Blood-brain barrier-associated biomarker correlated with cerebral small vessel disease and shunt outcome in normal pressure hydrocephalus: a prospective cohort study

血脑屏障相关生物标志物与正常压力脑积水脑小血管疾病和分流结果相关:一项前瞻性队列研究

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作者:Pao-Hui Tseng, Li-Chuan Huang, Xiang-Ling Huang, Bor-Ren Huang, Shinn-Zong Lin, Sheng-Tzung Tsai, Hsin-Yi Huang

Background

Blood-brain barrier (BBB) breakdown is associated with neurodegeneration and cognitive impairment. Cerebral small vessel disease (CSVD) is also common in idiopathic normal pressure hydrocephalus (iNPH). Biomarkers in the cerebrospinal fluid (CSF) may reflect the severity of neuropathological damage and indicate a relationship between BBB integrity and iNPH and its surgical outcome. The authors investigated the association of CSVD and comorbidity-related CSF biomarkers with shunt outcomes in iNPH. Materials and

Conclusion

This study highlighted the relevance of CSF biomarkers in assessing CSVD severity and predicting iNPH surgical outcomes. CSF shunt surgery may provide an alternative treatment for neurodegenerative diseases with BBB breakdown and dysfunctional CSF clearance.

Methods

This prospective cohort study recruited 53 patients with iNPH, who were subgrouped by CSVD severity. CSF proteins were analyzed, including soluble platelet-derived growth factor receptor-β (sPDGFR-β), Alzheimer's disease biomarkers, neurofilament light chain (NfL), and triggering receptor expressed on myeloid cells 2 (Trem2). We assessed symptom improvement, investigated its association with biomarkers levels, calculated protein cutoffs for surgical outcomes using receiver operating characteristic (ROC) curves, and compared model predictions using different proteins through hierarchical regression analysis.

Results

Among patients with iNPH, 74% had comorbid CSVD. Patients with severe CSVD exhibited significantly higher sPDGFR-β levels ( P =0.019) and better postoperative performance (β=0.332, t=2.174, P =0.039; r =0.573, P =0.001). Analysis of the predictive potential of the biomarkers showed that sPDGFR-β was predictive of surgical outcomes (area under curve=0.82, sensitivity=66.8%, specificity=94.7%). A Comparison of the models revealed a greater effect of sPDGFR-β (Adjusted R 2 =0.247, ∆R 2 =0.160, ∆F(1, 37)=8.238, P =0.007) on cognitive improvement.

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