8.2 Transplantation 2015
DOI: 10.1183/13993003.congress-2015.pa1792
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Blood mRNA and miRNA transcriptome to predict chronic lung allograft dysfunction

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“…The diversity of these insults as well as the donor and recipient genetic burden assign each patient a unique clinical history. Hence, large-scale gene expression profiling 187,[196][197][198][199] or the powerful systems biology approach, [200][201][202][203] which integrates data sets of different nature, represents promising tools to decipher the complex network of factors involved in the development of CLAD.…”
Section: Discussionmentioning
confidence: 99%
“…The diversity of these insults as well as the donor and recipient genetic burden assign each patient a unique clinical history. Hence, large-scale gene expression profiling 187,[196][197][198][199] or the powerful systems biology approach, [200][201][202][203] which integrates data sets of different nature, represents promising tools to decipher the complex network of factors involved in the development of CLAD.…”
Section: Discussionmentioning
confidence: 99%
“…of CLAD using biomarkers via microarrays or RNA sequencing technology of samples collected from blood or BAL, including gene expression profiling, blood mRNA and miRNA transcriptome (95)(96)(97). For the future, genetic risk profiling of lung transplant recipients might be a promising approach to identifying patients at low risk of developing acute rejection and CLAD, which will probably lead to personalized immunosuppressive treatment with reduction of immunosuppressive treatment or the number of medical appointments, thus improving both health care efficacy, and quality of life (98).…”
mentioning
confidence: 99%