Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.
Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Shock. 2018 Mar;49(3):259-268. doi: 10.1097/SHK.0000000000000987.
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.
创伤是全球 55 岁以下人群的主要死亡原因。先前有研究表明,患者间基因组差异(表现为候选单核苷酸多态性,SNP)与创伤后不良结局相关。然而,这些 SNP 是否可用于基于有意义的终点(如存活率)来预测结局,目前仍不明确。我们假设特定的 SNP 单倍型可将创伤幸存者与非幸存者区分开来。从 453 例钝器伤患者中获取基因组 DNA 样本,其中 397 例患者具有完整的每日临床和生物标志物数据。在这 397 例患者中,13 例患者为非幸存者,其余 384 例为幸存者。对所有 397 例 DNA 样本进行扩增、片段化,并使用 Illumina Infinium CoreExome-24 v1.1 BeadChip(Illumina)检测 551,839 个 SNP。为了富集可能重要的 SNP,我们最初将 13 例非幸存者与 13 例匹配幸存者进行比较,这些幸存者通过算法匹配损伤严重程度评分(ISS)、年龄和性别比例。这一初始富集产生了 126 个 SNP;进一步与其余 371 例幸存者的单倍型进行比较,最终确定了 7 个 SNP,这些 SNP 可将幸存者与非幸存者区分开来。此外,具有与非幸存者相同的 7 个 SNP 的严重受伤幸存者与没有这些 SNP 的类似受伤幸存者的炎症反应明显不同,并且基于计算模型,特别显示出 Th17 细胞表型改变的证据。这些研究表明,遗传多态性、损伤严重程度和初始炎症反应之间的相互作用会影响创伤结局。