Skip to main content

Advertisement

SpringerLink
Log in

Transplantation

Biomarkers in transplantation—the devil is in the detail

  • News & Views
  • Published:

From Nature Reviews Nephrology

View current issue Sign up to alerts

Numerous studies have suggested the utility of non-invasive molecular biomarkers to monitor recipients of kidney transplants. A new correlation-based algorithm using stepwise analysis of gene expression data from peripheral blood samples, claiming to detect subclinical, and predict clinical acute allograft rejection, requires corroboration before testing in prospective validation studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Nankivell, B. J. & Chapman, J. R. The significance of subclinical rejection and the value of protocol biopsies. Am. J. Transplant. 6, 2006–2012 (2009).

    Article  Google Scholar 

  2. El Ters, M. et al. Kidney allograft survival after acute rejection, the value of follow-up biopsies. Am. J. Transplant. 13, 2334–2341 (2013).

    Article  CAS  PubMed  Google Scholar 

  3. Heilman, R. L. et al. Impact of subclinical inflammation on the development of interstitial fibrosis and tubular atrophy in kidney transplant recipients. Am. J. Transplant. 10, 563–570 (2010).

    Article  CAS  PubMed  Google Scholar 

  4. Lo, D. J., Kaplan, B. & Kirk, A. D. Biomarkers for kidney transplant rejection. Nat. Rev. Nephrol. 10, 215–225 (2014).

    Article  CAS  PubMed  Google Scholar 

  5. Suthanthiran, M. et al. Urinary-cell mRNA profile and acute cellular rejection in kidney allografts. N. Engl. J. Med. 369, 20–31 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kurian, S. M. et al. Molecular classifiers for acute kidney transplant rejection in peripheral blood by whole genome gene expression profiling. Am. J. Transplant. 14, 1164–1172 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Roedder, S. et al. The kSORT assay to detect renal transplant patients at high risk for acute rejection: results of the multicenter AART study. PLoS Med. 11, e1001759 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Li, L. et al. A peripheral blood diagnostic test for acute rejection in renal transplantation. Am. J. Transplant. 12, 2710–2718 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kaplan, B. et al. Assessing 30-day hospital readmission after renal transplantation: a complex task. Am. J. Transplant. 12, 3171–3172 (2012).

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Division of Organ Transplantation, Feinberg School of Medicine, Northwestern University, 676 North Saint Clair, Suite 1900, Chicago, 60611, IL, USA

    Michael Abecassis

  2. Department of Nephrology and Hypertension, University of Kansas Medical Centre, 3901 Rainbow Boulevard, Kansas City, 66160, KS, USA

    Bruce Kaplan

Authors
  1. Michael Abecassis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bruce Kaplan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michael Abecassis.

Ethics declarations

Competing interests

M.A. is co-founder and Chief Clinical Advisor of Transplant Genomics Incorporated. B.K. declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abecassis, M., Kaplan, B. Biomarkers in transplantation—the devil is in the detail. Nat Rev Nephrol 11, 204–205 (2015). https://doi.org/10.1038/nrneph.2015.2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrneph.2015.2

  • Springer Nature Limited

This article is cited by

Search

Navigation