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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Set-valued analysis 4 (1996), S. 101-117 
    ISSN: 1572-932X
    Keywords: 49J52 ; 49K30 ; second-order subdifferentials ; Clarke's subdifferential ; twice strict differentiability ; sufficient optimality conditions ; necessary optimality conditions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We present second-order subdifferentials of Clarke's type of C 1,1 functions, defined in Banach spaces with separable duals. One of them is an extension of the generalized Hessian matrix of such functions in ℝ n , considered by J. B. H.-Urruty, J. J. Strodiot and V. H. Nguyen. Various properties of these subdifferentials are proved. Second-order optimality conditions (necessary, sufficient) for constrained minimization problems with C 1,1 data are obtained.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2012-11-06
    Description: Human Cripto-1 (CR-1) plays an important role in regulating embryonic development while also regulating various stages of tumor progression. However, mechanisms that regulate CR-1 expression during embryogenesis and tumorigenesis are still not well defined. In the present study, we investigated the effects of two nuclear receptors, liver receptor homolog (LRH)-1 and germ cell nuclear factor receptor (GCNF) and epigenetic modifications on CR-1 gene expression in NTERA-2 human embryonal carcinoma cells and in breast cancer cells. CR-1 expression in NTERA-2 cells was positively regulated by LRH-1 through direct binding to a DR0 element within the CR-1 promoter, while GCNF strongly suppressed CR-1 expression in these cells. In addition, the CR-1 promoter was unmethylated in NTERA-2 cells, while T47D, ZR75-1 and MCF7 breast cancer cells showed high levels of CR-1 promoter methylation and low CR-1 mRNA and protein expression. Treatment of breast cancer cells with a demethylating agent and histone deacetylase inhibitors reduced methylation of the CR-1 promoter and reactivated CR-1 mRNA and protein expression in these cells, promoting migration and invasion of breast cancer cells. Analysis of a breast cancer tissue array revealed that CR-1 was highly expressed in the majority of human breast tumors, suggesting that CR-1 expression in breast cancer cell lines might not be representative of in vivo expression. Collectively, these findings offer some insight into the transcriptional regulation of CR-1 gene expression and its critical role in the pathogenesis of human cancer. J. Cell. Physiol. © 2012 Wiley Periodicals, Inc.
    Electronic ISSN: 1097-4652
    Topics: Biology , Medicine
    Published by Wiley
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    Publication Date: 2015-12-03
    Description: Background We conducted an investigator-driven, multicenter, open label, randomized study to establish whether the source of factor VIII (FVIII) replacement (plasma-derived, pd; or recombinant, r) affects the rate of inhibitory alloantibodies in previously untreated patients (PUPs) with severe hemophilia A. Methods Between 2010 and 2014, 303 PUPs who provided consent through their tutors were screened at 42 participating sites in 14 countries from Africa, the Americas, Asia and Europe. The original aim was to screen 300 patients, randomize 270 (10% screening failure) and follow them for 50 exposure days (ED) or 3 years. Once the intended numbers were included, follow-up was terminated due to logistic and budgetary reasons. Screening criteria were age 5 treatments with blood components and 10 were not infused after randomization. The remaining 251 patients were analysed and 35 had truncated follow-up (25 dropout, 10 study termination). Patients were aged 0-81 months at randomization (median 14 months) and received between 1 and 50 infusions of FVIII concentrates (median 22). Of those who did not develop an inhibitor, over 70% had 〉20 ED. 76 patients developed an inhibitor, of which 50 were high-titred. The cumulative inhibitor incidence was 35.4% (95% confidence interval (CI95) 28.9-41.9%). 