Evidence map›Paper›PMID 32817302›Full record

ArticleLearning & memory (Cold Spring Harbor, N.Y.)2020

Identifying the molecular systems that influence cognitive resilience to Alzheimer's disease in genetically diverse mice.

Sarah E Heuer, Sarah M Neuner, Niran Hadad, Kristen M S O'Connell, Robert W Williams, Vivek M Philip, Chris Gaiteri, Catherine C Kaczorowski

Abstract read
In one paragraph

Article in Learning & memory (Cold Spring Harbor, N.Y.), 2020. 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
–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

17 citing papers in PubMed.

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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

8 authors.

Sarah E HeuerThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID 0000-0003-4461-2386
Sarah M NeunerThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID 0000-0001-5091-401X
Niran HadadThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID 0000-0001-8839-7011
Kristen M S O'ConnellThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID 0000-0002-4187-747X
Robert W WilliamsUniversity of Tennessee Health Science Center, Memphis, Tennessee 38163, USA.ORCID 0000-0001-8924-4447
Vivek M PhilipThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID 0000-0001-5126-707X
Chris GaiteriRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA.ORCID 0000-0001-7838-8664
Catherine C KaczorowskiThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID 0000-0001-5430-0816

Funding

Systems Genetics Analysis of Resilience to Alzheimers diseaseR01AG057914 · NIA · JACKSON LABORATORY · PI KACZOROWSKI, CATHERINE COOK · 2017 to 2021
$7.0M
Identifying the origins of resilience through human single cell molecular networks, then testing them in diverse, resilient, human IPS linesR01AG061798 · NIA · UPSTATE MEDICAL UNIVERSITY · PI GAITERI, CHRISTOPHER A. · 2018 to 2023
$5.5M
Systems Control of Normal Aging and Alzheimer's DiseaseR01AG054180 · NIA · JACKSON LABORATORY · PI KACZOROWSKI, CATHERINE COOK · 2017 to 2021
$4.4M
Identifying the molecular systems, networks, and key molecules that underlie cognitive resilienceR01AG057911 · NIA · UPSTATE MEDICAL UNIVERSITY · PI GAITERI, CHRISTOPHER A. · 2017 to 2021
$3.8M
Modulation of AgRP Neuronal Excitability: Role of Diet and Body WeightR01DK102918 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI O'CONNELL, KRISTEN M · 2014 to 2018
$2.0M
Training Program in Precision Genetics of Aging, Alzheimer's Disease and Related DementiasT32AG062409 · NIA · JACKSON LABORATORY · PI Gareth R Howell, KRISTEN M O'CONNELL · 2020 to 2026
$1.5M
Identification of Genetic Modifiers of Neuronal Deficits and Memory Failure in Alzheimers DiseaseF31AG050357 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI NEUNER, SARAH M · 2015 to 2018
$171k
NIA NIH HHS F31 AG050357NIA NIH HHS R01 AG054180NIA NIH HHS R01 AG057911NIA NIH HHS R01 AG057914NIA NIH HHS R01 AG061798NIA NIH HHS T32 AG062409NIDDK NIH HHS R01 DK102918
6 · The paper itself

Abstract

Individual differences in cognitive decline during normal aging and Alzheimer's disease (AD) are common, but the molecular mechanisms underlying these distinct outcomes are not fully understood. We utilized a combination of genetic, molecular, and behavioral data from a mouse population designed to model human variation in cognitive outcomes to search for the molecular mechanisms behind this population-wide variation. Specifically, we used a systems genetics approach to relate gene expression to cognitive outcomes during AD and normal aging. Statistical causal-inference Bayesian modeling was used to model systematic genetic perturbations matched with cognitive data that identified astrocyte and microglia molecular networks as drivers of cognitive resilience to AD. Using genetic mapping, we identified

Indexed as

AgingAlzheimer DiseaseAstrocytesCognitive DysfunctionCognitive ReserveMicrogliaAnimalsBehavior, AnimalBiomarkersBrainFemaleGene Expression RegulationGene Regulatory NetworksHumansIndividualityMaleBiomarkers

Identifiers

PMID32817302
PMCPMC7433658

What OpenQuestion holds

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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.