Title | Autotaxin is Related to Metabolic Dysfunction and Predicts Alzheimer's Disease Outcomes. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | McLimans, KE, Willette, AA |
Corporate Authors | Alzheimer’s Disease Neuroimaging Initiative |
Journal | J Alzheimers Dis |
Volume | 56 |
Issue | 1 |
Pagination | 403-413 |
Date Published | 2017 |
ISSN | 1875-8908 |
Abstract | BACKGROUND: Obesity and insulin resistance are associated with neuropathology and cognitive decline in Alzheimer's disease (AD). OBJECTIVE: Ecto-nucleotide pyrophosphatase/phosphodiesterase 2, also called autotaxin, is produced by beige adipose tissue, regulates metabolism, and is higher in AD prefrontal cortex (PFC). Autotaxin may be a novel biomarker of dysmetabolism and AD. METHODS: We studied Alzheimer's Disease Neuroimaging Initiative participants who were cognitively normal (CN; n = 86) or had mild cognitive impairment (MCI; n = 135) or AD (n = 66). Statistical analyses were conducted using SPSS software. Multinomial regression analyses tested if higher autotaxin was associated with higher relative risk for MCI or AD diagnosis, compared to the CN group. Linear mixed model analyses were used to regress autotaxin against MRI, FDG-PET, and cognitive outcomes. Spearman correlations were used to associate autotaxin and CSF biomarkers due to non-normality. FreeSurfer 4.3 derived mean cortical thickness in medial temporal lobe and prefrontal regions of interest. RESULTS: Autotaxin levels were significantly higher in MCI and AD. Each point increase in log-based autotaxin corresponded to a 3.5 to 5 times higher likelihood of having MCI and AD, respectively. Higher autotaxin in AD predicted hypometabolism in the medial temporal lobe [R2 = 0.343, p CONCLUSIONS: These results are comparable to previous reports using insulin resistance. CSF autotaxin may be a useful dysmetabolism biomarker for examining AD outcomes and risk. |
DOI | 10.3233/JAD-160891 |
Alternate Journal | J. Alzheimers Dis. |
PubMed ID | 27911319 |
PubMed Central ID | PMC5654316 |
Grant List | K99 AG047282 / AG / NIA NIH HHS / United States R00 AG047282 / AG / NIA NIH HHS / United States U01 AG024904 / AG / NIA NIH HHS / United States |