In the modern era of kidney transplantation, post-transplant diabetes (PTDM) is a major cause of morbidity and mortality for kidney transplant recipients. Studies estimate that 10%–40% of kidney transplant recipients will be diagnosed with PTDM, making it one of the most common complications after transplant, and is associated with increased risk of cardiovascular events and mortality (1–3).
Patients who receive a kidney transplant often have risk factors for developing diabetes common to the general population, including obesity, older age, and family history. However, they also have unique risk factors, including immunosuppressive medications with known adverse metabolic risks, and post-transplant weight gain with subsequent exacerbation of underlying metabolic syndrome (4). Studies have demonstrated that additional risk factors for PTDM include degree of HLA match, cytomegalovirus infection, episodes of rejection, and hypomagnesemia. Although instructive, these risk factors are often challenging to predict pre-transplant and may be difficult to modify.
In this issue of Kidney360, Vinson et al. publish their study examining the association of pre-transplant fasting C-peptide levels with the development of PTDM at 1 year post transplant (5). In their cohort of 132 adult patients without diabetes who underwent a kidney transplant between 2016 and 2021, 25 (19%) patients developed PTDM in their first year after transplant. The authors dichotomized the C-peptide status around the median in their population, at 3000 pmol/L, with patients in either the low or high C-peptide groups. Interestingly, 24 of the 25 patients who developed PTDM were in the high C-peptide group. After multivariable analysis, patients with a pretransplant C-peptide >3000 pmol/L had a greatly increased risk for PTDM at 1 year, with an odds ratio of 18.9 (95% confidence interval, 2.06 to 174.2). This association remained highly significant after adjustment for body mass index (BMI) at the time of transplant, with an odds ratio of 15 (95% confidence interval, 2.06 to 174.2). When the authors treated C-peptide as a continuous variable, each 1000 pmol/L increase in pretransplant C-peptide was associated with a 1.5-fold increased risk for PTDM.
Further analyses showed that at 1 year post transplant, hemoglobin A1c (HbA1c) was higher in the high C-peptide group. However, there was no association between pre-transplant C-peptide level and hyperglycemia in the first 2 weeks post transplant nor in the nadir magnesium level.
This study provides evidence that pre-transplant fasting C-peptide may be valuable in identifying kidney transplant recipients who are at high risk of developing PTDM. A similar study in patients with allogeneic stem cell transplant (SCT) also demonstrated that elevated C-peptide levels pre-transplant were associated a higher risk of PTDM at 100 days post SCT (6). Compared with using the currently recommended 2-hour oral glucose tolerance test as a measure of a potential recipient’s glucose metabolism (7), C-peptide is more easily obtained, relatively inexpensive, and can be obtained at the time of transplant or even be monitored serially pre-transplant. Although pre-transplant HbA1c may also be more easily assessed in patients, concomitant anemia and use of erythropoietin-stimulating agents in patients with kidney disease often makes it difficult to use HbA1c as an accurate measurement of glycemic status (8).
The goal of identifying patients at risk for PTDM is to provide early intervention for modifiable risk factors in order reduce the incidence of PTDM and its complications. Using C-peptide as a marker of pretransplant insulin resistance may allow more targeted interventions to the highest-risk patients.
Pretransplant weight is a known risk factor for PTDM, and weight loss has been shown to reduce this risk (9), with some patients requiring bariatric surgery to improve their candidacy for transplant. Although bariatric surgery clearly leads to weight loss, it is not without risk, and thus patients who will benefit the most from this intervention need to be identified. Vinson et al. demonstrated that in their subset of patients with a BMI of 20–35 kg/m2, C-peptide was the only factor that was independently associated with PTDM, making C-peptide attractive as a potential tool to stratify patients with higher BMI who may benefit from targeted weight loss, although further studies demonstrating this would be needed.
Post-transplant immunosuppression also remains a major modifiable risk factor in the development of PTDM. Multiple studies have shown that tacrolimus has an increased diabetogenic risk profile compared with cyclosporine, and that minimizing or avoiding calcineurin inhibitors can reduce the odds of developing PTDM (10,11). However, there is an increased risk of acute rejection in patients maintained on cyclosporine or belatacept instead of tacrolimus. The use of C-peptide to risk stratify patients could allow discussion of the risks and benefits of immunosuppression regimens with patients who have a high risk of PTDM.
Although the use of C-peptide is promising, there are certain limitations to this study. The C-peptide levels of patients were not performed at the same time of day, and as the authors point out, C-peptide varies throughout the day, with highest C-peptide levels in the morning (12). Although the authors did repeat their analysis with C-peptide levels corrected for the potential that all of the elevated levels were obtained in the morning, it did not alter their conclusions. Additionally, C-peptide is cleared by hemodialysis and partially renally cleared, and not all patients had C-peptide obtained pre-hemodialysis, nor was the residual renal function of patients assessed. Finally, this was a small study, with a predominantly White population. Thus, the generalizability of these results in other populations should be assessed.
In summary, in their study of adult kidney transplant recipients without diabetes, Vinson et al. showed pre-transplant C-peptide levels >3000 pmol/L were highly associated with an increased risk of PTDM. Given the increased risk of cardiovascular disease and mortality in kidney transplant recipients with PTDM, early identification of patients at high risk is of paramount importance so that targeted interventions may be employed. Further studies will help clarify the role of C-peptide as a predictor of developing PTDM, which has the potential to be a powerful tool in the evaluation and management of a significant complication in the post-transplant population.
