scholarly journals TNF-α inhibitor therapy can improve the immune imbalance of CD4+ T cells and negative regulatory cells but not CD8+ T cells in ankylosing spondylitis

2020 ◽  
Author(s):  
Mingcan Yang ◽  
Qing Lv ◽  
Qiujing Wei ◽  
Yutong Jiang ◽  
Jun Qi ◽  
...  
Keyword(s):  
T Cells ◽  
B Cells ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Cd4 T Cells ◽  
Effector Memory ◽  
Regulatory Cells ◽  
Regulatory B Cells ◽  
Tnf Α ◽  
Immune Imbalance

Abstract Background: Studies into ankylosing spondylitis (AS) and its relationship with immune function are controversial, and the correlation between the efficacy of TNF-α inhibitor and changes in immune function is unclear.Methods: A total of 40 immune cells were tested with flow cytometry, and the results of 105 HC (healthy control) subjects, 177 active-stage AS patients, and 23 AS cases before and after 12 weeks of TNF-α inhibitor therapy (Anbainuo) were analyzed.Results: Compared with the HC group, the proportion of immune cells, such as naïve and central memory CD4+T cells, in AS increased (p<0.0001), but effector memory and terminally differentiated CD4+T cells were decreased (p<0.01 and 0.0001, respectively). Naïve, central memory, and effector memory CD8+T cells were increased (p<0.0001, 0.001, and 0.01, respectively), but terminally differentiated CD8+T cells were decreased (p<0.0001). Th1 cells (helper T cells-1), Tfh1 cells (follicular helper T cells-1), Tc1 cells (cytotoxic T cells-1), and Tregs (regulatory T cells) were lower (p<0.01, 0.05, 0.0001, and 0.001, respectively), but Th17 cells, Tfh17 cells, and Tc cells were higher (p<0.001, 0.0001 and 0.001, respectively). The proportions of total B cells and class-switched B cells were increased (p<0.05), but non-switched B cells, plasma cells, memory B cells, and immature Bregs (regulatory B cells) were lower (p<0.01, 0.0001, 0.0001, and 0.0001, respectively). After Anbainuo therapy, the percentage of naïve CD4+ T cells had decreased (p<0.05) but Tregs and B10 cells (IL-10-producing regulatory B cells) had increased (p<0.01and 0.05, respectively), and the increase in Tregs was positively correlated with the decrease in CRP (C-reactive protein) (r= 0.489, p=0.018). Conclusions: We found that active-stage AS patients have an immunity imbalance involving multiple types of immune cells, including CD4+T cells, CD8+T cells, Th cells, Tfh cells, Tc cells, Tregs, Bregs, and B cells. TNF-α inhibitor Anbainuo can not only help to inhibit disease activity but can also improve the immune imbalance of CD4+ T cells and negative regulatory cells. But CD8 + T cells have not been rescued.

scholarly journals Immune dysfunction in ankylosing spondylitis (AS) and the potential of tumor necrosis factor-α (TNF-α) inhibitor Anbainuo as an effective treatment

2020 ◽  
Author(s):  
Mingcan Yang ◽  
Qing Lv ◽  
Qiujing Wei ◽  
Yutong Jiang ◽  
Jun Qi ◽  
...  
Keyword(s):  
T Cells ◽  
B Cells ◽  
Immune Function ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Cd4 T Cells ◽  
Helper T Cells ◽  
Effector Memory ◽  
Regulatory B Cells ◽  
Tnf Α

