Abstract
Background
Anti-soluble liver antigen/liver pancreas (anti-SLA/LP) is a highly specific serological marker for the diagnosis of autoimmune hepatitis (AIH). The aim of the present study was to define the clinical characteristics and human leucocyte antigen (HLA) genotypes of Chinese patients with anti-SLA/LP positive AIH.
Methods
Ninety-one AIH patients who were anti-SLA/LP positive were enrolled in this case control study. Clinical information was obtained through reviewing patients’ clinical notes. High-resolution genotyping of HLA-A, B, C, DRB1, and DQB1 alleles was performed by sequence-based typing polymerase chain reaction on 62 of the 91 patients. Data from 500 healthy patients were used as baseline controls.
Results
Anti-SLA/LP-positive AIH patients were characterized as follows: adults (age 20–80 years), female (88%), and frequent anti-nuclear antibody positivity (91%). Genetically, compared with the controls, HLA-B*35:01 and C*08:01 were significantly more frequent in patients. The frequencies of HLA-B*08:01, B*40:02, DRB1*04:01, DRB1*04:05, DRB1*14:01, and DRB1*16:02 increased, and the frequency in DRB1*15:01 decreased in patients, but did not reach significance after Bonferroni’s correction. Patients with other autoimmune diseases had a higher DRB1*04:05 and DQB1*04:01 allele carrier frequency than those without. DRB1*04:05 and DQB1*04:01 alleles were found at increased frequency in patients with decompensated liver disease than those with compensated liver disease.
Conclusions
Chinese anti-SLA/LP-positive AIH patients have some distinct clinical characteristics than other populations reported in the literature. The presence of certain specific HLA alleles could potentially increase the risk of developing anti-SLA/LP-positive AIH or other autoimmune disease and decompensated liver disease in the Chinese population.
Keywords: Autoimmune hepatitis (AIH), anti-soluble liver antigen/liver pancreas, human leucocyte antigen (HLA)
Introduction
Autoimmune hepatitis (AIH) is an autoimmune disease characterized by liver parenchymal cell damage. Patients are mostly female, with elevated liver enzymes, immunoglobulin G (IgG), multiple autoantibodies in the serum, and lymphoplasmacytic inflammation in the liver tissues (1-3). The International Autoimmune Hepatitis Group (IAIHG) has established comprehensive criteria for the diagnosis of AIH, which combines serological, clinical, and pathological parameters after excluding other liver diseases, such as viral hepatitis, alcoholic liver disease, and drug-induced liver damage (4). The presence of autoantibodies in patients’ serum is an important criterion for the diagnosis of AIH. Anti-nuclear antibody (ANA), anti-smooth muscle antibody (ASMA), anti-liver kidney microsomal antibody type 1 (anti-LKM1), and/or anti-liver cytosol type 1 (anti-LC1) autoantibodies constitute the conventional serological repertoire for the diagnosis of AIH (5,6). ANA and ASMA are detected in 80% and 63% of white North American adults with AIH at presentation, respectively. ANA and ASMA can also occur as an isolated serological finding in other liver diseases, such as primary sclerosing cholangitis, chronic hepatitis C, and hepatitis B. Serum anti-SLA/LP, as non-conventional autoantibodies, has been shown to be a highly specific biomarker for the diagnosis of AIH, but its prevalence in AIH patients is only 10–20% (1,7-10). A multicenter retrospective study of autoimmune liver disease in China showed that only 6% (16/248) of AIH patients were anti-SLA/LP positive (3). However, only a few reports have been published, and these have only involved a small number of cases; therefore, the clinical characteristics of anti-SLA/LP-positive Chinese AIH patients have not been well documented (9,11,12).
The general consensus in the scientific community is that AIH results from the combination of genetic and environmental factors. Genetic susceptibility to AIH is strongly associated with human leucocyte antigen (HLA) genes. Czaja et al. reported that the HLA-DRB1*03:01 allele in white North American patients was associated with disease occurrence and severity by affecting autoantigen presentation and/or by synergizing with other autoimmune promoters (13). Few studies have addressed the frequency and significance of specific HLA in selected groups of anti-SLA/LP-positive AIH patients. It has been shown that HLA DR3 functions as an independent genetic risk factor for the development of anti-SLA/LP-positive type 1 AIH in Europe (13-15). However, the role of HLA polymorphisms in Chinese AIH patients with anti-SLA/LP has never been sufficiently evaluated.
