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

Antimicrobial and anti-inflammatory activities of Apis mellifera honey on the Helicobacter pylori infection of Wistar rats gastric mucosa

Abstract Considering that Helicobacter pylori, a bacterium able to colonize the upper gastrointestinal tract and cause mucosal injury, not always can be effectively eradicated by the traditional approaches, there is an interest in alternative therapies until a vaccine be available. Honey is a food supplement with high carbohydrate content and antioxidant activity, as well as broad antimicrobial spectrum. After analyzing the physicochemical and in vitro antimicrobial properties of an Apis mellifera honey from the Atlantic forest of Alagoas / Brazil, the purpose of the present work was evaluate its in vivo effects against Helicobacter pylori in the gastric mucosa of Wistar rats. First, it was verified the success of inoculation/infection of the pathogen in the gastric mucosa of the rats, through the subsequent removal of their stomachs for histological analysis (hematoxylin and eosin stain and Giemsa stain). Then, four groups of animals were treated with sterilized distilled deionized water, the Apis mellifera honey, a combination of omeprazole, amoxicillin and clarithromycin, and an association of such medicines and honey (1:1). Except the control, all treatments were effective in combating infection, however, honey reduced the inflammatory process, whilst the antibiotics increase the number of eosinophils

Antimicrobial and anti-inflammatory activities of Apis mellifera honey on the Helicobacter pylori infection of Wistar rats gastric mucosa

<div><p>Abstract Considering that Helicobacter pylori, a bacterium able to colonize the upper gastrointestinal tract and cause mucosal injury, not always can be effectively eradicated by the traditional approaches, there is an interest in alternative therapies until a vaccine be available. Honey is a food supplement with high carbohydrate content and antioxidant activity, as well as broad antimicrobial spectrum. After analyzing the physicochemical and in vitro antimicrobial properties of an Apis mellifera honey from the Atlantic forest of Alagoas / Brazil, the purpose of the present work was evaluate its in vivo effects against Helicobacter pylori in the gastric mucosa of Wistar rats. First, it was verified the success of inoculation/infection of the pathogen in the gastric mucosa of the rats, through the subsequent removal of their stomachs for histological analysis (hematoxylin and eosin stain and Giemsa stain). Then, four groups of animals were treated with sterilized distilled deionized water, the Apis mellifera honey, a combination of omeprazole, amoxicillin and clarithromycin, and an association of such medicines and honey (1:1). Except the control, all treatments were effective in combating infection, however, honey reduced the inflammatory process, whilst the antibiotics increase the number of eosinophils.</p></div