Abstract Background Studies into ankylosing spondylitis (AS) and its relationship with immune function are controversial, and the correlation between the efficacy of TNF-α inhibitor and changes in immune function is unclear. Methods A total of 40 immune cells were tested with flow cytometry, and the results of 105 HC (healthy control) subjects, 177 active-stage AS patients, and 23 AS cases before and after 12 weeks of Anbainuo therapy were analyzed. Results Compared with the HC group, the proportion of immune cells, such as naïve and central memory CD4+T cells, in AS increased (p<0.0001), but effector memory and terminally differentiated CD4+T cells were decreased (p<0.01 and 0.0001, respectively). Naïve, central memory, and effector memory CD8+T cells were increased (p<0.0001, 0.001, and 0.01, respectively), but terminally differentiated CD8+T cells were decreased (p<0.0001). Th1 cells (helper T cells-1), Tfh1 cells (follicular helper T cells-1), Tc1 cells (cytotoxic T cells-1), and Tregs (regulatory T cells) were lower (p<0.01, 0.05, 0.0001, and 0.001, respectively), but Th17 cells, Tfh17 cells, and Tc cells were higher (p<0.001, 0.0001 and 0.001, respectively). The proportions of total B cells and class-switched B cells were increased (p<0.05), but non-switched B cells, plasma cells, memory B cells, and immature Bregs (regulatory B cells) were lower (p<0.01, 0.0001, 0.0001, and 0.0001, respectively). After Anbainuo therapy, the percentage of Tregs and B10 cells (IL-10-producing regulatory B cells) had increased (p<0.01and 0.05, respectively), and the increase in Tregs was positively correlated with the decrease in CRP (C-reactive protein) (r= 0.489, p=0.018). Conclusions We found that, in terms of both innate and acquired immunity, active-stage AS patients have an immunity imbalance involving multiple types of immune cells, including CD4+T cells, CD8+T cells, Th cells, Tfh cells, Tc cells, Tregs, Bregs, and B cells. Anbainuo can not only help to inhibit disease activity and partial immune function imbalance in AS but can also increase the number of negative regulatory cells in inflammation.

scholarly journals AB0049 IMMUNE DYSFUNCTION IN ANKYLOSING SPONDYLITIS (AS) AND THE POTENTIAL OF TUMOR NECROSIS FACTOR-Α (TNF-α) INHIBITOR ANBAINUO AS AN EFFECTIVE TREATMENT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1327.2-1327
Author(s):  
M. Yang ◽  
Q. Lv ◽  
Q. Wei ◽  
J. Gu
Keyword(s):  
T Cells ◽  
Ankylosing Spondylitis ◽  
B Cells ◽  
Immune Function ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Cd4 T Cells ◽  
Helper T Cells ◽  
Effector Memory ◽  
Follicular Helper

Background:Studies into ankylosing spondylitis (AS) and its relationship with immune function are controversial, and the correlation between the efficacy of TNF-α inhibitor and changes in immune function is unclear.Objectives:We conducted a prospective study of T-cell and B-cell subset distribution and analyzed lymphocyte function in AS patients to further clarify changes to the immune system caused by AS and to explore resistance that could contribute to relapse after treatment.Methods:A total of 40 immune cells were tested with flow cytometry, and the results of 105 HC (healthy control) subjects, 177 active-stage AS patients, and 23 AS cases before and after 12 weeks of Anbainuo therapy were analyzed.Results:Compared with the HC group, the proportion of immune cells, such as naïve and central memory CD4+T cells, in AS increased (p<0.0001), but effector memory and terminally differentiated CD4+T cells were decreased (p<0.01 and 0.0001, respectively). Naïve, central memory, and effector memory CD8+T cells were increased (p<0.0001, 0.001, and 0.01, respectively), but terminally differentiated CD8+T cells were decreased (p<0.0001). Th1 cells (helper T cells-1), Tfh1 cells (follicular helper T cells-1), Tc1 cells (cytotoxic T cells-1), and Tregs (regulatory T cells) were lower (p<0.01, 0.05, 0.0001, and 0.001, respectively), but Th17 cells, Tfh17 cells, and Tc cells were higher (p<0.001, 0.0001 and 0.001, respectively). The proportions of total B cells and class-switched B cells were increased (p<0.05), but non-switched B cells, plasma cells, memory B cells, and immature Bregs (regulatory B cells) were lower (p<0.01, 0.0001, 0.0001, and 0.0001, respectively). After Anbainuo therapy, the percentage of Tregs and B10 cells (IL-10-producing regulatory B cells) had increased (p<0.01and 0.05, respectively), and the increase in Tregs was positively correlated with the decrease in CRP (C-reactive protein) (r= 0.489, p=0.018).Conclusion:We found that, in terms of both innate and acquired immunity, active-stage AS patients have an immunity imbalance involving multiple types of immune cells, including CD4+T cells, CD8+T cells, Th cells, Tfh cells, Tc cells, Tregs, Bregs, and B cells. Anbainuo can not only help to inhibit disease activity and partial immune function imbalance in AS but can also increase the number of negative regulatory cells in inflammation.References:[1]Long, S., et al., High frequency of circulating follicular helper T cells is correlated with B cell subtypes in patients with ankylosing spondylitis. Exp Ther Med, 2018. 15(5): p. 4578-4586.[2]An, H., et al., The absolute counts of peripheral T lymphocyte subsets in patient with ankylosing spondylitis and the effect of low-dose interleukin-2. Medicine (Baltimore), 2019. 98(15): p. e15094.Acknowledgments:Thanks to Professor Zhinan Yin for his support and assistance with this studyDisclosure of Interests:None declared

