Prediction of Alzheimer’s disease with serum lipid levels in Asian individuals: a meta-analysis

Abstract

Background: The serum lipid profile has become a routine clinical test and used as an important predictor for Alzheimer’s disease (AD), although its predictive value remains undetermined.

Objective: To evaluate the role of serum lipid levels in predicting the risk of AD.

Methods: Meta-analyses were conducted using Comprehensive Meta-analyses (CMA) software to investigate the association between four conventional serum lipid profile parameters and the risk of AD, focused on samples from Asian.

Results: In total, 3423 AD patients and 6127 healthy participants were involved. The results demonstrated that AD patients showed higher LDL-C and TC levels (SMD = 0.27, 95% CI: 0.04–0.51, p = 0.02 for LDL-C; SMD = 0.25, 95% CI: 0.05–0.46, p = 0.02 for TC) compared with those of healthy controls. People with higher LDL-C and/or TC levels had an increased risk of AD (OR = 1.64, 95% CI: 1.07–2.51 for LDL-C and OR = 1.58, 95% CI: 1.10–2.92 for TC).

Conclusions: This study provided evidence that serum LDL-C and TC levels were associated with the risk of AD in Asian individuals. The routine lipid profile may be useful for AD diagnosis, monitoring and treatment.

Keywords:

• Alzheimer’s disease
• meta-analysis
• low-density lipoprotein cholesterol
• total cholesterol
• biomarker

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by grants from the National Natural Science Foundation of China [No. 31371327; 31340028] and Social Development Plan Project of Shaanxi Province [2014K11-03-02-01].