Gut Microbial Membership Modulates CD4 T Cell Reconstitution and Function after Sepsis.
Javier Cabrera-PerezJeffrey C BabcockThamotharampillai DileepanKatherine A MurphyTamara A KucabaVladimir P BadovinacThomas S GriffithPublished in: Journal of immunology (Baltimore, Md. : 1950) (2016)
Transient lymphopenia is one hallmark of sepsis, and emergent data indicate the CD4 T cell compartment in sepsis survivors is numerically and functionally altered (when examined at the Ag-specific level) compared with nonseptic control subjects. Previous data from our laboratory demonstrated Ag-independent, lymphopenia-induced homeostatic proliferation to be a contributing mechanism by which CD4 T cells numerically recover in sepsis survivors. However, we reasoned it is also formally possible that some CD4 T cells respond directly to Ag expressed by gut-resident microbes released during polymicrobial sepsis. The effect of gut microbiome leakage on CD4 T cells is currently unknown. In this study, we explored the number and function of endogenous CD4 T cells specific for segmented filamentous bacterium (SFB) after cecal ligation and puncture (CLP)-induced sepsis using mice that either contained or lacked SFB as a normal gut-resident microbe. Interestingly, SFB-specific CD4 T cells underwent Ag-driven proliferation in CLP-treated SFB(+), but not in SFB(-), mice. Moreover, CLP-treated SFB(+) mice showed resistance to secondary lethal infection with recombinant SFB Ag-expressing virulent Listeria (but not wild-type virulent Listeria), suggesting the CLP-induced polymicrobial sepsis primed for a protective response by the SFB-specific CD4 T cells. Thus, our data demonstrate that the numerical recovery and functional responsiveness of Ag-specific CD4 T cells in sepsis survivors is, in part, modulated by the intestinal barrier's health discreetly defined by individual bacterial populations of the host's microbiome.
Keyphrases
- septic shock
- acute kidney injury
- intensive care unit
- quantum dots
- wild type
- young adults
- healthcare
- high glucose
- big data
- high fat diet induced
- highly efficient
- public health
- type diabetes
- patient safety
- diabetic rats
- signaling pathway
- endothelial cells
- visible light
- machine learning
- metabolic syndrome
- risk assessment
- ultrasound guided
- quality improvement
- blood brain barrier
- social media
- data analysis
- deep learning
- oxidative stress
- insulin resistance