An Enrichment Strategy Yields Seven Novel Single Nucleotide Polymorphisms Associated With Mortality and Altered Th17 Responses Following Blunt Trauma. Issue 3 (March 2018)
- Record Type:
- Journal Article
- Title:
- An Enrichment Strategy Yields Seven Novel Single Nucleotide Polymorphisms Associated With Mortality and Altered Th17 Responses Following Blunt Trauma. Issue 3 (March 2018)
- Main Title:
- An Enrichment Strategy Yields Seven Novel Single Nucleotide Polymorphisms Associated With Mortality and Altered Th17 Responses Following Blunt Trauma
- Authors:
- Schimunek, Lukas
Namas, Rami A.
Yin, Jinling
Liu, Dongmei
Barclay, Derek
el-Dehaibi, Fayten
Abboud, Andrew
Lindberg, Haley
Zamora, Ruben
Billiar, Timothy R.
Vodovotz, Yoram - Abstract:
- Abstract : ABSTRACT: Trauma is the leading cause of death worldwide for individuals under the age of 55. Interpatient genomic differences, in the form of candidate single-nucleotide polymorphisms (SNPs), have been associated previously with adverse outcomes after trauma. However, the utility of these SNPs to predict outcomes based on a meaningful endpoint such as survival is as yet undefined. We hypothesized that specific SNP haplotypes could segregate trauma survivors from non-survivors. Genomic DNA samples were obtained from 453 blunt trauma patients, for whom complete daily clinical and biomarker data were available for 397. Of these, 13 patients were non-survivors and the remaining 384 were survivors. All 397 DNA samples were amplified, fragmented, and examined for 551, 839 SNPs using the Illumina Infinium CoreExome-24 v1.1 BeadChip (Illumina). To enrich for likely important SNPs, we initially compared SNPs of the 13 non-survivors versus 13 matched survivors, who were matched algorithmically for injury severity score (ISS), age, and gender ratio. This initial enrichment yielded 126 SNPs; a further comparison to the haplotypes of the remaining 371 survivors yielded a final total of 7 SNPs that distinguished survivors from non-survivors. Furthermore, severely injured survivors with the same seven SNPs as non-survivor exhibited distinct inflammatory responses from similarly injured survivors without those SNPs, and specifically had evidence of altered Th17 cell phenotypesAbstract : ABSTRACT: Trauma is the leading cause of death worldwide for individuals under the age of 55. Interpatient genomic differences, in the form of candidate single-nucleotide polymorphisms (SNPs), have been associated previously with adverse outcomes after trauma. However, the utility of these SNPs to predict outcomes based on a meaningful endpoint such as survival is as yet undefined. We hypothesized that specific SNP haplotypes could segregate trauma survivors from non-survivors. Genomic DNA samples were obtained from 453 blunt trauma patients, for whom complete daily clinical and biomarker data were available for 397. Of these, 13 patients were non-survivors and the remaining 384 were survivors. All 397 DNA samples were amplified, fragmented, and examined for 551, 839 SNPs using the Illumina Infinium CoreExome-24 v1.1 BeadChip (Illumina). To enrich for likely important SNPs, we initially compared SNPs of the 13 non-survivors versus 13 matched survivors, who were matched algorithmically for injury severity score (ISS), age, and gender ratio. This initial enrichment yielded 126 SNPs; a further comparison to the haplotypes of the remaining 371 survivors yielded a final total of 7 SNPs that distinguished survivors from non-survivors. Furthermore, severely injured survivors with the same seven SNPs as non-survivor exhibited distinct inflammatory responses from similarly injured survivors without those SNPs, and specifically had evidence of altered Th17 cell phenotypes based on computational modeling. These studies suggest an interaction among genetic polymorphism, injury severity, and initial inflammatory responses in driving trauma outcomes. Abstract : Supplemental Digital Content is available in the text … (more)
- Is Part Of:
- Shock. Volume 49:Issue 3(2018)
- Journal:
- Shock
- Issue:
- Volume 49:Issue 3(2018)
- Issue Display:
- Volume 49, Issue 3 (2018)
- Year:
- 2018
- Volume:
- 49
- Issue:
- 3
- Issue Sort Value:
- 2018-0049-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-03
- Subjects:
- Chemokine -- clinical outcomes -- computational modeling -- cytokine -- dynamic network analysis -- genetic variability -- genomics -- inflammation -- principal component analysis -- AMCP-1 -- Monocyte Chemoattractant Protein-1 -- ANOVA -- analysis of variance -- ATP -- adenosine triphosphate -- DAMP -- damage-associated molecular pattern molecule -- DCAF -- DDB1- and CUL4-associated factor -- DyNA -- dynamic network analysis -- eGFR -- estimated glomerular filtration rate -- FAD -- flavin adenine dinucleotide -- GM-CSF -- granulocyte-macrophage colony-stimulating factor -- ICU -- intensive care unit -- IFN -- interferon -- IL -- interleukin -- IL-1RA -- IL-1 receptor antagonist -- IP-10 -- interferon-γ-inducible protein of 10 kDa -- ISS -- Injury Severity Score -- MADD -- Multiple Acyl-CoA Dehydrogenase Deficiency -- MIG -- monokine induced by Interferon-γ -- MIP -- macrophage inflammatory protein -- MPPED2 -- metallophosphoesterase domain containing protein 2 -- NO2− -- nitrite -- NO3− -- nitrate -- PCA -- principal component analysis -- SEM -- standard error of the mean -- sIL-2Rα -- soluble interleukin-2 receptor α-chain -- SLC25A32 -- solute carrier family 25 member 32 -- SNP -- single-nucleotide polymorphism -- ST2 -- IL-1 receptor-like 1 -- Th17 -- T helper 17 cells -- TNF-α -- tumor necrosis factor-α
Shock -- Periodicals
Shock -- Periodicals
Choc (Pathologie) -- Périodiques
Shock
Periodicals
616.0475 - Journal URLs:
- http://www.shockjournal.com ↗
http://ovidsp.ovid.com/ovidweb.cgi?T=JS&NEWS=n&CSC=Y&PAGE=toc&D=yrovft&AN=00024382-000000000-00000 ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/SHK.0000000000000987 ↗
- Languages:
- English
- ISSNs:
- 1073-2322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8267.443000
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- 9044.xml