Evidence map›Paper›PMID 31072055›Full record

ArticleCells2019

Genetic and Real-World Clinical Data, Combined with Empirical Validation, Nominate Jak-Stat Signaling as a Target for Alzheimer's Disease Therapeutic Development.

Alejo J Nevado-Holgado, Elena Ribe, Laura Thei, Laura Furlong, Miguel-Angel Mayer, Jie Quan, Jill C Richardson, Jonathan Cavanagh, Nima Consortium, Simon Lovestone

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 51 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

10 authors at 6 institutions in 3 countries.

Alejo J Nevado-HolgadoDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, UK. alejo.nevado-holgado@psych.ox.ac.uk.
Elena RibeDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, UK. elena.ribe@psych.ox.ac.uk.
Laura TheiDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, UK. l.j.thei@reading.ac.uk.
Laura FurlongGRIB, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain. laura.furlong@upf.edu.
Miguel-Angel MayerGRIB, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain. miguelangel.mayer@upf.edu.
Jie QuanComputational Sciences, Worldwide Research and Development, Pfizer Inc. 1 Portland St, Cambridge MA 02139, USA. Jie.Quan@pfizer.com.
Jill C RichardsonNeurosciences Therapeutic Area Unit, Glaxo Smith Kline R&D Ltd., Stevenage SG1 2NY, UK. Jill.C.Richardson@gsk.com.
Jonathan CavanaghInstitute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8TA UK. Jonathan.Cavanagh@glasgow.ac.uk.
Nima ConsortiumMembers of the NIMA consortium. Biodep@medschl.cam.ac.uk.
Simon LovestoneDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, UK. simon.lovestone@psych.ox.ac.uk.
University of Oxford · GBHospital Del Mar · ESGlaxoSmithKline (United Kingdom) · GBOxford Health NHS Foundation Trust · GBPfizer (United States) · USUniversity of Glasgow · GB

Funding

Department of HealthMedical Research Council MC_PC_17215Wellcome Trust 104025
6 · The paper itself

Abstract

As genome-wide association studies (GWAS) have grown in size, the number of genetic variants that have been associated per disease has correspondingly increased. Despite this increase in the number of single-nucleotide polymorphisms (SNPs) identified per disease, their biological interpretation has in many cases remained elusive. To address this, we have combined GWAS results with orthogonal sources of evidence, namely the current knowledge of molecular pathways; real-world clinical data from six million patients; RNA expression across tissues from Alzheimer's disease (AD) patients, and purpose-built rodent models for experimental validation. In more detail, first we show that when examined at a pathway level, analysis of all GWAS studies groups AD in a cluster with disorders of immunity and inflammation. Using clinical data, we show that the degree of comorbidity of these diseases with AD correlates with the strength of their genetic association with molecular participants in the Janus kinases/signal transducer and activator of transcription (JAK-STAT) pathway. Using four independent RNA expression datasets we then find evidence for the altered regulation of JAK-STAT pathway genes in AD. Finally, we use both in vitro and in vivo rodent models to demonstrate that Aβ induces gene expression of the key drivers of this pathway, providing experimental evidence to validate these data-driven observations. These results therefore nominate JAK-STAT anomalies as a prominent aetiopathological event in AD and hence a potential target for therapeutic development, and moreover demonstrate a de novo multi-modal approach to derive information from rapidly increasing genomic datasets.

Indexed as

Molecular Targeted TherapySignal TransductionAgedAlzheimer DiseaseAmyloid beta-PeptidesAnimalsFemaleGene Expression RegulationGenetic Predisposition to DiseaseHumansImmunityJanus KinasesMaleModels, BiologicalMorbidityNeurotoxinsAmyloid beta-PeptidesJanus KinasesNeurotoxinsSTAT Transcription FactorsAlzheimeranimal modelsgenomicsJAK-STATmultimodaltranscriptomics

Identifiers

PMID31072055
PMCPMC6562942
OpenAlexW2952936880

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.