SpiN-Tec: A T cell-based recombinant vaccine that is safe, immunogenic, and shows high efficacy in experimental models challenged with SARS-CoV-2 variants of concern.

The emergence of new SARS-CoV-2 variants of concern associated with waning immunity induced by natural infection or vaccines currently in use suggests that the COVID-19 pandemic will become endemic. Investing in new booster vaccines using different platforms is a promising way to enhance protection and keep the disease under control. Here, we evaluated the immunogenicity, efficacy, and safety of the SpiN-Tec vaccine, based on a chimeric recombinant protein (SpiN) adjuvanted with CTVad1 (MF59-based adjuvant), aiming at boosting immunity against variants of concern of SARS-CoV-2. Immunization of K18-hACE-2 transgenic mice and hamsters induced high antibody titers and cellular immune response to the SpiN protein as well as to its components, RBD and N proteins. Importantly in a heterologous prime/boost protocol with a COVID-19 vaccine approved for emergency use (ChAdOx1), SpiN-Tec enhanced the level of circulation neutralizing antibodies (nAb). In addition to protection against the Wuhan isolate, protection against the Delta and Omicron variants was also observed as shown by reduced viral load and lung pathology. Toxicity and safety tests performed in rats demonstrated that the SpiN-Tec vaccine was safe and, based on these results, the SpiN-Tec phase I/II clinical trial was approved.

Effects of a pro-resolving drug in COVID-19: preclinical studies to a randomized, placebo-controlled, phase Ib/IIa trial in hospitalized patients.

INTRODUCTION: Pro-resolving molecules may curb disease caused by viruses without altering the capacity of the host to deal with infection. AP1189 is a melanocortin receptor-biased agonist endowed with pro-resolving and anti-inflammatory activity. We evaluated the preclinical and early clinical effects of treatment with AP1189 in the context of COVID-19. METHODS: C57BL/6j mice were infected intranasally with MHV-A59 or hK18-ACE2 mice with SARS-CoV-2. AP1189 (10 mg·kg-1, BID, s.c.) was given to the animals from day 2 and parameters evaluated at day 5. Human PBMCs from health donors were infected with SARS-CoV-2 in presence or absence of AP1189 and production of cytokines quantified. In the clinical study, 6 patients were initially given AP1189 (100 mg daily for 14 days) and this was followed by a randomized (2:1), placebo-controlled, double-blind trial that enrolled 54 hospitalized COVID-19 patients needing oxygen support. The primary outcome was the time in days until respiratory recovery, defined as a SpO2 ≥ 93% in ambient air. RESULTS: Treatment with AP1189 attenuated pulmonary inflammation in mice infected with MHV-A59 or SARS-CoV-2 and decreased the release of CXCL10, TNF-α and IL-1ß by human PBMCs. Hospitalized COVID-19 patients already taking glucocorticoids took a median time of 6 days until respiratory recovery when given placebo versus 4 days when taking AP1189 (P = 0.017). CONCLUSION: Treatment with AP1189 was associated with less disease caused by beta-coronavirus infection both in mice and in humans. This is the first demonstration of the effects of a pro-resolving molecule in the context of severe infection in humans.

IFITM3 rs12252 polymorphism association with COVID-19 severity and mortality in a Brazilian sample: an update and a meta-analysis.

This study investigated the association between the IFITM3 rs12252 polymorphism and the severity and mortality of COVID-19 in hospitalized Brazilian patients. A total of 102 COVID-19 patients were included, and the outcomes of interest were defined as death and the need for mechanical ventilation. Genotypes were assessed using Taqman probes. No significant associations were found between the rs12252 polymorphism and COVID-19 outcomes in the original sample, both for death and the need for mechanical ventilation. A meta-analysis, incorporating previous studies that used death as a severity indicator, revealed no association in the allelic and C-recessive models. However, due to the rarity of the T allele and its absence in the sample, further replication studies in larger and more diverse populations are needed to clarify the role of rs12252 in COVID-19 prognosis.