Anti-GvHD Effect of Antithymocyte Globulin Is Mediated by Antibodies Binding to T Cells and Regulatory NK Cells, and Less So or Not at All by Antibodies Binding to Other Mononuclear Cell Subsets

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2346-2346
Author(s):  
Mette Hoegh-Petersen ◽  
Minaa Amin ◽  
Yiping Liu ◽  
Alejandra Ugarte-Torres ◽  
Tyler S Williamson ◽  
...  
Keyword(s):  
T Cells ◽  
Dendritic Cells ◽  
B Cells ◽  
Nk Cells ◽  
Cd8 T Cells ◽  
Cd4 T Cells ◽  
Antithymocyte Globulin ◽  
Chronic Gvhd ◽  
Wilcoxon Test ◽  
Effector Memory

Abstract Abstract 2346 Introduction: Polyclonal rabbit-anti-human T cell globulin may decrease the likelihood of graft-vs-host disease (GVHD) without increasing the likelihood of relapse. We have recently shown that high levels of antithymocyte globulin (ATG) capable of binding to total lymphocytes are associated with a low likelihood of acute GVHD grade 2–4 (aGVHD) as well as chronic GVHD needing systemic therapy (cGVHD) but not increased likelihood of relapse (Podgorny PJ et al, BBMT 16:915, 2010). ATG is polyclonal, composed of antibodies for antigens expressed on multiple cell subsets, including T cells, B cells, NK cells, monocytes and dendritic cells. These cell subsets may play a role in the pathogenesis of GVHD. The anti-GVHD effect of ATG may be mediated through killing/inhibition of one or several of these cell subsets (eg, T cells) or their subsets (eg, naïve T cells as based on mouse experiments naïve T cells are thought to play a major role in the pathogenesis of GVHD). To better understand the mechanism of action of ATG on GVHD, we set out to determine levels of which ATG fraction (capable of binding to which cell subset) are associated with subsequent development of GVHD. Patients and Methods: A total of 121 patients were studied, whose myeloablative conditioning included 4.5 mg/kg ATG (Thymoglobulin). Serum was collected on day 7. Using flow cytometry, levels of the following ATG fractions were determined: capable of binding to 1. naïve B cells, 2. memory B cells, 3. naïve CD4 T cells, 4. central memory (CM) CD4 T cells, 5. effector memory (EM) CD4 T cells, 6. naïve CD8 T cells, 7. CM CD8 T cells, 8. EM CD8 T cells not expressing CD45RA (EMRA-), 9. EM CD8 T cells expressing CD45RA (EMRA+), 10. cytolytic (CD16+CD56+) NK cells, 11. regulatory (CD16-CD56high) NK cells, 12. CD16+CD56− NK cells, 13. monocytes and 14. dendritic cells/dendritic cell precursors (DCs). For each ATG fraction, levels in patients with versus without aGVHD or cGVHD were compared using Mann-Whitney-Wilcoxon test. For each fraction for which the levels appeared to be significantly different (p<0.05), we determined whether patients with high fraction level had a significantly lower likelihood of aGVHD or cGVHD than patients with low fraction level (high/low cutoff level was determined from ROC curve, using the point with maximum sum of sensitivity and specificity). This was done using log-binomial regression models, ie, multivariate analysis adjusting for recipient age (continuous), stem cell source (marrow or cord blood versus blood stem cells), donor type (HLA-matched sibling versus other), donor/recipient sex (M/M versus other) and days of follow up (continuous). Results: In univariate analyses, patients developing aGVHD had significantly lower levels of the following ATG fractions: binding to naïve CD4 T cells, EM CD4 T cells, naïve CD8 T cells and regulatory NK cells. Patients developing cGVHD had significantly lower levels of the following ATG fractions: capable of binding to naïve CD4 T cells, CM CD4 T cells, EM CD4 T cells, naïve CD8 T cells and regulatory NK cells. Patients who did vs did not develop relapse had similar levels of all ATG fractions. In multivariate analyses, high levels of the following ATG fractions were significantly associated with a low likelihood of aGVHD: capable of binding to naïve CD4 T cells (relative risk=.33, p=.001), EM CD4 T cells (RR=.30, p<.001), naïve CD8 T cells (RR=.33, p=.002) and regulatory NK cells (RR=.36, p=.001). High levels of the following ATG fractions were significantly associated with a low likelihood of cGVHD: capable of binding to naïve CD4 T cells (RR=.59, p=.028), CM CD4 T cells (RR=.49, p=.009), EM CD4 T cells (RR=.51, p=.006), naïve CD8 T cells (RR=.46, p=.005) and regulatory NK cells (RR=.55, p=.036). Conclusion: For both aGVHD and cGVHD, the anti-GVHD effect with relapse-neutral effect of ATG appears to be mediated by antibodies to antigens expressed on naïve T cells (both CD4 and CD8), EM CD4 T cells and regulatory NK cells, and to a lesser degree or not at all by antibodies binding to antigens expressed on B cells, cytolytic NK cells, monocytes or DCs. This is the first step towards identifying the antibody(ies) within ATG important for the anti-GVHD effect without impacting relapse. If such antibody(ies) is (are) found in the future, it should be explored whether such antibody(ies) alone or ATG enriched for such antibody(ies) could further decrease GVHD without impacting relapse. Disclosures: No relevant conflicts of interest to declare.

