Your browser doesn't support javascript.
loading
Early Signs of Gut Microbiome Aging: Biomarkers of Inflammation, Metabolism, and Macromolecular Damage in Young Adulthood.
Renson, Audrey; Mullan Harris, Kathleen; Dowd, Jennifer B; Gaydosh, Lauren; McQueen, Matthew B; Krauter, Kenneth S; Shannahan, Michael; Aiello, Allison E.
Afiliación
  • Renson A; Department of Epidemiology, The Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
  • Mullan Harris K; Department of Sociology and Carolina Population Center, University of North Carolina at Chapel Hill.
  • Dowd JB; Leverhulme Centre for Demographic Science, University of Oxford, UK.
  • Gaydosh L; Center for Medicine, Health, and Society, Vanderbilt University, Nashville, Tennessee.
  • McQueen MB; Department of Integrative Physiology, University of Colorado Boulder.
  • Krauter KS; Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder.
  • Shannahan M; Institute of Sociology, University of Zurich, Switzerland.
  • Aiello AE; Department of Epidemiology, The Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
J Gerontol A Biol Sci Med Sci ; 75(7): 1258-1266, 2020 06 18.
Article en En | MEDLINE | ID: mdl-32421783
ABSTRACT
Emerging links between gut microbiota and diseases of aging point to possible shared immune, metabolic, and cellular damage mechanisms, operating long before diseases manifest. We conducted 16S rRNA sequencing of fecal samples collected from a subsample (n = 668) of Add Health Wave V, a nationally representative longitudinal study of adults aged 32-42. An overlapping subsample (n = 345) included whole-blood RNA-seq. We examined associations between fecal taxonomic abundances and dried blood spot-based markers of lipid and glucose homeostasis and C-reactive protein (measured in Wave IV), as well as gene expression markers of inflammation, cellular damage, immune cell composition, and transcriptomic age (measured in Wave V), using Bayesian hierarchical models adjusted for potential confounders. We additionally estimated a co-abundance network between inflammation-related genes and bacterial taxa using penalized Gaussian graphical models. Strong and consistent microbiota associations emerged for HbA1c, glucose, C-reactive protein, and principal components of genes upregulated in inflammation, DNA repair, and reactive oxygen species, with Streptococcus infantis, Pseudomonas spp., and Peptoniphilus as major players for each. This pattern was largely echoed (though attenuated) for immunological cell composition gene sets, and only Serratia varied meaningfully by transcriptomic age. Network co-abundance indicated relationships between Prevotella sp., Bacteroides sp., and Ruminococcus sp. and gut immune/metabolic regulatory activity, and Ruminococcus sp, Dialister, and Butyrivibrio crossotus with balance between Th1 and Th2 inflammation. In conclusion, many common associations between microbiota and major physiologic aging mechanisms are evident in early-mid adulthood and suggest avenues for early detection and prevention of accelerated aging.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_zoonosis Asunto principal: Envejecimiento / Microbioma Gastrointestinal Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: J Gerontol A Biol Sci Med Sci Asunto de la revista: GERIATRIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_zoonosis Asunto principal: Envejecimiento / Microbioma Gastrointestinal Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: J Gerontol A Biol Sci Med Sci Asunto de la revista: GERIATRIA Año: 2020 Tipo del documento: Article
...