Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Aug 17;8:12389. doi: 10.1038/s41598-018-30779-x

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Validation of gene expression changes in the Hisayama microarray dataset. The association between gene expression and dementia status evaluated in an independently generated AD cohort for four of the DAC and DAC-associated genes identified: AQP4, DTNA, MLC1, and FXYD1. Expression changes measured in three regions: HIP, FCX and TCX. For each gene, plots describe associations with dementia status in each brain region (A–D). In HIP, elevated expression of AQP4 (p = 0.012) and DTNA (p = 0.033) significantly predict dementia status (red, n = 7) compared to healthy individuals (blue, n = 10), while MLC1 (p = 0.075) shows a trend towards elevated expression. In temporal cortex AQP4 (p = 0.02), DTNA (p = 0.031) and FXYD1 (p = 0.017) all significantly predict dementia status (red, n = 10) compared to healthy subjects (blue, n = 19) while MLC1 (p = 0.069) again exhibits a trend towards increased expression. No differences were observed between dementia (red, n = 15) and non-dementia subjects (blue, n = 18). Statistical associations calculated with logistic regression. The bars in (A–D) represent the mean ± the standard error of the mean (S.E.M.). Complete statistical information found in Table 4.