Current status of use of high throughput nucleotide sequencing in rheumatology

Deciphering Autoimmune Diseases: Unveiling the Diagnostic, Therapeutic, and Prognostic Potential of Immune Repertoire Sequencing

Autoimmune diseases (AIDs) are immune system disorders where the body exhibits an immune response to its own antigens, causing damage to its own tissues and organs. The pathogenesis of AIDs is incompletely understood. However, recent advances in immune repertoire sequencing (IR-seq) technology have opened-up a new avenue to study the IR. These studies have revealed the prevalence in IR alterations, potentially inducing AIDs by disrupting immune tolerance and thereby contributing to our comprehension of AIDs. IR-seq harbors significant potential for the clinical diagnosis, personalized treatment, and prognosis of AIDs. This article reviews the application and progress of IR-seq in diseases, such as multiple sclerosis, systemic lupus erythematosus, rheumatoid arthritis, and type 1 diabetes, to enhance our understanding of the pathogenesis of AIDs and offer valuable references for the diagnosis and treatment of AIDs.

Genetic variants related to systemic lupus erythematosus revealed using bioinformatics

Objectives

Systemic lupus erythematosus (SLE) is an autoimmune disease involving multiple organs and is characterized by immune inflammation. The pathogenesis of SLE is complex and involves genetic and environmental components.

Methods

In this study, single nucleotide polymorphisms (SNPs) closely related to SLE were searched through integration analysis of public gene expression profiles from Gene Expression Omnibus and European Bioinformatics Institute data, and immunochip data in a genome-wide association study.

Results

SLE-associated SNPs were identified in 17 genes common among datasets. The mRNA expression levels of three genes among them were verified to differ between SLE patients and healthy controls subjects based on real-time polymerase chain reaction and sequencing of peripheral blood mononuclear cells (PBMCs). The GG genotype frequency of rs116253043 in LY6G6D was significantly lower in SLE patients and the GC genotype frequency of rs328 on LPL was significantly higher in SLE patients than in controls. VARS2 levels were significantly higher in SLE PBMCs than controls, but there was no significant difference in allele or genotype frequencies of the two SNPs (rs115470445 [C/T] and rs114394807 [A/G]) between groups.

Conclusion

Our results suggest that the GG genotype of rs116253043 plays a protective role against SLE, whereas the C allele of rs328 is a risk factor for SLE and rs116253043 with the GC genotype is an SLE-susceptibility SNP.

Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases

NGS technologies have transformed clinical diagnostics and broadly used from neonatal emergencies to adult conditions where the diagnosis cannot be made based on clinical symptoms. Autoimmune diseases reveal complicate molecular background and traditional methods could not fully capture them. Certainly, NGS technologies meet the needs of modern exploratory research, diagnostic and pharmacotherapy. Therefore, the main purpose of this review was to briefly present the application of NGS technology used in recent years in the understanding of autoimmune diseases paying particular attention to autoimmune connective tissue diseases. The main issues are presented in four parts: (a) panels, whole-genome and -exome sequencing (WGS and WES) in diagnostic, (b) Human leukocyte antigens (HLA) as a diagnostic tool, (c) RNAseq, (d) microRNA and (f) microbiome. Although all these areas of research are extensive, it seems that epigenetic impact on the development of systemic autoimmune diseases will set trends for future studies on this area.