Metformin Treatment Modulates Long Non-Coding RNA Isoforms Expression in Human Cells.

Long noncoding RNAs (lncRNAs) undergo splicing and have multiple transcribed isoforms. Nevertheless, for lncRNAs, as well as for mRNA, measurements of expression are routinely performed only at the gene level. Metformin is the first-line oral therapy for type 2 diabetes mellitus and other metabolic diseases. However, its mechanism of action remains not thoroughly explained. Transcriptomic analyses using metformin in different cell types reveal that only protein-coding genes are considered. We aimed to characterize lncRNA isoforms that were differentially affected by metformin treatment on multiple human cell types (three cancer, two non-cancer) and to provide insights into the lncRNA regulation by this drug. We selected six series to perform a differential expression (DE) isoform analysis. We also inferred the biological roles for lncRNA DE isoforms using in silico tools. We found the same isoform of an lncRNA (AC016831.6-205) highly expressed in all six metformin series, which has a second exon putatively coding for a peptide with relevance to the drug action. Moreover, the other two lncRNA isoforms (ZBED5-AS1-207 and AC125807.2-201) may also behave as cis-regulatory elements to the expression of transcripts in their vicinity. Our results strongly reinforce the importance of considering DE isoforms of lncRNA for understanding metformin mechanisms at the molecular level.

Impact of Early Pandemic SARS-CoV-2 Lineages Replacement with the Variant of Concern P.1 (Gamma) in Western Bahia, Brazil.

BACKGROUND: The correct understanding of the epidemiological dynamics of COVID-19, caused by the SARS-CoV-2, is essential for formulating public policies of disease containment. METHODS: In this study, we constructed a picture of the epidemiological dynamics of COVID-19 in a Brazilian population of almost 17000 patients in 15 months. We specifically studied the fluctuations of COVID-19 cases and deaths due to COVID-19 over time according to host gender, age, viral load, and genetic variants. RESULTS: As the main results, we observed that the numbers of COVID-19 cases and deaths due to COVID-19 fluctuated over time and that men were the most affected by deaths, as well as those of 60 or more years old. We also observed that individuals between 30- and 44-years old were the most affected by COVID-19 cases. In addition, the viral loads in the patients' nasopharynx were higher in the early symptomatic period. We found that early pandemic SARS-CoV-2 lineages were replaced by the variant of concern (VOC) P.1 (Gamma) in the second half of the study period, which led to a significant increase in the number of deaths. CONCLUSIONS: The results presented in this study are helpful for future formulations of efficient public policies of COVID-19 containment.

Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant of concern has spread rapidly across Brazil since late 2020, causing substantial infection and death waves. Here we used individual-level patient records after hospitalization with suspected or confirmed coronavirus disease 2019 (COVID-19) between 20 January 2020 and 26 July 2021 to document temporary, sweeping shocks in hospital fatality rates that followed the spread of Gamma across 14 state capitals, during which typically more than half of hospitalized patients aged 70 years and older died. We show that such extensive shocks in COVID-19 in-hospital fatality rates also existed before the detection of Gamma. Using a Bayesian fatality rate model, we found that the geographic and temporal fluctuations in Brazil's COVID-19 in-hospital fatality rates were primarily associated with geographic inequities and shortages in healthcare capacity. We estimate that approximately half of the COVID-19 deaths in hospitals in the 14 cities could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization and pandemic preparedness are critical to minimize population-wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries.

Delta Variant of SARS-CoV-2 Replacement in Brazil: A National Epidemiologic Surveillance Program.

