0017-5749 Impact factor: 31.793
Demographics and clinical parameters of patients with SC, CD and AD and HCs
| Parameter | HCs (n=20) | SC (n=28) | CD (n=20) | AD (n=50) |
| Age—years | 38.00 (32.00–50.50) | 58.00† (49.50–63.50) | 55.50† (47.25–62.00) | 49.50 (42.00–58.00) |
| Gender—n (%) | ||||
| Male | 14/20 (70%) | 21/28 (75%) | 14/20 (70%) | 37/50 (74%) |
| Female | 6/20 (30%) | 7/28 (25%) | 6/20 (30%) | 13/50 (26%) |
| Aetiology—n (%) | ||||
| Alcoholic liver disease (ALD) | NA | 19/28 (67.8%) | 12/20 (60%) | 32/50 (64%) |
| Hepatitis C** | NA | 2/28 (7.14%) | – | 3/50 (6%) |
| Hepatitis C+ALD | NA | – | – | 1/50 (2%) |
| Autoimmune hepatitis | NA | – | 2/20 (10%) | 2/50 (4%) |
| NAFLD | NA | 3/28 (10.7%) | – | 6/50 (12%) |
| Cryptogenic | NA | 3/28 (10.7%) | – | 3/50 (6%) |
| Other†† | NA | 1/28 (3.5%) | 6/20 (30%) | 3/50 (6%) |
| White cell count—×109/L | NA | 4.65‡*** (3.75–6.03) | 4.415§*** (2.648–6.155) | 8.52‡***§*** (6.30–15.14) |
| Neutrophils—×109/L | NA | 2.92‡*** (2.10–4.20) | 2.50§*** (1.88–4.01) | 6.20‡***§*** (3.78–10.52) |
| Monocytes—×109/L | NA | 0.410‡*** (0.30–0.60) | 0.33§*** (0.21–0.487) | 0.87‡***§*** (0.47–1.20) |
| Lymphocytes—×109/L | NA | 1.19 (0.82–1.61) | 0.93 (0.70–1.41) | 1.10 (1.57–0.61) |
| MELD score | NA | 10.90‡***¶* (7.85–15.68) | 16.53¶* (10.92–23.13) | 26.10‡*** (15.8–33.00) |
| SOFA score (CLIF-SOFA score in ACLF) | NA | NA | 3.50§*** (3.00–4.00) | 12.00§*** (8.50–14.50) |
| CLIF AD score (in AD) | NA | NA | NA | 54.50 (45.75–62.13) |
| Child-Pugh score | NA | 8.00‡*** (6.00–9.00) | 8.50§** (7.00–10.00) | 11.00‡***§** (9.00–12.00) |
| Creatinine—µmol/L | NA | 72.00¶*** (57.75–88.75) | 66.50§***¶*** (54.00–88.75) | 78.50*** (58.5–131.8) |
| Bilirubin—µmol/L | NA | 26.5¶*** (16.50–50.25) | 2.54§***¶*** (1.50–7.58) | 59.00§*** (26.0–154.0) |
| CRP—mg/L | NA | 5.05‡*** (2.40–15.58) | 13.60§*** (6.60–17.80) | 33.80‡***§*** (16.90–68.00) |
| INR | NA | 1.28‡*** (1.10–1.60) | 1.36§* (1.190–1.783) | 1.72‡***§* (1.46–2.02) |
| Ammonia—µmol/L | NA | ND | 56.00§*** (46.00–111.0) | 133.80§*** (126.0–136.0) |
| Type of precipitating events—n (%)‡‡ | ||||
| GI bleed | 19 (38%) | |||
| Infection | 13 (26%) | |||
| Acute alcohol injury | NA | NA | NA | 3 (6%) |
| Any of the events in combination | 7 (14%) | |||
| Unknown | 8 (16%) | |||
| Number of precipitating events—n (%) | ||||
| 1 | 35 (70%) | |||
| ≥2 | 7 (14%) | |||
| Mortality from enrolment—n (%) | NA | NA | NA | 24 (48%) |
| 90-day mortality | ||||
Values represent medians (IQR) unless otherwise stated.
Multiple comparison testing between more than two groups was carried out using Kruskal-Wallis test with Dunn’s test post hoc intergroup comparison. Mann-Whitney U test used for comparison between two groups.
*P<0.0005 and ***p<0.0001.
†Significant differences in age compared with HCs, p=0.0005.
‡Comparison between AD and SC.
§Comparison between AD and CD.
¶Comparison between SC and CD.
**Treated hepatitis C.
††Other aetiologies include Wilson’s disease, Alagille syndrome, chronic Budd-Chiari syndrome and primary sclerosing cholangitis.
