NCT06900270

Brief Summary

The presence and clinical evolution of coronary atherosclerosis depend on various classic risk factors and biomarkers. However, the search for more specific markers is necessary, especially for individuals with non-obstructive coronary artery disease, lesions \< 50%. In this regard, the field of plasma proteomics could enable the discovery of these novel biological indicators. To evaluate and compare the differences in the proteomic profile among three groups of individuals, namely those without atherosclerotic lesions, those with non-obstructive lesions in coronary flow (\< 50%), and those with obstructive lesions (e 50%), as determined by findings from coronary computed tomography angiography (CCTA) or invasive coronary angiography (ICA). The aim is to assess their relationship with typical clinical events of coronary artery disease (CAD) and detect potential prognostic biomarkers associated with each group. A cross-sectional cohort study involving 66 patients selected and recruited based on CCTA and ICA results obtained at the Heart Institute of the Hospital das Clínicas of the School of Medicine, University of São Paulo (InCor, HC-FMUSP). The patients were divided into the aforementioned three groups, with 22 individuals in each group, and underwent blood collection for biochemical and proteomic analysis, as well as clinical and demographic characterization. The likely differentiation of the proteomic and metabolomic profile among the groups and identification of biological markers for CAD would contribute to the understanding of its pathophysiology and enable a change in clinical decision-making, particularly regarding disease progression prevention and clinical events.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
66

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Aug 2024

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 1, 2024

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

February 18, 2025

Completed
1 month until next milestone

First Posted

Study publicly available on registry

March 28, 2025

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2025

Completed
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

February 1, 2026

Completed
Last Updated

March 28, 2025

Status Verified

February 1, 2025

Enrollment Period

11 months

First QC Date

February 18, 2025

Last Update Submit

March 26, 2025

Conditions

Keywords

AtherosclerosisCoronary CirculationCoronary Artery DiseaseCoronary OcclusionProteomicsMetabolomics

Outcome Measures

Primary Outcomes (1)

  • Identification of Differentially Expressed Proteins in Coronary Artery Disease Groups

    Identification of Differentially Expressed Proteins Among Three Groups (No Lesion, Non-Obstructive Lesion, and Obstructive Lesion)

    1 Year

Secondary Outcomes (3)

  • Proteomic Biomarkers and Classic Risk Factors Correlation

    1 Year

  • Association of Identified Proteins with Clinical Events in CAD

    1 Year

  • Differential Protein Expression in Relation to Laboratory Biochemical Parameters

    1 Year

Study Arms (3)

Group I

No atherosclerotic lesions

Group II

Non-obstructive coronary lesions (\< 50%)

Group III

Obstructive coronary lesions (≥ 50%)

Eligibility Criteria

Age50 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

1. Group I: Patients without manifest atherosclerotic disease (no history of angina, previous myocardial infarction, prior revascularization, cerebrovascular disease, or peripheral vascular disease). 2. Group II: Patients with non-obstructive coronary lesions (\< 50%) detected on coronary computed tomography angiography (CCTA) or invasive coronary angiography (ICA). 3. Group III: Patients with obstructive coronary lesions (≥ 50%) detected on CCTA or ICA.

You may qualify if:

  • Group I: Patients without manifest atherosclerotic disease (no history of angina, previous myocardial infarction, prior revascularization, cerebrovascular disease, or peripheral vascular disease).
  • Group II: Patients with non-obstructive coronary lesions (\< 50%) detected on coronary computed tomography angiography (CCTA) or invasive coronary angiography (ICA).
  • Group III: Patients with obstructive coronary lesions (≥ 50%) detected on CCTA or ICA.

You may not qualify if:

  • Patients who refuse to sign the informed consent form (ICF);
  • Individuals with non-atherosclerotic heart disease (such as valvular diseases, cardiomyopathies, or congenital heart diseases);
  • Severe nephropathy (creatinine clearance \< 30 mL/min/1.73 m² body surface area);
  • Malignant neoplasms or other chronic diseases with poor prognosis;
  • Patients with acute coronary syndromes within the last 90 days;
  • Active smoking.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Instituto do Coração InCor, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo

São Paulo, São Paulo, 05403-000, Brazil

RECRUITING

Related Publications (16)

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    PMID: 35917032BACKGROUND
  • Nyamundanda G, Gormley IC, Fan Y, Gallagher WM, Brennan L. MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach. BMC Bioinformatics. 2013 Nov 21;14:338. doi: 10.1186/1471-2105-14-338.

