Endocannabinoid system alterations in schizophrenia: association with cannabis use and antipsychotic medication.

Determining peripheral modulation of the endocannabinoid system (ECS) may be important for differentiating individuals with schizophrenia. Such differentiation can also be extended to subgroups of individuals, those who use cannabis and antipsychotic medications, particularly those who are treatment resistant. Patients and controls were recruited from the outpatient clinic of the Psychosis Group of the University of São Paulo, Brazil. A final sample of 93 individuals was divided into 3 groups: patients with schizophrenia using clozapine (treatment-resistant) (n = 29), patients with schizophrenia using another antipsychotic (n = 31), and controls (n = 33). By measuring the proteins and metabolites involved in the ECS pathways in the peripheral blood, AEA (anandamide), 2-AG (2-arachidonoyl ethanolamine), and CB2 receptor (peripheral) were quantified. Individuals reporting lifetime cannabis use had lower 2-AG plasma levels (p = 0.011). Regarding the CB2 receptor, the values of patients with schizophrenia and controls were similar, but those of patients using antipsychotics other than clozapine differed (p = 0.022). In generalized linear models to control for confounders, the use of cannabis remained the only factor that significantly influenced 2-AG levels. The relationship for non-clozapine antipsychotics as the only factor related to CB2 changes was marginally significant. We found for the first time that cannabis use and non-clozapine antipsychotic medication are potentially involved in the modulation of the ECS, specifically influencing 2-AG endocannabinoid and CB2 receptor levels. More studies regarding the ECS are needed since it has been increasingly related to the physiopathology of schizophrenia.

Application of Lipidomics in Psychiatry: Plasma-Based Potential Biomarkers in Schizophrenia and Bipolar Disorder.

In this study, we obtained a lipidomic profile of plasma samples from drug-naïve patients with schizophrenia (SZ) and bipolar disorder (BD) in comparison to healthy controls. The sample cohort consisted of 30 BD and 30 SZ patients and 30 control individuals. An untargeted lipidomics strategy using liquid chromatography coupled with high-resolution mass spectrometry was employed to obtain the lipid profiles. Data were preprocessed, then univariate (t-test) and multivariate (principal component analysis and orthogonal partial least squares discriminant analysis) statistical tools were applied to select differential lipids, which were putatively identified. Afterward, multivariate receiver operating characteristic tests were performed, and metabolic pathway networks were constructed, considering the differential lipids. Our results demonstrate alterations in distinct lipid pathways, especially in glycerophospholipids, sphingolipids and glycerolipids, between SZ and BD patients. The results obtained in this study may serve as a basis for differential diagnosis, which is crucial for effective treatment and improving the quality of life of patients with psychotic disorders.

Genomic Surveillance of Monkeypox Virus, Minas Gerais, Brazil, 2022.

Phylogenetic analysis of 34 monkeypox virus genome sequences isolated from patients in Minas Gerais, Brazil, revealed initial importation events in early June 2022, then community transmission within the state. All generated genomes belonged to the B.1 lineage responsible for a global mpox outbreak. These findings can inform public health measures.

Potential use of high-resolution melting analyses for SARS-CoV-2 genomic surveillance.

The pandemic caused by COVID-19 and the emergence of new variants of SARS-CoV-2 have generated clinical and epidemiological impacts on a global scale. The use of strategies for monitoring viral circulation and identifying mutations in genomic regions involved in host interaction are important measures to mitigate viral dissemination and reduce its likely complications on population health. In this context, the objective of this work was to explore the potential of high-resolution melting (HRM) analysis combined with one-step real-time reverse transcription PCR in a closed-tube system, as a fast and convenient method of screening for SARS-CoV-2 mutations with possible implications on host-pathogen interactions. The HRM analyses allowed the distinction of the Gamma, Zeta, Alpha, Delta, and Omicron variants against the predecessors (B.1.1.28, B.1.1.33) of occurrence in Brazil. It is concluded that the molecular tool standardized here has the potential to optimize the genomic surveillance of SARS-CoV-2, and could be adapted for genomic surveillance of other pathogens, due to its ability to detect, prior to sequencing, samples suggestive of new variants, selecting them more assertively and earlier for whole genome sequencing when compared to random screening.

