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Microanatomical dissection of human intestinal T-cell immunity reveals site-specific changes in gut-associated lymphoid tissues over life

Defining adaptive immunity with the complex structures of the human gastrointestinal (GI) tract over life, is essential for understanding immune responses to ingested antigens, commensal and pathogenic microorganisms, and dysfunctions in disease. We present here an analysis of lymphocyte localizatio...

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Detalles Bibliográficos
Autores principales: Senda, Takashi, Dogra, Pranay, Granot, Tomer, Furuhashi, Kazuhiro, Snyder, Mark E, Carpenter, Dustin J., Szabo, Peter A, Thapa, Puspa, Miron, Michelle, Farber, Donna L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375790/
https://www.ncbi.nlm.nih.gov/pubmed/30523311
http://dx.doi.org/10.1038/s41385-018-0110-8
Descripción
Sumario:Defining adaptive immunity with the complex structures of the human gastrointestinal (GI) tract over life, is essential for understanding immune responses to ingested antigens, commensal and pathogenic microorganisms, and dysfunctions in disease. We present here an analysis of lymphocyte localization and T cell subset composition across the human GI tract including mucosal sites (jejunum, ileum, colon), gut-associated lymphoid tissues (isolated lymphoid follicles (ILFs), Peyer’s patches (PPs), appendix) and mesenteric lymph nodes (MLNs) from a total of 68 donors spanning 8 decades of life. In pediatric donors, ILFs and PP containing naïve T cells and regulatory T cells (Tregs) are prevalent in jejunum and ileum, respectively; these decline in frequency with age, contrasting stable frequencies of ILFs and T cell subsets in the colon. In the mucosa, tissue resident memory T cells develop during childhood, and persist in high frequencies into advanced ages, while T cell composition changes with age in GALT and MLN. These spatial and temporal features of human intestinal T cell immunity define signatures that can be used to train predictive machine learning algorithms. Our findings demonstrate an anatomic basis for age-associated alterations in immune responses, and establish a quantitative baseline for intestinal immunity to define disease pathologies.