How Differences in the Composition of Microorganisms in the Soil Affect the Microorganisms in the Human Gut, Through the Vegetables That Grow in it: a Process Pilot Study With Healthy Participants (HUMANITAS)
The Effect of Soil Biodiversity on Human Gut Microbiome: a Process Pilot Study (The HUMANITAS Study)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
This randomized, double-blind, crossover pilot study will be used to assess the feasibility of logistics including vegetable delivery and preparation of the intervention product by the participants themselves. Besides feasibility, we will aim to identify live bacteria and fungi present in the intervention product (smoothies) and trace these back in stool samples.
The gut microbiome is also called the "second genome" to which many protective and life-supporting functions have been externalized. It orchestrates the crosstalk between our own cells and environmental metagenome. Diet and food choices can modulate gut microbiome species and functional diversity, but the mechanisms by which this occurs are unclear. The nutritional quality of crops, the crop microbiome and the soil microbiome may therefore all be involved.
Ten participants will be randomized in a cross-over design, with each participant drinking three 150 mL vegetable smoothies per day for two separate intervention weeks (HiDi vs LoDi soil origin, randomized 1 : 1). During the first week, smoothies will be prepared with the vegetables derived from microbiome-enriched soil (HiDi) or microbiome-impoverished soil (LoDi). Vegetables, a blender, and detailed instructions to prepare the smoothies on-site will be delivered to the participant. Each participant is asked to keep a diary (in the form of a daily Castor questionnaire), with special attention to dietary habits and intake. Furthermore, before and after this specified diet week, blood and stool samples will be collected. After a washout period of two weeks, participants will be offered identical meals in a crossover design.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Jeroen Maljaars, MD, PhD
- Phone Number: +31 71 526 3575
- Email: P.W.J.Maljaars@lumc.nl
Study Contact Backup
- Name: Maarten Tushuizen, MD, PhD
- Phone Number: +31 71 526 9111
- Email: M.E.Tushuizen@lumc.nl
Study Locations
-
-
South Holland
-
Leiden, South Holland, Netherlands, 2333ZA
- Leids Universitair Medisch Centrum
-
Contact:
- Jeroen Maljaars, MD, PhD
- Phone Number: +31 71 526 9111
- Email: P.W.J.Maljaars@lumc.nl
-
Principal Investigator:
- Jeroen Maljaars, MD, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Aged 18 to 70 years
- Written informed consent
- Inhabitant of Leiden
Exclusion Criteria:
- Any documented causes of chronic disease
- Suspicion of or present excessive alcohol use defined as >2 units/day (>14/week)
- Recent use (<3 months) of antibiotics
- Any known food allergy or restriction, or following a vegan/vegetarian diet
- Use of possible drugs interfering microbiota or recent (< 3 months) changes in dosages
- A psychiatric, addictive or any other disorder that compromises the participants ability to understand the study content and to give written informed consent for participation in the study
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Triple
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: Crops derived from Low followed by High diversity soil
Participants will be given vegetables, originating from low- or high-microbial diversity soil, to prepare smoothies with.
In this arm participants start with vegetables from a low diversity soil, after a washout period of two weeks they will receive vegetables from a high diversity soil.
|
Vegetable smoothie prepared with crops grown in low-microbial diversity soil
Vegetable smoothie prepared with crops grown in high-microbial diversity soil
|
|
Active Comparator: Crops derived from High followed by Low diversity soil
Participants will be given vegetables, originating from low- or high-microbial diversity soil, to prepare smoothies with.
In this arm participants start with vegetables from a high diversity soil, after a washout period of two weeks they will receive vegetables from a low diversity soil.
|
Vegetable smoothie prepared with crops grown in low-microbial diversity soil
Vegetable smoothie prepared with crops grown in high-microbial diversity soil
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Feasibility of logistics of the study protocol: Deliveries
Time Frame: From start enrollment to the end of treatment at 4 weeks
|
The percentage of successful deliveries to the participants in the pre-agreed time window.
|
From start enrollment to the end of treatment at 4 weeks
|
|
Feasibility of logistics of the study protocol: Preparation of the intervention product
Time Frame: From the start of the treatment period until the end at 4 weeks
|
Using the Daily diary (Castor questionnaire), successful preparation of the intervention product is assessed.
|
From the start of the treatment period until the end at 4 weeks
|
|
Feasibility of logistics of the study protocol: Recruitment rate
Time Frame: From the start of recruitment until the start of the study
|
Number of recruited participants per month until the start of the study.
|
From the start of recruitment until the start of the study
|
|
Tracing back life microorganisms from the smoothie in stool samples
Time Frame: Day 1, Day 7, Day 22, and Day 28
|
Life bacteria present in the smoothies will be cultured and sequenced to then compare to feces samples of participants
|
Day 1, Day 7, Day 22, and Day 28
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Participant compliance to the study protocol
Time Frame: From start enrolment until the end of treatment at the end of 4 weeks
|
Compliance with the protocol will be assessed through the daily lifestyle diary (in the form of a Castor questionnaire).
