Healthy Clinical Trial
— TirolGESUNDOfficial title:
TirolGESUND: General Exercise, Smoking Undone, and Nutrition Diet
Verified date | May 2024 |
Source | Universitaet Innsbruck |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The goal of this clinical study is to learn about disease-risk and age-associated changes in DNA methylation patterns associated with disease risk or age in healthy women aged 30-60 in response to health-promoting lifestyle intervention (intermittent fasting or smoking cessation). The main questions the study aims to answer are: - Are the scores of DNA methylation in epigenetic signatures associated with age, women's cancer risk, or risk exposure reduced after 6 months of lifestyle intervention compared to baseline? - What are the dynamics of DNA methylation changes during or following intervention, and do differences in changes between different sample types exist? - Which other biomarkers of health and disease, including metabolic changes, microbiome, clinical, mental, or inflammatory parameters, are altered following intervention? The investigators also aim to explore whether DNA methylation changes are associated with changes in other biomarkers mentioned above. Participants will be allocated to intermittent fasting or smoking cessation based on inclusion criteria. Intermittent fasting encompasses a 16:8 intermittent fasting schedule. Food intake is limited to an 8 h window per day with fasting for the remaining 16 h. Within the intermittent fasting study, participants are randomised to receive a ketogenic supplement (medium-chain triglyceride fibre) or not. Participants in the smoking cessation study will be guided to stop smoking. All participants will receive 1:1 personal coaching throughout the study, and will be provided with an optional exercise programme. All participants will also receive nutritional advice from a professional dietician throughout the study. Participants are invited to donate samples every 2 months for 6 months. Researchers will compare signatures at the start and after 6 months of intervention. Within the intermittent fasting group, researchers will compare effects in individuals that received the ketogenic supplement to those that did not.
Status | Active, not recruiting |
Enrollment | 156 |
Est. completion date | December 2024 |
Est. primary completion date | August 31, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 30 Years to 60 Years |
Eligibility | Inclusion Criteria: 1. Women aged 30 to 60 2. Motivated to change their lifestyle Smoking cessation intervention: 3a. Smoking cessation: =10 cigarettes per day for at least the last five years Dietary intervention: 3b Dietary intervention: BMI between 25 and 35 NB [Nota Bene], should 3a and 3b apply, participant will be allocated to the smoking cessation intervention. Exclusion Criteria: 1. Relevant underlying conditions: 1. Current or previous malignant tumour or cancer 2. Current or previous significant cardiovascular disorder [participants with elevated blood pressure are allowed to participate as long as it is well controlled under their current medication] 3. Current or previous metabolic disorder (e.g., diabetes type I or II) [in the dietary intervention arm, participants with current hypothyroidism/Morbus Hashimoto will be excluded as the switch to intermittent fasting may require a adjustment of their medication] 4. Current or previous psychiatric disorder (e.g., eating disorder, depression) 2. Current pregnancy or lactation period 3. Total hysterectomy 4. Known current or previous premalignant lesion of the cervix uteri (CIN2/3) 5. Concurrent participation in another interventional trial |
Country | Name | City | State |
---|---|---|---|
Austria | European Translational Oncology Prevention and Screening Institute | Hall In Tirol | Tirol |
Lead Sponsor | Collaborator |
---|---|
Universitaet Innsbruck | Tirol Kiniken GmbH |
Austria,
Barrett JE, Herzog C, Jones A, Leavy OC, Evans I, Knapp S, Reisel D, Nazarenko T, Kim YN, Franchi D, Ryan A, Franks J, Bjorge L, Zikan M, Cibula D, Harbeck N, Colombo N, Dudbridge F, Jones L, Sundstrom K, Dillner J, Radestad AF, Gemzell-Danielsson K, Pashayan N, Widschwendter M. The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples. Nat Commun. 2022 Feb 1;13(1):449. doi: 10.1038/s41467-021-27918-w. — View Citation
Barrett JE, Herzog C, Kim YN, Bartlett TE, Jones A, Evans I, Cibula D, Zikan M, Bjorge L, Harbeck N, Colombo N, Howell SJ, Radestad AF, Gemzell-Danielsson K, Widschwendter M. Susceptibility to hormone-mediated cancer is reflected by different tick rates of the epithelial and general epigenetic clock. Genome Biol. 2022 Feb 22;23(1):52. doi: 10.1186/s13059-022-02603-3. Erratum In: Genome Biol. 2022 Jun 29;23(1):142. — View Citation
Barrett JE, Jones A, Evans I, Reisel D, Herzog C, Chindera K, Kristiansen M, Leavy OC, Manchanda R, Bjorge L, Zikan M, Cibula D, Widschwendter M. The DNA methylome of cervical cells can predict the presence of ovarian cancer. Nat Commun. 2022 Feb 1;13(1):448. doi: 10.1038/s41467-021-26615-y. — View Citation
