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Longitudinal multi-omics of host-microbe dynamics in prediabetes.
Zhou, Wenyu; Sailani, M Reza; Contrepois, Kévin; Zhou, Yanjiao; Ahadi, Sara; Leopold, Shana R; Zhang, Martin J; Rao, Varsha; Avina, Monika; Mishra, Tejaswini; Johnson, Jethro; Lee-McMullen, Brittany; Chen, Songjie; Metwally, Ahmed A; Tran, Thi Dong Binh; Nguyen, Hoan; Zhou, Xin; Albright, Brandon; Hong, Bo-Young; Petersen, Lauren; Bautista, Eddy; Hanson, Blake; Chen, Lei; Spakowicz, Daniel; Bahmani, Amir; Salins, Denis; Leopold, Benjamin; Ashland, Melanie; Dagan-Rosenfeld, Orit; Rego, Shannon; Limcaoco, Patricia; Colbert, Elizabeth; Allister, Candice; Perelman, Dalia; Craig, Colleen; Wei, Eric; Chaib, Hassan; Hornburg, Daniel; Dunn, Jessilyn; Liang, Liang; Rose, Sophia Miryam Schüssler-Fiorenza; Kukurba, Kim; Piening, Brian; Rost, Hannes; Tse, David; McLaughlin, Tracey; Sodergren, Erica; Weinstock, George M; Snyder, Michael.
Afiliación
  • Zhou W; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Sailani MR; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Contrepois K; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhou Y; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Ahadi S; Department of Medicine, UConn Health, Farmington, CT, USA.
  • Leopold SR; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhang MJ; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Rao V; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
  • Avina M; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Mishra T; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Johnson J; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Lee-McMullen B; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Chen S; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Metwally AA; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Tran TDB; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Nguyen H; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Zhou X; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Albright B; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Hong BY; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Petersen L; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Bautista E; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Hanson B; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Chen L; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Spakowicz D; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Bahmani A; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Salins D; Stanford Center for Genomics and Personalized Medicine, Stanford, CA, USA.
  • Leopold B; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Ashland M; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Dagan-Rosenfeld O; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Rego S; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Limcaoco P; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Colbert E; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Allister C; Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA.
  • Perelman D; Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA.
  • Craig C; Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA.
  • Wei E; Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA.
  • Chaib H; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Hornburg D; Stanford Center for Genomics and Personalized Medicine, Stanford, CA, USA.
  • Dunn J; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Liang L; Stanford Center for Genomics and Personalized Medicine, Stanford, CA, USA.
  • Rose SMS; Stanford Diabetes Research Center, Stanford, CA, USA.
  • Kukurba K; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Piening B; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Rost H; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Tse D; Spinal Cord Injury Service, Veteran Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • McLaughlin T; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Sodergren E; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Weinstock GM; Earle A Chiles Research Institute, Providence Cancer Center, Portland, OR, USA.
  • Snyder M; Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, Ontario, Canada.
Nature ; 569(7758): 663-671, 2019 05.
Article en En | MEDLINE | ID: mdl-31142858
ABSTRACT
Type 2 diabetes mellitus (T2D) is a growing health problem, but little is known about its early disease stages, its effects on biological processes or the transition to clinical T2D. To understand the earliest stages of T2D better, we obtained samples from 106 healthy individuals and individuals with prediabetes over approximately four years and performed deep profiling of transcriptomes, metabolomes, cytokines, and proteomes, as well as changes in the microbiome. This rich longitudinal data set revealed many insights first, healthy profiles are distinct among individuals while displaying diverse patterns of intra- and/or inter-personal variability. Second, extensive host and microbial changes occur during respiratory viral infections and immunization, and immunization triggers potentially protective responses that are distinct from responses to respiratory viral infections. Moreover, during respiratory viral infections, insulin-resistant participants respond differently than insulin-sensitive participants. Third, global co-association analyses among the thousands of profiled molecules reveal specific host-microbe interactions that differ between insulin-resistant and insulin-sensitive individuals. Last, we identified early personal molecular signatures in one individual that preceded the onset of T2D, including the inflammation markers interleukin-1 receptor agonist (IL-1RA) and high-sensitivity C-reactive protein (CRP) paired with xenobiotic-induced immune signalling. Our study reveals insights into pathways and responses that differ between glucose-dysregulated and healthy individuals during health and disease and provides an open-access data resource to enable further research into healthy, prediabetic and T2D states.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estado Prediabético / Biomarcadores / Biología Computacional / Proteoma / Diabetes Mellitus Tipo 2 / Transcriptoma / Microbioma Gastrointestinal / Interacciones Microbiota-Huesped Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nature Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estado Prediabético / Biomarcadores / Biología Computacional / Proteoma / Diabetes Mellitus Tipo 2 / Transcriptoma / Microbioma Gastrointestinal / Interacciones Microbiota-Huesped Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nature Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos