Abstract
Traumatic injury accounts for significant morbidity and mortality across all age groups. Unlike other diseases, the onset of injury is known and therefore trauma is well poised as an ideal disease entity for the development and use of predictive biomarkers. In this chapter, we describe biomarkers that have been used for or show promise for prognostication following traumatic injury. This chapter begins with a brief report on prognostic biomarkers specific to traumatic brain injury and goes on to describe several classes of biomarkers in polytrauma including cytokines, genomics, endothelial damage markers, and damage-associated molecular patternĀ molecules. Throughout the chapter, we make the important distinction between correlative biomarkers, which inform hypotheses and guide prospective experiments, and true predictive biomarkers established through rigorous testing and modeling. We close the chapter with recent work utilizing multi-omic and machine learning strategies which show great promise in the identification and utilization of predictive biomarkers following traumatic injury.
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Abbreviations
- ACIT2:
-
activation of coagulation and inflammation in trauma
- AKI:
-
acute kidney injury
- Ang-1:
-
angiopoietin-1
- Ang-2:
-
angiopoietin-2
- AUC:
-
area under the curve
- AUROC:
-
area under the receiver operative characteristic curve
- CAR:
-
CRP to albumin ratio
- CRP:
-
C-reactive protein
- CST5:
-
Cystatin D
- DAMPs:
-
damage-associated molecular patterns
- GCS:
-
Glasgow-Coma score
- GCSF:
-
granulocyte colony-stimulating factor
- GFAP:
-
glial fibrillary acidic protein
- HMGB1:
-
high-mobility group box 1
- HSP70:
-
heat-shock protein 70
- ICU:
-
intensive care unit
- IFN:
-
interferon
- IL-10:
-
interleukin-10
- IL17A:
-
interleukin-17A
- IL-2:
-
interleukin-2
- IL-33:
-
interleukin-33
- IL-5:
-
interleukin-5
- IL-6:
-
interleukin-6
- IL-7:
-
interleukin-7
- IL-8:
-
interleukin-8
- ISS:
-
injury severity score
- LOS:
-
length of stay
- LRS:
-
lipid reprogramming score
- MCP-1:
-
monocyte chemoattractant protein-1
- MHCII:
-
major histocompatibility complex
- MIP-1a:
-
macrophage inflammatory protein-1 alpha
- MODS:
-
multiple organ dysfunction syndrome
- MOF:
-
multiorgan failure
- MPPED2:
-
metallophosphoesterase domain-containing 2
- mtDNA:
-
mitochondrial DNA
- NAA:
-
N-acetylaspartate
- NETs:
-
neutrophil extracellular traps
- OR:
-
odds ratio
- PAMPer:
-
The Prehospital Air Medical Plasma trial
- PCA:
-
principal component analysis
- PE:
-
phosphatidylethanolamine
- RAGE:
-
receptor for advanced glycation end products
- ROC:
-
receiver operating characteristic
- SIRS:
-
systemic inflammatory response syndrome
- SNPs:
-
single nucleotide polymorphisms
- SOFA:
-
sequential organ failure assessment
- SSI:
-
surgical site infection
- sST2:
-
soluble suppressor of tumorigenesis-2
- TBI:
-
traumatic brain injury
- Th17:
-
T-helper 17
- TLR:
-
toll-like receptor
- UCH-L1:
-
ubiquitin C-terminal hydrolase
- UCLH1:
-
ubiquitin carboxy-terminal hydrolase L1
- VEGF:
-
vascular endothelial growth factor
- WBC:
-
white blood cell
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Bonaroti, J., Li, S., Abdelhamid, S., Billiar, T. (2023). Prognostic Biomarkers to Predict Outcomes in Trauma. In: Rajendram, R., Preedy, V.R., Patel, V.B. (eds) Biomarkers in Trauma, Injury and Critical Care. Biomarkers in Disease: Methods, Discoveries and Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-07395-3_8
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