Humoral and Cellular Immunity Are Significantly Affected in Renal Transplant Recipients, following Vaccination with BNT162b2.

BACKGROUND: Renal transplant recipients (RTRs) tend to mount weaker immune responses to vaccinations, including vaccines against the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: Humoral immunity was assessed using anti-receptor binding domain (RBD) and neutralizing antibodies (NAb) serum levels measured by ELISA, and cellular immunity was assessed using T-, B-, NK, natural killer-like T (NKT)-cell subpopulations, and monocytes measured by flow cytometry, and also specific T-cell immunity, at predefined time points after BNT162b2 vaccination, in 57 adult RTRs. RESULTS: Administration of three booster doses was necessary to achieve anti-RBD and NAb protective levels in almost all patients (92.98%). Ab production, at several time points, was positively correlated with the corresponding renal function and inversely correlated with hemodialysis vintage (HDV) and treatment with mycophenolic acid (MPA). A gradual rise in several cell subpopulations, including total lymphocytes (p = 0.026), memory B cells (p = 0.028), activated CD4 (p = 0.005), and CD8 cells (p = 0.001), was observed even after the third vaccination dose, while a significant reduction in CD3+PD1+ (p = 0.002), NKT (p = 0.011), and activated NKT cells (p = 0.034) was noted during the same time interval. Moreover, SARS-CoV-2-specific T-cells were present in 41% of the patients who were unable to develop Nabs, and their positivity rates four months after the second dose were in inverse correlation with monocytes (p = 0.045) and NKT cells (p = 0.01). CONCLUSIONS: SARS-CoV-2-specific T-cell responses preceded the humoral ones, while two booster doses were needed for this group of immunocompromised patients to mount a protective immune response.

Immune Profile Determines Response to Vaccination against COVID-19 in Kidney Transplant Recipients.

BACKGROUND AND AIM: Immune status profile can predict response to vaccination, while lymphocyte phenotypic alterations represent its effectiveness. We prospectively evaluated these parameters in kidney transplant recipients (KTRs) regarding Tozinameran (BNT162b2) vaccination. METHOD: In this prospective monocenter observational study, 39 adult KTRs, on stable immunosuppression, naïve to COVID-19, with no protective humoral response after two Tozinameran doses, received the third vaccination dose, and, based on their immunity activation, they were classified as responders or non-responders. Humoral and cellular immunities were assessed at predefined time points (T0: 48 h before the first, T1: 48 h prior to the third and T2: three weeks after the third dose). RESULTS: Responders, compared to non-responders, had a higher total and transitional B-lymphocyte count at baseline (96.5 (93) vs. 51 (52)cells/µL, p: 0.045 and 9 (17) vs. 1 (2)cells/µL, p: 0.031, respectively). In the responder group, there was a significant increase, from T0 to T1, in the concentrations of activated CD4+ (from 6.5 (4) to 10.08 (11)cells/µL, p: 0.001) and CD8+ (from 8 (19) to 14.76 (16)cells/µL, p: 0.004) and a drop in CD3+PD1+ T-cells (from 130 (121) to 30.44 (25)cells/µL, p: 0.001), while naïve and transitional B-cells increased from T1 to T2 (from 57.55 (66) to 1149.3 (680)cells/µL, p < 0.001 and from 1.4 (3) to 17.5 (21)cells/µL, p: 0.003). The percentages of memory and marginal zone B-lymphocytes, and activated CD4+, CD8+ and natural killer (NK) T-cells significantly increased, while those of naïve B-cells and CD3+PD1+ T-cells reduced from T0 to T1. CONCLUSIONS: Responders and non-responders to the third BNT162b2 dose demonstrated distinct initial immune cell profiles and changes in cellular subpopulation composition following vaccination.

Exploring Perturbations in Peripheral B Cell Memory Subpopulations Early after Kidney Transplantation Using Unsupervised Machine Learning.

