The Impacts of IL1R1 and IL1R2 Genetic Variants on Rheumatoid Arthritis Risk in the Chinese Han Population: A Case-Control Study

Genome-wide association study on overweight in Brazilian children with asthma: Old stories and new discoveries

INTRODUCTION

Overweight and obesity are chronic and multifactorial diseases with a strong genetic component contributing to weight gain across all age groups. This study aimed to conduct a Genome-wide Association Study (GWAS) on a cohort of 1,004 Brazilian children (5-11 years old) to identify specific DNA regions associated with susceptibility to overweight.

METHODS

The GWAS was performed on children participating in the SCAALA (Asthma and Allergy Social Changes in Latin America) program, with participants classified as either overweight or non-overweight. Genotyping was carried out using the Illumina 2.5 Human Omni bead chip. Using ELISA, cytokine levels (IL-5, IL-13, IL-10, and IFN) were measured in the blood culture supernatant. Furthermore, pathway analyses were conducted utilizing the Gene Ontology tool.

RESULTS

Our analysis revealed eight significant signals distributed across the genome. The most prominent single nucleotide variant (SNV) was identified in the IL1R1 gene, followed by three variants in the LOC105377841 region (located between the ADH5P4 and EYS genes), as well as variants in the KNTC1, RAPTOR, and DSCAM genes. Among the identified variants, three (IL1R1, RAPTOR, and DSCAM) are associated with immune mechanisms, one (ST18) is linked to the death pathway, and one (KNTC1) is associated with mitotic spindle assembly. The genetic risk score analysis demonstrated that having one or more variants among the six analyzed significantly increased the risk of being overweight by eightfold.

CONCLUSIONS

Our study uncovered genetic loci within pathways with strong biological plausibility, including identifying a novel region (LOC105377841) not previously associated with overweight. Understanding the genetic variants involved in overweight and obesity is crucial for advancing our knowledge of these diseases, particularly within mixed populations such as the Brazilian population.

Molecular mechanisms of regulation of IL-1 and its receptors

Interleukin 1 (IL-1) is a pro-inflammatory cytokine that plays a key role in the development and regulation of nonspecific defense and specific immunity. However, its regulatory influence extends beyond inflammation and impacts a range of immune and non-immune processes. The involvement of IL-1 in numerous biological processes, including modulation of inflammation, necessitates strict regulation at multiple levels. This review focuses on these regulatory processes and discusses their underlying mechanisms. IL-1 activity is controlled at various levels, including receptor binding, gene transcription, expression as inactive proforms, and regulated post-translational processing and secretion. Regulation at the level of the receptor expression - alternative splicing, tissue-specific isoforms, and gene polymorphism - is also crucial to IL-1 functional activity. Understanding these regulatory features of IL-1 will not only continue to shape future research directions but will also highlight promising therapeutic strategies to modulate the biological effects of IL-1.

Identification of potential drug targets for allergic diseases from a genetic perspective: A mendelian randomization study

BACKGROUND

Allergic diseases typically refer to a heterogeneous group of conditions primarily caused by the activation of mast cells or eosinophils, including atopic dermatitis (AD), allergic rhinitis (AR), and asthma. Asthma, AR, and AD collectively affect approximately one-fifth of the global population, imposing a significant economic burden on society. Despite the availability of drugs to treat allergic diseases, they have been shown to be insufficient in controlling relapses and halting disease progression. Therefore, new drug targets are needed to prevent the onset of allergic diseases.

METHOD

We employed a Mendelian randomization approach to identify potential drug targets for the treatment of allergic diseases. Leveraging 1798 genetic instruments for 1537 plasma proteins from the latest reported Genome-Wide Association Studies (GWAS), we analyzed the GWAS summary statistics of Ferreira MA et al. (nCase = 180,129, nControl = 180,709) using the Mendelian randomization method. Furthermore, we validated our findings in the GWAS data from the FinnGen and UK Biobank cohorts. Subsequently, we conducted sensitivity tests through reverse causal analysis, Bayesian colocalization analysis, and phenotype scanning. Additionally, we performed protein-protein interaction analysis to determine the interaction between causal proteins. Finally, based on the potential protein targets, we conducted molecular docking to identify potential drugs for the treatment of allergic diseases.

