High frequency of low-count monoclonal B-cell lymphocytosis in hospitalized COVID-19 patients

Low-count monoclonal B-cell lymphocytosis (MBLlo, <500 clonal B-cells/μL) is a highly prevalent condition in the general population (4% to 16% of otherwise healthy adults), which increases significantly with age.1-7 In most cases, clonal B-cells share phenotypic and cytogenetic features with chronic lymphocytic leukemia (CLL), but only a small fraction (≈1.8%) progresses to high-count MBL (MBLhi; ≥500 and <5000 clonal B-cells/μL)3 in the medium-term.8 However, previous reports showed that MBLlo subjects had an increased risk of severe infections in association with a (predominantly) secondary antibody deficiency,8-10 suggesting that MBLlo might be a risk marker for developing more severe infections.This work was supported by the Instituto de Salud Carlos III (Ministerio de Ciencia e Innovación, Madrid, Spain, and FONDOS FEDER (a way to build Europe) grants CB16/12/00400 (CIBERONC), COV20/00386, and PI17/00399; the Consejería de Educación and the Gerencia Regional de Salud, Consejería de Sanidad from Junta de Castilla y León (Valladolid, Spain) grants SA109P20 and GRS-COVID-33/A/20; the European Regional Development Fund (INTERREG POCTEP Spain-Portugal) grant 0639-IDIAL-NET-3-3; and the CRUK (United Kingdom), Fundación AECC (Spain), and Associazione Italiana per la Ricerca Sul Cancro (Italy) “Early Cancer Research Initiative Network on MBL (ECRINM3)” ACCELERATOR award. G.O.-A. is supported by a grant from the Consejería de Educación, Junta de Castilla y León (Valladolid, Spain); B.F.-H. was supported by grant 0639-IDIAL-NET-3-3.Peer reviewe

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

Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases

Altres ajuts: Generalitat de Catalunya, Departament de Salut; Generalitat de Catalunya, Departament d'Empresa i Coneixement i CERCA Program; Ministerio de Ciencia e Innovación; Instituto Nacional de Bioinformática; ELIXIR Implementation Studies (CNAG-CRG); Centro de Investigaciones Biomédicas en Red de Enfermedades Raras; Centro de Excelencia Severo Ochoa; European Regional Development Fund (FEDER).Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%)

CIBERER : Spanish national network for research on rare diseases: A highly productive collaborative initiative

Altres ajuts: Instituto de Salud Carlos III (ISCIII); Ministerio de Ciencia e Innovación.CIBER (Center for Biomedical Network Research; Centro de Investigación Biomédica En Red) is a public national consortium created in 2006 under the umbrella of the Spanish National Institute of Health Carlos III (ISCIII). This innovative research structure comprises 11 different specific areas dedicated to the main public health priorities in the National Health System. CIBERER, the thematic area of CIBER focused on rare diseases (RDs) currently consists of 75 research groups belonging to universities, research centers, and hospitals of the entire country. CIBERER's mission is to be a center prioritizing and favoring collaboration and cooperation between biomedical and clinical research groups, with special emphasis on the aspects of genetic, molecular, biochemical, and cellular research of RDs. This research is the basis for providing new tools for the diagnosis and therapy of low-prevalence diseases, in line with the International Rare Diseases Research Consortium (IRDiRC) objectives, thus favoring translational research between the scientific environment of the laboratory and the clinical setting of health centers. In this article, we intend to review CIBERER's 15-year journey and summarize the main results obtained in terms of internationalization, scientific production, contributions toward the discovery of new therapies and novel genes associated to diseases, cooperation with patients' associations and many other topics related to RD research