Evidence map›Paper›PMID 28189700›Full record

ArticleExperimental gerontology2017

CSF protein changes associated with hippocampal sclerosis risk gene variants highlight impact of GRN/PGRN.

David W Fardo, Yuriko Katsumata, John S K Kauwe, Yuetiva Deming, Oscar Harari, Carlos Cruchaga, Alzheimer's Disease Neuroimaging Initiative, Peter T Nelson

Open access · greenAbstract read
In one paragraph

Article in Experimental gerontology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  5. Article
  6. Secreted Chaperones in Neurodegeneration.Frontiers in aging neuroscience · 2020
    Review
  7. Article
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 at 3 institutions in 1 country.

David W FardoSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA; Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA. Electronic address: david.fardo@uky.edu.
Yuriko KatsumataSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA; Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA.
John S K KauweDepartment of Biology, BYU, Provo, UT, USA.
Yuetiva DemingDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Oscar HarariDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA.
Alzheimer's Disease Neuroimaging Initiative
Peter T NelsonSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA; Department of Pathology, College of Medicine, University of Kentucky, Lexington, KY, USA.
University of Kentucky · USWashington University in St. Louis · USProvo College · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI RICHARD Justin PERRIN · 1985 to 2026
$69.5M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2006 to 2020
$23.3M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
Identifying Rare Variants that Increase Risk for Alzheimer's DiseaseRF1AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2019 to 2019
$3.6M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
Use of Endophenotypes in the Search for Alzheimer's Disease Risk GenesR01AG035083 · NIA · WASHINGTON UNIVERSITY · PI GOATE, ALISON M · 2010 to 2014
$2.3M
Novel pathogenetic mechanism for hippocampal sclerosis, a common Alzheimers mimicR01AG057187 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2017 to 2021
$2.2M
"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"K01AG030514 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARMICHAEL, OWEN T. · 2008 to 2012
$495k
Statistical Genetics Methods for Mixed PathologiesK25AG043546 · NIA · UNIVERSITY OF KENTUCKY · PI FARDO, DAVID WILLIAM · 2013 to 2015
$445k
NIA NIH HHS K01 AG030514NIA NIH HHS K25 AG043546NIA NIH HHS P01 AG003991NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG028383NIA NIH HHS R01 AG035083NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG057187NIA NIH HHS R21 AG050146NIA NIH HHS RF1 AG044546NIA NIH HHS RF1 AG053303NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

objectiveHippocampal sclerosis of aging (HS-Aging) is a common cause of dementia in older adults. We tested the variability in cerebrospinal fluid (CSF) proteins associated with previously identified HS-Aging risk single nucleotide polymorphisms (SNPs).

methodsAlzheimer's Disease Neuroimaging Initiative cohort (ADNI; n=237) data, combining both multiplexed proteomics CSF and genotype data, were used to assess the association between CSF analytes and risk SNPs in four genes (SNPs): GRN (rs5848), TMEM106B (rs1990622), ABCC9 (rs704180), and KCNMB2 (rs9637454). For controls, non-HS-Aging SNPs in APOE (rs429358/rs7412) and MAPT (rs8070723) were also analyzed against Aβ1-42 and total tau CSF analytes.

resultsThe GRN risk SNP (rs5848) status correlated with variation in CSF proteins, with the risk allele (T) associated with increased levels of AXL Receptor Tyrosine Kinase (AXL), TNF-Related Apoptosis-Inducing Ligand Receptor 3 (TRAIL-R3), Vascular Cell Adhesion Molecule-1 (VCAM-1) and clusterin (CLU) (all p<0.05 after Bonferroni correction). The TRAIL-R3 correlation was significant in meta-analysis with an additional dataset (p=5.05×10

Indexed as

AgedAged, 80 and overAgingAmyloid beta-PeptidesBiomarkersClusterinDatabases, FactualDementiaFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGPI-Linked ProteinsHippocampusHumansIntercellular Signaling Peptides and ProteinsMaleAmyloid beta-PeptidesBiomarkersClusterinGPI-Linked ProteinsGRN protein, humanIntercellular Signaling Peptides and ProteinsProgranulinsReceptors, Tumor Necrosis Factor, Member 10ctau ProteinsTNFRSF10C protein, humanVascular Cell Adhesion Molecule-1BiomarkersClusterinGranulinNeuroinflammationProgranulinProteomics

Identifiers

PMID28189700
PMCPMC5389672
OpenAlexW2586081581

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.