Coronavirus disease 2019 (COVID-19) pandemic has caused immeasurable impacts on the health and socioeconomic system. The real-time identification and characterization of new Variants of Concern (VOCs) are critical to comprehend its emergence and spread worldwide. In this sense, we carried out a national epidemiological surveillance program in Brazil from April to October 2021. Genotyping by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and sequencing were performed to monitor the dynamics and dissemination of VOCs in samples from 15 federative units. Delta VOC was first detected on June 2021 and took sixteen weeks to replace Gamma. To assess the transmissibility potential of Gamma and Delta VOCs, we studied the dynamics of RT-qPCR cycle threshold (Ct) score in the dominance period of each variant. The data suggest that Delta VOC has a higher transmission rate than Gamma VOC. We also compared relevant symptom patterns in individuals infected with both VOCs. The Delta-infected subjects were less likely to have low oxygen saturation or fatigue, altered results on chest computed tomography, and a propensity for altered X-rays. Altogether, we described the replacement of Gamma by Delta, Delta enhanced transmissibility, and differences in symptom presentation.

Cannabinoid receptor gene polymorphisms and cognitive performance in patients with schizophrenia and controls

Objective: To test the hypothesis that genetic variations of cannabinoid receptors contribute to the pathophysiology of cognitive deficits in schizophrenia. Methods: In this genetic association case-control study, cannabinoid receptor polymorphisms CNR1 rs12720071 and CNR2 rs2229579 were tested for association with neurocognitive performance in 69 patients with schizophrenia and 45 healthy controls. Neurocognition was assessed by the Brief Assessment of Cognition in Schizophrenia (BACS). Results: We found a consistent association between CNR1 rs12720071 polymorphism and the cognitive performance of patients in several cognitive domains. Patients with C/C polymorphism presented significantly worse performance in motor speed, verbal fluency, attention/processing speed and reasoning/problem solving. Conclusion: Although limited, our data support the hypothesis that CNR1 variations may be associated with the pathogenesis of cognitive deficits of schizophrenia.

Cannabinoid receptor gene polymorphisms and cognitive performance in patients with schizophrenia and controls.

OBJECTIVE: To test the hypothesis that genetic variations of cannabinoid receptors contribute to the pathophysiology of cognitive deficits in schizophrenia. METHODS: In this genetic association case-control study, cannabinoid receptor polymorphisms CNR1 rs12720071 and CNR2 rs2229579 were tested for association with neurocognitive performance in 69 patients with schizophrenia and 45 healthy controls. Neurocognition was assessed by the Brief Assessment of Cognition in Schizophrenia (BACS). RESULTS: We found a consistent association between CNR1 rs12720071 polymorphism and the cognitive performance of patients in several cognitive domains. Patients with C/C polymorphism presented significantly worse performance in motor speed, verbal fluency, attention/processing speed and reasoning/problem solving. CONCLUSION: Although limited, our data support the hypothesis that CNR1 variations may be associated with the pathogenesis of cognitive deficits of schizophrenia.

Report 46: Factors driving extensive spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals.

The SARS-CoV-2 Gamma variant spread rapidly across Brazil, causing substantial infection and death waves. We use individual-level patient records following hospitalisation with suspected or confirmed COVID-19 to document the extensive shocks in hospital fatality rates that followed Gamma's spread across 14 state capitals, and in which more than half of hospitalised patients died over sustained time periods. We show that extensive fluctuations in COVID-19 in-hospital fatality rates also existed prior to Gamma's detection, and were largely transient after Gamma's detection, subsiding with hospital demand. Using a Bayesian fatality rate model, we find that the geographic and temporal fluctuations in Brazil's COVID-19 in-hospital fatality rates are primarily associated with geographic inequities and shortages in healthcare capacity. We project that approximately half of Brazil's COVID-19 deaths in hospitals could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization, and pandemic preparedness are critical to minimize population wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries. NOTE: The following manuscript has appeared as 'Report 46 - Factors driving extensive spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals' at https://spiral.imperial.ac.uk:8443/handle/10044/1/91875 . ONE SENTENCE SUMMARY: COVID-19 in-hospital fatality rates fluctuate dramatically in Brazil, and these fluctuations are primarily associated with geographic inequities and shortages in healthcare capacity.

Epidemic Spread of SARS-CoV-2 Lineage B.1.1.7 in Brazil.

