Association analysis of the lymphocyte-specific protein tyrosine kinase (LCK) gene in type 1 diabetes

Role of RNA Alternative Splicing in T Cell Function and Disease

Alternative RNA splicing, a ubiquitous mechanism of gene regulation in eukaryotes, expands genome coding capacity and proteomic diversity. It has essential roles in all aspects of human physiology, including immunity. This review highlights the importance of RNA alternative splicing in regulating immune T cell function. We discuss how mutations that affect the alternative splicing of T cell factors can contribute to abnormal T cell function and ultimately lead to autoimmune diseases. We also explore the potential applications of strategies that target the alternative splicing changes of T cell factors. These strategies could help design therapeutic approaches to treat autoimmune disorders and improve immunotherapy.

Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic Nephropathy

Background

Increasing evidence suggests that immune modulation contributes to the pathogenesis and progression of diabetic nephropathy (DN). However, the role of immune modulation in DN has not been elucidated. The purpose of this study was to search for potential immune-related therapeutic targets and molecular mechanisms of DN.

Methods

Gene expression datasets were obtained from the Gene Expression Omnibus (GEO) database. A total of 1793 immune-related genes were acquired from the Immunology Database and Analysis Portal (ImmPort). Weighted gene co-expression network analysis (WGCNA) was performed for GSE142025, and the red and turquoise co-expression modules were found to be key for DN progression. We utilized four machine learning algorithms, namely, random forest (RF), support vector machine (SVM), adaptive boosting (AdaBoost), and k-nearest neighbor (KNN), to evaluate the diagnostic value of hub genes. Immune infiltration patterns were analyzed using the CIBERSORT algorithm, and the correlation between immune cell type abundance and hub gene expression was also investigated.

Results

A total of 77 immune-related genes of advanced DN were selected for subsequent analyzes. Functional enrichment analysis showed that the regulation of cytokine-cytokine receptor interactions and immune cell function play a corresponding role in the progression of DN. The final 10 hub genes were identified through multiple datasets. In addition, the expression levels of the identified hub genes were corroborated through a rat model. The RF model exhibited the highest AUC. CIBERSORT analysis and single-cell sequencing analysis revealed changes in immune infiltration patterns between control subjects and DN patients. Several potential drugs to reverse the altered hub genes were identified through the Drug-Gene Interaction database (DGIdb).

Conclusion

This pioneering work provided a novel immunological perspective on the progression of DN, identifying key immune-related genes and potential drug targets, thus stimulating future mechanistic research and therapeutic target identification for DN.

LCK rs10914542-G allele associates with type 1 diabetes in children via T cell hyporesponsiveness

BACKGROUND

Abnormal lymphocyte-specific protein tyrosine kinase (LCK)-related T cell hyporesponsiveness was discovered in type 1 diabetes (T1D). This study aims to investigate the potential associations between LCK single-nucleotide polymorphisms (SNPs) and the susceptibility of T1D.

METHODS

DNAs were extracted from blood samples of 589 T1D patients and 596 healthy controls to genotype seven SNPs of the LCK gene using PCR and Sanger sequencing. Associations of these SNPs with the susceptibility of T1D were determined by χ² test. LCKs were knocked out in peripheral blood mononuclear cells (PBMCs) using CRISPR-Cas9 to investigate the role of LCK SNP in T-lymphocyte activation in T1D.

RESULTS

SNP rs10914542 but not the other six SNPs of the LCK gene was significantly associated with (C vs. G, odds ratio (OR) = 0.581, 95% confidence interval (CI) = 0.470-0.718, P value = 4.13E - 7) the susceptibility of T1D. Peripheral T-lymphocyte activation in response to T cell receptor (TCR)/CD3 stimulation is significantly lower in the rs10914542-G-allele group than in the C-allele group. In vitro experiments revealed that rs10914542 G allele impaired the TCR/CD3-mediated T-cell activation in PBMCs.

CONCLUSIONS

This study reveals that the G allele of SNP rs10914542 of LCK impairs the TCR/CD3-mediated T-cell activation and increases the risk of T1D.

