Evidence map›Paper›PMID 34768988›Full record

ArticleInternational journal of molecular sciences2021

Revealing the Molecular Mechanisms of Alzheimer's Disease Based on Network Analysis.

Abdulahad Bayraktar, Simon Lam, Ozlem Altay, Xiangyu Li, Meng Yuan, Cheng Zhang, Muhammad Arif, Hasan Turkez, Mathias Uhlén, Saeed Shoaie and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Abdulahad BayraktarCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 9RT, UK.ORCID 0000-0001-5287-5026
Simon LamCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 9RT, UK.ORCID 0000-0002-4476-0971
Ozlem AltayScience for Life Laboratory, KTH-Royal Institute of Technology, SE-17121 Stockholm, Sweden.
Xiangyu LiScience for Life Laboratory, KTH-Royal Institute of Technology, SE-17121 Stockholm, Sweden.ORCID 0000-0002-8301-9959
Meng YuanScience for Life Laboratory, KTH-Royal Institute of Technology, SE-17121 Stockholm, Sweden.
Cheng ZhangScience for Life Laboratory, KTH-Royal Institute of Technology, SE-17121 Stockholm, Sweden.ORCID 0000-0002-3721-8586
Muhammad ArifScience for Life Laboratory, KTH-Royal Institute of Technology, SE-17121 Stockholm, Sweden.ORCID 0000-0003-2261-0881
Hasan TurkezDepartment of Medical Biology, Faculty of Medicine, Ataturk University, Erzurum 25240, Turkey.ORCID 0000-0002-7046-8990
Mathias UhlénScience for Life Laboratory, KTH-Royal Institute of Technology, SE-17121 Stockholm, Sweden.
Saeed ShoaieCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 9RT, UK.
Adil MardinogluCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 9RT, UK.ORCID 0000-0002-4254-6090
Science for Life Laboratory · SEKing's College London · GBAtatürk University · TR

Funding

Knut and Alice Wallenberg Foundation NAScandiBio Therapeutics NATurkish Government, Ministry of National Education NA
6 · The paper itself

Abstract

The complex pathology of Alzheimer's disease (AD) emphasises the need for comprehensive modelling of the disease, which may lead to the development of efficient treatment strategies. To address this challenge, we analysed transcriptome data of post-mortem human brain samples of healthy elders and individuals with late-onset AD from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) and Mayo Clinic (MayoRNAseq) studies in the AMP-AD consortium. In this context, we conducted several bioinformatics and systems medicine analyses including the construction of AD-specific co-expression networks and genome-scale metabolic modelling of the brain in AD patients to identify key genes, metabolites and pathways involved in the progression of AD. We identified

Indexed as

Adenosine TriphosphatasesAgingAlzheimer DiseaseBrainComputational BiologyEnergy MetabolismGene Expression ProfilingGenetic MarkersGenome, HumanHumansOxidative PhosphorylationTranscriptomeAdenosine TriphosphatasesGenetic MarkersAlzheimer’s diseaseenergy metabolismgene co-expression networkgenome-scale metabolic modelreporter metabolite analysis

Identifiers

PMID34768988
PMCPMC8584243
OpenAlexW3208214820

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.