Screening and bioinformatics analysis of key autophagy-related genes in alcoholic hepatitis / 器官移植

Objective To screen key autophagy-related genes in alcoholic hepatitis (AH) and investigate potential biomarkers and therapeutic targets for AH. Methods Two AH gene chips in Gene Expression Omnibus (GEO) and autophagy-related data sets obtained from MSigDB and GeneCards databases were used, and the key genes were verified and obtained by weighted gene co-expression network analysis (WGCNA). The screened key genes were subject to gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction (PPI) and immune infiltration analyses. Messenger RNA (mRNA)- microRNA (miRNA) network was constructed to analyze the expression differences of key autophagy-related genes during different stages of AH, which were further validated by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) in the liver tissues of AH patients and mice. Results Eleven autophagy-related genes were screened in AH (EEF1A2, CFTR, SOX4, TREM2, CTHRC1, HSPB8, TUBB3, PRKAA2, RNASE1, MTCL1 and HGF), all of which were up-regulated. In the liver tissues of AH patients and mice, the relative expression levels of SOX4, TREM2, HSPB8 and PRKAA2 in the AH group were higher than those in the control group. Conclusions SOX4, TREM2, HSPB8 and PRKAA2 may be potential biomarkers and therapeutic targets for AH.

Análisis dinámico de un equipo interprofesional que implementa un programa de atención psicosocial a víctimas de la guerra / Dynamic analysis of an interprofessional team implementing a psychosocial intervention program for war victims

Resumen Este estudio analiza los cambios estructurales experimentados por un equipo interprofesional que implementa un programa de intervención psicosocial dirigido a víctimas de la guerra en Colombia. Los equipos están compuestos por psicólogos, trabajadores sociales y facilitadores comunitarios que proporcionan atención a nivel individual, familiar y comunitario. Se aplicaron métodos de evaluación estructural para identificar cambios en la cohesión de las redes de reconocimiento entre profesionales, así como la preferencia para colaborar y el intercambio de información enviada y recibida. La recogida de información se produjo en dos series temporales -tiempo 1 (T1) y tiempo 2 (T2)- con un intervalo de tres meses. Se utilizó una estadística aplicada al análisis de datos relacionales para determinar los cambios en las redes en T1 y T2. En el período de referencia se incrementó la densidad en las redes de reconocimiento [. = 1.7105, (IC 95 %: -.0123 - .185), . < .0444] y de preferencia para trabajar [. = 2.0942, (IC 95 %: .005 - .1521), . < .0218]. Las redes de intercambio de información no experimentaron cambios significativos. Las regresiones múltiples a nivel diádico indican que la preferencia para trabajar e intercambiar información en T1, predicen el intercambio de información relativo tanto a peticiones de información recibidas como enviadas en T2. Se discuten los resultados para optimizar la implementación de programas de intervención psicosocial desarrolladas por equipos interprofesionales.

Abstract The study analyzes the structural changes experienced by an interprofessional team implementing a psychosocial intervention program for victims of war in Colombia. The program is called "PAPSIVI" (Programa de Atención Psicosocial y Salud Integral a Víctimas), which has been operating in Colombia since 2013, thanks to Law 1448 of 2011 to improve the quality of life and repair the damage of the victims of the armed conflict in Colombia. It only served people registered in the Single Registry of Victims (RUV), which had 9'165,126 records throughout the country until September 2021. This program follows a comprehensive and restorative approach that defines victims as protagonists of their own process of empowerment and positive change (Laplante and Holguin, 2006; Thompson, 1996). For this purpose, a multilevel intervention is carried out at the individual, family and community levels. The program is implemented by teams of professionals (psychologists, social workers and community facilitators) of varying sizes depending on the number of victims served in the municipalities. Psychologists provide individual psychological care and, to a lesser extent, family therapy is also offered to try to repair psychosocial damage from exposure to situations of violence (Oficina de Promoción Social, 2017). Social workers carry out community interventions to promote the associative fabric and social capital. Community promoters are facilitators and connect professionals with the potential beneficiaries of the intervention. The latter are very important, having themselves the status of victims, which increases the ecological validity of the intervention. Due to the characteristics of the implementation of this initiative, which takes into account the difficulties of the context (with situations of deprivation and vulnerability), as well as the particularities of the participants, it is valid to ask in this research what are the structural changes experienced by the teams of professionals who implement PAPSIVI. For this, structural evaluation methods were applied to identify changes in the cohesion of recognition networks among professionals, the preference to collaborate and the exchange of information sent and received. Data collection took place in two time series (T1 before - T2 after) with an interval of three months. Statistics applied to relational data analysis were used to determine changes in the networks at time T2. In the results it was found that in the baseline period the density in the recognition [t = 1.7105, (95 % CI: -.0123 - .185), p < .0444] and work preference [t = 2.0942, (95 % CI: .005 - .1521), p < .0218] networks increased. Information exchange networks did not experience significant changes. Multiple regressions at the dyadic level indicate that the preference for working and exchanging information at T1 predicts information exchange relative to both information requests received and sent at T2. It is concluded that the results shed light for: (a) optimize the design of psychosocial intervention teams; (b) improve their functioning by introducing horizontal organizational communication tools (among the members of each team), transversal (among the members of the teams implementing the program in different municipalities), and vertical (by promoting communication between professionals and program managers/responsible persons), and (c) achieve that changes in the structure of the teams serve as a diagnostic tool for functional problems of the team associated with the exchange of professional information and the referral of users. Ultimately, better integration of the teams leads to better psychosocial profiles of the users of programs such as PAPSIVI and allows them to better adapt their activities to the needs of the users, which improves the effectiveness of the intervention (Virto, 2021).