Ultrastructural analysis of monkeypox virus replication in Vero cells.

In early May 2022, the first worldwide monkeypox virus (MPXV) outbreak was reported, with different clinical aspects from previously studied human monkeypox infections. Despite monkeypox medical importance, much of its biological aspects remain to be further investigated. In the present work, we evaluated ultrastructural aspects of MPXV asynchronous infections in Vero cells by transmission electron microscopy (TEM). The viral strain was isolated from a male patient infected during the 2022 outbreak. TEM analysis showed: (i) adhered intracellular mature virus particles before entry of the host cell; (ii) a reorganization of the rough endoplasmic reticulum cisternae into the so-called "mini-nuclei" structure associated with genome replication; and (iii) noticeably different sites within the viral factory presenting granular or fibrillar aspects. We also observed viral crescents, different MPXV particle morphotypes, and cellular alterations induced by infection, such as changes in the cytoskeleton structure and multimembrane vesicles abundance. Taken together, to the best of our knowledge, these results revealed for the first-time ultrastructural aspects of different steps of the MPXV cycle.

Cannabinoids in Late Life Parkinson's Disease and Dementia: Biological Pathways and Clinical Challenges.

The use of cannabinoids as therapeutic drugs has increased among aging populations recently. Age-related changes in the endogenous cannabinoid system could influence the effects of therapies that target the cannabinoid system. At the preclinical level, cannabidiol (CBD) induces anti-amyloidogenic, antioxidative, anti-apoptotic, anti-inflammatory, and neuroprotective effects. These findings suggest a potential therapeutic role of cannabinoids to neurodegenerative disorders such as Parkinson's disease (PD) and Alzheimer. Emerging evidence suggests that CBD and tetrahydrocannabinol have neuroprotective therapeutic-like effects on dementias. In clinical practice, cannabinoids are being used off-label to relieve symptoms of PD and AD. In fact, patients are using cannabis compounds for the treatment of tremor, non-motor symptoms, anxiety, and sleep assistance in PD, and managing responsive behaviors of dementia such as agitation. However, strong evidence from clinical trials is scarce for most indications. Some clinicians consider cannabinoids an alternative for older adults bearing Parkinson's disease and Alzheimer's dementia with a poor response to first-line treatments. In our concept and experience, cannabinoids should never be considered a first-line treatment but could be regarded as an adjuvant therapy in specific situations commonly seen in clinical practice. To mitigate the risk of adverse events, the traditional dogma of geriatric medicine, starting with a low dose and proceeding with a slow titration regime, should also be employed with cannabinoids. In this review, we aimed to address preclinical evidence of cannabinoids in neurodegenerative disorders such as PD and AD and discuss potential off-label use of cannabinoids in clinical practice of these disorders.

Effect of pharmacotherapy on fibromyalgia: an overview of systematic reviews / Efeito da farmacoterapia na fibromialgia: uma overview de revisões sistemáticas

Fibromyalgia is a debilitating and chronic pain processing disorder, in which the proportion of patients who achieve good results with pharmacotherapy is small. However, choosing the best available evidence on pharmacotherapy can optimize patient clinical outcomes. Objective: This overview aimed to identify in systematic reviews the effects of pharmacotherapy on fibromyalgia, considering the quality of the reviews and the efficacy of the outcomes. Methods: This search was performed in seven databases: PubMed, Web of Science, COCHRANE, Lilacs, Embase, Scopus and IPA. The methodological quality was evaluated using A MeaSurement Tool to Assess Systematic Reviews 2. The protocol was registered in the PROSPERO database (CRD42018095943). Results: A total of 63 systematic reviews were selected after reading full texts, but only 8 of them were of moderate to high quality and were included in this overview. All included reviews were published in English, between 2012 and 2018, performed meta-analysis, used the American College of Rheumatology (1990) diagnostic criteria for fibromyalgia, and jointly assessed pain improvement, adverse reactions, and withdrawal. Most reviews included only randomized controlled trials. Of the fourteen drugs addressed in systematic reviews evaluated, duloxetine, milnacipran, and pregabalin showed evidence of improvement in pain (Moderate: ≤30%) and other fibromyalgia symptoms, as depression and fatigue. However, these medications presented significant withdrawals due to adverse reactions (mainly nausea, headache, dizziness and constipation). The rate of treatment withdrawal reached 36%. Conclusion: Few studies have high quality and sufficient evidence on the effect of medicines on fibromyalgia, resulting in a lack of support for prescribers to choose drugs that meet criteria for need, effectiveness, safety and compliance.

