IPHAAB-study Influence of Physical Activity on Atherosclerosis Biomarkers

January 6, 2016 updated by: Jeanette Strametz-Juranek, Medical University of Vienna

Influence of Physical Activity on Promising Atherosclerosis Biomarkers

This study investigates the influence of an increased physical activity and sports workload in formerly nonsporting healthy individuals on current promising biomarkers of atherosclerosis research.

Study Overview

Detailed Description

According to Statistik Austria, cardiovascular disease (CVD) is the most common reason for death in Austria in total population. In 2011, 42,3 % of all deaths were due to CVD (ICD-10 I00-I99). In People aged 45-64 years, CVD is, beyond cancer, the second most common cause of death. According to the "Österreichische Gesundheitsbefragung 2006/7" more than two-thirds of men and three-quarters of women are physically inactive whereby physical inactivity was defined as at least 3x/week of sudatory exercise like cycling, jogging or aerobic.

A very famous study done by Morris et al. in 1953 showed that bus conductors in London (walking job) had half of the coronary heart disease (CHD) mortality compared to bus drivers (sitting job) and therefore initiated the hour of birth of CVD research in connection to physical (in)activity. Cardiorespiratory fitness might reduce does-dependently all cause cardiovascular mortality by 20-30 % (5-8) and the probability of developing CHD by 30-50 % (9-11).

Recently, CVD-research focuses on the investigation of blood-markers which indicate the presence of atherosclerosis and represent risk for development and genesis of CV events. E.g. inflammatory markers such as IL-6, TNF-alpha, ICAM-1, P-selectin, hsCRP and serum amyloid A are promising markers. Studies have shown that hsCRP levels at baseline predict future CV events. Markers of plaque stability are e.g. myeloperoxidase, metalloproteinase-9 and soluble CD-40 ligand. However, the influence of exercise on these factors has already been investigated.

The main dependent variables will be endocan and osteoprotegerin (OPG): OPG is a member of the TNF-related family and involved in bone metabolism. However, high levels of OPG have been reported in association with cardiovascular outcome (CAD, vascular calcification, advanced atherosclerosis, heart failure...). Serum concentrations were found to correlate with severity of peripheral artery disease, carotic stenosis and myocardial infarction. Furthermore, OPG is was associated with left ventricle and left atrial remodelling in patients with severe aortic stenosis, a disease which is often obverse in elderly patients. Age and gender were shown to predict OPG levels, at least in hemodialysis patients. Several studies have been performed investigating the influence of acute exercise or resistance training on circulating OPG amounts but less is known about the influence of long-term physical exercise.

Endocan (endothelial cell specific molecule 1; ESM-1) is a recombinant proteoglycan which may represent a new marker that correlates with CV risk and surrogate endothelial dysfunction playing a role in endothelium-dependent pathological disorders.

Other variables will be:

  • Progerin: Progerin was originally investigated in course of research in Hutchinson-Gilford-Syndrome, a genetic effect which affects children leading to atherosclerosis. Progerin correlates with the vascular pathology of "normal" aging and is present also in the "normal" population.
  • Myeloid-related protein 8 and 14 (MRP-8/14): MRP-8/14 is a stable heterodimer, formed by Ca++-binding proteins. It has been shown that MRP-8/14 regulates vascular inflammation, is involved in diabetic vascular complications and occurs in CAD. Furthermore, MRP-14 was associated with histopathologic findings and inflammation status in atherosclerotic plaques.
  • Angiopoietin-like protein 2 (angptl2): Angptl2 depends to the family of angiopoietin-like proteins and is involved in angiogenesis. Angptl2 was shown to be 6 times higher in mice with CAD compared to controls. Furthermore, it increases with age but this increase was more pronounced in mice with high cholesterol levels. Angptl2 therefore contributes to the genesis and pathogenesis of atherosclerosis.
  • Cathepsin S and K: Cathepsins are synthesized as inactive proenzymes and get activated by proteolytic processes. Atherosclerotic lesions contain much higher amounts of cathepsin S and K than normal arteries. Furthermore, they seem to play a role in the formation of aneurysms.
  • Cystatin C: Cystatin C is a cysteine protease inhibitor participating in protein catabolism and has been suggested to predict CVD. High serum levels of cystatin c were shown to correlate with early stage atherosclerosis. Cystatin C is an independent predictor for the risk of cardiovascular events.
  • Placental growth factor (PlGF): PlGF, a cysteine-knot protein which is quite homologous to VEGF, was implicated in the Pathophysiology of angiogenesis. PlGF-expression in atherosclerotic lesions was shown to be associated with inflammation and microvascular density suggesting PlGF to play a role in plaque destabilization and clinical manifestation of CAD (32). Anti-PlGF monoclonal antibody therapy in mice lead to a decrease in development of atherosclerosis.