Regulatory B cells in CVID patients fail to suppress multifunctional IFN-γ+TNF-α+CD4+ T cells differentiation

2015 ◽  
Vol 160 (2) ◽  
pp. 292-300 ◽  
Author(s):  
Marcela Vlkova ◽  
Olga Ticha ◽  
Jana Nechvatalova ◽  
Tomas Kalina ◽  
Jiri Litzman ◽  
...  
Keyword(s):  
T Cells ◽  
B Cells ◽  
Cd4 T Cells ◽  
Regulatory B Cells ◽  
Tnf Α ◽  
Ifn Γ

scholarly journals Circulating cytokines and lymphocyte subsets in patients who have recovered from COVID-19

2020 ◽  
Author(s):  
Hasi Chaolu ◽  
Xinri Zhang ◽  
Xin Li ◽  
Xin Li ◽  
Dongyan Li
Keyword(s):  
T Cells ◽  
B Cells ◽  
Nk Cells ◽  
Cd8 T Cells ◽  
Cd4 T Cells ◽  
Lymphocyte Subsets ◽  
Healthy Controls ◽  
Tnf Α ◽  
Ifn Γ ◽  
Circulating Cytokines

To investigate the immune status of people who previously had COVID-19 infections, we recruited patients 2 weeks post-recovery and analyzed circulating cytokines and lymphocyte subsets. We measured levels of total lymphocytes, CD4+ T cells, CD8+ T cells, CD19+ B cells, CD56+ NK cells, and the serum concentrations of interleukin (IL)-1, IL-4, IL-6, IL-8, IL-10, transforming growth factor beta (TGF-β), tumor necrosis factor alpha (TNF-α), and interferon gamma (IFN-γ) by flow cytometry. We found that in most post-recovery patients, levels of total lymphocytes (66.67%), CD3+ T cells (54.55%), CD4+ T cells (54.55%), CD8 + T cells (81.82%), CD19+ B cells (69.70%), and CD56+ NK cells(51.52%) remained lower than normal, whereas most patients showed normal levels of IL-2 (100%), IL-4 (80.88%), IL-6 (79.41%), IL-10 (98.53%), TNF-α (89.71%), IFN-γ (100%) and IL-17 (97.06%). Compared to healthy controls, 2-week post-recovery patients had significantly lower absolute numbers of total lymphocytes, CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and CD56+ NK cells, along with significantly higher levels of IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ and IL-17. Among post-recovery patients, T cells, particularly CD4+ T cells, were positively correlated with CD19+ B cell counts. Additionally, CD8+ T cells positively correlated with CD4+ T cells and IL-2 levels, and IL-6 positively correlated with TNF-α and IFN-γ. These correlations were not observed in healthy controls. By ROC curve analysis, post-recovery decreases in lymphocyte subsets and increases in cytokines were identified as independent predictors of rehabilitation efficacy. These findings indicate that the immune system has gradually recovered following COVID-19 infection; however, the sustained hyper-inflammatory response for more than 14 days suggests a need to continue medical observation following discharge from the hospital. Longitudinal studies of a larger cohort of recovered patients are needed to fully understand the consequences of the infection.

scholarly journals Tumor-Evoked Regulatory B Cells Promote Breast Cancer Metastasis by Converting Resting CD4+ T Cells to T-Regulatory Cells