In the present study, we first analyzed the clinical characteristics of 91 Chinese AIH patients with anti-SLA/LP. We then evaluated the associations between HLA class I (A, B, C) and II (DRB1, DQB1) gene polymorphisms and disease susceptibility in the largest cohort of Chinese anti-SLA/LP-positive AIH patients to date. Our data provide new insight into the correlation of specific HLA alleles with the risk of anti-SLA/LP-positive AIH in the Chinese population.
We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/atm-20-8036).
Methods
Patients
Between January 2003 and August 2019, 110 patients with anti-SLA/LP-positive AIH were recruited from Beijing Youan Hospital. Of these patients, 12 had a diagnosis of overlapping AIH and primary biliary cholangitis (PBC) and 7 patients had positive hepatitis B virus (HBV) and/or hepatitis C virus (HCV) virology; these 19 patients were excluded from the present study (Figure 1). The remaining 91 patients with anti-SLA/LP-positive AIH were enrolled in this case control study. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013). The Institutional Ethics Review Board of Beijing Youan Hospital, Capital Medical University, approved the study (No. [2012]44). Informed consent was obtained from each participant. AIH diagnosis was made based on the diagnosed criteria for AIH (3,4,7,16). Liver biopsy was available in 39 anti-SLA/LP-positive patients.
Figure 1.
Flowchart of the search and identification of patients with anti-soluble liver antigen/liver pancreas (anti-SLA/LP)-positive autoimmune hepatitis (AIH).
Serological assays
Serum anti-SLA/LP was determined by commercially available enzyme-linked immunosorbent assay (ELISA kits (EUROIMMUN, Lubeck, Germany) following the manufacturer’s instructions. ELISA results were classified as positive when values >20 RU/mL. Other autoantibodies, including ANA, ASMA, and anti-LKM were measured by indirect immunofluorescence (EUROIMMUN, Germany). A titer ≥1:100 was interpreted as positive. Anti-LC1 was measured by western blot (Shenzhen YHLO Biotech, Shenzhen, China).
All samples were tested for hepatitis B surface antigen and anti-HCV (HCV) antibodies by chemiluminescence using the Cobase 601 Analyzer (Roche Diagnostics GmbH, Mannheim, Germany) according to the manufacturer’s protocols.
HLA class genotyping
In 62 of the 91 anti-SLA/LP-positive AIH patients, peripheral whole blood was available for HLA genotyping. Five hundred healthy patients who were used in a previous study were adopted as controls (17). Genomic DNA was purified from peripheral whole blood using the hydrochloride method, as described previously (17,18). The HLA class Ι (A, B, and C) and class II (DRB1 and DQB1) allelic genotypes were determined using sequence-based typing polymerase chain reaction at the Beijing Genomics Institute, Shenzhen (BGI Shenzhen, Shenzhen, China) (17).
Statistical analysis
SPSS version 17.0 software (SPSS, Chicago, IL, USA) was used for the statistical analysis. Results were expressed as median (range). Allele distributions were compared between patients and controls using the χ2-test or Fisher’s exact tests. Two-sided P<0.05 was considered statistically significant. For multiple testing, P values were corrected (Pc) by the number of comparisons, according to Bonferroni’s inequality method. Association strengths were estimated by calculating the odds ratio and 95% confidence interval.
Results
Clinical characteristics of the 91 AIH patients with anti-SLA/LP
The clinical information of the 91 anti-SLA/LP-positive AIH patients is shown in Table 1. The patient population was characterized as follows: adults (age 20–80 years), female (88%), with frequent concurrent positive serum ANA and negative anti-LKM and anti-LC1. More than one-third of patients had decompensated liver cirrhosis and acute-on-chronic hepatic failure.
