Serological cytokine profiles of cardiac rejection and lung infection after heart transplantation in rats

Chen, Hao; Yang, Juhua; Zhang, Shengchao; Qin, Xuan; Jin, Wei; Sun, Lihua; Li, Feng; Cheng, Yunfeng

doi:10.1186/s13019-019-0839-5

Cited by 3 publications

(3 citation statements)

References 33 publications

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“…The G‐CSF is associated with decreased incidence of acute rejection 31 . Interestingly, IFN‐a2, IL‐2, IL‐7, and IL‐9 have been associated to cardiovascular adverse effects and allograft rejection 32–35 . Following the ISHLT classification, 1R and 2R had elevated levels of cytokines, with a similar number of significant cytokines detected.…”

Section: Discussionmentioning

confidence: 99%

“…31 Interestingly, IFN-a2, IL-2, IL-7, and IL-9 have been associated to cardiovascular adverse effects and allograft rejection. [32][33][34][35] Following the ISHLT classification, 1R and 2R had elevated levels of cytokines, with a similar number of significant cytokines detected. BNP analysis revealed significantly elevated BNP levels related to UC2.…”

Section: Cytokine and Bnp Levels In The Context Of The Unsupervised M...mentioning

confidence: 94%

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Unsupervised mRNA‐seq classification of heart transplant endomyocardial biopsies

Romero

Tabak

Fishbein

et al. 2023

Clinical Transplantation

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Background: Endomyocardial biopsy (EMB) is currently considered the gold standard for diagnosing cardiac allograft rejection. However, significant limitations related to histological interpretation variability are well-recognized. We sought to develop a methodology to evaluate EMB solely based on gene expression, without relying on histology interpretation.Methods: Sixty-four EMBs were obtained from 47 post-heart transplant recipients, who were evaluated for allograft rejection. EMBs were subjected to mRNA sequencing, in which an unsupervised classification algorithm was used to identify the molecular signatures that best classified the EMBs. Cytokine and natriuretic peptide peripheral blood profiling was also performed. Subsequently, we performed gene network analysis to identify the gene modules and gene ontology to understand their biological relevance. We correlated our findings with the unsupervised and histological classifications.Results: Our algorithm classifies EMBs into three categories based solely on clusters of gene expression: unsupervised classes 1, 2, and 3. Unsupervised and histological classifications were closely related, with stronger gene module-phenotype correlations for the unsupervised classes. Gene ontology enrichment analysis revealed processes impacting on the regulation of cardiac and mitochondrial function, immune response, and tissue injury response. Significant levels of cytokines and natriuretic peptides were detected following the unsupervised classification.

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Section: Discussionmentioning

confidence: 99%

Section: Cytokine and Bnp Levels In The Context Of The Unsupervised M...mentioning

confidence: 94%

Unsupervised mRNA‐seq classification of heart transplant endomyocardial biopsies

Romero

Tabak

Fishbein

et al. 2023

Clinical Transplantation

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“…However, one of the major challenges of modern transplantology still seems to be finding non-invasive, prognostic and predictive biomarkers for recipients selection, monitoring of allograft function, and diagnosis of rejection (Naesens and Anglicheau 2018 ). Several studies have associated increased cytokine production with higher risk of early and late graft rejection and suggested that these proteins may serve as markers for kidney, liver, lung, heart and HSC transplantation (Chen et al 2019 ; Friedman et al 2012 ; Hallsten and Vigneswaran 2019 ; Kawakita and Everly 2016 ; Roedder et al 2011 ; Visentainer et al 2003 ). It is well documented that cytokines modulate the T helper (Th)1 and Th2 balance.…”

Section: Introductionmentioning

confidence: 99%

Osteopontin and Transplantation: Where Are We Now?

Kaleta

2021

Arch. Immunol. Ther. Exp.

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Organ transplantation represents the optimal therapeutic tool for patients with end-stage organ failure. Hematopoietic stem cell transplantation (HSCT) is likewise an effective therapy for a wide range of malignant and non-malignant diseases. Better understanding of transplantation immunology and the use of multi-modal immunosuppression protocols, can decrease the risk of graft failure and graft-versus-host disease (GVHD) after HSCT. Nevertheless, a major challenge of modern transplantology still seems to be finding non-invasive biomarkers for recipients selection, monitoring of allograft function, and diagnosis of rejection. Since proinflammatory cytokine osteopontin (OPN) is closely involved in regulating both adaptive and innate immune responses, as well as the pathogenesis of inflammatory and autoimmune diseases, it is likely to play an important role in organ and HSC transplantation. This review is to summarize recent advances in our knowledge about OPN function in the kidney, heart, liver, lung, and HSC transplantation. Most studies found that elevated OPN is associated with poorer graft function in kidney, heart, liver and lung recipients. Moreover, some reports suggested that this protein can play role in GVHD pathogenesis. However, due to relatively small number of similar studies, as well as some inconclusive results, future investigation in this field is needed to verify if OPN can serve as a biomarker of organ and HSC transplantation. The knowledge about such markers will promote our understanding of the mechanisms underlying graft dysfunction and posttransplant mortality. In addition, such knowledge may be helpful in the development of new treatment strategies and identification of recipients with increased risk of allograft failure.

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