Serum Galectin-3 as a Potential Predictive Biomarker Is Associated with Poststroke Cognitive Impairment

Author:

Wang Qian1234ORCID,Wang Kai34ORCID,Ma Yihong5ORCID,Li Simin6ORCID,Xu Yuzhen7ORCID

Affiliation:

1. Postdoctoral Workstation, Taian City Central Hospital, Taian, Shandong Province, China

2. Department of Central Laboratory, Taian City Central Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, China

3. State Key Laboratory of Medical Neurobiology-Ministry of Education (MOE) Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China

4. Department of Neurology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China

5. Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan

6. Stomatological Hospital, Southern Medical University, Guangzhou, Guangdong Province, China

7. Department of Rehabilitation, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong Province, China

Abstract

Objective. Galectin-3, an inflammatory mediator derived from microglia, participates in the pathophysiological process of various neurological diseases. However, the relationship between galectin-3 and poststroke cognitive impairment (PSCI) remains ambiguous. This research purposed to prove whether serum galectin-3 can predict PSCI. Methods. In the end, an aggregate of 416 patients with the first acute ischemic stroke (AIS) were continuously and prospectively enrolled in the study. Upon admission, the baseline data of AIS patients were collected, and their serum galectin-3 levels were measured. Three months after the stroke, the Montreal Cognitive Scale (MoCA) was utilized to measure the cognitive function of AIS patients, and PSCI was defined as a MoCA score less than 26 points. Results. Premised on the MoCA scores, patients were categorized into PSCI cohort and non-PSCI cohort. The two AIS patient cohorts did not exhibit any statistical difference in their baseline characteristics ( p > 0.05 ). However, the serum galectin-3 level of AIS patients in the PSCI cohort was considerably elevated ( p < 0.001 ). Pearson correlation analysis illustrated that serum galectin-3 level was negatively linked to MoCA score ( r = 0.396 , p < 0.05 ). The findings from the receiver-operating curve (ROC) illustrated that the sensitivity of serum galectin-3 as a possible biomarker for diagnosing PSCI was 66%, and the specificity was 94%. The cut-off value of serum galectin-3 to diagnose PSCI is 6.3 ng/mL ( OR = 5.49 , p < 0.001 ). Upon controlling for different variables, serum galectin-3 level remained to be an independent predictor of PSCI ( p < 0.001 ). Conclusions. Elevated serum galectin-3 levels are linked to a higher risk of PSCI. Serum galectin-3 could be a prospective biomarker for predicting PSCI.

Funder

Xuzhou Medical University

Publisher

Hindawi Limited

Subject

Cell Biology,Ageing,General Medicine,Biochemistry

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