Publications by authors named "Victor A Sosa-Hernandez"

The chemokine CCL28 is highly expressed in mucosal tissues, but its role during infection is not well understood. Here, we show that CCL28 promotes neutrophil accumulation in the gut of mice infected with and in the lung of mice infected with . Neutrophils isolated from the infected mucosa expressed the CCL28 receptors CCR3 and, to a lesser extent, CCR10, on their surface.

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Immune dysregulation and cancer treatment may affect SARS-CoV-2 vaccination protection. Antibody production by B-cells play a vital role in the control and clearance of the SARS-CoV-2 virus. This study prospectively explores B-cell seroconversion following SARS-CoV-2 immunization in healthy individuals and non-small cell lung cancer (NSCLC) patients undergoing oncological treatment.

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Introduction: Immunoglobulin A (IgA) is the main antibody isotype in body fluids such as tears, intestinal mucous, colostrum, and saliva. There are two subtypes of IgA in humans: IgA1, mainly present in blood and mucosal sites, and IgA2, preferentially expressed in mucosal sites like the colon. In clinical practice, immunoglobulins are typically measured in venous or capillary blood; however, alternative samples, including saliva, are now being considered, given their non-invasive and easy collection nature.

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Background: Currently, there is scant information regarding the features associated to the persistence of post-COVID-19 syndrome, which is the main aim of the present study.

Methods: A cohort study of 102 COVID-19 patients was conducted. The post-COVID-19 symptoms were assessed by a standardised questionnaire.

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Article Synopsis
  • Research on long-term antibody responses to COVID-19 focused on anti-SARS-CoV-2 IgG titers without considering patients' baseline immune profiles, which may affect antibody responses.
  • The study followed 103 COVID-19 patients, assessing their immune profiles and antibody levels at multiple time points over six months to identify factors linked to sustained immunity.
  • Findings indicated that critical illness status and certain immune factors at baseline were significantly associated with a prolonged immune response, highlighting the importance of early immune characteristics in recovery.
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Lupus nephritis (LN) is one of the most common manifestations of systemic lupus erythematosus (SLE), characterized by abnormal B cell activation and differentiation to memory or plasma effector cells. However, the role of these cells in the pathogenesis of LN is not fully understood, as well as the effect of induction therapy on B cell subsets, possibly associated with this manifestation, like aged-associated B cells (ABCs). Consequently, we analyzed the molecules defining the ABCs subpopulation (CD11c, T-bet, and CD21) through flow cytometry of blood samples from patients with lupus presenting or not LN, following up a small sub-cohort after six months of induction therapy.

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The contribution of B cells in COVID-19 pathogenesis, beyond the production of specific antibodies against SARS-CoV-2, is still not well understood. Since one of their most relevant functional roles includes their immune-suppressive mechanisms, we decided to evaluate one of the most recognized human B regulatory subpopulations: the IL-10 B10 cells, during COVID-19 onset. After stimulation of PBMCs for IL-10 induction, we employed multiparametric flow cytometry to determine B10 frequencies in severe and critical COVID-19 patients and then correlated those with clinical and laboratory parameters.

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Objectives: The role of B cells in COVID-19, beyond the production of specific antibodies against SARS-CoV-2, is still not well understood. Here, we describe the novel landscape of circulating double-negative (DN) CD27 IgD B cells in COVID-19 patients, representing a group of atypical and neglected subpopulations of this cell lineage.

Methods: Using multiparametric flow cytometry, we determined DN B cell subset amounts from 91 COVID-19 patients, correlated those with cytokines, clinical and laboratory parameters, and segregated them by principal components analysis.