BACKGROUND: B cells have a significant role in transplantation. We examined the distribution of memory subpopulations (MBCs) and naïve B cell (NBCs) phenotypes in patients soon after kidney transplantation. Unsupervised machine learning cluster analysis is used to determine the association between the cellular phenotypes and renal function. METHODS: MBC subpopulations and NBCs from 47 stable renal transplant recipients were characterized by flow cytometry just before (T0) and 6 months after (T6) transplantation. T0 and T6 measurements were compared, and clusters of patients with similar cellular phenotypic profiles at T6 were identified. Two clusters, clusters 1 and 2, were formed, and the glomerular filtration rate was estimated (eGFR) for these clusters. RESULTS: A significant increase in NBC frequency was observed between T0 and T6, with no statistically significant differences in the MBC subpopulations. Cluster 1 was characterized by a predominance of the NBC phenotype with a lower frequency of MBCs, whereas cluster 2 was characterized by a high frequency of MBCs and a lower frequency of NBCs. With regard to eGFR, cluster 1 showed a higher value compared to cluster 2. CONCLUSIONS: Transplanted kidney patients can be stratified into clusters based on the combination of heterogeneity of MBC phenotype, NBCs and eGFR using unsupervised machine learning.

International validation of a health-related quality-of-life questionnaire for Hodgkin lymphoma: the EORTC QLQ-HL27.

Hodgkin lymphoma (HL) has become 1 of the most curable cancers. Therefore, rigorous assessment of health-related quality of life (HRQoL) and symptom burden of these patients is essential to support informed clinical decisions. The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group previously developed the EORTC Quality of Life Questionnaire (QLQ) Hodgkin Lymphoma 27. This paper reports the final results of an international study by the EORTC group to develop a HRQoL disease-specific measure for these patients: the EORTC QLQ-HL27. Patients with a confirmed diagnosis of HL (N = 381) were enrolled from 12 countries and completed the EORTC QLQ-C30, QLQ-HL27, and a debriefing questionnaire at baseline (any time after diagnosis). A subset completed a retest (n = 126) or responsiveness-to-change analyses (RCA) second measurement (n = 98). Psychometrics were evaluated. Confirmatory factor analysis showed an acceptable fit of the 27 items of the QLQ-HL27 on its 4 scales (symptom burden, physical condition/fatigue, emotional impact, and worries about health/functioning). Test-retest reliability, convergent validity, known-group comparisons, and RCA find satisfactory results. Symptom burden and fatigue was higher among patients on treatment (with 36%-83% reporting at least a few problems) compared with those who had completed treatment (19%-61% reporting at least a few problems). Prevalence of worries about health and functioning (reporting at least some worry) was similar for patients on treatment (51%-81%) vs those who had completed treatment (52%-78%). Implementation of the EORTC QLQ-HL27 in research and clinical applications will increase sensitivity of HRQoL assessment in patients with HL. High quality data generated through use of this questionnaire are expected to facilitate clinical decision making in the HL setting.

Increase in Double Negative B Lymphocytes in Patients with Systemic Lupus Erythematosus in Remission and Their Correlation with Early Differentiated T Lymphocyte Subpopulations.

B and T lymphocytes demonstrate important alterations in patients with systemic lupus erythematous (SLE), with a significant upregulation of double negative (DN) B cells. The aim of this study was to evaluate the correlation of T cell immunity changes with the distinct B-cell-pattern SLE. In the present study, flow cytometry was performed in 30 patients in remission of SLE and 31 healthy controls to detect DN B cells (CD19+IgD-CD27-) and a wide range of T lymphocyte subpopulations based on the presence of CD45RA, CCR7, CD31, CD28, and CD57, defined as naive, memory, and advanced differentiated/senescent T cells. Both B and T lymphocytes were significantly reduced in SLE patients. However, the percentage of DN B cells were increased compared to HC (12.9 (2.3-74.2) vs. 8 (1.7-35), p = 0.04). The distribution of CD4 and CD8 lymphocytes demonstrated a shift to advanced differentiated subsets. The population of DN B cells had a significant positive correlation with most of the early differentiated T lymphocytes, CD4CD31+, CD4CD45RA+CD28+, CD4CD45RA+CD57-, CD4CD45RA-CD57-, CD4CD28+CD57-, CD4CD28+CD57+, CD4 CM, CD8 CD31+, CD8 NAÏVE, CD8CD45RA-CD57-, CD8CD28+CD57-, and CD8CD28+CD57+. Multiple regression analysis revealed CD4CD31+, CD8CD45RA-CD57-, and CD8CD28+CD57- cells as independent parameters contributing to DN B cells, with adjusted R2 = 0.534 and p < 0.0001. The predominance of DN B cells in patients with SLE is closely associated with early differentiated T lymphocyte subsets, indicating a potential causality role of DN B cells in T lymphocyte activation.

