TANC1 methylation as a novel biomarker for the diagnosis of patients with anti-tuberculosis drug-induced liver injury

Hormone correction of dysfunctional metabolic gene expression in stem cell-derived liver tissue

The increase in metabolic dysfunction-associated steatotic liver disease (MASLD) and its progression to metabolic dysfunction-associated steatohepatitis (MASH) is a worldwide healthcare challenge. Heterogeneity between men and women in the prevalence and mechanisms of MASLD and MASH is related to differential sex hormone signalling within the liver, and declining hormone levels during aging. In this study we used biochemically characterised pluripotent stem cell derived 3D liver spheres to model the protective effects of testosterone and estrogen signalling on metabolic liver disease 'in the dish'. We identified sex steroid-dependent changes in gene expression which were protective against metabolic dysfunction, fibrosis, and advanced cirrhosis patterns of gene expression, providing new insight into the pathogenesis of MASLD and MASH, and highlighting new druggable targets. Additionally, we highlight gene targets for which drugs already exist for future translational studies.

Epigenetic regulation on left atrial function and disease recurrence after catheter ablation in atrial fibrillation

BACKGROUND

Genetic variation and modifiable risk factors play a significant role in the pathogenesis of atrial fibrillation (AF). The influence of epigenetic modification on AF remains to be elucidated. We investigated the role of DNA methylation in the etiology of AF. Epigenetic evaluation was performed in 115 AF patients who underwent radiofrequency catheter ablation in a single institution. We measured methylation at approximately 850,000 bp cytosine-phosphate-guanine (CpG) sites in the 115 samples. The degree of methylation was compared across seven classification criteria: type of AF, late recurrence, impaired left atrium (LA) function, late gadolinium enhancement, LA diameter, LA volume, and flow velocity of the LA appendage.

RESULTS

The four most significantly methylated genes were DEFB104B, C3, TANC1, and TMEM9B. The DEFB104B gene (cg20223677 in the transcription start site), which encodes β-defensin 104B, was hypomethylated in three groups: AF patients with late recurrence, impaired LA function, and impaired LAA flow velocity. Enriched functional annotation of the differentially methylated datasets revealed that five out of the seven AF groups in this cohort were associated with genes involved in the cell movement of endothelial cell lines, sprouting angiogenesis by endothelial cell lines, or migration of endothelial cell lines.

CONCLUSIONS

Epigenetic profiling revealed that epigenetic modification might affect important characteristics of AF. Our results suggest that the pathogenesis of AF might be affected by not only genetic variation or modifiable factors but also by epigenetic modulation.

Association of a Novel DOCK2 Mutation-Related Gene Signature With Immune in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality worldwide. Many studies have shown that dedicator of cytokinesis 2 (DOCK2) has a crucial role as a prognostic factor in various cancers. However, the potentiality of DOCK2 in the diagnosis of HCC has not been fully elucidated. In this work, we aimed to investigate the prognostic role of DOCK2 mutation in HCC. The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) cohorts were utilized to identify the mutation frequency of DOCK2. Then, univariate Cox proportional hazard regression analysis, random forest (RF), and multivariate Cox regression analysis were performed to develop the risk score that was significantly related to DOCK2 mutation. Moreover, Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune correlation analysis were conducted for an in-depth study of the biological process of DOCK2 mutation involved in HCC. The results revealed that the mutation frequency of DOCK2 was relatively higher than that in non-cancer control subjects, and patients with DOCK2 mutations had a low survival rate and a poor prognosis compared with the DOCK2-wild group. In addition, the secretin receptor (SCTR), tetratricopeptide repeat, ankyrin repeat and coiled-coil domain-containing 1 (TANC1), Alkb homolog 7 (ALKBH7), FRAS1-related extracellular matrix 2 (FREM2), and G protein subunit gamma 4 (GNG4) were found to be the most relevant prognostic genes of DOCK2 mutation, and the risk score based on the five genes played an excellent role in predicting the status of survival, tumor mutation burden (TMB), and microsatellite instability (MSI) in DOCK2 mutant patients. In addition, DOCK2 mutation and the risk score were closely related to immune responses. In conclusion, the present study identifies a novel prognostic signature in light of DOCK2 mutation-related genes that shows great prognostic value in HCC patients; and this gene mutation might promote tumor progression by influencing immune responses. These data may provide valuable insights for future investigations into personalized forecasting methods and also shed light on stratified precision oncology treatment.