Fibromialgia é um distúrbio de processamento da dor debilitante e crônico, em que a proporção de pacientes que obtêm bons resultados com a farmacoterapia é pequena. No entanto, escolher a melhor evidência disponível sobre a farmacoterapia pode otimizar os resultados clínicos do paciente. Objetivo: Esta overview teve como objetivo identificar em revisões sistemáticas os efeitos da farmacoterapia na fibromialgia, considerando a qualidade das revisões e a eficácia dos resultados. Métodos: Esta busca foi realizada em sete bases de dados: PubMed, Web of Science, COCHRANE, Lilacs, Embase, Scopus e IPA. A qualidade metodológica foi avaliada usando A MeaSurement Tool to Assess Systematic Reviews 2. O protocolo foi registrado no PROSPERO (CRD42018095943). Resultados: Um total de 63 revisões sistemáticas foram selecionadas após a leitura de textos completos, mas apenas 8 delas eram de qualidade moderada a alta e foram incluídas nesta overview. Todas as revisões incluídas foram publicadas em inglês, entre 2012 e 2018, realizaram meta-análises, utilizaram os critérios de diagnósticos do American College of Rheumatology (1990) para fibromialgia e avaliaram conjuntamente a melhora da dor, reações adversas e retiradas. A maioria das revisões incluiu apenas ensaios clínicos randomizados. Dos quatorze medicamentos abordados nas revisões sistemáticas avaliadas, duloxetina, milnaciprano e pregabalina mostraram evidências de melhora da dor (moderada: ≤30%) e de outros sintomas da fibromialgia como depressão e fadiga. No entanto, esses medicamentos apresentaram retiradas significativas devido a reações adversas (principalmente náusea, cefaleia, tontura e constipação). A taxa de abandono ao tratamento chegou a 36%. Conclusão: Poucos estudos apresentam evidências suficientes e de alta qualidade sobre o efeito dos medicamentos na fibromialgia, resultando na falta de apoio para os prescritores escolherem medicamentos que atendam aos critérios de necessidade, eficácia, segurança e adesão.

Tracking the turnover of SARS-CoV-2 VOCs Gamma to Delta in a Brazilian state (Minas Gerais) with a high-vaccination status.

The emergence and global dissemination of Severe Acute Respiratory Syndrome virus 2 (SARS-CoV-2) variants of concern (VOCs) have been described as the main factor driving the Coronavirus Disease 2019 pandemic. In Brazil, the Gamma variant dominated the epidemiological scenario during the first period of 2021. Many Brazilian regions detected the Delta variant after its first description and documented its spread. To monitor the introduction and spread of VOC Delta, we performed Polymerase Chain Reaction (PCR) genotyping and genome sequencing in ten regional sentinel units from June to October 2021 in the State of Minas Gerais (MG). We documented the introduction and spread of Delta, comprising 70 per cent of the cases 8 weeks later. Comparing the viral loads of the Gamma and Delta dominance periods, we provide additional evidence that the latter is more transmissible. The spread and dominance of Delta did not culminate in the increase in cases and deaths, suggesting that the vaccination may have restrained the epidemic growth. Analysis of 224 novel Delta genomes revealed that Rio de Janeiro state was the primary source for disseminating this variant in the state of MG. We present the establishment of Delta, providing evidence of its enhanced transmissibility and showing that this variant shift did not aggravate the epidemiological scenario in a high immunity setting.

