Semaphorin 3E Protects against Chlamydial Infection by Modulating Dendritic Cell Functions.
Rony ThomasShuhe WangSudhanshu ShekharYing PengSai QiaoChunyan ZhangLianyu ShanHesam MovassaghAbdelilah S GounniJie YangXi YangPublished in: Journal of immunology (Baltimore, Md. : 1950) (2021)
Recent studies have identified semaphorin 3E (Sema3E) as a novel mediator of immune responses. However, its function in immunity to infection has yet to be investigated. Using a mouse model of chlamydial lung infection, we show that Sema3E plays a significant role in the host immune response to the infection. We found that Sema3E is induced in the lung after chlamydial infection, and Sema3E deficiency has a detrimental impact on disease course, dendritic cell (DC) function, and T cell responses. Specifically, we found that Sema3E knockout (KO) mice exhibited higher bacterial burden, severe body weight loss, and pathological changes after Chlamydia muridarum lung infection compared with wild-type (WT) mice. The severity of disease in Sema3E KO mice was correlated with reduced Th1/Th17 cytokine responses, increased Th2 response, altered Ab response, and a higher number of regulatory CD4 T cells. Moreover, DCs isolated from Sema3E KO mice showed lower surface expression of costimulatory molecules and production of IL-12, but higher expression of PD-L1, PD-L2, and IL-10 production. Functional DC-T cell coculture studies revealed that DCs from infected Sema3E KO mice failed to induce Th1 and Th17 cell responses compared with DCs from infected WT mice. Upon adoptive transfer, mice receiving DCs from Sema3E KO mice, unlike those receiving DCs from WT mice, were not protected against challenge infection. In conclusion, our data evidenced that Sema3E acts as a critical factor for protective immunity against intracellular bacterial infection by modulating DC functions and T cell subsets.
Keyphrases
- wild type
- high fat diet induced
- dendritic cells
- immune response
- mouse model
- high resolution
- poor prognosis
- type diabetes
- adipose tissue
- insulin resistance
- single cell
- electronic health record
- mass spectrometry
- mesenchymal stem cells
- reactive oxygen species
- cell therapy
- machine learning
- deep learning
- endothelial cells
- case control