Sistemas Computacionais para Auxílio na Cicatrização de Feridas: Revisão de Escopo / Computer Systems to Aid in Wound Healing: Scope Review / Sistemas Informáticos para Ayudar en la Cicatrización de Heridas: Revisión del Alcance

Objetivo:Investigar estudos que apresentem sistemas computacionais de auxílio à cicatrização de feridas e quais sistemas se referem ao uso de laser de baixa intensidade. Método: Revisão de escopo que visou responder à questão de pesquisa: Quais sistemas computacionais auxiliam na cicatrização de feridas? Uma subquestão foi: quais sistemas computacionais se referem ao uso do laser de baixa intensidade? Resultados: A partir da busca, aplicando os critérios de elegibilidade, 49 artigos compuseram a amostra final. Os sistemas apresentaram várias finalidades de apoio à cicatrização de feridas, em que a maioria apresentou como usuário do sistema o profissional de saúde, sendo a medicina a área profissional mais mencionada, embora a enfermagem esteja envolvida com o manejo do cuidado às pessoas com feridas. Foi relatada com frequência a inovação na assistência a partir do uso do sistema computacional, o que demonstra a importância desse tipo de ferramenta para a prática clínica. Verificou-se com frequência o uso de plataforma mobile, como tendência da atualidade. Conclusão: Os sistemas computacionais têm sido utilizados como ferramentas para apoiar pacientes e principalmente profissionais na cicatrização de feridas. Quanto ao laser de baixa intensidade, houve escassez de sistemas computacionais com essa finalidade, com apenas um estudo.

Objective:To investigate studies that present computational systems to aid healing and systems which refer to the use of low-level laser. Method: Scope review that aimed to answer the question: Which computer systems help in wound healing? A subquestion was: Which of the computer systems refer to the use of low-level laser? Results: From the search, applying the eligibility criteria, 49 articles made up the final sample. The systems served multiple purposes in support of wound healing; the majority presented the health professional as a user of the system; medicine was the most mentioned professional area despite nursing being involved in the management of care for people with wounds. Innovation in care using the computer system was frequently reported, demonstrating the importance of this type of tool for clinical practice. There was a high frequency of the mobile platform, showing that this is a current trend. Conclusion: Computer systems have been used as tools to support patients and especially professionals in wound healing. Regarding the systems aimed at the low intensity laser, there was a shortage of computer systems for this purpose, with a study.

Objetivo:Investigar estudios que presenten sistemas computacionales de ayuda a la cicatrización y sistemas que se refieran al uso de láser de bajo nivel. Método: Revisión de alcance que tuvo como objetivo responder a la pregunta: ¿Qué sistemas informáticos ayudan en la cicatrización de heridas? Una subpregunta fue: ¿Cuál de los sistemas informáticos se refieren al uso de láser de bajo nivel? Resultados: A partir de la búsqueda, aplicando los criterios de elegibilidad, 49 artículos conformaron la muestra final. Los sistemas sirvieron para múltiples propósitos en apoyo de la cicatrización de heridas; la mayoría presentó al profesional de la salud como usuario del sistema; la medicina fue el área profesional más mencionadas, a pesar de que la enfermería está involucrada en la gestión del cuidado de las personas con heridas. La innovación en la atención basada en el uso del sistema informático fue relatada con frecuencia, demostrando la importancia de este tipo de herramienta para la práctica clínica. Hubo una alta frecuencia de la plataforma móvil, lo que demuestra que esta es una tendencia actual. Conclusión: Los sistemas informáticos se han utilizado como herramientas de apoyo a los pacientes y especialmente a los profesionales en la cicatrización de heridas. En cuanto a los sistemas dirigidos al láser de baja intensidad, hubo escasez de sistemas informáticos para este fin, con un estudio.