RESULTS

At Bonferroni significance (p < 3.25 × 10-5), the Mendelian randomization analysis revealed 11 significantly associated protein-allergic disease pairs. Among these, the increased levels of TNFAIP3, ERBB3, TLR1, and IL1RL2 proteins were associated with a reduced risk of allergic diseases, with corresponding odds ratios of 0.82 (0.76-0.88), 0.74 (0.66-0.82), 0.49 (0.45-0.55), and 0.81 (0.75-0.87), respectively. Conversely, increased levels of IL6R, IL1R1, ITPKA, IL1RL1, KYNU, LAYN, and LRP11 proteins were linked to an elevated risk of allergic diseases, with corresponding odds ratios of 1.04 (1.03-1.05), 1.25 (1.18-1.34), 1.48 (1.25-1.75), 1.14 (1.11-1.18), 1.09 (1.05-1.12), 1.96 (1.56-2.47), and 1.05 (1.03-1.07), respectively. Bayesian colocalization analysis suggested that LAYN (coloc.abf-PPH4 = 0.819) and TNFAIP3 (coloc.abf-PPH4 = 0.930) share the same variant associated with allergic diseases.

CONCLUSIONS

Our study demonstrates a causal association between the expression levels of TNFAIP3 and LAYN and the risk of allergic diseases, suggesting them as potential drug targets for these conditions, warranting further clinical investigation.

Il1r2 and Tnfrsf12a in transcranial magnetic stimulation effect of ischemic stroke via bioinformatics analysis

Ischemic stroke refers to ischemic necrosis or softening of localized brain tissue. Transcranial magnetic stimulation (TMS) is a painless, noninvasive and green treatment method, which acts on the central nervous system through a pulsed magnetic field to assist in the treatment of central nervous system injury diseases. However, the role of Il1r2 and Tnfrsf12a in this is unknown. The ischemic stroke datasets GSE81302 and TMS datasets GSE230148 were downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. The construction and analysis of protein-protein interaction (PPI) network and functional enrichment analysis were performed. Draw heat map gene expression. Through the Comparative Toxicogenomics Database (CTD) to find the most relevant and core gene diseases. TargetScan was used to screen miRNAs regulating DEGs. A total of 39 DEGs were identified. According to gene ontology (GO) analysis results, in biological process (BP) analysis, they were mainly enriched in the positive regulation of apoptosis process, inflammatory response, positive regulation of p38MAPK cascade, and regulation of cell cycle. In cellular component (CC) analysis, they were mainly enriched in the cell surface, cytoplasm, and extracellular space. In Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, they were mainly enriched in nf-κB signaling pathway, fluid shear stress and atherosclerosis, P53 signaling pathway, TNF signaling pathway, and apoptosis. Among the enrichment items of metascape, negative regulation of T cell activation, hematopoietic cell lineage, positive regulation of apoptotic process, fluid shear stress and atherosclerosis were observed in GO enrichment items. Five core genes (Socs3, Irf1, Il1r2, Ccr1, and Tnfrsf12a) were obtained, which were highly expressed in ischemic stroke samples. Il1r2 and Tnfrsf12a were lowly expressed in TMS samples. CTD analysis found that the core gene (Socs3, Irf1 and Il1r2, Ccr1, Tnfrsf12a) and ischemic stroke, atherosclerosis, hypertension, hyperlipidemia, thrombosis, stroke, myocardial ischemia, myocardial infarction, and inflammation. Il1r2 and Tnfrsf12a are highly expressed in ischemic stroke, but lowly expressed in TMS samples.

3D genomics and its applications in precision medicine

Three-dimensional (3D) genomics is an emerging discipline that studies the three-dimensional structure of chromatin and the three-dimensional and functions of genomes. It mainly studies the three-dimensional conformation and functional regulation of intranuclear genomes, such as DNA replication, DNA recombination, genome folding, gene expression regulation, transcription factor regulation mechanism, and the maintenance of three-dimensional conformation of genomes. Self-chromosomal conformation capture (3C) technology has been developed, and 3D genomics and related fields have developed rapidly. In addition, chromatin interaction analysis techniques developed by 3C technologies, such as paired-end tag sequencing (ChIA-PET) and whole-genome chromosome conformation capture (Hi-C), enable scientists to further study the relationship between chromatin conformation and gene regulation in different species. Thus, the spatial conformation of plant, animal, and microbial genomes, transcriptional regulation mechanisms, interaction patterns of chromosomes, and the formation mechanism of spatiotemporal specificity of genomes are revealed. With the help of new experimental technologies, the identification of key genes and signal pathways related to life activities and diseases is sustaining the rapid development of life science, agriculture, and medicine. In this paper, the concept and development of 3D genomics and its application in agricultural science, life science, and medicine are introduced, which provides a theoretical basis for the study of biological life processes.