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Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health.
Marabita, Francesco; James, Tojo; Karhu, Anu; Virtanen, Heidi; Kettunen, Kaisa; Stenlund, Hans; Boulund, Fredrik; Hellström, Cecilia; Neiman, Maja; Mills, Robert; Perheentupa, Teemu; Laivuori, Hannele; Helkkula, Pyry; Byrne, Myles; Jokinen, Ilkka; Honko, Harri; Kallonen, Antti; Ermes, Miikka; Similä, Heidi; Lindholm, Mikko; Widén, Elisabeth; Ripatti, Samuli; Perälä-Heape, Maritta; Engstrand, Lars; Nilsson, Peter; Moritz, Thomas; Miettinen, Timo; Sallinen, Riitta; Kallioniemi, Olli.
Afiliação
  • Marabita F; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17165, Sweden. Electronic address: francesco.marabita@ki.se.
  • James T; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17165, Sweden.
  • Karhu A; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Virtanen H; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Kettunen K; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; HUS Diagnostic Center, Division of Genetics and Clinical Pharmacology Laboratory of Genetics, University of Helsinki and Helsinki University Hospital, Helsinki 00029, Finland.
  • Stenlund H; Science for Life Laboratory, Swedish Metabolomics Centre, Department of Plant Physiology, Umeå University, 90187 Umeå, Sweden.
  • Boulund F; Science for Life Laboratory, Center for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17165, Sweden.
  • Hellström C; Science for Life Laboratory, Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Stockholm 17165, Sweden.
  • Neiman M; Science for Life Laboratory, Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Stockholm 17165, Sweden.
  • Mills R; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Perheentupa T; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Laivuori H; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki 00029, Finland; Department of Obstetrics and Gynecology, Tampere University Hospital and Tampere
  • Helkkula P; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Byrne M; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Jokinen I; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Honko H; Faculty of Medicine and Health Technology, Tampere University, Tampere 33521, Finland.
  • Kallonen A; Faculty of Medicine and Health Technology, Tampere University, Tampere 33521, Finland.
  • Ermes M; VTT Technical Research Centre of Finland, Espoo 02044, Finland.
  • Similä H; VTT Technical Research Centre of Finland, Espoo 02044, Finland.
  • Lindholm M; VTT Technical Research Centre of Finland, Espoo 02044, Finland.
  • Widén E; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Ripatti S; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; Public Health, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Perälä-Heape M; Faculty of Medicine, University of Oulu, Oulu 90014, Finland; Centre for Health and Technology, University of Oulu, Oulu 90220, Finland.
  • Engstrand L; Science for Life Laboratory, Center for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17165, Sweden.
  • Nilsson P; Science for Life Laboratory, Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Stockholm 17165, Sweden.
  • Moritz T; Science for Life Laboratory, Swedish Metabolomics Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå 90187, Sweden; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen
  • Miettinen T; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland.
  • Sallinen R; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17165, Sweden.
  • Kallioniemi O; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland; Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17165, Sweden. Electronic address: olli.kallioniemi@ki.se.
Cell Syst ; 13(3): 241-255.e7, 2022 03 16.
Article em En | MEDLINE | ID: mdl-34856119
We explored opportunities for personalized and predictive health care by collecting serial clinical measurements, health surveys, genomics, proteomics, autoantibodies, metabolomics, and gut microbiome data from 96 individuals who participated in a data-driven health coaching program over a 16-month period with continuous digital monitoring of activity and sleep. We generated a resource of >20,000 biological samples from this study and a compendium of >53 million primary data points for 558,032 distinct features. Multiomics factor analysis revealed distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet, and hormonal effects. For example, ethinyl estradiol, a common oral contraceptive, produced characteristic molecular and physiological effects, including increased levels of inflammation and impact on thyroid, cortisol levels, and pulse, that were distinct from other sources of variability observed in our study. In total, this work illustrates the value of combining deep molecular and digital monitoring of human health. A record of this paper's transparent peer review process is included in the supplemental information.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article