Sevoflurane-medicated the pathway of chemokine receptors bind chemokines in patients undergoing CABG

Sevoflurane-medicated the pathway of chemokine receptors bind chemokines in patients undergoing CABG AbstractBackgroundWe aim to identify sevoflurane-induced modules and pathways in patients following coronary artery bypass graft (CABG) surgery, and to further elucidate the molecular mechanisms of the cardioprotective effects of sevoflurane.MethodsDifferential co-expression network (DCN) was constructed. Candidate modules were identified via three steps: selection of seed genes, search of modules using snowball sampling, and refinement of modules. Afterwards, the significance of the candidate modules was assessed. Ultimately, pathway analyses for genes in differential modules were implemented to illuminate the biological processes.ResultsOverall, 122 genes were identified to serve as seed genes. From every seed gene, we extracted 122 modules and the mean node size in a module was 3. By setting the classification accuracy cutoff at 0.9 and the number of nodes in a module at 5, 7 candidate modules were identified, including module 80, 82, 82, 84, 85, 86 and 89. Based on the random permutation test, we found that these 7 candidate modules were all differential ones. Moreover, pathway analysis showed that genes in the differential modules 80, 82, and 85 were all enriched in the pathway of chemokine receptors bind chemokines.ConclusionSevoflurane might exert cardioprotective functions in patients following CABG, partially through regulating the pathway of chemokine receptors bind chemokines. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Open Life Sciences de Gruyter

Sevoflurane-medicated the pathway of chemokine receptors bind chemokines in patients undergoing CABG

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Publisher
de Gruyter
Copyright
© 2017 Bing Kong et al.
ISSN
2391-5412
eISSN
2391-5412
D.O.I.
10.1515/biol-2017-0052
Publisher site
See Article on Publisher Site

Abstract

AbstractBackgroundWe aim to identify sevoflurane-induced modules and pathways in patients following coronary artery bypass graft (CABG) surgery, and to further elucidate the molecular mechanisms of the cardioprotective effects of sevoflurane.MethodsDifferential co-expression network (DCN) was constructed. Candidate modules were identified via three steps: selection of seed genes, search of modules using snowball sampling, and refinement of modules. Afterwards, the significance of the candidate modules was assessed. Ultimately, pathway analyses for genes in differential modules were implemented to illuminate the biological processes.ResultsOverall, 122 genes were identified to serve as seed genes. From every seed gene, we extracted 122 modules and the mean node size in a module was 3. By setting the classification accuracy cutoff at 0.9 and the number of nodes in a module at 5, 7 candidate modules were identified, including module 80, 82, 82, 84, 85, 86 and 89. Based on the random permutation test, we found that these 7 candidate modules were all differential ones. Moreover, pathway analysis showed that genes in the differential modules 80, 82, and 85 were all enriched in the pathway of chemokine receptors bind chemokines.ConclusionSevoflurane might exert cardioprotective functions in patients following CABG, partially through regulating the pathway of chemokine receptors bind chemokines.

Journal

Open Life Sciencesde Gruyter

Published: Dec 29, 2017

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