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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT06362278
Other study ID # 026
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date March 20, 2024
Est. completion date December 2025

Study information

Verified date April 2024
Source The First Affiliated Hospital with Nanjing Medical University
Contact Chunjian Li, PHD
Phone +86 13701465229
Email lijay@njmu.edu.cn
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The goal of this multi-center observational clinical trial is to investigate the genetic risk factors of patients with premature CAD and none traditional CAD risk factors through a multi-omics approach. The main questions it aims to answer are: - Genetic risk factors & metabolic fingerprints of patients with premature CAD and none traditional CAD risk factors remain unknown. - How to optimize current primary prevention strategy for this rare CAD subgroup?


Description:

Cardiovascular diseases (CVDs) remain the leading cause of global mortality despite continuous efforts in disease prevention and treatment optimization. In 2022 alone, CVD caused an estimated 19.8 million deaths worldwide, and ischemic heart disease had the highest global age-standardized DALYs of all diseases at 2,275.9 per 100,000. Therefore, research on the etiology and pathogenesis of coronary artery disease (CAD) remains first priority. It is now widely known that risk factors such as diabetes mellitus, hyperlipidemia, hypertension, smoking, and obesity are closely related to CAD, but they only explain 30%-40% of CAD risk factors, and large-sample cohort and twin studies have concluded that CAD heritability is estimated to be 40% to 60%. With the development of the Human Genome Project and high-throughput sequencing technology, in the past decade, increasingly larger genome-wide association studies (GWAS) have been conducted worldwide and biobanks established. Public sequencing data is increasingly being used as external common controls instead of sequencing new controls in every study. Till now, thousands of mutations related to CAD have been identified. Multiple Polygenic risk scores (PRSs) have been developed to improve the prediction of common, complex cardiovascular diseases like CAD on individual level. Premature CAD has been proved to have strong link with family history of cardiovascular and cerebral vascular disease, which indicates a strong genetic background of premature CAD. However, there is an even more scarce & inconspicuous subgroup of premature CAD, defined as premature CAD without common CAD risk factors in this study. First of all, most of those patients were considered "healthy" or "at very low risk of CVDs" before CAD was diagnosed; secondly, genetic risk factors & metabolic fingerprints of such patients remain unknown; thirdly, we still don't know yet how to optimize current primary prevention strategy for this rare CAD subgroup. For this regard, we designed this multi-omics study to cover the questions mentioned above.


Recruitment information / eligibility

Status Recruiting
Enrollment 160
Est. completion date December 2025
Est. primary completion date December 2025
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 75 Years
Eligibility Inclusion Criteria for cases: 1. In-patients from cardiology department of either following 3 hospitals: a) The First Affiliated Hospital of Nanjing Medical University; b) Qilu Hospital of Shandong University; c) The Second Affiliated Hospital Zhejiang University School of Medicine 2. Confirmed diagnosis of Obstructive CAD (=50% diameter stenosis in a major epicardial vessel) through coronary angiography 3. Age of the patient when Obstructive CAD was for the first time diagnosed should be no more than 45 years old for the male and 55 years old for the female. Inclusion Criteria for controls: 1. In-patients from cardiology department of either following 3 hospitals: a) The First Affiliated Hospital of Nanjing Medical University; b) Qilu Hospital of Shandong University; c) The Second Affiliated Hospital Zhejiang University School of Medicine 2. Coronary artery stenosis was ruled out through either coronary angiography or coronary CTA. Exclusion Criteria for both cases and controls: 1. Patients with hypertension (grade 1-3) 2. Patients with type 1 or type 2 diabetes mellitus 3. BMI >28.0 Kg/m^2 4. Patients with non-ideal blood lipids level on admission(defined as either LDL-C=2.6mmol/L OR non-HDL cholesterol=3.4mmol/L OR Lipoprotein(a) =300mg/L) 5. Smoker (Smoking for more than 6 consecutive or cumulative months in a lifetime, whether quit smoking or not) 6. Patients with hyperuricemia or gout 7. eGFR<60 ml/min·1.73m^2 8. Patients with structural heart diseases, inherited cardiomyopathies & arrhythmias 9. Other reasons a participant considered unsuitable for inclusion by researchers.

Study Design


Intervention

Other:
multi-omics studies
15cc peripheral venous blood will be collected for multi-omics studies, including whole-exome study, transcriptomics & metabolomics studies.