SARS-CoV-2-specific T cell therapy for severe COVID-19: a randomized phase 1/2 trial.

Despite advances, few therapeutics have shown efficacy in severe coronavirus disease 2019 (COVID-19). In a different context, virus-specific T cells have proven safe and effective. We conducted a randomized (2:1), open-label, phase 1/2 trial to evaluate the safety and efficacy of off-the-shelf, partially human leukocyte antigen (HLA)-matched, convalescent donor-derived severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific T cells (CoV-2-STs) in combination with standard of care (SoC) in patients with severe COVID-19 compared to SoC during Delta variant predominance. After a dose-escalated phase 1 safety study, 90 participants were randomized to receive CoV-2-ST+SoC (n = 60) or SoC only (n = 30). The co-primary objectives of the study were the composite of time to recovery and 30-d recovery rate and the in vivo expansion of CoV-2-STs in patients receiving CoV-2-ST+SoC over SoC. The key secondary objective was survival on day 60. CoV-2-ST+SoC treatment was safe and well tolerated. The study met the primary composite endpoint (CoV-2-ST+SoC versus SoC: recovery rate 65% versus 38%, P = 0.017; median recovery time 11 d versus not reached, P = 0.052, respectively; rate ratio for recovery 1.71 (95% confidence interval 1.03-2.83, P = 0.036)) and the co-primary objective of significant CoV-2-ST expansion compared to SοC (CoV-2-ST+SoC versus SoC, P = 0.047). Overall, in hospitalized patients with severe COVID-19, adoptive immunotherapy with CoV-2-STs was feasible and safe. Larger trials are needed to strengthen the preliminary evidence of clinical benefit in severe COVID-19. EudraCT identifier: 2021-001022-22 .

International validation of two EORTC questionnaires for assessment of health-related quality of life for patients with high-grade non-Hodgkin lymphoma (QLQ-NHL-HG29) and low-grade non-Hodgkin lymphoma (QLQ-NHL-LG20).

BACKGROUND: Health-related quality of life (HRQOL) is a critical aspect to consider when making treatment decisions for patients with non-Hodgkin-lymphoma (NHL). This international study by the European Organisation for Research and Treatment of Cancer (EORTC) tested the psychometric properties of two newly developed measures for patients with high-grade (HG)- and low-grade (LG)-NHL: the EORTC QLQ-NHL-HG29 and the EORTC QLQ-NHL-LG20 to supplement the core questionnaire (EORTC QLQ-C30). METHODS: Overall, 768 patients with HG-NHL (N = 423) and LG-NHL (N = 345) from 12 countries completed the QLQ-C30, QLQ-NHL-HG29/QLQ-NHL-LG20 and a debriefing questionnaire at baseline, and a subset at follow-up for either retest (N = 125/124) or responsiveness to change (RCA; N = 98/49). RESULTS: Confirmatory factor analysis showed an acceptable to good fit of the 29 items of the QLQ-NHL-HG29 on its five scales (symptom burden [SB], neuropathy, physical condition/fatigue [PF], emotional impact [EI], and worries about health/functioning [WH]), and of the 20 items of the QLQ-NHL-LG20 on its four scales (SB, PF, EI, and WH). Completion took on average 10 minutes. Test-retest reliability, convergent validity, known-group comparisons, and RCA find satisfactory results of both measures. A total of 31%-78% of patients with HG-NHL and 22%-73% of patients with LG-NHL reported symptoms and/or worries (e.g., tingling in hands/feet, lack of energy, and worries about recurrence). Patients reporting symptoms/worries had substantially lower HRQOL compared to those without. DISCUSSION: The use of the EORTC QLQ-NHL-HG29 and QLQ-NHL-LG20 questionnaires in clinical research and practice will provide clinically relevant data to better inform treatment decision-making. PLAIN LANGUAGE SUMMARY: The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group developed two questionnaires. These questionnaires measure health-related quality of life. The questionnaires are for patients with high-grade or low-grade non-Hodgkin lymphoma. They are called the EORTC QLQ-NHL-HG29 and QLQ-NHL-LG20. The questionnaires are now internationally validated. This study demonstrates that the questionnaires are reliably and valid, which are important aspects of a questionnaire. The questionnaires can now be used in clinical trials and practice. With the information gathered from the questionnaires, patients and clinicians can better evaluate treatments and discuss the best choice for a patient.

