Literature DB >> 36245062

Cohort profile: the Food Chain Plus (FoCus) cohort.

Corinna Geisler1, Kristina Schlicht1, Carina Knappe1, Nathalie Rohmann1, Katharina Hartmann1, Kathrin Türk1, Ute Settgast2, Dominik M Schulte1,2, Tobias Demetrowitsch3, Julia Jensen-Kroll3, Alina Pisarevskaja3, Fynn Brix3, Bärbel Gruber3, Gerald Rimbach4, Frank Döring5, Philip Rosenstiel6, Andre Franke6, Stefan Schreiber2,6, Christian H C A Henning7, Wolfgang Lieb8, Ute Nöthlings9, Karin Schwarz3, Matthias Laudes10,11.   

Abstract

The Food Chain Plus (FoCus) cohort was launched in 2011 for population-based research related to metabolic inflammation. To characterize this novel pathology in a comprehensive manner, data collection included multiple omics layers such as phenomics, microbiomics, metabolomics, genomics, and metagenomics as well as nutrition profiling, taste perception phenotyping and social network analysis. The cohort was set-up to represent a Northern German population of the Kiel region. Two-step recruitment included the randomised enrolment of participants via residents' registration offices and via the Obesity Outpatient Centre of the University Medical Center Schleswig-Holstein (UKSH). Hence, both a population- and metabolic inflammation- based cohort was created. In total, 1795 individuals were analysed at baseline. Baseline data collection took place between 2011 and 2014, including 63% females and 37% males with an age range of 18-83 years. The median age of all participants was 52.0 years [IQR: 42.5; 63.0 years] and the median baseline BMI in the study population was 27.7 kg/m2 [IQR: 23.7; 35.9 kg/m2]. In the baseline cohort, 14.1% of participants had type 2 diabetes mellitus, which was more prevalent in the subjects of the metabolic inflammation group (MIG; 31.8%). Follow-up for the assessment of disease progression, as well as the onset of new diseases with changes in subject's phenotype, diet or lifestyle factors is planned every 5 years. The first follow-up period was finished in 2020 and included 820 subjects.
© 2022. The Author(s).

Entities:  

Keywords:  Cohort; Disease progression; Longitudinal; Metabolic inflammation

Year:  2022        PMID: 36245062     DOI: 10.1007/s10654-022-00924-y

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   12.434


  40 in total

1.  Decoding randomly ordered DNA arrays.

Authors:  Kevin L Gunderson; Semyon Kruglyak; Michael S Graige; Francisco Garcia; Bahram G Kermani; Chanfeng Zhao; Diping Che; Todd Dickinson; Eliza Wickham; Jim Bierle; Dennis Doucet; Monika Milewski; Robert Yang; Chris Siegmund; Juergen Haas; Lixin Zhou; Arnold Oliphant; Jian-Bing Fan; Steven Barnard; Mark S Chee
Journal:  Genome Res       Date:  2004-04-12       Impact factor: 9.043

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Review 3.  Inflammation, metaflammation and immunometabolic disorders.

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4.  [PopGen. A population-based biobank with prospective follow-up of a control group].

Authors:  U Nöthlings; M Krawczak
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5.  Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease.

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Journal:  N Engl J Med       Date:  2017-08-27       Impact factor: 91.245

6.  Epidemiology of vertically transmitted HIV-1 infection in Switzerland: results of a nationwide prospective study. Swiss Neonatal HIV Study Group.

Authors:  C Kind; B Brändle; C A Wyler; A Calame; C Rudin; U B Schaad; J Schüpbach; H P Senn; L Perrin; L Matter
Journal:  Eur J Pediatr       Date:  1992-06       Impact factor: 3.183

7.  Psoriasis and New-onset Depression: A Danish Nationwide Cohort Study.

Authors:  Peter Jensen; Ole Ahlehoff; Alexander Egeberg; Gunnar Gislason; Peter R Hansen; Lone Skov
Journal:  Acta Derm Venereol       Date:  2016-01       Impact factor: 4.437

8.  Interleukin-1-receptor antagonist in type 2 diabetes mellitus.

Authors:  Claus M Larsen; Mirjam Faulenbach; Allan Vaag; Aage Vølund; Jan A Ehses; Burkhardt Seifert; Thomas Mandrup-Poulsen; Marc Y Donath
Journal:  N Engl J Med       Date:  2007-04-12       Impact factor: 91.245

9.  Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms.

Authors:  J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; James Huntley; Noah Fierer; Sarah M Owens; Jason Betley; Louise Fraser; Markus Bauer; Niall Gormley; Jack A Gilbert; Geoff Smith; Rob Knight
Journal:  ISME J       Date:  2012-03-08       Impact factor: 10.302

10.  Beneficial Effects of a Dietary Weight Loss Intervention on Human Gut Microbiome Diversity and Metabolism Are Not Sustained during Weight Maintenance.

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Journal:  Obes Facts       Date:  2016-11-30       Impact factor: 3.942

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