HLA Associations in pediatric autoimmune liver diseases: Current state and future research initiatives

Multi-clustering study on the association between human leukocyte antigen-DP-DQ and hepatitis B virus-related hepatocellular carcinoma and cirrhosis in Viet Nam

BACKGROUND

Human leukocyte antigen (HLA) class II molecules are cell surface receptor proteins found on antigen-presenting cells. Polymorphisms and mutations in the HLA gene can affect the immune system and the progression of hepatitis B.

AIM

To study the relation between rs2856718 of HLA-DQ, rs3077, and rs9277535 of HLA-DP, hepatitis B virus (HBV)-related cirrhosis, and hepatocellular carcinoma (HCC).

METHODS

In this case-control study, the genotypes of these single nucleotide polymorphisms (SNPs) were screened in 315 healthy controls, 471 chronic hepatitis B patients, 250 patients with HBV-related liver cirrhosis, and 251 patients with HCC using TaqMan real-time PCR. We conducted Hardy-Weinberg equilibrium and linkage disequilibrium tests on the genotype distributions of rs2856718, rs3077, and rs9277535 before hierarchical clustering analysis to build the complex interaction between the markers in each patient group.

RESULTS

The physical distance separating these SNPs was 29816 kB with the disequilibrium (D') values ranging from 0.07 to 0.34. The close linkage between rs3077 and rs9277535 was attributed to a distance of 21 kB. The D' value decreased from moderate in the healthy control group (D' = 0.50, P < 0.05) to weak in the hepatic disease group (D' < 0.3, P < 0.05). In a combination of the three variants rs2856718, rs3077, and rs9277535, the A allele decreased hepatic disease risk [A-A-A haplotype, risk ratio (RR) = 0.44 (0.14; 1.37), P < 0.05]. The G allele had the opposite effect [G-A/G-G haplotype, RR = 1.12 (1.02; 1.23), P < 0.05]. In liver cancer cases, the A-A-A/G haplotype increased the risk of HCC by 1.58 (P < 0.05).

CONCLUSION

Rs9277535 affects liver fibrosis progression due to HBV infection, while rs3077 is associated with a risk of HBV-related HCC. The link between rs2856718, rs3077, and rs9277535 and disease risk was determined using a multi-clustering analysis.

KM04416 suppressed lung adenocarcinoma progression by promoting immune infiltration

OBJECTIVES

Lung adenocarcinoma (LUAD) is a malignant tumor originating from the bronchial mucosa or glands of the lung, with the fastest increasing morbidity and mortality. Therefore, the prognosis of lung cancer remains poor. Glycerol-3-phosphate dehydrogenase 2 (GPD2) is a widely existing protein pattern sequence in biology and is closely related to tumor progression. The therapy values of GPD2 inhibitor in LUAD were unclear. Therefore, we aimed to analyze the therapy values of GPD2 inhibitor in LUAD.

MATERIALS AND METHODS

The Cancer Genome Atlas (TCGA)-LUAD database was used to analyze the expression levels of GPD2 in LUAD tissues. The relationship between GPD2 expression and LUAD patient survival was analyzed by Kaplan-Meier method. Moreover, KM04416 as a target inhibitor of GPD2 was used to further investigate the therapy value of GPD2 inhibitor in LUAD cells lines (A549 cell and H1299 cell). The TISIDB website was used to investigate the associations between GPD2 expression and immune cell infiltration in LUAD.

RESULTS

The results showed that GPD2 is overexpressed in LUAD tissues and significantly associated with poor survival. KM04416 can suppress the progression of LUAD cells by targeting GPD2. Low expression of GPD2 is related to high infiltration of immune cells.

CONCLUSIONS

In summary, our present study found that targeting inhibition of GPD2 by KM04416 can suppress LUAD progression via adjusting immune cell infiltration.

Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping

Fibrotic diseases affect multiple organs and are associated with morbidity and mortality. To examine organ-specific and shared biologic mechanisms that underlie fibrosis in different organs, we developed machine learning models to quantify T1 time, a marker of interstitial fibrosis, in the liver, pancreas, heart and kidney among 43,881 UK Biobank participants who underwent magnetic resonance imaging. In phenome-wide association analyses, we demonstrate the association of increased organ-specific T1 time, reflecting increased interstitial fibrosis, with prevalent diseases across multiple organ systems. In genome-wide association analyses, we identified 27, 18, 11 and 10 independent genetic loci associated with liver, pancreas, myocardial and renal cortex T1 time, respectively. There was a modest genetic correlation between the examined organs. Several loci overlapped across the examined organs implicating genes involved in a myriad of biologic pathways including metal ion transport (SLC39A8, HFE and TMPRSS6), glucose metabolism (PCK2), blood group antigens (ABO and FUT2), immune function (BANK1 and PPP3CA), inflammation (NFKB1) and mitosis (CENPE). Finally, we found that an increasing number of organs with T1 time falling in the top quintile was associated with increased mortality in the population. Individuals with a high burden of fibrosis in ≥3 organs had a 3-fold increase in mortality compared to those with a low burden of fibrosis across all examined organs in multivariable-adjusted analysis (hazard ratio = 3.31, 95% confidence interval 1.77-6.19; P = 1.78 × 10-4). By leveraging machine learning to quantify T1 time across multiple organs at scale, we uncovered new organ-specific and shared biologic pathways underlying fibrosis that may provide therapeutic targets.