Biologia de Sistemas de RNAs Não-Codificadores Longos na Vacinação / Systems biology of Long Non-Coding RNAs in vaccination

Entender os mecanismos responsáveis pela proteção induzida por vacinas contribui para o desenvolvimento de novas vacinas. Uma abordagem de pesquisa denominada Vacinologia de Sistemas surgiu para endereçar essa tarefa. A aplicação da Vacinologia de Sistemas gerou informações amplas relacionadas a respostas vacinais e foi aplicada no estudo de diversas vacinas. Apesar de estarem envolvidos em diversos processos imunológicos, RNAs Não-Codificadores Longos (lncRNAs) ainda não foram estudados no contexto da imunidade induzida por vacinas. Neste trabalho, fizemos a análise de mais de 2.000 amostras de transcritoma de sangue periférico, oriundas de 17 diferentes coortes vacinadas, com foco na identificação de lncRNAs potencialmente envolvidos com a resposta induzida por vacinas contra gripe e contra febre amarela. Criamos também um banco de dados online, em que todos os nossos resultados podem ser facilmente acessados. Nossos resultados indicaram que diversos lncRNAs participam de múltiplas vias imunológicas relacionadas a respostas induzidas por vacinas. Entre esses, o transcrito FAM30A se destaca por ter alta expressão em células B e ser correlacionado com a expressão de genes de imunoglobulina localizados no mesmo locus genômico. Identificamos também alterações na expressão de lncRNAs em dados de RNA-seq de uma coorte de crianças imunizadas com uma vacina atenuada contra gripe, o que sugere um papel de lncRNAs na resposta a diferentes vacinas. Nossos achados trazem evidências de que lncRNAs tem um papel significativo na resposta imune induzida por vacinas

Understanding the mechanisms of vaccine-elicited protection contributes to the development of new vaccines. The emerging field of Systems Vaccinology provides detailed information on host responses to vaccination and has been successfully applied in the study of the molecular mechanisms of several vaccines. Long Non-Coding RNAs (lncRNAs) are crucially involved in multiple biological processes, but their role in vaccine-induced immunity has not been explored. We performed an analysis of over 2,000 blood transcriptome samples from 17 vaccine cohorts to identify lncRNAs potentially involved with antibody responses to influenza and yellow fever vaccines. We have created an online database where all results from these analyses can be easily accessed. We found that lncRNAs participate in distinct immunological pathways related to vaccine-elicited responses. Among them, we showed that the expression of lncRNA FAM30A was high in B cells and correlates with the expression of immunoglobulin genes located in its genomic vicinity. We also identified altered expression of lncRNAs in RNA-sequencing (RNA-seq) data from a cohort of children vaccinated with intranasal live attenuated influenza vaccine, suggesting a common role across several diverse vaccines. Taken together, these findings provide evidence that lncRNAs have a significant impact on immune responses induced by vaccination

Systems Biology-Based Platforms to Accelerate Research of Emerging Infectious Diseases

Emerging infectious diseases (EIDs) pose a major threat to public health and security. Given the dynamic nature and significant impact of EIDs, the most effective way to prevent and protect against them is to develop vaccines in advance. Systems biology approaches provide an integrative way to understand the complex immune response to pathogens. They can lead to a greater understanding of EID pathogenesis and facilitate the evaluation of newly developed vaccine-induced immunity in a timely manner. In recent years, advances in high throughput technologies have enabled researchers to successfully apply systems biology methods to analyze immune responses to a variety of pathogens and vaccines. Despite recent advances, computational and biological challenges impede wider application of systems biology approaches. This review highlights recent advances in the fields of systems immunology and vaccinology, and presents ways that systems biology-based platforms can be applied to accelerate a deeper understanding of the molecular mechanisms of immunity against EIDs.

O paradigma da biologia de sistemas aplicado às doenças cardiovasculares / The Paradigm of Systems Biology Applied to Cardiovascular Diseases