Transcriptome analysis on the inflammatory cell infiltration of nonalcoholic steatohepatitis in bama minipigs induced by a long-term high-fat, high-sucrose diet

Long-term adherence to a high-fat, high-calorie diet influences human health and causes obesity, metabolic syndrome and nonalcoholic steatohepatitis (NASH). Inflammation plays a key role in the development of NASH; however, the mechanism of inflammation induced by over-nutrition remains largely unknown. In this study, we fed Bama minipigs a high-fat, high-sucrose diet (HFHSD) for 23 months. The pigs exhibited characteristics of metabolic syndrome and developed steatohepatitis with greatly increased numbers of inflammatory cells, such as lymphocytes (2.27-fold, P<0.05), Kupffer cells (2.59-fold, P<0.05), eosinophils (1.42-fold, P<0.05) and neutrophils (2.77-fold, P<0.05). High-throughput RNA sequencing (RNA-seq) was performed to explore the systemic transcriptome of the pig liver during inflammation. Approximately 18.2 gigabases of raw sequence data were generated, and over 303 million high-quality reads were assembled into 21,126 unigenes. RNA-seq data analysis showed that 822 genes were differentially expressed in liver (P<0.05) between the HFHSD and control groups. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the process of inflammation involved the inflammatory signal transduction-related toll-like receptor, MAPK, and PPAR signaling pathways; the cytokine-related chemokine signaling, cytokine-cytokine receptor interaction, and IL2, IL4, IL6, and IL12 signaling pathways; the leukocyte receptor signaling-related T cell, B cell, and natural killer cell signaling pathways; inflammatory cell migration and invasion- related pathways; and other pathways. Moreover, we identified several differentially expressed inflammation-related genes between the two groups, including FOS, JUN, TLR7, MYC, PIK3CD, VAV3, IL2RB and IL4R, that could be potential targets for further investigation. Our study suggested that long-term HFHSD induced obesity and liver inflammation, providing basic insight into the molecular mechanism of this condition and laying the groundwork for further studies on obesity and steatohepatitis.

Reduced regulatory T cell diversity in NOD mice is linked to early events in the thymus

The thymic natural regulatory T cell (Treg) compartment of NOD mice is unusual in having reduced TCR diversity despite normal cellularity. In this study, we show that this phenotype is attributable to perturbations in early and late stages of thymocyte development and is controlled, at least in part, by the NOD Idd9 region on chromosome 4. Progression from double negative 1 to double negative 2 stage thymocytes in NOD mice is inefficient; however, this defect is compensated by increased proliferation of natural Tregs (nTregs) within the single positive CD4 thymocyte compartment, accounting for recovery of cellularity accompanied by loss of TCR diversity. This region also underlies the known attenuation of ERK-MAPK signaling, which may preferentially disadvantage nTreg selection. Interestingly, the same genetic region also regulates the rate of thymic involution that is accelerated in NOD mice. These findings highlight further complexity in the control of nTreg repertoire diversity.

Genetic and Molecular Basis of QTL of Diabetes in Mouse: Genes and Polymorphisms

A systematic study has been conducted of all available reports in PubMed and OMIM (Online Mendelian Inheritance in Man) to examine the genetic and molecular basis of quantitative genetic loci (QTL) of diabetes with the main focus on genes and polymorphisms. The major question is, What can the QTL tell us? Specifically, we want to know whether those genome regions differ from other regions in terms of genes relevant to diabetes. Which genes are within those QTL regions, and, among them, which genes have already been linked to diabetes? whether more polymorphisms have been associated with diabetes in the QTL regions than in the non-QTL regions.

Our search revealed a total of 9038 genes from 26 type 1 diabetes QTL, which cover 667,096,006 bp of the mouse genomic sequence. On one hand, a large number of candidate genes are in each of these QTL; on the other hand, we found that some obvious candidate genes of QTL have not yet been investigated. Thus, the comprehensive search of candidate genes for known QTL may provide unexpected benefit for identifying QTL genes for diabetes.

Lymphocyte-specific protein tyrosine kinase is a novel risk gene for Alzheimer disease

Lymphocyte-specific protein tyrosine kinase (LCK) is a lymphoid-specific, Src family protein tyrosine kinase that is known to play a pivotal role in T-cell activation and interact with the T-cell coreceptors, CD4 and CD8. It has been shown to be significantly down-regulated in Alzheimer disease (AD) hippocampus compared with non-demented controls. Furthermore, it is located in a previously identified genetic linkage region (1p34-36) associated with AD. Therefore, we consider it to be a candidate gene for AD. We examined the relationship between AD and the LCK and apolipoprotein E (APOE) genes in 376 AD (including 323 late-onset AD (LOAD) cases and 53 early-onset AD (EOAD) cases) and 378 non-demented controls using a single nucleotide polymorphism (SNP). The polymorphism in intron 1 (+6424 A/G) was significantly associated with AD risk. The odds ratio (OR) for total AD associated with the GG genotype was 1.41 (95% CI=1.06-1.87) and that for LOAD was 1.37 (95%CI=1.02-1.85), while that for APOE-epsilon4 was 5.06 (95% CI=3.60-7.12). In the APOE-epsilon4 non-carrier subgroup, the GG genotype also showed significant association (OR=1.66; 95% CI=1.16-2.38). These results indicate that the LCK is a novel risk gene for AD regardless of the APOE genotype.