首页> 外文期刊>The journal of clinical investigation >Discriminatory plasma biomarkers predict specific clinical phenotypes of necrotizing soft-tissue infections
【24h】

Discriminatory plasma biomarkers predict specific clinical phenotypes of necrotizing soft-tissue infections

机译:歧视性血浆生物标志物预测坏死软组织感染的特异性临床表型

获取原文
       

摘要

BACKGROUND Necrotizing soft-tissue infections (NSTIs) are rapidly progressing infections frequently complicated by septic shock and associated with high mortality. Early diagnosis is critical for patient outcome, but challenging due to vague initial symptoms. Here, we identified predictive biomarkers for NSTI clinical phenotypes and outcomes using a prospective multicenter NSTI patient cohort. METHODS Luminex multiplex assays were used to assess 36 soluble factors in plasma from NSTI patients with positive microbiological cultures ( n = 251 and n = 60 in the discovery and validation cohorts, respectively). Control groups for comparative analyses included surgical controls ( n = 20), non-NSTI controls (i.e., suspected NSTI with no necrosis detected upon exploratory surgery, n = 20), and sepsis patients ( n = 24). RESULTS Thrombomodulin was identified as a unique biomarker for detection of NSTI (AUC, 0.95). A distinct profile discriminating mono- (type II) versus polymicrobial (type I) NSTI types was identified based on differential expression of IL-2, IL-10, IL-22, CXCL10, Fas-ligand, and MMP9 (AUC &0.7). While each NSTI type displayed a distinct array of biomarkers predicting septic shock, granulocyte CSF (G-CSF), S100A8, and IL-6 were shared by both types (AUC &0.78). Finally, differential connectivity analysis revealed distinctive networks associated with specific clinical phenotypes. CONCLUSIONS This study identifies predictive biomarkers for NSTI clinical phenotypes of potential value for diagnostic, prognostic, and therapeutic approaches in NSTIs. TRIAL REGISTRATION ClinicalTrials.gov NCT01790698. FUNDING Center for Innovative Medicine (CIMED); Region Stockholm; Swedish Research Council; European Union; Vinnova; Innovation Fund Denmark; Research Council of Norway; Netherlands Organisation for Health Research and Development; DLR Federal Ministry of Education and Research; and Swedish Children’s Cancer Foundation.
机译:背景下坏死软组织感染(NSTIS)正在迅速进展,经常被脓肠梗缓冲和高死亡率相关的感染。早期诊断对于患者结果至关重要,但由于模糊的初始症状,挑战。在这里,我们使用前瞻性多中心NSTI患者队列确定了用于NSTI临床表型和结果的预测生物标志物。方法采用百叶油多重测定分别从NSTI患者评估来自阳性微生物培养的血浆中的36种可溶性因子(N = 251和N = 60,分别在发现和验证队列中)。对比较分析的对照组包括外科手术对照(N = 20),非NSTI对照(即,涉嫌NSTI,没有对探索性手术时未检测到的坏死,N = 20)和败血症患者(n = 24)。结果鉴定血栓调节蛋白作为检测NSTI(AUC,0.95)的独特生物标志物。基于IL-2,IL-10,IL-22,CXCL10,FAS-LigAnd和MMP9(AUC& GT的MMP9(AUC& GT ; 0.7)。虽然每个NSTI类型显示了预测化脓性休克,粒细胞CSF(G-CSF),S100A8和IL-6的不同阵列的阵列,两种类型(AUC& GT; 0.78)共用。最后,差分连接分析揭示了与特定临床表型相关的独特网络。结论本研究鉴定了NSTI诊断,预后和治疗方法的NSTI临床表型的预测生物标志物。试验登记ClinicalTrials.gov NCT01790698。创新医学资金(CIMED);地区斯德哥尔摩;瑞典研究理事会;欧洲联盟; vinnova;创新基金丹麦;挪威研究委员会;荷兰卫生研发组织; DLR联邦教育和研究部;瑞典儿童癌症基础。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号