Clinical rheumatology · 2026
Glymphatic dysfunction in systemic lupus erythematosus.
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Ren Xiaoran, Xu Man, Huang Yuan, Lin Liangjie, Dong Yanbo, Zhang Yong, Cao Zhenghao, Ren Yanan, Tulupov Andrey, Bao Jianfeng, Wang Xiao
Аннотация
OBJECTIVES: This study aims to assess the activity of the glymphatic system in patients with neuropsychiatric systemic lupus erythematosus (NPSLE) and non-NPSLE using diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) and explore the potential correlation between the DTI-ALPS index and clinical indicators.
MATERIALS AND METHODS: A total of 33 non-NPSLE patients, 13 NPSLE patients, and 33 age-matched healthy controls (HC) were enrolled in this study. Clinical indicators of patients were recorded, and DTI images were obtained to determine diffusivity along the x-, y-, and z-axes at the level of the lateral ventricle body. The DTI-ALPS index was calculated, and one-way ANOVA analysis with Bonferroni post hoc tests was used to assess differences among HC, non-NPSLE, and NPSLE. Pearson or Spearman correlation analysis was applied to investigate the correlation between DTI-ALPS index and clinical indicators. According to the SLEDAI scores, 44 SLE patients (non-NPSLE, n = 31; NPSLE, n = 13) were categorized into four groups, and one-way ANOVA analysis with Bonferroni post hoc tests was used to compare the ALPS index among the four groups.
RESULTS: Compared to the healthy control (HC) group (1.705 ± 0.167), the ALPS index in the total SLE group (1.507 ± 0.138) was significantly lower [t (77) = 3.921, P < 0.001]. Both the NPSLE group (1.550 ± 0.113, n = 33) and non-NPSLE group (1.578 ± 0.148, n = 13) exhibited significantly reduced ALPS index in comparison with the HC group. One-way ANOVA showed a significant group effect on the ALPS index [F (2,76) = 7.775, P < 0.001]. Bonferroni-corrected post hoc tests indicated that the HC group had a higher ALPS index than the non-NPSLE group [mean difference = 0.127, 95% confidence interval (CI) (0.036, 0.219), P_adj = 0.003], and higher than the NPSLE group [mean difference = 0.155, 95% CI (0.033, 0.277), P_adj = 0.008]. The NPSLE was lower than that of the non-NPSLE, but this difference was not statistically significant (P_adj = 1.000), which may be partly due to the small NPSLE sample size. And we classified total SLE patients into four grades based on their SLEDAI scores. One-way ANOVA demonstrated a significant difference in ALPS index among the four SLEDAI grades [F (3, 40) = 3.210, P = 0.033]. After Bonferroni correction, only the difference between Grade 1 and Grade 3 remained significant (P_adj = 0.029); all other comparisons were not significant. Addition, no significant correlations were found between DTI-ALPS index and various clinical indicators, including serum C3, C4, CH50, anti-Smith antibodies, and SLEDAI scores.
CONCLUSION: The DTI-ALPS index can serve as a noninvasive imaging biomarker for assessing glymphatic system function in non-NPSLE and NPSLE patients. These findings contribute to a better understanding of the pathophysiological mechanisms of SLE. Key Points • The pathological mechanism of SLE may be related to functional impairment of the glymphatic system. • DTI-ALPS index may serve as an MR biomarker for SLE patients.
MATERIALS AND METHODS: A total of 33 non-NPSLE patients, 13 NPSLE patients, and 33 age-matched healthy controls (HC) were enrolled in this study. Clinical indicators of patients were recorded, and DTI images were obtained to determine diffusivity along the x-, y-, and z-axes at the level of the lateral ventricle body. The DTI-ALPS index was calculated, and one-way ANOVA analysis with Bonferroni post hoc tests was used to assess differences among HC, non-NPSLE, and NPSLE. Pearson or Spearman correlation analysis was applied to investigate the correlation between DTI-ALPS index and clinical indicators. According to the SLEDAI scores, 44 SLE patients (non-NPSLE, n = 31; NPSLE, n = 13) were categorized into four groups, and one-way ANOVA analysis with Bonferroni post hoc tests was used to compare the ALPS index among the four groups.
RESULTS: Compared to the healthy control (HC) group (1.705 ± 0.167), the ALPS index in the total SLE group (1.507 ± 0.138) was significantly lower [t (77) = 3.921, P < 0.001]. Both the NPSLE group (1.550 ± 0.113, n = 33) and non-NPSLE group (1.578 ± 0.148, n = 13) exhibited significantly reduced ALPS index in comparison with the HC group. One-way ANOVA showed a significant group effect on the ALPS index [F (2,76) = 7.775, P < 0.001]. Bonferroni-corrected post hoc tests indicated that the HC group had a higher ALPS index than the non-NPSLE group [mean difference = 0.127, 95% confidence interval (CI) (0.036, 0.219), P_adj = 0.003], and higher than the NPSLE group [mean difference = 0.155, 95% CI (0.033, 0.277), P_adj = 0.008]. The NPSLE was lower than that of the non-NPSLE, but this difference was not statistically significant (P_adj = 1.000), which may be partly due to the small NPSLE sample size. And we classified total SLE patients into four grades based on their SLEDAI scores. One-way ANOVA demonstrated a significant difference in ALPS index among the four SLEDAI grades [F (3, 40) = 3.210, P = 0.033]. After Bonferroni correction, only the difference between Grade 1 and Grade 3 remained significant (P_adj = 0.029); all other comparisons were not significant. Addition, no significant correlations were found between DTI-ALPS index and various clinical indicators, including serum C3, C4, CH50, anti-Smith antibodies, and SLEDAI scores.
CONCLUSION: The DTI-ALPS index can serve as a noninvasive imaging biomarker for assessing glymphatic system function in non-NPSLE and NPSLE patients. These findings contribute to a better understanding of the pathophysiological mechanisms of SLE. Key Points • The pathological mechanism of SLE may be related to functional impairment of the glymphatic system. • DTI-ALPS index may serve as an MR biomarker for SLE patients.