Causal relationship between 731 immune cell immunophenotypes and giant cell arteritis: a Mendelian randomisation

Qiong Liu1, Xiaofang Liu1, Mengge Gao1

  • 1Department of Clinical Nutrition, Huadu District People's Hospital of Guangzhou, Guangdong, China.

Insights

This study used Mendelian randomization to link specific immune cells to giant cell arteritis (GCA). Certain monocytic cells may protect against GCA, while others increase risk, offering potential new therapeutic targets.

Area of Science:

  • Immunology
  • Genetics
  • Epidemiology

Background:

  • Giant cell arteritis (GCA) is a prevalent vasculitis in older adults, often leading to severe complications like blindness and stroke.
  • The exact causes of GCA are not fully understood, and current treatments, primarily corticosteroids, have significant side effects.

Purpose of the Study:

  • To investigate the causal relationship between immune cell phenotypes and the risk of developing GCA using a Mendelian randomization approach.
  • To identify specific immune cell traits that may influence GCA susceptibility.

Main Methods:

  • Employed a bilateral Mendelian randomization (MR) design.
  • Analyzed 731 immune cell phenotypes using genome-wide association study (GWAS) data from 3,757 European individuals.
  • Utilized inverse-variance weighted (IVW) method and performed sensitivity analyses for robust findings.

Main Results:

  • Identified a protective association between the absolute count of monocytic myeloid-derived suppressor cells and GCA risk.
  • Found increased GCA risk associated with HLA DR expression on CD14+ CD16- and CD14+ monocytes.
  • Reverse MR analysis did not yield statistically significant results.

Conclusions:

  • Specific immune cell types play a significant role in the pathogenesis of GCA.
  • These findings suggest novel therapeutic targets for GCA, potentially offering alternatives to corticosteroid therapy.
  • Further validation of these immune cell biomarkers and therapeutic targets in clinical settings is warranted.
Abstract