Urinary peptidomic liquid biopsy for non-invasive differential diagnosis of chronic kidney disease.
Emmanouil MavrogeorgisTianlin HeHarald MischakAgnieszka LatosinskaAntonia VlahouJoost P SchanstraLorenzo CataneseKerstin AmannTobias B HuberJoachim BeigeHarald RupprechtJustyna SiwyPublished in: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association (2023)
Urinary peptide data present an effective basis for CKD aetiology differentiation using machine learning models. Although adding the UMAP step to the models did not improve prediction accuracy, it may provide a unique visualization advantage. Additional studies are warranted to further validate the pipeline's clinical potential as well as expand to other CKD aetiologies and also other diseases.