The subject of the invention is the method of detecting and diagnosing the progression of diabetes using Raman spectroscopy which involves the examination of the changes in the composition of urinary extracellular vesicles which confirm the existence of the condition and its progression. The invention can be applied in clinical practice, in particular in the early clinical diagnostics of diabetes and in the monitoring of its progression, in particular diabetic nephropathy and advanced renal impairment caused by diabetes.

The present invention relates to urine protein markers of renal damage or pathological phenotype and methods using thereof. It further relates to urine protein markers for determining the degree of fibrosis in a kidney and methods using thereof. In particular, it relates to methods using said biomarkers in monitoring patient's suffering from chronic kidney disease or further to renal transplantation. It further pertains to associated second medical uses, methods of treatment, kits and use thereof in the methods of the invention.

The present invention relates to methods and compositions for monitoring, diagnosis, prognosis, and determination of treatment regimens in subjects suffering from or suspected of having a renal injury. In particular, the invention relates to using assays that detect one or more of Metalloproteinase inhibitor 1, Metalloproteinase inhibitor 2, Metalloproteinase inhibitor 4, C—C motif chemokine 15, C—C motif chemokine 18, C—C motif chemokine 23, and/or, C—C motif chemokine 24 as diagnostic and prognostic biomarker assays in renal injuries.

The present disclosure provides a method for detecting short-chain fatty acids in biological samples, including a derivatizing step, a loading step and a detecting step. The derivatizing step includes treating the short-chain fatty acids in the biological sample with 2-nitrophenylhydrazine for derivatizing the short-chain fatty acids into a sample to be detected. The loading step includes loading the sample onto a paper carrier. The detecting step includes analyzing the sample loaded onto the paper carrier by direct analysis in real time mass spectrometry for obtaining a detection result. The method provided by the present disclosure may complete the analysis of the biological sample within a short period of time and achieve a quantitative result comparable to that obtained by conventional chromatographic approaches.

The present invention relates to compositions and methods for binding and inhibiting renalase. In one embodiment, the renalase binding molecule inhibits renalase activity. Thus, in diseases and conditions where a reduction of renalase activity is beneficial, such inhibitory renalase binding molecules may act as therapeutics.

The disclosure relates to methods and compositions for the treatment of lupus nephritis. Specifically, the disclosure relates to methods comprising administering to a subject a type I IFN receptor inhibitor.

The disclosure is directed to methods for preventing or treating cardiovascular disease and kidney dysfunction in certain patient populations which involve determining the level of soluble urokinase plasminogen activator receptor (suPAR) protein in a sample obtained from a subject, and performing various therapeutic interventions based on the suPAR level in the sample.

The invention relates to methods for predicting the in vivo nephrotoxicity of a nucleic acid molecule, in particular a nucleic acid molecule such as a siRNA or an antisense oligonucleotide using an in vitro cell based assay measuring the levels of EGFR as toxicity biomarker, potentially in combination with other biomarkers like ATP and KIM-1.

The present invention relates to means and methods suitable for risk prediction of chronic kidney disease (CKD) using Pro-Enkephalin or fragments thereof as biomarker. The risk prediction methods of the invention are intended for healthy subjects and for subjects suffering from diseases such as hypertension, cardiovascular diseases and events, diabetes, metabolic syndrome, obesity, or autoimmune diseases. Subject matter of the invention is also a method of predicting the worsening or improvement of kidney function or dysfunction in healthy and diseased individuals.

The present invention relates to means and methods suitable for risk prediction of chronic kidney disease (CKD) using Pro-Enkephalin or fragments thereof as biomarker. The risk prediction methods of the invention are intended for healthy subjects and for subjects suffering from diseases such as hypertension, cardiovascular diseases and events, diabetes, metabolic syndrome, obesity, or autoimmune diseases. Subject matter of the invention is also a method of predicting the worsening or improvement of kidney function or dysfunction in healthy and diseased individuals.