Title |
Multi-omic signature of body weight change: results from a population-based cohort study
|
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Published in |
BMC Medicine, March 2015
|
DOI | 10.1186/s12916-015-0282-y |
Pubmed ID | |
Authors |
Simone Wahl, Susanne Vogt, Ferdinand Stückler, Jan Krumsiek, Jörg Bartel, Tim Kacprowski, Katharina Schramm, Maren Carstensen, Wolfgang Rathmann, Michael Roden, Carolin Jourdan, Antti J Kangas, Pasi Soininen, Mika Ala-Korpela, Ute Nöthlings, Heiner Boeing, Fabian J Theis, Christa Meisinger, Melanie Waldenberger, Karsten Suhre, Georg Homuth, Christian Gieger, Gabi Kastenmüller, Thomas Illig, Jakob Linseisen, Annette Peters, Holger Prokisch, Christian Herder, Barbara Thorand, Harald Grallert |
Abstract |
Excess body weight is a major risk factor for cardiometabolic diseases. The complex molecular mechanisms of body weight change-induced metabolic perturbations are not fully understood. Specifically, in-depth molecular characterization of long-term body weight change in the general population is lacking. Here, we pursued a multi-omic approach to comprehensively study metabolic consequences of body weight change during a seven-year follow-up in a large prospective study. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 20% |
United Kingdom | 3 | 15% |
Canada | 3 | 15% |
Netherlands | 2 | 10% |
Germany | 1 | 5% |
Finland | 1 | 5% |
Unknown | 6 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 75% |
Scientists | 4 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Netherlands | 1 | <1% |
Finland | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
Unknown | 153 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 21% |
Researcher | 31 | 20% |
Student > Master | 12 | 8% |
Student > Doctoral Student | 11 | 7% |
Student > Bachelor | 10 | 6% |
Other | 19 | 12% |
Unknown | 42 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 30 | 19% |
Agricultural and Biological Sciences | 26 | 16% |
Medicine and Dentistry | 25 | 16% |
Computer Science | 10 | 6% |
Nursing and Health Professions | 4 | 3% |
Other | 15 | 9% |
Unknown | 48 | 30% |