PMID- 35398514
OWN - NLM
STAT- MEDLINE
DCOM- 20220517
LR  - 20220603
IS  - 1095-9564 (Electronic)
IS  - 1074-7427 (Linking)
VI  - 191
DP  - 2022 May
TI  - Structural brain characteristics and gene co-expression analysis: A study with 
      outcome label from normal cognition to mild cognitive impairment.
PG  - 107620
LID - S1074-7427(22)00044-2 [pii]
LID - 10.1016/j.nlm.2022.107620 [doi]
AB  - BACKGROUND: Longitudinal studies reported that some elderly people with normal 
      cognition (NC) converted to mild cognitive impairment (MCI), and some remained 
      normal state (NC_S). The underlying factor for this difference conversion of NC 
      is worthy of exploration METHODS: Eighty-three NC participants were tracked for 
      eight years. Thirty participants transitioned from NC to MCI (NC_MCI). The 
      remaining 53 participants retained an NC_S. The structural brain features and 
      genetic expression of the 83 NC participants were obtained. We applied weighted 
      gene co-expression network analysis (WGCNA) to inquire into the co-expression 
      network of those. Mediator effect analysis of regulatory roles was conducted to 
      inquire into the associations between brain measures, expression values, and 
      clinical scores. RESULTS: The main results are: 1) 20 brain features and 740 gene 
      expression had significant differences between the two groups, 2) one module 
      including 187 genes had the most correlation with cortical thickness of left 
      superior temporal sulcus (L.STS), 3) NFKBIA and RARA genes were the top two genes 
      that made the greatest contribution to L.STS thickness, and 4) mediating effect 
      was found between the L.STS thickness, the NFKBIA and RARA expression levels, and 
      clinical scores. CONCLUSION: Our results provide a theoretical foundation based 
      on gene expression and brain imaging for the factors of NC with different 
      outcomes.
CI  - Copyright (c) 2022 Elsevier Inc. All rights reserved.
FAU - Cai, Suping
AU  - Cai S
AD  - School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, 
      PR China.
FAU - Yang, Fan
AU  - Yang F
AD  - School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, 
      PR China.
FAU - Wang, Xuwen
AU  - Wang X
AD  - School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, 
      PR China.
FAU - Wu, Sijia
AU  - Wu S
AD  - School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, 
      PR China.
CN  - Alzheimer's Disease Neuroimaging Initiative
AD  - School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, 
      PR China.
FAU - Huang, Liyu
AU  - Huang L
AD  - School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi 710071, 
      PR China. Electronic address: huangly@mail.xidian.edu.cn.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220408
PL  - United States
TA  - Neurobiol Learn Mem
JT  - Neurobiology of learning and memory
JID - 9508166
SB  - IM
MH  - Aged
MH  - *Alzheimer Disease/genetics
MH  - Brain/diagnostic imaging
MH  - Cognition
MH  - *Cognitive Dysfunction/diagnostic imaging/genetics
MH  - Humans
MH  - Magnetic Resonance Imaging
MH  - Temporal Lobe/diagnostic imaging
OTO - NOTNLM
OT  - Conversion
OT  - Mediator effect
OT  - NFKBIA and RARA genetic expression
OT  - T1-weighted MRI images
OT  - WGCNA analysis
EDAT- 2022/04/11 06:00
MHDA- 2022/05/18 06:00
CRDT- 2022/04/10 20:25
PHST- 2021/09/17 00:00 [received]
PHST- 2022/02/15 00:00 [revised]
PHST- 2022/04/04 00:00 [accepted]
PHST- 2022/04/11 06:00 [pubmed]
PHST- 2022/05/18 06:00 [medline]
PHST- 2022/04/10 20:25 [entrez]
AID - S1074-7427(22)00044-2 [pii]
AID - 10.1016/j.nlm.2022.107620 [doi]
PST - ppublish
SO  - Neurobiol Learn Mem. 2022 May;191:107620. doi: 10.1016/j.nlm.2022.107620. Epub 
      2022 Apr 8.