2011 ◽  
Vol 71 (10) ◽  
pp. 3505-3515 ◽  
Author(s):  
Purevdorj B. Olkhanud ◽  
Bazarragchaa Damdinsuren ◽  
Monica Bodogai ◽  
Ronald E. Gress ◽  
Ranjan Sen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
B Cells ◽  
Cd4 T Cells ◽  
Cancer Metastasis ◽  
T Regulatory Cells ◽  
Breast Cancer Metastasis ◽  
Regulatory Cells ◽  
Regulatory B Cells ◽  
Promote Breast Cancer

scholarly journals Circulating Cytokines and Lymphocyte Subsets in Patients Who Have Recovered from COVID-19

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Hasichaolu ◽  
Xinri Zhang ◽  
Xin Li ◽  
Xin Li ◽  
Dongyan Li
Keyword(s):  
T Cells ◽  
B Cells ◽  
Nk Cells ◽  
Cd8 T Cells ◽  
Cd4 T Cells ◽  
Lymphocyte Subsets ◽  
Healthy Controls ◽  
Cell Counts ◽  
Tnf Α ◽  
Ifn Γ

To investigate the immune status of people who previously had COVID-19 infections, we recruited two-week postrecovery patients and analyzed circulating cytokine and lymphocyte subsets. We measured levels of total lymphocytes, CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and CD56+ NK cells and the serum concentrations of interleukin- (IL-) 1, IL-4, IL-6, IL-8, IL-10, transforming growth factor beta (TGF-β), tumor necrosis factor alpha (TNF-α), and interferon gamma (IFN-γ) by flow cytometry. We found that in most postrecovery patients, levels of total lymphocytes (66.67%), CD3+ T cells (54.55%), CD4+ T cells (54.55%), CD8+ T cells (81.82%), CD19+ B cells (69.70%), and CD56+ NK cells (51.52%) remained lower than normal, whereas most patients showed normal levels of IL-2 (100%), IL-4 (80.88%), IL-6 (79.41%), IL-10 (98.53%), TNF-α (89.71%), IFN-γ (100%), and IL-17 (97.06%). Compared to healthy controls, two-week postrecovery patients had significantly lower absolute numbers of total lymphocytes, CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and CD56+ NK cells, along with significantly higher levels of IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ, and IL-17. Among postrecovery patients, T cells, particularly CD4+ T cells, were positively correlated with CD19+ B cell counts. Additionally, CD8+ T cells were positively correlated with CD4+ T cells and IL-2 levels, and IL-6 positively correlated with TNF-α and IFN-γ. These correlations were not observed in healthy controls. By ROC curve analysis, postrecovery decreases in lymphocyte subsets and increases in cytokines were identified as independent predictors of rehabilitation efficacy. These findings indicate that the immune system gradually recovers following COVID-19 infection; however, the sustained hyperinflammatory response for more than 14 days suggests a need to continue medical observation following discharge from the hospital. Longitudinal studies of a larger cohort of recovered patients are needed to fully understand the consequences of the infection.