90% of inhibitors developed within 20 EDs, both for all and high-titre inhibitors. After randomization 125 patients received pdFVIII and 126 rFVIII. The putative confounders were equally divided between the two product class arms. There were 29 inhibitors (20 high-titred) in the group treated with the class of pdFVIII and 47 (30 high-titred) in those treated with rFVIII. The cumulative inhibitor incidence was 26.7% (CI95 18.3-35.1%) for pdFVIII and 44.5% (CI95 34.7-54.3%) for rFVIII (Figure). For high-titre inhibitors the cumulative incidence was 18.5% (CI95 12.1-26.9%) for pdFVIII and 28.4% (CI95 19.6-37.2%) for rFVIII. By univariate Cox regression analysis rFVIII was associated with an 87% higher incidence of inhibitors than pdFVIII (hazard ratio (HR) 1.87, CI95 1.18-2.97). For high-titre inhibitors the rate was 70% increased (HR 1.70, CI95 0.96-2.99). The associations did not materially change after adjustment for putative confounders: in adjusted models the rate remained 70-90% elevated for rFVIII vs pdFVIII. When analysis was restricted to sites that had not randomized patients to a second generation full length rFVIII or pdFVIII (n=131 patients, 25 inhibitors), the risk of other rFVIII concentrates vs pdFVIII was still twofold increased (HR 1.99, CI95 1.00-3.99). Conclusions The rFVIII product class was associated with a 1.87-fold higher incidence of inhibitors than the pdFVIII class. This difference remained even when second generation full length rFVIII concentrate was excluded from the analyses. The results of this randomized study have implications in the choice of product for management of PUPs, as inhibitor development remains a major challenge in the management of haemophilia A. (Funded by the Angelo Bianchi Bonomi Foundation, Italian Ministry of Health, Grifols, Kedrion and LFB - Registed at EudraCT 2009-001186-88). Figure 1. Figure 1. Disclosures Peyvandi: Octapharma: Other: Investigator; LFB, Kedrion, Novonordisk, Bayer, Roche, CSL Behring.: Consultancy, Honoraria, Research Funding. Mannucci:Novonordisk, Grifols, Kedrion, Bayer, Biotest, Baxalta: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Karimi:Octapharma: Other: Investigator. Young:Baxter, Grifols: Consultancy, Honoraria. Santagostino:Roche: Speakers Bureau; Bayer: Speakers Bureau; Baxter/Baxalta: Speakers Bureau; Octapharma: Speakers Bureau; Biotest: Speakers Bureau; Novo Nordisk: Speakers Bureau; Kedrion: Speakers Bureau; Biogen/Sobi: Speakers Bureau; CSL Behring: Speakers Bureau; Pfizer: Research Funding, Speakers Bureau. Mancuso:Baxter, Pfizer, CSL Behring, Baxter, Sobi/Biotest: Consultancy; Novo Nordisk, Bayer: Speakers Bureau. Mahlangu:Biogen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL Behring: Research Funding; NovoNordisk: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Biotest: Honoraria, Membership on an entity's Board of Directors or advisory committees. Bonanad:Baxalta: Research Funding. Ewing:Baxter, Novo Nordisk, Grifols, Bayer, Kedrion: Honoraria. Owaidah:King abdulaziz city for science, Novo Nordisk, Bayer: Honoraria, Research Funding. Kobrinsky:Octapharma: Speakers Bureau; CSL Behring: Speakers Bureau; Sanofi: Speakers Bureau; Kedrion Biopharma: Membership on an entity's Board of Directors or advisory committees. Kavakli:Baxter: Other: advisory board member and received educational and investigational support; Bayer: Other: advisory board member and received educational and investigational support; Novo Nordisk: Other: advisory board member and received educational and investigational support; Pfizer: Other: advisory board member and received educational and investigational support; Bio Products Laboratory: Other: received educational and investigational support; CSL Behring: Other: received educational and investigational support; Octapharma: Other: received educational and investigational support. Manco-Johnson:Baxter, bayer, biogen, CSL Behring, NovoNordish: Honoraria. Neme:Novo Nordisk and Pfizer: Other: fees for speaking. Wicklund:NovoNordisk, Bayer, Baxter (now Baxalta), Biogen-Idec, CSL-Behring, National Hemophilia Foundation: Honoraria, Membership on an entity's Board of Directors or advisory committees. Zulfikar:Eczacýbaþý-Baxter, Pfizer, Novo Nordisk: Consultancy, Honoraria, Research Funding.
