5 research outputs found
Anti-trbc1 antibody-based flow cytometric detection of t-cell clonality: Standardization of sample preparation and diagnostic implementation
© 2021 by the authors.A single antibody (anti-TRBC1; JOVI-1 antibody clone) against one of the two mutually exclusive T-cell receptor β-chain constant domains was identified as a potentially useful flow-cytometry (FCM) marker to assess Tαβ-cell clonality. We optimized the TRBC1-FCM approach for detecting clonal Tαβ-cells and validated the method in 211 normal, reactive and pathological samples. TRBC1 labeling significantly improved in the presence of CD3. Purified TRBC1+ and TRBC1− monoclonal and polyclonal Tαβ-cells rearranged TRBJ1 in 44/47 (94%) and TRBJ1+TRBJ2 in 48 of 48 (100%) populations, respectively, which confirmed the high specificity of this assay. Additionally, TRBC1+/TRBC1− ratios within different Tαβ-cell subsets are provided as reference for polyclonal cells, among which a bimodal pattern of TRBC1-expression profile was found for all TCRVβ families, whereas highly-variable TRBC1+/TRBC1− ratios were observed in more mature vs. naïve Tαβ-cell subsets (vs. total T-cells). In 112/117 (96%) samples containing clonal Tαβ-cells in which the approach was validated, monotypic expression of TRBC1 was confirmed. Dilutional experiments showed a level of detection for detecting clonal Tαβ-cells of ≤10−4 in seven out of eight pathological samples. These results support implementation of the optimized TRBC1-FCM approach as a fast, specific and accurate method for assessing T-cell clonality in diagnostic-FCM panels, and for minimal (residual) disease detection in mature Tαβ+ leukemia/lymphoma patients.This work was supported by the CB16/12/00400 (CIBERONC) and PI20-01346 grants, from the Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación (Madrid, Spain) and FONDOS FEDER, and by the EuroFlow Foundation (Leiden, The Netherlands). N. Muñoz-García is supported by a pre-doctoral grant (Ref. IBPredoc17/00012) from IBSAL (Salamanca, Spain). M. Lima, N. Villamor, A.W. Langerak, J.J.M. van Dongen, A. Orfao, and J. Almeida are members of the EuroFlow Consortiu
Immune cell kinetics and antibody response in COVID-19 patients with low-count monoclonal B-cell lymphocytosis
Low-count monoclonal B-cell lymphocytosis (MBLlo) has been associated with an underlying immunodeficiency and has recently emerged as a new risk factor for severe COVID-19. Here, we investigated the kinetics of immune cell and antibody responses in blood during COVID-19 of MBLlo versus non-MBL patients. For this study, we analyzed the kinetics of immune cells in blood of 336 COVID-19 patients (74 MBLlo and 262 non-MBL), who had not been vaccinated against SARS-CoV-2, over a period of 43 weeks since the onset of infection, using high-sensitivity flow cytometry. Plasma levels of anti-SARS-CoV-2 antibodies were measured in parallel by ELISA. Overall, early after the onset of symptoms, MBLlo COVID-19 patients showed increased neutrophil, monocyte, and particularly, plasma cell (PC) counts, whereas eosinophil, dendritic cell, basophil, and lymphocyte counts were markedly decreased in blood of a variable percentage of samples, and with a tendency toward normal levels from week +5 of infection onward. Compared with non-MBL patients, MBLlo COVID-19 patients presented higher neutrophil counts, together with decreased pre-GC B-cell, dendritic cell, and innate-like T-cell counts. Higher PC levels, together with a delayed PC peak and greater plasma levels of anti-SARS-CoV-2-specific antibodies (at week +2 to week +4) were also observed in MBLlo patients. In summary, MBLlo COVID-19 patients share immune profiles previously described for patients with severe SARS-CoV-2 infection, associated with a delayed but more pronounced PC and antibody humoral response once compared with non-MBL patients.This work was supported by “Early Cancer Research Initiative Network on MBL (ECRINM3)” ACCELERATOR award (CRUK-UK-, Fundación AECC-Spain-and Associazione Italiana per la Ricerca Sul Cancro _Italy-), by the CB16/12/00400 (CIBERONC), COV20/00386, PI17/00399, and PI22/00674, grants from the Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación, (Madrid, Spain) co-funded by FONDOS FEDER, and by the SA109P20 (Consejería de Educación) and GRS-COVID-33/A/20 (Gerencia Regional de Salud, Consejería de Sanidad) grants from Junta de Castilla y León (Valladolid, Spain), by 0639-IDIAL-NET-3-3 grant (INTERREG POCTEP Spain-Portugal) from Fondo Europeo de Desarrollo Regional. G. Oliva-Ariza is supported by a grant (PR-2019 487971) from the Consejería de Educación, Junta de Castilla y León (Valladolid, Spain), B. Fuentes-Herrero is supported by the 0639-IDIAL-NET-3-3, and ECRIN-M3 grants, and Ó. González-López is supported by a grant (FI20/00116) from Instituto de Salud Carlos III co-funded by Fondo Social Europeo Plus (FSE+).Peer reviewe
High-Sensitive TRBC1-Based Flow Cytometric Assessment of T-Cell Clonality in Tαβ-Large Granular Lymphocytic Leukemia