Fear of Covid-19, anxiety, and depression during the pandemic: A network analysis

Introduction: Covid-19 has generated several psychological impacts on people's lives and brought new challenges for dealing with the pandemic's repercussions. Objective: The objective was to analyse the relationship between the symptoms of fear of Covid-19, anxiety, and depression using different samples extracted at three distinct time-points. This study performed a network analysis of the fear of Covid-19 and anxiety- and depression -related symptoms based on data collected during the Covid-19 pandemic. Method: Three yearly cross-sectional surveys were conducted based on independent samples (2020-2022) of Brazilian adults (Time-point 1, Time-point 2, and Time-point 3 with 1,520, 1,523, and 1,517 participants, respectively). The Fear of Covid-19 Scale, the Generalised Anxiety Disorder Scale (7 items), and the Patient Health Questionnaire (9 items) were applied. The network structure invariance, the global strength invariance, and the strength of centrality index between the samples were compared. Results: Items from the three instruments had high values (>70%) in all samples (excluding the fear of Covid-19 at Time-point 3). Depression and anxiety symptoms increased, while fear-related behaviours decreased. Network analysis indicates that networks became progressively more parsimonious, and few edges connected different scales. Network comparisons revealed similar structures, but key differences were found: Time-point 1 showed significantly higher global connectivity, and changes in edge weights were observed only within the scales. Conclusions: Our findings suggest that the pandemic had a greater disorganising impact at its beginning, with a continuous increase in the mental health symptomatology and a reduction in the ratio between fear and anxiety and/or depression.

Introducción: El COVID-19 generó varios impactos psicológicos en la vida de las personas imponiendo nuevos desafíos para confrontar la pandemia. Objetivo: Analizar la relación entre los síntomas de miedo al COVID-19, ansiedad y depresión utilizando diferentes muestras extraídas durante tres períodos de tiempo distintos. Fueron analizadas redes del miedo y los síntomas de ansiedad y depresión usando datos recolectados durante la pandemia de COVID-19. Método: Tres encuestas transversales anuales basadas en muestras independientes (2020-2022) de adultos brasileños (punto temporal 1, punto temporal 2 y punto temporal 3 con 1520, 1523 y 1517 participantes, respectivamente). Se aplicaron la Escala de Miedo al COVID-19, la Escala de Trastorno de Ansiedad Generalizada (7 ítems) y el Cuestionario de Salud del Paciente (9 ítems). Se compararon la invariancia de la estructura de la red, la invariancia de la fuerza global y la fuerza del índice de centralidad entre los tres puntos temporales. Resultados: Los ítems de los tres instrumentos tuvieron valores altos (> 70 %) en todos los puntos temporales (excluyendo el miedo al COVID-19 en el punto temporal 3). A lo largo de los tres puntos temporales, los síntomas de depresión y ansiedad aumentaron, mientras que el miedo disminuyó. Las redes se volvieron progresivamente más parsimoniosas y pocas aristas conectaron diferentes escalas, con estructuras similares. Conclusiones: La pandemia tuvo un mayor impacto desorganizador en su inicio, con un aumento continuo de la sintomatología de salud mental y una disminución de la relación entre miedo y ansiedad o depresión.

Fatores associados aos comportamentos ativo e sedentário em adolescentes brasileiros: uma análise de redes / Factors associated with active and sedentary behaviors in Brazilian adolescents: a network analysis

O presente estudo verificou a associação entre variáveis sociodemográficas, características da esco-la, nível de atividade física (AF) e comportamento sedentário (CS) em adolescentes brasileiros. A amostra foi composta por 71.903 adolescentes entre 13 e 16 anos (52,8% meninas), matriculados no último ano do ensino fundamental, em escolas públicas e privadas do Brasil, participantes da terceira edição da Pesquisa Nacional da Saúde do Escolar (PeNSE). As informações foram recolhidas através de questionário. O tempo de AF na aula de Educação Física e extra aula de Educação Física, o tempo em deslocamento ativo e o tempo em CS foram associados às variáveis sociodemográficas (tipo de município, local da escola, escolaridade da mãe, percepção de insegurança, idade e sexo) e características da escola (tipo de escola e quadra disponível para uso). Utilizou-se a análise de rede. Quanto ao comportamento ativo, a topologia de rede mostrou que os meninos são mais ativos do que as meninas, principalmente na AF extra aula de Educação Física. Além disso, os resultados revelaram um maior tempo de AF na aula de Educação Física para os meninos, estudantes cujas mães apresentavam maior escolaridade, matriculados em escolas privadas e com quadra disponível para uso. Os estudantes matriculados em escolas públicas apresentaram maior tempo de AF em deslocamento ativo. Quanto ao CS, jovens do contexto urbano apresentaram maior exposição quando comparados aos pares do contexto rural. Conclui-se que as características sociodemográficas e da escola estão relacionadas com os comportamentos dos adolescentes brasileiros em todos os domínios da AF e no CS

The present study aimed to verify the association of sociodemographic correlates and school characteristics with levels of physical activity (PA) and sedentary behavior (SB) of Brazilian adolescents. The sample consisted of 71,903 adolescents between 13 and 16 years old (52.8% girls), enrolled in the last year in public and pri-vate elementary schools of Brazil, participants of the third edition of the National Survey of School Health (PeNSE). The time of PA in Physical Education class and extra Physical Education class, time in active commuting and time in SB were related to sociodemographic variables (type of municipality, place where the school is located, mother's schooling, perception of insecurity, age and gender) and school characteristics (type of school, block available for use). Data were analyzed using network analysis. The network topology showed that boys are more active than girls, especially in extra Physical Education`s PA. In addition, boys, students whose mothers have higher education, enrolled in private schools, which have a court available for use, have a positive association with longer time spent in PA in physical education classes. Students enrolled in public schools had a positive association with time spent in active commuting PA. As for SB, young people from the urban context are more exposed to SB than rural context. It was concluded that sociodemographic correlates and characteristics of the school were associated with all domains of the physical activity and sedentary behavior

