Low-Dose Oxidant Toxicity and Oxidative Stress in Human Papillary Thyroid Carcinoma Cells K1

Medical gas plasmas are of emerging interest in pre-clinical oncological research. Similar to an array of first-line chemotherapeutics and physics-based therapies already approved for clinical application, plasmas target the tumor redox state by generating a variety of highly reactive species eligible for local tumor treatments. Considering internal tumors with limited accessibility, medical gas plasmas help to enrich liquids with stable, low-dose oxidants ideal for intratumoral injection and lavage. Pre-clinical investigation of such liquids in numerous tumor entities and models in vitro and in vivo provided evidence of their clinical relevance, broadening the range of patients that could benefit from medical gas plasma therapy in the future. Likewise, the application of such liquids might be promising for recurrent BRAF(V600E) papillary thyroid carcinomas, resistant to adjuvant administration of radioiodine. From a redox biology point of view, studying redox-based approaches in thyroid carcinomas is particularly interesting, as they evolve in a highly oxidative environment requiring the capability to cope with large amounts of ROS/RNS. Knowledge on their behavior under different redox conditions is scarce. The present study aimed to clarify resistance, proliferative activity, and the oxidative stress response of human papillary thyroid cancer cells K1 after exposure to plasma-oxidized DMEM (oxDMEM). Cellular responses were also evaluated when treated with different dosages of hydrogen peroxide and the RNS donor sodium nitroprusside (SNP). Our findings outline plasma-oxidized liquids as a promising approach targeting BRAF(V600E) papillary thyroid carcinomas and extend current knowledge on the susceptibility of cells to undergo ROS/RNS-induced cell death

Intensive Olfactory Training in Post-COVID Patients: A Randomized Multicenter Clinical Trial

Introduction: Olfactory dysfunction (OD) is one of the most reported symptoms of COVID -19. Previous studies have identified olfactory training (OT) as an important treatment for postinfectious OD, but little is known about its effect after SARS-CoV-2 infection and how it can be optimized. Objective: To assess whether OT can be optimized if performed intensively, with more fragrances over a shorter period in patients with persistent OD after COVID -19. Also, to determine the presence of other variables related to OD and treatment response in this population. Method: This multicenter randomized clinical trial recruited 80 patients with persistent OD with previous COVID-19 for less than three months. The patients were divided into two groups, who received treatment with 4 and 8 essences over four weeks. Subjective assessments and the University of Pennsylvania Smell Identification Test (UPSIT) were performed before and after treatment. Results: A significant improvement in olfaction was measured subjectively and on UPSIT in both groups, but without significant differences between groups. In addition, the presence of olfactory fluctuation was associated with higher UPSIT scores. Conclusion: These data suggest that intensifying the training by increasing the number of essences for 4 weeks does not show superiority over the classical method. Moreover, a fluctuating olfactory ability seems to be related to a better score in the UPSIT

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

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

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

Low-Dose Oxidant Toxicity and Oxidative Stress in Human Papillary Thyroid Carcinoma Cells K1

Medical gas plasmas are of emerging interest in pre-clinical oncological research. Similar to an array of first-line chemotherapeutics and physics-based therapies already approved for clinical application, plasmas target the tumor redox state by generating a variety of highly reactive species eligible for local tumor treatments. Considering internal tumors with limited accessibility, medical gas plasmas help to enrich liquids with stable, low-dose oxidants ideal for intratumoral injection and lavage. Pre-clinical investigation of such liquids in numerous tumor entities and models in vitro and in vivo provided evidence of their clinical relevance, broadening the range of patients that could benefit from medical gas plasma therapy in the future. Likewise, the application of such liquids might be promising for recurrent BRAF(V600E) papillary thyroid carcinomas, resistant to adjuvant administration of radioiodine. From a redox biology point of view, studying redox-based approaches in thyroid carcinomas is particularly interesting, as they evolve in a highly oxidative environment requiring the capability to cope with large amounts of ROS/RNS. Knowledge on their behavior under different redox conditions is scarce. The present study aimed to clarify resistance, proliferative activity, and the oxidative stress response of human papillary thyroid cancer cells K1 after exposure to plasma-oxidized DMEM (oxDMEM). Cellular responses were also evaluated when treated with different dosages of hydrogen peroxide and the RNS donor sodium nitroprusside (SNP). Our findings outline plasma-oxidized liquids as a promising approach targeting BRAF(V600E) papillary thyroid carcinomas and extend current knowledge on the susceptibility of cells to undergo ROS/RNS-induced cell death

Exploring the impact of inflammatory endotypes on olfactory function and quality of life in chronic rhinosinusitis patients

Objectives: The aim of this observational cross-sectional study was to determine the endotypic inflammatory pattern of a sample of patients with CRS in Brazil, correlate it with olfactory function, and evaluate the clinical severity of the disease. Methods: In this cross-sectional study, 73 CRS patients were recruited. Patients were classified into type 2 and non-type 2 endotypic patterns based on IgE and eosinophilia levels. All subjects performed the University of Pennsylvania Smell Identification Test (UPSIT®) and responded to the Sino-Nasal Outcome Test (SNOT-22). Results: The majority of patients had type 2 CRS (n = 57, 78.1%). Patients with type 2 CRS compared to non-type 2 CRS had a higher prevalence of nasal polyps (93% vs. 12.5%), asthma (40.3% vs. 12.5%), and non-steroidal anti-inflammatory drug exacerbated respiratory disease (NERD, 17.5% vs. 0%). Type 2 patients also had significantly lower UPSIT® and higher SNOT-22, Lund-Kennedy, and Lund-Mackay scores. Conclusion: Our study provides evidence that type 2 CRS is associated with a higher prevalence of nasal polyps, asthma, and NERD, as well as decreased olfactory function and worse quality of life scores. These data will contribute to the body of knowledge on CRS and the development of treatments for this disease in Brazil. Level of evidence: 3