Relationship between low relative muscle mass and aortic regional morphological changes in adults underwent contrast CT scans for cancer diagnostics.

OBJECTIVES: Low muscle mass is related to cardiovascular risk factors. This study aimed to investigate whether relative low muscle mass is related to the diameter and tortuosity of the aorta. METHODS: We performed a cross-sectional study of 208 adults without known cardiovascular disease who underwent Computed Tomography (CT) enhanced scan between 2020 and 2021. Skeletal muscle index (SMI) was estimated. The morphology of the aorta was measured by diameter and tortuosity using CT. We assessed the relationship between SMI and diameter and tortuosity of the aorta using Spearman correlation analysis and univariate and multivariate-adjusted regression models. RESULTS: Of all -individuals, 124 (59.6%) were male. The average age was 60.13 ± 16.33 years old. SMI was inversely associated with the diameter and tortuosity of the aorta (p < 0.05). Specifically, in a multivariable-adjusted model adjusting for potential confounders, a one-unit increase in the SMI was associated with a -13.56mm(95% confidence intervals (CI): -18.16 to -8.96, p < 0.001), -7.93 mm (95% CI: -10.85 to -5.02, p < 0.001), -8.01 mm (95% CI: -11.30 to -4.73, p < 0.001), -5.16 mm (95% CI: -7.57 to -2.75, p < 0.001) and -2.73 mm (95% CI: -5.18 to -0.27, p = 0.031) increase in L1-L5 diameter respectively, a -0.89 (95% CI: -1.14 to -0.64, p < 0.001) increase in the aorta tortuosity, a -0.48 (95% CI: -0.59 to -0.36, p < 0.001) increase in the descending thoracic aorta tortuosity, and a -0.44 (95% CI: -0.52 to -0.35, p < 0.001) increase in the abdominal aorta tortuosity. CONCLUSIONS: Relative muscle mass was negatively associated with the diameter and tortuosity of the aorta, suggesting muscle mass maintenance may play a role in preventing aortic morphological changes.

The impact of baseline calcified plaque volume on coronary rapid plaque progression by serial coronary computed tomography angiography in patients with type 2 diabetes.

OBJECTIVES: Patients with type 2 diabetes mellitus (T2DM) are susceptible to coronary artery disease (CAD), and coronary outcomes in these patients are heterogeneous. However, the impact of coronary plaque compositions on rapid plaque progression (RPP) in patients with T2DM has rarely been reported. This study aimed to investigate the association of coronary plaque compositions with rapid lesion volume progression in patients with T2DM. MATERIALS AND METHODS: A total of 159 subjects (aged 62.51 ± 10.3 years, 68.6% were male) who underwent serial coronary computed tomography angiography (CCTA) with type 2 diabetic status were enrolled. Annual change of plaque volume (PV) (mm3/year) was defined as PV change divided by inter-scan period. RPP was defined as the progression of plaque burden (PV divided by vessel volume multiplied by 100) ≥0.59%/year. Plaque components were compared between RPP and no RPP groups. Then all patients were divided into 3 groups according to the baseline calcified plaque volume tertiles. The outcome was whether RPP occurred. RESULTS: The median inter-scan period was 2.09 (range 1.41-3.33) years. The overall incidence of RPP was 61.0%. The calcified plaque volume decreased significantly in the RPP group as compared to the no RPP group. The risk of RPP (odds ratio [OR] 0.39; 95% confidence interval [CI]: 0.17-0.88; p = 0.024) was reduced in tertiles III as compared to that in tertiles I even after adjustment for baseline variables (OR 0.21; 95% CI: 0.07-0.63; p = 0.005). Moreover, adding the calcified plaque volume significantly raised the predictive value for the RPP (0.370, p = 0.030, and 0.059, p = 0.025, NRI, and IDI respectively) as compared to traditional factors. CONCLUSION: The baseline calcified plaque volume is an independent protective factor for the rapid progression of coronary atherosclerosis in patients with T2DM.

The calcified plaque volume of the coronary was significantly lower in T2DM subjects with RPP than in those without RPP.Higher levels of atherosclerotic calcification may have a protective value on plaque stabilization in patients with T2DM.Calcified plaque volume of the coronary should be considered when proposing risk stratification in T2DM patients.

The increasing global environmental consequences of a weakening US-China crop trade relationship.

The consideration of tariffs on China's imports of US agricultural products has focused on economic impacts, while the environmental consequences have received less attention. Here we use a global computable general equilibrium model to evaluate long-term crop portfolio changes induced by China's retaliatory agricultural tariffs and thereby assess the environmental stresses imposed by different crop production portfolios based on region-specific and crop-specific databases. We show that China's tariffs cause unintended increases in nitrogen and phosphorus pollution and blue water extraction in the United States as farmers shift from soybeans to more pollution-causing crops. If diverted to Brazil, China's soybean demands would reduce Brazilian stresses of nitrogen pollution and water use through crop portfolio changes, but may add additional pressures on phosphorus pollution and deforestation. On a global scale, trade policies could help to reduce nutrient pollution and water source depletion by promoting crop production where it is most efficient in terms of nutrient and water use.

A world of co-benefits: Solving the global nitrogen challenge.

Nitrogen is a critical component of the economy, food security, and planetary health. Many of the world's sustainability targets hinge on global nitrogen solutions, which, in turn, contribute lasting benefits for: (i) world hunger; (ii) soil, air and water quality; (iii) climate change mitigation; and (iv) biodiversity conservation. Balancing the projected rise in agricultural nitrogen demands while achieving these 21st century ideals will require policies to coordinate solutions among technologies, consumer choice, and socioeconomic transformation.

Stochastic techno-economic analysis of alcohol-to-jet fuel production.

BACKGROUND: Alcohol-to-jet (ATJ) is one of the technical feasible biofuel technologies. It produces jet fuel from sugary, starchy, and lignocellulosic biomass, such as sugarcane, corn grain, and switchgrass, via fermentation of sugars to ethanol or other alcohols. This study assesses the ATJ biofuel production pathway for these three biomass feedstocks, and advances existing techno-economic analyses of biofuels in three ways. First, we incorporate technical uncertainty for all by-products and co-products though statistical linkages between conversion efficiencies and input and output levels. Second, future price uncertainty is based on case-by-case time-series estimation, and a local sensitivity analysis is conducted with respect to each uncertain variable. Third, breakeven price distributions are developed to communicate the inherent uncertainty in breakeven price. This research also considers uncertainties in utility input requirements, fuel and by-product outputs, as well as price uncertainties for all major inputs, products, and co-products. All analyses are done from the perspective of a private firm. RESULTS: The stochastic dominance results of net present values (NPV) and breakeven price distributions show that sugarcane is the lowest cost feedstock over the entire range of uncertainty with the least risks, followed by corn grain and switchgrass, with the mean breakeven jet fuel prices being $0.96/L ($3.65/gal), $1.01/L ($3.84/gal), and $1.38/L ($5.21/gal), respectively. The variation of revenues from by-products in corn grain pathway can significantly impact its profitability. Sensitivity analyses show that technical uncertainty significantly impacts breakeven price and NPV distributions. CONCLUSIONS: Technical uncertainty is critical in determining the economic performance of the ATJ fuel pathway. Technical uncertainty needs to be considered in future economic analyses. The variation of revenues from by-products plays a significant role in profitability. With the distribution of breakeven prices, potential investors can apply whatever risk preferences they like to determine an appropriate bid or breakeven price that matches their risk profile.