Tecnologías de información para lucha anticorrupción: análisis de la contratación pública costarricense / Tecnologias da informação para a luta contra a corrupção: análise da contratação pública costarriquenha / Information technologies for countering corruption: analysis of the Costa Rican public procurement system

Resumen La corrupción es un fenómeno con consecuencias desastrosas para el bienestar económico, social y político de nuestras sociedades. En particular, la contratación pública es vulnerable debido al elevado valor económico de sus transacciones. La presente investigación analiza el rol que las tecnologías de información pueden jugar en la lucha anticorrupción. Desarrollamos un caso basado en datos abiertos de contrataciones públicas en Costa Rica, con la finalidad de identificar los conceptos principales asociados al sistema de información subyacente. El caso muestra el potencial de las herramientas tecnológicas de análisis de redes sociales para contrarrestar la complejidad de las redes de corrupción. Asimismo, se evidencia la necesidad de disponer de un ecosistema rico en datos anticorrupción, preferiblemente en formato abierto.

Resumo: A corrupção é um fenômeno com consequências desastrosas para o bem-estar econômico, social e político das nossas sociedades. Em particular, a contratação pública é um fator altamente vulnerável devido ao alto valor econômico de suas transações. A pesquisa analisa o papel que as tecnologias da informação podem desempenhar no combate à corrupção. Além disso, desenvolvemos um caso baseado em dados abertos sobre compras públicas na Costa Rica, a fim de identificar os principais conceitos associados ao sistema de informação subjacente. O caso mostra o potencial das ferramentas tecnológicas de análise de redes sociais para ir de encontro a complexidade das redes de corrupção. Mostra também a necessidade de um ecossistema diversificado e sustentável de dados anticorrupção - preferencialmente em formato aberto.

Abstract Corruption has disastrous consequences for the well-being of societies. In particular, public procurement is a highly vulnerable factor due to the high value of its transactions. This research analyzes the role that information technologies can play in the fight against corruption. We developed a case based on open data on public procurement in Costa Rica to identify the main concepts associated with the underlying information system. The case shows the potential of technological tools for social network analysis to counter the complexity of corruption networks. It also shows the need for a rich ecosystem of anti-corruption data - preferably in an open format.

Identification of key immune related genes in diabetes retinopathy based on weighted gene co-expression network / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To explore the key genes related to immunity and immune cell infiltration levels in diabetes retinopathy(DR)using bioinformatics.METHODS: Differential expression genes(DEGs)were obtained by “limma” R from Gene Expression Omnibus(GEO)data from September to October 2022, Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)were analyzed, and the infiltration of immune cell types in each sample was calculated based on CIBERSORT algorithm. Weighted gene co-expression network analysis(WGCNA)was used to screen for DEGs in immune-related gene modules. The protein-protein interaction(PPI)network was established by STRING online database and Cytoscape, and the hub genes were screened by MCODE and cytoHubba plug-ins.RESULTS: The results showed that 1 426 up-regulated and 206 down-regulated differential genes were screened, where 7 immune cell types, including B cell naive, Plasma cells, CD4+T cells, T cells regulatory(Tregs), Macrophages M0, Macrophages M1 and Neutrophils were significantly overexpressed(P&#x003C;0.05), while others were low expressed(P&#x003C;0.05). After WGCNA, a total of 820 DEGs were found in the modules most related to immunity. After constructing the PPI network, 10 key genes were screened using plug-ins, and two key genes were further screened using the expression amount of each differential gene in PPI: DLGAP5 and AURKB.CONCLUSION: This study used bioinformatics to screen the infiltration of immune cells and key genes related to immunity in patients with DR. These findings may provide evidences for future research, diagnosis, and treatment of DR.

Identification of M1 macrophage-related genes in rejection after kidney transplantation based on weighted gene co-expression network analysis / 器官移植

Objective To identify M1 macrophage-related genes in rejection after kidney transplantation and construct a risk prediction model for renal allograft survival. Methods GSE36059 and GSE21374 datasets after kidney transplantation were downloaded from Gene Expression Omnibus (GEO) database. GSE36059 dataset included the samples from the recipients with rejection and stable allografts. Using this dataset, weighted gene co-expression network analysis (WGCNA) and differential analysis were conducted to screen the M1 macrophage-related differentially expressed gene (M1-DEG). Then, GSE21374 dataset (including the follow-up data of graft loss) was divided into the training set and validation set according to a ratio of 7∶3. In the training set, a multivariate Cox's model was constructed using the variables screened by least absolute shrinkage and selection operator (LASSO), and the ability of this model to predict allograft survival was evaluated. CIBERSORT was employed to analyze the differences of infiltrated immune cells between the high-risk group and low-risk group, and the distribution of human leukocyte antigen (HLA)-related genes was analyzed between two groups. Gene set enrichment analysis (GSEA) was used to further clarify the biological process and pathway enrichment in the high-risk group. Finally, the database was employed to predict the microRNA (miRNA) interacting with the prognostic genes. Results In the GSE36059 dataset, 14 M1-DEG were screened. In the GSE21374 dataset, Toll-like receptor 8 (TLR8), Fc gamma receptor 1B (FCGR1B), BCL2 related protein A1 (BCL2A1), cathepsin S (CTSS), guanylate binding protein 2(GBP2) and caspase recruitment domain family member 16 (CARD16) were screened by LASSO-Cox regression analysis, and a multivariate Cox's model was constructed based on these 6 M1-DEG. The area under curve (AUC) of receiver operating characteristic of this model for predicting the 1- and 3-year graft survival was 0.918 and 0.877 in the training set, and 0.765 and 0.736 in the validation set, respectively. Immune cell infiltration analysis showed that the infiltration of rest and activated CD4+ memory T cells, γδT cells and M1 macrophages were increased in the high-risk group (all P < 0.05). The expression level of HLA I gene was up-regulated in the high-risk group. GSEA analysis suggested that immune response and graft rejection were enriched in the high-risk group. CTSS interacted with 8 miRNA, BCL2A1 and GBP2 interacted with 3 miRNA, and FCGR1B interacted with 1 miRNA. Conclusions The prognostic risk model based on 6 M1-DEG has high performance in predicting graft survival, which may provide evidence for early interventions for high-risk recipients.