Decision tree-based classification as a support to diagnosis in the Alzheimer's disease continuum using cerebrospinal fluid biomarkers: insights from automated analysis

Objective: Cerebrospinal fluid (CSF) biomarkers add accuracy to the diagnostic workup of cognitive impairment by illustrating Alzheimer's disease (AD) pathology. However, there are no universally accepted cutoff values for the interpretation of AD biomarkers. The aim of this study is to determine the viability of a decision-tree method to analyse CSF biomarkers of AD as a support for clinical diagnosis. Methods: A decision-tree method (automated classification analysis) was applied to concentrations of AD biomarkers in CSF as a support for clinical diagnosis in older adults with or without cognitive impairment in a Brazilian cohort. In brief, 272 older adults (68 with AD, 122 with mild cognitive impairment [MCI], and 82 healthy controls) were assessed for CSF concentrations of Aβ1-42, total-tau, and phosphorylated-tau using multiplexed Luminex assays; biomarker values were used to generate decision-tree algorithms (classification and regression tree) in the R statistical software environment. Results: The best decision tree model had an accuracy of 74.65% to differentiate the three groups. Cluster analysis supported the combination of CSF biomarkers to differentiate AD and MCI vs. controls, suggesting the best cutoff values for each clinical condition. Conclusion: Automated analyses of AD biomarkers provide valuable information to support the clinical diagnosis of MCI and AD in research settings.

Decision tree-based classification as a support to diagnosis in the Alzheimer's disease continuum using cerebrospinal fluid biomarkers: insights from automated analysis.

OBJECTIVE: Cerebrospinal fluid (CSF) biomarkers add accuracy to the diagnostic workup of cognitive impairment by illustrating Alzheimer's disease (AD) pathology. However, there are no universally accepted cutoff values for the interpretation of AD biomarkers. The aim of this study is to determine the viability of a decision-tree method to analyse CSF biomarkers of AD as a support for clinical diagnosis. METHODS: A decision-tree method (automated classification analysis) was applied to concentrations of AD biomarkers in CSF as a support for clinical diagnosis in older adults with or without cognitive impairment in a Brazilian cohort. In brief, 272 older adults (68 with AD, 122 with mild cognitive impairment [MCI], and 82 healthy controls) were assessed for CSF concentrations of Aß1-42, total-tau, and phosphorylated-tau using multiplexed Luminex assays; biomarker values were used to generate decision-tree algorithms (classification and regression tree) in the R statistical software environment. RESULTS: The best decision tree model had an accuracy of 74.65% to differentiate the three groups. Cluster analysis supported the combination of CSF biomarkers to differentiate AD and MCI vs. controls, suggesting the best cutoff values for each clinical condition. CONCLUSION: Automated analyses of AD biomarkers provide valuable information to support the clinical diagnosis of MCI and AD in research settings.

An Overview of the Methodologies and the Quality of Studies on Pharmacotherapy for the Treatment of Fibromyalgia.

