The Effects of Agro-ecological Farming Systems on Human Health
AGROHEALTH
1 other identifier
interventional
34
1 country
1
Brief Summary
As concerns regarding the effects of agriculture on human and environmental health mount, a growing number of farmers are seeking ways to improve health from the ground up. A promising way by which a growing number of farmers are seeking to improve environmental health is by using agro-ecological practices (i.e., farming more closely in harmony with natural systems), which include practices such as multi-cropping, ley rotations, and/or integrated crop-livestock systems. Despite potential ecological benefits, there is a lack of critical knowledge if consuming foods from agro-ecological systems impacts biomarkers of human health, including inflammatory and metabolomics profiles. The purpose of this project is to test the hypothesis that consuming foods produced using agro-ecological practices improves biomarkers of consumer health compared to consuming similar foods from conventional (monoculture) agriculture. All diets will be matched one-to-one in terms of macronutrients and food sources.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Aug 2022
Typical duration for not_applicable
1 active site
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
First Submitted
Initial submission to the registry
May 31, 2022
CompletedStudy Start
First participant enrolled
August 1, 2022
CompletedFirst Posted
Study publicly available on registry
October 12, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
March 15, 2025
CompletedJuly 15, 2024
July 1, 2024
1.4 years
May 31, 2022
July 11, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Inflammatory cytokine biomarker (IL-6 and TNF-alpha) concentrations in plasma samples
Inflammatory biomarker concentrations of IL-6 and TNF-alpha (pg/ml) will be measured using ELISA kits at the Center for Human Nutrition Studies at Utah State University. Blood samples will be obtained via phlebotomy at day 44 (post-diet) for each intervention, centrifuged immediately and stored at -80ºC until analyses are performed.
Day 44 (post)
Inflammatory cytokine biomarker (C-reactive protein) concentrations in plasma samples
Inflammatory biomarker concentrations of C-reactive protein (CRP; ng/ml) will be measured using ELISA kits at the Center for Human Nutrition Studies at Utah State University. Blood samples will be obtained via phlebotomy on day 44 (post-diet) for each intervention, centrifuged immediately and stored at -80ºC until analyses are performed.
Day 44 (post)
Relative abundance of metabolites in plasma samples using triple quad LC/MS-MS
Relative abundance (arbitrary units) of plasma metabolites after each diet will be measured using high-performance liquid chromatography tandem mass-spectrometry (LC/MS-MS). This analysis allows the simultaneous high-resolution measurement of a broad range of metabolites and will give insight into how food-derived metabolites from the two different diets impact metabolic pathways of human health. Blood samples will be obtained via phlebotomy on day 44 (post-diet) for each intervention, centrifuged immediately and stored at -80ºC until analyses are performed. Multivariate statistical analysis and Partial least squares Discriminant Analysis will be used to identify features change from pre to post on each diet.
Day 44 (post)
Composition of gut microbiota bacteria using 16s rRNA sequencing
First of the day stool samples will be collected on day 44 (post-diet) for each intervention using DNA Genotek OMR-200 collection kits and stored at -80ºC until analyses are performed. DNA will be extracted from stool samples using a QIAamp Fast DNA Stool Mini Kit following manufacturer's instructions and analyzed for taxonomic assignment using 16s rRNA sequencing. Reported outcomes include individual bacteria and Shannon Index Values.
Day 44 (post)
Secondary Outcomes (4)
Pittsburgh Sleep Quality Index (PSQI) scores
Day 44 (post)
The Perceived Stress Scale (PSS) scores
Day 44 (post)
Profile of Mood States (POMS) scores
Day 44 (post)
Short Form Healthy Survey (SF-36) scores
Day 44 (post)
Study Arms (2)
Sequence 1: Agro (Green) - Conventional (Yellow)
ACTIVE COMPARATORFirst, the agro-ecological sourced diet will be consumed. Secondly, the conventional sourced diet will be consumed.
Sequence 2: Conventional (Yellow) - Agro (Green)
ACTIVE COMPARATORFirst, the conventional sourced diet will be consumed. Secondly, the agro-ecological sourced diet will be consumed.
Interventions
Food for the conventional diet will be sourced from local grocery stores (non-organic produce) around Logan, UT, USA.
Food for the agro-ecological diet will be sourced predominantly from the Greenacres farm (Cincinnati, OH, USA) and a limited number of other retailers that sell select foods from agro-ecological producers (Seal the Seasons, General Mills, Pecan Shop, Sol Simple).