    Print ISSN: 0006-4971
    Electronic ISSN: 1528-0020
    Topics: Biology , Medicine
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  • 6
    Publication Date: 2018-11-29
    Description: Background: A major complication in severe hemophilia A is the formation of persistent neutralizing antibodies against factor(F) VIII, inhibitors, which render subsequent treatment ineffective. The presence of non-neutralizing anti-FVIII IgG antibodies (NNAs) before FVIII treatment initiation has been associated with subsequent development of inhibitors in previously untreated patients (PUPs) with severe hemophilia A in the frame of the SIPPET cohort (Cannavò A et al, Blood 2017). Up to 30% of PUPs develop neutralizing antibodies (inhibitors) within the first 20-30 exposure days (Eds) to FVIII concentrates, of which one third disappear spontaneously over a course of six months due to endogenous immune tolerance, and two thirds progress into persistent inhibitors that require immunotolerance therapy. The role of each anti-FVIII IgG subclasses (e.g., IgG1, IgG2, IgG3 and IgG4) and their possible prediction of persistent anti-FVIII inhibitors is not known yet. Aims: To investigate the predictive value of anti-FVIII IgG subclasses on persistence of the anti-FVIII inhibitor in PUPs with severe hemophilia A within 60 days from the first development of anti-FVIII inhibitor. Methods: From the 76 patients who developed inhibitors in the SIPPET cohort (Peyvandi et al., N Eng J Med 2016), anti-FVIII IgG subclasses were measured by an ELISA assay in 43 patients according to plasma availability (median age 18 months [IQR: 12-29]), median inhibitor titer: 16 Bethesda IU [IQR: 5-135]). For each IgG subclass, a cutoff of positivity was defined as the mean OD absorbance value + 5 SD, obtained by analyzing the plasma of 150 normal individuals. The association of number of anti-FVIII IgG subclasses and other possible risk factors (age at first treatment, type of FVIII product, number of EDs and type of F8 gene variation) with inhibitor persistence was first estimated by univariate analysis. Predictive associations were assessed by logistic regression, in which inhibitor persistence was the outcome, and number of anti-FVIII IgG subclasses (1= only one [always IgG1], 2 subclasses, 3 subclasses or all 4 subclasses) and age at first treatment with FVIII concentrates were the putative predictors that showed an association with inhibitor persistence. Other risk factors, such as type of FVIII product, number of EDs and type of F8 gene variation, were not associated with inhibitor persistence at univariate analysis. Relative risks (RR) and 95% confidence intervals (95% CI) were recalculated from odds ratios according to Zhang (JAMA, 1998). The predictive capacity was expressed as the area under the receiving operative characteristic (ROC) curve (AUC). Results: Of the 43 patients who developed an inhibitor (31 persistent, 12 transient), 3 had only one IgG subclass (IgG1), 15 two subclasses, 13 three subclasses and 12 were positive for all the four IgG subclasses. The presence of each subclass was associated with an increased risk of inhibitor persistence, both in univariate and multivariate analysis, with relative risks ranging from 1.3 to 1.8. The risk of inhibitor persistence progressively increased with the number of concomitant IgG subclasses. In the model containing also age at first treatment and taking the category with only IgG1 positivity as reference, the RR (95% CI) was 1.7 (0.2 to 2.9) for patients with two IgG subclasses, 2.6 (0.7 to 3.0) for those with three subclasses and 2.8 (1.2 to 3.0) for those with all the four subclasses. The odds of inhibitor persistence increased by 8% for every 1-month increase of age at first treatment (OR 1.08 [0.99 to 1.22]). The AUC of the predictive model was 0.82 (95% CI: 0.68 to 0.96) (Fig 1). Conclusions: The concomitant presence of more than one anti-FVIII IgG subclass within 60 days from the first development of anti-FVIII inhibitor in patients with severe hemophilia A was associated with an increased risk of persistence of the inhibitor. Age at first treatment also predicted inhibitor persistence. In conclusion, this predictive analysis showed a promising discriminative capability for clinicians to select patients with the highest risk of inhibitor persistence who could benefit from immunotolerance therapy. These results need to be confirmed in other cohorts of PUPs with severe hemophilia A. Figure 1. Figure 1. Disclosures Peyvandi: Novo Nordisk: Speakers Bureau; Octapharma US: Honoraria; Novo