Table 1. Clinical characteristic of anti-soluble liver antigen-/liver pancreas (anti-SLA/LP)-positive autoimmune hepatitis patients.
| Clinical parameters | Value |
|---|---|
| Age (year), median (range) | 55 [20–80] |
| Sex, n (%) | |
| Female | 80 (87.9) |
| Male | 11 (12.1) |
| ALT (U/L), median (range) | 77.6 (42.0–2,181) |
| AST (U/L), median (range) | 99.8 (43.7–1,883) |
| TBil (μmol/L), median (range) | 27.5 (0.56–508.1) |
| ALB (g/L), median (range) | 35.4 (11.3–47.9) |
| GLOB (g/L), median (range) | 37.9 (21.3–170.8) |
| γ-GT (U/L), median (range) | 65.2 (3.67–1,044.7) |
| ALP (U/L), median (range) | 106.8 (43.8–1,906.3) |
| IgG (g/dl), median (range) | 23 (9.44–71.4) |
| ANA ≥1:100, n (%) | 83 (91.2) |
| ASMA ≥1:100, n (%) | 15 (16.5) |
| AMA ≥1:100, n (%) | 8 (8.8) |
| Anti-SLA/LP ≥20 RU/mL, n (%) | 91 (100.0) |
| Anti-LKM ≥1:100, n (%) | 0 (0.0) |
| Anti-LC1 positive, n (%) | 0 (0.0) |
| End-stage liver disease cases, n (%) | 31 (34.1) |
| Decompensated stage of cirrhosis | 24 (26.4) |
| Progression to hepatic failure | 5 (5.5) |
| Liver transplantation | 1 (1.1) |
| Death from liver failure | 1 (1.1) |
Values are expressed as median (range) unless otherwise noted. ALB, albumin; ALP, alkaline phosphatase; ALT, alanine aminotransferase; AMA, anti-mitochondrial antibody; ANA, anti-nuclear antibody; anti-LC1, anti-liver cytosol type 1 antibody; anti-LKM, anti-liver and kidney microsomal antibody; ASMA, anti-smooth muscle antibody; AST, aspartate aminotransferase; GLOB, globulin; γ-GT, gamma-glutamyl transpeptidase; IgG, immunoglobulin G; TBil, total bilirubin.
Twenty-two patients had other concurrent autoimmune diseases, including hypothyroidism (n=8, 8.8%), Sjogren syndrome (n=4, 4.4%), systemic lupus erythematous (n=3, 3.3%), interstitial pneumonitis (n=3, 3.3%), rheumatoid arthritis (n=2, 2.2%), autoimmune anemia (n=1, 1.1%), and type 1 diabetes mellitus (n=1, 1.1%). As shown in Table 2, the level of albumin in those with other autoimmune diseases was lower than those with AIH alone. There were no significant differences in age, sex, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBil), globulin (GLOB), gamma-glutamyl transpeptidase (γ-GT), alkaline phosphatase (ALP), and immunoglobulin G (IgG) between patients with superimposed other autoimmune diseases and those without.
Table 2. Comparison of clinical and laboratory findings between those with and without other autoimmune diseases in an anti-soluble liver antigen/liver pancreas (anti-SLA/LP)-positive autoimmune hepatitis patient population.
| Features | With autoimmune diseases (n=22) | Without autoimmune diseases (n=69) | P value |
|---|---|---|---|
| Age (year), median (range) | 56 [28–80] | 53 [20–79] | 0.189 |
| Sex (female/male) | 18/4 | 65/4 | 0.176 |
| Anti-SLA/LP (RU/mL), median (range) | 291.0 (21.5–543.3) | 295.9 (20.3–544.1) | 0.184 |
| ALT (U/L), median (range) | 43.0 (49.4–2,005.2) | 90.8 (42.0–2,181.0) | 0.205 |
| AST (U/L), median (range) | 73.6 (45.5–1,277.6) | 107.8 (43.7–1,883.0) | 0.400 |
| TBil (μmol/L), median (range) | 33.4 (0.53–482.2) | 24.5 (0.56–508.1) | 0.337 |
| ALB (g/L), median (range) | 32.1 (15.9–44.4) | 37.3 (11.3–47.9) | 0.013* |
| GLOB (g/L), median (range) | 39.8 (29.0–68.1) | 37.8 (21.3–96.7) | 0.422 |
| γ-GT (U/L), median (range) | 55.0 (3.82–397.2) | 83.9 (3.67–1,044.7) | 0.241 |
| ALP (U/L), median (range) | 119.0 (55.2–439.8) | 103.5 (43.8–1,906.3) | 0.298 |
| IgG (g/dL), median (range) | 23.2 (15.9–42.0) | 22.3 (9.4–71.4) | 0.313 |
*, P<0.05. Values are expressed as median (range) unless otherwise noted. ALB, albumin; ALP, alkaline phosphatase; ALT, alanine aminotransferase; AST, aspartate aminotransferase; GLOB, globulin; γ-GT, gamma-glutamyl transpeptidase; IgG, immunoglobulin G; TBil, total bilirubin.
