Representações Sociais e influência social em comentários publicados no Instagram do Ministério da Saúde sobre a COVID-19

Given the importance of preventive behaviors in the face of the COVID-19 pandemic, we sought to discuss the phenomenon of social influence and its informational dimension of social representations (RS), based on comments in a post about the new coronavirus made by the Ministry of Health. Health on Instagram. It started with a theoretical discussion based on the Theory of Social Representations (TRS), more specifically using a dimensional approach to SR. This is a qualitative documentary research of the descriptive-exploratory type. We analyzed 1,805 comments about a publication by the Ministry of Health on Instagram, made on March 18, 2020, on the epidemiological situation of COVID-19. A Thematic-Categorial Content Analysis was carried out, identifying the following categories: 1) Containment of collective dissemination; 2) Economic implications; 3) Coping strategies; 4) Anxiety; 5) Media information; 6) Social comparisons with other affected countries. The dimensions of information, attitude and field were identified. The identified SR is anchored to the notion of threat to health and the global economy. The moment of uncertainty favors informational influence, which can have a negative impact on the population, as well as favoring prevention actions.Dada la importancia de las conductas preventivas frente a la pandemia de la COVID-19, buscamos discutir el fenómeno de la influencia social y su dimensión informativa de las representaciones sociales (RS), a partir de los comentarios en un post sobre el nuevo coronavirus realizado por el Ministerio de Salud Salud en Instagram. Se inició con una discusión teórica basada en la Teoría de las Representaciones Sociales (TRS), más específicamente utilizando un enfoque dimensional de RS. Se trata de una investigación documental cualitativa del tipo descriptivo-exploratorio. Analizamos 1.805 comentarios sobre una publicación del Ministerio de Salud en Instagram, realizada el 18 de marzo de 2020, sobre la situación epidemiológica del COVID-19. Se realizó un Análisis de Contenido Temático-Categorial, identificándose las siguientes categorías: 1) Contención de la difusión colectiva; 2) implicaciones económicas; 3) estrategias de afrontamiento; 4) Ansiedad; 5) Información de los medios; 6) Comparaciones sociales con otros países afectados. Se identificaron las dimensiones de información, actitud y campo. La RS identificada está anclada a la noción de amenaza para la salud y la economía global. El momento de incertidumbre favorece la influencia informativa, que puede tener un impacto negativo en la población, además de favorecer las acciones de prevención.Diante da importância dos comportamentos de prevenção frente à pandemia de COVID-19, buscou-se discutir o fenômeno da influência social e sua dimensão informacional das representações sociais (RS), a partir de comentários em um post sobre o novo coronavírus feito pelo Ministério da Saúde no Instagram. Partiu-se de uma discussão teórica com base na Teoria das Representações Sociais (TRS), mais especificamente utilizando de uma abordagem dimensional das RS. Trata-se de uma pesquisa documental qualitativa do tipo descritiva-exploratória. Foram analisados 1.805 comentários acerca de uma publicação do Ministério de Saúde no Instagram, feita no dia 18 de março de 2020 sobre a situação epidemiológica da COVID-19. Realizou-se Análise de Conteúdo Temático-Categorial, identificando as seguintes categorias: 1) Contenção da disseminação coletiva; 2) Implicações econômicas; 3) Estratégias de enfrentamento; 4) Ansiedade; 5) Informações midiáticas; 6) Comparações sociais com outros países afetados. Identificou-se as dimensões de informação, atitude e campo. A RS identificada ancora-se à noção de ameaça à saúde e à economia global. O momento de incerteza favorece a influência informacional, que pode repercutir de modo negativo na população, como também favorecer as ações de prevenção

Parkinson's disease in GTP cyclohydrolase 1 mutation carriers.

