Literature DB >> 30551846

Can immune biomarkers predict infections in solid organ transplant recipients? A review of current evidence.

Claire Dendle1, William R Mulley2, Stephen Holdsworth3.   

Abstract

Despite improvements in graft survival, solid organ transplantation is still associated with considerable infection induced morbidity and mortality. If we were able to show that serious infection risk was associated with excessive suppression of immune capacity, we would be justified in "personalizing" the extent of immunosuppression by carefully monitored reduction to see if we can improve immune compromize without increasing the risk of rejection. Reliable biomarkers are needed to identify this patients at an increased risk of infection. This review focuses on the currently available evidence in solid organ transplant recipients for immune non-pathogen specific biomarkers to predict severe infections with the susceptibility to particular pathogens according to the component of the immune system that is suppressed. This review is categorized into immune biomarkers representative of the humoral, cellular, phagocytic, natural killer cell and complement system. Biomarkers humoral and cellular systems of the that have demonstrated an association with infections include immunoglobulins, lymphocyte number, lymphocyte subsets, intracellular concentrations of adenosine triphosphate in stimulated CD4+ cells and soluble CD30. Biomarkers of the innate immune system that have demonstrated an association with infections include natural killer cell numbers, complement and mannose binding lectin. Emerging evidence shows that quantification of viral nucleic acid (such as Epstein Barr Virus) can act as a biomarker to predict all-cause infections. Studies that show the most promise are those in which several immune biomarkers are assessed in combination. Ongoing research is required to validate non-pathogen specific immune biomarkers in multi-centre studies using standardized study designs.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Immune function; Kidney transplantation; Lymphocytes

Mesh:

Substances:

Year:  2018        PMID: 30551846     DOI: 10.1016/j.trre.2018.10.001

Source DB:  PubMed          Journal:  Transplant Rev (Orlando)        ISSN: 0955-470X            Impact factor:   3.943


  6 in total

Review 1.  Biomarker-Based Assessment for Infectious Risk Before and After Heart Transplantation.

Authors:  Athena L Huang; Nicholas Hendren; Spencer Carter; Christian Larsen; Sonia Garg; Ricardo La Hoz; Maryjane Farr
Journal:  Curr Heart Fail Rep       Date:  2022-05-21

2.  The Expansion of Myeloid-Derived Suppressor Cells Correlates With the Severity of Pneumonia in Kidney Transplant Patients.

Authors:  Bo Peng; Yulin Luo; Quan Zhuang; Junhui Li; Pengpeng Zhang; Min Yang; Yu Zhang; Gangcheng Kong; Ke Cheng; Yingzi Ming
Journal:  Front Med (Lausanne)       Date:  2022-02-15

3.  Integrated Immunologic Monitoring in Solid Organ Transplantation: The Road Toward Torque Teno Virus-guided Immunosuppression.

Authors:  Peter Jaksch; Irene Görzer; Elisabeth Puchhammer-Stöckl; Gregor Bond
Journal:  Transplantation       Date:  2022-05-05       Impact factor: 5.385

4.  Attenuated early inflammatory response in solid organ recipients with COVID-19.

Authors:  Florian Bösch; Nikolaus Börner; Stephan Kemmner; Christopher Lampert; Sven Jacob; Dionysios Koliogiannis; Manfred Stangl; Sebastian Michel; Nikolaus Kneidinger; Christian Schneider; Michael Fischereder; Michael Irlbeck; Gerald Denk; Jens Werner; Martin K Angele; Markus O Guba
Journal:  Clin Transplant       Date:  2020-07-24       Impact factor: 3.456

5.  Co-infections of human herpesviruses (CMV, HHV-6, HHV-7 and EBV) in non-transplant acute leukemia patients undergoing chemotherapy.

Authors:  Imene Handous; Bechir Achour; Manel Marzouk; Sana Rouis; Olfa Hazgui; Ines Brini; Abderrahim Khelif; Naila Hannachi; Jalel Boukadida
Journal:  Virol J       Date:  2020-03-17       Impact factor: 4.099

6.  The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models.

Authors:  Bo Peng; Hang Gong; Han Tian; Quan Zhuang; Junhui Li; Ke Cheng; Yingzi Ming
Journal:  J Transl Med       Date:  2020-09-29       Impact factor: 5.531

  6 in total

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