A positive anti-SLA/LP ELISA based on the manufacturer’s cutoff of 20 RU was identified in 91 patients’ sera. Sixty-five patients (65/91, 71.4%) had a strong positive anti-SLA/LP value of ≥200 RU/mL. Patients were divided into 3 different age groups: group 1: 20–40 years, group 2: 41–60 years, and group 3: 61–80 years. The distribution of anti-SLA/LP in the patient population among different age groups is shown in Figure 2. Most anti-SLA/LP-positive AIH patients (55/91, 60.4%) were in the 41–60-year-old group. The median anti-SLA/LP titer showed a downward trend with increasing age.
Figure 2.
Scatterplot of anti-soluble liver antigen/liver pancreas immunoglobulin G enzyme-linked immunosorbent assay results for different age groups. Group 1: 20–40 years, group 2: 41–60 years, group 3: 61–80 years. Black dotted line indicates cutoff of 20 units.
HLA genotype characteristics of anti-SLA/LP-positive AIH patients
In 62 of the 91 anti-SLA/LP-positive AIH patients, peripheral whole blood was available for high-resolution genotyping of HLA class Ι (A, B, and C) and II (DRB1 and DQB1). The genotype frequencies were then compared with those of 500 previously genotyped healthy patients (15).
As seen in Table 3, among the HLA class Ι alleles, the frequency of HLA-B*35:01 and C*08:01 was significantly higher in anti-SLA/LP-positive AIH patients than healthy patients (22.6% vs. 8.2%, P=0.0011/Pc=0.0332; 32.3% vs. 12.8%, P=0.0002/Pc=0.0041, respectively). There was a trend of higher representation of HLA-B*08:01 and B*40:02 alleles in anti-SLA/LP-positive AIH patients than healthy patients (8.1% vs. 1.6%, P=0.0089/Pc=0.1294; 11.3% vs. 4%, P=0.0211/Pc=0.12942039, respectively). Among the HLA class II alleles, anti-SLA/LP-positive AIH patients showed a clear trend of higher frequency in DRB1*04:01, DRB1*04:05, DRB1*14:01, and DRB1*16:02 alleles compared with healthy patients (8.1% vs. 1.6%, P=0.0089/Pc=0.2139; 21.0% vs. 10.4%, P=0.0201/Pc=0.2139; 3.2% vs. 0.2%, P=0.0334/Pc=0.2139; 12.9% vs. 5.2%, P=0.0411/Pc=0.2139, respectively), and a clear trend of lower frequency in the DRB1*15:01 HLA allele (14.5% vs. 27.4%, P=0.0312/Pc=0.2139) (Table 4). There was no significant difference in the HLA-DQB1 allele frequency between anti-SLA/LP-positive AIH patients and healthy patients.
Table 3. Statistical comparison of representative human leucocyte antigen (HLA)-A,B,C allele frequency between anti-soluble liver antigen-/liver pancreas (anti-SLA/LP)-positive autoimmune hepatitis (AIH) patients and controls.
| Allele | Anti-SLA/LP positive (n=62) | Controls (n=500) | P value | Pc | OR | 95% CI | |||
|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | ||||||
| B*08:01 | 5 | 8.1 | 8 | 1.6 | 0.0089 | 0.1294 | 5.37 | 1.33–19.35 | |
| B*35:01 | 14 | 22.6 | 41 | 8.2 | 0.0011 | 0.0332 | 3.26 | 1.53–6.64 | |
| B*40:02 | 7 | 11.3 | 20 | 4.0 | 0.0211 | 0.2039 | 3.05 | 1.04–7.93 | |
| C*08:01 | 20 | 32.3 | 64 | 12.8 | 0.0002 | 0.0041 | 3.23 | 1.69–6.06 | |
Associations were tested by Fisher’s extract test using 2×2 contingency tables. OR and its 95% CI for the carrier of HLA were calculated in two groups. Pc values were calculated using Bonferroni’s procedure. HLA-A–C alleles detected at similar frequencies in AIH patients with anti-SLA/LP and normal controls are not shown. CI, confidence interval; OR, odds ratio; Pc, corrected P value.
