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\"The Global Response Force (GRF) is built for rapid response to unforeseen or, more specifically, unplanned operations. Selected Army airborne forces provide a large portion of the GRF and are dependent on joint concepts for deployment and access. This study illustrates a method for determining the best access strategies given constraints in aircraft, intermediate staging bases, operational capabilities, and other factors. The study applies this method to each geographic combatant command and develops specific, tailored strategies for each. The access strategies are built from multiple analytic techniques: historical aircraft data and platform specifications to determine capabilities and limitations of the air fleet; several airfield databases, site reports, and expert judgments to determine probable intermediate staging base locations and their likely capabilities; multiple deployment concepts for access to minimize operational risks; and detailed geographic and operational analysis to determine global coverage and reach. In the end, we were able to deduce a preferred strategy for each of the combatant commands. Global access for the GRF is provided partially through the use of well-established staging bases but will necessarily rely on austere basing and complex deployment concepts for particular locations in multiple combatant commands. The study concludes with several recommendations to close those risks, which span the services, combatant commands, and joint staff\"--Back cover.

Non-alcoholic fatty liver disease (NAFLD) shows an increasing prevalence and is associated with the development of liver fibrosis and cirrhosis as the major risk factors of liver-related mortality in this disease. The therapeutic possibilities are limited and restricted to life style intervention, since specific drugs for NAFLD are unavailable so far. TNFα has been implicated as a major pathogenic driver of NAFLD. TNFα-mediated liver injury occurs mainly via TNF-receptor-1 (TNFR1) signaling, whereas TNFR2 mediates protective pathways. In this study, we analyzed the therapeutic effects of a novel antibody, which selectively inhibits TNFR1 while retaining protective TNFR2 signaling in a high-fat diet (HFD) mouse model of NAFLD. Mice were fed with HFD for 32 weeks and treated with anti-TNFR1-antibody or control-antibody for the last 8 weeks. We then investigated the mechanisms of TNFR1 inhibition on liver steatosis, inflammatory liver injury, insulin resistance and fibrosis. Compared to control-antibody treatment, TNFR1 inhibition significantly reduced liver steatosis and triglyceride content, which was accompanied by reduced expression and activation of the transcription factor SREBP1 and downstream target genes of lipogenesis. Furthermore, inhibition of TNFR1 resulted in reduced activation of the MAP kinase MKK7 and its downstream target JNK, which was associated with significant improvement of insulin resistance. Apoptotic liver injury, NAFLD activity and alanine aminotransferase (ALT) levels, as well as liver fibrosis significantly decreased by anti-TNFR1 compared to control-antibody treatment. Thus, our results suggest selective TNFR1 inhibition as a promising approach for NAFLD treatment.

Hepatocellular carcinoma (HCC) represents a global health challenge with limited therapeutic options. Anti-angiogenic immune checkpoint inhibitor-based combination therapy has been introduced for progressed HCC, but improves survival only in a subset of HCC patients. Tyrosine-kinase inhibitors (TKI) such as sorafenib represent an alternative treatment option but have only modest efficacy. Using different HCC cell lines and HCC tissues from various patients reflecting HCC heterogeneity, we investigated whether the sorafenib response could be enhanced by combination with pro-apoptotic agents, such as TNF-related apoptosis-inducing ligand (TRAIL) or the BH3-mimetic ABT-737, which target the death receptor and mitochondrial pathway of apoptosis, respectively. We found that both agents could enhance sorafenib-induced cell death which was, however, dependent on specific BH3-only proteins. TRAIL augmented sorafenib-induced cell death only in NOXA-expressing HCC cells, whereas ABT-737 enhanced the sorafenib response also in NOXA-deficient cells. ABT-737, however, failed to augment sorafenib cytotoxicity in the absence of BIM, even when NOXA was strongly expressed. In the presence of NOXA, BIM-deficient HCC cells could be in turn strongly sensitized for cell death induction by the combination of sorafenib with TRAIL. Accordingly, HCC tissues sensitive to apoptosis induction by sorafenib and TRAIL revealed enhanced NOXA expression compared to HCC tissues resistant to this treatment combination. Thus, our results suggest that BH3-only protein expression determines the treatment response of HCC to different sorafenib-based drug combinations. Individual profiling of BH3-only protein expression might therefore assist patient stratification to certain TKI-based HCC therapies.

Therapeutics that block tumor necrosis factor (TNF), and thus activation of TNF receptor 1 (TNFR1) and TNFR2, are clinically used to treat inflammatory diseases such as rheumatoid arthritis, inflammatory bowel disease and psoriasis. However, TNFR1 and TNFR2 work antithetically to balance immune responses involved in inflammatory diseases. In particular, TNFR1 promotes inflammation and tissue degeneration, whereas TNFR2 contributes to immune modulation and tissue regeneration. We, therefore, have developed the monovalent antagonistic anti-TNFR1 antibody derivative Atrosimab to selectively block TNFR1 signaling, while leaving TNFR2 signaling unaffected. Here, we describe that Atrosimab is highly stable at different storage temperatures and demonstrate its therapeutic efficacy in mouse models of acute and chronic inflammation, including experimental arthritis, non-alcoholic steatohepatitis (NASH) and experimental autoimmune encephalomyelitis (EAE). Our data support the hypothesis that it is sufficient to block TNFR1 signaling, while leaving immune modulatory and regenerative responses via TNFR2 intact, to induce therapeutic effects. Collectively, we demonstrate the therapeutic potential of the human TNFR1 antagonist Atrosimab for treatment of chronic inflammatory diseases.

