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Chen L, Zhou X, Yang C, Wu HJ, Tian Y, Hong S, Hu H, Wang K, Wu S, Wei Z, Li T, Huang Y, Hua Z, Xia Q, Chen XJ, Lv Z, Lv L. Gene association analysis to determine the causal relationship between immune cells and juvenile idiopathic arthritis. Pediatr Rheumatol Online J 2024; 22:35. [PMID: 38459548 PMCID: PMC10921670 DOI: 10.1186/s12969-024-00970-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 02/21/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Juvenile idiopathic arthritis (JIA) is a type of chronic childhood arthritis with complex pathogenesis. Immunological studies have shown that JIA is an acquired self-inflammatory disease, involving a variety of immune cells, and it is also affected by genetic and environmental susceptibility. However, the precise causative relationship between the phenotype of immune cells and JIA remains unclear to date. The objective of our study is to approach this inquiry from a genetic perspective, employing a method of genetic association analysis to ascertain the causal relationship between immune phenotypes and the onset of JIA. METHODS In this study, a two-sample Mendelian randomization (MR) analysis was used to select single nucleotide polymorphisms (SNPs) significantly associated with immune cells as instrumental variables to analyze the bidirectional causal relationship between 731 immune cells and JIA. There were four types of immune features (median fluorescence intensity (MFI), relative cellular (RC), absolute cellular (AC), and morphological parameters (MP)). Finally, the heterogeneity and horizontal reproducibility of the results were verified by sensitivity analysis, which ensured more robust results. RESULTS We found that CD3 on CM CD8br was causally associated with JIA at the level of 0.05 significant difference (95% CI = 0.630 ~ 0.847, P = 3.33 × 10-5, PFDR = 0.024). At the significance level of 0.20, two immunophenotypes were causally associated with JIA, namely: HLA DR on CD14+ CD16- monocyte (95% CI = 0.633 ~ 0.884, P = 6.83 × 10-4, PFDR = 0.16) and HLA DR on CD14+ monocyte (95% CI = 0.627 ~ 0.882, P = 6.9 × 10-4, PFDR = 0.16). CONCLUSION Our study assessed the causal effect of immune cells on JIA from a genetic perspective. These findings emphasize the complex and important role of immune cells in the pathogenesis of JIA and lay a foundation for further study of the pathogenesis of JIA.
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Affiliation(s)
- Longhao Chen
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
- Research Institute of Tuina (Spinal disease), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Xingchen Zhou
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Chao Yang
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
| | - Hong Jiao Wu
- Hangzhou TCM Hospital of Zhejiang Chinese Medical University (Hangzhou Hospital of Traditional Chinese Medicine), Zhejiang, Hangzhou, China
| | - Yu Tian
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Shuangwei Hong
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Huijie Hu
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Kaizheng Wang
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Shuang Wu
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Zicheng Wei
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Tao Li
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Yuanshen Huang
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Zihan Hua
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Qiong Xia
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China
| | - Xiao Jie Chen
- The 72nd Group Army Hospital of Chinese People's Liberation Army, Zhejiang, Huzhou, China
| | - Zhizhen Lv
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China.
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China.
- Research Institute of Tuina (Spinal disease), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China.
| | - Lijiang Lv
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (Zhongshan Hospital of Zhejiang Province), Zhejiang, Hangzhou, China.
- The Third School of Clinical Medicine (School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China.
- Research Institute of Tuina (Spinal disease), Zhejiang Chinese Medical University, Zhejiang, Hangzhou, China.
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Hong WT, Clifton G, Nelson JD. Railway accident causation analysis: Current approaches, challenges and potential solutions. Accid Anal Prev 2023; 186:107049. [PMID: 36989961 DOI: 10.1016/j.aap.2023.107049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
Railway accident causation analysis is fundamental to understanding the nature of railway safety. Although a considerable number of prior studies have investigated this context, many of them suffer from the need to deal with a large amount of textual data given that most railway safety-related information is recorded and stored in the form of text. To gain a better understanding of the limitations imposed by overreliance on textual analysis, a scoping review of the academic literature on how railway accident causation analysis is addressed has been conducted. The results confirm the high frequency of using textual data, a single case study, and in-depth analysis frameworks. While the value of exploring causational factors is clear, the high level of human intervention and the labour-intensive analysis processes based on a large volume of textual data hinder researchers from understanding the complex nature of the rail safety system. Recently, growing attention has been given to the application of Natural Language Processing (NLP) to aid the practice of analysing a large corpus of textual data, but only limited studies to date in railway safety use such techniques and none address railway accident causation analysis. To fill this gap, a supplementary review is conducted to identify opportunities, challenges, boundaries and limitations in the application of NLP approaches to railway accident causation analysis. Findings indicate that novel techniques using off-the-shelf tools have strong potential to overcome the limitations of overreliance on manual analysis in practice and theory, but the absence of shared railway safety-related benchmark corpora restricts implementation. This study sheds light on a new approach to railway accident causation analysis and clarifies future applicable utilisations for further research.
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Affiliation(s)
- Wei-Ting Hong
- Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, The University of Sydney, NSW 2006, Australia.
| | - Geoffrey Clifton
- Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, The University of Sydney, NSW 2006, Australia
| | - John D Nelson
- Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, The University of Sydney, NSW 2006, Australia
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