Flow cytometric (FCM) analysis of the constant region 1 of the T-cell receptor β chain (TRBC1) expression for assessing Tαβ-cell clonality has been recently validated. However, its utility for the diagnosis of clonality of T-large granular lymphocytic leukemia (T-LGLL) needs to be confirmed, since more mature Tαβ cells (i.e., T-LGL normal-counterpart) show broader TRBC1+/TRBC1− ratios vs. total Tαβ cells. We compared the distribution and absolute counts of TRBC1+ and TRBC1− Tαβ-LGL in blood containing polyclonal (n = 25) vs. clonal (n = 29) LGL. Overall, polyclonal TRBC1+ or TRBC1− Tαβ-LGL ranged between 0.36 and 571 cells/μL (3.2–91% TRBC1+ cells), whereas the clonal LGL cases showed between 51 and 11,678 cells/μL (96% TRBC1+ cells). Among the distinct TCRVβ families, the CD28− effector-memory and terminal-effector polyclonal Tαβ cells ranged between 0 and 25 TRBC1+ or TRBC1− cells/μL and between 0 and 100% TRBC1+ cells, while clonal LGL ranged between 32 and 5515 TRBC1+ or TRBC1− cells/μL, representing 98% TRBC1+ cells. Our data support the utility of the TRBC1-FCM assay for detecting T-cell clonality in expansions of Tαβ-LGL suspected of T-LGLL based on altered percentages of TRBC1+ Tαβ cells. However, in the absence of lymphocytosis or in the case of TαβCD4-LGL expansion, the detection of increased absolute cell counts by the TRBC1-FCM assay for more accurately defined subpopulations of Tαβ-LGL-expressing individual TCRVβ families, allows the detection of T-cell clonality, even in the absence of phenotypic aberrations.This work was supported by the CB16/12/00400 (CIBERONC) and PI20-01346 grants from the Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación (Madrid, Spain) and FONDOS FEDER; the 0639-IDIAL-NET-3-3 grant (INTERREG POCTEP Spain-Portugal) from Fondo Europeo de Desarrollo Regional, and by the EuroFlow Foundation (Leiden, The Netherlands). N.M.-G. was supported by a pre-doctoral grant (Ref. IBPredoc17/00012) from IBSAL (Salamanca, Spain). M.L.,N.V., J.J.M.v.D., A.O. and J.A. are members of the EuroFlow Consortiu
Anti-trbc1 antibody-based flow cytometric detection of t-cell clonality: Standardization of sample preparation and diagnostic implementation
A single antibody (anti-TRBC1; JOVI-1 antibody clone) against one of the two mutually exclusive T-cell receptor β-chain constant domains was identified as a potentially useful flow-cy-tometry (FCM) marker to assess Tαβ-cell clonality. We optimized the TRBC1-FCM approach for detecting clonal Tαβ-cells and validated the method in 211 normal, reactive and pathological sam-ples. TRBC1 labeling significantly improved in the presence of CD3. Purified TRBC1+ and TRBC1− monoclonal and polyclonal Tαβ-cells rearranged TRBJ1 in 44/47 (94%) and TRBJ1+TRBJ2 in 48 of 48 (100%) populations, respectively, which confirmed the high specificity of this assay. Additionally, TRBC1+/TRBC1− ratios within different Tαβ-cell subsets are provided as reference for polyclonal cells, among which a bimodal pattern of TRBC1-expression profile was found for all TCRVβ fami-lies, whereas highly-variable TRBC1+/TRBC1− ratios were observed in more mature vs. naïve Tαβ-cell subsets (vs. total T-cells). In 112/117 (96%) samples containing clonal Tαβ-cells in which the approach was validated, monotypic expression of TRBC1 was confirmed. Dilutional experiments showed a level of detection for detecting clonal Tαβ-cells of ≤10−4 in seven out of eight pathological samples. These results support implementation of the optimized TRBC1-FCM approach as a fast, specific and accurate method for assessing T-cell clonality in diagnostic-FCM panels, and for minimal (residual) disease detection in mature Tαβ+ leukemia/lymphoma patients
Problems on the labour market for young Dutch cardiologists
A single antibody (anti-TRBC1; JOVI-1 antibody clone) against one of the two mutually exclusive T-cell receptor β-chain constant domains was identified as a potentially useful flow-cytometry (FCM) marker to assess Tαβ-cell clonality. We optimized the TRBC1-FCM approach for detecting clonal Tαβ-cells and validated the method in 211 normal, reactive and pathological samples. TRBC1 labeling significantly improved in the presence of CD3. Purified TRBC1+ and TRBC1− monoclonal and polyclonal Tαβ-cells rearranged TRBJ1 in 44/47 (94%) and TRBJ1+TRBJ2 in 48 of 48 (100%) populations, respectively, which confirmed the high specificity of this assay. Additionally, TRBC1+/TRBC1− ratios within different Tαβ-cell subsets are provided as reference for polyclonal cells, among which a bimodal pattern of TRBC1-expression profile was found for all TCRVβ families, whereas highly-variable TRBC1+/TRBC1− ratios were observed in more mature vs. naïve Tαβ-cell subsets (vs. total T-cells). In 112/117 (96%) samples containing clonal Tαβ-cells in which the approach was validated, monotypic expression of TRBC1 was confirmed. Dilutional experiments showed a level of detection for detecting clonal Tαβ-cells of ≤10−4 in seven out of eight pathological samples. These results support implementation of the optimized TRBC1-FCM approach as a fast, specific and accurate method for assessing T-cell clonality in diagnostic-FCM panels, and for minimal (residual) disease detection in mature Tαβ+ leukemia/lymphoma patients