Variation of perioperative plasma mitochondrial DNA correlate with peak inflammatory cytokines caused by cardiac surgery with cardiopulmonary bypass.
Variation of perioperative plasma mitochondrial DNA correlate with peak inflammatory cytokines caused by cardiac surgery with cardiopulmonary bypass.
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围手术期血浆线粒体 DNA 的变化与体外循环心脏手术引起的炎症细胞因子峰值相关
DOI:
10.1186/s13019-015-0298-6
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发表时间:
2015-06-24
影响因子:
1.6
通讯作者:
Meng W
中科院分区:
文献类型:
--
作者:
Qin C;Liu R;Gu J;Li Y;Qian H;Shi Y;Meng W
Cardiac surgery with cardiopulmonary bypass (CPB) may cause inflammatory responses, which can deteriorate the outcomes. Inflammatory cytokines, such as tumor necrosis factor (TNF)-α, interleukin (IL)-6,–8 and -10, can act as both the effector and the predictor for post-operative inflammatory responses. Plasma mitochondrial DNA (mtDNA) was found as a pro-inflammatory agent recently, which was released when cells were insulted. In the present study, we included 38 patients undergoing coronary artery bypass graft (CABG) to analyze their perioperative plasma mtDNA and levels of inflammatory cytokines. Blood samples were collected before aortic cross-clamping (T1), at the end of CPB (T2), 6 h post-CPB (T3), 12 h post-CPB (T4), and 24 h post-CPB (T5). Rt-PCR and specific ELISA kits were used to quantify the plasma mtDNA and inflammatory cytokines, respectively. Bivariate correlations analysis was used to check the correlations between plasma mtDNA and inflammatory cytokines respectively. Results shown that plasma mtDNA elevated significantly at T2 and peaked at T4. Furthermore, plasma TNF-α, IL-6 and IL-8 levels significantly increased at T2 and peaked at T3 while IL-10 elevated and peaked at T2. Bivariate correlations analysis showed that the peak plasma mtDNA were positively correlated with the peak TNF-α (r = 0.677, P < 0.001), the peak IL-6 (r = 0.706, P < 0.001), the peak IL-8 (r = 0.584, P < 0.001) and the peak IL-10 (r = 0.565, P < 0.001). We found that plasma mtDNA might play a key role in CPB-induced post-operative inflammatory responses.
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影响因子:
64.8
作者:
通讯作者:
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影响因子:
2.7
作者:
Zhang Z;Wu Y;Zhao Y;Xiao X;Liu J;Zhou X
通讯作者:
Zhou X
影响因子:
3.7
作者:
Sun S;Sursal T;Adibnia Y;Zhao C;Zheng Y;Li H;Otterbein LE;Hauser CJ;Itagaki K
通讯作者:
Itagaki K
影响因子:
2.7
作者:
Drapalova, Jana;Kopecky, Petr;Haluzik, Martin
通讯作者:
Haluzik, Martin
影响因子:
3.4
作者:
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通讯作者:
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