Evidence map›Paper›PMID 26115089›Full record

ArticleJournal of neurochemistry2015

Novel human ABCC9/SUR2 brain-expressed transcripts and an eQTL relevant to hippocampal sclerosis of aging.

Peter T Nelson, Wang-Xia Wang, Bernard R Wilfred, Angela Wei, James Dimayuga, Qingwei Huang, Eseosa Ighodaro, Sergey Artiushin, David W Fardo

Open access · greenAbstract read
In one paragraph

Article in Journal of neurochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Bayliss-Starling Prize Lecture: KThe Journal of physiology · 2025
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  10. KMolecular neurobiology · 2018
    Article
  11. Article
  12. "New Old Pathologies": AD, PART, and Cerebral Age-Related TDP-43 With Sclerosis (CARTS).Journal of neuropathology and experimental neurology · 2016
    Review
  13. 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

9 authors at 1 institution in 1 country.

Peter T NelsonSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
Wang-Xia WangSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
Bernard R WilfredSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
Angela WeiSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
James DimayugaSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
Qingwei HuangSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
Eseosa IghodaroSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
Sergey ArtiushinSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
David W FardoSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.
University of Kentucky · US

Funding

University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2006 to 2020
$23.3M
Statistical Genetics Methods for Mixed PathologiesK25AG043546 · NIA · UNIVERSITY OF KENTUCKY · PI FARDO, DAVID WILLIAM · 2013 to 2015
$445k
NIA NIH HHS K25 AG043546NIA NIH HHS K25AG043546NIA NIH HHS P30 AG028383
6 · The paper itself

Abstract

ABCC9 genetic polymorphisms are associated with increased risk for various human diseases including hippocampal sclerosis of aging. The main goals of this study were 1 > to detect the ABCC9 variants and define the specific 3' untranslated region (3'UTR) for each variant in human brain, and 2 > to determine whether a polymorphism (rs704180) associated with risk for hippocampal sclerosis of aging pathology is also associated with variation in ABCC9 transcript expression and/or splicing. Rapid amplification of ABCC9 cDNA ends (3'RACE) provided evidence of novel 3' UTR portions of ABCC9 in human brain. In silico and experimental studies were performed focusing on the single nucleotide polymorphism, rs704180. Analyses from multiple databases, focusing on rs704180 only, indicated that this risk allele is a local expression quantitative trait locus (eQTL). Analyses of RNA from human brains showed increased ABCC9 transcript levels in individuals with the risk genotype, corresponding with enrichment for a shorter 3' UTR which may be more stable than variants with the longer 3' UTR. MicroRNA transfection experiments yielded results compatible with the hypothesis that miR-30c causes down-regulation of SUR2 transcripts with the longer 3' UTR. Thus we report evidence of complex ABCC9 genetic regulation in brain, which may be of direct relevance to human disease. ABCC9 gene variants are associated with increased risk for hippocampal sclerosis of aging (HS-Aging--a prevalent brain disease with symptoms that mimic Alzheimer's disease). We describe novel ABCC9 variants in human brain, corresponding to altered 3'UTR length, which could lead to targeting by miR-30c. We also determined that the HS-Aging risk mutation is associated with variation in ABCC9 transcript expression.

Indexed as

Aged, 80 and overAgingBrain DiseasesFemaleGene Expression RegulationGenetic Predisposition to DiseaseHippocampusHumansMaleMicroRNAsNeurodegenerative DiseasesPolymerase Chain ReactionPolymorphism, Single NucleotideQuantitative Trait LociSclerosisSulfonylurea ReceptorsABCC9 protein, humanMicroRNAsMIRN30b microRNA, humanSulfonylurea ReceptorsKATPSUR2ASUR2AbSUR2BTDP-43

Identifiers

PMID26115089
PMCPMC4593479
OpenAlexW2145455461

What OpenQuestion holds

Textmetadata
LicenceTDM
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.