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Microbiota control immune regulation in humanized mice
Elke Gülden, Nalini K. Vudattu, Songyan Deng, Paula Preston-Hurlburt, Mark Mamula, James C. Reed, Sindhu Mohandas, Betsy C. Herold, Richard Torres, Silvio M. Vieira, Bentley Lim, Jose D. Herazo-Maya, Martin Kriegel, Andrew L. Goodman, Chris Cotsapas, Kevan C. Herold
Elke Gülden, Nalini K. Vudattu, Songyan Deng, Paula Preston-Hurlburt, Mark Mamula, James C. Reed, Sindhu Mohandas, Betsy C. Herold, Richard Torres, Silvio M. Vieira, Bentley Lim, Jose D. Herazo-Maya, Martin Kriegel, Andrew L. Goodman, Chris Cotsapas, Kevan C. Herold
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Research Article Immunology

Microbiota control immune regulation in humanized mice

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Abstract

The microbiome affects development and activity of the immune system, and may modulate immune therapies, but there is little direct information about this control in vivo. We studied how the microbiome affects regulation of human immune cells in humanized mice. When humanized mice were treated with a cocktail of 4 antibiotics, there was an increase in the frequency of effector T cells in the gut wall, circulating levels of IFN-γ, and appearance of anti-nuclear antibodies. Teplizumab, a non–FcR-binding anti-CD3ε antibody, no longer delayed xenograft rejection. An increase in CD8+ central memory cells and IL-10, markers of efficacy of teplizumab, were not induced. IL-10 levels were only decreased when the mice were treated with all 4 but not individual antibiotics. Antibiotic treatment affected CD11b+CD11c+ cells, which produced less IL-10 and IL-27, and showed increased expression of CD86 and activation of T cells when cocultured with T cells and teplizumab. Soluble products in the pellets appeared to be responsible for the reduced IL-27 expression in DCs. Similar changes in IL-10 induction were seen when human peripheral blood mononuclear cells were cultured with human stool samples. We conclude that changes in the microbiome may impact the efficacy of immunosuppressive medications by altering immune regulatory pathways.

Authors

Elke Gülden, Nalini K. Vudattu, Songyan Deng, Paula Preston-Hurlburt, Mark Mamula, James C. Reed, Sindhu Mohandas, Betsy C. Herold, Richard Torres, Silvio M. Vieira, Bentley Lim, Jose D. Herazo-Maya, Martin Kriegel, Andrew L. Goodman, Chris Cotsapas, Kevan C. Herold

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Figure 5

Effects of antibiotic treatment on peripheral cells.

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Effects of antibiotic treatment on peripheral cells.
(A) The expression ...
(A) The expression of CD127 was measured on CD2+ cells in the mesenteric lymph nodes (MLNs) in mice treated with hIg or teplizumab in the presence or absence of antibiotics (Abx). In hIg- and antibiotic-treated mice, CD127 expression was reduced compared with mice that had not been treated with antibiotics (†P = 0.016). The MFI was significantly reduced after teplizumab in mice that had not received antibiotics (*P = 0.02) but not in the mice treated with antibiotics (n = 3–4 mice/group). (B) There was an interactive effect of antibiotic treatment on the frequency of CD8CM in the mesenteric lymph nodes after teplizumab treatment (*P = 0.035). The frequency increased in mice that received teplizumab without antibiotics (†P = 0.049) but not in mice that received antibiotics (n = 3–4 mice/group), and was higher than in mice treated with teplizumab and antibiotics (P = 0.035). (C and D) The frequency of IL-2–producing CD4+ and CD8+ T cells in the spleen was analyzed by flow cytometry following stimulation with PMA/ionomycin for 6 hours, 18 hours following treatment with teplizumab or hIg (n = 10 per group). There was a significant effect of antibiotic treatment on the frequency of IL-2+ CD4+ and CD8+ T cells. *P = 0.03, **P = 0.006, 2-way ANOVA. (E) p-STAT5 was increased in the CD8+ splenocytes from mice treated with antibiotics and anti-CD3 mAb compared with mice that received anti-CD3 mAb without antibiotics (*P = 0.02, 2-way ANOVA; each symbol represents 1 mouse). (F) Representative histograms from a mouse treated with teplizumab alone or teplizumab plus antibiotics are shown (red = isotype control, blue = p-STAT5 staining without IL-2, green = p-STAT5 staining with IL-2). Statistical significance in all panels was determined by multiple comparison from 2-way ANOVA.

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