‡‡Numbers and percentages presented are in GI bleed alone versus infection alone versus acute alcohol injury alone. Seven patients (14%) had more than one type of event (three patients presented with infection and GI bleed/two with acute alcohol injury and infection, one with GI bleed and acute alcohol injury and one with the three precipitating events).
ACLF, acute-on-chronic-liver failure; AD, acute decompensation of cirrhosis; CD, chronic decompensated cirrhosis; CLIF-SOFA, chronic liver failure-sequential organ failure assessment; CRP, C reactive protein; HCs, healthy controls; INR, international normalised ratio; MELD, model for end-stage liver disease; NA, not applicable; NAFLD, non-alcoholic fatty liver disease; ND, not determined; SC, stable cirrhosis.
Figure 1Expansion of CD4+HLA-G+ T cell population in patients with acute decompensation of cirrhosis (AD). Peripheral blood mononuclear cells (PBMCs) from healthy controls (HCs) (n=20) and patients (stable cirrhosis (SC), n=28; chronic decompensated cirrhosis (CD), n=20 and AD, n=50) were assessed for surface levels of human leucocyte antigen G (HLA-G) using flow cytometry (gating strategy online supplemental figure S1A). (A) Representative flow cytometry histograms used to determine HLA-G levels, all gated based on fluorescence-minus-one (FMO) controls (left panel). Percentage of HLA-G expressing cells in CD3+CD4+CD8-T cells in HCs compared with patients with SC, CD and AD (right panel). (B) Representative histograms of immunoglobulin-like transcript 4 (ILT4) levels on monocytes in HCs and patients (SC, CD and AD) (left panel). Distribution of ILT4+ monocytes in HCs and in patients (right panel). (C) Correlation of the frequency of CD4+HLA-G+ T cells with clinical parameters and disease severity scores in patients with AD (model for end-stage liver disease (MELD) scores, Child-Pugh (CP), white cell count (WCC) and C reactive protein (CRP)). (D) Distribution of CD4+HLA-G+ T cells with increasing disease severity in patients within the AD cohort (AD-No ACLF, n=25; AD-acute-on-chronic-liver failure (ACLF), n=25) compared with SC (n=28) (top panel). Distribution of CD4+HLA-G+ T cells across the clinical phenotypes of AD (stable decompensated cirrhosis (SDC), n=8; unstable decompensated cirrhosis (UDC), n=13) and AD-ACLF (n=25) (no analyses of the pre-ACLF were performed due to the limited number of this phenotype in the patient cohort) (bottom panel). (E) Distribution of CD4+HLA-G+ T cells in non-surviving (n=24) and surviving patients (n=23) with AD within 90 days following admission. (F) HLA-G expression was assessed in patients with AD who developed culture-positive primary infections (n=11) and the ones who developed culture-negative infections (n=9) (left panel). Distribution of HLA-G+ T cells was compared in patients withh AD who developed short-term secondary infections (n=9) (<28 days) and the ones who developed it in >28 days (n=6) (right panel). Non-parametric statistical analysis was used (Mann-Whitney U test for two group comparison and Kruskal-Wallis followed by a Dunn’s test for multiple comparisons between more than two groups). Data are presented as median values with IQR. Correlation coefficients (r) and correlation p values were tested using non-parametric Spearman’s correlation test. *P<0.05; ***p<0.0005.
Figure 2Immunophenotyping to characterise CD4+HLA-G+ population in patients with acute decompensation of cirrhosis (AD) demonstrates that the population is CTLA-4highIL35highIL-10low. (A) Representative flow dot plots and histograms of surface levels of inhibitory marker CTLA-4 assessed in CD4+HLA-G+ (left panel). CTLA-4 levels on CD4+HLA-G+ T cells in healthy controls (HCs) and in patients with AD (right panel). (B) Representative dot plots of intracellular cytokine staining used to define levels of interleukin (IL)-35 in the CD4+HLA-G+ population (left panel). Co-expression of HLA-G and IL-35 in HCs compared with patients with AD (right panel). (C) CD4+HLA-G+ T cells assessed for their co-expression of IL-35 and IL-10 in patients with AD (n=14). Mann-Whitney U test for two group comparison. Data are presented as median values with IQR. HLA-G, human leucocyte antigen G; CTLA-4, cytotoxic T lymphocyte antigen-4; FMO, fluorescence minus one.