BACKGROUND: It is often unclear whether systematic reviews and primary studies are de-signed to elucidate the efficacy or effectiveness of interventions. This may compromise the use of the information in clinical or policy decisions. OBJECTIVE: This overview aimed to evaluate the methodological profiles of studies on fibromyalgia pharmacotherapy in terms of the quality and nature of the interventions (efficacy versus effective-ness). METHODS: The protocol was registered in the International Prospective Register of Systematic Re-views database. Seven databases were searched for relevant publications. Systematic reviews inves-tigating the effectiveness or efficacy of fibromyalgia pharmacotherapy were included. Methodolog-ical quality was investigated using A MeaSurement Tool to Assess Systematic Reviews (AM-STAR), and efficacy andeffectiveness were evaluated using Rating of Included Trials on the Effica-cy-effectiveness Spectrum (RITES). RESULTS: In this overview, 4,107 studies were initially identified. 8 systematic reviews and 34 prima-ry studies remained after overlaps were removed. Of the eight systematic reviews, 4.76% (n=3) and 7.93% (n=5) were of moderate and high quality, respectively. An analysis of systematic reviews clearly showed the criteria "participants characteristics" and "trial setting" with the most frequent answers as scales 1 and 2 (strong emphasis on efficacy or rather strong emphasis on efficacy), re-spectively. RITES analysis revealed that the most frequent response was "strong emphasis on effi-cacy" in 68% (92/136) of primary studies. CONCLUSION: This analysis showed, in both systematic reviews and primary studies, a predominantly strong emphasis on efficacy, suggesting the need for methodological quality improvement in future studies, especially those designed to provide evidence related to effectiveness. The protocol for this overview has been registered in the International Prospective Register of Sys-tematic Reviews (PROSPERO; CRD42018095943).

Plasmatic endocannabinoids are decreased in subjects with ultra-high risk of psychosis.

The onset of frank psychosis is usually preceded by a prodromal phase characterized by attenuated psychotic symptoms. Currently, research on schizophrenia prodromal phase (ultra-high risk for psychosis [UHR]) has focused on the risk of developing psychosis, on the transition to full blown psychosis and on its prediction. Neurobiological differences between UHR individuals who fully recover (remitters) versus those who show persistent/progressive prodromal symptoms (nonremitters) have been little explored. The endocannabinoid system constitutes a neuromodulatory system that plays a major role in brain development, synaptic plasticity, emotional behaviours and cognition. It comprises two cannabinoid receptors (CB1/CB2), two endocannabinoid ligands, arachidonylethanolamide (AEA) and 2-arachidonoylglycerol (2AG) along with their inactivation enzymes. Despite much evidence that the endocannabinoid system is imbalanced during psychosis, very little is known about it in UHR. Therefore, we aimed to quantify the plasma endocannabinoid levels in UHR and healthy controls (HC) and verify if these metabolites could differentiate between remitters and nonremitters. Circulating concentrations of AEA (p = .003) and 2AG (p < .001) were lower in UHR when compared with HC, with no difference between remitters and nonremitters. Regarding clinical evolution, it was observed that out of 91 UHRs initially considered, 16 had psychiatric complaints (3 years of follow-up). Considering those subjects, there were weak correlations between clinical parameters and plasma concentrations of endocannabinoids. Our results suggest that the endocannabinoids are imbalanced before frank psychosis and that changes can be seen in plasma of UHR individuals. These molecules proved to be potential biomarkers to identify individuals in the prodromal phase of psychosis.

COX-2 pathway is upregulated in ultra-high risk individuals for psychosis.

BACKGROUND: The identification of Ultra-High Risk (UHR) individuals is thought to be useful for early intervention to improve psychosis outcomes. However, transition rates vary widely, and there is an effort to make these criteria more specific and accurate. Neuroinflammation has been discussed in the pathophysiology of psychosis. The metabolism of eicosanoids is a key process in inflammatory states. Therefore, we investigated whether the study of the inflammatory COX-2 pathway through the quantification of the eicosanoid levels can be a useful approach for the characterisation of UHR individuals. METHODS: One hundred and twenty-two individuals were included in this study (67 UHR and 55 controls) based on performance on the Prodromal Questionnaire. UHR status was assessed by Structured Interview for Prodromal Syndromes (SIPS). We determined the levels of Prostaglandin F2α (PGF2α), Prostaglandin E2 (PGE2), and Thromboxane B2 (TxB2) in plasma using ELISA assays. RESULTS: Concentrations of PGE2 and TxB2 were increased in UHR compared to controls (p = 0.01 and p < 0.05, respectively). PGE2 and PGF2α levels were correlated to negative symptoms (p < 0.01 and p < 0.05), whereas TxB2 correlated with positive symptoms (p = 0.05) as assessed by the SIPS. CONCLUSIONS: Our findings suggest that overactivation of the COX-2 pathway may be related to an increased risk for psychosis. However, our data do not allow us to draw conclusions related to the cause-effect mechanisms. Future studies should determine whether the levels of the eicosanoids have a predictive value for the transition of UHR to frank psychosis.

