Nutritional, Metabolic, Endocrine
Conditions
Interventions
Observation lifestyle and diet
Sponsors
Radboudumc Department of Internal Medicine Radboud Center of Infectious Diseases
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Age between 30 and 70 years Belong to the ethnic Chagga, Pare, or Maasai groups Able and willing to provide informed consent No plans to move out of the study area within the next three years
Exclusion criteria
Exclusion criteria: Positive HIV, or malaria rapid test; Random blood glucose > 15mmol/L; Anaemic (Hb <10.0 g/dL in women and <12.0 g/dL in men) at the time of inclusion; Pregnant or lactating women at the time of inclusion; Acute illness or fever <1 month before inclusion; Received vaccines 3 months before inclusion; Currently taking antibiotics, or taken any antibiotics within the past month; Regular intake of supplements (especially n-3 fatty acids, vitamin E, magnesium); Participation in another study concurrently or within the last 30 days; A known chronic condition (including TB, HCV, HBV, CMV, CKD, CLD, and active malignancies, as diagnosed by a healthcare professional).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Immune function across Chagga, Pare, and Maasai communities, assessed by whole blood cytokine production capacity in response to standardised stimuli, immune cell phenotyping by flow cytometry, and circulating inflammatory and cardiometabolic proteins measured by targeted proteomics (Olink platform). | — |
Secondary
| Measure | Time frame |
|---|---|
| Immunological and biological aging scores (ImmAge, inflammatory aging score, transcriptomic aging score, DNA methylation clocks: Horvath, Hannum, PhenoAge, GrimAge; organ aging score), and their correlation with chronological age across ethnic groups.;Genetic variation associated with immune function and immune aging, assessed by genome-wide SNP array, telomere length, DNA methylation, and chromatin accessibility profiles;Association between dietary practices and lifestyle factors (physical activity, urbanisation status) and immune function, inflammometabolic profiles, and immune aging.;Gut microbiome composition (bacterial and fungal, by 16S rRNA and ITS sequencing) and its association with immune function and aging outcomes.;Transcriptional and epigenetic profiles of hematopoietic stem and progenitor cells (scRNA-seq and scATAC-seq) in a subset of participants, stratified by age and ethnicity. | — |
Countries
Tanzania
Contacts
Public ContactGodfrey Temba
PhD Senior Lecturer and Researcher Nutritional Immunology KCMC University
Outcome results
None listed