Exploring Technology Frontiers for Neuroblastoma Treatment from Perspective of Patent Citation Network / 肿瘤防治研究

Objective To explore the technology frontiers for neuroblastoma treatment from the perspective of patent citation network. Methods Through patent analysis for neuroblastoma treatment, highly cited patents and highly cited papers in the citation network were taken as the research objects. The title and abstract of the citing patents were analyzed by text clustering to identify the technology frontiers. Through social network analysis, the core patents were identified from the indices of degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. Results A total of 6240 patent applications for neuroblastoma treatment were found, including 71304 patent citations and 88698 journal-article citations. Four technology frontiers were identified based on patent citation network, namely, drug target, drug design, tumor-indication expansion, and gene-expression regulation. Three technology frontiers were identified based on journal-article citation network. They were drug target, drug design, and tumor-indication expansion. Conclusion The development of technology for neuroblastoma treatment continues to be active. Drug target and drug design are the most important technology frontiers. This study could provide certain reference for neuroblastoma treatment from the perspective of information science.

Positive attributes in elderly people with different degrees of depression: a study based on network analysis

Abstract Introduction Depression in aging may lead to loss of autonomy and worsening of comorbidities. Understanding how positive attributes contribute to healthier and happier aging has been one ofthe purposes of Positive Psychology. However, the literature still lacks studies that evaluate how depression in the elderly is related to constructs considered positive. Objective The present study aimed comparing scores of constructs of spiritual well-being, social support, selfesteem, life satisfaction, affection, optimism, and hope in the elderly with minimal, mild, moderate, and severe depression and healthy controls in order to investigate possible indirect and mediated relationships between positive constructs and depression. Methods A cross-sectional study was conducted with elderly, 62 of whom were diagnosed with different severity of Major Depression (DSM-V) (minimum, mild, moderate, and severe according to the Beck Depression Inventory - BDI) and 66 healthy controls matched by age, sex and schooling. The instruments used were adapted and validated versions of the Spirituality Self-Rating Scale, the Rosenberg Self-Esteem Scale, the Medical Outcomes Social Scale of Support, the Life Satisfaction Scale, the Positive and Negative Affect Schedule, the Revised Life Orientation Test, and the Adult Dispositional Hope Scale. After comparing the means of scores between groups, an analysis of normalized partial association networks was performed to investigate the direct and mediated relationships between depression and other evaluated constructs. Results Scores of spiritual well-being, social support, self-esteem, life satisfaction, positive affect, optimism, negative affects, and hope differed significantly between the control group and the degrees of depression (p < 0.001). The analysis of normalized partial association networks has shown that the relations of depression with the constructs of life satisfaction, self-esteem, and social support are mediated, while the constructs of dispositional hope, positive affect, spiritual well-being, and optimism are indirectly related to depression. The social class was also positively related to depression. Conclusion Depression in different degrees is associated with a reduction in the scores of instruments that evaluate positive attributes. The constructs directly associated with depression are spiritual well-being, optimism, positive affect, and dispositional hope. The others had mediated relationship. These results may contribute to the planning of future interventions for the prevention of depression among the elderly.

Relevance of national, regional and global virome projects on pandemics prediction, prevention, and control: a social network analysis of GVP-citing articles

BACKGROUND The Global Virome Project (GVP) was proposed in 2018 as an evolution of the USAID PREDICT project and was presented as a "collaborative scientific initiative to discover zoonotic viral threats and stop future pandemics". The immediate response was mixed, with public health and scientific communities representatives showing skepticism, if not direct opposition. OBJECTIVES The economic, social, and health consequences of the coronavirus disease 2019 (COVID-19) pandemic demonstrated how unprepared the world was in the face of new pandemics. This paper analyses the impact of the GVP on the scientific and public health communities. METHODS Published scientific articles that cited the two 2018 seminal publications proposing the project were analysed using social network analysis methods. FINDINGS Encompassing the periods before and after the onset of the Covid-19 pandemic, the results indicate that (i) the concepts of the GVP have received more support than opposition in the scientific literature; (ii) its foundations should be updated to address the specific criticisms. MAIN CONCLUSIONS Shifting focus to national virome projects can provide tangible, regional benefits that can positively contribute towards a consensus on achieving a high level of preparedness for the ever-present possibility of the following global viral pandemic.