Nordisk: Speakers Bureau; Shire: Speakers Bureau; Ablynx: Other: Member of Advisory Board, Speakers Bureau; Roche: Speakers Bureau; Grifols: Speakers Bureau; Sobi: Speakers Bureau; Kedrion: Consultancy; Grifols: Speakers Bureau; Octapharma US: Honoraria; Sobi: Speakers Bureau; Grifols: Speakers Bureau; Grifols: Speakers Bureau; Kedrion: Consultancy; Octapharma US: Honoraria; Octapharma US: Honoraria; Kedrion: Consultancy; Ablynx: Other: Member of Advisory Board, Speakers Bureau; Ablynx: Other: Member of Advisory Board, Speakers Bureau; Novo Nordisk: Speakers Bureau; Sobi: Speakers Bureau; Roche: Speakers Bureau; Shire: Speakers Bureau; Sobi: Speakers Bureau; Kedrion: Consultancy; Ablynx: Other: Member of Advisory Board, Speakers Bureau; Shire: Speakers Bureau; Novo Nordisk: Speakers Bureau; Roche: Speakers Bureau; Shire: Speakers Bureau; Grifols: Speakers Bureau; Kedrion: Consultancy; Ablynx: Other: Member of Advisory Board, Speakers Bureau; Shire: Speakers Bureau; Octapharma US: Honoraria; Sobi: Speakers Bureau; Roche: Speakers Bureau; Roche: Speakers Bureau; Novo Nordisk: Speakers Bureau. Palla:Grifols: Other: travel support; Pfizer: Other: travel support. Santagostino:Grifols: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; CSL Behring: Membership on an entity's Board of Directors or advisory committees; Octapharma: Membership on an entity's Board of Directors or advisory committees; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees; Kedrion: Membership on an entity's Board of Directors or advisory committees; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Sobi: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees. Young:Novo Nordisk: Consultancy, Honoraria; Bioverativ: Consultancy, Honoraria; Bayer: Consultancy; CSL Behring: Consultancy, Honoraria; Kedrion: Consultancy; Genentech/Roche: Consultancy, Honoraria; Shire: Consultancy, Honoraria. Seth:Shire: Honoraria. Mancuso:Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novo Nordisk: Consultancy, Membership on an entity's Board of Directors or advisory committees; Shire: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; CSL Behring: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kedrion: Consultancy; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Biotest: Membership on an entity's Board of Directors or advisory committees; Octapharma: Membership on an entity's Board of Directors or advisory committees. Mahlangu:Sanofi: Research Funding, Speakers Bureau; Roche: Consultancy, Research Funding, Speakers Bureau; LFB: Consultancy; NovoNordisk: Consultancy, Research Funding, Speakers Bureau; CSL Behring: Consultancy, Research Funding, Speakers Bureau; Chugai: Consultancy; Catalyst Biosciences: Consultancy, Research Funding; Biomarin: Research Funding, Speakers Bureau; Biogen: Research Funding, Speakers Bureau; Bayer: Research Funding; Amgen: Consultancy; Alnylam: Consultancy, Research Funding, Speakers Bureau; Shire: Consultancy, Research Funding, Speakers Bureau; Sobi: Research Funding, Speakers Bureau; Spark: Consultancy, Research Funding. Ewing:Hema Biologics: Honoraria; Novo Nordisk: Honoraria; CSL Behring: Honoraria; Grifols: Honoraria; Bayer: Honoraria; Shire: Honoraria; Genentech: Honoraria; Biogen: Research Funding. Male:Bayer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Octapharma: Speakers Bureau; Novo Nordisk: Speakers Bureau; Biotest: Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shire: Speakers Bureau; SOBI: Speakers Bureau; CSL Behring: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Majumdar:NIMHD: Research Funding. Manco-Johnson:CSL Behring: Honoraria; Biogentek: Honoraria; Novo Nordisk: Honoraria; Bayer AG: Honoraria, Research Funding; Baxalta, now part of Shire: Honoraria. Mazzucconi:Baxalta-Shire: Consultancy, Speakers Bureau; Bayer: Consultancy, Speakers Bureau; Novartis,: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Novo Nordisk: Consultancy, Speakers Bureau; CSL Behring: Consultancy, Speakers Bureau. Neme:Shire: Consultancy, Honoraria; Novonordisk: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Grifols: Consultancy, Honoraria; CSL Behring: Consultancy, Honoraria. Prezotti:Bayer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bioverative: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shire: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Mannucci:Kedrion: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Grifols: Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Baxalta/Shire: Speakers Bureau; Alexion: Speakers Bureau; Novo Nordisk: Speakers Bureau.