All mentioned markers are of distinctive interest in atherosclerosis research, however, the influence of long-term exercise on them has not been studied yet.

Study Type

Observational

Enrollment (Actual)

98

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Vienna, Austria, 1090
        • Medical University of Vienna

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

30 years to 65 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The study population will consist of about 55 female and 55 male individuals aged 30-65 years with mostly sedentary work (>6 hours/day) doing no or less physical activity (<30 minutes quick walking/day).

Description

Inclusion Criteria:

  • Age 30-65 years
  • less than 30 minutes of quick walking/day
  • Physical ability to perform sports and bicycle stress tests

Exclusion Criteria:

  • Age <30 or >65 years
  • Pregnancy
  • weight >130 kg
  • untreated/uncontrolled hypertension

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Sports group
The cohort will consist of about 55 female and 55 male individuals aged 30-65 years with mostly sedentary work (>6 hours/day) doing no or less physical activity (<30 minutes quick walking/day) who want to engage more in physical activity (at least 150 minutes of at least moderate intensity per week). The gain in workload will be objectified and quantified by performing a bicycle stress test at the beginning of the study and after 8 months of physical engagement.
At least 150 minutes of moderate or 75 minutes of vigorous exercise per week. The "Recommendations for Adults From the American College of Sports Medicine and the American Heart Association" clearly define physical exercise intensity levels. The present study follows these recommendations. Consequently, moderate physical activity can be reached by e.g. quick walking, slow bicycling, slow swimming...; it is also possible to reach the expected workload by engaging in vigorous exercise (e.g. jogging/running, quick swimming, playing soccer/tennis...). The gain in performance will objectified by performing a bicycle stress test at the beginning and the end of the study.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from baseline osteoprotegerin and endocan level to osteoprotegerin and endocan levels after 8 months of increased physical activity workload
Time Frame: Baseline, Month 8
Osteoprotegerin and endocan levels will be measured at baseline, every 2 months of training and at the end of the observation after 8 months
Baseline, Month 8

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from baseline Progerin, Myeloid-related peptide 8 and 14, Angiopoietin-like protein 2, Cathepsin S and K, Cystatin C and Placental growth factor level to levels after 8 months of increased physical activity workload
Time Frame: Baseline, Month 8
Progerin, Myeloid-related peptide 8 and 14, Angiopoietin-like protein 2, Cathepsin S and K, Cystatin C and Placental growth levels will be measured at baseline, every 2 months of training and at the end of the observation after 8 months
Baseline, Month 8

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Jeanette Strametz-Juranek, Prof.Dr., Medical University of Vienna

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

August 1, 2014

Primary Completion (Actual)

November 1, 2015

Study Completion (Actual)

December 1, 2015

Study Registration Dates

First Submitted

March 24, 2014

First Submitted That Met QC Criteria

March 25, 2014

First Posted (Estimate)

March 26, 2014

Study Record Updates

Last Update Posted (Estimate)

January 7, 2016

Last Update Submitted That Met QC Criteria

January 6, 2016

Last Verified

January 1, 2016

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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