Correlation of brain segmental volume changes with clinical parameters: a longitudinal study in multiple sclerosis patients / Correlação das alterações do volume segmentar cerebral com parâmetros clínicos: um estudo longitudinal em pacientes com esclerose múltipla

Abstract Objective To measure the cranial volume differences from 15 different parts in the follow-up of relapsing-remitting multiple sclerosis (RRMS) patients and correlate them with clinical parameters. Methods Forty-seven patients with RRMS were included in the study. Patients were grouped into two categories; low Expanded Disability Status Scale (EDSS) (< 3; group 1), and moderate-high EDSS (≥ 3; group 2). Patients were evaluated with Beck Depression Inventory (BDI), Montreal Cognitive Assessment (MOCA), Symbol Digit Modalities Test(SDMT), Fatigue Severity Scale (FSS), and calculated Annualized Relapse Rate (ARR) scores. Magnetic resonance imaging (MRI) was performed with a 1.5T MRI device (Magnetom AERA, Siemens, Erlangen, Germany) twice in a 1-year period. Volumetric analysis was performed by a free, automated, online MRI brain volumetry software. The differences in volumetric values between the two MRI scans were calculated and correlated with the demographic and clinical parameters of the patients. Results The number of attacks, disease duration, BDI, and FSS scores were higher in group 2; SDMT was higher in group 1. As expected, volumetric analyses have shown volume loss in total cerebral white matter in follow-up patients (p < 0.001). In addition, putaminal volume loss was related to a higher number of attacks. Besides, a negative relation between FSS with total amygdala volumes, a link between atrophy of globus pallidus and ARR, and BDI scores was found with the aid of network analysis. Conclusions Apart from a visual demonstration of volume loss, cranial MRI with volumetric analysis has a great potential for revealing covert links between segmental volume changes and clinical parameters.

Resumo Objetivo Medir as diferenças de dominância craniana de 15 regiões diferentes no seguimento de pacientes com esclerose múltipla recorrente-remitente (EMRR) e correlacioná-las com parâmetros clínicos. Métodos Quarenta e sete pacientes com EMRR foram incluídos no estudo. Os pacientes foram agrupados em duas categorias; EDSS baixo (< 3; grupo 1) e EDSS médio-alto (≥ 3; grupo 2). Os pacientes foram avaliados com o Inventário de Depressão de Beck (BDI, na sigla em inglês), Montreal Cognitive Assessment (MOCA, na sigla em inglês), Symbol Digit Modality Tests (SDMT, na sigla em inglês), Fatigue Severity Scale (FSS, na sigla em inglês) e taxa de ataque anual (ARR, na sigla em inglês). Duas ressonâncias magnéticas (RMs) foram feitas em um ano com um aparelho de imagem de 1,5 T MR (Magnetom AERA, Siemens, Erlangen, Alemanha). A análise de volume foi realizada com um software de medição mestre cerebral de RM gratuito e automatizado. As diferenças volumétricas entre os dois exames de RM foram calculadas e correlacionadas com os parâmetros demográficos e clínicos dos pacientes. Resultados Número de crises, duração da doença, escores BDI e FSS foram mais elevados no grupo 2; as pontuações do SDMT foram maiores no grupo 1. Como esperado, as análises volumétricas mostraram perda total de volume de substância branca no seguimento (p < 0,001). Além disso, a perda da dominância putaminal foi associada ao maior número de ataques. Além disso, uma relação negativa entre FSS e volume total da amígdala, e uma correlação entre ARR e BDI e atrofia do globo pálido foi determinada com a ajuda da análise de rede. Conclusões Além da demonstração visual da perda de volume, a RM com análise volumétrica tem grande potencial para revelar alterações segmentares dominantes e conexões ocultas entre parâmetros clínicos.

Rede de apoio às mães de recém-nascidos prematuros internados em uma unidade de terapia intensiva neonatal

Objetivo: Conhecer a rede de apoio das mães de recém-nascidos internados na Unidade de Terapia Intensiva Neonatal. Material e Método: Estudo com métodos mistos, orientado pelo quadro do Interacionismo Simbólico, realizado por meio de uma entrevista e da aplicação de uma escala para avaliar o nível de apoio social recebido. O estudo incluiu 11 mães de recém-nascidos prematuros internados em uma unidade de Terapia Intensiva Neonatal. Os dados foram submetidos à análise de conteúdo temático. Resultados: A análise evidenciou três categorias temáticas: a necessidade de apoio das mães de bebês internados em uma unidade de terapia intensiva; a rede de apoio das mães de bebês internados em uma unidade de terapia intensiva; a alta hospitalar e a demanda de apoio para o cuidado do recém-nascido -a perspectiva da mãe. Conclusões: A rede de apoio das mães participantes é composta pela família, por outras mães que estão vivenciando o mesmo processo, pelos profissionais e por instituições religiosas. O apoio considerado necessário deveria incluir a informação, a atenção e o apoio emocional.

Objective: To analyze the support network of mothers of newborns hospitalized in a Neonatal Intensive Care Unit. Materials and Methods: Mixed methods study, oriented to the symbolic interactionism framework, carried out through an interview and the application of a scale to assess the level of social support received. The study included 11 mothers of premature newborns hospitalized in a neonatal intensive care unit. The data were subjected to a thematic content analysis. Results: The analysis resulted in three thematic categories: the need for supporting mothers of babies hospitalized in an intensive care unit; the support network for mothers of babies hospitalized in an intensive care unit; hospital discharge and the demand for help in caring for the newborn -the mother's perspective. Conclusions: The support network of the participating mothers consists of the family, other mothers experiencing the same process, professionals, and religious institutions. The necessary support should include information, attention, and emotional support.

Objetivo: Conocer la red de apoyo a las madres de recién nacidos internados en la Unidad de Terapia Intensiva Neonatal. Material y Método: Estudio con métodos mixtos, orientado al referencial del interaccionismo simbólico, realizado mediante entrevista y aplicación de escala para la valoración del apoyo social recibido. Estudio dirigido a 11 madres de recién nacidos prematuros internados en la Unidad de Terapia Intensiva Neonatal. Los datos se sometieron a un análisis de contenido temático. Resultados: El análisis evidenció tres categorías temáticas: la necesidad de ayuda de las madres de los bebés internados en una unidad de terapia intensiva; la red de ayuda de las madres de los bebés internados en una unidad de terapia intensiva; el alta hospitalaria y la demanda de ayuda para el cuidado del recién nacido -la perspectiva de la madre. Conclusiones: La red de apoyo de las madres participantes está conformada por la familia, otras madres que viven el mismos proceso, profesionales e instituciones religiosas. El apoyo que se considera necesario es el de información, atención y apoyo emocional.

