Evidence map›Paper›PMID 32219020›Full record

ArticlePeerJ2020

Comparative functional genomic analysis of Alzheimer's affected and naturally aging brains.

Yi-Shian Peng, Chia-Wei Tang, Yi-Yun Peng, Hung Chang, Chien-Lung Chen, Shu-Lin Guo, Li-Ching Wu, Min-Chang Huang, Hoong-Chien Lee

Abstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Contextualizing molecular and structural aging across human organs.medRxiv : the preprint server for health sciences · 2025
    Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yi-Shian PengDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Chia-Wei TangDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Yi-Yun PengDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Hung ChangDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Chien-Lung ChenDepartment of Nephrology, Landseed Hospital, Taoyuan, Taiwan.
Shu-Lin GuoDepartment of Anesthesiology, Cathay General Hospital, Taipei, Taiwan.
Li-Ching WuDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Min-Chang HuangDepartment of Physics, Chung Yuan Christian University, Taoyuan, Taiwan.
Hoong-Chien LeeDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a prevalent progressive neurodegenerative human disease whose cause remains unclear. Numerous initially highly hopeful anti-AD drugs based on the amyloid-β (Aβ) hypothesis of AD have failed recent late-phase tests. Natural aging (AG) is a high-risk factor for AD. Here, we aim to gain insights in AD that may lead to its novel therapeutic treatment through conducting meta-analyses of gene expression microarray data from AG and AD-affected brain.

methodsFive sets of gene expression microarray data from different regions of AD (hereafter, ALZ when referring to data)-affected brain, and one set from AG, were analyzed by means of the application of the methods of differentially expressed genes and differentially co-expressed gene pairs for the identification of putatively disrupted biological pathways and associated abnormal molecular contents.

resultsBrain-region specificity among ALZ cases and AG-ALZ differences in gene expression and in KEGG pathway disruption were identified. Strong heterogeneity in AD signatures among the five brain regions was observed: HC/PC/SFG showed clear and pronounced AD signatures, MTG moderately so, and EC showed essentially none. There were stark differences between ALZ and AG. OXPHOS and Proteasome were the most disrupted pathways in HC/PC/SFG, while AG showed no OXPHOS disruption and relatively weak Proteasome disruption in AG. Metabolic related pathways including TCA cycle and Pyruvate metabolism were disrupted in ALZ but not in AG. Three pathogenic infection related pathways were disrupted in ALZ. Many cancer and signaling related pathways were shown to be disrupted AG but far less so in ALZ, and not at all in HC. We identified 54 "ALZ-only" differentially expressed genes, all down-regulated and which, when used to augment the gene list of the KEGG AD pathway, made it significantly more AD-specific.

Indexed as

AgingAlzheimer’s diseaseAntimicrobial protection hypothesisKEGG AD pathwayNovel AD target genesOxidative phosphorylationProteasomePyruvate metabolismTau and Aβ pathologiesTCA cycle

Identifiers

PMID32219020
PMCPMC7087547

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.