Protective Effect and Mechanisms of New Gelatin on Chemotherapy-Induced Hematopoietic Injury Zebrafish Model.

The aim of the study is to explore the protective effect of new gelatin (NG, Xin'ejiao in China) on hematopoietic injury caused by chemotherapy. Zebrafish, at 48 hours post fertilization (hpf), was treated with different chemotherapeutic drugs to establish the zebrafish hematopoietic damage model with reduced thrombocytes and erythrocytes. The protecting effects of NG on the thrombocytes and erythrocytes were observed, respectively, on zebrafish models. Then, the RT-PCR method was used to detect the change of mRNA level of the hematopoiesis-related cytokines scl1, c-myb, pu.1, GATA1, and runx1 genes. The results showed that 50 µg·mL-1 and 100 µg·mL-1 NG rescued and increased the thrombocytes numbers induced by vinorelbine (NVB) and chloramphenicol (CHL) and the erythrocytes numbers induced by methotrexate (MTX), doxorubicin (ADM), and mechlorethamine hydrochloride (MH) in zebrafish models. Meanwhile, the mRNA expression of scl1, c-myb, and GATA1 genes in the NG treatment group was raised compared with the MTX treatment group. Also, the mRNA expression of pu.1 and Runx1 in the NG treatment group was reduced compared with the MTX treatment group. In consequence, traditional Chinese medicine NG showed a certain degree protective effect on hematopoiesis injury induced by chemotherapy in this study, which may depend on the promotion of erythrocytes proliferation and the regulation of the hematopoietic genes level.

Multi-scale geospatial agroecosystem modeling: a case study on the influence of soil data resolution on carbon budget estimates.

The development of effective measures to stabilize atmospheric CO2 concentration and mitigate negative impacts of climate change requires accurate quantification of the spatial variation and magnitude of the terrestrial carbon (C) flux. However, the spatial pattern and strength of terrestrial C sinks and sources remain uncertain. In this study, we designed a spatially-explicit agroecosystem modeling system by integrating the Environmental Policy Integrated Climate (EPIC) model with multiple sources of geospatial and surveyed datasets (including crop type map, elevation, climate forcing, fertilizer application, tillage type and distribution, and crop planting and harvesting date), and applied it to examine the sensitivity of cropland C flux simulations to two widely used soil databases (i.e. State Soil Geographic-STATSGO of a scale of 1:250,000 and Soil Survey Geographic-SSURGO of a scale of 1:24,000) in Iowa, USA. To efficiently execute numerous EPIC runs resulting from the use of high resolution spatial data (56m), we developed a parallelized version of EPIC. Both STATSGO and SSURGO led to similar simulations of crop yields and Net Ecosystem Production (NEP) estimates at the State level. However, substantial differences were observed at the county and sub-county (grid) levels. In general, the fine resolution SSURGO data outperformed the coarse resolution STATSGO data for county-scale crop-yield simulation, and within STATSGO, the area-weighted approach provided more accurate results. Further analysis showed that spatial distribution and magnitude of simulated NEP were more sensitive to the resolution difference between SSURGO and STATSGO at the county or grid scale. For over 60% of the cropland areas in Iowa, the deviations between STATSGO- and SSURGO-derived NEP were larger than 1MgCha(-1)yr(-1), or about half of the average cropland NEP, highlighting the significant uncertainty in spatial distribution and magnitude of simulated C fluxes resulting from differences in soil data resolution.

Comparison between the NERS (New Risk Stratification) score and the SYNTAX (Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery) score in outcome prediction for unprotected left main stenting.

OBJECTIVES: This study aimed to compare the NERS (New Risk Stratification) and SYNTAX (Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery) scores for prognostication after stenting of unprotected left main stenosis in a "real-world" setting. BACKGROUND: In contrast to existing systems, the NERS score encompasses clinical, procedural, and angiographic characteristics. METHODS: The NERS score was derived from 260 patients with unprotected left main stenosis who underwent percutaneous coronary intervention and tested in 337 patients in a consecutive left main registry (66.55 +/- 10.49 years, 78.9% men) undergoing percutaneous coronary intervention in a prospective, multicenter trial. Six-month clinical and angiographic follow-up was obtained in 100% and 88.9% of patients, respectively. The primary end point was major adverse cardiac events (MACE), encompassing myocardial infarction, all-cause death, and target vessel revascularization. Receiver-operator characteristic (ROC) curve was generated for the comparison of NERS versus SYNTAX scores. RESULTS: The NERS score consisted of 54 variables (17 clinical, 4 procedural, and 33 angiographic). A NERS score > or =25 demonstrated a sensitivity and specificity of 92.0% and 74.1% (MACE as state variable), respectively, significantly higher than SYNTAX intermediate risk (20.5% and 25.4%) or SYNTAX higher risk (70.5% and 35.2%, p for all <0.001). At follow-up, myocardial infarction, cardiac death, and target vessel revascularization occurred in 3.0%, 5.6%, and 13.1% of patients, respectively, for a composite MACE of 26.0%. A NERS score > or =25 (hazard ratio: 1.13; 95% confidence interval [CI]: 1.11 to 1.16; p < 0.001) was the only independent predictor of cumulative MACE and stent thrombosis at follow-up (odds ratio: 31.04; 95% CI: 19.36 to 67.07; p < 0.001). CONCLUSIONS: The NERS score was more predictive of MACE than the SYNTAX score was. Further study is needed to address their relative roles in assessment for appropriateness of coronary artery bypass graft versus percutaneous coronary intervention for unprotected left main coronary artery stenosis.