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This study is a a randomized controlled parallel group dietary intervention conducted over six months in participants at high risk of cardiovascular disease living in Ireland (North and South) to evaluate the efficacy of individualized dietary advice incorporating biomarker profiles in improving diet quality and cardiometabolic outcomes.
Full description
Study design: a randomized controlled parallel group dietary intervention will be conducted over six months in participants at high risk of CVD living in Ireland (North and South) to evaluate the efficacy of individualized dietary advice incorporating biomarker profiles in improving diet quality and cardiometabolic outcomes.
Population and recruitment
Population characteristics: Participants will be at high risk (>20% over 10 years) of developing CVD. Established recruitment mechanisms, used in several previous and ongoing dietary intervention studies, from general practices, hospital outpatient clinics, and from the general population (via press release, radio interviews, poster placement) will be utilized.Recruitment will take place over an 18 month period.
Inclusion criteria: Participants will be considered eligible to enroll in the study if they are overweight (BMI >27 and ≤ 45 kg/m2), have low Prime Diet Quality Score (PDQS <15)27 and a combination of risk factors which places them at high total risk (estimated multifactorial CVD risk ≥ 20% over ten years) of developing atherosclerotic CVD for the first time.
Exclusion criteria: Participants will be ineligible to enroll in the study if they have established diabetes mellitus, CVD or a medical condition or dietary restriction(s) that would substantially limit their ability to complete the study requirements, have an excessive alcohol consumption (>28 Units/week for men or >21 Units/week for women), have a low predicted likelihood to change dietary habits or are unable to provide informed consent.
Randomization: A personal health and medical history questionnaire, together with Joint British Societies CVD risk prediction charts and an assessment of participant's baseline PDQS using a 42-item questionnaire will be used to assess eligibility. This questionnaire is validated in the US, but will be validated in the Irish population. Those eligible and willing to take part will give informed written consent, and will be randomized (randomization scheme generated using www.randomization.com with random block sizes and research staff administering the randomization or conducting endpoint assessment blinded) to either an education only intervention or individually tailored food marker-based dietary advice.
The intervention will take place over a six month period. Participants will be interviewed towards the end of the intervention (for those in individually tailored support arm), or at drop-out (for all participants who drop out), to elicit their views on the intervention.
Dietary intervention: Participants will be randomized to one of two groups:
The dietary advice will be delivered via email and online, with monthly contact and the messages being reinforced during each direct contact with the study team for outcome assessment. Therefore frequency and duration of contact will be similar in both intervention groups.
Outcome measures: Outcomes will be assessed during a clinic visit at 0, 3 and 6 months, and will include dietary intake, anthropometry, other lifestyle behaviors, blood pressure, biological sample collection for nutritional status biomarker and health biomarker analysis, as well as fecal samples for metagenomic and transcriptomic profiling. Outcome data will be collected using the following methodology:
Laboratory methodology: All methods are in routine use in participating laboratories and are performed with careful attention to quality control and with participation in external quality control schemes where available. All laboratory analysis will be conducted blind, i.e. the analyst will not know to which intervention the participant has been assigned.
Biomarkers of cardiometabolic risk: Serum lipids (total cholesterol, HDL-C, and TG) and whole blood HbA1c will be assessed by enzymatic assays (Randox Ltd, Crumlin, NI and Glen Bio, Antrim, NI) on an I-Lab 600 auto-analyzer. LDL-C will be calculated.
Biomarkers of diet quality: the following biomarkers will be used to assess nutritional status response to the dietary intervention: red meat - methylhistidines and carnosine; white meat - TMAO, guanidoacetate, anserine; fruit and vegetables -- proline betaine, isothiocyanates, S-methyl-L-cysteine sulfoxide, and tartaric acid; wholegrains - alkylresorcinols; coffee - phenolic acids, N-methylpyridinium, trigonelline, 2-furoylglycine; SSBs -- formate, citrulline, taurine, and isocitrate)red meat- methylhistidines; oily fish- omega-3 index; fruit and vegetables- total carotenoids and proline betaine; wholegrain- alkylresorcinols.
Gut microbiota composition and functionality: Sample handling and nucleic acid purifications will be performed following an established protocol.166 Illumina DNA-seq libraries with fragment length of ~300 bp will be generated, with Pippen prep size selection. For RNA-seq, 5ug of RNA will be enriched for mRNA and subjected to strand-specific cDNA synthesis using established protocols. Paired-end sequencing (e.g. 150x150 nt) will be performed on the Illumina HiSeq platform.
Primary Outcome: Change in Prime Diet Quality Score.
Secondary Outcomes:
Power calculation: Sample size calculations will be confirmed during the validation of the PDQS within an Irish population. However, based on published US data, with a standard deviation (SD) of PDQS of 2.3, and an assumption of a difference in increase in PDQS of 5 between the personalized dietary advice and control groups then, if there are 60 participants in each group, the study would have over 90% power to detect this difference in mean PDQS as statistically significant, at the α=0.05 level. A total of 134 participants will be recruited to allow for approximately 10% drop-out. For the health outcomes, and, based on what was observed in a dietary intervention based on improving diet quality in similar high CVD risk participants, if there are 60 participants in each group, and it is assumed that (i) the SD of the change in diastolic blood pressure (DBP) is 9 mmHg at the end of the study; (ii) a difference in DBP of 4.5 mmHg between the individualized dietary advice and control groups; then the study would have 80% power to detect, as statistically significant at the 5% level, these differences in mean change between the two groups. The investigators will have similar levels of power (~80%) to detect effect sizes of similar magnitude in total cholesterol, HbA1c and body weight. The analysis of gut microbiota composition and functionality will be exploratory in nature.
Data analytical strategy: The repeated end-point measures generated by the study design will be analyzed with techniques appropriate for longitudinal data using the xt panel study procedures available in Stata release 11 (College Station, TX). Initial examination of the correlation structure of the repeated measures will help guide model fitting. The influence of the dietary intervention under study will be assessed by comparing the means of changes in measurements from baseline to 6 months between the biomarker-based individually tailored advice and education only groups. This difference in means will provide an estimate of the effect of intervention and 95% confidence limits will be calculated to indicate its precision. If appropriate, measurements will be logarithmically transformed prior to analysis and interpretation will be made in ratio terms on the original scale.
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Inclusion and exclusion criteria
Participants will be at high risk (>20% over 10 years) of developing CVD.
Inclusion Criteria:
Participants will be considered eligible to enroll in the study if they are:
Exclusion Criteria:
Participants will be ineligible to enroll in the study if they have:
Primary purpose
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Interventional model
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150 participants in 2 patient groups
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Central trial contact
Jayne Woodside, PhD
Data sourced from clinicaltrials.gov
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