Prospective Analysis of B Lymphocyte Subtypes, before and after Initiation of Dialysis, in Patients with End-Stage Renal Disease.

End-stage renal disease (ESRD) is followed by alterations in adaptive immunity. The aim of this study was to evaluate B lymphocyte subtypes in ESRD patients before and after hemodialysis (HD) or continuous ambulatory peritoneal dialysis (CAPD). PATIENTS AND METHODS: CD5, CD27, BAFF, IgM and annexin were evaluated by flow cytometry on CD19+ cells in ESRD patients (n = 40), at time of initiating HD or CAPD (T0) and 6 months later (T6). RESULTS: A significant reduction in ESRD-T0 compared to controls was noticed for CD19+, 70.8 (46.5) vs. 171 (249), p < 0.0001, CD19+CD5-, 68.6 (43) vs. 168.9 (106), p < 0.0001, CD19+CD27-, 31.2 (22.1) vs. 59.7 (88.4), p < 0.0001, CD19+CD27+, 42.1 (63.6) vs. 84.3 (78.1), p = 0.002, CD19+BAFF+, 59.7 (37.8) vs. 127.9 (123.7), p < 0.0001 and CD19+IgM+ cells, 48.9 (42.8) vs. 112.5 (81.7) (K/µL), p < 0.0001. The ratio of early/late apoptotic B lymphocytes was reduced (16.8 (10.9) vs. 110 (25.4), p = 0.03). CD19+CD5+ cells were the only cell type with an increased proportion in ESRD-T0 patients (2.7 (3.7) vs. 0.6 (1.1), p < 0.0001). After 6 months on CAPD or HD, CD19+CD27-(%) and early apoptotic lymphocytes were reduced further. The HD patients also showed a significant increase in late apoptotic lymphocytes, from 1.2 (5.7) to 4.2 (7.2) K/mL, p = 0.02. CONCLUSIONS: B cells and most of their subtypes were significantly reduced in ESRD-T0 patients compared to controls, the only exception being CD19+CD5+ cells. Apoptotic changes were prominent in ESRD-T0 patients and were exacerbated by HD.

Effect of Lymphocyte Phenotypic Alterations on the Humoral Response to Vaccination Against SARS-COV-2 in Dialysis Patients.

Background: The response to vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) varies depending on comorbidities. This study evaluated the clinical and immunological factors affecting the humoral response of patients with end-stage renal disease (ESRD) to the BNT162b2 vaccine. Methods: Humoral immunity was evaluated in 54 ESRD patients using serum levels of anti-receptor-binding domain (RBD) and neutralizing antibodies (NAbs), measured by a chemiluminescent immunoassay 30 (T1), 60 (T2), and 120 (T3) days after the second vaccine dose. The results were correlated to baseline patient T- and B-lymphocyte subpopulations determined by flow cytometry. Results: The proportion of seroconverted patients based on the NAb titer decreased from 83.3% at T1 to 53.7% at T3. Age was negatively correlated to the NAb titer at T1 and T2. Patients receiving hemodiafiltration had higher NAb titers at T3. Diabetes was associated with a lower response rate at T3. Univariate analysis revealed a positive correlation between the naïve CD4 T-lymphocyte population and RBD titer at T1 and the NAb titer at T3, with no association observed with naïve CD8 T lymphocytes. NAb titers at T3 were significantly correlated with late-differentiated CD4 T lymphocytes and terminally differentiated effector memory cells re-expressing CD45RA (TEMRA) CD8 T lymphocytes. RBD levels were positively correlated with naïve and memory B-lymphocyte counts at T3. Conclusions: Age, diabetes, and hemodialysis prescription had significant impacts on the response to vaccination. T- and B-lymphocyte phenotypes are major determinants of the humoral response potency to SARS-CoV-2 vaccination with BNT162b2 in patients with ESRD.

Mapping frailty in people living with HIV: A nationwide study in Greece.