The emergence of diverse lineages harboring mutations with functional significance and potentially enhanced transmissibility imposes an increased difficulty on the containment of the SARS-CoV-2 pandemic [...].

Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.

The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.

Non-genetic factors and polymorphisms in genes CYP2C9 and VKORC1: predictive algorithms for TTR in Brazilian patients on warfarin.

PURPOSE: This study was designed to evaluate the association of non-genetic factors and polymorphisms CYP2C9*2 (rs1799853), CYP2C9*3 (rs1075910), and VKORC1-G1639A (rs9923231) with time in therapeutic range (TTR), and to build a regression model to predict the quality of oral anticoagulation control in a sample of Brazilian patients. METHODS: This is a retrospective cohort study developed at an anticoagulation clinic of a university hospital. Overall, 312 patients were included. The quality of oral anticoagulation control was evaluated by TTR. TTR was dichotomized for analysis, using two cutoff points for classification as inadequate (TTR ≤ 60.0%) and optimal (TTR ≥ 75.0%) control. RESULTS: The average age was 60.4 ± 13.5 years, with a predominance of women (187; 59.9%). The -G1639A polymorphism of the VKORC1 gene, when evaluated, based on the recessive inheritance pattern [AA × (GA + GG)], patients with AA genotype exhibited a higher TTR (68.2% versus 62.8%, p = 0.017). TTR ≤ 60.0% was associated with number of drugs in chronic use, assistance for warfarin administration, reports of not taking warfarin, absenteeism, sex (female), and target INR (International Normalized Ratio; 2.00-3.00). TTR ≥ 75.0% was associated with sex (male), target INR (2.00-3.00), assistance for warfarin administration, reports of not taking warfarin, and absenteeism. The two algorithms proposed showed adequate ability to predict TTR presenting good sensitivity and specificity. CONCLUSIONS: Our findings provided useful information for risk stratification depending on TTR level and for future investigations on the quality of oral anticoagulation control in Brazilian anticoagulation clinics.

Definition of Late Onset Alzheimer's Disease and Anticipation Effect of Genome-Wide Significant Risk Variants: Pilot Study of the APOE e4 Allele.

BACKGROUND/OBJECTIVES: This study aims to investigate the role of apolipoprotein E (APOE) e4 influencing the age at onset (AAO) of Alzheimer's disease (AD). In AD, the AAO of dementia varies from 40 to 90 years. Usually, AD patients who develop symptoms before the age of 65 are considered as early-onset AD (EOAD). However, considering the heterogeneity of the AD onset, the definition of late-onset AD (LOAD) cannot rely on an arbitrary cut-off. Thus, we aim to validate the anticipation effect of the APOE e4 allele in LOAD. Methods/Overview: Firstly, the optimal number of AAO subgroups was determined using MCLUST for 3 AD samples from Italy, Brazil, and from the ADNI consortium. MCLUST selects the best-fitting model based on the Bayesian information criterion (BIC), and the ideal cut-off for separating early onset from late onset in each sample. Then, when the AAO was modeled for each sample, the finite mixture model (FMM) analysis was used to analyze the effect of the APOE e4 in determining the risk for anticipated onset in LOAD. For the Brazilian sample, the ancestry was incorporated as a covariate. The FMM results from the 3 samples were meta-analyzed using METAL. RESULTS: We performed the AAO analysis on the APOE e4 in 474 Italian patients enrolled at the IRCCS Santa Lucia Foundation in Italy, 135 AD from the Outpatients Reference Center for Geriatrics from the Federal University of Minas Gerais in Brazil, and 376 from the ADNI consortium. Using this distribution model, we found that the specific LOAD cut-off was ≥64 for the Italian sample, ≥67 for the ADNI sample, and ≥74 for the Brazilian sample. The APOE e4 showed a significant anticipatory effect specific for LOAD in all 3 samples. The METAL analysis for the anticipatory e4 effect was genome-wide significant when analyzing the LOAD effect size under the fixed model (beta = -8.1; p < 0.0001). However, when analyzing EOAD there was no genome-wide significant anticipation effect (beta = 1.9244; p = 0.0219). CONCLUSIONS: This study showed that the mixture analysis can refine the ideal cut-off for defining LOAD as a homogeneous genetic entity. We also validated the e4 allele anticipatory effect only in LOAD. In summary, the tool developed in this study is a sophisticated statistical pipeline to analyze the AAO in genome-wide association studies of AD, to find new molecular targets as a new line of translational research to foster drug discovery.

Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy.

Leprosy is an important cause of disability in the developing world. Early diagnosis is essential to allow for cure and to interrupt transmission of this infection. MicroRNAs (miRNAs) are important factors for host-pathogen interaction and they have been identified as biomarkers for various infectious diseases. The expression profile of 377 microRNAs were analyzed by TaqMan low-density array (TLDA) in skin lesions of tuberculoid and lepromatous leprosy patients as well as skin specimens from healthy controls. In a second step, 16 microRNAs were selected for validation experiments with reverse transcription-quantitative PCR (qRT-PCR) in skin samples from new individuals. Principal-component analysis followed by logistic regression model and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of selected miRNAs. Four patterns of differential expression were identified in the TLDA experiment, suggesting a diagnostic potential of miRNAs in leprosy. After validation experiments, a combination of four miRNAs (miR-101, miR-196b, miR-27b, and miR-29c) was revealed as able to discriminate between healthy control and leprosy patients with 80% sensitivity and 91% specificity. This set of miRNAs was also able to discriminate between lepromatous and tuberculoid patients with a sensitivity of 83% and 80% specificity. In this work, it was possible to identify a set of miRNAs with good diagnostic potential for leprosy.

DNA damage after chronic oxytocin administration in rats: a safety yellow light?

Adjuvant therapy is a common therapeutic strategy used for schizophrenia management. Oxytocin has shown promising results as antipsychotic adjuvant in patients with schizophrenia. Although short-term clinical studies have indicated tolerability and no major side-effect manifestation, long-term studies remain needed. In this study, we investigated whether oxytocin chronic administration in rats may lead to brain DNA damage by comet assay. Our results suggest that 21 and 56-day treatment with once daily intraperitoneal oxytocin (0.1, 1.0 and 10.0 mg/kg) may cause substantial DNA damage in hippocampus. We have not found differences on body weight gain. Our findings also point that further clinical and preclinical studies evaluating oxytocin safety after chronic exposure are necessary.

Effects of primaquine and chloroquine on oxidative stress parameters in rats.

Primaquine and chloroquine are used for the treatment of malaria; evidence from the literature suggests that these drugs may induce oxidative stress. In this study we investigated the effects of primaquine and chloroquine on oxidative damage and DNA damage in brain, liver and kidney of rats after 7, 14 and 21 days of administration. Our results demonstrated that primaquine causes DNA damage in brain after 7, 14 and 21 days, and in liver after 7 and 14 days. Moreover, primaquine increases TBARS levels in the kidney and protein carbonyls in the brain after 14 days, and decreases protein carbonyls in the liver after 7 days. Whereas chloroquine causes DNA damage in the kidney after 7 and 14 days, and in the liver after 14 and 21 days, increases TBARS levels in the kidney after 7 days, and decreases TBARS levels in the brain after 21 days. Moreover, decreases protein carbonyls in the liver after 7 and 14 days, and in the brain after 7 and 21 days. However, chloroquine treatment for 14 days increases protein carbonyls in the brain and kidney. In conclusion, these results showed that prolonged treatment with antimalarial may adversely affect the DNA.

Meta-analysis of dopamine receptor D1 rs4532 polymorphism and susceptibility to antipsychotic treatment response.

Previous association results between dopamine D1 receptor (DRD1) rs4532 polymorphism and antipsychotic treatment response in schizophrenia and schizoaffective subjects have been conflicting. Thus, we have conducted a systematic review followed by a meta-analysis. Our results indicated no association between DRD1 rs4532 polymorphism and overall antipsychotic response or clozapine monotherapy response.