O método osleriano, baseado na análise individual dos componentes funcionais de um organismo, vem apresentandosinais de esgotamento na tentativa de explicar a fisiopatologia de síndromes complexas como o câncer e as doençascardiovasculares. Por essa razão, vem sendo substituído progressivamente por um novo paradigma: a metodologia dossistemas biológicos. Esse novo modelo busca integrar conhecimentos de diferentes e modernas áreas de pesquisa como as ciências ômicas e a bioinformática, com o objetivo de desenvolver redes biológicas capazes de auxiliar no melhor entendimento dessas síndromes complexas. O objetivo dessa revisão é apresentar ao cardiologista clínico e ao investigador cardiovascular uma nova ferramenta denominada biologia de sistemas e a forma com que ela integra os dados provenientes das ciências ômicas, além de sua contribuição na nova abordagem das doenças cardiovasculares. Foirealizada pesquisa na base de dados Medline, dos principais artigos, até o presente momento, referentes ao cruzamento das palavras-chave em português e em inglês: “biologia de sistemas”, “insuficiência cardíaca”, “síndrome metabólica” e“arritmias cardíacas”; “systems biology”, “heart failure”, “metabolic syndrome” and “cardiac arrhythmias”. Concluiu-se que a biologia de sistemas deverá ser mais empregada para o melhor entendimento de doenças cardiovasculares complexas, como síndrome metabólica, aterosclerose, hipertensão arterial, insuficiência cardíaca e arritmias cardíacas. Cardiologistas, investigadores cardiovasculares, outros profissionais da saúde e pesquisadores da área básica de diferentes campos do conhecimento estarão mais integrados, buscando identificar modelos de redes aplicados à saúde e à doença, aquilo que hoje se denomina medicina em rede.

Based on individual analyses of the functional components of an organism, the oslerian method shows signs of depletion when attempting to explain the pathophysiology of complex syndromes such as cancer and cardiovascular diseases. This is why it isgradually being supplanted by a new paradigm: the methodology of biological systems. This new model strives to integrate knowledge in different modern research areas with the omics sciences and bioinformatics, in order to develop biological networks leading to abetter understanding of these complex syndromes. The purpose of this review is to introduce clinical cardiologists and cardiovascular researchers a new tool called systems biology, showing how it integrates data from the omics sciences and its contribution to a new approach to cardiovascular disease. To date, a search of the Medline database has been conducted with the following key words inPortuguese and English: “biologia de sistemas”, “insuficiência cardíaca”, “síndrome metabólica” e “arritmias cardíacas”; “systemsbiology”, “heart failure”, “metabolic syndrome” and “cardiac arrhythmias”. This led to the conclusion that systems biology must be used to an increasing extent for a better understanding of complex cardiovascular diseases such as metabolic syndrome, atherosclerosis, hypertension, heart failure and cardiac arrhythmias. Cardiologists, cardiovascular researchers, other healthcare practitioners and basic researchers in other fields of knowledge will build up closer links in a quest to identify health and disease network models that are now called network medicine.

Biologia de Sistemas Aplicada à Insuficiência Cardíaca com Fração de Ejeção Normal / Systems Biology Applied to Heart Failure With Normal Ejection Fraction

A insuficiência cardíaca com fração de ejeção normal (ICFEN) é, atualmente, o fenótipo clínico mais prevalente de insuficiência cardíaca e os tratamentos disponíveis não apresentam redução na mortalidade. Avanços na disciplina de ciências ômicas e em técnicas de elevado processamento de dados empregados na biologia molecular possibilitaram o desenvolvimento de uma abordagem integrativa da ICFEN baseada na biologia de sistemas. O objetivo deste trabalho foi apresentar um modelo da ICFEN baseado na biologia de sistemas utilizando as abordagens bottom-up e top-down. Realizou-se uma pesquisa na literatura de estudos publicados entre 1991-2013 referentes à fisiopatologia da ICFEN, seus biomarcadores e sobre a biologia de sistemas com o desenvolvimento de um modelo conceitual utilizando as abordagens bottom-up e top-down da biologia de sistemas. O emprego da abordagem de biologia de sistemas para ICFEN, a qual é uma síndrome clínica complexa, pode ser útil para melhor entender sua fisiopatologia e descobrir novos alvos terapêuticos.

Heart failure with normal ejection fraction (HFNEF) is currently the most prevalent clinical phenotype of heart failure. However, the treatments available have shown no reduction in mortality so far. Advances in the omics sciences and techniques of high data processing used in molecular biology have enabled the development of an integrating approach to HFNEF based on systems biology. This study aimed at presenting a systems-biology-based HFNEF model using the bottom-up and top-down approaches. A literature search was conducted for studies published between 1991 and 2013 regarding HFNEF pathophysiology, its biomarkers and systems biology. A conceptual model was developed using bottom-up and top-down approaches of systems biology. The use of systems-biology approaches for HFNEF, a complex clinical syndrome, can be useful to better understand its pathophysiology and to discover new therapeutic targets.