OBJECTIVES: Frailty is known to affect people living with HIV prematurely, compared to the ageing seronegative population. In this cross-sectional study, we aimed to assess frailty prevalence in people living with HIV in Greece and find associations of frailty criteria with clinical data. METHODS: Demographic and clinical data were collected from 477 participants in six HIV clinics. Fried's frailty phenotype was used to assess frailty prevalence, and participants were classified as frail, pre-frail or robust. Associations of several factors with overall frailty phenotype, as well as with frailty criteria, were explored. RESULTS: The median age was 43 years old (IQR = 51.5) and 444/477 (93%) were men. Most of the participants (429/477, 93.5%) had an undetectable HIV viral load, and a CD4 cell count over 500 cells/µl (366/477, 76.7%). Frailty assessment classified 285/477 (62.1%) as robust, 155/477 (33.8%) as pre-frail and 19/477 (4.1%) as frail. Weakness in grip strength was the most prevalent criterion (128/477, 26.8%), followed by exhaustion (46/477, 9.6%). Lower CD4 cell count, history of AIDS diagnosis, CNS disorders, psychiatric diagnoses, and polypharmacy were strongly associated with frailty. CONCLUSIONS: Although the prevalence of frailty in people living with HIV in Greece is uncommon, when combined with pre-frailty over a third of people are affected, which requires attention in clinical practice. The physical and psychological aspects of frailty highlight the need for a holistic approach to prevent or counteract it. The diverse associations of frailty criteria with HIV-related and non-HIV-related factors suggest a possible variation in people's different healthcare needs.

Different Types of Chronic Inflammation Engender Distinctive Immunosenescent Profiles in Affected Patients.

Immunosenescence encompasses a spectrum of lymphocyte phenotypic alterations. The aim of the study was to evaluate immunosenescent effect of two different forms of chronic inflammation, Systemic Lupus Erythematosous (SLE), a systemic autoimmune disease, and End-Stage Kidney Disease (ESKD), a chronic inflammatory disorder. Certain lymphocyte surface molecules, including CD31, CD45RA, CCR7, CD28, CD57, for T, and IgD, CD27 for B lymphocytes, were analyzed by flow cytometry in 30 SLE and 53 ESKD patients on hemodialysis (HD), and results were compared to 31 healthy controls (HC) of similar age, gender, and nationality. Significant Lymphopenia was evident in both SLE and ESKD-HD patients, compared to HC, affecting B cells 75.4 (14.4−520.8), 97 (32−341), and 214 (84−576) cells/µL, respectively, p < 0.0001, and CD4 cells 651.2 (71.1−1478.2), 713 (234−1509), and 986 (344−1591) cells/µL, respectively, p < 0.0001. The allocation of B cell subpopulations was remarkably different between SLE and ESKD-HD patients. SLE showed a clear shift to senescence (CD19IgD-CD27−) cells, compared to ESKD-HD and HC, 11.75 (10)% vs. 8 (6) vs. 8.1 (10), respectively. Regarding T lymphocytes, Central Memory CD8 cells predominated in both SLE and ESKD-HD patients compared to HC, 53 (50)%, 52 (63), and 24 (64)%, respectively, while ESKD-HD but not SLE patients also had increased expression of CD4CD28− and CD8CD28− cells. In conclusion, both diseases are followed by significant lymphopenia; however, the senescent phenomenon affects the B lymphocyte compartment in SLE patients and T lymphocytes in ESKD-HD patients.

Exhausted but Not Senescent T Lymphocytes Predominate in Lupus Nephritis Patients.

Lupus nephritis (LN), a chronic inflammatory disease, is characterized by the substantial disruption of immune homeostasis. This study examines its effects on the T lymphocyte phenotype and, particularly, its senescence- and exhaustion-related immune alterations. T cell subpopulations were determined with flow cytometry in 30 LN patients and 20 healthy controls (HCs), according to the expression of senescence- (CD45RA, CCR7, CD31, CD28, CD57), and exhaustion- (PD1) related markers. The immune phenotype was associated with disease activity and renal histology. LN patients were characterized by pronounced lymphopenia, mainly affecting the CD4 compartment, with a concurrent reduction in the naïve, central and effector memory subsets compared to the HCs. In the CD8 compartment, the naïve subsets were significantly lower than that of the HCs, but a shift in the T cells occurred towards the central memory population. CD4+PD1+ and CD8+PD1+ cells were increased in the LN patients compared to the HCs. However, in CD4 T cells, the increase was limited to CD45RA+, whereas in CD8 T cells, both CD45RA+ and CD45RA- subsets were affected. Disease activity was correlated with CD4+PD1+ and highly differentiated CD4+CD28-CD57+ cells. Histology was only associated with CD4 T cell disturbances, with stage IV presenting reduced naïve and increased senescent subsets. Exhausted T lymphocyte subpopulations predominate within LN patients, while the T cell phenotype varies depending on disease activity.

