Safety and efficacy of convalescent plasma for severe COVID-19: a randomized, single blinded, parallel, controlled clinical study.

BACKGROUND: Convalescent plasma (CP) has been widely used to treat COVID-19 and is under study. However, the variability in the current clinical trials has averted its wide use in the current pandemic. We aimed to evaluate the safety and efficacy of CP in severe coronavirus disease 2019 (COVID-19) in the early stages of the disease. METHODS: A randomized controlled clinical study was conducted on 101 patients admitted to the hospital with confirmed severe COVID-19. Most participants had less than 14 days from symptoms onset and less than seven days from hospitalization. Fifty patients were assigned to receive CP plus standard therapy (ST), and 51 were assigned to receive ST alone. Participants in the CP arm received two doses of 250 mL each, transfused 24 h apart. All transfused plasma was obtained from "super donors" that fulfilled the following criteria: titers of anti-SARS-CoV-2 S1 IgG ≥ 1:3200 and IgA ≥ 1:800 antibodies. The effect of transfused anti-IFN antibodies and the SARS-CoV-2 variants at the entry of the study on the overall CP efficacy was evaluated. The primary outcomes were the reduction in viral load and the increase in IgG and IgA antibodies at 28 days of follow-up. The per-protocol analysis included 91 patients. RESULTS: An early but transient increase in IgG anti-S1-SARS-CoV-2 antibody levels at day 4 post-transfusion was observed (Estimated difference [ED], - 1.36; 95% CI, - 2.33 to - 0.39; P = 0.04). However, CP was not associated with viral load reduction in any of the points evaluated. Analysis of secondary outcomes revealed that those patients in the CP arm disclosed a shorter time to discharge (ED adjusted for mortality, 3.1 days; 95% CI, 0.20 to 5.94; P = 0.0361) or a reduction of 2 points on the WHO scale when compared with the ST group (HR adjusted for mortality, 1.6; 95% CI, 1.03 to 2.5; P = 0.0376). There were no benefits from CP on the rates of intensive care unit admission (HR, 0.82; 95% CI, 0.35 to 1.9; P = 0.6399), mechanical ventilation (HR, 0.66; 95% CI, 0.25 to 1.7; P = 0.4039), or mortality (HR, 3.2; 95% CI, 0.64 to 16; P = 0.1584). Anti-IFN antibodies and SARS-CoV-2 variants did not influence these results. CONCLUSION: CP was not associated with viral load reduction, despite the early increase in IgG anti-SARS-CoV-2 antibodies. However, CP is safe and could be a therapeutic option to reduce the hospital length of stay. Trial registration NCT04332835.

The Impact of Ethnicity and Genetic Ancestry on Disease Prevalence and Risk in Colombia.

Currently, the vast majority of genomic research cohorts are made up of participants with European ancestry. Genomic medicine will only reach its full potential when genomic studies become more broadly representative of global populations. We are working to support the establishment of genomic medicine in developing countries in Latin America via studies of ethnically and ancestrally diverse Colombian populations. The goal of this study was to analyze the effect of ethnicity and genetic ancestry on observed disease prevalence and predicted disease risk in Colombia. Population distributions of Colombia's three major ethnic groups - Mestizo, Afro-Colombian, and Indigenous - were compared to disease prevalence and socioeconomic indicators. Indigenous and Mestizo ethnicity show the highest correlations with disease prevalence, whereas the effect of Afro-Colombian ethnicity is substantially lower. Mestizo ethnicity is mostly negatively correlated with six high-impact health conditions and positively correlated with seven of eight common cancers; Indigenous ethnicity shows the opposite effect. Malaria prevalence in particular is strongly correlated with ethnicity. Disease prevalence co-varies across geographic regions, consistent with the regional distribution of ethnic groups. Ethnicity is also correlated with regional variation in human development, partially explaining the observed differences in disease prevalence. Patterns of genetic ancestry and admixture for a cohort of 624 individuals from Medellín were compared to disease risk inferred via polygenic risk scores (PRS). African genetic ancestry is most strongly correlated with predicted disease risk, whereas European and Native American ancestry show weaker effects. African ancestry is mostly positively correlated with disease risk, and European ancestry is mostly negatively correlated. The relationships between ethnicity and disease prevalence do not show an overall correspondence with the relationships between ancestry and disease risk. We discuss possible reasons for the divergent health effects of ethnicity and ancestry as well as the implication of our results for the development of precision medicine in Colombia.

COVID-19 convalescent plasma composition and immunological effects in severe patients.

Convalescent plasma (CP) has emerged as a treatment for COVID-19. However, the composition and mechanism of action are not fully known. Therefore, we undertook a two-phase controlled study in which, first the immunological and metabolomic status of recovered and severe patients were evaluated. Secondly, the 28-day effect of CP on the immune response in severe patients was assessed. Nineteen recovered COVID-19 patients, 18 hospitalized patients with severe disease, and 16 pre-pandemic controls were included. Patients with severe disease were treated with CP transfusion and standard therapy (i.e., plasma recipients, n = 9) or standard therapy alone (n = 9). Clinical and biological assessments were done on day 0 and during follow-up on days 4, 7, 14, and 28. Clinical parameters, viral load, total immunoglobulin (Ig) G and IgA anti-S1-SARS-CoV-2 antibodies, neutralizing antibodies (NAbs), autoantibodies, cytokines, T and B cells, and metabolomic and lipidomic profiles were examined. Total IgG and IgA anti-S1-SARS-CoV-2 antibodies were key factors for CP selection and correlated with NAbs. In severe COVID-19 patients, mostly interleukin (IL)-6 (P = <0.0001), IL-10 (P = <0.0001), IP-10 (P = <0.0001), fatty acyls and glycerophospholipids were higher than in recovered patients. Latent autoimmunity and anti-IFN-α antibodies were observed in both recovered and severe patients. COVID-19 CP induced an early but transient cytokine profile modification and increases IgG anti-S1-SARS-CoV-2 antibodies. At day 28 post-transfusion, a decrease in activated, effector and effector memory CD4+ (P < 0.05) and activated and effector CD8+ (P < 0.01) T cells and naïve B cells (P = 0.001), and an increase in non-classical memory B cells (P=<0.0001) and central memory CD4+ T cells (P = 0.0252) were observed. Moreover, IL-6/IFN-γ (P = 0.0089) and IL-6/IL-10 (P = 0.0180) ratios decreased in plasma recipients compared to those who received standard therapy alone. These results may have therapeutic implications and justify further post-COVID-19 studies.