    Print ISSN: 0006-4971
    Electronic ISSN: 1528-0020
    Topics: Biology , Medicine
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    Publication Date: 2019-11-13
    Description: The formation of pathological anti-FVIII antibodies, referred to as "inhibitors", is the most serious complication of therapeutic FVIII infusions, affecting up to one third of severe Hemophilia A (HA) patients. Intensive FVIII therapy, i.e. "Immune Tolerance Induction" (ITI), enables ~2/3 of treated patients to achieve peripheral tolerance to FVIII. FVIII inhibitor formation is a classical T-cell dependent adaptive immune response. As such, it requires help from the innate immune system. However, the roles of innate immune cells and mechanisms of inhibitor development versus immune tolerance, achieved with or without ITI therapy, are not well understood. To address these questions, we carried out temporal transcriptomics profiling of FVIII-stimulated peripheral blood mononuclear cells (PBMCs) from HA subjects with and without a current or historic inhibitor using RNA-seq. PBMCs were isolated from 40 subjects in the following groups: (A) HA with an inhibitor that resolved either following ITI or spontaneously; (B) HA with a current inhibitor; (C) HA with no inhibitor history and (D) non-HA healthy controls. PBMCs were rested overnight and then stimulated with 5 nM FVIII, and total RNA was isolated 4, 16, 24 and 48 hours following stimulation. RNA from unstimulated cells at t = 4 hrs served as a negative control. Time-series differential expression analysis was performed with DESeq2 and genes with a log likelihood ratio test FDR 1.25 at at least one stimulation time point compared to control were deemed significant. Subjects with a resolved past inhibitor (Group A) showed differential expression of only 15 genes. In contrast, subjects with a current inhibitor (Group B) showed differential expression of 56 genes. A clustering analysis divided the temporal trajectories of Group B genes into 3 distinct clusters. Twenty-three genes were up-regulated at 16 hr and 21 genes at 48 hr post-stimulation, respectively. Interestingly, gene ontology (GO) enrichment analysis of these genes revealed enrichments for innate immune modulators, including NLRP3, TLR8, IL32, CLEC10A and COLEC12.NLRP3 and TLR8 are associated with enhanced secretion of the pro-inflammatory cytokines IL-1beta and TNF-alpha, while IL32, which has several isoforms, has been associated with both inflammatory and regulatory immune processes. Expression levels of NLRP3, TLR8, CLEC10A and IL32 transcripts were validated by real time PCR, and changes in RNA transcript abundances correlated well with the RNA-seq results. IL-32 results were validated by both RT-qPCR on an aliquot of the original RNA sample and ELISA to measure the cytokine in supernatants at t=48 hrs. HA subjects with no inhibitor history (Group C) had 195 differentially expressed genes whose temporal profiles fell into 4 distinct clusters. GO enrichment analysis revealed biological processes related to epithelial cell proliferation, responses to toxic substances, and positive/negative regulation of cytokine secretion (TNF, NQO1, PMEPA1). The non-HA healthy control subjects (Group D) also showed cellular responses to ex vivo FVIII stimulation. A total of 63 differentially regulated genes fell into 4 distinct clusters. GO analysis identified expression patterns associated with leukocyte-mediated immunity, T-cell activation, and a hypoxia response. Overall, distinct transcriptional signatures were identified for each of the four groups, providing clues as to cellular mechanisms leading to or accompanying their disparate anti-FVIII antibody responses. We are currently characterizing PBMC immune cell subsets, e.g. macrophages and CD4+ T cells, to identify specific cell types responsible for the differentially regulated genes. Cellular responses of tolerized HA subjects and healthy non-HA controls were consistent with the known immunogenicity of FVIII, including persistence of FVIII-specific CD4+ T cells even in individuals with no measurable FVIII inhibitor. The inflammatory status of HA patients suffering from an ongoing inhibitor clearly includes up-regulation of innate immune modulators, some of which may act as ongoing danger signals that influence the responses to, and eventual outcome of, ITI therapy. Disclosures Pratt: Grifols, Inc: Research Funding; Bloodworks NW: Patents & Royalties: inventor on patents related to FVIII immunogenicity.
    Print ISSN: 0006-4971
    Electronic ISSN: 1528-0020
    Topics: Biology , Medicine
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  • 10
    Publication Date: 2018-11-29
    Description: Introduction The development of neutralizing anti-FVIII antibodies (inhibitors) with reduced or absent activity of substituted factor VIII (FVIII) remains the most serious complication of hemophilia A therapy (Kempton, 2014). Frequent and high doses of FVIII with or without bypassing products can reestablish immune tolerance in 60-70% of patients. Polymorphism in immune response genes including IL-10 and TNFa were identified as risk factors for inhibitor development (Astermark, 2006). Cross-sectional studies showed different cytokine profiles in patients with hemophilia, especially in those with history of an inhibitor (Oliveira, 2013). In this study cytokine profiles were monitored longitudinally during immune tolerance induction (ITI). Methods 107 plasma samples from 18 patients were collected during the RES.I.S.T Experienced and Naive trial, which included patients with a poor prognosis for ITI success (Gringeri, 2007). We quantified 14 cytokines in each sample by using a Human High Sensitivity T-Cell Discovery Array 14-Plex (Eve Technologies Corp, Calgary, AB, Canada). ELISA based FVIII antibody assays were used for anti-FVIII IgG detection. FVIII inhibitor titers (Bethesda assay, BU) were measured and available for the analysis. The cut-off for a positive inhibitor was 〉0,6 BU mL-1. Bethesda titers (BUpos) between 0,6 -
    Print ISSN: 0006-4971
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