Prognostic Value of Growth Differentiation Factor 15 in Kidney Donors and Recipients.
Ulrich JehnKatharina Schütte-NütgenUte HenkeJoachim BautzHermann PavenstädtBarbara SuwelackStefan ReuterPublished in: Journal of clinical medicine (2020)
Growth differentiation factor-15 (GDF15) is associated with inflammatory conditions, chronic kidney disease, cardiovascular disease and mortality. There is very limited data on GDF15 after kidney donation and transplantation. We analyzed serum samples of patients who donated a kidney (54 living donors) or who underwent kidney transplantation (104 recipients) at the University Hospital of Münster (Germany) between 2013 and 2015, for GDF15 levels immediately prior and one year after surgery. GDF15 levels were significantly elevated in end-stage renal disease patients compared to healthy individuals (2844 (IQR 2087, 3361) pg/ml vs. 384 (IQR 307, 487) pg/ml, p < 0.001). GDF15 was strongly associated with the dialysis vintage. While kidney transplantation led to a significant decrease of GDF15 (913 (IQR 674, 1453) pg/ml, p < 0.001), kidney donation caused a moderate increase of GDF15 (510 (IQR 420, 626), p < 0.001) one year after surgery. GDF15 levels remained significantly higher in recipients and kidney donors than in healthy controls (735 (IQR 536, 1202) pg/ml vs. 384 (IQR 307, 487) pg/ml, p < 0.001). GDF15 is increased in patients with kidney disease and is associated with dialysis vintage. Given its decrease after transplantation and its increase after uni-nephrectomy, GDF15 might be a marker of kidney function. However, since it correlates only to the eGFR in transplanted patients it may indicate chronic kidney disease.
Keyphrases
- end stage renal disease
- chronic kidney disease
- kidney transplantation
- peritoneal dialysis
- cardiovascular disease
- small cell lung cancer
- stem cells
- type diabetes
- ejection fraction
- machine learning
- oxidative stress
- cell therapy
- tyrosine kinase
- prognostic factors
- robot assisted
- epidermal growth factor receptor
- electronic health record
- cardiovascular events
- big data
- cardiovascular risk factors