    PMID: 24261687BACKGROUND
  • Gika HG, Theodoridis GA, Wingate JE, Wilson ID. Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: application to human urine. J Proteome Res. 2007 Aug;6(8):3291-303. doi: 10.1021/pr070183p. Epub 2007 Jul 11.

    PMID: 17625818BACKGROUND
  • Huang Q, Tan Y, Yin P, Ye G, Gao P, Lu X, Wang H, Xu G. Metabolic characterization of hepatocellular carcinoma using nontargeted tissue metabolomics. Cancer Res. 2013 Aug 15;73(16):4992-5002. doi: 10.1158/0008-5472.CAN-13-0308. Epub 2013 Jul 1.

    PMID: 23824744BACKGROUND
  • Silva-Costa LC, Smith BJ, Carlson PT, Souza GHMF, Martins-de-Souza D. Human Blood Plasma Investigation Employing 2D UPLC-UDMSE Data-Independent Acquisition Proteomics. Methods Mol Biol. 2021;2259:153-165. doi: 10.1007/978-1-0716-1178-4_9.

    PMID: 33687713BACKGROUND
  • Cruz DE, Tahir UA, Hu J, Ngo D, Chen ZZ, Robbins JM, Katz D, Balasubramanian R, Peterson B, Deng S, Benson MD, Shi X, Dailey L, Gao Y, Correa A, Wang TJ, Clish CB, Rexrode KM, Wilson JG, Gerszten RE. Metabolomic Analysis of Coronary Heart Disease in an African American Cohort From the Jackson Heart Study. JAMA Cardiol. 2022 Feb 1;7(2):184-194. doi: 10.1001/jamacardio.2021.4925.

    PMID: 34851361BACKGROUND
  • Fan Y, Li Y, Chen Y, Zhao YJ, Liu LW, Li J, Wang SL, Alolga RN, Yin Y, Wang XM, Zhao DS, Shen JH, Meng FQ, Zhou X, Xu H, He GP, Lai MD, Li P, Zhu W, Qi LW. Comprehensive Metabolomic Characterization of Coronary Artery Diseases. J Am Coll Cardiol. 2016 Sep 20;68(12):1281-93. doi: 10.1016/j.jacc.2016.06.044.

    PMID: 27634119BACKGROUND
  • Sreekumar A, Poisson LM, Rajendiran TM, Khan AP, Cao Q, Yu J, Laxman B, Mehra R, Lonigro RJ, Li Y, Nyati MK, Ahsan A, Kalyana-Sundaram S, Han B, Cao X, Byun J, Omenn GS, Ghosh D, Pennathur S, Alexander DC, Berger A, Shuster JR, Wei JT, Varambally S, Beecher C, Chinnaiyan AM. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature. 2009 Feb 12;457(7231):910-4. doi: 10.1038/nature07762.

    PMID: 19212411BACKGROUND
  • Cheng ML, Wang CH, Shiao MS, Liu MH, Huang YY, Huang CY, Mao CT, Lin JF, Ho HY, Yang NI. Metabolic disturbances identified in plasma are associated with outcomes in patients with heart failure: diagnostic and prognostic value of metabolomics. J Am Coll Cardiol. 2015 Apr 21;65(15):1509-20. doi: 10.1016/j.jacc.2015.02.018.

    PMID: 25881932BACKGROUND
  • Savaryn JP, Catherman AD, Thomas PM, Abecassis MM, Kelleher NL. The emergence of top-down proteomics in clinical research. Genome Med. 2013 Jun 27;5(6):53. doi: 10.1186/gm457. eCollection 2013.