Effect of panel reactive antibodies on T cell immunity reinstatement following renal transplantation.

BACKGROUND: Chronic kidney disease is associated with immunological disorders, presented as phenotypic alterations of T lymphocytes. These changes are expected to be restored after a successful renal transplantation; however, additional parameters may contribute to this process. AIM: To evaluate the impact of positive panel reactive antibodies (PRAs) on the restoration of T cell phenotype, after renal transplantation. METHODS: CD4CD28null, CD8CD28null, natural killer cells (NKs), and regulatory T cells (Tregs) were estimated by flow cytometry at T0, T3, and T6 which were the time of transplantation, and 3- and 6-mo follow-up, respectively. Changes were esti mated regarding the presence or absence of PRAs. RESULTS: Patients were classified in two groups: PRA(-) (n = 43) and PRA(+) (n = 28) groups. Lymphocyte and their subtypes were similar between the two groups at T0, whereas their percentage was increased at T3 in PRA(-) compared to PRA(+) [23 (10.9-47.9) vs 16.4 (7.5-36.8 µ/L, respectively; P = 0.03]. Lymphocyte changes in PRA(-) patients included a significant increase in CD4 cells (P < 0.0001), CD8 cells (P < 0.0001), and Tregs (P < 0.0001), and a reduction of NKs (P < 0.0001). PRA(+) patients showed an increase in CD4 (P = 0.008) and CD8 (P = 0.0001), and a reduction in NKs (P = 0.07). CD4CD28null and CD8CD28null cells, although initially reduced in both groups, were stabilized thereafter. CONCLUSION: Our study described important differences in the immune response between PRA(+) and PRA(-) patients with changes in lymphocytes and lymphocyte subpopulations. PRA(+) patients seemed to have a worse immune profile after 6 mo follow-up, regardless of renal function.

Clustering of End Stage Renal Disease Patients by Dimensionality Reduction Algorithms According to Lymphocyte Senescence Markers.

End stage renal disease (ESRD) engenders detrimental effects in the Immune system, manifested as quantitative alterations of lymphocyte subpopulations, akin, albeit not identical to those observed during the ageing process. We performed dimensionality reduction of an extended lymphocyte phenotype panel of senescent and exhaustion related markers in ESRD patients and controls with Principal Component Analysis (PCA) and Uniform Manifold Approximation and Projection (UMAP). The plane defined by the first two principal components of PCA showed two fuzzy clusters, for patients and controls, respectively, with loadings of non-senescent markers pointing towards the controls' centroid. Naive lymphocytes were reduced in ESRD patients compared to controls (CD4+CD45RA+CCR7+ 200(150-328) vs. 426(260-585cells/µl respectively, P = 0.001, CD19+IgD+CD27- 54(26-85) vs. 130(83-262)cells/µl respectively, P < 0.001). PCA projections of the multidimensional ESRD immune phenotype suggested a more senescent phenotype in hemodialysis compared to hemodiafiltration treated patients. Lastly, clustering based on UMAP revealed three distinct patient groups, exhibiting gradual changes for naive, senescent, and exhausted lymphocyte markers. Machine learning algorithms can distinguish ESRD patients from controls, based on their immune-phenotypes and also, unveil distinct immunological groups within patients' cohort, determined possibly by dialysis prescription.

International validation of the EORTC QLQ-CLL17 questionnaire for assessment of health-related quality of life for patients with chronic lymphocytic leukaemia.

