Applications of platelet- and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery

Introduction: Oral and maxillofacial surgery plays a crucial role in the reconstruction and restoration of facial structures, seeking to improve both aesthetics and function. The use of platelet-rich fibrin (L-PRF) represents a notable advance, accelerating healing and improving surgical outcomes. Materials and Methods: This review covers 710 studies from various electronic databases (PubMed, Scopus, Web of Science, Science Direct and Google Scholar). The aim is to thoroughly investigate the applications of platelet- and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology. Results: The analysis reveals that L-PRF stands out as an effective autologous therapy in oral and maxillofacial surgery. Its application shows remarkable potential for accelerating the healing process, contributing significantly to the effectiveness of procedures. Discussion: L-PRF has emerged as an excellent choice in oral and maxillofacial surgery and traumatology, improving both the aesthetic and functional aspects of facial reconstructions. This highlights the relevance of this autologous therapy and its benefits in surgical practice. Conclusion: The applications of platelet and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology are fundamental and promising. This advance represents not only a means of accelerating healing, but also a significant contribution to better aesthetic and functional results in surgical procedures in this area.Introduction: Oral and maxillofacial surgery plays a crucial role in the reconstruction and restoration of facial structures, seeking to improve both aesthetics and function. The use of platelet-rich fibrin (L-PRF) represents a notable advance, accelerating healing and improving surgical outcomes. Materials and Methods: This review covers 710 studies from various electronic databases (PubMed, Scopus, Web of Science, Science Direct and Google Scholar). The aim is to thoroughly investigate the applications of platelet- and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology. Results: The analysis reveals that L-PRF stands out as an effective autologous therapy in oral and maxillofacial surgery. Its application shows remarkable potential for accelerating the healing process, contributing significantly to the effectiveness of procedures. Discussion: L-PRF has emerged as an excellent choice in oral and maxillofacial surgery and traumatology, improving both the aesthetic and functional aspects of facial reconstructions. This highlights the relevance of this autologous therapy and its benefits in surgical practice. Conclusion: The applications of platelet and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology are fundamental and promising. This advance represents not only a means of accelerating healing, but also a significant contribution to better aesthetic and functional results in surgical procedures in this area

ENDOMETRIOSE E SEU IMPACTO NA INFERTILIDADE FEMININA

This article aims to highlight the relationship between endometriosis and infertility, indicate the factors related to the epidemic, symptoms and diagnosis, focusing on the possible causes of childhood infertility in women affected by this pathology. Data collection was carried out through the Nursing Database (BDENF), the Online Scientific Electronic Library (SCIELO), PubMed and the Latin American and Caribbean Literature in Health Sciences (LILACS). Endometriosis is a chronic inflammatory disease that compromises a woman's health and fertility, increases the risk of depression, limits her daily activities and, ultimately, reduces her quality of life, may be associated with immunological and endocrine disorders, as well as physical activity and tissue abnormalities. There are currently three types of treatment for infertility related to endometriosis: clinical treatment, surgery and methods required for assisted reproduction. Finally, it is well known that endometriosis causes infertility, but the relevant mechanisms require further investigation. The treatment that leads to this is not yet fully understood and there is no standard treatment for pathological patients.Este artigo tem como objetivo destacar a relação entre endometriose e infertilidade, indicar os fatores relacionados à epidemia, os sintomas e o diagnóstico, focando nas possíveis causas da infertilidade infantil em mulheres acometidas por esta patologia. A coleta de dados foi realizada por meio da Base de Dados de Enfermagem (BDENF), da Biblioteca Eletrônica Científica Online (SCIELO), da PubMed e da Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS). A endometriose é uma doença inflamatória crónica que compromete a saúde e a fertilidade da mulher, aumenta o risco de depressão, limita as suas atividades diárias e, em última análise, reduz a sua qualidade de vida, pode estar associada a distúrbios imunológicos e endócrinos, bem como atividade física e anormalidades teciduais. Atualmente existem três tipos de tratamento para a infertilidade relacionada à endometriose: tratamento clínico, cirurgia e métodos necessários para reprodução assistida. Finalmente, é bem conhecido que a endometriose causa infertilidade, mas os mecanismos necessitam de mais investigação. O tratamento que leva a isso ainda não é totalmente compreendido e não existe um tratamento padrão para pacientes patológicos

Considerações gerais sobre a síncope: uma abordagem clínica : General considerations about syncope: a clinical approach

O seguinte estudo objetivou descrever sobre as etiologias e o respectivo quadro clínico da síncope. A síncope é classificado como um sintoma de perda da consciência devido redução do fluxo sanguíneo cerebral, secundário a uma etiologia. Tal evento costuma ser confundido com outras condições associadas a perda de conhecimento, apesar de para se diagnosticar como síncope é necessário descartar demais alterações. A síncope é uma condição que têm como fisiopatologia o hipofluxo de sangue no cérebro, mas conta com diversas causas como a neuromediada, ortostática, cardíaca, cerebrovascular e até idiopática,  resultam em quadros clínicos distintos e complicações, mas o mesmo desfecho. Tal evento necessita ser investigado e detectado de imediato, por história clínica, exame físico e complementares

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

Fungos micorrízicos arbusculares em estéril revegetado com Acacia mangium, após mineração de bauxita

O objetivo deste trabalho foi avaliar a composição das comunidades de FMAs em áreas revegetadas com Acacia mangium após a mineração de bauxita na região de Porto Trombetas, PA. Foram coletadas amostras de solo compostas nos períodos seco e chuvoso, em áreas revegetadas com Acacia mangium, que receberam inóculos de Glomus clarum e Gigaspora margarita, com 1 e 5 anos de idade. Os solos foram revegetados sem a reposição do horizonte superficial orgânico. Os esporos dos fungos micorrízicos arbusculares (FMAs) foram extraídos e identificados através de suas características morfológicas. Analisou-se a densidade de esporos e de espécies em cada amostra, a densidade relativa e a freqüência de ocorrência de cada espécie por período de amostragem, além do índice de abundância e freqüência (IAF). Sob o plantio de mudas de A. mangium, a densidade de esporos de FMAs foi elevada e aumentou com a idade, enquanto o número de espécies não variou. Glomus clarum produz alta densidade de esporos na fase inicial do plantio e declina com o tempo, e Gigaspora margarita não esporula nas condições edafoclimáticas locais. A maioria das espécies de FMA não apresenta o mesmo padrão de esporulação nos períodos seco e chuvoso