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CHI3L2 Expression Levels Are Correlated with AIF1, PECAM1, and CALB1 in the Brains of Alzheimer's Disease Patients

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Journal J Mol Neurosci
Date 2020 Jul 25
PMID 32705525
Citations 13
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Abstract

Alzheimer's disease (AD) represents one of the main forms of dementia that afflicts our society. The expression of several genes has been associated with disease development. Despite this, the number of genes known to be capable of discriminating between AD patients according to sex remains deficient. In our study, we performed a transcriptomes meta-analysis on a large court of brains of healthy control subjects (n = 2139) (NDHC) and brains of AD patients (n = 1170). Our aim was to verify the brain expression levels of CHI3L2 and its correlation with genes associated with microglia-mediated neuroinflammation (IBA1), alteration of the blood-brain barrier (PECAM1), and neuronal damage (CALB1). We showed that the CHI3L2, IBA1, PECAM1, and CALB1 expression levels were modulated in the brains of patients with AD compared to NDHC subjects. Furthermore, both in NDHC and in AD patient's brains, the CHI3L2 expression levels were directly correlated with IBA1 and PECAM1 and inversely with CALB1. Additionally, the expression levels of CHI3L2, PECAM1, and CALB1 but not of IBA1 were sex-depended. By stratifying the samples according to age and sex, correlation differences emerged between the expression levels of CHI3L2, IBA1, PECAM1, and CALB1 and the age of NDHC subjects and AD patients. CHI3L2 represents a promising gene potentially involved in the key processes underlying Alzheimer's disease. Its expression in the brains of sex-conditioned AD patients opens up new possible sex therapeutic strategies aimed at controlling imbalance in disease progression.

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References
1.
Berchtold N, Cribbs D, Coleman P, Rogers J, Head E, Kim R . Gene expression changes in the course of normal brain aging are sexually dimorphic. Proc Natl Acad Sci U S A. 2008; 105(40):15605-10. PMC: 2563070. DOI: 10.1073/pnas.0806883105. View

2.
Berchtold N, Coleman P, Cribbs D, Rogers J, Gillen D, Cotman C . Synaptic genes are extensively downregulated across multiple brain regions in normal human aging and Alzheimer's disease. Neurobiol Aging. 2013; 34(6):1653-61. PMC: 4022280. DOI: 10.1016/j.neurobiolaging.2012.11.024. View

3.
Blalock E, Buechel H, Popovic J, Geddes J, Landfield P . Microarray analyses of laser-captured hippocampus reveal distinct gray and white matter signatures associated with incipient Alzheimer's disease. J Chem Neuroanat. 2011; 42(2):118-26. PMC: 3163806. DOI: 10.1016/j.jchemneu.2011.06.007. View

4.
Care M, Barrans S, Worrillow L, Jack A, Westhead D, Tooze R . A microarray platform-independent classification tool for cell of origin class allows comparative analysis of gene expression in diffuse large B-cell lymphoma. PLoS One. 2013; 8(2):e55895. PMC: 3570548. DOI: 10.1371/journal.pone.0055895. View

5.
Cheadle C, Vawter M, Freed W, Becker K . Analysis of microarray data using Z score transformation. J Mol Diagn. 2003; 5(2):73-81. PMC: 1907322. DOI: 10.1016/S1525-1578(10)60455-2. View