Evidence map›Paper›PMID 33524553›Full record

ArticleBrain, behavior, and immunity2021

Treelet transform analysis to identify clusters of systemic inflammatory variance in a population with moderate-to-severe traumatic brain injury.

Sushupta M Vijapur, Leah E Vaughan, Nabil Awan, Dominic DiSanto, Gina P McKernan, Amy K Wagner

Abstract read
In one paragraph

Article in Brain, behavior, and immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Sushupta M VijapurDepartment of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
Leah E VaughanDepartment of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
Nabil AwanDepartment of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
Dominic DiSantoDepartment of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
Gina P McKernanDepartment of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA; Human Engineering Research Laboratories, University of Pittsburgh, Pittsburgh, PA, USA.
Amy K WagnerDepartment of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA; Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA; Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: wagnerak@upmc.edu.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
NCCDPHP CDC HHS U48 DP000041NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

backgroundInflammatory cascades following traumatic brain injury (TBI) can have both beneficial and detrimental effects on recovery. Single biomarker studies do not adequately reflect the major arms of immunity and their relationships to long-term outcomes. Thus, we applied treelet transform (TT) analysis to identify clusters of interrelated inflammatory markers reflecting major components of systemic immune function for which substantial variation exists among individuals with moderate-to-severe TBI.

methodsSerial blood samples from 221 adults with moderate-to-severe TBI were collected over 1-6 months post-injury (n = 607 samples). Samples were assayed for 33 inflammatory markers using Millipore multiplex technology. TT was applied to standardized mean biomarker values generated to identify latent patterns of correlated markers. Treelet clusters (TC) were characterized by biomarkers related to adaptive immunity (TC1), innate immunity (TC2), soluble molecules (TC3), allergy immunity (TC4), and chemokines (TC5). For each TC, a score was generated as the linear combination of standardized biomarker concentrations and cluster load for each individual in the cohort. Ordinal logistic or linear regression was used to test associations between TC scores and 6- and 12-month Glasgow Outcome Scale (GOS), Disability Rating Scale (DRS), and covariates.

resultsWhen adjusting for clinical covariates, TC5 was significantly associated with 6-month GOS (odds ratio, OR = 1.44; p-value, p = 0.025) and 6-month DRS scores (OR = 1.46; p = 0.013). TC5 relationships were attenuated when including all TC scores in the model (GOS: OR = 1.29, p = 0.163; DRS: OR = 1.33, p = 0.100). When adjusting for all TC scores and covariates, only TC3 was associated with 6- and 12-month GOS (OR = 1.32, p = 0.041; OR = 1.39, p = 0.002) and also 6- and 12-month DRS (OR = 1.38, p = 0.016; OR = 1.58, p = 0.0002). When applying TT to inflammation markers significantly associated with 6-month GOS, multivariate modeling confirmed that TC3 remained significantly associated with GOS. Biomarker cluster membership remained consistent between the GOS-specific dendrogram and overall dendrogram.

conclusionsTT effectively characterized chronic, systemic immunity among a cohort of individuals with moderate-to-severe TBI. We posit that chronic chemokine levels are effector molecules propagating cellular immune dysfunction, while chronic soluble receptors are inflammatory damage readouts perpetuated, in part, by persistent dysfunctional cellular immunity to impact neuro-recovery.

Indexed as

Brain Injuries, TraumaticAdultBiomarkersCohort StudiesGlasgow Outcome ScaleHumansInflammationBiomarkersAdaptive immunityBiomarkerChemokineCytokineGlasgow outcome scaleInflammationInnate immunitySoluble receptorTraumatic brain injuryTreelet transform analysis

Identifiers

PMID33524553
PMCPMC9004489

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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.