Avaliação de Transtornos de Depressão e Ansiedade e Correlação com o Tratamento de Pacientes com Psoríase Vulgar

Introduction: Psoriasis is a chronic inflammatory multisystemic disease with several comorbidities, namely anxiety and depression disorders. Methods: In this study, the prevalence of these psychiatric entities was investigated by the PHQ-9 and GAD-7 questionnaries and related to the socio-demographic variables and to the forms of clinical treatment. Results: A total of 90 patients (56 females) were analyzed. Of these, 41 patients (45.56%) used topical treatment only, 28 patients (31.11%) used oral methotrexate and 21 patients (23.33%) used immunobiological agents (anti-TNF-alfa agents). It was observed that 47 patients (52.23%) presented some degree of depression (mild, moderate or severe) and 53 patients (58.89%) presented some degree of anxiety disorder (mild, moderate or severe). There was no statistical relationship between the anxiety and depression scores and the PASI score, as well as age, employability or schooling. There was a statistical association between psychiatric comorbidities and the female gender (p <0.0001). It was also observed a lower prevalence of depression (p = 0.0336) on patients using immunobiological treatments. Conclusion: The findings confirm published data, showing association of psychiatric conditions with psoriasis, especially in relation to TNF-alpha, so that anti-TNF therapies may become an alternative for the treatment of depression or anxiety disorders associated with psoriasis.Introdução: A psoríase é uma doença crónica inflamatória multissistêmica com diversas comorbidades, entre elas estão os transtornos de ansiedade e de depressão. Metodologia: Avaliar a prevalência de ansiedade e depressão, respectivamente pelos questionários GAD-7 and PHQ-9 em relação com variáveis socio-demográficas e formas de tratamento. Resultados: Foram avaliados 90 pacientes (56 do género feminino), 41 pacientes (45,56%) utilizavam apenas tratamento tópico, 28 pacientes (31,11%) utilizavam metotrexato via oral e 21 (23,33%) utilizavam imunobiológicos (agentes anti-TNF-alfa). Observou-se que 47 pacientes dos avaliados (52,23%) apresentaram algum grau de depressão (leve, moderado ou severo) e que 53 pacientes (58,89%) apresentaram algum grau de transtorno de ansiedade (leve, moderado ou severo). Não houve relação estatística significante entre o quadro de ansiedade e de depressão e o score PASI, assim como a faixa etária, a empregabilidade ou a escolaridade. Houve associação estatística entre o quadro psiquiátrico e o género feminino (p<0,0001) e menor prevalência de depressão (p=0,0336) com o uso de imunobiológicos. Conclusão: Os achados ratificam os achados encontrados na literatura, nos quais o quadro psiquiátrico possui também uma ampla associação com a fisiopatogenia inflamatória da psoríase, em especial em relação ao TNF-alfa, de modo que terapias anti-TNF possam vir a ser uma alternativa para o tratamento de depressão ou de transtornos de ansiedade associados à psoríase

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Mohs micrographic surgery in the treatment of non-melanocytic skin neoplasms

Objetivo: Averiguar a efetividade da utilização da cirurgia de MOHS no manejo de tumores cutâneos tipo não melanoma em comparação a outros métodos de terapia. Métodos: O estudo consiste em uma revisão sistemática, cuja coleta de artigos ocorreu nas bases de dados MEDLINE, PubMed Central (PMC), LILACS e SciELO, utilizando os termos “Cirurgia de MOHS”, “Câncer de pele”, “Ensaio clínico”, excluindo “melanoma”. Resultados: Do total de 132 artigos identificados, foram considerados elegíveis 11. A análise dos artigos demonstrou que a CMM, comparada a outros métodos, apresentou resultados estéticos melhores, além de menor grau de complicações em tumores recorrentes e um custo/benefício variável com o país onde foi feita operação. A CMM também apresentou menores índices de recorrência em todos os estudos. Conclusão: No geral, a cirurgia de MOHS se mostrou um método terapêutico promissor. No entanto, existem ainda poucos estudos comparativos sobre a eficácia da CMM e os que existem se concentram em poucas regiões do mundo.Objective: Evaluating the effectiveness of using MOHS surgery in the management of non-melanoma skin tumors compared to other therapy methods. Methods: The study consists of a systematic review, whose search for articles was performed using databases MEDLINE, PubMed Central (PMC), LILACS and SciELO, using the terms “MOHS surgery”, “Skin cancer”, “Clinical trial”, excluding “melanoma”. Results: from a total of 132 identified articles, 11 were considered eligible. The analysis of the articles showed that MMS, compared to other methods, presented better cosmetic results, in addition to a lower grade of complications in recurrent tumors and a variable cost/benefit according to the country where the surgery was performed. MMS also had lower recurrence rates in all studies. Conclusion: Overall, MOHS surgery has shown promising therapeutic results. However, there are still few comparative studies on the effectiveness of MMS and those that exist are concentrated in a few regions of the world

The correlation between anthropometric variables and muscular strength in patients coinfected with leprosy and HIV

Background: Peripheral nerve disease may lead to physical disability because of decreased muscle strength and/or loss of sensitivity in the dermatomes of affected peripheral nerves. Both human immunodeficiency virus (HIV)- and leprosy-affected patients can develop neurological damage; therefore, the coinfection of these diseases presents new challenges to the health care of these patients. Aims and Objective: This study aimed to investigate the motor alterations of patients coinfected with HIV and leprosy and their relationship with clinical and anthropometric characteristics, compared with individuals with isolated diseases. Materials and Methods: In this cross-sectional study, 90 individuals were divided equally into three groups: HIV/acquired immunodeficiency syndrome (AIDS) group, leprosy group and HIV/leprosy group. All individuals underwent an evaluation of muscle strength and upper limb endurance adjusted for the Brazilian standards, a palm print pressure test using a digital dynamometer and anthropometric measurements (weight, height and skin folds). Results: The HIV/leprosy group had the highest mean body mass index, followed by the leprosy group and the HIV/AIDS group. Skinfolds were similar between the groups. Multiple linear regression, adjusted for sex and age, revealed the coinfection of HIV and leprosy as possible contributor to a worse prognosis of muscle function, highlighting the bilateral reduction in the levels of palm print compression strengths compared with isolated diseases (HIV and leprosy). High CD4 count and shorter antiretroviral therapy duration were associated with worse indices of muscle strength, such as gripping and resistance, in coinfected patients. Conclusion: Patients coinfected with HIV and leprosy exhibited greater motor damage than those with isolated diseases. Thus, motor damage may be related to the sum of the neurological manifestations of the two morbidities

Immunological impact of tetrahydrobiopterin on the central nervous system in a murine model of rabies virus infection

Currently, the Milwaukee protocol presents healing results in human beings affected by the rabies virus. However, there are many points to clarify on the action of drugs and the immune mechanism involved in the evolution of the disease. One of the drugs used is biopterin, which is an important cofactor for nitric oxide, important for preventing vasospasm. Thus, we describe the effect of biopterin on some inflammatory factors in a rabies virus infection developed in an animal model. The immunological mediators studied in animals infected with rabies virus submitted to doses of sapropterin were Anti-RABV, IL-6, IL-2, IL-17a, INF-gamma and Anti-iNOS. It is suggested that the medication in the context of a RABV infection already installed, had the effect of modulating the inflammatory mechanisms mainly linked to the permeability of the blood-brain barrier and the migration of cytotoxic cells

Seminário de Dissertação (2024)

Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022) Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq