Prolonged Transcriptional Consequences in Survivors of Sepsis.
Prolonged Transcriptional Consequences in Survivors of Sepsis.
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DOI：
10.3390/ijms22115422
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发表时间：
2021-05-21
影响因子：
5.6
通讯作者：
Sullivan KE
中科院分区：
文献类型：
--
作者：
Laudanski K;Soh J;DiMeglio M;Sullivan KE
败血症的幸存者经常遭受继发于免疫系统重编程的长期重症后综合征。目前尚不清楚这一过程是否是静态的和普遍的，因为研究败血症长期结局的方法学困难。本研究的目的是纵向评估黑腹果蝇在脓毒症后的转录谱，为脓毒症后免疫抑制中发挥作用的靶点提供初步数据。用E.在第7、14和21天对存活者实施安乐死。对照组果蝇接受假应激。使用RNA-seq进行基因分析，并计算潜在的miRNA因子。谱分析在脓毒症存活者与假手术对照中在7天时鉴定了55个独特基因，在14天时鉴定了61个独特基因，在21天时鉴定了78个基因。每个脓毒症后时间点都有一个独特的转录模式，在第7天与氧化应激相关，在第14天与神经元信号转导相关，在第21天与代谢相关。几种潜在的miRNA模式被计算为可能影响脓毒症幸存者中表达的几种基因。我们的研究表明，脓毒症后转录组谱的变化是动态的，并延长到果蝇的自然寿命。
Survivors of sepsis often suffer from prolonged post-critical illness syndrome secondary to the immune system’s reprogramming. It is unclear if this process is static and pervasive due to methodological difficulties studying long-term outcomes of sepsis. The purpose of this study is to evaluate transcriptional profiles longitudinally in Drosophila melanogaster in the aftermath of sepsis to provide preliminary data for targets playing a role in post-sepsis immunostasis. Adult Drosophila melanogaster were infected with E. coli, and survivors were euthanized at 7, 14, and 21 days. Control flies were subjected to sham stress. Gene profiling was done with RNA-seq, and potential miRNA factors were computed. Profiling identified 55 unique genes at seven days, 61 unique genes at 14 days, and 78 genes at 21 days in sepsis survivors vs. sham control. Each post-sepsis timepoint had a distinctive transcriptional pattern with a signature related to oxidative stress at seven days, neuronal signal transduction at 14 days, and metabolism at 21 days. Several potential miRNA patterns were computed as potentially affecting several of the genes expressed in sepsis survivors. Our study demonstrated that post-sepsis changes in the transcriptome profile are dynamic and extend well into the Drosophila melanogaster natural life span.
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影响因子：
9
作者：
Brakenridge, Scott C.;Efron, Philip A.;Moore, Frederick A.
通讯作者：
Moore, Frederick A.
影响因子：
3.4
作者：
Irving, P;Ubeda, JM;Meister, M
通讯作者：
Meister, M
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影响因子：
38.9
作者：
Coopersmith CM;De Backer D;Deutschman CS;Ferrer R;Lat I;Machado FR;Martin GS;Martin-Loeches I;Nunnally ME;Antonelli M;Evans LE;Hellman J;Jog S;Kesecioglu J;Levy MM;Rhodes A
通讯作者：
Rhodes A
影响因子：
5.5
作者：
Jridi I;Canté-Barrett K;Pike-Overzet K;Staal FJT
通讯作者：
Staal FJT
影响因子：
4.7
作者：
Cho, Se-Young;Kwon, Yong -Kook;Hwang, Geum-Sook
通讯作者：
Hwang, Geum-Sook