Relationship between DNA Methylation Profiles and Active Tuberculosis Development from Latent Infection: a Pilot Study in Nested Case-Control Design

Individuals with latent tuberculosis infection (LTBI) were regarded as an enormous reservoir of cases with active tuberculosis (TB). To strengthen LTBI management, biomarkers and tools are urgently required for identifying and ruling out active TB in a fast and effective way. Based on an open-label randomized controlled trial aiming to explore short-course LTBI treatment regimens, DNA methylation profiles were retrospectively detected to explore potential biomarkers, which could discriminate active TB from LTBI. The Infinium MethylationEPIC BeadChip array was used to analyze genomewide DNA methylation levels for 15 persons with LTBI who later developed active TB and for 15 LTBI controls who stayed healthy. The differentially methylated CpGs (dmCpGs) located in the promoter regions pre- and post-TB diagnosis were selected (P < 0.05 and |Δβ|>0.10) and evaluated by receiver operating characteristic (ROC) analysis. Eight dmCpGs were identified to be associated with TB occurrence; six were located in hypermethylated genes (cg02493602, cg02206980, cg02214623, cg12159502, cg14593639, and cg25764570), and two were located in hypomethylated genes (cg02781074 and cg12321798). ROC analysis indicated that the area under curve (AUC) of these eight dmCpGs ranged from 0.72 to 0.84. Given 90% sensitivity, the specificity was highest for cg14593639 at 66.67%. The combination analysis indicated that “cg02206980 + cg02214623 + cg12159502 + cg12321798” showed the best performance, with an AUC of 0.88 (95% confidence interval [CI]: 0.72, 0.97), a sensitivity of 93.33% (95% CI: 70.18%, 99.66%), and a specificity of 86.67% (95% CI: 62.12%, 97.63%). Our preliminary results indicate the potential value of the DNA methylation level as a diagnostic biomarker for discriminating active disease in LTBI testing. This finding requires further verification in independent populations with large sample sizes.

IMPORTANCE Approximately a quarter of the world population had been infected with Mycobacterium tuberculosis, and about 5 to 10% of these individuals might develop active disease in their lifetimes. As a critical component of the “end TB strategies,” preventive treatment was shown to protect 60 to 90% of high-risk LTBIs from developing active disease. Developing new TB screening tools based on blood-based biomarkers, which could identify and rule out active TB from LTBI, are prerequisite before initialing intervention. We tried to explore potential DNA methylation diagnostic biomarkers through retrospectively detected DNA methylation profiles pre- and post-TB diagnosis. Eight dmCpGs were identified, and the combination of “cg02206980 + cg02214623 + cg12159502 + cg12321798” showed a sensitivity of 93.33% and a specificity of 86.67%. The preliminary results provided new insight into detecting the DNA methylation level as a potential tool to distinguish TB from LTBI.

Interaction between the HIF-1α gene rs1957757 polymorphism and CpG island methylation in the promoter region is associated with the risk of anti-tuberculosis drug-induced liver injury in humans: A case-control study

WHAT IS KNOWN AND OBJECTIVE

HIF-1α gene polymorphisms, including rs11549465, rs11549467, rs1957757 and rs10873142, cause liver cell damage or pulmonary disease. The aim of this study was to analyse the association between the polymorphisms of the loci of the HIF-1α gene and its CpG island methylation in the promoter region with the risk of anti-tuberculosis drug-induced liver injury (ADLI).

METHODS

286 patients with tuberculosis (TB) and ADLI (case group) and 286 patients with TB but without liver injury (control group) were matched one-to-one, among the 1728 TB patients recruited from July 2019 to July 2020. Genotyping of the four loci of the HIF-1α gene was confirmed using PCR-RFLP technology. Methylation of the HIF-1α gene was measured using the MSP method. The comparison of risk factors, HIF-1α genotype and methylation status between the case group and the control group was all achieved through univariate and multivariate conditional logistic regression.

RESULTS AND DISCUSSION

Univariate analysis showed that the frequency of rs1957757 mutation genotype and CpG island methylation was significantly higher in the case group than in the control group (P<0.001, all). In contrast, there was no statistical difference in the frequency of mutated genotypes at the other three loci between the two groups (p = 0.21, p = 0.12 and p = 0.55, respectively). Further, multivariate analysis showed that CpG islands were methylated, the mutation genotype of the rs1957757 locus was independently associated with the high risk of ADLI, and the adjusted OR (95%CI) reached 1.92 (1.32-2.63) and 2.01 (1.32-2.83), respectively. Furthermore, taking the rs1957757 locus wild genotype and CpG islands without methylation as the reference group, the mutation genotype and CpG island methylation increased the risk of ADLI, and the probability of ADLI could reach 4.73 times that of the reference group.

WHAT IS NEW AND CONCLUSION

This is the first demonstration of the association of HIF-1α gene polymorphism and CpG island methylation with ADLI risk stratification. The interaction between CpG islands methylated in the promoter region of the HIF-1α gene and its rs1957757 locus mutant genotype was associated with a higher risk of ADLI.