c-Maf controls immune responses by regulating disease-specific gene networks and repressing IL-2 in CD4+ T cells

Colorectal cancer (CRC) is influenced by infiltration of immune cell populations in the tumor microenvironment. While elevated levels of cytotoxic T cells are associated with improved prognosis, limited studies have reported associations between CD4+ T cells and disease outcomes. We recently performed transcriptomic profiling and comparative analyses of sorted CD4+ and CD8+ tumor-infiltrating lymphocytes (TILs) from bulk tumors of CRC patients with varying disease stages. In this study, we compared the transcriptomes of CD4+ with CD8+ TILs. Functional annotation pathway analyses revealed the downregulation of inflammatory response-related genes, while T cell activation and angiogenesis-related genes were upregulated in CD4+ TILs. The top 200 deregulated genes in CD4+ TILs were aligned with the cancer genome atlas (TCGA) CRC dataset to identify a unique gene signature associated with poor prognosis. Moreover, 69 upregulated and 20 downregulated genes showed similar trends of up/downregulation in the TCGA dataset and were used to calculate “poor prognosis score” (ppScore), which was significantly associated with disease-specific survival. High ppScore patients showed lower expression of Treg-, Th1-, and Th17-related genes, and higher expression of Th2-related genes. Our data highlight the significance of T cells within the TME and identify a unique candidate prognostic gene signature for CD4+ TILs in CRC patients.

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Abstract 1487: Cytotoxic CD4+ T cells contribute to anti-tumor immune responses in NSCLC

10.1158/1538-7445.am2021-1487 ◽

2021 ◽

Author(s):

Denise Lau ◽

Sonal Khare ◽

Derek Reiman ◽

Tim Rand ◽

Ameen A. Salahudeen ◽

...

Keyword(s):

T Cells ◽

Immune Responses ◽

Cd4 T Cells

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The effect of Kefir on The Immune Response of Healthy Volunteers In Vitro

Journal of Agromedicine and Medical Sciences ◽

10.19184/ams.v3i2.5067 ◽

2017 ◽

Vol 3 (2) ◽

pp. 28

Author(s):

Desie Dwi Wisudanti

Keyword(s):

Immune Response ◽

T Cells ◽

Immune Responses ◽

Healthy Volunteers ◽

Cd8 T Cells ◽

Cd4 T Cells ◽

Fermented Milk ◽

Bioactive Components ◽

Ifn Γ

Kefir is a functional foodstuff of probiotics, made from fermented milk with kefir grains containing various types of beneficial bacteria and yeast. There have been many studies on the effects of oral kefir on the immune system, but few studies have shown the effect of bioactive components from kefir (peptides and exopolysaccharides/ kefiran), on immune responses. The purpose of this study was to prove the effect of kefir supernatant from milk goat on healthy immune volunteer response in vitro. The study was conducted on 15 healthy volunteers, then isolated PBMC from whole blood, then divided into 5 groups (K-, P1, P2, P3 and P4) before culture was done for 4 days. The harvested cells from culture were examined for the percentage of CD4+ T cells, CD8+ T cells, IFN-γ, IL-4 using flowsitometry and IL-2 levels, IL-10 using the ELISA method. The results obtained that kefir do not affect the percentage of CD4+ T cells and CD8+ T cells. The higher the concentration of kefir given, the higher levels of secreted IFN- γ and IL-4, but a decrease in IL-2 levels. Significant enhancement occurred at levels of IL-10 culture PBMC given kefir with various concentrations (p <0.01), especially at concentrations of 1%. These results also show the important effects of kefir bioactive components on immune responses. The conclusion of this study is that kefir can improve the immune response, through stimulation of IL-10 secretion in vitro.

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Expanded circulating follicular dendritic cells facilitate immune responses in chronic HBV infection

10.21203/rs.3.rs-52170/v3 ◽

2020 ◽

Author(s):

Xiaoyi Li ◽

Qifan Zhang ◽

Wanyue Zhang ◽

Guofu Ye ◽

Yanchen Ma ◽

...

Keyword(s):

T Cells ◽

Dendritic Cells ◽

B Cells ◽

Hepatitis B ◽

Immune Responses ◽

Cd4 T Cells ◽

Hbv Infection ◽

Follicular Dendritic Cells ◽

Chronic Hbv Infection ◽

Chronic Hbv

Abstract Background: The restoration of host hepatitis B virus (HBV)-specific antiviral immunity is an effective strategy for hepatitis B recovery. Follicular dendritic cells (FDCs) play a crucial role in immune regulation. The goal of the present study was to investigate the characteristics and functions of FDCs in chronic HBV infection. Methods: The frequencies of FDCs in peripheral blood, liver, and spleen were measured in patients with chronic HBV infection. Isolated FDCs from splenic tissues of HBV-related liver cirrhosis-induced hypersplenism patients were cultured with autologous intrasplenic CD4 + T cells and CD19 + B cells.Results: We found that patients with chronic HBV infection had a significantly increased frequency of circulating FDCs compared with that of healthy controls. Additionally, the frequency of circulating FDCs was positively correlated with that of intrahepatic and intrasplenic counterparts. Moreover, a positive correlation between the frequency of circulating FDCs and plasmablast and memory B cells, as well as C-X-C motif chemokine receptor type 5 (CXCR5) + CD4 + T cells and CXCR5 + CD8 + T cells was also observed. Notably, in vitro experiments demonstrated that FDCs derived from splenic tissues of chronic HBV patients facilitated interferon-γ and interleukin-21 production from autologous intrasplenic CD4 + T cells and promoted the proliferation of autologous intrasplenic CD19 + B cells. Conclusions: Expanded FDCs in patients with chronic HBV infection may favor the host immune responses against HBV. The identification of this unique population may contribute to a better understanding of the immune regulatory mechanisms and provide a potential immunotherapeutic target in chronic HBV infection.

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NOGEA: Network-Oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning

10.1101/2020.04.01.019901 ◽

2020 ◽

Author(s):

Zihu Guo ◽

Yingxue Fu ◽

Chao Huang ◽

Chunli Zheng ◽

Ziyin Wu ◽

...

Keyword(s):

Gene Networks ◽

Drug Repositioning ◽

High Reliability ◽

Rapid Development ◽

Small Neighborhood ◽

Specific Gene ◽

Master Genes ◽

Disease Initiation ◽

Disease Specific

AbstractRapid development of high-throughput technologies has permitted the identification of an increasing number of disease-associated genes (DAGs), which are important for understanding disease initiation and developing precision therapeutics. However, DAGs often contain large amounts of redundant or false positive information, leading to difficulties in quantifying and prioritizing potential relationships between these DAGs and human diseases. In this study, a network-oriented gene entropy approach (NOGEA) is proposed for accurately inferring master genes that contribute to specific diseases by quantitatively calculating their perturbation abilities on directed disease-specific gene networks. In addition, we confirmed that the master genes identified by NOGEA have a high reliability for predicting disease-specific initiation events and progression risk. Master genes may also be used to extract the underlying information of different diseases, thus revealing mechanisms of disease comorbidity. More importantly, approved therapeutic targets are topologically localized in a small neighborhood of master genes on the interactome network, which provides a new way for predicting new drug-disease associations. Through this method, 11 old drugs were newly identified and predicted to be effective for treating pancreatic cancer and then validated by in vitro experiments. Collectively, the NOGEA was useful for identifying master genes that control disease initiation and co-occurrence, thus providing a valuable strategy for drug efficacy screening and repositioning. NOGEA codes are publicly available at https://github.com/guozihuaa/NOGEA.

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