Análise estrutural e funcional da rede social de usuários do Centro de Atenção Psicossocial: caminhos para a Atenção Psicossocial / Análisis estructural y funcional de la red social de usuarios del Centro de Atención Psicosocial: caminos hacia la Rehabilitación Psicosocial / Structural and functional analysis of the social network of users of the Psychosocial Care Center: the pathways of Psychosocial Care

Resumo Objetivou-se analisar as características estruturais, as funções e os atributos dos vínculos, nas redes sociais, de usuários de um Centro de Atenção Psicossocial (Caps). Para isso, desenvolveu-se um estudo qualitativo em que participaram 16 usuários de um Caps. Foram realizadas entrevistas em profundidade e semiestruturadas com base no diagrama do Mapa de Redes. Identificaram-se redes sociais extensas e com concentração de relações íntimas, circunscritas aos familiares e aos serviços de saúde. Após o adoecimento, os participantes relataram relações familiares fragilizadas. A apropriação dos espaços na comunidade e nas relações de amizade favoreceu a estruturação das redes. A análise do Mapa de Redes compreende uma ferramenta analisadora indicando, à produção do cuidado em Saúde Mental, os rumos para a Atenção Psicossocial. (AU)

Resumen El objetivo fue analizar las características estructurales, las funciones y los atributos de los vínculos en las redes sociales de usuarios de un Centro de Atención Psicosocial. Para ello, se desarrolló un estudio cualitativo en el que participaron 16 usuarios de un Centro de Atención Psicosocial. Se realizaron entrevistas en profundidad y semiestructuradas con base en el diagrama del mapa de Red. Se identificaron redes sociales extensas y con concentración de relaciones íntimas, circunscritas a los familiares y a los servicios de salud. Después de la enfermedad, los participantes relataron relaciones familiares fragilizadas. La apropiación de los espacios en la comunidad y en las redes incluye una herramienta de análisis, indicando a la producción del cuidado de salud mental los rumbos para la atención psicosocial. (AU)

Abstract The objective was to analyze the structural characteristics, functions and attributes of bonds in the social networks of users of a Psychosocial Care Center. For this purpose, a qualitative study was developed in which 16 users of a Psychosocial Care Center participated. In-depth and semi-structured interviews were carried out based on the Network Map diagram. Extensive social networks were identified, with a concentration of intimate relationships, limited to family members and health services. After the illness, the participants reported fragile family relationships. The appropriation of spaces in the community and in friendship relationships favored the structuring of networks. The analysis of the network map comprises an analysis tool indicating the pathways for psychosocial care to reach the production of mental health care. (AU)

The Data Generation Mechanism: Relationship Between Constructs and Their Indicators / O Mecanismo de Geração de Dados: Relação entre Construtos e seus Indicadores

Abstract The choice of statistical data analysis should be guided by a critical analysis that supports the theoretical relationship between the construct and its indicators. This theoretical article reviews the three main existing psychometric paradigms and their proposals for explaining the relationship between indicators and their constructs. The discussion begins with the standard paradigm that guides the construction and analysis of data in psychology, reflective model. Then, a description of the formative models is performed and finally the Network Analysis as an alternative. The definitions, consequences, and limitations of the use of each measurement model are presented such as a reflection on making decisions about which data generation mechanisms are more appropriate.

Resumo A escolha da análise estatística de dados deveria ser guiada por uma análise crítica que fundamenta a relação teórica entre construto e seus indicadores. Este teórico artigo faz uma revisão dos três principais paradigmas psicométricos e suas propostas de explicação da relação entre os indicadores e seus construtos. A discussão é iniciada com o paradigma padrão que guia a construção e análise de dados na psicologia, os modelos reflexivos. Em seguida, é realizada uma descrição dos modelos formativos e, por fim, a proposta da Análise de Redes como alternativa. São apresentadas as definições, consequências e limitações do uso de cada modelo de medida, bem como uma reflexão na tomada de decisão sobre quais mecanismos de geração de dados são mais apropriados.

Research Status and Suggestion of Drug Clinical Trial Risk Management in China: Based on Co-word Analysis and Social Network Analysis Perspective / 中国医学伦理学

【Objective:】 To deeply understand the current situation and hotspots of drug clinical trials risk management in China. 【Methods:】 Co-word analysis and social network analysis were used to sort out the study results of risk management in drug clinical trials in China. 【Results:】 The trend of risk research of drug clinical trials in China was generally on the rise. The research hotspots focused on four areas: drug supervision and pharmacovigilance, risk management of drug clinical trial institutions, ethical review of drug clinical trials, and risk management of drug clinical trials. 【Conclusion:】 In the future, China should gradually improve the risk management system and supervision system of drug clinical trials, explore to establish a risk-based quality management and ethical review system of drug clinical trials, and enhance the risk assessment and coping ability of institutions.

