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Published on: April 17, 2018
Cohort profile: the Food Chain Plus (FoCus) cohort
Corinna Geisler1, Kristina Schlicht1, Carina Knappe1
1Institute of Diabetes and Clinical Metabolic Research, University Medical Center Schleswig-Holstein, Kiel University, Düsternbrooker Weg 17, 24105, Kiel, Germany.
The Food Chain Plus (FoCus) cohort study investigates metabolic inflammation using multi-omics data from a Northern German population. It aims to comprehensively characterize this pathology and its links to conditions like type 2 diabetes.
Area of Science:
- Metabolic research
- Population health
- Multi-omics
Background:
- Metabolic inflammation is a novel pathology requiring comprehensive characterization.
- The Food Chain Plus (FoCus) cohort was established in 2011 in Northern Germany to address this research gap.
- The cohort combines population-based and metabolic inflammation-focused recruitment strategies.
Purpose of the Study:
- To comprehensively characterize metabolic inflammation through multi-omics data.
- To investigate the prevalence and risk factors associated with metabolic inflammation in a defined population.
- To establish a longitudinal study for tracking disease progression and phenotype changes.
Main Methods:
- Recruited 1795 individuals from the Kiel region, Northern Germany, using a two-step approach.
- Collected extensive data including phenomics, microbiomics, metabolomics, genomics, metagenomics, nutrition, taste perception, and social network analysis.
- Conducted baseline data collection between 2011-2014, with a first follow-up in 2020 involving 820 subjects.
Main Results:
- The baseline cohort (2011-2014) comprised 1795 individuals (63% female, median age 52.0 years, median BMI 27.7 kg/m²).
- 14.1% of participants had type 2 diabetes mellitus at baseline.
- Type 2 diabetes was significantly more prevalent in the metabolic inflammation group (31.8%).
Conclusions:
- The FoCus cohort provides a rich, multi-omics dataset for studying metabolic inflammation in a Northern German population.
- Findings highlight the increased prevalence of type 2 diabetes in individuals with metabolic inflammation.
- The study is designed for longitudinal analysis to understand disease progression and related factors.
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