Biodiversity loss necessitates improved monitoring of small, species‐rich taxa, such as protists, phyto‐ and zooplankton and terrestrial invertebrates. Traditional biomonitoring is often infeasible for these taxa due to complex morphology and few taxonomists. DNA‐based approaches offer promising solutions by enabling rapid species identification. However, the effectiveness of these methods depends on the completeness of molecular reference databases, which remain incomplete, particularly for remote and biodiverse regions. To address this, we propose the StrataSeq workflow, a systematic approach to optimise the generation of DNA reference databases for hard‐to‐identify taxa. Reference sequences allow us to connect molecular operational taxonomic units to a wealth of information available for many described taxa. StrataSeq consists of four key steps: (1) Habitat‐stratified sample subsetting selects a minimal but ecologically representative sample set by stratifying along key environmental gradients. (2) Prioritising morphospecies involves sorting specimens into morphospecies and ranking them based on their occurrence across samples, prioritising common taxa for detailed identification. (3) Detailed morphological identification focuses on common morphospecies to maximise taxonomic coverage while minimising effort. (4) Reference DNA sequence generation targets taxa lacking molecular references, with sequenced specimens deposited as museum vouchers. We benchmarked the StrataSeq workflow using two datasets of Collembola from grassland soils in Germany. In comparison with a species list generated by a more labour‐intensive traditional approach (identification of randomly selected individuals from all samples), the StrataSeq workflow captured 69% of species but required only 22% of the effort. StrataSeq is adaptable to various organism groups and environmental settings, including both spatial and temporal gradients. The workflow enhances the cost‐effectiveness of generating reference DNA databases, supporting improved biodiversity monitoring and ecological research. StrataSeq offers a scalable solution to accelerate the completion of molecular databases, thereby improving biomonitoring and ecosystem assessments under global change pressures. Biodiversity loss calls for better monitoring of small, species‐rich taxa, such as soil invertebrates, but traditional methods are limited due to complex morphology and lack of expertise. DNA‐based approaches offer a solution, but their effectiveness depends on incomplete molecular reference databases. The StrataSeq workflow optimises DNA reference generation through habitat stratification, prioritising common species for detailed identification and sequencing specimens lacking molecular references, making biodiversity monitoring more efficient and cost‐effective, as shown by its successful application to Collembola in German grasslands.

Decomposers provide an essential ecosystem service that contributes to sustainable production in rice ecosystems by driving the release of nutrients from organic crop residues. During a single rice crop cycle we examined the effects of four different crop residue management practices (rice straw or ash of burned straw scattered on the soil surface or incorporated into the soil) on rice straw decomposition and on the abundance of aquatic and soil-dwelling invertebrates. Mass loss of rice straw in litterbags of two different mesh sizes that either prevented or allowed access of meso- and macro-invertebrates was used as a proxy for decomposition rates. Invertebrates significantly increased total loss of litter mass by up to 30%. Initially, the contribution of invertebrates to decomposition was significantly smaller in plots with rice straw scattered on the soil surface; however, this effect disappeared later in the season. We found no significant responses in microbial decomposition rates to management practices. The abundance of aquatic fauna was higher in fields with rice straw amendment, whereas the abundance of soil fauna fluctuated considerably. There was a clear separation between the overall invertebrate community structure in response to the ash and straw treatments. However, we found no correlation between litter mass loss and abundances of various lineages of invertebrates. Our results indicate that invertebrates can contribute to soil fertility in irrigated paddy fields by decomposing rice straw, and that their abundance as well as efficiency in decomposition may be promoted by crop residue management practices.

Land-use intensification is a major driver of biodiversity loss. However, understanding how different components of land use drive biodiversity loss requires the investigation of multiple trophic levels across spatial scales. Using data from 150 agricultural grasslands in central Europe, we assess the influence of multiple components of local- and landscape-level land use on more than 4,000 above- and belowground taxa, spanning 20 trophic groups. Plot-level land-use intensity is strongly and negatively associated with aboveground trophic groups, but positively or not associated with belowground trophic groups. Meanwhile, both above- and belowground trophic groups respond to landscape-level land use, but to different drivers: aboveground diversity of grasslands is promoted by diverse surrounding land-cover, while belowground diversity is positively related to a high permanent forest cover in the surrounding landscape. These results highlight a role of landscape-level land use in shaping belowground communities, and suggest that revised agroecosystem management strategies are needed to conserve whole-ecosystem biodiversity. Land use intensification is a major driver of biodiversity change. Here the authors measure diversity across multiple trophic levels in agricultural grassland landscapes of varying management, finding decoupled responses of above- and belowground taxa to local factors and a strong impact of landscape-level land use.

Organismal functional strategies form a continuum from slow- to fast-growing organisms, in response to common drivers such as resource availability and disturbance. However, whether there is synchronisation of these strategies at the entire community level is unclear. Here, we combine trait data for >2800 above- and belowground taxa from 14 trophic guilds spanning a disturbance and resource availability gradient in German grasslands. The results indicate that most guilds consistently respond to these drivers through both direct and trophically mediated effects, resulting in a ‘slow-fast’ axis at the level of the entire community. Using 15 indicators of carbon and nutrient fluxes, biomass production and decomposition, we also show that fast trait communities are associated with faster rates of ecosystem functioning. These findings demonstrate that ‘slow’ and ‘fast’ strategies can be manifested at the level of whole communities, opening new avenues of ecosystem-level functional classification. Although co-occurring species may differ widely in their response traits, coordinated functional trait shifts may emerge at the community level in response to environmental factors. Here, the authors use data from 150 grassland sites to identify a coordinated slow-fast strategy response to land-use intensification across above- and belowground taxa.