Eligibility Criteria
You may qualify if:
- Age ≥35 and ≤60 years
- BMI ≥25 and ≤35kg/m2
- Weight stable in last 3 months (loss or gain \<4%)
- Hemoglobin A1C (HbA1C ≤6.4%)
- Fasting plasma glucose concentration \<126mg/dl
- For the safety of the participant and proper consent of the procedures, subjects must be able to speak and understand English to participate in this study
- Stable medication/supplement use for 3 months prior to study
You may not qualify if:
- Use of medications that are known to affect the study outcome measures (e.g., NSAIDs, corticosteroids) or increase the risk of study procedures (e.g., anticoagulants) that cannot be temporarily discontinued for this study
- Strict dietary patterns (e.g., vegan, keto)
- Consuming \>14 alcoholic drinks per week
- Use of cigarettes (or other tobacco products) in last 3 months
- Engaged in high level of competitive exercise (e.g., iron man, marathons, powerlifting)
- Diagnoses of active malignancy, congestive heart failure, diabetes mellitus or chronic obstructive pulmonary disease
- Any inflammatory diseases(e.g., autoimmune diseases, coeliac disease, glomerulonephritis, hepatitis, inflammatory. bowel disease, arthritis)
- Use of antibiotics in last 60 days
- Pregnant or planning to become pregnant in the next 5 months
- Lactating women
- Persons who are unable or unwilling to follow the study protocol or who, for any reason, the research team considers not an appropriate candidate for this study, including non-compliance with screening appointments or study visits
- Participants that are pregnant or planning on becoming pregnant in the next 5 months are excluded. The justification is the documented alterations in metabolism that occur during pregnancy, which would impact our metabolomics analysis in this study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Utah State Universitylead
- GreenAcres Foundationcollaborator
Study Sites (1)
Center for Human Nutrition Studies
Logan, Utah, 84322, United States
Related Publications (7)
Kronberg SL, Provenza FD, van Vliet S, Young SN. Review: Closing nutrient cycles for animal production - Current and future agroecological and socio-economic issues. Animal. 2021 Dec;15 Suppl 1:100285. doi: 10.1016/j.animal.2021.100285. Epub 2021 Jul 24.
PMID: 34312093BACKGROUNDWezel, A.et al.Agroecological practices for sustainable agriculture. A review. Agronomy for Sustainable Development34, 1-20, doi:10.1007/s13593-013-0180-7 (2014).
BACKGROUNDAlbizua, A., Williams, A., Hedlund, K. & Pascual, U. Crop rotations including ley and manure can promote ecosystem services in conventional farming systems. Applied Soil Ecology95, 54-61, doi:https://doi.org/10.1016/j.apsoil.2015.06.003(2015).
BACKGROUNDMcDaniel MD, Tiemann LK, Grandy AS. Does agricultural crop diversity enhance soil microbial biomass and organic matter dynamics? A meta-analysis. Ecol Appl. 2014 Apr;24(3):560-70. doi: 10.1890/13-0616.1.
PMID: 24834741BACKGROUNDLain KY, Catalano PM. Metabolic changes in pregnancy. Clin Obstet Gynecol. 2007 Dec;50(4):938-48. doi: 10.1097/GRF.0b013e31815a5494.
PMID: 17982337BACKGROUNDGalie S, Garcia-Gavilan J, Papandreou C, Camacho-Barcia L, Arcelin P, Palau-Galindo A, Rabassa A, Bullo M. Effects of Mediterranean Diet on plasma metabolites and their relationship with insulin resistance and gut microbiota composition in a crossover randomized clinical trial. Clin Nutr. 2021 Jun;40(6):3798-3806. doi: 10.1016/j.clnu.2021.04.028. Epub 2021 Apr 27.
PMID: 34130026BACKGROUNDMeslier V, Laiola M, Roager HM, De Filippis F, Roume H, Quinquis B, Giacco R, Mennella I, Ferracane R, Pons N, Pasolli E, Rivellese A, Dragsted LO, Vitaglione P, Ehrlich SD, Ercolini D. Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome independently of energy intake. Gut. 2020 Jul;69(7):1258-1268. doi: 10.1136/gutjnl-2019-320438. Epub 2020 Feb 19.
PMID: 32075887BACKGROUND
Related Links
Study Officials
- PRINCIPAL INVESTIGATOR
Stephan van Vliet
Utah State University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Participants will be masked to the type of diet (Agroecological or Conventional) they are consuming.
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
May 31, 2022
First Posted
October 12, 2022
Study Start
August 1, 2022
Primary Completion
December 15, 2023
Study Completion
March 15, 2025
Last Updated
July 15, 2024
Record last verified: 2024-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF, CSR, ANALYTIC CODE
- Time Frame
- After analysis and publication are complete.
Decoded metabolomics data will be posted in public repositories (Metabolomics Workbench) Decoded inflammatory biomarker, gut microbiome, and bloodwork data will be added as supplemental information to the publication.