We evaluated the antibody responses in 259 potential convalescent plasma donors for Covid-19 patients. Different assays were used: a commercial ELISA detecting antibodies against the recombinant spike protein (S1); a multiplex assay detecting total and specific antibody isotypes against three SARS-CoV-2 antigens (S1, basic nucleocapsid (N) protein and receptor-binding domain (RBD)); and an in-house ELISA detecting antibodies to complete spike, RBD and N in 60 of these donors. Neutralizing antibodies (NAb) were also evaluated in these 60 donors. Analyzed samples were collected at a median time of 62 (14–104) days from the day of first symptoms or positive PCR (for asymptomatic patients). Anti-SARS-CoV-2 antibodies were detected in 88% and 87.8% of donors using the ELISA and the multiplex assay, respectively. The multivariate analysis showed that age ≥50 years (p < 0.001) and need for hospitalization (p < 0.001) correlated with higher antibody titers, while asymptomatic status (p < 0.001) and testing >60 days after symptom onset (p = 0.001) correlated with lower titers. Interestingly, pseudotype virus-neutralizing antibodies (PsNAbs) significantly correlated with spike and with RBD antibodies by ELISA. Sera with high PsNAb also showed a strong ability to neutralize active SARS-CoV-2 virus, with hospitalized patients showing higher titers. Therefore, convalescent plasma donors can be selected based on the presence of high RBD antibody titers.
Emerging data suggest suboptimal antibody responses to COVID-19 vaccination in patients with hematological malignancies. We evaluated the humoral response following the BNT162b2 vaccine in patients with chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), and Hodgkin’s lymphoma (HL). An FDA-approved, ELISA-based methodology was implemented to evaluate the titers of neutralizing antibodies (NAbs) against SARS-CoV-2 on day 1 of the first vaccine, and afterwards on day 22 and 50. One hundred and thirty-two patients with CLL/lymphomas and 214 healthy matched controls vaccinated during the same period, at the same center were enrolled in the study (NCT04743388). Vaccination with two doses of the BNT162b2 vaccine led to lower production of NAbs against SARS-CoV-2 in patients with CLL/lymphomas compared with controls both on day 22 and on day 50 (p < 0.001 for all comparisons). Disease-related immune dysregulation and therapy-related immunosuppression are involved in the low humoral response. Importantly, active treatment with Rituximab, Bruton’s tyrosine kinase inhibitors, or chemotherapy was an independent prognostic factor for suboptimal antibody response. Patients with HL showed superior humoral responses to the NHL/CLL subgroups. In conclusion, patients with CLL/lymphomas have low humoral response following COVID-19 vaccination, underlining the need for timely vaccination ideally during a treatment-free period and for continuous vigilance on infection control measures.
Mutations of ASXL1 are early events in acute myeloid leukemia (AML) leukemogenesis and have been associated with unfavorable prognosis. In this study, we investigated the type and frequency of ASXL1 mutations in a large cohort of patients with de novo or secondary AML (s-AML) and looked for correlations with cytogenetic findings and disease features. ASXL1 mutations were associated with older age, s-AML and higher peripheral leukocytosis. We observed more frequent co-occurrence of ASXL1 mutations with trisomy 8 and chromosome 11 aberrations but a negative correlation with myelodysplastic syndromes (MDS)-related cytogenetic abnormalities, especially -5/del(5q) and -7/del(7q). ASXL1 mutations were also found in other genetically defined AML subgroups such as those with t(9;22), inv(3)/t(3;3), t(8;21) or t(15;17); however, none of our inv(16) cases carried ASXL1 mutations. We detected two previously unreported ASXL1 mutations, p.IIe593Val and p.Cys688Tyr. Our findings suggest that ASXL1 mutations tend to cluster with specific clinical and cytogenetic profiles of AML patients.
The present cross-sectional study consists of a comprehensive analysis of epidemiological, laboratory, and clinical characteristics of COVID-19 patients in relation to their immunogenetic profiles. We studied 125 COVID-19 patients comprising different stages of disease severity; non-hospitalized (mild n = 69) and hospitalized (n = 56). Analysis of disease characteristics revealed no major differences between males and females of each group of patients while hospitalized patients were older and presented with comorbidities. A positive allele association was observed for HLA-DRB1*01 in total COVID-19 patients versus healthy controls. Subgrouping of COVID-19 patients in mild and hospitalized further identified a statistically significant increase in HLA-DRB1*01 in mild COVID-19 patients versus controls. The frequency of A*11, A*23, and DRB1*09 alleles was higher, while the frequency of C*12 was lower, in hospitalized patients versus healthy controls albeit with uncorrected statistical significance. The identification of specific allele associations may provide useful future markers for disease susceptibility in order to allow successful clinical management of COVID-19 patients.