Seroprevalence estimate and risk factors for Coxiella burnetii infections among humans in a highly urbanised Brazilian state.

BACKGROUND: Q fever is among the top 13 global priority zoonoses, however, it is still neglected and under-reported in most of the world, including Brazil. Thus, we evaluated the seroprevalence of and the risk factors for Coxiella burnetii infections in humans from Minas Gerais, a highly urbanised Brazilian state. METHODS: Coxiella burnetii was searched for patient samples (n=437), which were suspected of then later confirmed as negative for dengue fever, by the indirect immunofluorescence technique and real-time PCR. Risk factors for infections and spatial clusters for both C. burnetii-seropositive individuals and livestock concentration were evaluated. RESULTS: We found that 21 samples (4.8%; 95% CI 3.0 to 7.2%) were reactive for at least one class of anti-C. burnetii antibodies (titer of ≥64), with rural residence (p=0.036) being a risk factor. Also, two spatial clusters of seropositivity were found within a significant area by Scan, and a probable relationship between the Scan result and the livestock concentration by area was found. CONCLUSIONS: Seropositive individuals were associated with rural residence, with a likely relationship with the livestock concentration. Thus, this study establishes baseline figures for C. burnetii seroprevalence in humans in a state of Brazil, allowing the monitoring of trends and setting of control targets, as well as more representative longitudinal and risk analysis studies.

Evaluation of the cephalometric centroid point in individuals before and after the pubertal growth peak / Avaliação do comportamento do ponto cefalométrico centróide em pacientes antes e após o pico de crescimento da puberdade

ABSTRACT Objective: The purpose of this study was to evaluate the behavior of the Centroid point, known as the geometric center of the face, before and after the growth peak using lateral cephalometric x-ray. Methods: Sample consisted of 40 patients before and after pubertal peak of growth selected from the archive of the São Leopoldo Mandic Institute and Research Center, Campinas, Brazil. Anatomical structures, reference points, lines and planes were traced, and posteriorly a superimposition was performed using the palatal plane and a line perpendicular to this passage through the most posterior point of the pterygomaxillary fossa as reference. Later, the distance between the two centroid points (before and after the peak of puberty) was measured using the digital caliper, both horizontally and vertically. The palatal plane (x-axis) and a line perpendicular to this passage through the most posterior point of the pterygomaxilary fossa (y-axis) were chosen because they undergo minimal changes during growth. Results: No significant difference on the location of Centroid points on both X and Y axis (p >0.05) were observed between before and after the growth peak cephalometric tracings, showing an average change in positioning of 0.36mm on the X axis and 0.37mm on the Y axis. Conclusions: For this reason, this point can be indicated to be used clinically as a stable reference to evaluate craniofacial growth while performing superimposition methods.

RESUMO Objetivo: O objetivo deste estudo foi utilizar telerradiografias lateriais de pacientes antes e depois do pico de crescimento, e realizar sobreposições de desenhos cefalométricos para avaliar o comportamento do ponto Centróide, o centro geométrico da face. Métodos: Foram selecionadas telerradiografias de norma lateral de 40 pacientes tomadas antes e depois de seu pico de puberdade do acervo de Ortodontia do Centro de Pesquisas Odontológicas São Leopoldo Mandic, na cidade de Campinas. As estruturas e traçados cefalométricos devidamente desenhados, foram sobrepostos tendo como referência estável o plano palatal e a linha perpendicular a esta que passe pelo ponto mais posterior da fossa pterigomaxilar. Em seguida foi medida a distância entre os dois pontos centroides (antes e após o pico de puberdade) por meio de paquímetro digital tanto no sentido horizontal quanto no vertical. O plano palatal (eixo x) e a linha perpendicular a esta que passe pelo ponto mais posterior da fossa pterigomaxilar (eixo y) foram escolhidos por sofrerem mínimas alterações nas suas direções durante o crescimento. Resultados: Não foi observada diferença estatisticamente significante na localização dos pontos Centróides em ambos os eixos X e Y (p>0,05) quando comparou-se os traçados antes e depois do pico de crescimento, mostrando uma alteração, em média, no posicionamento de 0,36mm no Eixo X e 0,37mm no Eixo Y. Conclusão: Assim, este ponto pode ser utilizado como referência estável para avaliação do crescimento craniofacial nas sobreposições.