Disclosures
The author has nothing to disclose.
Funding
None.
Acknowledgments
The content of this article reflects the personal experience and views of the author and should not be considered medical advice or recommendation. The content does not reflect the views or opinions of the American Society of Nephrology (ASN) or Kidney360. Responsibility for the information and views expressed herein lies entirely with the author.
Footnotes
See related article, “The Association of Pre-Transplant C-Peptide Level with the Development of Post-Transplant Diabetes: A Cohort Study,” on pages 1738–1745.
Author Contributions
E. Joachim wrote the original draft and reviewed and edited the manuscript.
References
- 1.Hecking M, Sharif A, Eller K, Jenssen T: Management of post-transplant diabetes: Immunosuppression, early prevention, and novel antidiabetics. Transpl Int 34: 27–48, 2021. 10.1111/tri.13783 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Porrini EL, Díaz JM, Moreso F, Delgado Mallén PI, Silva Torres I, Ibernon M, Bayés-Genís B, Benitez-Ruiz R, Lampreabe I, Lauzurrica R, Osorio JM, Osuna A, Domínguez-Rollán R, Ruiz JC, Jiménez-Sosa A, González-Rinne A, Marrero-Miranda D, Macía M, García J, Torres A: Clinical evolution of post-transplant diabetes mellitus. Nephrol Dial Transplant 31: 495–505, 2016. 10.1093/ndt/gfv368 [DOI] [PubMed] [Google Scholar]
- 3.Sarno G, Muscogiuri G, De Rosa P: New-onset diabetes after kidney transplantation: Prevalence, risk factors, and management. Transplantation 93: 1189–1195, 2012. 10.1097/TP.0b013e31824db97d [DOI] [PubMed] [Google Scholar]
- 4.Wissing KM, Pipeleers L: Obesity, metabolic syndrome and diabetes mellitus after renal transplantation: Prevention and treatment. Transplant Rev (Orlando) 28: 37–46, 2014. 10.1016/j.trre.2013.12.004 [DOI] [PubMed] [Google Scholar]
- 5.Vinson AJ, Thanamayooran A, Kiberd BA, West K, Siddiqi FS, Gunaratnam L, Tennankore KK: The association of pre-transplant C-peptide level with the development of post transplant diabetes: A cohort study. Kidney360 3: 1738–1745, 2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Griffith ML, Jagasia MH, Misfeldt AA, Chen H, Engelhardt BG, Kassim A, Savani BN, Survant M, Jagasia SM: Pretransplantation C-peptide level predicts early posttransplantation diabetes mellitus and has an impact on survival after allogeneic stem cell transplantation. Biol Blood Marrow Transplant 17: 86–92, 2011. 10.1016/j.bbmt.2010.06.010 [DOI] [PubMed] [Google Scholar]
- 7.Chadban SJ, Ahn C, Axelrod DA, Foster BJ, Kasiske BL, Kher V, Kumar D, Oberbauer R, Pascual J, Pilmore HL, Rodrigue JR, Segev DL, Sheerin NS, Tinckam KJ, Wong G, Knoll G: KDIGO clinical practice guideline on the evaluation and management of candidates for kidney transplantation. Available at: https://kdigo.org/wp-content/uploads/2018/08/KDIGO-Txp-Candidate-GL-FINAL.pdf. Accessed August 4, 2022 [DOI] [PubMed] [Google Scholar]
- 8.Sharif A, Baboolal K: Diagnostic application of the A(1c) assay in renal disease. J Am Soc Nephrol 21: 383–385, 2010. 10.1681/ASN.2010010031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Huang E, Abdalla B, Andre M, Bunnapradist S: Pre-transplant weight change and new-onset diabetes after kidney transplantation [abstract]. Am J Transplant 15: 408, 2015 [Google Scholar]
- 10.Sharif A, Shabir S, Chand S, Cockwell P, Ball S, Borrows R: Meta-analysis of calcineurin-inhibitor-sparing regimens in kidney transplantation. J Am Soc Nephrol 22: 2107–2118, 2011. 10.1681/ASN.2010111160 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Torres A, Hernández D, Moreso F, Serón D, Burgos MD, Pallardó LM, Kanter J, Díaz Corte C, Rodríguez M, Diaz JM, Silva I, Valdes F, Fernández-Rivera C, Osuna A, Gracia Guindo MC, Gómez Alamillo C, Ruiz JC, Marrero Miranda D, Pérez-Tamajón L, Rodríguez A, González-Rinne A, Alvarez A, Perez-Carreño E, de la Vega Prieto MJ, Henriquez F, Gallego R, Salido E, Porrini E: Randomized controlled trial assessing the impact of tacrolimus versus cyclosporine on the incidence of posttransplant diabetes mellitus. Kidney Int Rep 3: 1304–1315, 2018. 10.1016/j.ekir.2018.07.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Troisi RJ, Cowie CC, Harris MI: Diurnal variation in fasting plasma glucose: Implications for diagnosis of diabetes in patients examined in the afternoon. JAMA 284: 3157–3159, 2000. 10.1001/jama.284.24.3157 [DOI] [PubMed] [Google Scholar]
