Design, cohort profile and comparison of the KTD-Innov study: a prospective multidimensional biomarker validation study in kidney allograft rejection
Author:
Funder
Agence Nationale de la Recherche
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10654-024-01112-w.pdf
Reference56 articles.
1. Muduma G, Odeyemi I, Smith-Palmer J, Pollock RF. Review of the clinical and economic burden of antibody-mediated rejection in renal transplant recipients. Adv Ther. 2016;33(3):345–56. https://doi.org/10.1007/s12325-016-0292-y.
2. Loupy A, Mengel M, Haas M. Thirty years of the international banff classification for allograft pathology: the past, present, and future of kidney transplant diagnostics. Kidney Int. 2022;101(4):678–91. https://doi.org/10.1016/j.kint.2021.11.028.
3. Danger R, Le Berre L, Cadoux M, et al. Subclinical rejection-free diagnostic after kidney transplantation using blood gene expression. Kidney Int. 2023;103(6):1167–79. https://doi.org/10.1016/j.kint.2023.03.019.
4. Lubetzky ML, Salinas T, Schwartz JE, Suthanthiran M. Urinary cell mRNA profiles predictive of human kidney allograft status. Clin J Am Soc Nephrol. 2021;16(10):1565–77. https://doi.org/10.2215/CJN.14010820.
5. Rabant M, Amrouche L, Lebreton X, et al. Urinary C-X-C motif chemokine 10 independently improves the noninvasive diagnosis of antibody–mediated kidney allograft rejection. J Am Soc Nephrol. 2015;26(11):2840–51. https://doi.org/10.1681/ASN.2014080797.
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