DOI: 10.1101/499483Dec 21, 2018Paper

Urinary biomarkers and cardiovascular outcomes in the UK Biobank: observational and Mendelian randomization analyses

BioRxiv : the Preprint Server for Biology
Daniela ZanettiErik Ingelsson


Background: Urinary biomarkers are associated with hypertension and cardiovascular disease (CVD), but the nature of these associations is incompletely understood. Methods: We performed multivariable-adjusted regression models to assess associations of urinary sodium-potassium ratio (UNa/UK), and urinary albumin adjusted for creatinine (UAlb/UCr) with cardiovascular risk factors, CVD and type 2 diabetes (T2D) in 478,311 participants of the UK Biobank. Further, we studied above associations separately in men and women, and assessed the causal relationships of these kidney biomarkers with cardiovascular outcomes using the two-sample Mendelian randomization (MR) approach. Results: In observational analyses, UNa/UK showed significant inverse associations with atrial fibrillation (AF), coronary artery disease (CAD), ischemic stroke, lipid-lowering medication and T2D. In contrast, UAlb/UCr showed significant positive associations with AF, CAD, heart failure, hemorrhagic stroke, lipid-lowering medication and T2D. We found a positive association between UNa/UK and albumin with blood pressure (BP), as well as with adiposity-related measures. Generally, we detected consistent directionality in sex-stratified analyses, with some evidence f...Continue Reading

Related Concepts

Atrial Fibrillation
Biological Markers
Blood Pressure
Cardiovascular Diseases
Diabetes Mellitus, Non-Insulin-Dependent
Heart Failure
Hypertensive Disease

Related Feeds

CV Disorders & Type 2 Diabetes

This feed focuses on the association of cardiovascular diseases in patients with type 2 diabetes.

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Cardiovascular Disease Pathophysiology

Cardiovascular disease involves several different processes that contribute to the pathological mechanism, including hyperglycemia, inflammation, atherosclerosis, hypertension and more. Vasculature stability plays a critical role in the development of the disease. Discover the latest research on cardiovascular disease pathophysiology here.

Cardiovascular Diseases: Risk Factors

Cardiovascular disease is a significant health concern. Risk factors include hypertension, obesity, dyslipidemia and smoking. Women who are postmenopausal are at an increased risk of heart disease. Here is the latest research for risk factors of cardiovascular disease.

Atrial Fibrillation

Atrial fibrillation is a common arrhythmia that is associated with substantial morbidity and mortality, particularly due to stroke and thromboembolism. Here is the latest research.

Cardiovascular Inflammation

Inflammation plays a significant role in the development of cardiovascular diseases, an understanding of these endogenous processes is critical for evaluating the risks and potential treatment strategies. Discover the latest research on cardiovascular inflammation here.


Arrhythmias are abnormalities in heart rhythms, which can be either too fast or too slow. They can result from abnormalities of the initiation of an impulse or impulse conduction or a combination of both. Here is the latest research on arrhythmias.

Atrial Filbrillation

Atrial fibrillation refers to the abnormal heart rhythm characterized by rapid and irregular beating of the atria. Here is the latest research.

Biomarkers for Cardiovascular Risk Assessment

Sensitive and accurate biomarkers used in cardiovascular risk prediction can potentially be used to manage the risk of cardiovascular disease. Discover the latest research on Biomarkers for Cardiovascular Risk Assessment here. Discover the latest research on Biomarkers for Cardiovascular Risk Assessment here.

Biomarkers for Type 2 Diabetes

Biomarkers can help understand chronic diseases and assist in risk prediction for prevention and early detection of diseases. Here is the latest research on biomarkers in type 2 diabetes, a disease in which the body is unable to produce or properly use insulin.