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Large-scale integrative analysis of juvenile idiopathic arthritis for new insight into its pathogenesis.
Kim, Daeun; Song, Jaeseung; Mancuso, Nicholas; Mangul, Serghei; Jung, Junghyun; Jang, Wonhee.
Affiliation
  • Kim D; Department of Life Sciences, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
  • Song J; Department of Life Sciences, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
  • Mancuso N; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Mangul S; Department of Quantitative and Computational Biology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA.
  • Jung J; Department of Quantitative and Computational Biology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA.
  • Jang W; Titus Family Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA.
Arthritis Res Ther ; 26(1): 47, 2024 02 10.
Article in En | MEDLINE | ID: mdl-38336809
ABSTRACT

BACKGROUND:

Juvenile idiopathic arthritis (JIA) is one of the most prevalent rheumatic disorders in children and is classified as an autoimmune disease (AID). While a robust genetic contribution to JIA etiology has been established, the exact pathogenesis remains unclear.

METHODS:

To prioritize biologically interpretable susceptibility genes and proteins for JIA, we conducted transcriptome-wide and proteome-wide association studies (TWAS/PWAS). Then, to understand the genetic architecture of JIA, we systematically analyzed single-nucleotide polymorphism (SNP)-based heritability, a signature of natural selection, and polygenicity. Next, we conducted HLA typing using multi-ethnicity RNA sequencing data. Additionally, we examined the T cell receptor (TCR) repertoire at a single-cell level to explore the potential links between immunity and JIA risk.

RESULTS:

We have identified 19 TWAS genes and two PWAS proteins associated with JIA risks. Furthermore, we observe that the heritability and cell type enrichment analysis of JIA are enriched in T lymphocytes and HLA regions and that JIA shows higher polygenicity compared to other AIDs. In multi-ancestry HLA typing, B*4501 is more prevalent in African JIA patients than in European JIA patients, whereas DQA1*0101, DQA1*0301, and DRB1*0401 exhibit a higher frequency in European JIA patients. Using single-cell immune repertoire analysis, we identify clonally expanded T cell subpopulations in JIA patients, including CXCL13+BHLHE40+ TH cells which are significantly associated with JIA risks.

CONCLUSION:

Our findings shed new light on the pathogenesis of JIA and provide a strong foundation for future mechanistic studies aimed at uncovering the molecular drivers of JIA.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Juvenile Type of study: Etiology_studies / Prognostic_studies Limits: Child / Humans Language: En Journal: Arthritis Res Ther Journal subject: REUMATOLOGIA Year: 2024 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Juvenile Type of study: Etiology_studies / Prognostic_studies Limits: Child / Humans Language: En Journal: Arthritis Res Ther Journal subject: REUMATOLOGIA Year: 2024 Document type: Article Country of publication: United kingdom