Network Analysis of Sleep Quality and Anxiety of First-Line Medical Staff in Epidemic Prevention / 中国医学伦理学

【Objective:】 To explore the network characteristics of sleep quality and anxiety in first-line medical staff fighting against COVID-19, further understand the relationship between sleep quality and anxiety, and provide basis for intervention. 【Methods:】 Using the convenient sampling method, this paper used the Pittsburgh Sleep Quality Index (PSQI) and Self Rating Anxiety Scale (SAS) to conduct a questionnaire survey on the front-line medical staff who fought against the epidemic during the COVID-19. Network analysis was used to construct sleep quality and anxiety network, and R language was used for statistical analysis and visualization. 【Results:】 In the network of sleep quality and anxiety of first-line medical staff fighting against COVID-19, "sleep disorder" and "sleep quality", "unfortunate premonition" and "inability to sit still", "syncope" and "hand and foot tingling" were highly related. "Fatigue", "dizziness" and "panic" had the highest expected influence. "Sleep quality", "sleep disorder" and "fatigue" had the highest bridge expected influence. The average predictability value of all nodes was 0.778. 【Conclusion:】 This paper used network analysis to explore the sleep quality and anxiety of first-line medical staff fighting against COVID-19 and found that there was a unique correlation path between them. Intervention against core symptoms can ameliorate anxiety and sleep problems to the great extent, and provide guidance for improving the physical and mental health.

Exploring biological connotation of blood stasis syndrome of rheumatoid arthritis and establishment of improved animal models based on syndrome-symptom mapping / 药学学报

Blood stasis syndrome is one of the core clinical syndrome of rheumatoid arthritis (RA), but the biological connotation of this syndrome is not clear, and there is a lack of disease improved animal models that match the characteristics of this disease and syndrome. The aim of this study was to screen the candidate biomarker gene set of blood stasis syndrome of RA, reveal the biological connotation of this syndrome, and explore and evaluate the preparation method of the improved animal model based on the characteristics of "disease-syndrome-symptom". The study was approved by the ethics committee of Guang'anmen Hospital, Chinese Academy of Traditional Chinese Medicine (No. 2019-073-KY-01) and the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine (No. TYLL2021[K]018), and the study subjects gave their informed consent. Animal welfare and experimental procedures followed the regulations of the Experimental Animal Ethics Committee of the Chinese Academy of Traditional Chinese Medicine (No. IBTCMCACMS21-2207-01). The whole blood samples were collected clinically from RA patients with blood stasis syndrome (3 cases) or other syndromes (7 types, 3 cases/type), and healthy volunteers (4 cases), and then transcriptome sequencing, KEGG, gene set enrichment analysis (GSEA) and weighted correlation network analysis (WGCNA) analysis were performed. 126 pivotal genes were screened, and their functional annotation results were significantly enriched in "immune-inflammation" related pathways and lipid metabolism regulation (sphingolipids, ether lipid metabolism and steroid biosynthesis). Syndrome-symptom mapping of hub gene set to the TCM primary and secondary symptoms, Western phenotypic symptoms and pathological links showed that joint tingling, abnormal joint morphology, petechiae and abnormal blood circulation are representative of blood stasis syndrome of RA. The results of the improved animal model showed that the rats in the collagen-induced arthritis + adrenaline hydrochloride (CIA+Adr) 3 model group had increased blood rheology, coagulation, platelet function and endothelial function abnormalities compared with the CIA-alone model group, suggesting that the rats with blood stasis syndrome of RA may be in a state of "blood stasis". The results of the study can help to advance the objective study of the evidence of blood stasis syndrome in RA, and provide new ideas for the establishment of an animal model that reflects the clinical characteristics of the disease and syndrome.

Analysis of typical experiences of public hospital salary system reform in Sichuan province / 中华医院管理杂志

Objective:To analyze the experiences and practice in the reform of public hospital salary system in Sichuan province, summarize the typical modes of such reform in the province, and provide references for further reform.Methods:As of October 29, 2021, the research group received 77 sets of typical experience materials submitted by the health commissions and public hospitals in Sichuan province on enforcing the reform of the public hospital salary system. The analysis framework was based on the five main elements proposed in the Guidance to Deepening the Reform of the Salary System of Public Hospitals for the purpose of furthering the reform. These five elements refer to " reasonably determining the level of salary in public hospitals" " fully implementing the autonomy of internal distribution in public hospitals " " establishing and improving the incentive and restraint mechanism for the remuneration of public hospital leaders" " improving the assessment and evaluation mechanism oriented to public welfare" and " funding sources ". A quantitative analysis was made on the typical experience materials using the social network analysis method, while a qualitative analysis was made on the typical experience materials using the content analysis method. Results:The results of social network analysis showed that the network density was 0.272; the highest point centrality was " fully implement the autonomy of internal distribution in public hospitals" (0.935), and the highest intermediary centrality was " improving the assessment and evaluation mechanism oriented to public welfare" (0.870), while the closeness to centrality of " establishing and improving the incentive and constraint mechanism for the salary of public hospital leaders" (0.434) and " funding sources" (0.421) were relatively low. The results of content analysis showed that the ones with higher frequency among all the typical experience materials were " fully implementing the autonomy of internal distribution of hospitals" (72 times) and " improving the assessment and evaluation mechanism oriented to public welfare" (67 times), while the ones with lower frequency were " establishing and improving the salary incentive and constraint mechanism for public hospital leaders" (17 times) and " funding sources" (14 times). In terms of unity and synergy, the typical models of public hospital salary system reform in the province could be categorized as the fine standard mode, the fair value mode, the autonomous synergy mode and the circular symbiosis mode.Conclusions:Deepening the reform of the salary system of public hospitals should unify the standards and improve the fair and refined assessment and evaluation mechanism; explore various forms of distribution and build an internal autonomous and synergistic incentive mechanism; pay attention to the weak remuneration incentive mechanism for hospital leaders and the problem of a relatively single source of funding.

