Evidence map›Paper›PMID 36238934›Full record

ArticleFrontiers in aging neuroscience2022

Weakly activated core neuroinflammation pathways were identified as a central signaling mechanism contributing to the chronic neurodegeneration in Alzheimer's disease.

Fuhai Li, Abdallah M Eteleeb, William Buchser, Christopher Sohn, Guoqiao Wang, Chengjie Xiong, Philip R Payne, Eric McDade, Celeste M Karch, Oscar Harari and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

23 citing papers in PubMed, 25 citations in OpenAlex.

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  18. Therapeutic Candidates for Alzheimer's Disease: Saponins.International journal of molecular sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Fuhai LiInstitute for Informatics (I2), Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Abdallah M EteleebNeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
William BuchserDepartment of Neuroscience, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Christopher SohnNeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Guoqiao WangDivision of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Chengjie XiongDivision of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Philip R PayneInstitute for Informatics (I2), Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Eric McDadeDepartment of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Celeste M KarchNeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Oscar HarariNeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Carlos CruchagaNeuroGenomics and Informatics, Washington University in St. Louis School of Medicine, St. Louis, MO, United States.
Washington University in St. Louis · USHope Center for Neurological Disorders · US

Funding

Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
NIA NIH HHS P30 AG066444
6 · The paper itself

Abstract

Objectives: Neuroinflammation signaling has been identified as an important hallmark of Alzheimer's disease (AD) in addition to amyloid β plaques (Aβ) and neurofibrillary tangles (NFTs). However, the molecular mechanisms and biological processes of neuroinflammation remain unclear and have not well delineated using transcriptomics data available. Our objectives are to uncover the core neuroinflammation signaling pathways in AD using integrative network analysis on the transcriptomics data. Materials and methods: From a novel perspective, i.e., investigating weakly activated molecular signals (rather than the strongly activated molecular signals), we developed integrative and systems biology network analysis to uncover potential core neuroinflammation signaling targets and pathways in AD using the two large-scale transcriptomics datasets, i.e., Mayo Clinic (77 controls and 81 AD samples) and ROSMAP (97 controls and 260 AD samples). Results: Our analysis identified interesting core neuroinflammation signaling pathways, which are not systematically reported in the previous studies of AD. Specifically, we identified 7 categories of signaling pathways implicated on AD and related to virus infection: immune response, x-core signaling, apoptosis, lipid dysfunctional, biosynthesis and metabolism, and mineral absorption signaling pathways. More interestingly, most of the genes in the virus infection, immune response, and x-core signaling pathways are associated with inflammation molecular functions. The x-core signaling pathways were defined as a group of 9 signaling proteins: MAPK, Rap1, NF-kappa B, HIF-1, PI3K-Akt, Wnt, TGF-beta, Hippo, and TNF, which indicated the core neuroinflammation signaling pathways responding to the low-level and weakly activated inflammation and hypoxia and leading to the chronic neurodegeneration. It is interesting to investigate the detailed signaling cascades of these weakly activated neuroinflammation signaling pathways causing neurodegeneration in a chronic process, and consequently uncover novel therapeutic targets for effective AD treatment and prevention. Conclusions: The potential core neuroinflammation and associated signaling targets and pathways were identified using integrative network analysis on two large-scale transcriptomics datasets of AD.

Indexed as

Alzheimer’s diseasemolecular mechanismneuroinflammationsignaling networksignaling targets

Identifiers

PMID36238934
PMCPMC9551568
OpenAlexW4297312281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.