Integrative model of leukocyte genomics and organ dysfunction in heart failure patients requiring mechanical circulatory support: A prospective observational study

Nicholas Wisniewski, Galyna Bondar, Christoph Rau, Jay Chittoor, Eleanor Chang, Azadeh Esmaeili, Martin Cadeiras, Mario Deng

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: The implantation of mechanical circulatory support devices in heart failure patients is associated with a systemic inflammatory response, potentially leading to death from multiple organ dysfunction syndrome. Previous studies point to the involvement of many mechanisms, but an integrative hypothesis does not yet exist. Using time-dependent whole-genome mRNA expression in circulating leukocytes, we constructed a systems-model to improve mechanistic understanding and prediction of adverse outcomes. Methods: We sampled peripheral blood mononuclear cells from 22 consecutive patients undergoing mechanical circulatory support device (MCS) surgery, at 5 timepoints: day -1 preoperative, and postoperative days 1, 3, 5, and 8. Clinical phenotyping was performed using 12 clinical parameters, 2 organ dysfunction scoring systems, and survival outcomes. We constructed a strictly phenotype-driven time-dependent non-supervised systems-representation using weighted gene co-expression network analysis, and annotated eigengenes using gene ontology, pathway, and transcription factor binding site enrichment analyses. Genes and eigengenes were mapped to the clinical phenotype using a linear mixed-effect model, with Cox models also fit at each timepoint to survival outcomes. Results: We inferred a 19-module network, in which most module eigengenes correlated with at least one aspect of the clinical phenotype. We observed a response of advanced heart failure patients to surgery orchestrated into stages: first, activation of the innate immune response, followed by anti-inflammation, and finally reparative processes such as mitosis, coagulation, and apoptosis. Eigengenes related to red blood cell production and extracellular matrix degradation became predictors of survival late in the timecourse corresponding to multiorgan dysfunction and disseminated intravascular coagulation. Conclusions: Our model provides an integrative representation of leukocyte biology during the systemic inflammatory response following MCS device implantation. It demonstrates consistency with previous hypotheses, identifying a number of known mechanisms. At the same time, it suggests novel hypotheses about time-specific targets.

Original languageEnglish (US)
Article number52
JournalBMC Medical Genomics
Volume10
Issue number1
DOIs
StatePublished - Aug 29 2017
Externally publishedYes

Fingerprint

Genomics
Observational Studies
Leukocytes
Heart Failure
Prospective Studies
Equipment and Supplies
Phenotype
Survival
Gene Ontology
Multiple Organ Failure
Disseminated Intravascular Coagulation
Proportional Hazards Models
Mitosis
Innate Immunity
Extracellular Matrix
Blood Cells
Transcription Factors
Erythrocytes
Binding Sites
Genome

Keywords

  • Heart failure
  • Integrative model
  • Leukocyte genomics
  • Mechanical circulatory support
  • Organ dysfunction

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

Integrative model of leukocyte genomics and organ dysfunction in heart failure patients requiring mechanical circulatory support : A prospective observational study. / Wisniewski, Nicholas; Bondar, Galyna; Rau, Christoph; Chittoor, Jay; Chang, Eleanor; Esmaeili, Azadeh; Cadeiras, Martin; Deng, Mario.

In: BMC Medical Genomics, Vol. 10, No. 1, 52, 29.08.2017.

Research output: Contribution to journalArticle

Wisniewski, Nicholas ; Bondar, Galyna ; Rau, Christoph ; Chittoor, Jay ; Chang, Eleanor ; Esmaeili, Azadeh ; Cadeiras, Martin ; Deng, Mario. / Integrative model of leukocyte genomics and organ dysfunction in heart failure patients requiring mechanical circulatory support : A prospective observational study. In: BMC Medical Genomics. 2017 ; Vol. 10, No. 1.
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T2 - A prospective observational study

AU - Wisniewski, Nicholas

AU - Bondar, Galyna

AU - Rau, Christoph

AU - Chittoor, Jay

AU - Chang, Eleanor

AU - Esmaeili, Azadeh

AU - Cadeiras, Martin

AU - Deng, Mario

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AB - Background: The implantation of mechanical circulatory support devices in heart failure patients is associated with a systemic inflammatory response, potentially leading to death from multiple organ dysfunction syndrome. Previous studies point to the involvement of many mechanisms, but an integrative hypothesis does not yet exist. Using time-dependent whole-genome mRNA expression in circulating leukocytes, we constructed a systems-model to improve mechanistic understanding and prediction of adverse outcomes. Methods: We sampled peripheral blood mononuclear cells from 22 consecutive patients undergoing mechanical circulatory support device (MCS) surgery, at 5 timepoints: day -1 preoperative, and postoperative days 1, 3, 5, and 8. Clinical phenotyping was performed using 12 clinical parameters, 2 organ dysfunction scoring systems, and survival outcomes. We constructed a strictly phenotype-driven time-dependent non-supervised systems-representation using weighted gene co-expression network analysis, and annotated eigengenes using gene ontology, pathway, and transcription factor binding site enrichment analyses. Genes and eigengenes were mapped to the clinical phenotype using a linear mixed-effect model, with Cox models also fit at each timepoint to survival outcomes. Results: We inferred a 19-module network, in which most module eigengenes correlated with at least one aspect of the clinical phenotype. We observed a response of advanced heart failure patients to surgery orchestrated into stages: first, activation of the innate immune response, followed by anti-inflammation, and finally reparative processes such as mitosis, coagulation, and apoptosis. Eigengenes related to red blood cell production and extracellular matrix degradation became predictors of survival late in the timecourse corresponding to multiorgan dysfunction and disseminated intravascular coagulation. Conclusions: Our model provides an integrative representation of leukocyte biology during the systemic inflammatory response following MCS device implantation. It demonstrates consistency with previous hypotheses, identifying a number of known mechanisms. At the same time, it suggests novel hypotheses about time-specific targets.

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