bioRxivSystems BiologyPreprint
Bridging immunotypes and enterotypes using a systems immunology approach
Fabio AffaticatiiD, My Kieu HaiD, Thies GehrmanniD, Ilke De BoeckiD, Maria S. KuznetsovaiD, Romi VandoreniD, Vincent M.L. Van DeureniD, Hilde JansensiD, Hans De ReuiD, Jolien Schippers, Karin Peeters, Esther BartholomeusiD, Sabrina H. van IersseliD, Samuel CoeneniD, Reinout NaesensiD, Kevin K. AriëniD, Koen VercautereniD, Erika VliegheiD, Philippe BeutelsiD, Pierre Van DammeiD, Herman GoossensiD, Eva LioniD, Arvid SulsiD, Sarah LebeeriD, Kris LaukensiD, , Benson OgunjimiiD
Abstract
Unveiling the systemic effects of disease and health requires an holistic approach that has mainly revolved around well established, directly determinable molecular relationships such as the protein synthesis cascade and epigenetic mechanisms. In this study, involving 394 individuals, we found direct linkage of branches spanning human biological functions often not studied in conjunction, using clinical data, gut microbial abundances, blood immune cell repertoires, blood transcriptomic and blood T cell receptor data. Contrary to current paradigms, we demonstrate that immunotypes and enterotypes are orthogonal, likely fulfilling distinct roles in maintaining homeostasis, only bridged via the blood transcriptome. We also identified two distinct inflammatory profiles: the first driven by interferon signalling and the other characterised by non-viral, NF-kB and IL-6 markers. Lastly, we present compelling data showing strong associations of the Ruminococcaceae and Christensenellaceae bacteria with a healthy immunotype and transcriptomic pattern, highlighting their potential role in immune health. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=194 HEIGHT=200 SRC="FIGDIR/small/625344v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@c6b5eorg.highwire.dtl.DTLVardef@15d0c3forg.highwire.dtl.DTLVardef@1cf29eeorg.highwire.dtl.DTLVardef@1c9ff8d_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: bulk RNA-seq
- assay: metagenomics
- assay: proteomics
- assay: imaging
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 5
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