Proteomic cardiovascular risk assessment in chronic kidney disease Article Swipe
Rajat Deo
,
Ruth F. Dubin
,
Yue Ren
,
Ashwin Murthy
,
Jianqiao Wang
,
Haotian Zheng
,
Zihe Zheng
,
Harold I. Feldman
,
Haochang Shou
,
Josef Coresh
,
Morgan E. Grams
,
Aditya Surapaneni
,
Zeenat Bhat
,
Jordana B. Cohen
,
Mahboob Rahman
,
Jiang He
,
Santosh L. Saraf
,
Alan S. Go
,
Paul L. Kimmel
,
Ramachandran S. Vasan
,
Mark R. Segal
,
Hongzhe Li
,
Peter Ganz
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/eurheartj/ehad115
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/eurheartj/ehad115
Aims Chronic kidney disease (CKD) is widely prevalent and independently increases cardiovascular risk. Cardiovascular risk prediction tools derived in the general population perform poorly in CKD. Through large-scale proteomics discovery, this study aimed to create more accurate cardiovascular risk models. Methods and results Elastic net regression was used to derive a proteomic risk model for incident cardiovascular risk in 2182 participants from the Chronic Renal Insufficiency Cohort. The model was then validated in 485 participants from the Atherosclerosis Risk in Communities cohort. All participants had CKD and no history of cardiovascular disease at study baseline when ∼5000 proteins were measured. The proteomic risk model, which consisted of 32 proteins, was superior to both the 2013 ACC/AHA Pooled Cohort Equation and a modified Pooled Cohort Equation that included estimated glomerular filtrate rate. The Chronic Renal Insufficiency Cohort internal validation set demonstrated annualized receiver operating characteristic area under the curve values from 1 to 10 years ranging between 0.84 and 0.89 for the protein and 0.70 and 0.73 for the clinical models. Similar findings were observed in the Atherosclerosis Risk in Communities validation cohort. For nearly half of the individual proteins independently associated with cardiovascular risk, Mendelian randomization suggested a causal link to cardiovascular events or risk factors. Pathway analyses revealed enrichment of proteins involved in immunologic function, vascular and neuronal development, and hepatic fibrosis. Conclusion In two sizeable populations with CKD, a proteomic risk model for incident cardiovascular disease surpassed clinical risk models recommended in clinical practice, even after including estimated glomerular filtration rate. New biological insights may prioritize the development of therapeutic strategies for cardiovascular risk reduction in the CKD population.
Related Topics
Concepts
Medicine
Cohort
Kidney disease
Renal function
Internal medicine
Cohort study
Mendelian randomization
Population
Disease
Environmental health
Biology
Genetic variants
Biochemistry
Gene
Genotype
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/eurheartj/ehad115
- OA Status
- green
- Cited By
- 37
- References
- 106
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362523663
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4362523663Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/eurheartj/ehad115Digital Object Identifier
- Title
-
Proteomic cardiovascular risk assessment in chronic kidney diseaseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-04Full publication date if available
- Authors
-
Rajat Deo, Ruth F. Dubin, Yue Ren, Ashwin Murthy, Jianqiao Wang, Haotian Zheng, Zihe Zheng, Harold I. Feldman, Haochang Shou, Josef Coresh, Morgan E. Grams, Aditya Surapaneni, Zeenat Bhat, Jordana B. Cohen, Mahboob Rahman, Jiang He, Santosh L. Saraf, Alan S. Go, Paul L. Kimmel, Ramachandran S. Vasan, Mark R. Segal, Hongzhe Li, Peter GanzList of authors in order
- Landing page
-
https://doi.org/10.1093/eurheartj/ehad115Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10281556/pdf/ehad115.pdfDirect OA link when available
- Concepts
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Medicine, Cohort, Kidney disease, Renal function, Internal medicine, Cohort study, Mendelian randomization, Population, Disease, Environmental health, Biology, Genetic variants, Biochemistry, Gene, GenotypeTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
37Total citation count in OpenAlex
- Citations by year (recent)
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2025: 16, 2024: 13, 2023: 8Per-year citation counts (last 5 years)
- References (count)
-
106Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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