Molecularly defined extraintestinal pathogenic Escherichia coli status predicts virulence in a murine sepsis model better than does virotype, individual virulence genes, or clonal subset among E. coli ST131 isolates
Molecularly defined extraintestinal pathogenic Escherichia coli status predicts virulence in a murine sepsis model better than does virotype, individual virulence genes, or clonal subset among E. coli ST131 isolates
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DOI：
10.1080/21505594.2020.1747799
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发表时间：
2020-01-01
期刊：
影响因子：
5.2
通讯作者：
Johnson, James R.
中科院分区：
文献类型：
--
作者：
Merino, Irene;Porter, Stephen B.;Johnson, James R.
背景：大肠杆菌 ST131（主要是其 H30 分支）是肠外大肠杆菌感染的主要原因，但其毒力的相关性尚不清楚。材料和方法：我们在小鼠脓毒症模型中测试了 84 个 ST131 分离株，这些分离株因原产国（西班牙与美国）、克隆子集、耐药标记和毒力基因 (VG) 的不同而不同。毒力结果，包括疾病严重程度评分 (ISS) 和“杀手”状态（>80% 小鼠致死率），与克隆子集、个体和组合 VG、分子定义的肠外和尿路致病性大肠杆菌 (ExPEC、UPEC) 状态和原产国进行统计比较。结果：不同菌株的毒力差异很大。中位 ISS 和“杀手”百分比（变量存在与不存在时的结果）的单变量相关性包括 pap（ISS，4.4 vs. 3.8；“杀手”，71% vs. 46%）、kpsMII（4.1 vs. 2.3；59% vs. 25%）、K2/K100（4.4 vs. 3.2；77% vs. 41%）、 ExPEC（4.2 与 2.2；62% 与 2.2） 17%）、西班牙血统（4.3 vs. 3.1；65% vs. 36%）和 H30R1 子集（2.5 vs. 4.1；35% vs. 59%）。通过多变量调整，ExPEC 状态是唯一一致显着的预测变量。结论：在 ST131 中，实验毒力最强的预测因子是分子定义的 ExPEC 状态。不同来源国家的小鼠败血症模型中的克隆亚群似乎表现不同。
Background: Escherichia coli ST131, mainly its H30 clade, is the leading cause of extraintestinal E. coli infections but its correlates of virulence are undefined. Materials and methods: We tested in a murine sepsis model 84 ST131 isolates that differed by country of origin (Spain vs. USA), clonal subset, resistance markers, and virulence genes (VGs). Virulence outcomes, including illness severity score (ISS) and "killer" status (>80% mouse lethality), were compared statistically with clonal subset, individual and combined VGs, molecularly defined extraintestinal and uropathogenic E. coli (ExPEC, UPEC) status, and country of origin. Results: Virulence varied widely by strain. Univariable correlates of median ISS and percent "killer" (outcomes if variable present vs. absent) included pap (ISS, 4.4 vs. 3.8; "killer", 71% vs. 46%), kpsMII (4.1 vs. 2.3; 59% vs. 25%), K2/K100 (4.4 vs. 3.2; 77% vs. 41%), ExPEC (4.2 vs. 2.2; 62% vs. 17%), Spanish origin (4.3 vs. 3.1; 65% vs. 36%), and H30R1 subset (2.5 vs. 4.1; 35% vs. 59%). With multivariable adjustment, ExPEC status was the only consistently significantly predictive variable. Conclusion: Within ST131 the strongest predictor of experimental virulence was molecularly defined ExPEC status. Clonal subsets seemed to behave differently in the murine sepsis model by country of origin.