scholarly journals COVID-19 and Cancer: Discovery of Difference in Clinical Immune Indexes

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaojiao Zeng ◽  
Xianghu Jiang ◽  
Liu Yang ◽  
Yunbao Pan ◽  
Yirong Li
Keyword(s):  
T Cells ◽  
B Cells ◽  
Nk Cells ◽  
Cancer Patients ◽  
Immune Cells ◽  
Cd4 T Cells ◽  
Roc Curves ◽  
Immune Disorder ◽  
Respiratory Cancer ◽  
Tnf Α

Objective. This study explored the consistency and differences in the immune cells and cytokines between patients with COVID-19 or cancer. We further analyzed the correlations between the acute inflammation and cancer-related immune disorder. Methods. This retrospective study involved 167 COVID-19 patients and 218 cancer patients. COVID-19 and cancer were each further divided into two subgroups. Quantitative and qualitative variables were measured by one-way ANOVA and chi-square test, respectively. Herein, we carried out a correlation analysis between immune cells and cytokines and used receiver operating characteristic (ROC) curves to discover the optimal diagnostic index. Results. COVID-19 and cancers were associated with lymphopenia and high levels of monocytes, neutrophils, IL-6, and IL-10. IL-2 was the optimal indicator to differentiate the two diseases. Compared with respiratory cancer patients, COVID-19 patients had lower levels of IL-2 and higher levels of CD3+CD4+ T cells and CD19+ B cells. In the subgroup analysis, IL-6 was the optimal differential diagnostic parameter that had the ability to identify if COVID-19 patients would be severely affected, and severe COVID-19 patients had lower levels of lymphocyte subsets (CD3+ T cells, CD3+CD4+ T cells, CD3+CD8+T cells, and CD19+ B cells) and CD16+CD56+ NK cells and higher level of neutrophils. There were significant differences in the levels of CD3+CD4+ T cells and CD19+ B cells between T1-2 and T3-4 stages as well as IL-2 and CD19+ B cells between N0-1 and N2-3 stages while no significant differences between the metastatic and nonmetastatic cancer patients. Additionally, there were higher correlations between IL-2 and IL-4, TNF-α and IL-2, TNF-α and IL-4, TNF-α and IFN-γ, and CD16+CD56+NK cells and various subsets of T cells in COVID-19 patients. There was a higher correlation between CD3+CD4+ T cells and CD19+ B cells in cancer patients. Conclusion. Inflammation associated with COVID-19 or cancer had effects on patients’ outcomes. Accompanied by changes in immune cells and cytokines, there were consistencies, differences, and satisfactory correlations between patients with COVID-19 and those with cancers.

Prophylactic Use of Flagellin: A Novel Method to Boost Immune Reconstitution in Allogeneic HSCT Recipients with Limited GvHD.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3561-3561
Author(s):  
Mohammad S Hossain ◽  
Andrew T Gewirtz ◽  
John D Roback ◽  
Edmund K. Waller
Keyword(s):  
Weight Loss ◽  
T Cells ◽  
B Cells ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Cd4 T Cells ◽  
Major Complication ◽  
Allogeneic Hsct ◽  
Cell Numbers ◽  
Post Transplant

