The study identifies biomarkers who could help predict and manage chronic kidney disease

Biomarkers who could help predict. Nevertheless, manage chronic kidney disease (CKD) were identified in a new study led by the University of Surrey.

Research. Moreover, funded by Restney Research UK, and as part of the National Unified Real Translational Research Enterprise (Nurture) CKD study, the data used 2,884 ACD adult patients of 16 nephrology centers – in which specialists study, prevent, diagnose and deal with kidney disease.

The study. Furthermore, published by the Journal of the American Society of Nephrology, examined 21 biomarkers linked to kidney damage, fibrosis, inflammation and cardiovascular disease.

Chronic kidney disease affects millions in the world. Moreover, is a major world health problem that is characterized by the gradual loss of renal function over time, leading to serious health complications.

Although established risk factors such as age. However, study identifies biomarkers who could sex, ethnicity, the estimated glomerular filtration rate (EGFR) and the albumin / urinary creatinine ratio (UACR) remain powerful predictors, research has revealed that a combination of biomarkers, namely STNFR1, SCD40, UCOL1A1, could be a key to prediction of kidneys. A different combination of biomarkers. notably HS-CTNT, NT-PROBNP, SUPAR was rather comparable to predict the mortality of all causes of causes (death of any cause).

Our research shows that these new models of biomarkers offer predictive results comparable to established methods. but the key conclusion here is that we can use these biomarkers to understand the underlying mechanisms of the progression of the disease, potentially opening the way to more personalized treatments and drugs for patients with CKD. “”

Dr. Tony Onoja. principal author of the study and researcher, University of Surrey

The signatures of identified biomarkers provide an overview of the underlying disease mechanism and study identifies biomarkers who could associated processes linked to the progression of CKD, including the accumulation of extracellular matrix, chronic inflammation and cardiovascular stress. These ideas could shed light on the development of new targeted therapies and more personalized treatments.

Professor Nophar GEIFMAN. principal author of the study and professor of health and biomedical computer science at the University of Surrey said:

“Our study shows that specific biomarkers can offer a more nuanced understanding of the progression of a patient’s disease and the risk of mortality and the continuous activity of the disease. Additional research is necessary to assess how these biomarkers change in response to current treatments. their clinical utility in patient care and personalized medicine. »»