Table 4. Human leucocyte antigen (HLA)-DRB1 allele carrier frequency in patients with anti-soluble liver antigen-/liver pancreas (anti-SLA/LP)-positive autoimmune hepatitis (AIH) patients and controls.
| Allele | Anti-SLA/LP positive (n=62) | Controls (n=500) | P value | Pc | OR | 95% CI | |||
|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | ||||||
| DRB1*01:01 | 1 | 1.6 | 28 | 5.6 | 0.2353 | 0.5925 | 0.28 | 0.01–1.74 | |
| DRB1*03:01 | 8 | 12.9 | 39 | 7.8 | 0.2185 | 0.5925 | 1.75 | 0.67–4.06 | |
| DRB1*04:01 | 5 | 8.1 | 8 | 1.6 | 0.0089* | 0.2139 | 5.37 | 1.33–19.35 | |
| DRB1*04:02 | 1 | 1.6 | 2 | 0.4 | 0.2963 | 0.5925 | 4.07 | 0.07–79.03 | |
| DRB1*04:03 | 1 | 1.6 | 11 | 2.2 | 1.0000 | 1.0000 | 0.73 | 0.02–5.18 | |
| DRB1*04:04 | 2 | 3.2 | 9 | 1.8 | 0.3469 | 0.6013 | 1.82 | 0.19–9.07 | |
| DRB1*04:05 | 13 | 21.0 | 52 | 10.4 | 0.0201* | 0.2139 | 2.28 | 1.06–4.63 | |
| DRB1*04:06 | 1 | 1.6 | 14 | 2.8 | 1.0000 | 1.0000 | 0.57 | 0.01–3.87 | |
| DRB1*04:10 | 1 | 1.6 | 2 | 0.4 | 0.2963 | 0.5925 | 4.07 | 0.07–79.03 | |
| DRB1*07:01 | 11 | 17.7 | 101 | 20.2 | 0.7378 | 1.0000 | 0.85 | 0.39–1.73 | |
| DRB1*08:03 | 7 | 11.3 | 45 | 9.0 | 0.493 | 0.8012 | 1.29 | 0.47–3.07 | |
| DRB1*09:01 | 18 | 29.0 | 112 | 22.4 | 0.2639 | 0.5925 | 1.42 | 0.74–2.62 | |
| DRB1*10:01 | 1 | 1.6 | 9 | 1.8 | 1.0000 | 1.0000 | 0.89 | 0.02–6.65 | |
| DRB1*11:01 | 3 | 4.8 | 53 | 10.6 | 0.1821 | 0.5925 | 0.43 | 0.08–1.39 | |
| DRB1*12:01 | 4 | 6.5 | 42 | 8.4 | 0.8063 | 1.0000 | 0.75 | 0.19–2.19 | |
| DRB1*12:02 | 8 | 12.9 | 74 | 14.8 | 0.849 | 1.0000 | 0.85 | 0.34–1.9 | |
| DRB1*13:02 | 1 | 1.6 | 29 | 5.8 | 0.2346 | 0.5925 | 0.27 | 0.01–1.67 | |
| DRB1*14:01 | 2 | 3.2 | 1 | 0.2 | 0.0334* | 0.2139 | 16.46 | 0.85–976.16 | |
| DRB1*14:03 | 2 | 3.2 | 6 | 1.2 | 0.2175 | 0.5925 | 2.74 | 0.26–15.75 | |
| DRB1*14:04 | 1 | 1.6 | 11 | 2.2 | 1.0000 | 1.0000 | 0.73 | 0.02–5.18 | |
| DRB1*14:05 | 2 | 3.2 | 21 | 4.2 | 1.0000 | 1.0000 | 0.76 | 0.08–3.24 | |
| DRB1*14:07 | 1 | 1.6 | 7 | 1.4 | 1.0000 | 1.0000 | 1.15 | 0.03–9.23 | |
| DRB1*14:54 | 1 | 1.6 | 26 | 5.2 | 0.3441 | 0.6013 | 0.3 | 0.01–1.89 | |
| DRB1*15:01 | 9 | 14.5 | 137 | 27.4 | 0.0312* | 0.2139 | 0.45 | 0.19–0.95 | |
| DRB1*15:02 | 4 | 6.5 | 37 | 7.4 | 1.0000 | 1.0000 | 0.86 | 0.22–2.53 | |
| DRB1*16:02 | 8 | 12.9 | 26 | 5.2 | 0.0411* | 0.2139 | 2.69 | 1.00–6.52 | |
*, P<0.05. Associations were tested by Fisher’s extract test using 2×2 contingency tables. OR and its 95% CI for the carrier of HLA were calculated in two groups. Pc values were calculated using Bonferroni’s procedure. CI, confidence interval; OR, odds ratio; Pc, corrected P value.
