Effect of Graft Engineering and Post-Transplantation Immunosuppression Regimen on Immunophenotypic Recovery in Recipients of Unrelated Donor Bone Marrow (T-Cell Depletion Trial) in a Multicenter Randomized Phase II-III Trial.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 1067-1067
Author(s):  
Lawrence S. Lamb ◽  
John E. Wagner ◽  
Nancy A. Kernan ◽  
Trudy N. Small ◽  
Shelly L. Carter ◽  
...  

Abstract T cell depletion (TCD) of donor allogeneic blood or marrow grafts can reduce the incidence and severity of acute graft-versus-host disease (GvHD) but may place the patient at risk for disease relapse. This multicenter randomized trial examined the impact of selective depletion of αβ T cells (αβTCD) + cyclosporine immunosuppression in recipients of unrelated marrow grafts vs. T-replete marrow grafts + methotrexate and cyclosporine immunosuppression. Previously reported data from this trial have shown that 3-year disease-free survival (DFS) did not differ between these groups, although the αβTCD group showed improved neutrophil recovery, decreased incidence of acute GvHD, and reduced grade III-IV toxicities. In order to further clarify these findings, we examined the impact of each graft manipulation and immunosuppression strategy on lymphocyte subset recovery and associated outcomes. Lymphocyte recovery was assessed at 1, 3, 6, 12, 18, and 24 months post-SCT. Of all patients accrued, only patients that had survived for at least one year and who had at least four separate immunophenotyping assessments were included in this analysis (unmanipulated grafts = 66/206 32.0%; αβTCD grafts 57/203 28.1%). Non-parametric pair wise tests were used to compare recovery of absolute cell counts at each measurement period. We also fit a mixed model to each individual’s data to estimate the rate of change in cell counts in the two groups. The slope estimate for each subject obtained from the mixed model was then used as a variable in models to assess DFS. The Cox proportional hazards test was used to examine associations between recovery of individual cell subsets and DFS. Recovery of total absolute CD3, αβ, γδ, CD3+CD4+, CD3+CD8+ T cell count as well as the absolute B cell count did not significantly differ between groups for at each measurement period. CD3+CD4+CD45RA naive T cell recovery remained below the expected adult normal range for all time points in both groups but was improved in patients who received unmanipulated grafts. Interestingly, NK cell absolute count recovery was significantly improved in patients that received TCD grafts over those who received unmanipulated grafts (p = 0.001) through the first year post-SCT. Analysis of the impact of individual cell subset recovery on DFS revealed that an absolute γδ T cell count greater than 1.75 x 105/ml at any time during the first year predicted for improved DFS regardless of treatment group (p = 0.05) consistent with previous single-institution reports. Although the αβTCD regimen did not result in improved DFS in this trial, these findings show that αβTCD is a reasonable graft engineering strategy that can reduce the incidence of acute GvHD without producing a significant negative impact on lymphocyte subset recovery. Indeed, patients in the αβTCD group showed markedly improved NK recovery. Approaches that are currently in early-phase trials such as post-SCT targeted T and/or NK cell therapies could be used to supplement the αβTCD regimen, potentially improving relapse-free survival.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fan Jin ◽  
Jing Xie ◽  
Huan-ling Wang

Abstract Objectives We analysed the peripheral blood lymphocyte subsets of human immunodeficiency virus (HIV)-negative patients infected with pneumocystis pneumonia (PCP) to determine the relationships between the levels of different types of lymphocytes and the prognosis of patients. Methods We retrospectively reviewed HIV-negative patients with PCP diagnosed in our department. All the eligible patients underwent lymphocyte subset analysis on admission. Results A total of 88 HIV-negative PCP patients were enrolled in the study. In univariate analyses, low CD4+ T cell count, low CD8+ T cell count, and low natural killer cell (NK cell) count were associated with higher in-hospital mortality. CD8+ T cell count ≤300/μL was found to be an independent risk factor for poor prognosis in multivariate logistical regression analysis (p = 0.015, OR = 11.526, 95% CI = 1.597–83.158). Although low CD4+ T cell and NK cell counts were not independent risk factors, the mortality rates of PCP patients decreased as the CD4+ T cell and NK cell counts increased. Conclusion The immune process of Pneumocystis jirovecii infection is complex but important. We propose that lymphocyte subsets could give clinicians a better understanding of patient immune status, helping with the early identification of potentially lethal infections and treatment decision making, such as adjusting the immunosuppressive regimen and choosing an appropriate patient monitoring level.


2020 ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  

Abstract Background: COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients.Methods: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients.Results: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). The T cell count, as well as CD4+ T cell, CD8+ T cell, and NK cell counts were gradually decreased with the increased delayed hospitalization (p = 0.003, 0.002, 0.013, and 0.012; respectively). The proportion of T cell was gradually decreased but B cell was gradually increased with the increased delayed hospitalization (p = 0.031 and 0.003, respectively).Conclusion: T cell and CD4+ T cell counts negatively correlated with disease severity, CT manifestation and delayed hospitalization. CD4+ T cell was mainstay of immunity response in COVID-19 patients.


