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Effect of Vegetation in Kindergartens on the Immune Response of Children

ADELE: Autoimmune Defense and Living Environment Acronym Description: Adele Comes From the Capitalized Words in the Following Words: Autoimmune DEfense and Living Environment

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02733926
Acronym
ADELEWP1t7
Enrollment
100
Registered
2016-04-12
Start date
2016-04-30
Completion date
2019-12-31
Last updated
2019-07-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ige Responsiveness, Atopic

Brief summary

This study evaluates the effect of vegetation cover on certain Interleukin-10 and immunoglobulinE (IgE) among children (3-5 y old). Children will either be in a kindergarten that does not have forest floor and agricultural land in the backyards, or alternatively they will be in a kindergarten that does have forest floor and agricultural land in the backyards.

Detailed description

High vegetation cover is assumed to change immunoglobulinE (IgE) and interleukin-10 concentrations in blood serum. Children living in high-green kindergarten are compared with those kindergarten living utilizing backyards with a low-green cover.

Interventions

OTHERAdding of vegetation into the backyards of kindergarten

Living plants are transferred into the backyards of kindergartens. This is assumed to affect the measured variables of children.

Sponsors

Tampere University
CollaboratorOTHER
Tampere University of Technology
CollaboratorOTHER
University of Helsinki
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
3 Years to 5 Years
Healthy volunteers
Yes

Inclusion criteria

\- children living in study kindergartens

Exclusion criteria

* immune system deficiency, e.g. HIV-infection * a drug decreasing immune system response, e.g. oral corticosteroid * immune system disorder that affects immune response, e.g. rheumatoid * colitis ulcerosa, Crohn disease, diabetes * cancer * age less than 3 or more than 5 * born outside Finland * intellectual disability

Design outcomes

Primary

MeasureTime frameDescription
Diversity of Gammaproteobacteria on skin.28 daysDiversity of skin Gammaproteobacteria is higher in intervention arm compared to control arm and similar compared to nature-oriented arm after 28-day intervention. It will be measured at baseline and after 28-day intervention.

Secondary

MeasureTime frameDescription
Skin bacterial community changes at family level are higher in intervention than control arm28 daysIf differences are found, it will be checked if diversity of one or more skin bacterial families is related to soil bacterial diversity. Diversity is measured as Shannon diversity index, Multivariate Homogeneity of Group Dispersions and the number of taxa (richness).
Gut Faecalibacterium community changes28 daysCommunity composition of gut Faecalibacterium is different between arms. Faecalibacterium has been associated with gut health and low incidence of certain immune mediated diseases.
Associations between serum plasma TGF-beta and skin microbiota changes28 dayschange in the cytokine will be separately compared with changes in bacterial diversity on skin
Associations between serum plasma IL-10 and skin Gammaproteobacterial microbiota changes28 dayschange in the cytokine will be separately compared with changes in Gammaproteobacterial diversity on skin
Associations between serum plasma IL-17 and skin Gammaproteobacterial microbiota changes28 dayschange in the cytokine will be separately compared with changes in Gammaproteobacterial diversity on skin
Interleukin-10 : interleukin-17A ratio in serum plasma28 daysAn increase IL-10: IL-17A ratio in each arm at the end of the 28 day intervention will be examined
TGF-beta change in serum plasma28 daysAn increase in TGF-beta in intervention arm but not in control arm at the end of the 28 days intervention
TGF-beta: IL-17A ratio in serum plasma28 daysAn increase in TGF-beta: IL17A ratio in intervention arm but not in control arm at the end of the 28 days intervention
IL-10 change in serum plasma28 daysAn increase in IL-10 in intervention arm but not in control arm at the end of the 28 days intervention
IL-17A change in serum plasma28 daysA decrease in IL-17A in intervention arm but not in control arm at the end of the 28 days intervention
Skin bacterial community changes at phylum level28 daysDiversity of skin bacterial phyla, particularly Proteobacterial community, is higher in intervention arm compared to control arm. Proteobacterial community was associated with the coverage of green land cover in an earlier study. In addition, it was different in atopic and non-atopic study subjects in an earlier study. Diversity is measured as Shannon diversity index, Multivariate Homogeneity of Group Dispersions and the number of taxa (richness).
Skin bacterial community changes at class level28 daysDiversity of skin bacterial classes is higher in intervention arm compared to control arm. Diversity of skin bacterial classes is higher in intervention arm compared to control arm. Other community changes include changes in relative abundance, richness and in community composition. If community changes are found, the same difference is searched for in the comparison of surface soil microbiota of intervention versus standard daycare yards. Diversity is measured as Shannon diversity index, Multivariate Homogeneity of Group Dispersions and the number of taxa (richness).
Skin bacterial community changes at order level28 daysOrder level diversity is higher in intervention arm than control arm (in standard daycares). Other community changes include changes in relative abundance, richness and in community composition. If community changes are found, the same difference is searched for in the comparison of surface soil microbiota of intervention versus standard daycare yards.
Skin bacterial community changes at genus level28 daysDiversity of skin bacterial genera is related to arms, i.e. higher in intervention arm. If differences are found, it will be checked if these occur also in soil bacterial diversity. Diversity is measured as Shannon diversity index, Multivariate Homogeneity of Group Dispersions and the number of taxa (richness).
Stool bacterial community changes at phylum level28 daysCommunity composition of gut bacterial phyla are different between arms. Other changes include changes in relative abundance, richness and diversity.
Stool bacterial community changes at class level28 daysCommunity composition of gut bacterial classes are different between arms. Other changes include changes in relative abundance, richness and diversity.
Stool bacterial community changes at order level28 daysCommunity composition of gut bacterial orders are different between arms. Other changes include changes in relative abundance, richness and diversity.
Stool bacterial community changes at family level28 daysCommunity composition of gut bacterial families, particularly Ruminococcaceae, is different between arms. Ruminococcaceae contain taxa associated with the production of short chain fatty acids, such as butyrate. Other changes include changes in relative abundance, richness and diversity.

Other

MeasureTime frameDescription
Associations between TGF-beta and stool commensal microbiota28 daysAssociations between serum plasma TGF-beta and gut microbiota changes are related to intervention. Bacterial communities are related to immune response in one or more arms.
Associations between IL-10: IL-17 ratio and stool commensal microbiota28 daysAssociations between serum plasma IL-10: IL-17ratios and gut microbiota changes are related to intervention. Bacterial communities are related to immune response in one or more arms.
Associations between TGF-beta: IL-17 ratio and stool commensal microbiota28 daysAssociations between serum plasma TGF-beta: IL-17 ratio and gut microbiota changes are related to intervention. Bacterial communities are related to immune response in one or more arms.
Associations between IL-17 and stool commensal microbiota28 daysAssociations between serum plasma IL-17 and gut microbiota changes are related to intervention. Bacterial communities are related to immune response in one or more arms.
Associations between IL-10 and stool commensal microbiota28 daysAssociations between serum plasma cytokine IL-10 and gut microbiota changes are related to intervention. Bacterial communities are related to immune response in one or more arms.

Countries

Finland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026