In vivo γ-tocopherol supplementation decreases systemic oxidative stress and cytokine responses of human monocytes in normal and asthmatic subjects

We have recently reported that gamma tocopherol (γT) reduces allergen and zymosan-induced inflammation using rodent models. As an initial step in extending these observations to humans, we conducted an open-label, Phase I dosing study of two doses (one or two capsules/daily for one week) of a gamma tocopherol rich preparation containing 623mg of γ tocopherol, 61.1mg of d-α-tocopherol, 11.1 mg of d-β-tocopherol (11.1mg), and 231 mg of d-σ-tocopherol per capsule. Endpoints for this study include serum levels of 5-nitro-gamma tocopherol, as a marker of oxidative stress, and changes in serum gamma, alpha and delta tocopherol and γ-2′-carboxyethyl-6-hydroxychroman (CEHC) six and 24 hours after the first dose and after 1 week of treatment. To assess biological activity of this treatment, we obtained peripheral blood mononuclear cells at baseline and after 1 week of treatment with 2 capsules of a gamma tocopherol rich preparation/day, and examined the inflammatory cytokine response of these cells in culture to ex-vivo endotoxin/LPS (0.01 ng/ml) challenge. We also monitored a number of safety endpoints to examine how well this preparation is tolerated in 8 normal volunteers (4 allergic and 4 non-allergic) and 8 allergic asthmatics. We further obtained human monocytes from a subset of these volunteers and treated them ex vivo with γT, αT,γ-CEHC and α-CEHC and assessed their actions on LPS induced degradation of IkBα, and JNK signaling and ROS generation. As detailed herein, this open label study demonstrates that gamma tocopherol enriched supplementation decreased systemic oxidative stress, increased serum levels of gamma tocopherol, and inhibited monocyte responses to LPS without any adverse health effects. Further,in vitro treatment of human monocytes with γ-CEHC and α-CEHC inhibits ROS generation and LPS-induced degradation of IκB and JNK activation

A function-based typology for Earth’s ecosystems

As the United Nations develops a post-2020 global biodiversity framework for the Convention on Biological Diversity, attention is focusing on how new goals and targets for ecosystem conservation might serve its vision of ‘living in harmony with nature’(1,2). Advancing dual imperatives to conserve biodiversity and sustain ecosystem services requires reliable and resilient generalizations and predictions about ecosystem responses to environmental change and management(3). Ecosystems vary in their biota(4), service provision(5) and relative exposure to risks(6), yet there is no globally consistent classification of ecosystems that reflects functional responses to change and management. This hampers progress on developing conservation targets and sustainability goals. Here we present the International Union for Conservation of Nature (IUCN) Global Ecosystem Typology, a conceptually robust, scalable, spatially explicit approach for generalizations and predictions about functions, biota, risks and management remedies across the entire biosphere. The outcome of a major cross-disciplinary collaboration, this novel framework places all of Earth’s ecosystems into a unifying theoretical context to guide the transformation of ecosystem policy and management from global to local scales. This new information infrastructure will support knowledge transfer for ecosystem-specific management and restoration, globally standardized ecosystem risk assessments, natural capital accounting and progress on the post-2020 global biodiversity framework

Human RPE expression of cell survival factors. Invest Ophthalmol Vis Sci.

PURPOSE. To determine basal and tumor necrosis factor (TNF)-␣-regulated expression of retinal pigment epithelial (RPE) cell survival factors and whether regulation is dependent on nuclear transcription factor (NF)-B. METHODS. Cultured human RPE cells were infected with adenovirus encoding either mutant inhibitory (I)-B or ␤-galactosidase and treated with TNF-␣ for various times. Freshly prepared RPE/choroid and RPE samples were isolated from human donor eyes. Real-time reverse transcription-polymerase chain reaction, Western blot, and immunocytochemistry were used to determine survival factor gene expression, cellular protein levels, and localization, respectively. RESULTS. Multiple survival factor genes, including cellular inhibitor of apoptosis protein (c-IAP1), c-IAP2, TNF receptor-associated factor-1 (TRAF-1), TRAF-2, B-cell leukemia/lymphoma-2 (Bcl-2), Bcl-x, A1, and cellular Fas-associated death domain (FADD)-like interleukin-1␤-converting enzyme-like inhibitory protein (c-FLIP), were expressed in basal conditions in both cultured RPE cells and RPE cells in situ, whereas survivin was expressed only by cultured cells. TNF-␣ upregulated expression of TRAF-1, TRAF-2, c-IAP1, c-IAP2, c-FLIP, and A1. TRAF-1, c-FLIP, and to a lesser extent c-IAP2 protein levels were increased by TNF-␣ in a time-dependent manner, whereas c-IAP1, survivin, Bcl-x L , and TRAF-2 protein levels were not influenced by TNF-␣ treatment at any time point tested. In contrast, Bcl-2 and A1 proteins were not detected under basal conditions or after TNF-␣ treatment. Overexpression of mutant IB blocked TNF-␣-induced TRAF-1, TRAF-2, c-IAP1, c-IAP2, c-FLIP, and A1 gene expression and downregulated TRAF-1 protein levels. TRAF-1 and Bcl-x L proteins were localized diffusely in RPE cytoplasm. CONCLUSIONS. Multiple RPE cell survival factors are expressed by human RPE cells. TNF-␣ regulates expression of some of these factors in an NF-B-dependent manner, whereas others are not influenced by NF-B. RPE cell survival factors may protect RPE cells from apoptosis normally and in diseases such as age-related macular degeneration (AMD) and proliferative vitreoretinopathy (PVR). (Invest Ophthalmol Vis Sci. 2005;46: 1755-176