"This is the peer reviewed version of the following article: Mencacci et al. 2014. Parkinson’s disease in GTP cyclohydrolase 1 mutation carriers, which has been published in final form at Brain, Volume 137, Issue 9, 1 September 2014, Pages 2480–2492, https://doi.org/10.1093/brain/awu179. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions."GTP cyclohydrolase 1, encoded by the GCH1 gene, is an essential enzyme for dopamine production in nigrostriatal cells. Loss-of-function mutations in GCH1 result in severe reduction of dopamine synthesis in nigrostriatal cells and are the most common cause of DOPA-responsive dystonia, a rare disease that classically presents in childhood with generalized dystonia and a dramatic long-lasting response to levodopa. We describe clinical, genetic and nigrostriatal dopaminergic imaging ([(123)I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) tropane single photon computed tomography) findings of four unrelated pedigrees with DOPA-responsive dystonia in which pathogenic GCH1 variants were identified in family members with adult-onset parkinsonism. Dopamine transporter imaging was abnormal in all parkinsonian patients, indicating Parkinson's disease-like nigrostriatal dopaminergic denervation. We subsequently explored the possibility that pathogenic GCH1 variants could contribute to the risk of developing Parkinson's disease, even in the absence of a family history for DOPA-responsive dystonia. The frequency of GCH1 variants was evaluated in whole-exome sequencing data of 1318 cases with Parkinson's disease and 5935 control subjects. Combining cases and controls, we identified a total of 11 different heterozygous GCH1 variants, all at low frequency. This list includes four pathogenic variants previously associated with DOPA-responsive dystonia (Q110X, V204I, K224R and M230I) and seven of undetermined clinical relevance (Q110E, T112A, A120S, D134G, I154V, R198Q and G217V). The frequency of GCH1 variants was significantly higher (Fisher's exact test P-value 0.0001) in cases (10/1318 = 0.75%) than in controls (6/5935 = 0.1%; odds ratio 7.5; 95% confidence interval 2.4-25.3). Our results show that rare GCH1 variants are associated with an increased risk for Parkinson's disease. These findings expand the clinical and biological relevance of GTP cycloydrolase 1 deficiency, suggesting that it not only leads to biochemical striatal dopamine depletion and DOPA-responsive dystonia, but also predisposes to nigrostriatal cell loss. Further insight into GCH1-associated pathogenetic mechanisms will shed light on the role of dopamine metabolism in nigral degeneration and Parkinson's disease.This study was supported by the Wellcome Trust/Medical Research Council (MRC) Joint Call in Neurodegeneration award (WT089698) to the UK Parkinson's Disease Consortium. This project was also supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre and the Grigioni Foundation for Parkinson Disease. This work was also supported in part by the Intramural Research Programs of the National Institute of Neurological Disorders and Stroke (NINDS), the National Institute on Aging (NIA), and the National Institute of Environmental Health Sciences both part of the National Institutes of Health, Department of Health and Human Services; project numbers Z01-AG000949-02 and Z01-ES101986. In addition this work was supported by the Department of Defense (award W81XWH-09-2-0128), and the Michael J Fox Foundation for Parkinson’s Disease Research. This work was supported by National Institutes of Health grants R01NS037167, R01CA141668, American Parkinson Disease Association (APDA); Barnes Jewish Hospital Foundation; Greater St Louis Chapter of the APDA; Hersenstichting Nederland; Neuroscience Campus Amsterdam; the Deutsche Forschungsgemeinschaft (SFB 936). This study was also funded by the German National Genome Network (NGFNplus number 01GS08134, German Ministry for Education and Research); by the German Federal Ministry of Education and Research (NGFN 01GR0468, PopGen); and 01EW0908 in the frame of ERA-NET NEURON and Helmholtz Alliance Mental Health in an Ageing Society (HA-215), which was funded by the Initiative and Networking Fund of the Helmholtz Association. Funding for the project was provided by the Wellcome Trust under award 076113, 085475 and 090355. The work was also funded in part by Parkinson's UK (Grants 8047 and J-1101) and the Medical Research Council UK (G0700943, G1100643) for H.R.M and S.J.L

Software for the frontiers of quantum chemistry:An overview of developments in the Q-Chem 5 package

