Cys-C protein can predict risk of cardiovascular and renal diseases

The glomerular filtration rate (GFR) is normally specified as a measure of kidney function. The GFR is the volume of blood that the kidneys filter per minute (the unit of measurement, in relation to a standardized body surface area, is therefore ml/min/1.73 m2).

To calculate or estimate GFR (eGFR= estimated GFR), an equation based, inter alia, on the laboratory parameter serum creatinine is mostly applied. Creatinine, a non-protein nitrogenous substance, is a breakdown product of muscle metabolism that is released continuously and excreted in urine (making it a urinary substance).

If kidney function is impaired, eGFR decreases and serum creatinine increases. However, because the body's own creatinine production depends on various factors (e.g. age, gender and muscle mass), the significance of creatinine-based eGFR (eGFRcr) is a recurrent topic of discussion among specialists.

For example, the kidney function of a delicate elderly lady (with low muscle mass and correspondingly lower serum creatinine) may be wrongly assessed as normal, based on her creatinine level, even though her kidney function may be significantly reduced.

Conversely, the muscular creatinine production in a bodybuilder may cause elevated serum creatinine values and thus lead arithmetically to a low eGFR (despite normal kidney function).

The endogenous protein Cystatin C (Cys-C), which is permanently released in the metabolism of almost all body cells, therefore appears to be more suitable as a marker than serum creatinine.

The volume of Cys-C amount is independent of age, gender and muscle mass - potential confounding factors in cystatin-based eGFR estimation (eGFRcys) are inflammation, cancer, thyroid dysfunction or steroid therapy. Cys-C measurement is also more expensive than creatinine, and the test is not available in every laboratory.

An equation for estimating eGFR that includes both parameters (eGFRcr-cys) has been shown to provide the most accurate approximation of true GFR, not only in early stages, but also in late stages of kidney disease.

This may be due to the fact that the confounding factors of the two parameters are independent of each other and play a less significant role in the combined equation eGFRcr-cys, according to the authors.

eGFRcr-cys is particularly suitable, therefore, when it is important to know how well kidneys function as precisely as possible and at an early stage (e.g. to calculate the dosage of certain drugs, for enrolment in studies, or in the case of potential kidney donors).

Accurate measurement is needed for the early detection of CKD. The ERA-EDTA recommends that eGFRcys and eGFRcr-cys be implemented as the new standard."

Denis Fouque, Professor, Lyon/France, Editor-in-Chief, NDT

Restriction of kidney function is known to worsen the prognosis of patients with cardiovascular disease. "eGFRcys and eGFRcr-cys could be used in anybody with an eGFRcr of 45-60 or 60-90 ml/min/1.73 m2 plus another cardiovascular risk factor to confirm diagnosis/staging of CKD.

The lowest identified eGFR should be used for forward planning", explains corresponding author, Dr. Jennifer Lees, Glasgow. "EGFRcys should be used in parallel with traditional cardiovascular risk factors in order to produce a more exact prediction of individual risk and to optimize the primary prevention cardiovascular disease."

Source:
Journal reference:

Lees, J. S. & Mark, P. B., (2020) Cystatin C to predict renal disease and cardiovascular risk. Nephrology Dialysis Transplantation. doi.org/10.1093/ndt/gfaa152.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Global analysis reveals tripling of chronic kidney disease cases in women