Barrett JE, Sundstrom K, Jones A, Evans I, Wang J, Herzog C, Dillner J, Widschwendter M. The WID-CIN test identifies women with, and at risk of, cervical intraepithelial neoplasia grade 3 and invasive cervical cancer. Genome Med. 2022 Oct 19;14(1):116. doi: 10.1186/s13073-022-01116-9. — View Citation
GBD 2019 Cancer Risk Factors Collaborators. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2022 Aug 20;400(10352):563-591. doi: 10.1016/S0140-6736(22)01438-6. — View Citation
Jacob L, Freyn M, Kalder M, Dinas K, Kostev K. Impact of tobacco smoking on the risk of developing 25 different cancers in the UK: a retrospective study of 422,010 patients followed for up to 30 years. Oncotarget. 2018 Apr 3;9(25):17420-17429. doi: 10.18632/oncotarget.24724. eCollection 2018 Apr 3. — View Citation
Key TJ, Allen NE, Spencer EA, Travis RC. The effect of diet on risk of cancer. Lancet. 2002 Sep 14;360(9336):861-8. doi: 10.1016/S0140-6736(02)09958-0. — View Citation
Steck SE, Murphy EA. Dietary patterns and cancer risk. Nat Rev Cancer. 2020 Feb;20(2):125-138. doi: 10.1038/s41568-019-0227-4. Epub 2019 Dec 17. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Exploratory investigation of metabolic profile via NMR over course of intervention for hypothesis generation | The investigators will examine metabolome profiles in urine and saliva samples using untargeted nuclear magnetic resonance (NMR) for hypothesis generation of future intervention trials. | Urine and saliva samples collected at baseline, month 2, month 4, and month 6 | |
Other | Change of plasma inflammatory markers compared to baseline. | Pending the outcome of this investigation, targeted investigation of associated plasma circulating markers may be conducted. Appropriate inflammatory markers will be investigated using a sufficiently sensitive method, such as high sensitivity ELISA or luminex bead arrays. | Samples collected at baseline and month 6, optional month 2 and month 4 | |
Primary | Change from baseline scores of DNA methylation biomarkers of age, disease risk, and exposure | Examination of change in epigenetic age, disease risk, and exposure signature scores compared to baseline (before and after intervention, i.e. baseline-controlled) in cervical samples. DNA methylation levels will be measured using the Illumina MethylationEPIC array and computed using previously described methylation indices, including:
WID-BC (Women's risk identification - Breast cancer) WID-OC (ovarian cancer) WID-EC (endometrial cancer) WID-CIN (cervical intraepithelial neoplasia) WID-REA (relative epithelial age) WID-RIA (relative immune age) pcgtAge (mitotic clock) WID-SOLA[ge] (systemic organ life age) WID-SMK (smoking) |
Baseline, Month 6 (per participant) | |
Secondary | Description of study characteristics: registration rate in percent (%) | Final registration rate of participants initially interested, i.e. those who signed up for information webinars, in percent (%) | Baseline | |
Secondary | Description of study characteristics: drop-out rate in percent (%) | Number of included participants who dropped out over the course of the study, in percent (%) | Month 6 (Primary end point of study) | |
Secondary | Description of study characteristics: compliance rate in percent (%) | Description of compliance rate (i.e. days compliant with the intervention over the duration of the study), in percent (%) | Month 6 (Primary end point of study) | |
Secondary | Change in DNA methylation scores from baseline in cervical samples at month 2, month 4, and month 6 | Examination of change in epigenetic age, disease risk, and exposure signature scores compared to baseline (before and after intervention, i.e. baseline-controlled) in cervical samples collected at baseline and again at month 2, 4, and 6, using t Tests and/or linear mixed-effects models where appropriate. DNA methylation levels will be measured using the Illumina MethylationEPIC array and computed using previously described methylation indices, including:
WID-BC WID-OC WID-EC WID-CIN WID-REA (relative epithelial age) WID-RIA (relative immune age) pcgtAge (mitotic clock) WID-SOLA[ge] WID-SMK The change in scores will also be compared to changes in the same scores in buccal and blood samples (outcomes 6 and 7) to evaluate temporal and spatial DNA methylation dynamics in response to lifestyle intervention. |
Samples collected at baseline, month 2, month 4, and month 6 | |
Secondary | Change in DNA methylation scores from baseline in buccal samples at month 2, month 4, and month 6 | Examination of change in epigenetic age, disease risk, and exposure signature scores compared to baseline (before and after intervention, i.e. baseline-controlled) in buccal samples collected at baseline and again at month 2, 4, and 6, using t Tests and/or linear mixed-effects models where appropriate. DNA methylation levels will be measured using the Illumina MethylationEPIC array and computed using previously described methylation indices, including:
WID-BC WID-OC WID-EC WID-CIN WID-REA (relative epithelial age) WID-RIA (relative immune age) pcgtAge (mitotic clock) WID-SOLA[ge] WID-SMK The change in scores will also be compared to changes in the same scores in cervical and blood samples (outcomes 5 and 7) to evaluate temporal and spatial DNA methylation dynamics in response to lifestyle intervention. |
Samples collected at baseline, month 2, month 4, and month 6 | |
Secondary | Change in DNA methylation scores from baseline in blood samples at month 2, month 4, and month 6 | Examination of change in epigenetic age, disease risk, and exposure signature scores compared to baseline (before and after intervention, i.e. baseline-controlled) in blood samples collected at baseline and again at month 2, 4, and 6, using t Tests and/or linear mixed-effects models where appropriate. DNA methylation levels will be measured using the Illumina MethylationEPIC array and computed using previously described methylation indices, including:
WID-BC WID-OC WID-EC WID-CIN WID-REA (relative epithelial age) WID-RIA (relative immune age) pcgtAge (mitotic clock) WID-SOLA[ge] WID-SMK The change in scores will also be compared to changes in the same scores in cervical and buccal samples (outcomes 5 and 6) to evaluate temporal and spatial DNA methylation dynamics in response to lifestyle intervention. |
Samples collected at baseline, month 2, month 4, and month 6 | |
Secondary | Change in beneficial and harmful microbial species compared to baseline, in percent (%) | Quantification of selected beneficial and harmful bacteria based on previous literature, in fecal and saliva samples, and computation of change from baseline.
If big differences are found, temporal dynamics of changes will be examined in samples collected at month 2 and month 4. |
Samples collected at baseline and month 6, optional month 2 and month 4 | |
Secondary | Change in microbial diversity score compared to baseline, in percent (%) | Quantification of microbial diversity using entropy scores at baseline and month 6. If big differences are found, temporal dynamics of changes will be examined in samples collected at month 2 and month 4. | Samples collected at baseline and month 6, optional month 2 and month 4 | |
Secondary | Change of immune and inflammatory cell populations in peripheral blood | Immune/inflammatory cell heterogeneity will be investigated in samples from peripheral blood using flow cytometry using well-established cellular markers. Cell population changes from baseline will be reported. If big differences are found, temporal dynamics of changes will be examined in samples collected at month 2 and month 4. Pending the outcome of this investigation, targeted investigation of associated plasma circulating markers may be conducted. | Samples collected at baseline and month 6, optional month 2 and month 4 | |
Secondary | Change in body mass index from baseline | Changes in BMI from baseline (diet arm of the study).
Changes in BMI from baseline (diet arm of the study). |
Baseline and month 6. | |
Secondary | Change in body composition as quantified by bioelectric impedance analysis from baseline | Change in body composition (% muscle, fat, water, abdominal fat composition) composition from baseline as quantified by bioelectric impedance analysis (diet arm of the study). | Baseline and month 6. | |
Secondary | Change in smoking status from baseline | Changes in smoking status (smoking cessation arm of the study), defined as: smoking - yes/no. | Baseline and month 6. | |
Secondary | Change in vascular health from baseline: pulse-wave velocity | Change in measured pulse wave velocity (m/s) as recorded using the vicorder. | Baseline and month 6. | |
Secondary | Change in vascular health from baseline: intima-media thickness | Change in measured vascular intima-media thickness as measured using ultrasound. | Baseline and month 6. | |
Secondary | Change in vascular health from baseline: intima-media thickness | Change in measured vascular plaque score as measured using ultrasound. | Baseline and month 6. | |
Secondary | Change in physical activity from baseline | Change in physical activity from baseline, as quantified using the international physical activity questionnaire (IPAQ) | Baseline and month 6 | |
Secondary | Change in physical activity from baseline: fitness tracker data | Change in physical activity from baseline as quantified using fitness tracker data (resting heart rate month 0 to resting heart rate month 6) | Baseline and month 6 | |
Secondary | Change in physical activity from baseline: VO2max | Change in physical activity from baseline as quantified via sports examination (VO2max) | Baseline and month 6 | |
Secondary | Change in pulmonary health from baseline | Pulmonary health markers, e.g. FEV1 (Forced expiratory volume), at baseline and at 6 months using spirometry | Baseline and month 6 | |
Secondary | Change in health-related quality of life from baseline | Change in health-related quality of life (EuroQoL, i.e. EQ-5D-5L, https://euroqol.org/eq-5d-instruments/eq-5d-5l-about/) at baseline and at 6 months | Baseline and month 6 |
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