We further analyzed the associations between HLA and the patients’ clinical and laboratory parameters, including age, sex, titer of anti-SLA/LP, compensated versus decompensated liver disease status, and if the patients had other concomitant autoimmune diseases or not. There was no significant difference in the frequencies of HLA alleles among groups of different age and sex (data not shown). Among the groups of different titer of anti-SLA/LP, the HLA-A*33:03 allele frequency increased in the titer of 20–200 RU/mL than that of ≥200 RU/mL (25.9% vs. 2.9%, P=0.0168), the DQB1*03:02 allele frequency decreased in the titer of 20–200 RU/mL than that of the ≥200 RU/mL group (0 vs. 22.9%, P=0.0076) (Table S1). The HLA-B*15:18, DRB1*04:05, and DQB1*04:01 alleles were found at an increased frequency in patients with decompensated liver diseases than those with compensated liver diseases (17.6% vs. 0, P=0.0180; 52.9% vs. 8.9%, P=0.0005; 35.3% vs. 8.9%, P=0.0200, respectively) (Table S2). Anti-SLA/LP-positive AIH patients with other concomitant autoimmune diseases showed a trend of higher HLA-B*13:01, DRB1*04:05, and DQB1*04:01 allele carrier frequency than those without other autoimmune diseases (18.8 vs. 2.2%, P=0.0490; 43.8% vs. 13%, P=0.0280; 37.5% vs. 8.7%, P=0.0140, respectively) (Table S3).
Discussion
In 2000, Wies et al. provided evidence that anti-SLA and anti-LP were one and the same autoantibody (anti-SLA/LP) against a synthase converting O-phosphoseryl-tRNA to selenocysteinyl-tRNA (19). Structurally, SLA/LP has sequence homology with short segment of human asialoglycoprotein receptor (ASGPR), and this segment forms part of a hydrophobic membrane-spanning region. When SLA/LP is present on the cell membrane of hepatocytes, it becomes a target of immune cells (13). Determining the clinical characteristics of the associated susceptible HLA alleles could help us gain a better understanding of the pathogenesis of the unique population of anti-SLA/LP-positive AIH patients.
According to the American Association for the Study of Liver Diseases (6,20), AIH is generally divided into two types. AIH type 1 accounts for 95–96% of patients, mainly adults, with positive ANA and/or ASMA serology. Anti-SLA/LP-positive patients are included in this type. AIH type 2 accounts for 4–5% of patients, mainly children and adolescents, with positive anti-LKM1 and anti-LC1 serology. Mieli-Vergani et al. reported that a small population of pediatric patients also have serum anti-SLA/LP, and suggested that anti-SLA/LP can be in both types of AIH (1). In the current study, 110 anti-SLA/LP-positive patients from 850 diagnosed AIH patients (from the medical record database) were recruited between 2003 and 2019; anti-SLA/LP was present in 12.9% (110/850) of AIH. Among 110 patients with anti-SLA/LP-positive AIH, 12 patients with the diagnosis of overlapping AIH and PBC and 7 patients with positive HBV and/or HCV virology were excluded. The remaining 91 patients with anti-SLA/LP-positive AIH were enrolled in this case control study. All patients were >18 years old. ANA (91.2%) or ASMA (16.5%) was detectable in the 91 patients with anti-SLA/LP, while anti-LKM or anti-LC1 was not detected. That is, anti-SLA/LP-positive patients were only seen in AIH type 1, and not in AIH type 2. This phenomenon may be related to the low proportion of pediatric patients in our study population. As shown in Figure 2, the age distribution of anti-SLA/LP-positive cases in the present study shows a peak of 41–60 years, which is different to the AIH cases (including both types of AIH) reported in Denmark in a previously published study (21). In addition, more than one-third of the patients (34.1%) had decompensated liver cirrhosis and acute-on-chronic hepatic failure, and about one-quarter of the patients (24.2%) had other autoimmune diseases, which is characteristic of AIH patients with anti-SLA/LP.