Selecting the most appropriate chronic lymphocytic leukaemia (CLL) treatment is challenging. Patient-reported health-related quality of life (HRQoL) is therefore a critical aspect to consider. This international study by the European Organization for Research and Treatment of Cancer (EORTC) tested the psychometric properties of a newly developed measure for CLL patients: the EORTC QLQ-CLL17 to supplement the core questionnaire (EORTC QLQ-C30). Patients with CLL (n = 341) from 12 countries completed the QLQ-C30, QLQ-CLL17 and a debriefing questionnaire. Sociodemographic and clinical data were recorded from medical records. A high percentage (30%-66%) reported symptoms and/or worries (e.g. aches/pains in muscles, lack of energy and worry/fears about health). Confirmatory factor analysis showed an acceptable to good fit of the 17 items on the three scales (i.e. symptom burden, physical condition/fatigue and worries/fears about health and functioning). Completion took on average 8 min. Test-retest and convergent validity was demonstrated. The QLQ-CLL17 differentiated between patients with an Eastern Cooperative Oncology group (ECOG) performance of 0 versus 1-3 (p's < 0.01 and clinically relevant). The newly developed EORTC QLQ-CLL17 will increase sensitivity of HRQoL assessment in patients with CLL. Implementation of this questionnaire both in clinical research and practice will help to generate unique clinically relevant data to better inform CLL treatment decision-making.

End stage renal disease has an early and continuous detrimental effect on regulatory T cells.

End stage renal disease (ESRD) is followed by disturbed adaptive immunity, together with alterations in T cell subsets, including CD4+CD25+FoxP3+ cells (Tregs). In the present study, we assessed the effect of haemodialysis (HD) on the Treg population. CD3+CD4+, CD3+CD8+ and CD4+CD25+FoxP3+ cells were estimated by flow cytometry in 142 ESRD patients (45 ESRD-preHD, 97 on HD) and 30 healthy controls (HC). Patients on HD were classified into three groups according to time on dialysis (HD vintage - HDV): A < 2 years, B: 2-5 years and C: >5 years on HD. The mean age of patients on HD (M/F 53/44) was 54.8 ± 14 years and the median HDV 58 (78) months. We observed a significant progressive reduction in the percentage and count of lymphocytes (p < .001, p < .001, respectively), CD3+CD4+ (p = .003 and, p < .001, respectively) and Tregs (p = .001 and, p < .001, respectively), between HC, ESRD-preHD and HD patients. HDV had a significant inverse correlation with total lymphocyte, CD3+CD4+ and Treg cell counts (p = .001, p < .001, p < .001, respectively) and, the percentage of lymphocytes and CD3+CD4+ cells (p = .005, p = .01, respectively). Furthermore, we stratified patients on HD into three groups according to HDV: A < 2 years, B: 2-5 years and C: >5 years on HD. Total lymphocytes and Tregs were significantly different among the three vintage groups (Kruskal-Wallis H test, p < .001, p < .001 respectively). CD3+CD4+ and CD3+CD8+ cells were also significantly affected (p < .001 and p = .001, respectively), after at least 2 years of HD. Tregs show prompt and significant reduction at the pre-dialysis stage, and continue to decrease gradually even after long-term HD, in a context of total lymphocyte reduction.

Myeloid-derived suppressor cell subtypes differentially influence T-cell function, T-helper subset differentiation, and clinical course in CLL.

Cancer pathogenesis involves the interplay of tumor- and microenvironment-derived stimuli. Here we focused on the influence of an immunomodulatory cell type, myeloid-derived suppressor cells (MDSCs), and their lineage-related subtypes on autologous T lymphocytes. Although MDSCs as a group correlated with an immunosuppressive Th repertoire and worse clinical course, MDSC subtypes (polymorphonuclear, PMN-MDSC, and monocytic, M-MDSCs) were often functionally discordant. In vivo, PMN-MDSCs existed in higher numbers, correlated with different Th-subsets, and more strongly associated with poor clinical course than M-MDSCs. In vitro, PMN-MDSCs were more efficient at blocking T-cell growth and promoted Th17 differentiation. Conversely, in vitro M-MDSCs varied in their ability to suppress T-cell proliferation, due to the action of TNFα, and promoted a more immunostimulatory Th compartment. Ibrutinib therapy impacted MDSCs differentially as well, since after initiating therapy, PMN-MDSC numbers progressively declined, whereas M-MDSC numbers were unaffected, leading to a set of less immunosuppressive Th cells. Consistent with this, clinical improvement based on decreasing CLL-cell numbers correlated with the decrease in PMN-MDSCs. Collectively, the data support a balance between PMN-MDSC and M-MDSC numbers and function influencing CLL disease course.