Figure 3Transcriptional and functional features of CD4+HLA-G+ T cells from patients with acute decompensation of cirrhosis (AD). (A) Quantitative analysis of immune-related gene in HLA-G+ compared to thymus-derived regulatory T cells (tTregs) and or HLA-G- counterparts from patients with AD (n=4) using NanoString Technologies. Data show Venn diagrams of significantly differentially expressed (DE) genes. (B) Volcano plots comparing HLA-G+ T cells to either tTregs or HLA-G- T cells. Gene names are listed for DE genes showing that gene expression pattern of immune-related genes in circulating CD4+HLA-G+ T cells are distinct from Tregs and HLA-G-negative counterparts. (C) HLA-G+ cells suppressive capacity on CPD-labelled responder peripheral blood mononuclear cells (PBMCs) proliferation. Representative histograms of live CD3+ T cells proliferating in the absence or presence of α-CD3 stimulation (top left panel). Representative flow histograms of proliferating CD3+ T cells in the presence of HLA-G+ fractions at the tested ratios (bottom left panel). Suppressive capacity of HLA-G+ (n=4) isolated from patients with AD after 5 days of co-culture (right panel). HLA-G, human leucocyte antigen G.
Figure 4Sera conditioning and the role of interleukin (IL)-35 in inducing CD4+HLA-G+ suppressor cells. (A) Assessment of the effect of sera at inducing HLA-G+ phenotype in cultured CD4+ T cells from healthy controls (HCs) following 48 hours of culture in the presence of 25% sera from HCs and patients with acute decompensation of cirrhosis (AD) (n=15 per group). (B) Proliferation of HC peripheral blood mononuclear cells (PBMCs) in the presence of HC or AD sera-induced human leucocyte antigen G (HLA-G) expression in CD4+ T cells (results are representative of seven independent experiments). (C) Concentrations of IL-35 in sera samples were measured in HCs (n=25) and patients with AD (n=25). (D) Measurement of the role of IL-35 in driving the HLA-G-positive phenotype (left panel) and its effect on proliferation responses (right panel). Anti-IL-35 neutralising antibody (α-IL-35, used at 10 µg/mL) (n=12) was used to block IL-35 prior to sera exposure. This was suppressed when sera from patients with AD were pretreated with neutralising IL-35 antibody. Mann-Whitney U test for two group comparison and Wilcoxon matched pairs signed rank test was used for all paired non-parametric tests. Data are presented as median values with IQR.
Figure 5Immunohistochemical and in vitro evaluation of sources of interleukin (IL)-35 from diseased liver. (A) Immunohistochemistry (IHC) was used to detect and quantify IL-35 (EBI3) in liver explants tissues of patients with acute decompensation of cirrhosis (AD) compared with pathological stable cirrhosis (SC) control (alcohol-related cirrhosis). Single stain for IL-35, detected using DAB (brown), nuclei detected using haematoxylin (blue) with 200× magnification. (B) Double stain for IL-35 (brown) and intrahepatic CD68+ tissue Kupffer cells (KCs) (CD68 detected using Permanent Red (red)). Nuclei were detected using haematoxylin (blue) with 200× magnification (top panels). For pseudofluorescence, IL-35, CD68 and nuclei were visualised by red, green and blue, respectively. Co-localisation of IL-35 and CD68 was visualised by yellow (bottom panels). (C) Human primary KCs were assessed for their capacity to secrete IL-35 in vitro following no stimulation (n=9), stimulation with high mobility group box 1 (HMGB1) (n=9) or Escherichia coli lipopolysaccharide (LPS) (n=10) and simultaneous stimulation with both LPS+HMGB1 (n=9). ELISA was used to detect IL-35 concentrations in collected supernatants following 48 hours incubation. (D) Receptors involved in the signalling pathways were tested for their role in the LPS-induced IL-35 secretion through blockade of CD14 (n=6) and toll-like receptor 4 (TLR-4) receptors (n=6). Kruskal-Wallis followed by a Dunn’s test for multiple comparisons between more than two groups. Data are presented as median values with IQR. *P<0.05; **p<0.005; ***p<0.0005.
Figure 6CD4+HLA-G+ T cells suppressive capacity is reversed following blockade of cytotoxic T lymphocyte antigen-4 (CTLA-4), whereas blockade of human leucocyte antigen G (HLA-G) impairs T helper 17 (Th17)-related cytokine secretion. (A) HLA-G expressing cells generated following preconditioning of CD4+ T cells in sera from patients with acute decompensation of cirrhosis (AD) were tested for their capacity to suppress proliferating peripheral blood mononuclear cells (PBMCs) in the presence of absence of α-CTLA-4 (10 µg/mL) (n=8). (B) Levels of cytokines playing a role in T cell proliferation/function in supernatants collected following 5-day co-cultures of CD4+HLA-G+ T cells with PBMCs with or without α-CTLA-4 were measured using multiplex cytokine detection system (n=8). (C) Blockade of HLA-G restored production of Th17-related cytokines/chemokines. Wilcoxon matched pairs signed rank test was used for all paired non-parametric tests. Data are presented as median values with IQR.