2019 ◽  
Vol 13 (1) ◽  
pp. 25-30
Author(s):  
Zied Gaifer Ali ◽  
Mohamed-Rachid Boulassel

Background: Despite sustained viral control by antiretroviral therapy (ART), some HIV-infected patients do not recover normal CD4+ T cell counts. This Discordant Immune Response (DIR) increases the risk of opportunistic infections. Objective: To evaluate the factors associated with DIR in HIV-infected Omani patients attending public sector clinics. Methods: All HIV-infected patients receiving ART with regular follow-up visits were eligible for this study. The DIR group comprised patients on ART for at least two years with plasma HIV viral load < 50 copies/mL and helper CD4+ T cell counts below 350 cells/μl. The Concordant Immune Responses (CIR) group was similar to DIR but with CD4+ T cell counts above 350 cells/μl. Univariate and multivariate analyses using logistic regression models were used to assess the impact of demographic characteristics, clinical, immunological and virological parameters, type of ART regimens, tuberculosis and other opportunistic co-infections on DIR. Results: Among 153 enrolled participants, 28 and 76 patients were identified as having DIR and CIR, respectively. The multivariate analysis revealed that the only factors independently associated with DIR after adjustment were age (odds ratio [OR] 1.13; 95% confidence interval [CI] 1.04-1.23), baseline CD4+ T cell count (OR: 0.98; CI: 0.97-0.99) and baseline CD56+ cell count (OR: 0.97; CI: 0.96-0.99). Conclusion: Collectively, these findings suggest that a significant proportion of HIV-infected Omani patients develop DIR totaling 27%, and efforts should be made to improve early identification of these patients who tend to experience poor clinical outcomes.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Cong-Ying Song ◽  
Jia Xu ◽  
Jian-Qin He ◽  
Yuan-Qiang Lu

Abstract The coronavirus disease 2019 (COVID-19) has been spreading worldwide. Severe cases quickly progressed with unfavorable outcomes. We aim to investigate the clinical features of COVID-19 and identify the risk factors associated with its progression. Data of confirmed SARS-CoV-2-infected patients and healthy participants were collected. Thirty-seven healthy people and 79 confirmed patients, which include 48 severe patients and 31 mild patients, were recruited. COVID-19 patients presented with dysregulated immune response (decreased T, B, and NK cells and increased inflammatory cytokines). Also, they were found to have increased levels of white blood cell, neutrophil count, and D-dimer in severe cases. Moreover, lymphocyte, CD4+ T cell, CD8+ T cell, NK cell, and B cell counts were lower in the severe group. Multivariate logistic regression analysis showed that CD4+ cell count, neutrophil-to-lymphocyte ratio (NLR) and D-dimer were risk factors for severe cases. Both CT score and clinical pulmonary infection score (CPIS) were associated with disease severity. The receiver operating characteristic (ROC) curve analysis has shown that all these parameters and scores had quite a high predictive value. Immune dysfunction plays critical roles in disease progression. Early and constant surveillance of complete blood cell count, T lymphocyte subsets, coagulation function, CT scan and CPIS was recommended for early screening of severe cases.


2021 ◽  
Vol 8 ◽  
Author(s):  
Juan Li ◽  
Chun-Hua Hu ◽  
Yi Chen ◽  
Mi-Mi Zhou ◽  
Zhi-Jie Gao ◽  
...  

Background and Aims: Acute-on-chronic liver failure (ACLF) is a rare, but dramatic clinical syndrome. There is substantial evidence suggesting that immunity-mediated inflammation plays an important role in HBV-ACLF. Our aim was to characterize the proportion and cell counts of peripheral blood lymphocyte subsets in acute-on-chronic liver failure patients caused by HBV infection.Methods: One hundred and seventeen patients were enrolled in this study, including those with HBV-related ACLF (HBV-ACLF; n = 70), and HBV related non-ACLF patients (HBV non-ACLF; n = 47). Demographics, clinical and laboratory data at hospital admission were retrospectively analyzed. The percentage and cell count of peripheral lymphocyte subsets were evaluated by flow cytometry. Comparison analysis was performed by t-test or non-parametric Mann–Whitney U-test. Actuarial probabilities of death were calculated by the Kaplan-Meier method.Results: Both circulating lymphocyte count and lymphocyte percentage were significantly reduced in patients with HBV-ACLF (P &lt; 0.001). The CD8+ T cell, CD4+ T cell, and CD16+CD56+ NK cell counts were significantly decreased in HBV-ACLF. Consistently, flow cytometric analysis showed that CD8+ T cell counts were significantly decreased in non-survivors, while no significant differences were found in CD4+ T cell, CD19+ B cell, or CD56+CD16+ NK cell counts. Furthermore, the group with the lower CD8+ T cell count displayed a significantly higher mortality rate compared with the group with the higher CD8+ T cell count.Conclusions: The abnormal prevalence of lymphocyte subsets may be important in the pathogenesis of HBV-ACLF. The decrease in CD8+ T cell counts may be related to poor survival in HBV-ACLF patients.