CD28null and Regulatory T Cells Are Substantially Disrupted in Patients with End-Stage Renal Disease Due to Diabetes Mellitus.

BACKGROUND: End-stage renal disease (ESRD) is associated with alterations in T-cell immunity, including increased CD28null and reduced regulatory T cells (Tregs). However, whether immune disturbances are due to ESRD or primary disease is not yet clear. As diabetes mellitus is the leading cause of ESRD, we evaluated its impact on the immune profile of ESRD patients. METHODS: CD28null, Tregs, and natural killer cells were initially analyzed by flow cytometry in 30 predialysis ESRD patients due to diabetes (DM), 30 non-DM (NDM), and 25 healthy controls. Measurements were repeated after 6 months on hemodialysis (HD) or peritoneal dialysis (CAPD). RESULTS: The percentage of CD4 + CD28null cells, CD8 + CD28null cells, and Tregs showed significant differences in DM, NDM, and controls; mean rank 33.71 vs. 25.68 vs. 18.88, p = 0.006, 37.79 vs. 28.82 vs. 17.08, p = 0.008, and 20.79 vs. 26.12 vs. 41.33, p = 0.001, respectively. DM vs. NDM had increased CD4 + CD28null and CD8 + CD28null cells, 11.5% (1.5%-24%) vs. 4.1% (0-42.3%), p = 0.02 and 61.3% (24%-76%) vs. 43% (5.7%-85%), p = 0.04, respectively. After 6 months on HD but not CAPD, DM showed a significant further increase in CD4 + CD28null cells, from 30 (14-100) to 52.7 (15-203), p = 0.02; and CD8 + CD28null cells, from 137 (56-275) to 266 (103-456), p = 0.01. CONCLUSIONS: Diabetes mellitus affects T-cell subtypes even at predialysis stage, though changes become more prominent after commencement on HD.

Influence of end stage renal disease on CD28 expression and T-cell immunity.

BACKGROUND: T-cell immunity is affected in end stage renal disease (ESRD). However, whether this happens at pre- or post-dialysis stage and what is the impact of different renal replacement methods, remains unclear. We investigated the alterations of T-cell subtypes in patients at pre-dialysis ESRD and their further changes during dialysis. METHODS: CD4+, CD8+, CD4 + CD28null and CD8 + CD28null T-cells were analysed in 40 ESRD patients at two different time points, (a) the day started on dialysis (ESRD-T0) and (b) 6 months later (ESRD-T6), while being on haemodialysis (HD) or continuous ambulatory peritoneal dialysis (CAPD). Twenty-five age matched healthy volunteers served as controls. RESULTS: CD4+ and CD8+ T-cells were significantly reduced in ESRD-T0 patients compared to controls, 604 (105-3551) vs 943 (584-1867)µ/L, P = .001, and 352 (103-1561) vs 422.4 (263-1453)µ/L, P = .05, respectively. However, proportions of CD4 + CD28null and CD8 + CD28null cells were significantly increased, 6.4 (0.3-30)% vs 2.7 (0.1-7.8)%, P = .04 and 58.2 (12.8-85.4)% vs 39 (7.8-57.1)%, P = .01, respectively. Proportion of CD4 + CD28null cells showed significant correlation with serum CRP (r = .4, P = .04) and albumin levels (r = -.5, P = .007) in ERSD patients. ESRD-T0 patients with cardiovascular disease (CVD) had increased CD4 + CD28null and CD8 + CD28null proportions, 8.6 (1-30)% vs 2.1 (0.1-19.8)%, P = .04 and 62.5 (12.8-85.4)% vs 45.5 (5.7-73.7)%, P = .02, respectively, compared to those without. Six months later, both CD4 + CD28null and CD8 + CD28null T-cells were increased in HD compared to CAPD patients, by +110.11 (-27.1 to 311.4)% vs -28.1 (-100 to 30)%, P = .003 and +55.23 (-29.06 to 197.93)% vs -8.34 (-54.99 to 66.72)%, P = .05, respectively. CONCLUSIONS: CD4 + CD28null and CD8 + CD28null T-cells are increased at pre-dialysis ESRD, and correlate with chronic inflammatory markers and the presence of CVD. Dialysis methods seem to have different impact on these subpopulations.