Evidence map›Paper›PMID 36895005›Full record

ArticleBMC medical genomics2023

Inflammation and neuronal gene expression changes differ in early versus late chronic traumatic encephalopathy brain.

Adam Labadorf, Filisia Agus, Nurgul Aytan, Jonathan Cherry, Jesse Mez, Ann McKee, Thor D Stein

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 12 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

7 authors at 1 institution in 2 countries.

Adam LabadorfNeurology, Boston University School of Medicine, Boston, MA, USA. labadorf@bu.edu.ORCID 0000-0002-0753-8992
Filisia AgusNeurology, Boston University School of Medicine, Boston, MA, USA.
Nurgul AytanNeurology, Boston University School of Medicine, Boston, MA, USA.
Jonathan CherryNeurology, Boston University School of Medicine, Boston, MA, USA.
Jesse MezNeurology, Boston University School of Medicine, Boston, MA, USA.
Ann McKeeNeurology, Boston University School of Medicine, Boston, MA, USA.
Thor D SteinPathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA. tdstein@bu.edu.
Boston University · US

Funding

RL5: Research Education CoreP30AG072978 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Ann C. McKee · 2021 to 2026
$25.6M
Traumatic Brain Injury and Repetitive Head Impacts: Contributions to AD/ADRD and CTE Neuropathology and Resulting Clinical SyndromesU54NS115266 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STEIN, THOR · 2019 to 2023
$10.3M
CTE and Posttraumatic Neurodegeneration: Neuropathology and Ex Vivo ImagingU01NS086659 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MCKEE, ANN C. · 2014 to 2017
$6.1M
Epigenetic changes in synaptic and inflammatory genes involved in the age-dependent development of Alzheimer's disease pathologies andcognitive declineRF1AG054156 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, RYU, HOON · 2016 to 2018
$3.4M
BLRD VA I01 BX005161BLRD VA I01 BX005933BLRD VA IK2 BX004349CSRD VA I01 CX001038NIA NIH HHS P30 AG072978NIA NIH HHS RF1 AG054156NINDS NIH HHS U01 NS086659NINDS NIH HHS U54 NS115266
6 · The paper itself

Abstract

backgroundOur understanding of the molecular underpinnings of chronic traumatic encephalopathy (CTE) and its associated pathology in post-mortem brain is incomplete. Factors including years of play and genetic risk variants influence the extent of tau pathology associated with disease expression, but how these factors affect gene expression, and whether those effects are consistent across the development of disease, is unknown.

methodsTo address these questions, we conducted an analysis of the largest post-mortem brain CTE mRNASeq whole-transcriptome dataset available to date. We examined the genes and biological processes associated with disease by comparing individuals with CTE with control individuals with a history of repetitive head impacts that lack CTE pathology. We then identified genes and biological processes associated with total years of play as a measure of exposure, amount of tau pathology present at time of death, and the presence of APOE and TMEM106B risk variants. Samples were stratified into low and high pathology groups based on McKee CTE staging criteria to model early versus late changes in response to exposure, and the relative effects associated with these factors were compared between these groups.

resultsSubstantial gene expression changes were associated with severe disease for most of these factors, primarily implicating diverse, strongly involved neuroinflammatory and neuroimmune processes. In contrast, low pathology groups had many fewer genes and processes implicated and show striking differences for some factors when compared with severe disease. Specifically, gene expression associated with amount of tau pathology showed a nearly perfect inverse relationship when compared between these two groups.

conclusionsTogether, these results suggest the early CTE disease process may be mechanistically different than what occurs in late stages, that total years of play and tau pathology influence disease expression differently, and that related pathology-modifying risk variants may do so via distinct biological pathways.

Indexed as

Chronic Traumatic EncephalopathyBrainHumansInflammationMembrane ProteinsNerve Tissue Proteinstau ProteinsTranscriptomeMembrane ProteinsNerve Tissue Proteinstau ProteinsTMEM106B protein, humanBioinformaticsChronic traumatic encephalopathyDifferential expressionmRNASeqNeurodegenerationNeuroinflammationPost mortem brain

Identifiers

PMID36895005
PMCPMC9996917
OpenAlexW4323666404

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Registered trials

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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.