The pathogenesis of AIH is still unclear. Like many other autoimmune diseases, genetic susceptibility is considered to be one of the important pathogenic factors of AIH. HLA is the most important genetic risk factor for AIH, and may influence disease occurrence and severity by affecting autoantigen presentation. Strettell et al. reported the association between HLA-C*07:01 allele and type 1 AIH in white patients (22). Umemura et al. demonstrated the association between HLA-C*01:02 allele with type 1 AIH in a Japanese population (23). In the present study, we found that the frequency of HLA-B*35:01 and C*08:01 alleles were significantly higher in anti-SLA/LP-positive AIH patients than normal patients. HLA-C alleles have been known to play a critical role in the autoimmune disease process through interaction with natural killer cells or cytotoxic T lymphocytes (22). Our findings on the association of HLA C*08:01 alleles with anti-SLA/LP-positive AIH support this.
The association between HLA-DRB1 and the risk of developing type I AIH has been reported. In European and US populations, HLA-DRB1*03:01and DRB1*04:01 are the most significant disease susceptible alleles of AIH-1 (24-26). These risk alleles were then confirmed in a of northern European large genome-wide association study (27). The presence of DRB1*04:05 was shown to increase the risk of AIH type 1 in Japanese and Chinese patients (23,28). In Spanish AIH patients, the HLA-DRB1*14:01 allele significantly increased the risk of AIH-1 (29). The DRB1*15:01 allele reduced the risk of AIH-1 in Japanese and European populations (20,23). Few studies have reported the association between HLA genotypes and serum autoantibodies. In AIH-2 patients, the frequency of the HLA-DRB1*03 allele is significantly higher in patients with both anti-LKM1 and anti-LC1 or in patients with only anti-LC1 compared with patients with only anti-LKM1. The frequency of the HLA-DRB1*07 allele was higher in AIH-2 patients who have only anti-LKM1 (30,31). In the present study, we found that the frequencies of HLA-B*08:01, B*40:02, DRB1*04:01, DRB1*04:05, DRB1*14:01, and DRB1*16:02 increased, and DRB1*15:01 decreased in Chinese AIH patients with anti-SLA/LP. The frequency of HLA-DRB1*04:05 and DQB1*04:01 alleles increased in patients with decompensated liver diseases than those with compensated liver diseases, the frequency of DRB1*04:05 and DQB1*04:01 alleles was higher in anti-SLA/LP-positive AIH patients with other autoimmune diseases than those with AIH alone. However, these associations did not reach statistical significance after Bonferroni’s correction. This might be attributed to the small sample size and should not be overlooked due to its important mechanistic and clinical implications.
In summary, we described the clinical characteristics and frequency of HLA class Ι and class II alleles in the largest series to date of anti-SLA/LP-positive Chinese AIH patients. In our study population, there was a statistically significant clear association between the presence of HLA-B*35:01 and C*08:01 and the risk of developing of anti-SLA/LP-positive AIH. There was also a trend of higher frequency of certain HLA DR alleles in Chinese anti-SLA/LP-positive AIH patients with decompensated liver diseases and with other concurrent autoimmune diseases. If validated in multicenter large-scale studies, these disease-specific HLA alleles could potentially become diagnostic genetic markers and targets of gene therapy.
Supplementary
The article’s supplementary files as
Acknowledgments
Funding: This work was supported by the Development Center for Medical Science and Technology, National Health, and Family Planning Commission of the People’s Republic of China (Grant No. 28-5-5).
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013). The Institutional Ethics Review Board of Beijing Youan Hospital, Capital Medical University, approved the study (No. [2012]44). Informed consent was obtained from each participant.
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/atm-20-8036
Data Sharing Statement: Available at http://dx.doi.org/10.21037/atm-20-8036
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