Proteomics Analysis of Genetic Liability of Abdominal Aortic Aneurysm Identifies Plasma Neogenin and Kit Ligand: The ARIC Study

Author:

Steffen Brian T.12ORCID,Pankow James S.1ORCID,Norby Faye L.3ORCID,Lutsey Pamela L.1ORCID,Demmer Ryan T.14ORCID,Guan Weihua5,Pankratz Nathan6ORCID,Li Aixin1,Liu Guning7,Matsushita Kunihiro89ORCID,Tin Adrienne10ORCID,Tang Weihong1ORCID

Affiliation:

1. Division of Epidemiology and Community Health (B.T.S., J.S.P., P.L.L., R.T.D., A.L., W.T.), University of Minnesota School of Public Health, Minneapolis.

2. Division of Computational Health Sciences, Department of Surgery (B.T.S.), University of Minnesota, Minneapolis.

3. Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA (F.L.N.).

4. Department of Epidemiology, Mailman School of Public Health, Columbia University, New York (R.T.D.).

5. Division of Biostatistics (W.G.), University of Minnesota School of Public Health, Minneapolis.

6. Department of Laboratory Medicine and Pathology (N.P.), University of Minnesota, Minneapolis.

7. Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center, School of Public Health, Houston (G.L.).

8. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K.M.).

9. Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD (K.M.).

10. Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson (A.T.).

Abstract

Background: Genome-wide association studies have reported 23 gene loci related to abdominal aortic aneurysm (AAA)—a potentially lethal condition characterized by a weakened dilated vessel wall. This study aimed to identify proteomic signatures and pathways related to these risk loci to better characterize AAA genetic susceptibility. Methods: Plasma concentrations of 4870 proteins were determined using a DNA aptamer-based array. Linear regression analysis estimated the associations between the 23 risk alleles and plasma protein levels with adjustments for potential confounders in a race-stratified analysis of 1671 Black and 7241 White participants. Significant proteins were then evaluated for their prediction of clinical AAA (454 AAA events in 11 064 individuals), and those significantly associated with AAA were further interrogated using Mendelian randomization analysis. Results: Risk variants proximal to PSRC1-CELSR2-SORT1 , PCIF1-ZNF335-MMP9, RP11-136O12.2/TRIB1 , ZNF259/APOA5, IL6R , PCSK9 , LPA , and APOE were associated with 118 plasma proteins in Whites and 59 were replicated in Black participants. Novel associations with clinical AAA incidence were observed for kit ligand (HR, 0.59 [95% CI, 0.42–0.82] for top versus first quintiles) and neogenin (HR, 0.64 [95% CI, 0.46–0.88]) over a median 21.2-year follow-up; neogenin was also associated with ultrasound-detected asymptomatic AAA (N=4295; 57 asymptomatic AAA cases). Mendelian randomization inverse variance weighted estimates suggested that AAA risk is promoted by lower levels of kit ligand (OR per SD=0.67; P =1.4×10 −5 ) and neogenin (OR per SD=0.50; P =0.03). Conclusions: Low levels of neogenin and kit ligand may be novel risk factors for AAA development in potentially causal pathways. These findings provide insights and potential targets to reduce AAA susceptibility.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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