Relationship between the Clinical Characteristics in Patients with Neuromyelitis Optica Spectrum Disorders and Clinical Immune Indicators: A Retrospective Study

• Published in: Brain sciences 2022-03, Vol.12 (3), p.372
• Main Authors: Cai, Linjun, Shi, Ziyan, Chen, Hongxi, Du, Qin, Zhang, Ying, Zhao, Zhengyang, Wang, Jiancheng, Lang, Yanling, Kong, Lingyao, Zhou, Hongyu
• Format: Article
• Language: English
• Subjects: Age; Aquaporin 4; Autoimmune diseases; CD3 antigen; CD4 antigen; CD8 antigen; complement; Complement component C3; Complement component C4; Correlation analysis; Disease; Drug dosages; Flow cytometry; Hospitals; immunoglobulin; Immunoglobulin G; Immunoglobulins; Immunotherapy; Laboratories; Lymphocytes; Lymphocytes T; motor disability; Nervous system; Neuromyelitis; neuromyelitis optica spectrum disorders; Pathogenesis; Patients; Peripheral blood; Remission (Medicine); Steroids; T lymphocyte; treatment
• ISSN: 2076-3425; 2076-3425
• DOI: 10.3390/brainsci12030372

Objective: T lymphocytes, complement, and immunoglobulin play an important role in neuromyelitis optica spectrum disorders (NMOSD). As common clinical examination indicators, they have been used as routine indicators in many hospitals, which is convenient for being carried out in clinical work, but there are few articles of guiding significance for clinical practice. The purpose of this study was to study the relationship between commonly used immune indicators and clinical characteristics in patients with NMOSD. Methods: We compared clinical characteristics and clinical immune indicators in 258 patients with NMOSD and 200 healthy controls (HCs). We used multiple linear regression to study the relationship between immunotherapy, disease phase, sex, age, AQP4-IgG, and immune indicators. In addition, lymphocyte subsets were compared before and after immunotherapy in 24 of the 258 patients. We explored the influencing factors and predictors of severe motor disability. Results: The percentages of CD3 ratio (71.4% vs. 73.8%, p = 0.013), CD4 ratio (38.8% vs. 42.2%, p < 0.001), and CD4/CD8 ratio (1.43 vs. 1.66, p < 0.001) in NMOSD patients were significantly lower than those in the HC group. In addition, complement C4 (0.177 g/L vs. 0.221 g/L, p < 0.001) and peripheral blood IgG (10.95 g/L vs. 11.80 g/L, p = 0.026) in NMOSD patients were significantly lower than those in the HC group. CD3 percentage was correlated with blood collection age and disease stage; CD8 percentage was correlated with blood collection age, disease stage, and treatment; CD4/CD8 percentage was correlated with blood collection age and treatment; complement C4 was correlated with blood collection age and sex; and IgG was correlated with disease stage and treatment. Twenty-four patients before and after treatment showed that the percentages of CD3 ratio (74.8% vs. 66.7%, p = 0.001) and CD8 ratio (32.4% vs. 26.2%, p < 0.001) after treatment in NMOSD patients were significantly increased, and the percentage of CD3 before treatment was moderately negatively correlated with ARR (r = −0.507, p = 0.011). Binary logistic regression analysis showed that peripheral blood complement C3 is a serious influencing factor for severe motor disability (EDSS score ≥ 6 points). Peripheral blood complement C3 and C4 are predictors of severe motor disability (p < 0.05). Conclusion: Our results suggest that peripheral blood T lymphocytes, C3, C4 and immunoglobulin are convenient and routine clinical indicators that