Light and Heavy Fractions of Soil Organic Matter in Response to Climate Warming and Increased Precipitation in a Temperate Steppe

Soil is one of the most important carbon (C) and nitrogen (N) pools and plays a crucial role in ecosystem C and N cycling. Climate change profoundly affects soil C and N storage via changing C and N inputs and outputs. However, the influences of climate warming and changing precipitation regime on labile and recalcitrant fractions of soil organic C and N remain unclear. Here, we investigated soil labile and recalcitrant C and N under 6 years' treatments of experimental warming and increased precipitation in a temperate steppe in Northern China. We measured soil light fraction C (LFC) and N (LFN), microbial biomass C (MBC) and N (MBN), dissolved organic C (DOC) and heavy fraction C (HFC) and N (HFN). The results showed that increased precipitation significantly stimulated soil LFC and LFN by 16.1% and 18.5%, respectively, and increased LFC∶HFC ratio and LFN∶HFN ratio, suggesting that increased precipitation transferred more soil organic carbon into the quick-decayed carbon pool. Experimental warming reduced soil labile C (LFC, MBC, and DOC). In contrast, soil heavy fraction C and N, and total C and N were not significantly impacted by increased precipitation or warming. Soil labile C significantly correlated with gross ecosystem productivity, ecosystem respiration and soil respiration, but not with soil moisture and temperature, suggesting that biotic processes rather than abiotic factors determine variations in soil labile C. Our results indicate that certain soil carbon fraction is sensitive to climate change in the temperate steppe, which may in turn impact ecosystem carbon fluxes in response and feedback to climate change

Dasatinib as a Bone-Modifying Agent: Anabolic and Anti-Resorptive Effects

This is an open-access article distributed under the terms of the Creative Commons Attribution License.-- et al.[Background]: Bone loss, in malignant or non-malignant diseases, is caused by increased osteoclast resorption and/or reduced osteoblast bone formation, and is commonly associated with skeletal complications. Thus, there is a need to identify new agents capable of influencing bone remodeling. We aimed to further pre-clinically evaluate the effects of dasatinib (BMS-354825), a multitargeted tyrosine kinase inhibitor, on osteoblast and osteoclast differentiation and function. [Methods]: For studies on osteoblasts, primary human bone marrow mensenchymal stem cells (hMSCs) together with the hMSC-TERT and the MG-63 cell lines were employed. Osteoclasts were generated from peripheral blood mononuclear cells (PBMC) of healthy volunteers. Skeletally-immature CD1 mice were used in the in vivo model. [Results]: Dasatinib inhibited the platelet derived growth factor receptor-β (PDGFR-β), c-Src and c-Kit phosphorylation in hMSC-TERT and MG-63 cell lines, which was associated with decreased cell proliferation and activation of canonical Wnt signaling. Treatment of MSCs from healthy donors, but also from multiple myeloma patients with low doses of dasatinib (2-5 nM), promoted its osteogenic differentiation and matrix mineralization. The bone anabolic effect of dasatinib was also observed in vivo by targeting endogenous osteoprogenitors, as assessed by elevated serum levels of bone formation markers, and increased trabecular microarchitecture and number of osteoblast-like cells. By in vitro exposure of hemopoietic progenitors to a similar range of dasatinib concentrations (1-2 nM), novel biological sequelae relative to inhibition of osteoclast formation and resorptive function were identified, including F-actin ring disruption, reduced levels of c-Fos and of nuclear factor of activated T cells 1 (NFATc1) in the nucleus, together with lowered cathepsin K, αVβ3 integrin and CCR1 expression. [Conclusions]: Low dasatinib concentrations show convergent bone anabolic and reduced bone resorption effects, which suggests its potential use for the treatment of bone diseases such as osteoporosis, osteolytic bone metastasis and myeloma bone disease. © 2012 Garcia-Gomez et al.This work was supported by grants from the Spanish Ministry of Science and Innovation – ISCIII (PI081825); Mutua Madrileña Medical Research Foundation (AP27262008); Centro en Red of Regenerative Medicine and Cellular Therapy from Castilla y León, Consejería de Sanidad JCyL – ISCIII; the Cooperative Research Thematic Network in Cancer (RTICC; RD06/0020/0006 and RD03/0020/0041); and Spanish FIS (PS09/01897). AG-G and CS are supported by the Centro en Red of Regenerative Medicine and Cellular Therapy from Castilla y León Project.Peer Reviewe

Dietary Egg White Hydrolysate Prevents Male Reproductive Dysfunction after Long-Term Exposure to Aluminum in Rats

Aluminum (Al) is a non-essential metal omnipresent in human life and is considered an environmental toxicant. Al increases reactive oxygen production and triggers immune responses, contributing to chronic systemic inflammation development. Here, we have tested whether an egg white hydrolysate (EWH) with potential bioactive properties can protect against changes in reproductive function in rats exposed to long-term Al dietary levels at high and low doses. Male Wistar rats received orally: low aluminum level group—AlCl3 at 8.3 mg/kg b.w. for 60 days with or without EWH (1 g/kg/day); high aluminum level group—AlCl3 at 100 mg/kg b.w. for 42 days with or without EWH (1 g/kg/day). The co-administration of EWH prevented the increased Al deposition surrounding the germinative cells, reducing inflammation and oxidative stress in the reproductive organs. Furthermore, the daily supplementation with EWH maintained sperm production and sperm quality similar to those found in control animals, even after Al exposure at a high dietary contamination level. Altogether, our results suggest that EWH could be used as a protective agent against impairment in the reproductive system produced after long-term exposure to Al at low or high human dietary levels.</jats:p

PID Controllers as Data Assimilation Tool for 1D Hydrodynamic Models of Different Complexity

Flood risks management is based on data obtained by different forecasts. Forecasts are often based on hydrological-hydrodynamic models. These models are calibrated using selected time-series from the past. However, even calibrated models in later exploitation phases can produce solutions of unsatisfying accuracy. Some of the reasons are uncertainty in the initial and boundary conditions, uncertainty of the input data and uncertainty in riverbed geometry. The aim of the assimilation is to improve the results obtained from the previously calibrated model by coupling it with observed data. To assimilate, the model is run for a short previous period and the state of the model is adjusted to observed data. The corrected model state is then used as an initial state to run the model with for short-term forecast of input data. Assimilation method based on the PID controller for 1D river hydrodynamic models is analyzed in this paper. This method adjusts the state in the hydrodynamic models according to the measurements indirectly by adding or subtracting the discharge in the junction/sections with measured water level. The influence of the hydrodynamic model complexity is analyzed, comparing three models: non-inertia model, diffusion wave and dynamic wave model. Results show that PID control can be adequately used even coupled with simplified hydraulic models for short-term assimilation and forecast, without significant loss of accuracy. PID control-based data assimilation also yields significant reduction in the computational runtime