This article summarizes technical advances contained in the fifth major release of the Q-Chem quantum chemistry program package, covering developments since 2015. A comprehensive library of exchange–correlation functionals, along with a suite of correlated many-body methods, continues to be a hallmark of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and configuration-interaction approaches along with methods based on the algebraic diagrammatic construction and variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, methods for computing vibronic spectra, the nuclear–electronic orbital method, and several different energy decomposition analysis techniques. High-performance capabilities including multithreaded parallelism and support for calculations on graphics processing units are described. Q-Chem boasts a community of well over 100 active academic developers, and the continuing evolution of the software is supported by an “open teamware” model and an increasingly modular design

mTOR target NDRG1 confers MGMT-dependent resistance to alkylating chemotherapy

A hypoxic microenvironment induces resistance to alkylating agents by activating targets in the mammalian target of rapamycin (mTOR) pathway. The molecular mechanisms involved in this mTOR-mediated hypoxia-induced chemoresistance, however, are unclear. Here we identify the mTOR target N-myc downstream regulated gene 1 (NDRG1) as a key determinant of resistance toward alkylating chemotherapy, driven by hypoxia but also by therapeutic measures such as irradiation, corticosteroids, and chronic exposure to alkylating agents via distinct molecular routes involving hypoxia-inducible factor (HIF)-1alpha, p53, and the mTOR complex 2 (mTORC2)/serum glucocorticoid-induced protein kinase 1 (SGK1) pathway. Resistance toward alkylating chemotherapy but not radiotherapy was dependent on NDRG1 expression and activity. In posttreatment tumor tissue of patients with malignant gliomas, NDRG1 was induced and predictive of poor response to alkylating chemotherapy. On a molecular level, NDRG1 bound and stabilized methyltransferases, chiefly O(6)-methylguanine-DNA methyltransferase (MGMT), a key enzyme for resistance to alkylating agents in glioblastoma patients. In patients with glioblastoma, MGMT promoter methylation in tumor tissue was not more predictive for response to alkylating chemotherapy in patients who received concomitant corticosteroids

Parkinson's disease in GTP cyclohydrolase 1 mutation carriers

GTP cyclohydrolase 1, encoded by the GCH1 gene, is an essential enzyme for dopamine production in nigrostriatal cells. Loss-of-function mutations in GCH1 result in severe reduction of dopamine synthesis in nigrostriatal cells and are the most common cause of DOPA-responsive dystonia, a rare disease that classically presents in childhood with generalized dystonia and a dramatic long-lasting response to levodopa. We describe clinical, genetic and nigrostriatal dopaminergic imaging ([(123)I]N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) tropane single photon computed tomography) findings of four unrelated pedigrees with DOPA-responsive dystonia in which pathogenic GCH1 variants were identified in family members with adult-onset parkinsonism. Dopamine transporter imaging was abnormal in all parkinsonian patients, indicating Parkinson's disease-like nigrostriatal dopaminergic denervation. We subsequently explored the possibility that pathogenic GCH1 variants could contribute to the risk of developing Parkinson's disease, even in the absence of a family history for DOPA-responsive dystonia. The frequency of GCH1 variants was evaluated in whole-exome sequencing data of 1318 cases with Parkinson's disease and 5935 control subjects. Combining cases and controls, we identified a total of 11 different heterozygous GCH1 variants, all at low frequency. This list includes four pathogenic variants previously associated with DOPA-responsive dystonia (Q110X, V204I, K224R and M230I) and seven of undetermined clinical relevance (Q110E, T112A, A120S, D134G, I154V, R198Q and G217V). The frequency of GCH1 variants was significantly higher (Fisher's exact test P-value 0.0001) in cases (10/1318 = 0.75%) than in controls (6/5935 = 0.1%; odds ratio 7.5; 95% confidence interval 2.4-25.3). Our results show that rare GCH1 variants are associated with an increased risk for Parkinson's disease. These findings expand the clinical and biological relevance of GTP cycloydrolase 1 deficiency, suggesting that it not only leads to biochemical striatal dopamine depletion and DOPA-responsive dystonia, but also predisposes to nigrostriatal cell loss. Further insight into GCH1-associated pathogenetic mechanisms will shed light on the role of dopamine metabolism in nigral degeneration and Parkinson's disease

Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

This article summarizes technical advances contained in the fifth major release of the Q-Chem quantum chemistry program package, covering developments since 2015. A comprehensive library of exchange-correlation functionals, along with a suite of correlated many-body methods, continues to be a hallmark of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and configuration-interaction approaches along with methods based on the algebraic diagrammatic construction and variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, methods for computing vibronic spectra, the nuclear-electronic orbital method, and several different energy decomposition analysis techniques. High-performance capabilities including multithreaded parallelism and support for calculations on graphics processing units are described. Q-Chem boasts a community of well over 100 active academic developers, and the continuing evolution of the software is supported by an "open teamware"model and an increasingly modular design