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Correlation between lipoprotein-associated phospholipase A2 and poststroke mild cognitive impairment
Yawei Cao1, Xiaofeng Zhu2, Jin Shang2
1Clinical Laboratory, Huai'an First People's Hospital, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Expert Review of Molecular Diagnostics
|July 3, 2024
Summary
Elevated serum lipoprotein-associated phospholipase A2 (Lp-PLA2) is an independent risk factor for poststroke mild cognitive impairment (PSMCI). Higher Lp-PLA2 levels correlate with poorer cognitive function, suggesting its potential as a biomarker.
Area of Science:
- Neurology
- Biochemistry
- Cardiovascular Research
Background:
- Poststroke mild cognitive impairment (PSMCI) is a common complication following stroke.
- Identifying reliable biomarkers for PSMCI is crucial for early detection and intervention.
- Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an inflammatory enzyme implicated in cardiovascular disease.
Purpose of the Study:
- To investigate the association between serum Lp-PLA2 levels and PSMCI.
- To determine if Lp-PLA2 is an independent risk factor for developing PSMCI.
- To evaluate Lp-PLA2 as a potential diagnostic biomarker for PSMCI.
Main Methods:
- Serum Lp-PLA2 levels were measured in patients with PSMCI (68 cases) and cognitively normal (CN) controls (218 cases).
- Logistic regression analysis identified independent risk factors for PSMCI.
- Spearman's correlation and ROC curve analysis assessed the relationship between Lp-PLA2 and cognitive scores (MoCA), and determined diagnostic thresholds.
Main Results:
- Serum Lp-PLA2 levels were significantly higher in the PSMCI group compared to the CN group.
- Lp-PLA2 was identified as an independent risk factor for PSMCI (OR = 1.05, 95% CI = 1.03-1.07).
- A significant negative correlation was found between Lp-PLA2 levels and MoCA scores (R = -0.49). The ROC analysis yielded an AUC of 0.849 with a threshold of 236.8 ng/ml for PSMCI.
Conclusions:
- Elevated serum Lp-PLA2 is an independent risk factor for PSMCI.
- Lp-PLA2 may serve as a valuable potential biomarker for the early detection and risk assessment of PSMCI.
- These findings highlight the role of inflammation in cognitive decline after stroke.