Introduction: Convalescent plasma is a promising therapeutic option for corona virus disease 2019 (COVID-19). A recent study in 34 COVID-19 patients showed a reduction of recovered patients antibodies within 3 months of infection. The aim on this analysis was to evaluate the antibody titers and explore possible correlations with disease characteristics in volunteer donors, who participated in a phase 2 study for the use of convalescent plasma for the treatment of severe COVID-19 infection. Patients and Methods: This in an ongoing phase 2 study (NCT04408209) for the use of convalescent plasma for severe COVID-19. This analysis reports the results of the first part of the study, regarding the presence of anti-SARS-CoV-2 antibodies in volunteer plasma donors and their correlation with disease characteristics. The main Inclusion criteria for plasma donors included: (i) confirmed SARS-CoV-2 infection by PCR of the nasal/pharyngeal swab; (ii) interval of at least 14 days after complete recovery from COVID-19; (iii) presence of anti-SARS-CoV-2 antibodies; (iv) two negative SARS-CoV-2 PCR results (the second at least 7 days prior to plasmapheresis). For the detection of anti-SARS-CoV-2 antibodies we used two commercially developed assays: one ELISA assay (Euroimmun Medizinische Labordiagnostika AG, Lubeck, Germany), which detects antibodies against the recombinant Spike protein of the virus (S1 domain) and a multiplex assay (ProtATonce Ltd, Athens, Greece) based on the Luminex® xMAP™ technology that detects total antibodies (IgG/IgM/IgA) and individual antibody isotypes IgG, IgM and IgA against 3 SARS-CoV-2 antigens (S1, basic nucleocapsid (N) protein and receptor-binding domain (RBD). Results: To-date, 260 (137M/123F) possible plasma donors were tested for the presence of anti-SARS-CoV-2 antibodies. At the time of their COVID-19 diagnosis, 20 (7.7%) were asymptomatic, 157 (60.3%) were symptomatic but did not need hospitalization and 83 (32%) were hospitalized. Median time from the day of their first symptom or PCR+ (for asymptomatic patients) till the day of screening was 62 (range: 14-104) days. Anti-SARS-CoV-2 antibodies were detected in 229 (88%) donors with the Euroimmun assay and in 238 (91.5%) with the multiplex assay (including the 229 who had antibodies with the Euroimmun method). Univariate analysis showed that donors who had asymptomatic COVID-19 had lower antibody titer compared to those who had symptomatic disease but did not need hospitalization or those who hospitalized (Fig. A-D). Donors <50 years had lower antibody titer compared with older patients [for Euroimmun method, median (IQR): 3.94 (5.10) vs. 7.34 (6.16); p<0.0001], while patients who were tested within 60 days from the first day of symptom or PCR+ (for asymptomatic patients) had higher antibody titer [6.09 (6.52) vs. 4.68 (6.12); p=0.024]. The multivariate analysis showed that age ≥50 years (OR 2.88, 95% CI:1.60-5.18; p<0.001) and need for hospitalization (OR 4.11, 95% CI:2.13-7.90; p<0.001) correlated with higher antibody titers, while asymptomatic phase (OR 0.10, 95% CI:0,01-0.82; p<0.001) and testing within ≥60 days post symptoms onset (OR 0.36, 95% CI:0.20-0.66; p=0.001) correlated with lower antibody titers. In the multivariate logistic regression analysis examining associations between individual symptoms and antibody levels, there was strong correlation between anti-SARS-CoV-2 antibodies and anosmia (OR 11.14, 95% CI:3.92-31.67; p<0.001), loss of taste (OR 5.50, 95% CI:2.23-13.56; p<0.001), fever (OR 4.25, 95% CI:1.90-9.51; p<0.001), and headache (OR 2.34, 95% CI:1.09-5.03; p=0.029). To-date, plasmapheresis was performed in 74 patients with anti-SARS-CoV-2 antibodies, within a median time of 12 (8-19) days after screening; the respective median time (range) from the first day of symptoms or PCR+ was 52 (14-84) days. Interestingly, there was a significant reduction in the antibody titers between the day of screening and the day of plasmapheresis [Fig. E]. Conclusion: Lower anti-SARS-CoV-2 antibody titers, against all studied epitopes, are found in asymptomatic patients, in patients <50 years and in those who were tested ≥60 days post onset of first symptoms. The rapid reduction of anti-SARS-CoV-2 antibodies in our cohort reveals a time pattern of reduction, although we do not know if neutralizing antibodies share the same trend or if this reduction affects the host immunity against SARS-CoV-2. Disclosures Terpos: Amgen: Honoraria, Research Funding; BMS: Honoraria; Genesis pharma SA: Honoraria, Other: travel expenses , Research Funding; Janssen: Honoraria, Research Funding; Takeda: Honoraria, Other: travel expenses , Research Funding; Celgene: Honoraria; Sanofi: Honoraria. Pappa:Genesis pharma SA: Research Funding. Dimopoulos:BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Speakers Bureau.
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