2013
DOI: 10.1016/j.jcrc.2012.10.042
|View full text |Cite
|
Sign up to set email alerts
|

Microarray meta-analysis identifies acute lung injury biomarkers in donor lungs that predict development of primary graft failure in recipients

Abstract: dimensional strip of tissue up to a 2-dimensional mapping of the atrium including chosen anatomical details. Results: The simulations allowed reconstruction of the phase response of the atrium to a brief vagal stimulation. We will present examples of the variance of the interspike intervals as a function of the type of the external modulation. We also discuss the shift of the location of the pacemaker within the sinoatrial node in response to vagal nerve stimulation. Conclusions: The introduction of a simple L… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2015
2015
2015
2015

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 19 publications
0
2
0
Order By: Relevance
“…The recognition that GST genes are consistently altered in various animal models of lung injury and are among the top genes that accurately predict development of primary graft failure in lung transplant donors (19) certainly points toward these promising directions. Our pilot genetic data may also highlight a role of specific GST gene polymorphism in the development of perioperative myocardial infarction (20), thus extending the paradigm beyond lung ischemia reperfusion injury.…”
Section: Discussionmentioning
confidence: 99%
“…The recognition that GST genes are consistently altered in various animal models of lung injury and are among the top genes that accurately predict development of primary graft failure in lung transplant donors (19) certainly points toward these promising directions. Our pilot genetic data may also highlight a role of specific GST gene polymorphism in the development of perioperative myocardial infarction (20), thus extending the paradigm beyond lung ischemia reperfusion injury.…”
Section: Discussionmentioning
confidence: 99%
“…Using a more stringent a priori selection of patients with poor vs. good outcomes, Keshavjee's group identified four significantly up-regulated genes in the PGD samples, which were tested in a subsequent validation cohort (61). Hu and colleagues has constructed a "meta-analysis" of genetic injury patterns from single and double hit animal models of ALI and applied these genetic markers to microarray data from donor lungs (63). This enabled accurate prediction of later PGF development following transplantation.…”
Section: E Critical Evaluation and Future Directionsmentioning
confidence: 99%