    PMID: 23806018BACKGROUND
  • Ferrannini E, Manca ML, Ferrannini G, Andreotti F, Andreini D, Latini R, Magnoni M, Williams SA, Maseri A, Maggioni AP. Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans. Front Cardiovasc Med. 2022 Feb 4;8:790289. doi: 10.3389/fcvm.2021.790289. eCollection 2021.

    PMID: 35187107BACKGROUND
  • Ostgren CJ, Soderberg S, Festin K, Angeras O, Bergstrom G, Blomberg A, Brandberg J, Cederlund K, Eliasson M, Engstrom G, Erlinge D, Fagman E, Hagstrom E, Lind L, Mannila M, Nilsson U, Oldgren J, Ostenfeld E, Persson A, Persson J, Persson M, Rosengren A, Sundstrom J, Swahn E, Engvall JE, Jernberg T. Systematic Coronary Risk Evaluation estimated risk and prevalent subclinical atherosclerosis in coronary and carotid arteries: A population-based cohort analysis from the Swedish Cardiopulmonary Bioimage Study. Eur J Prev Cardiol. 2021 Apr 23;28(3):250-259. doi: 10.1177/2047487320909300. Epub 2020 Mar 3.

    PMID: 33891684BACKGROUND
  • Fernandez-Friera L, Penalvo JL, Fernandez-Ortiz A, Ibanez B, Lopez-Melgar B, Laclaustra M, Oliva B, Mocoroa A, Mendiguren J, Martinez de Vega V, Garcia L, Molina J, Sanchez-Gonzalez J, Guzman G, Alonso-Farto JC, Guallar E, Civeira F, Sillesen H, Pocock S, Ordovas JM, Sanz G, Jimenez-Borreguero LJ, Fuster V. Prevalence, Vascular Distribution, and Multiterritorial Extent of Subclinical Atherosclerosis in a Middle-Aged Cohort: The PESA (Progression of Early Subclinical Atherosclerosis) Study. Circulation. 2015 Jun 16;131(24):2104-13. doi: 10.1161/CIRCULATIONAHA.114.014310. Epub 2015 Apr 16.

    PMID: 25882487BACKGROUND
  • Ahmadi A, Argulian E, Leipsic J, Newby DE, Narula J. From Subclinical Atherosclerosis to Plaque Progression and Acute Coronary Events: JACC State-of-the-Art Review. J Am Coll Cardiol. 2019 Sep 24;74(12):1608-1617. doi: 10.1016/j.jacc.2019.08.012.

    PMID: 31537271BACKGROUND
  • Maddox TM, Stanislawski MA, Grunwald GK, Bradley SM, Ho PM, Tsai TT, Patel MR, Sandhu A, Valle J, Magid DJ, Leon B, Bhatt DL, Fihn SD, Rumsfeld JS. Nonobstructive coronary artery disease and risk of myocardial infarction. JAMA. 2014 Nov 5;312(17):1754-63. doi: 10.1001/jama.2014.14681.

    PMID: 25369489BACKGROUND
  • Makarovic Z, Makarovic S, Bilic-Curcic I, Mihaljevic I, Mlinarevic D. NONOBSTRUCTIVE CORONARY ARTERY DISEASE - CLINICAL RELEVANCE, DIAGNOSIS, MANAGEMENT AND PROPOSAL OF NEW PATHOPHYSIOLOGICAL CLASSIFICATION. Acta Clin Croat. 2018 Sep;57(3):528-541. doi: 10.20471/acc.2018.57.03.17.

    PMID: 31168187BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Blood Plasma Sample for Proteomic and Metabolomic Analysis

MeSH Terms

Conditions

AtherosclerosisCoronary Artery DiseaseCoronary Occlusion

Condition Hierarchy (Ancestors)

ArteriosclerosisArterial Occlusive DiseasesVascular DiseasesCardiovascular DiseasesCoronary DiseaseMyocardial IschemiaHeart Diseases

Study Officials

  • Protasio da Luz PhD

    Instituto do Coração InCor, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 18, 2025

First Posted

March 28, 2025

Study Start

August 1, 2024

Primary Completion

July 1, 2025

Study Completion

February 1, 2026

Last Updated

March 28, 2025

Record last verified: 2025-02

Data Sharing

IPD Sharing
Will not share

Locations