Current neuropharmacology · 2025
Peripheral Inflammation Profile of Cerebellar Ataxia.
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Tang Cuiling, Deng Qi, Yuan Xinrong, Ding Ziyan, Hu Jian, Peng Linliu, Yuan Hongyu, Wan Na, Gong Yiqing, Ding Siyu, Tan Yan, Lei Lijing, Wan Linlin, Qiu Rong, Tang Beisha, Chen Zhao, Jiang Hong
Аннотация
OBJECTIVES: The objective of this study is to determine the characteristics of peripheral inflammatory profiles and their correlations with the clinical features in patients with cerebellar ataxia.
METHODS: We conducted a cross-sectional study on a cohort of 140 cerebellar ataxia patients, including 74 patients with spinocerebellar ataxia (SCA), 66 patients with multiple system atrophy with predominant cerebellar ataxia (MSA-C), and 145 healthy controls (HCs). Inflammatory profiles (PLT, MPV, NLR, PLR, MLR, SII, AISI and ESR) were measured in peripheral blood, and were compared by ANOVA and Kruskal-Wallis test. The receiver operating characteristic (ROC) curve and the area under curve (AUC) were performed to determine the sensitivity and specificity of the inflammatory markers. Spearman correlation and partial correlation analysis were performed to detect the association between inflammatory profiles and clinical scales in cerebellar ataxia.
RESULTS: Inflammatory profiles from peripheral blood showed significant difference between different groups. Significant variations were observed in MPV, NLR, MLR, SII, AISI and ESR between cerebellar ataxia and HCs groups (p<0.05). NLR and ESR in both SCA and MSA-C groups were increased compared with HCs (p<0.05). The difference of MHR between SCA and MSA-C groups was observed based on HDL variation (p<0.05). The combination of ESR and PLT distinguished SCA from MSA-C (AUC=0.800). In addition, MLR was significantly corelated with clinical scales, including SARA and ICARS in SCA group as well as UMSARS and FAB in MSA-C group (r>0.3/r<-0.3).
CONCLUSION: Significant variation in peripheral inflammatory profiles was firstly identified in Chinese genetic ataxias and non-genetic cerebellar ataxia cohort, which showed the potential clinical correlations between peripheral inflammatory phenotype and severity of ataxia.
METHODS: We conducted a cross-sectional study on a cohort of 140 cerebellar ataxia patients, including 74 patients with spinocerebellar ataxia (SCA), 66 patients with multiple system atrophy with predominant cerebellar ataxia (MSA-C), and 145 healthy controls (HCs). Inflammatory profiles (PLT, MPV, NLR, PLR, MLR, SII, AISI and ESR) were measured in peripheral blood, and were compared by ANOVA and Kruskal-Wallis test. The receiver operating characteristic (ROC) curve and the area under curve (AUC) were performed to determine the sensitivity and specificity of the inflammatory markers. Spearman correlation and partial correlation analysis were performed to detect the association between inflammatory profiles and clinical scales in cerebellar ataxia.
RESULTS: Inflammatory profiles from peripheral blood showed significant difference between different groups. Significant variations were observed in MPV, NLR, MLR, SII, AISI and ESR between cerebellar ataxia and HCs groups (p<0.05). NLR and ESR in both SCA and MSA-C groups were increased compared with HCs (p<0.05). The difference of MHR between SCA and MSA-C groups was observed based on HDL variation (p<0.05). The combination of ESR and PLT distinguished SCA from MSA-C (AUC=0.800). In addition, MLR was significantly corelated with clinical scales, including SARA and ICARS in SCA group as well as UMSARS and FAB in MSA-C group (r>0.3/r<-0.3).
CONCLUSION: Significant variation in peripheral inflammatory profiles was firstly identified in Chinese genetic ataxias and non-genetic cerebellar ataxia cohort, which showed the potential clinical correlations between peripheral inflammatory phenotype and severity of ataxia.