Evidence map›Paper›PMID 29671324›Full record

ArticleJournal of proteome research2018

Discovery of Lipidome Alterations Following Traumatic Brain Injury via High-Resolution Metabolomics.

Scott R Hogan, John H Phan, Melissa Alvarado-Velez, May Dongmei Wang, Ravi V Bellamkonda, Facundo M Fernández, Michelle C LaPlaca

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 64 citations in OpenAlex.

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  7. Observational
  8. Revisiting the critical roles of reactive microglia in traumatic brain injury.International journal of surgery (London, England) · 2025
    Review
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  11. New insights into metabolism dysregulation after TBI.Journal of neuroinflammation · 2024
    Review
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  14. Article
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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 1 country.

Scott R HoganSchool of Chemistry and Biochemistry , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
John H PhanWallace H Coulter Department of Biomedical Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Melissa Alvarado-VelezWallace H Coulter Department of Biomedical Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
May Dongmei WangWallace H Coulter Department of Biomedical Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Ravi V BellamkondaWallace H Coulter Department of Biomedical Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Facundo M FernándezSchool of Chemistry and Biochemistry , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.ORCID 0000-0002-0302-2534
Michelle C LaPlacaWallace H Coulter Department of Biomedical Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Georgia Institute of Technology · US

Funding

Graduate Training for Rationally Designed, Integrative Biomaterials - GT BioMATT32EB006343 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI TEMENOFF, JOHNNA S · 2008 to 2018
$2.2M
Prevention of Cerebrospinal Fluid (CSF) Shunt InfectionsR01NS101029 · NINDS · SEATTLE CHILDREN'S HOSPITAL · PI SIMON, TAMARA DANIELLE · 2018 to 2022
$2.2M
Immunomodulatory Hydrogels for Stem Cell Therapy after TBIR01NS079739 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BELLAMKONDA, RAVI V. · 2012 to 2016
$1.6M
Lipid Biomarker Efflux from the Brain following TBIR01NS101909 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI FERNANDEZ, FACUNDO MARTIN, LAPLACA, MICHELLE C · 2020 to 2023
$1.4M
A Pre-Clinical Model of TBI HeterogeneityR21NS091832 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LAPLACA, MICHELLE C · 2015 to 2016
$400k
Lipid Biomarker Efflux from the Brain following TBIR56NS101909 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI FERNANDEZ, FACUNDO MARTIN, LAPLACA, MICHELLE C · 2017 to 2017
$379k
NIBIB NIH HHS T32 EB006343NINDS NIH HHS R01 NS079739NINDS NIH HHS R01 NS101029NINDS NIH HHS R01 NS101909NINDS NIH HHS R21 NS091832NINDS NIH HHS R56 NS101909
6 · The paper itself

Abstract

Traumatic brain injury (TBI) can occur across wide segments of the population, presenting in a heterogeneous manner that makes diagnosis inconsistent and management challenging. Biomarkers offer the potential to objectively identify injury status, severity, and phenotype by measuring the relative concentrations of endogenous molecules in readily accessible biofluids. Through a data-driven, discovery approach, novel biomarker candidates for TBI were identified in the serum lipidome of adult male Sprague-Dawley rats in the first week following moderate controlled cortical impact (CCI). Serum samples were analyzed in positive and negative modes by ultraperformance liquid chromatography-mass spectrometry (UPLC-MS). A predictive panel for the classification of injured and uninjured sera samples, consisting of 26 dysregulated species belonging to a variety of lipid classes, was developed with a cross-validated accuracy of 85.3% using omniClassifier software to optimize feature selection. Polyunsaturated fatty acids (PUFAs) and PUFA-containing diacylglycerols were found to be upregulated in sera from injured rats, while changes in sphingolipids and other membrane phospholipids were also observed, many of which map to known secondary injury pathways. Overall, the identified biomarker panel offers viable molecular candidates representing lipids that may readily cross the blood-brain barrier (BBB) and aid in the understanding of TBI pathophysiology.

Indexed as

Lipid MetabolismAnimalsBiomarkersBrain Injuries, TraumaticChromatography, LiquidMaleMetabolomicsRatsRats, Sprague-DawleySoftwareTandem Mass SpectrometryBiomarkersanimal modelbiomarkerslipidomicsmass spectrometrytraumatic brain injury

Identifiers

PMID29671324
PMCPMC7341947
OpenAlexW2799489812

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.