Mode coupling in living systems: implications for biology and medicine.

Complex systems, and in particular biological ones, are characterized by large numbers of oscillations of widely differing frequencies. Various prejudices tend to lead to the assumption that such oscillators should generically be very weakly interacting. This paper reviews the basic ideas of linearity and nonlinearity as seen by a physicist, but with a view to biological systems. In particular, it is argued that large couplings between different oscillators of disparate frequencies are common, being present even in rather simple systems which are well-known in physics, although this issue is often glossed over. This suggests new experiments and investigations, as well as new approaches to therapies and human-environment interactions which, without the concepts described here, may otherwise seem unlikely to be interesting. The style of the paper is conversational with a minimum of mathematics, and no attempt at a complete list of references.

The next step in biology: a periodic table?

Systems biology is an approach to explain the behaviour of a system in relation to its individual components. Synthetic biology uses key hierarchical and modular concepts of systems biology to engineer novel biological systems. In my opinion the next step in biology is to use molecule-to-phenotype data using these approaches and integrate them in the form a periodic table. A periodic table in biology would provide chassis to classify, systematize and compare diversity of component properties vis-a-vis system behaviour. Using periodic table it could be possible to compute higher- level interactions from component properties. This paper examines the concept of building a bio-periodic table using protein fold as the fundamental unit.

Cytoview: development of a cell modelling framework.

The biological cell, a natural self-contained unit of prime biological importance, is an enormously complex machine that can be understood at many levels. A higher-level perspective of the entire cell requires integration of various features into coherent, biologically meaningful descriptions. There are some efforts to model cells based on their genome, proteome or metabolome descriptions. However, there are no established methods as yet to describe cell morphologies, capture similarities and differences between different cells or between healthy and disease states. Here we report a framework to model various aspects of a cell and integrate knowledge encoded at different levels of abstraction, with cell morphologies at one end to atomic structures at the other. The different issues that have been addressed are ontologies, feature description and model building. The framework describes dotted representations and tree data structures to integrate diverse pieces of data and parametric models enabling size, shape and location descriptions. The framework serves as a first step in integrating different levels of data available for a biological cell and has the potential to lead to development of computational models in our pursuit to model cell structure and function, from which several applications can flow out.

The stability of ecosystems: a brief overview of the paradox of enrichment.

In theory, enrichment of resource in a predator-prey model leads to destabilization of the system,thereby collapsing the trophic interaction,a phenomenon referred to as "the paradox of enrichment". After it was first pro posed by Rosenzweig (1971), a number of subsequent studies were carried out on this dilemma over many decades. In this article, we review these theoretical and experimental works and give a brief overview of the proposed solutions to the paradox. The mechanisms that have been discussed are modifications of simple predator -prey models in the presence of prey that is inedible, invulnerable, unpalatable and toxic. Another class of mechanisms includes an incorporation of a ratio-dependent functional form,inducible defence of prey and density-dependent mortality of the predator. Moreover, we find a third set of explanations based on complex population dynamics including chaos in space and time. We conclude that,although any one of the various mechanisms proposed so far might potentially prevent destabilization of the predator-prey dynamics following enrichment, in nature different mechanisms may combine to cause stability, even when a system is enriched. The exact mechanisms,which may differ among systems,need to be disentangled through extensive field studies and laboratory experiments coupled with realistic theoretical models.

Modelling and simulation of signal transductions in an apoptosis pathway by using timed Petri nets.

This paper first presents basic Petri net components representing molecular interactions and mechanisms of signalling pathways, and introduces a method to construct a Petri net model of a signalling pathway with these components. Then a simulation method of determining the delay time of transitions, by using timed Petri nets - i.e. the time taken in fi ring of each transition - is proposed based on some simple principles that the number of tokens flowed into a place is equivalent to the number of tokens fl owed out. Finally, the availability of proposed method is confirmed by observing signalling transductions in biological pathways through simulation experiments of the apoptosis signalling pathways as an example.