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Article Synopsis
  • This study aims to identify new biological factors that explain the severity and prognosis of COVID-19, addressing the gaps in existing models.
  • Researchers developed a predictive model for COVID-19 severity using data from 121 patients, analyzing various clinical and biological traits, achieving a high accuracy rate.
  • Key findings include significant variables such as BMI, specific immune cells, and various metabolites, revealing how immune response and inflammation contribute to disease severity and outcomes.
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The immune response plays a critical role in the pathophysiology of SARS-CoV-2 infection ranging from protection to tissue damage and all occur in the development of acute respiratory distress syndrome (ARDS). ARDS patients display elevated levels of inflammatory cytokines and innate immune cells, and T and B cell lymphocytes have been implicated in this dysregulated immune response. Mast cells are abundant resident cells of the respiratory tract and are able to release different inflammatory mediators rapidly following stimulation.

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Pancreatic cancer remains one of the most lethal diseases with dismal five-year survival rates. Although mutant KRas protein-driven activation of downstream MAPK Raf/MEK/ERK and PI3K/Akt signaling pathways represent major oncogenic alterations, signaling blockade with MEK and PI3K inhibitors has shown that intrinsic resistance may hamper the effectiveness of this targeted approach. However, there have been no mass spectrometry-based proteomic studies for in-depth comparison of protein expression differences between pancreatic cancer cells with sensitivity and resistance to MEK and PI3K kinase inhibitors.

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  • Researchers studied 46 severe and 19 mild COVID-19 patients to analyze changes in serum metabolites using gas chromatography and mass spectrometry.
  • The findings revealed that severe cases exhibited modified metabolic profiles linked to disrupted amino acid breakdown under low oxygen conditions.
  • Three specific α-hydroxyl acids from amino acids increased in severe cases, indicating a potential relationship with oxygen levels and lung damage, suggesting amino acid supplementation may be beneficial during COVID-19.
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Article Synopsis
  • SARS-CoV-2 poses a major global health threat, and the study investigates how different B cell subsets relate to the severity and features of COVID-19 among infected patients.* -
  • Researchers analyzed B cell frequencies in 52 COVID-19 patients using advanced flow cytometry, finding that certain B cell subsets vary significantly between mild and severe cases.* -
  • The findings suggest that changes in B cell populations, such as increased antibody-secreting cells in severe cases and altered memory B cells, may serve as potential biomarkers for disease severity and indicate their role in the immune response to SARS-CoV-2.*
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B lymphocytes are a leukocyte subset capable of developing several functions apart from differentiating into antibody-secreting cells. These processes are triggered by external activation signals that induce changes in the plasma membrane properties, regulated by the formation of different lipid-bilayer subdomains that are associated with the underlying cytoskeleton through different linker molecules, thus allowing the functional specialization of regions within the membrane. Among these, there are tetraspanin-enriched domains.

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Immune tolerance, both to exogenous antigens and autoantigens, is essential for restraining undesired inflammatory responses that might result in severe damage to body tissues or cause chronic diseases. During the past few decades, different cell populations and molecules by them secreted have been associated with suppressing and regulatory mechanisms of immune responses. Although B cells typically acquire relevance as precursors of antibody-producing cells, they can also develop potent regulatory functions through the production of soluble molecules or by establishing direct cellular interactions mediated by different surface proteins implicated in signal transduction.

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In this paper, we propagate the use of a set-based Newton method that enables computing a finite size approximation of the Pareto front (PF) of a given twice continuously differentiable bi-objective optimization problem (BOP). To this end, we first derive analytically the Hessian matrix of the hypervolume indicator, a widely used performance indicator for PF approximation sets. Based on this, we propose the hypervolume Newton method (HNM) for hypervolume maximization of a given set of candidate solutions.

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B lymphocytes are recognized for their crucial role in the adaptive immunity since they represent the only leukocyte lineage capable of differentiating into Ab-secreting cells. However, it has been demonstrated that these lymphocytes can exert several Ab-independent functions, including engulfing and processing Ags for presentation to T cells, secreting soluble mediators, providing co-stimulatory signals, and even participating in lymphoid tissues development. Beyond that, several reports claiming the existence of multiple B cell subsets contributing directly to innate immune responses have appeared.

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