2017 ◽  
Vol 29 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Julie A Zuniga ◽  
Kirk A Easley ◽  
Neeta Shenvi ◽  
Minh L Nguyen ◽  
Marcia Holstad

The purpose of this study was to exam the impact of type 2 diabetes mellitus (T2DM) on CD4 cell count trends in adults with HIV. In a longitudinal retrospective study in an urban primary care HIV clinic in the southeastern United States from 2010 to 2012, patients with HIV medical charts were audited to obtain their CD4 cell count, diabetes status, weight, and demographic information. Rates of increase of CD4 T cell count (i.e. slopes) were obtained using a linear mixed-effects model. Most of the HIV–T2DM cohort (n = 262) and HIV-only cohort (n = 2399) were African American (76%) and male (77%). The CD4 T cell counts were consistently higher in the HIV–T2DM cohort ( p < .0001). The mean rate of CD4 T cell count increase (mean ± SE) was 63 ± 9 cells/µl/year in HIV–T2DM African American women and 28 ± 7 cells/µl/year in HIV–T2DM African American men ( p = 0.003). In the multivariable slope analysis, the CD4 T cell count increase was significantly faster for HIV–T2DM African American women than for all other patients (mean difference = 30/cells/µl/year, 95% CI: 13–47; p < 0.001). Gender, race/ethnicity, and the diagnosis of diabetes influenced the recovery of CD4 cell counts.


2021 ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  

Abstract Background: COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients.Methods: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients.Results: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). The T cell count, as well as CD4+ T cell, CD8+ T cell, and NK cell counts were gradually decreased with the increased delayed hospitalization (p = 0.003, 0.002, 0.013, and 0.012; respectively). The proportion of T cell was gradually decreased but B cell was gradually increased with the increased delayed hospitalization (p = 0.031 and 0.003, respectively).Conclusion: T cell and CD4+ T cell counts negatively correlated with disease severity, CT manifestation and delayed hospitalization. CD4+ T cell was mainstay of immunity response in COVID-19 patients.


2020 ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  

Abstract Background: COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients.Methods: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients.Results: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). The T cell count, as well as CD4+ T cell, CD8+ T cell, and NK cell counts were gradually decreased with the increased delayed hospitalization (p = 0.003, 0.002, 0.013, and 0.012; respectively). The proportion of T cell was gradually decreased but B cell was gradually increased with the increased delayed hospitalization (p = 0.031 and 0.003, respectively).Conclusion: T cell and CD4+ T cell counts negatively correlated with disease severity, CT manifestation and delayed hospitalization. CD4+ T cell was mainstay of immunity response in COVID-19 patients.


2021 ◽  
Author(s):  
Fan Jin ◽  
Jing Xie ◽  
Huan-ling Wang

Abstract Objectives We analyzed the peripheral blood lymphocyte subsets of human immunodeficiency virus (HIV) negative patients infected with pneumocystis pneumonia (PCP), aimed to find out the relationship between the levels of different types of lymphocytes with the prognosis of patients. Methods We retrospectively reviewed HIV negative patients with PCP diagnosed in our department, all the eligible patients underwent lymphocyte subsets analysis on admission. Results A total of 88 HIV negative PCP patients were enrolled in the study. In univariate analyses, low CD4+ T cell count, low CD8+ T cell count, and low natural killer cell (NK cell) count were associated with in-hospital mortality. CD8+ T cell count≤300/μL was found to be an independent risk factor for poor prognosis in multivariate logistical regression analysis (p=0.015, OR=11.526, 95%CI=1.597-83.158). Although low CD4+ T cell and NK cell counts were not independent risk factors, the mortality rates of PCP patients decreased sequentially with the increased levels of CD4+ T cell and NK cell counts. Conclusion The immunity process of Pneumocystis jirovecii infection is complex and crucial. We proposed that lymphocyte subsets give clinicians better understandings of patients 3 immune status, early identification of potential lethal patients and decision making, such as adjusting immunosuppressive regimen and choosing appropriate patient monitoring level.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daxian Wu ◽  
Xiaoping Wu ◽  
Jiansheng Huang ◽  
Qunfang Rao ◽  
Qi Zhang ◽  
...  

Abstract Background COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients. Methods Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients. Results Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). For severe patients, the counts of T cell, CD4+ T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (p = 0.001, 0.03, and <  0.001, respectively). The proportions of T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (both p <  0.001), but the proportions of NK cell, B cell gradually increased with the increased delayed hospitalization (p = 0.007, and 0.002, respectively). For mild patients, only the NK cell count was gradually decreased with the increased delayed hospitalization (p = 0.012). Conclusion T lymphocyte and its subset negatively correlated with disease severity, CT manifestation and delayed hospitalization. The counts of lymphocyte subset were changed more profound than their proportions.


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