Evidence map›Paper›PMID 38776015›Full record

ArticleJournal of molecular neuroscience : MN2024

Transcriptomic Analysis of Lipid Metabolism Genes in Alzheimer's Disease: Highlighting Pathological Outcomes and Compartmentalized Immune Status.

Yue Sun, Mengni Jiang, Xiang Long, Yongzhen Miao, Huanhuan Du, Ting Zhang, Xuejun Ma, Yue Zhang, Hongrui Meng

Abstract read
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In one paragraph

Article in Journal of molecular neuroscience : MN, 2024. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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. Review
  2. Article
  3. Review
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.

Yue Sun *Department of Neurology, Shanghai East Hospital of Tongji University School of Medicine, Shanghai, 20092, People's Republic of China.
Mengni Jiang *Institute of Neuroscience, Soochow University, Suzhou, 215123, People's Republic of China.
Xiang LongInstitute of Neuroscience, Soochow University, Suzhou, 215123, People's Republic of China.
Yongzhen MiaoInstitute of Neuroscience, Soochow University, Suzhou, 215123, People's Republic of China.
Huanhuan DuInstitute of Neuroscience, Soochow University, Suzhou, 215123, People's Republic of China.
Ting ZhangInstitute of Neuroscience, Soochow University, Suzhou, 215123, People's Republic of China.
Xuejun MaSchool of Mathematical Sciences, Soochow University, Suzhou, People's Republic of China.
Yue ZhangDepartment of Neurology, Shanghai East Hospital of Tongji University School of Medicine, Shanghai, 20092, People's Republic of China. dyuezhang@126.com.
Hongrui MengInstitute of Neuroscience, Soochow University, Suzhou, 215123, People's Republic of China. hrmeng@suda.edu.cn.

Funding

Clinical Plateau Discipline Construction Project of Shanghai Pudong New Area Health Committee PWYgy2021-05National Natural Science Foundation of China 82171414Science and Technology Development Fund of Shanghai Pudong New Area PKJ2021-Y07Suzhou Science and Technology Plan Project 2022SS02
6 · The paper itself

Abstract

The dysregulation of lipid metabolism has been strongly associated with Alzheimer's disease (AD) and has intricate connections with various aspects of disease progression, such as amyloidogenesis, bioenergetic deficit, oxidative stress, neuroinflammation, and myelin degeneration. Here, a comprehensive bioinformatic assessment was conducted on lipid metabolism genes in the brains and peripheral blood of AD-derived transcriptome datasets, characterizing the correlation between differentially expressed genes (DEGs) of lipid metabolism and disease pathologies, as well as immune cell preferences. Through the application of weighted gene co-expression network analysis (WGCNA), modules eigengenes related to lipid metabolism were pinpointed, and the examination of their molecular functions within biological processes, molecular pathways, and their associations with pathological phenotypes and molecular networks has been characterized. Analysis of biological networks indicates notable discrepancies in the expression patterns of the DEGs between neuronal and immune cells, as well as variations in cell type enrichments within both brain tissue and peripheral blood. Additionally, drugs targeting the DEGs from central and peripheral and a diagnostic model for hub genes from the blood were retrieved and assessed, some of which were shown to be useful for therapeutic and diagnostic. These results revealed the distinctive pattern of transcriptionally abnormal lipid metabolism in central, peripheral, and immune cell activation, providing valuable insight into lipid metabolism for diagnosing and guiding more effective treatment for AD.

Indexed as

Alzheimer DiseaseLipid MetabolismTranscriptomeBrainGene Regulatory NetworksHumansAlzheimer’s diseaseBioinformaticsBiomarkersImmune statusLipid metabolismTranscriptomics

Identifiers

PMID38776015

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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.