Aplicación farmacogenómica de los genes CYP2C19, CYP2C9 y VKORC1 implicados en el metabolismo de los fármacos clopidogrel y warfarina / Pharmacogenomic application of the CYP2C19, CYP2C9 and VKORC1 genes implicated in the metabolism of clopidogrel and warfarin

Resumen El estudio de las variaciones de las secuencias de ADN y ARN en relación con la respuesta a diferentes fármacos, se ha convertido en un área de estudio particularmente prometedora para la aplicación en genómica clínica y estudios de genomas personalizados. Medicamentos de uso diario en el tratamiento de enfermedades cardiovasculares han demostrado variaciones en la respuesta en función de las variantes genéticas de los individuos. Dos fármacos han concentrado el interés mundial: la warfarina, un anticoagulante oral, y el clopidogrel, un antiagregante plaquetario, los cuales actúan alterando diferentes vías que conforman la cascada de la coagulación, ya sea limitando directamente la producción de trombina o bloqueando otros activadores de la ruta. Los cambios genéticos que se han asociado a la reducción de la actividad enzimática de estos fármacos ocurren en los genes, CYP2C19 para clopidogrel y CYP2C9 y VKORC1 para warfarina. Las variaciones genéticas identificadas para estos genes se relacionan con perfiles genotípicos que determinan la dosis requerida para el paciente. Es allí donde ciencias como la farmacogenómica tienen como fin brindar una ayuda diagnóstica más objetiva al optimizar tiempo y recursos, así como disminuir el riesgo del paciente a sufrir complicaciones que comprometan su vida.

Abstract The study of the variations in DNA and RNA sequencing as regards the response to different drugs has become a particularly promising area for their application in clinical genomics and personalised genome studies. Drugs of daily use in the treatment of cardiovascular diseases have shown variations in the response depending on the genetic variations of the individuals. Two drugs have gathered worldwide interest: warfarin, an oral anticoagulant, and clopidogrel, an antiplatelet drug, which act by altering different pathways that constitute the clotting cascade either by directly limiting the production of thrombin, or by blocking other activators of the pathway. The genetic changes that have been associated with the reduction in the enzyme activity of these drugs occur in the genes, CYP2C19 for clopidogrel, and the genes, CYP2C9 and VKORC1 for warfarin. The genetic variations identified for these genes are associated with genotype profiles that determine the dose required by the patient. It is from there, sciences like pharmacogenomics have as their aim to provide a more objective diagnostic aid in order to optimise time and resources, as well as to reduce the risk of the patient suffering complications that may compromise their life.

Actualidad de la genómica clínica en el área cardiovascular en Colombia / Current state of cardiovascular genomics in Colombia

La genómica clínica ha avanzado de forma exponencial en el mundo durante la última década, debido a la innovación en el campo de las técnicas de secuenciación, que han hecho que los procedimientos sean más cada vez más rápidos y económicos. En la actualidad se plantea un escenario en el cual el médico tiene a su disposición ayudas diagnósticas de última generación en técnicas moleculares y de secuenciación. A continuación se revisan brevemente las ayudas diagnósticas basadas en el conocimiento genético del paciente y su estado actual en el mercado colombiano. Antes de las tecnologías de secuenciación de nueva generación, la alternativa para obtener la información genética de un paciente eran los métodos de secuenciación tradicionales, basados en la tecnología Sanger. Para obtener la secuencia de un gen específico, primero se escogía el gen blanco de interés. El médico debía tener una idea sobre cual o cuales de estos genes podían estar involucrados en la enfermedad de su paciente, algo que puede ser relativamente complejo en el momento de tomar una decisión. La secuenciación de cualquier gen puede ser engorrosa debido a la gran diferencia de tamaños y número de exones entre genes, hecho relevante para entender la forma por la cual se secuencian genes por métodos tradicionales. Para estudios genéticos de un gen, en primer lugar se amplifican todas las partes codificantes del mismo, por medio de la técnica de PCR (polymerase chain reaction). Por ejemplo, el gen SCN5A, posee 28 exones con un tamaño aproximado de 80 kb. Esto implica muchos ciclos de amplificación por PCR, situación en la cual se debe amplificar cada exón de forma independiente, incrementando así costos y tiempo de personal capacitado en el área de la biología molecular. En los casos en los que la secuenciación de un solo gen tenga validez clínica, tomando SCN5A como ejemplo, la complejidad de procesos de laboratorio se opaca con el gran beneficio que tendrán los pacientes al conocer la posible causa genética de su enfermedad o evento cardiovascular. Pero, como las condiciones cardiovasculares no son enfermedades clásicas mendelianas, en la mayoría de los casos no es posible tomar una decisión fácil sobre cual gen específico estudiar.