Altitudinal distribution of the functional feeding groups of aquatic macroinvertebrates using an ecological network in Andean streams / Distribución altitudinal de los grupos funcionales de alimentación de macroinvertebrados acuáticos utilizando una red ecológica en arroyos andinos

Abstract Introduction: Analysis of functional feeding groups (FFG) in aquatic macroinvertebrates is important in understanding the structure, function, and dynamics of ecological processes in ecosystems. Modularity refers to the degree of compartmentalization of food webs and varies between -1 and 1. A network with a modularity value close to 1 is resilient to disturbances and can be interpreted as an indicating factor for the stability of communities. Objective: In this study, we analyzed the trophic structure of benthic macroinvertebrates in La Nitrera stream, the San Juan River, and the Cauca River in the Colombian Andes. Methods: The study was supported by ecological networking techniques using Gephi software. We studied nine sites in dry, rainy, and transition seasons in 2017 and 2018, monitoring changes in the altitude gradient. At each of the sites, the organisms were captured and determined, and physicochemical and hydraulic information was obtained. Results: The variance component analysis allowed to explain the variability of the data by relating the following environmental variables: FFG, diversity, richness, modularity, season, and time. Simple multifactorial ANOVA indicated that significant changes in FFG were associated with altitude, and modularity to time. The allocation of the FFG was done by stomach analysis and secondary information. Conclusion: The transition season had the highest modularity, possibly due to the recolonization of some biotopes caused by the decrease in the velocity of water currents. La Nitrera and San Juan presented higher values than the Cauca, which may indicate that the altitudinal change and velocity of water currents affects the compartmentalization of the network.

Resumen Introducción: El análisis de grupos funcionales de alimentación (GFA) en macroinvertebrados acuáticos es importante para comprender la estructura, función y dinámica de los ecosistemas de procesos ecológicos. La modularidad se refiere al grado de compartimentación de las redes alimentarias y varía entre -1 y 1. Una red con un valor de modularidad cercano a 1 es resistente a las alteraciones y puede interpretarse como un factor indicativo para la estabilidad de las comunidades. Objetivo: En este estudio se analizó la estructura trófica de los macroinvertebrados bentónicos, un elemento importante en la calidad ambiental, en el arroyo La Nitrera, el río San Juan y el río Cauca. Métodos: El estudio contó con el apoyo de técnicas de redes ecológicas utilizando el software Gephi. En 2017 y 2018, estudiamos nueve sitios en estaciones secas, lluviosas y de transición, monitoreando cambios en el gradiente de altitud. En cada uno de los sitios se capturaron y determinaron los organismos y se recogió información fisicoquímica e hidráulica. Resultados: El análisis de componentes de varianza permitió explicar la variabilidad de los datos relacionando las siguientes variables ambientales: GFA, diversidad, riqueza, modularidad, estación y tiempo. La ANOVA simple multifactorial indicó que existen cambios significativos en los GFA en relación con la altitud, y la modularidad con el tiempo. La asignación de los GFA se realizó mediante análisis estomacal e información secundaria. Conclusión: La temporada de transición tuvo la mayor modularidad, posiblemente debido a la recolonización de algunos biotopos provocada por la disminución de la velocidad del cauce. La Nitrera y San Juan presentaron valores superiores a los del Cauca, lo que puede indicar que el cambio altitudinal y la velocidad de las corrientes de agua influyen en la compartimentación de la red.

Ciencias sociales en contextos de represión: Análisis bibliométrico de la producción histórica de la Corporación de Estudios para Latinoamérica, Chile (1979-1989)

Este artículo presenta un análisis bibliométrico de la producción científica de la Corporación de Estudios para Latinoamérica (CIEPLAN), el centro de estudios más importante durante la dictadura y transición democrática en Chile. El análisis se realiza sobre un conjunto de registros bibliográficos (n = 145), referencias (n = 4.055) e información biográfica de los autores, durante 1979-1989. Se analizan tres dimensiones: producción científica y áreas temáticas; colaboración y coautoría; y referencias o consumo de información. Se utiliza estadística descriptiva, modelamiento temático no supervisado y Análisis de Redes Sociales (SNA, por sus siglas en inglés). Los resultados muestran una tendencia constante en la producción científica y temas centrados en tópicos clásicos de la economía asociados con temas de desigualdad y política. Además, los análisis de colaboración y referencias muestran la existencia de una comunidad compuesta por reconocidos académicos y miembros de la élite política chilena centrales en la producción intelectual y en la red de referencias. Estos hallazgos permiten denominar a CIEPLAN como una de las principales comunidades epistémicas durante la recuperación y transición democrática chilena, en específico, durante los primeros gobiernos democráticos dónde varios miembros fueron reclutados para asumir importantes cargos en el ejecutivo. Hasta hoy, estos actores siguen influenciando el proceso de formulación de políticas públicas en Chile.

This paper presents a bibliometric analysis of the Corporación de Estudios para Latinoamérica (CIEPLAN in Spanish) scientific production. This was the most important think tank during the dictatorship and democratisation in Chile. The analysis is carried out based on bibliographic entries (n = 145), references (n = 4,055), and biographical information of the authors from 1979 to 1989. Three dimensions are analysed: scientific production and topics, collaboration and co-authorship, and references or information consumption. We use descriptive statistics, unsupervised topic modelling, and Social Network Analysis (SNA). The results reveal a constant trend in the scientific production and classic topics of the economy associated with inequality and political issues. Moreover, the collaboration and citation analyses show the existence of a community composed of recognised academics and members of the Chilean political elite who were central in the intellectual production and the references' network. These findings allow us to name CIEPLAN as one of the central epistemic communities during Chile's democratic recovery and transition, specifically during the first democratic governments, where a number of members were recruited to assume important positions in the executive. To this day, these actors continue influencing the policy-making process in Chile.