Locations

Country Name City State
China The Second Affiliated Hospital of Zhejiang University Medical College Hangzhou Zhejiang
China Qilu Hospital of Shangdong University Jinan Shandong
China First Affiliated Hospital of Nanjing Medical University Nanjing Jiangsu

Sponsors (1)

Lead Sponsor Collaborator
The First Affiliated Hospital with Nanjing Medical University

Country where clinical trial is conducted

China, 

References & Publications (11)

Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Munoz D, Smith SC Jr, Virani SS, Williams KA Sr, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019 Sep 10;140(11):e596-e646. doi: 10.1161/CIR.0000000000000678. Epub 2019 Mar 17. No abstract available. Erratum In: Circulation. 2019 Sep 10;140(11):e649-e650. Circulation. 2020 Jan 28;141(4):e60. Circulation. 2020 Apr 21;141(16):e774. — View Citation

Collet JP, Zeitouni M, Procopi N, Hulot JS, Silvain J, Kerneis M, Thomas D, Lattuca B, Barthelemy O, Lavie-Badie Y, Esteve JB, Payot L, Brugier D, Lopes I, Diallo A, Vicaut E, Montalescot G; ACTION Study Group. Long-Term Evolution of Premature Coronary Artery Disease. J Am Coll Cardiol. 2019 Oct 15;74(15):1868-1878. doi: 10.1016/j.jacc.2019.08.1002. — View Citation

Kessler T, Vilne B, Schunkert H. The impact of genome-wide association studies on the pathophysiology and therapy of cardiovascular disease. EMBO Mol Med. 2016 Jul 1;8(7):688-701. doi: 10.15252/emmm.201506174. Print 2016 Jul. — View Citation

Mensah GA, Fuster V, Murray CJL, Roth GA; Global Burden of Cardiovascular Diseases and Risks Collaborators. Global Burden of Cardiovascular Diseases and Risks, 1990-2022. J Am Coll Cardiol. 2023 Dec 19;82(25):2350-2473. doi: 10.1016/j.jacc.2023.11.007. No abstract available. — View Citation

Muse ED, Chen SF, Torkamani A. Monogenic and Polygenic Models of Coronary Artery Disease. Curr Cardiol Rep. 2021 Jul 1;23(8):107. doi: 10.1007/s11886-021-01540-0. — View Citation

Navas-Nacher EL, Colangelo L, Beam C, Greenland P. Risk factors for coronary heart disease in men 18 to 39 years of age. Ann Intern Med. 2001 Mar 20;134(6):433-9. doi: 10.7326/0003-4819-134-6-200103200-00007. Erratum In: Ann Intern Med 2001 Jul 3;135(1):71. — View Citation

O'Sullivan JW, Raghavan S, Marquez-Luna C, Luzum JA, Damrauer SM, Ashley EA, O'Donnell CJ, Willer CJ, Natarajan P; American Heart Association Council on Genomic and Precision Medicine; Council on Clinical Cardiology; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular Radiology and Intervention; Council on Lifestyle and Cardiometabolic Health; and Council on Peripheral Vascular Disease. Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 2022 Aug 23;146(8):e93-e118. doi: 10.1161/CIR.0000000000001077. Epub 2022 Jul 18. — View Citation

Saadatagah S, Varughese MG, Nambi V. Coronary Artery Disease Risk Prediction in Young Adults: How Can We Overcome the Dominant Effect of Age? Curr Atheroscler Rep. 2023 Jun;25(6):257-265. doi: 10.1007/s11883-023-01106-1. Epub 2023 May 17. — View Citation

Singh A, Collins BL, Gupta A, Fatima A, Qamar A, Biery D, Baez J, Cawley M, Klein J, Hainer J, Plutzky J, Cannon CP, Nasir K, Di Carli MF, Bhatt DL, Blankstein R. Cardiovascular Risk and Statin Eligibility of Young Adults After an MI: Partners YOUNG-MI Registry. J Am Coll Cardiol. 2018 Jan 23;71(3):292-302. doi: 10.1016/j.jacc.2017.11.007. Epub 2017 Nov 12. — View Citation

Vilne B, Schunkert H. Integrating Genes Affecting Coronary Artery Disease in Functional Networks by Multi-OMICs Approach. Front Cardiovasc Med. 2018 Jul 17;5:89. doi: 10.3389/fcvm.2018.00089. eCollection 2018. — View Citation

Wojcik GL, Murphy J, Edelson JL, Gignoux CR, Ioannidis AG, Manning A, Rivas MA, Buyske S, Hendricks AE. Opportunities and challenges for the use of common controls in sequencing studies. Nat Rev Genet. 2022 Nov;23(11):665-679. doi: 10.1038/s41576-022-00487-4. Epub 2022 May 17. — View Citation

* Note: There are 11 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary common & rare variants associated with "healthy" pre-mature CAD phenotype Whole-exome study in both patients and matching controls will be pefromed using rare-variant collapsing analyses to findout common & rare variants accosicated with this phenotype. Relative variants will be further screend & validated in verification group. If necessary, further casade screening using trios-wes technique will be perfromed within certain families under written consent. 3 months
Primary Unique metabolomic fingerprints associated with "healthy" pre-mature CAD phenotype Non-targeted metabonomic analysis of plasma will be performed in both patients and matching controls. Relative metabolites will be further screend & validated in verification group. If necessary, further targeted metabonomic analysis will be performed using redundant serum samples . 3 months
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