Abstract Abstract 3561 Poster Board III-498 Background Graft-vs-host disease (GvHD) is a major complication in allogeneic Hematopoietic Stem Cell Transplant (HSCT) recipients. Immunosuppressive drugs limit clinical GvHD but increase relapse and susceptibility to opportunistic infections and also result in drug related toxicities. To develop an alternative approach to control GvHD, we tested the immunomodulatory immune properties of flagellin, a bacterial protein that agonistically binds with TLR5 and protects mice from radiation-induced gut injury, in murine allo-BMT models. Methods We used established BA.B10 (H-2K) → C57BL/6 (H-2b) MHC mismatched experimental models of allogeneic HSCT in which GvHD is a major complication. 50 μg LPS-free purified flagellin in PBS or PBS alone were administered intraperitoneally in two doses: 3 hours before fractionated irradiation (5.5Gy X 2 fractions) and 1 day post-transplant. Allografts were performed 1 day after irradiation and contained 5 million (M) T-cell depleted bone marrow (BM) cells and 5 M plastic non-adherent splenocytes from naïve BA.B10 donors. The primary end-points was survival; HSCT recipients were monitored twice a day for mortality and GvHD signs and recipients having more than 25% weight loss were sacrificed. Blood, spleen, thymus and BM were collected from surviving mice on day 132 post transplant, live cells counted, and immune phenotypes were analyzed by FACS. The numbers and phenotype of immune cells in organs from flagellin-treated HSCT recipients were compared to the similar immune cells per organs analyzed from a normal B6 mouse having similar age of HSCT recipients. Results Flagellin treated recipients had 15% weight-loss and 33% transplant-related death by 132 days post transplant versus severe acute GvHD and 100% early post-transplant mortality among control HSCT recipients that received PBS. Flagellin-treated recipients had 100% donor chimerism with limited clinical signs of GvHD. While total cell numbers per spleen (8.2 ± 5.4M) and thymus (7.1 ± 4.9M) were very low in flagellin-treated recipients compared to normal B6 mice (>100M/organ), the cell numbers isolated from blood (8.9 ± 2.6 M/ml) and BM (104.5 ± 37.4 M) were similar to non-transplanted B6 mice (11.4M/ml blood and 108 M/BM, respectively). BM of flagellin-treated HSCT recipients contained similar numbers of CD4+ T cells (4.6 ± 2.7 M) and CD8+ T cells (2.5 ± 1.4 M) as normal B6 mice (4.03M and 1.3M, respectively). Numbers of naïve and memory CD4+ T-cells in the BM were similar between flagellin-treated and control mice: CD4+CD62L+(0.7 ± 0.2 versus 0.5M); CD4+CD62L- (3.9 ± 2.5 versus 3.5 M); CD4+ CD44hi (2.8 ± 1.4 versus B6 3.6M); and CD44lo (1.7 ± 1.3 M versus 0.44M). In contrast, flagellin-treated HSCT recipients had more naïve CD8+ T-cells but similar memory CD8+ T-cells in their BM compared with control mice: CD8+CD62L+(2.6 ± 1.4 versus 1.0M); CD8+CD62L- (1.7 ± 1.2M versus 0.3 M); CD8+CD44hi(0.8 ± 1.1 versus 0.7M); and CD8+CD44lo (0.7 ± 0.3M versus 0.6 M). The numbers of total CD3+ T cells, NK cells, and lin-CD11b-Sca-1+Ckit+ Stem cells in the BM were also similar comparing flagellin-treated recipients with non-transplanted B6 control mice. The number of CD3-B220+ B cells in the BM were lower in flagellin-treated recipients compared to B6 mouse (18.1 ± 3.2M versus 43.1M) as were the numbers of T-cells and B-cells per mL blood of flagellin-treated mice were found lower compared with the blood of normal B6 mouse: 0.8 ± 0.2M T-cells/mL versus 2.1M/mL; 5.5 ± 2.5M B cells/mL versus 9.1M/mL. Although the cellularity of the thymus in flagellin-treated animals was very low compared to normal B6 mice, a usual percentage (62.5 ± 10.5%) of thymocytes were of CD4/CD8 double positive, indicating functional thymopoiesis in these recipients. Conclusion Flagellin protected allogeneic HSCT recipients from irradiation-induced BM damage and prevented lethal GvHD in a major MHC mis-matched model of GvHD. Flagellin and other TLR5 agonists may be novel therapeutic approaches to prevent or reduce GvHD in allogeneic HSCT recipients. Disclosures: No relevant conflicts of interest to declare.

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