The IUCN Global Ecosystem Typology v1.01: Descriptive profiles for Biomes and Ecosystem Functional Groups

The conservation and management of ecosystems has never been more central to the future of biodiversity and human well-being on Earth. The Convention on Biological Diversity post-2020 agenda and UN Sustainable Development Goals mandate global action that depends on ecosystem assessment. Rapidly developing information infrastructure to support these global policy initiatives includes the UN System of Environmental-Economic Accounting – Experimental Ecosystem Accounting (SEEA EEA), listing criteria for the IUCN Red List of Ecosystems (RLE) and Key Biodiversity Areas (KBA), among several other initiatives. All of these require a standardised, globally consistent, spatially explicit typology and terminology for managing the world’s ecosystems and their services. IUCN’s Commission on Ecosystem Management is leading a global initiative to develop a new functional typology for the world’s ecosystems. The new typology integrates both ecosystem functions and compositional features. It therefore will help identify the ecosystems most critical to biodiversity conservation and supply of ecosystem services, as well as those at greatest risk of collapse, informing sustainable ecosystem management into the future. It will provide a comprehensive and consistent global framework for reporting on post-2020 CBD targets, SDGs, natural capital accounting, as well as structuring global risk assessments for the Red List of Ecosystems

Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology

This dataset includes the current version of the indicative distribution maps and profiles for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology (v2.1). Please refer to Keith et al. (2020) and Keith et al. (2022). The descriptive profiles provide brief summaries of key ecological traits and processes for each functional group of ecosystems to enable any ecosystem type to be assigned to a group. Maps are indicative of global distribution patterns and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Most maps were prepared using a coarse-scale template (e.g. ecoregions), but some were compiled from higher resolution spatial data where available (see details in profiles). Higher resolution mapping is planned in future publications. We emphasise that spatial representation of Ecosystem Functional Groups does not follow higher-order groupings described in respective ecoregion classifications. Consequently, when Ecosystem Functional Groups are aggregated into functional biomes (Level 2 of the Global Ecosystem Typology), spatial patterns may differ from those of biogeographic biomes. Differences reflect the distinctions between functional and biogeographic interpretations of the term, “biome”

A function-based typology for Earth’s ecosystems

As the United Nations develops a post-2020 global biodiversity framework for the Convention on Biological Diversity, attention is focusing on how new goals and targets for ecosystem conservation might serve its vision of 'living in harmony with nature'1,2. Advancing dual imperatives to conserve biodiversity and sustain ecosystem services requires reliable and resilient generalizations and predictions about ecosystem responses to environmental change and management3. Ecosystems vary in their biota4, service provision5 and relative exposure to risks6, yet there is no globally consistent classification of ecosystems that reflects functional responses to change and management. This hampers progress on developing conservation targets and sustainability goals. Here we present the International Union for Conservation of Nature (IUCN) Global Ecosystem Typology, a conceptually robust, scalable, spatially explicit approach for generalizations and predictions about functions, biota, risks and management remedies across the entire biosphere. The outcome of a major cross-disciplinary collaboration, this novel framework places all of Earth's ecosystems into a unifying theoretical context to guide the transformation of ecosystem policy and management from global to local scales. This new information infrastructure will support knowledge transfer for ecosystem-specific management and restoration, globally standardized ecosystem risk assessments, natural capital accounting and progress on the post-2020 global biodiversity framework

Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology

This dataset includes the current version of the indicative distribution maps and profiles for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology (v2.1). Please refer to Keith et al. (2020) and Keith et al. (2022). The descriptive profiles provide brief summaries of key ecological traits and processes for each functional group of ecosystems to enable any ecosystem type to be assigned to a group. Maps are indicative of global distribution patterns and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Most maps were prepared using a coarse-scale template (e.g. ecoregions), but some were compiled from higher resolution spatial data where available (see details in profiles). Higher resolution mapping is planned in future publications. We emphasise that spatial representation of Ecosystem Functional Groups does not follow higher-order groupings described in respective ecoregion classifications. Consequently, when Ecosystem Functional Groups are aggregated into functional biomes (Level 2 of the Global Ecosystem Typology), spatial patterns may differ from those of biogeographic biomes. Differences reflect the distinctions between functional and biogeographic interpretations of the term, “biome”

Indicative Distribution Maps for Ecological Functional Groups - Level 3 of IUCN Global Ecosystem Typology

This dataset includes the original version of the indicative distribution maps and profiles for Ecological Functional Groups - Level 3 of IUCN Global Ecosystem Typology (v2.0). Please refer to Keith et al. (2020). The descriptive profiles provide brief summaries of key ecological traits and processes for each functional group of ecosystems to enable any ecosystem type to be assigned to a group. Maps are indicative of global distribution patterns are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Most maps were prepared using a coarse-scale template (e.g. ecoregions), but some were compiled from higher resolution spatial data where available (see details in profiles). Higher resolution mapping is planned in future publications. We emphasise that spatial representation of Ecosystem Functional Groups does not follow higher-order groupings described in respective ecoregion classifications. Consequently, when Ecosystem Functional Groups are aggregated into functional biomes (Level 2 of the Global Ecosystem Typology), spatial patterns may differ from those of biogeographic biomes. Differences reflect the distinctions between functional and biogeographic interpretations of the term, biome