Which will capture the number of consumed smoothies (≥95.2%) and number of consumed smoothies at the correct time window (≥80%).
As well whether the duration and time of exercise (≥80%), duration and time of nighttime sleeping period (≥80%), timing and content of main meals (≥80%) between the two periods are comparable.
For each of the parameters the compliance threshold is indicated above.
Based on these parameters we will get a percentage of participants that were compliant.
|
From start enrolment until the end of treatment at the end of 4 weeks
|
|
Shifts in gut microbiome composition
Time Frame: Baseline, Day 8, Day 21, and Day 29
|
Metagenomics will be performed on feces samples from participants to get an compositional view of the gut microbiome.
Samples will be taken at baseline, Day 8, Day 21, and Day 29
|
Baseline, Day 8, Day 21, and Day 29
|
|
Sample completeness
Time Frame: From start of treatment to the end of treatment at 4 weeks
|
percentage of complete sampling sets
|
From start of treatment to the end of treatment at 4 weeks
|
|
Asses willingness of participants to create their own intervention product
Time Frame: From start treatment to end of treatment at 4 weeks
|
Using the Daily diary (Castor questionnaire), the participants are required to fill in their opinion on creating their own intervention product on a daily basis.
This is measured on a 10 point scale, with 1 being equal to never wanting to do it again and 10 being equal to enjoying it.
There is also an optional open question where participants can justify their answer.
|
From start treatment to end of treatment at 4 weeks
|
|
Differences in phytonutrient levels in serum
Time Frame: Baseline, Day 8, Day 21, and Day 29
|
After confirmation of significant changes in gut microbiome composition, phytonutrient levels will be measured in serum.
Serum will be collected at Baseline, Day 8, Day 21, and Day 29
|
Baseline, Day 8, Day 21, and Day 29
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA, Biddinger SB, Dutton RJ, Turnbaugh PJ. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014 Jan 23;505(7484):559-63. doi: 10.1038/nature12820. Epub 2013 Dec 11.
- Albenberg LG, Wu GD. Diet and the intestinal microbiome: associations, functions, and implications for health and disease. Gastroenterology. 2014 May;146(6):1564-72. doi: 10.1053/j.gastro.2014.01.058. Epub 2014 Feb 4.
- Henao-Mejia J, Elinav E, Jin C, Hao L, Mehal WZ, Strowig T, Thaiss CA, Kau AL, Eisenbarth SC, Jurczak MJ, Camporez JP, Shulman GI, Gordon JI, Hoffman HM, Flavell RA. Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity. Nature. 2012 Feb 1;482(7384):179-85. doi: 10.1038/nature10809.
- Clemente JC, Ursell LK, Parfrey LW, Knight R. The impact of the gut microbiota on human health: an integrative view. Cell. 2012 Mar 16;148(6):1258-70. doi: 10.1016/j.cell.2012.01.035.
- Turnbaugh PJ, Backhed F, Fulton L, Gordon JI. Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host Microbe. 2008 Apr 17;3(4):213-23. doi: 10.1016/j.chom.2008.02.015.
- Julious, S.A. (2005), Sample size of 12 per group rule of thumb for a pilot study. Pharmaceut. Statist., 4: 287-291. https://doi.org/10.1002/pst.185
- Sanna S, van Zuydam NR, Mahajan A, Kurilshikov A, Vich Vila A, Vosa U, Mujagic Z, Masclee AAM, Jonkers DMAE, Oosting M, Joosten LAB, Netea MG, Franke L, Zhernakova A, Fu J, Wijmenga C, McCarthy MI. Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases. Nat Genet. 2019 Apr;51(4):600-605. doi: 10.1038/s41588-019-0350-x. Epub 2019 Feb 18.
- Hirt H. Healthy soils for healthy plants for healthy humans: How beneficial microbes in the soil, food and gut are interconnected and how agriculture can contribute to human health. EMBO Rep. 2020 Aug 5;21(8):e51069. doi: 10.15252/embr.202051069. Epub 2020 Jul 31.
- Blum WEH, Zechmeister-Boltenstern S, Keiblinger KM. Does Soil Contribute to the Human Gut Microbiome? Microorganisms. 2019 Aug 23;7(9):287. doi: 10.3390/microorganisms7090287.
- Fierer N. Embracing the unknown: disentangling the complexities of the soil microbiome. Nat Rev Microbiol. 2017 Oct;15(10):579-590. doi: 10.1038/nrmicro.2017.87. Epub 2017 Aug 21.
- Leeming ER, Louca P, Gibson R, Menni C, Spector TD, Le Roy CI. The complexities of the diet-microbiome relationship: advances and perspectives. Genome Med. 2021 Jan 20;13(1):10. doi: 10.1186/s13073-020-00813-7.
- Johnson AJ, Zheng JJ, Kang JW, Saboe A, Knights D, Zivkovic AM. A Guide to Diet-Microbiome Study Design. Front Nutr. 2020 Jun 12;7:79. doi: 10.3389/fnut.2020.00079. eCollection 2020.
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- NL-010026
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.