Mapping renal impairment and cardiac structure and function: observation and genetic insights from 30,000 cardiac magnetic resonance images

Abstract Background The elevated risk of heart failure in kidney dysfunction is well-identified. However, the early alteration of renal impairment on cardiac structure and function, as well as genetic susceptibility associations have not been well reported. We sought to map the early effects of kidney dysfunction on cardiac remodeling with the cardiac magnetic resonance images (MRI) and identify share genetic correlation in community population. Methods Of 29,592 subjects underwent MRI test were recruited from the population-based UK Biobank study from 2006-2010. Renal function was assessed by historical identified chronic kidney disease (CKD), log-transfrom estimated glomerular filtration rate (eGFR) based on cystatin C (eGFRCysC) or serum creatine (eGFRSCr) and urine albumin-to-creatinine ratio (uACR). Multivariable generalized linear regression was used to analyse the association of 4 different kidney function indexes with six cardiac MRI-derived traits: left atria and ventricle, right atria and ventricle, and ascending and descending aortas. Genetic correlation between renal function decline and cardiac traits were evaluated by Mendelian randomization (MR). Results The mean (SD) age of subjects was 54.9 (7.5) years, and 51.1% were women. Observational and MR analysis showed a reliable relationship of lower level of eGFRCysC with reduced biventricular end systolic volume, biventricular ventricular end diastolic volume and left ventricular mass, and lower level of eGFRSCr with reduced left ventricular cardiac output. Conclusions Our study indicates the observational and genetic correlation between kidney function decline and cardiac measurements. These findings provide insights into the potential mechanisms behind their comorbidity and the future development of therapeutics.Renal function decline & Cardiac Imaging

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Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.3276
Citations
1
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.40

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article

Mapping renal impairment and cardiac structure and function: observation and genetic insights from 30,000 cardiac magnetic resonance images

Jy Chen, Naijun Tang, Huiyan Huang, Yingdong He et al.
1 citations
European Heart Journal
Advanced MRI Techniques and Applications
0.40
article

Mapping renal impairment and cardiac structure and function: observation and genetic insights from 30,000 cardiac magnetic resonance images

Jy Chen, Naijun Tang, Huiyan Huang, Yingdong He, Jianjun Liu, Liu Y, Xinhua Lu
article en
1 citations

Abstract

Abstract Background The elevated risk of heart failure in kidney dysfunction is well-identified. However, the early alteration of renal impairment on cardiac structure and function, as well as genetic susceptibility associations have not been well reported. We sought to map the early effects of kidney dysfunction on cardiac remodeling with the cardiac magnetic resonance images (MRI) and identify share genetic correlation in community population. Methods Of 29,592 subjects underwent MRI test were recruited from the population-based UK Biobank study from 2006-2010. Renal function was assessed by historical identified chronic kidney disease (CKD), log-transfrom estimated glomerular filtration rate (eGFR) based on cystatin C (eGFRCysC) or serum creatine (eGFRSCr) and urine albumin-to-creatinine ratio (uACR). Multivariable generalized linear regression was used to analyse the association of 4 different kidney function indexes with six cardiac MRI-derived traits: left atria and ventricle, right atria and ventricle, and ascending and descending aortas. Genetic correlation between renal function decline and cardiac traits were evaluated by Mendelian randomization (MR). Results The mean (SD) age of subjects was 54.9 (7.5) years, and 51.1% were women. Observational and MR analysis showed a reliable relationship of lower level of eGFRCysC with reduced biventricular end systolic volume, biventricular ventricular end diastolic volume and left ventricular mass, and lower level of eGFRSCr with reduced left ventricular cardiac output. Conclusions Our study indicates the observational and genetic correlation between kidney function decline and cardiac measurements. These findings provide insights into the potential mechanisms behind their comorbidity and the future development of therapeutics.Renal function decline & Cardiac Imaging

European Heart JournalVol. 45(Supplement_1)
Guangdong General Hospital (CN)
National Science Foundation, National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 33%
Advanced MRI Techniques and Applications
0.40
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