La vacunación en el contexto de la pandemia de COVID-19 [Vaccination in the context of the COVID-19 pandemic]

En esta revisión se describen el historial de vacunación, los diferentes tipos de vacunas y cómo la cobertura de vacunación se ha visto afectada por la pandemia actual de COVID-19. Se analiza la efectividad de las vacunas en condiciones metabólicas del huésped, especialmente cuando las personas han perdido su inmunocompetencia, como los pacientes con enfermedad renal crónica que están en tratamiento de diálisis. Las vacunas se producen con una variedad de métodos industriales, modificando los costos. El nuevo campo de la vacunómica incluye el conjunto de respuestas inmunitarias, los niveles satisfactorios de anticuerpos neutralizantes, la producción de metabolitos y la inducción de la expresión de proteínas. Finalmente, se analizan los confusos mensajes sobre vacunación que se difunden en las redes sociales y se dan recomendaciones generales. - In this review, we described the history of vaccination, the different types of vaccines, and how vaccination coverage has been affected by the current COVID-19 pandemic. The effectiveness of the vaccines under metabolic host conditions is analyzed, especially when people have lost their immunocompetence, such as in patients with chronic kidney disease who are in dialysis treatment. Vaccines are produced in a variety of industrial methods, modifying costs. The novel field of vaccinomics includes the set of immune responses, the satisfactory levels of neutralizing antibodies, the production of metabolites, and the induction of protein expression. Finally, an analysis is made of the confusing messages regarding vaccination that are disseminated on social networks, and general recommendations are given

Absence of antibodies against KIR4.1 in multiple sclerosis: A three-technique approach and systematic review

<div><p>Introduction</p><p>Antibodies targeting the inward-rectifying potassium channel KIR4.1 have been associated with multiple sclerosis (MS) but studies using diverse techniques have failed to replicate this association. The detection of these antibodies is challenging; KIR4.1 glycosylation patterns and the use of diverse technical approaches may account for the disparity of results. We aimed to replicate the association using three different approaches to overcome the technical limitations of a single technique. We also performed a systematic review to examine the association of anti-KIR4.1 antibodies with MS.</p><p>Methods</p><p>Serum samples from patients with MS (n = 108) and controls (n = 77) were tested for the presence of anti-KIR4.1 antibodies using three methods: 1) by ELISA with the low-glycosylated fraction of recombinant KIR4.1 purified from transfected HEK293 cells according to original protocols; 2) by immunocytochemistry using KIR4.1-transfected HEK293 cells; and 3) by immunocytochemistry using the KIR4.1.-transfected MO3.13 oligodendrocyte cell line. We developed a systematic review and meta-analysis of the association of anti-KIR4.1 antibodies with MS according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.</p><p>Results</p><p>We did not detect anti-KIR4.1 antibodies in the MS patients or in controls using ELISA. Neither did we detect any significant reactivity against the antigen on the cell surface using the KIR4.1-transfected HEK293 cells or the KIR4.1-transfected MO3.13 cells. We included 13 prospective controlled studies in the systematic review. Only three studies showed a positive association between anti-KIR4.1 and MS. Clinical and statistical heterogeneity between studies precluded meta-analysis of their results.</p><p>Conclusion</p><p>We found no association between anti-KIR4.1 antibody positivity and MS. Although this lack of replication may be due to technical limitations, evidence from our study and others is mounting against the role of KIR4.1 as a relevant MS autoantigen.</p></div

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Abstract Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet often lack precise, domain-specific explanations. Moreover, the impact of XAI methods on dermatologists’ decisions has not yet been evaluated. Building upon previous research, we introduce an XAI system that provides precise and domain-specific explanations alongside its differential diagnoses of melanomas and nevi. Through a three-phase study, we assess its impact on dermatologists’ diagnostic accuracy, diagnostic confidence, and trust in the XAI-support. Our results show strong alignment between XAI and dermatologist explanations. We also show that dermatologists’ confidence in their diagnoses, and their trust in the support system significantly increase with XAI compared to conventional AI. This study highlights dermatologists’ willingness to adopt such XAI systems, promoting future use in the clinic

Contemporary use of cefazolin for MSSA infective endocarditis: analysis of a national prospective cohort

Objectives: This study aimed to assess the real use of cefazolin for methicillin-susceptible Staphylococcus aureus (MSSA) infective endocarditis (IE) in the Spanish National Endocarditis Database (GAMES) and to compare it with antistaphylococcal penicillin (ASP). Methods: Prospective cohort study with retrospective analysis of a cohort of MSSA IE treated with cloxacillin and/or cefazolin. Outcomes assessed were relapse; intra-hospital, overall, and endocarditis-related mortality; and adverse events. Risk of renal toxicity with each treatment was evaluated separately. Results: We included 631 IE episodes caused by MSSA treated with cloxacillin and/or cefazolin. Antibiotic treatment was cloxacillin, cefazolin, or both in 537 (85%), 57 (9%), and 37 (6%) episodes, respectively. Patients treated with cefazolin had significantly higher rates of comorbidities (median Charlson Index 7, P <0.01) and previous renal failure (57.9%, P <0.01). Patients treated with cloxacillin presented higher rates of septic shock (25%, P = 0.033) and new-onset or worsening renal failure (47.3%, P = 0.024) with significantly higher rates of in-hospital mortality (38.5%, P = 0.017). One-year IE-related mortality and rate of relapses were similar between treatment groups. None of the treatments were identified as risk or protective factors. Conclusion: Our results suggest that cefazolin is a valuable option for the treatment of MSSA IE, without differences in 1-year mortality or relapses compared with cloxacillin, and might be considered equally effective

Memorias del primer Simposio Nacional de Ciencias Agronómicas

Primer simposio nacional de Ciencias Agronómicas: El renacer del espacio de discusión científica para el Agro colombiano

Observation of the J/ψ→μ+μ−μ+μ− {\mathrm{J}/\psi} \to\mu^{+}\mu^{-}\mu^{+}\mu^{-} decay in proton-proton collisions at s= \sqrt{s} = 13 TeV

The ${\mathrm{J}/\psi} \to\mu^{+}\mu^{-}\mu^{+}\mu^{-}$ decay has been observed with a statistical significance in excess of five standard deviations. The analysis is based on an event sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 33.6 fb$^{-1}$. Normalizing to the ${\mathrm{J}/\psi} \to\mu^{+}\mu^{-}$ decay mode leads to a branching fraction of $[$ 10.1 $^{+3.3}_{-2.7}$ (stat) $\pm$ 0.4 (syst) $] \times$ 10$^{-7}$, a value that is consistent with the standard model prediction.The J/ψ→μ+μ-μ+μ- decay has been observed with a statistical significance in excess of five standard deviations. The analysis is based on an event sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 33.6  fb-1. Normalizing to the J/ψ→μ+μ- decay mode leads to a branching fraction of [10.1-2.7+3.3(stat)±0.4(syst)]×10-7, a value that is consistent with the standard model prediction.The J/$\psi$$\to$$\mu^+\mu^-\mu^+\mu^-$ decay has been observed with a statistical significance in excess of five standard deviations. The analysis is based on an event sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 33.6 fb$^{-1}$. Normalizing to the J/$\psi$$\to$$\mu^+\mu^-$ decay mode leads to a branching fraction [10.1 $^{+3.3}_{-2.7}$ (stat) $\pm$ 0.4 (syst)] $\times$ 10$^{-7}$, a value that is consistent with the standard model prediction