Increased PLA2 activity in individuals at ultra-high risk for psychosis.

Phospholipase A2 is the main enzyme in the metabolism of membrane phospholipids. It comprises a family of enzymes divided into iPLA2, cPLA2 and sPLA2. Studies have reported increased PLA2 activity in psychotic patients, which suggests an accelerated breakdown of membrane phospholipids. In the present study we investigated whether increased PLA2 activity is also present in individuals at ultra-high risk (UHR) for psychosis. One-hundred fifty adults were included in this study (85 UHR and 65 controls). UHR was assessed using the "structured interview for prodromal syndromes". PLA2 activity was determined in platelets by a radio-enzymatic assay. We found in UHR individuals increased activities of iPLA2 (p < 0.001) and cPLA2 (p = 0.012) as compared to controls. No correlations were found between socio-demographic and clinical parameters and PLA2 activity. Our findings suggest that increased PLA2 activities may be useful as a biological risk-marker for psychotic disorders.

Epidemiology and evolution of Zika virus in Minas Gerais, Southeast Brazil.

Autochthonous Zika virus (ZIKV) transmission in Brazil was first identified in April 2015 in Brazil, with the first ZIKV-associated microcephaly cases detected in October 2015. Despite efforts on understanding ZIKV transmission in Brazil, little is known about the virus epidemiology and genetic diversity in Minas Gerais (MG), the second most populous state in the country. We report molecular and genomic findings from the main public health laboratory in MG. Until January 2020, 26,817 ZIKV suspected infections and 86 congenital syndrome cases were reported in MG state. We tested 8552 ZIKV and microcephaly suspected cases. Ten genomes were generated on-site directly from clinical samples. A total of 1723 confirmed cases were detected in Minas Gerais, with two main epidemic waves; the first and larger epidemic wave peaked in March 2016, with the second smaller wave that peaked in March 2017. Dated molecular clock analysis revealed that multiple introductions occurred in Minas Gerais between 2014 and 2015, suggesting that the virus was circulating unnoticed for at least 16 months before the first confirmed laboratory case that we retrospectively identified in December 2015. Our findings highlight the importance of continued genomic surveillance strategies combined with traditional epidemiology to assist public health laboratories in monitoring and understanding the diversity of circulating arboviruses, which might help attenuate the public health impact of infectious diseases.

The ongoing COVID-19 epidemic in Minas Gerais, Brazil: insights from epidemiological data and SARS-CoV-2 whole genome sequencing.

The recent emergence of a coronavirus (SARS-CoV-2), first identified in the Chinese city of Wuhan in December 2019, has had major public health and economic consequences. Although 61,888 confirmed cases were reported in Brazil by 28 April 2020, little is known about the SARS-CoV-2 epidemic in this country. To better understand the recent epidemic in the second most populous state in southeast Brazil - Minas Gerais (MG) - we sequenced 40 complete SARS-CoV-2 genomes from MG cases and examined epidemiological data from three Brazilian states. Both the genome analyses and the geographical distribution of reported cases indicate for multiple independent introductions into MG. Epidemiological estimates of the reproductive number (R) using different data sources and theoretical assumptions suggest the potential for sustained virus transmission despite a reduction in R from the first reported case to the end of April 2020. The estimated date of SARS-CoV-2 introduction into Brazil was consistent with epidemiological data from the first case of a returned traveller from Lombardy, Italy. These findings highlight the nature of the COVID-19 epidemic in MG and reinforce the need for real-time and continued genomic surveillance strategies to better understand and prepare for the epidemic spread of emerging viral pathogens..

