Post-vaccination and post-infectious immune response against new coronavirus infection on the background of obesity and overweight

In the fall of 2019, global health was confronted with a new RNA virus — severe acute respiratory syndrome coronavirus 2 SARS-CoV-2. Against the background of the rapid spread of infection, research centers around the world began to develop specific vaccines against COVID-19, using the accumulated experience and empirical data on the stereotypes of the structure and physiology of other viral agents of this family (severe acute respiratory syndrome virus (SARS) and Middle East respiratory syndrome (MERS). However, even before the development of anti-COVID vaccines, it was suggested that they are probably less effective in a number of individuals, in particular, in people who are overweight or obese. This hypothesis arose on the basis of past studies using vaccines for other purposes in this categories of people, as well as in numerous experiments on mice, thanks to which scientists came to the conclusion that, due to an excess amount of adipose tissue in the body, there is a state of a permanent inflammatory process, some immune dysfunction, and, as a result, a reduced local and systemic response. resistance against bacterial and viral agents.In this literature review, using current publications obtained by searching for “covid-19 vaccination and obesity” and “vaccination and obesity” in the PubMed databases and “covid-19 vaccination and obesity” and “vaccination and obesity” in the e- Library discusses changes in the immune response both to infection itself and to immunization in the presence of overweight or obesity

Accounting for density reduction and structural loss in standing dead trees: Implications for forest biomass and carbon stock estimates in the United States

<p>Abstract</p> <p>Background</p> <p>Standing dead trees are one component of forest ecosystem dead wood carbon (C) pools, whose national stock is estimated by the U.S. as required by the United Nations Framework Convention on Climate Change. Historically, standing dead tree C has been estimated as a function of live tree growing stock volume in the U.S.'s National Greenhouse Gas Inventory. Initiated in 1998, the USDA Forest Service's Forest Inventory and Analysis program (responsible for compiling the Nation's forest C estimates) began consistent nationwide sampling of standing dead trees, which may now supplant previous purely model-based approaches to standing dead biomass and C stock estimation. A substantial hurdle to estimating standing dead tree biomass and C attributes is that traditional estimation procedures are based on merchantability paradigms that may not reflect density reductions or structural loss due to decomposition common in standing dead trees. The goal of this study was to incorporate standing dead tree adjustments into the current estimation procedures and assess how biomass and C stocks change at multiple spatial scales.</p> <p>Results</p> <p>Accounting for decay and structural loss in standing dead trees significantly decreased tree- and plot-level C stock estimates (and subsequent C stocks) by decay class and tree component. At a regional scale, incorporating adjustment factors decreased standing dead quaking aspen biomass estimates by almost 50 percent in the Lake States and Douglas-fir estimates by more than 36 percent in the Pacific Northwest.</p> <p>Conclusions</p> <p>Substantial overestimates of standing dead tree biomass and C stocks occur when one does not account for density reductions or structural loss. Forest inventory estimation procedures that are descended from merchantability standards may need to be revised toward a more holistic approach to determining standing dead tree biomass and C attributes (i.e., attributes of tree biomass outside of sawlog portions). Incorporating density reductions and structural loss adjustments reduces uncertainty associated with standing dead tree biomass and C while improving consistency with field methods and documentation.</p

Global forest management data for 2015 at a 100 m resolution

Spatially explicit information on forest management at a global scale is critical for understanding the status of forests, for planning sustainable forest management and restoration, and conservation activities. Here, we produce the first reference data set and a prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes such as intact forests, managed forests with natural regeneration, planted forests, plantation forest (rotation up to 15 years), oil palm plantations, and agroforestry. We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki (https://www.geo-wiki.org/). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. The reference data set and the map present the status of forest ecosystems and can be used for investigating the value of forests for species, ecosystems and their services