Plasma Metabolite Profiles in First Episode Psychosis: Exploring Symptoms Heterogeneity/Severity in Schizophrenia and Bipolar Disorder Cohorts.

INTRODUCTION: The first symptoms of psychosis are frequently shared amongst several neuropsychiatry disorders, which makes the differentiation by clinical diagnosis challenging. Early recognition of symptoms is important in the management of psychosis. Therefore, the implementation of molecular biomarkers will be crucial for transforming the currently used diagnostic and therapeutic approach, improving insights into the underlying biological processes and clinical management. OBJECTIVES: To define a set of metabolites that supports diagnosis or prognosis of schizophrenia (SCZ) and bipolar disorder (BD) at first onset psychosis. METHODS: Plasma samples from 55 drug-naïve patients, 28 SCZ and 27 BD, and 42 healthy controls (HC). All participants underwent a seminaturalistic treatment regimen, clinically evaluated on a weekly basis until achieving clinical remission. All clinical or sociodemographic aspects considered for this study were equivalent between the groups at first-onset psychosis time point. The plasma samples were analyzed by untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) using reversed-phase and hydrophilic interaction chromatography. The acquired molecular features were analyzed with MetaboAnalyst. RESULTS: We identified two patient groups with different metabolite profiles. Both groups are composed of SCZ and BD patients. We found differences between these two groups regarding general symptoms of PANSS score after remission (p = 0.008), and the improvement of general symptoms (delta of the score at remission minus the baseline) (-0.50 vs. -0.33, p = 0.019). CONCLUSION: Our results suggest that plasma metabolite profiles cluster clinical remission phenotypes based on PANSS general psychopathology scores.

Virgin Coconut Oil Supplementation Prevents Airway Hyperreactivity of Guinea Pigs with Chronic Allergic Lung Inflammation by Antioxidant Mechanism.

Asthma is a chronic inflammatory disease of the airways characterized by immune cell infiltrates, bronchial hyperresponsiveness, and declining lung function. Thus, the possible effects of virgin coconut oil on a chronic allergic lung inflammation model were evaluated. Morphology of lung and airway tissue exhibited peribronchial inflammatory infiltrate, epithelial hyperplasia, and smooth muscle thickening in guinea pigs submitted to ovalbumin sensitization, which were prevented by virgin coconut oil supplementation. Additionally, in animals with lung inflammation, trachea contracted in response to ovalbumin administration, showed a greater contractile response to carbachol (CCh) and histamine, and these responses were prevented by the virgin coconut oil supplementation. Apocynin, a NADPH oxidase inhibitor, did not reduce the potency of CCh, whereas tempol, a superoxide dismutase mimetic, reduced potency only in nonsensitized animals. Catalase reduced the CCh potency in nonsensitized animals and animals sensitized and treated with coconut oil, indicating the participation of superoxide anion and hydrogen peroxide in the hypercontractility, which was prevented by virgin coconut oil. In the presence of L-NAME, a nitric oxide synthase (NOS) inhibitor, the CCh curve remained unchanged in nonsensitized animals but had increased efficacy and potency in sensitized animals, indicating an inhibition of endothelial NOS but ineffective in inhibiting inducible NOS. In animals sensitized and treated with coconut oil, the CCh curve was not altered, indicating a reduction in the release of NO by inducible NOS. These data were confirmed by peribronchiolar expression analysis of iNOS. The antioxidant capacity was reduced in the lungs of animals with chronic allergic lung inflammation, which was reversed by the coconut oil, and confirmed by analysis of peribronchiolar 8-iso-PGF2α content. Therefore, the virgin coconut oil supplementation reverses peribronchial inflammatory infiltrate, epithelial hyperplasia, smooth muscle thickening, and hypercontractility through oxidative stress and its interactions with the NO pathway.