Moderating effect of a sodium-rich diet on the association between long-term exposure to fine particulate matter and blood lipids in children and adolescents.

BACKGROUND: Several studies reported that exposure to higher levels of fine particulate matter (PM2.5) was associated with deteriorated lipid profiles in children and adolescents. However, whether a sodium-rich diet could modify the associations remains unknown. We aimed to examine the associations of long-term exposure to PM2.5 with blood lipids in children and adolescents, and further examine the effect modification by dietary and urinary sodium levels based on a multi-community population in China. METHODS: The 3711 study participants were from a cross-sectional study, which interviewed children and adolescents aged 6 to 17 years across Sichuan Province, China between 2015 and 2017. Blood lipid outcomes including blood total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG) were assessed. Information on daily dietary sodium consumption was estimated with a semi-quantitative food frequency questionnaire (FFQ), and urinary sodium was used as an internal exposure biomarker. A linear regression model was applied to estimate the associations of prior 2-years' average exposure to ambient PM2.5 with blood lipids. The effect modification by dietary and urinary sodium was examined by stratified analyses. RESULTS: The participants from rural areas had higher levels of daily sodium consumptions. The results of multivariable regression analysis indicated that per 10 µg/m3 incremental change in PM2.5 was associated with a 1.56% (95% confidence interval 0.90%-2.23%) and a 2.26% (1.15%-3.38%) higher blood TC and LDL-C levels, respectively. Among the study participants with higher levels of dietary sodium or urinary sodium, exposure to higher levels of PM2.5 was significantly associated with deteriorated lipid profiles. For example, each 10 µg/m3 incremental change in exposure to PM2.5 was correlated with a 2.83 (-4.65 to -0.97) lower percentage decrease in blood HDL-C levels among the participants who were from the highest quartile of urinary sodium levels. While, these associations changed to be nonsignificant in the participants who were from the lowest quartile of dietary sodium levels. CONCLUSION: Exposure to higher levels of PM2.5 was associated with deteriorated blood lipid levels in children and adolescents. It is noteworthy that these associations might be ameliorated through the adoption of a low-sodium dietary regimen.

[Risk Factors of Rapidly Progressive Interstitial Lung Disease in Patients With Anti-Melanoma Differentiation-Associated Gene 5 Antibody-Positive Dermatomyositis].

Objective: To investigate the conditions of patients with anti-melanoma differentiation-associated gene 5 (MDA5) antibody-positive dermatomyositis combined with rapidly progressive interstitial lung disease (RPILD), and to analyze the risk factors. Methods: A total of 145 patients diagnosed with anti-MDA5 antibody-positive dermatomyositis at West China Hospital, Sichuan University between January 2018 and September 2021 were selected, and their general and clinical data were collected. The patients were divided into two groups, a RPILD group of patients with comorbid RPILD and a non-RPILD group of those who did not have comorbid RPILD. Factors that might affect whether patients with anti-MDA5 antibody-positive dermatomyositis also had comorbid RPILD were screened out and binary logistic regression analysis was performed. Results: Among the 145 patients with anti-MDA5 antibody-positive dermatomyositis, 32 (22.07%) patients had comorbid RPILD, while the remaining 113 (77.93%) did not have comorbid RPILD. Binary logistic regression analysis showed that lactate dehydrogenase≥370 IU/L (compared with <370 IU/L, OR=4.066, 95% CI: 1.616-10.230) and carcinoembryo antigen≥5 ng/mL (compared with <5 ng/mL, OR=6.070, 95% CI: 2.013-18.303) were risk factors for comorbid RPILD in patients with anti-MDA5 antibody-positive dermatomyositis ( ß>0, OR>1, P<0.05). Conclusion: It is recommended that close attention be given to changes in high-resolution chest CT and pulmonary functions in patients with lactate dehydrogenase≥370 IU/L and carcinoembryo antigen≥5 ng/mL. If rapid progression of lung disease is detected, it is necessary to strengthen the treatment of the lung disease, thereby improving the prognosis of patients.

The development of a colorimetric biosensing assay for the detection of Helicobacter pylori in feces.

As Helicobacter pylori (H. pylori) is closely related to the occurrence of gastric diseases such as chronic gastritis, peptic ulcer, and gastric cancer, early detection of H. pylori is an urgent need. In this study, oligonucleotide probes conjugated with gold nanoparticles (AuNPs) were used in combination with H. pylori-specific aptamers for the rapid detection of H. pylori in stool samples, which converted the method of detection from proteins to nucleic acids. Therefore, qualitative detection of H. pylori can be achieved by observing color changes through the aggregation (red to purple) or deaggregation (purple to red) of AuNPs, and further quantitative detection can be achieved through UV spectrometry. The detection limit of the colorimetric biosensing method is 25 CFU/mL (S/N = 3), which is favorably comparable to other reported detection methods. Compared with the existing detection methods for H. pylori, this colorimetric biosensing method has no limitations to the test subjects. All these features render the colorimetric biosensing assay a promising method for the clinical field detection of H. pylori.

Quantitative Estimation of the Climatic Effects of Carbon Transferred by International Trade.

Carbon transfer via international trade affects the spatial pattern of global carbon emissions by redistributing emissions related to production of goods and services. It has potential impacts on attribution of the responsibility of various countries for climate change and formulation of carbon-reduction policies. However, the effect of carbon transfer on climate change has not been quantified. Here, we present a quantitative estimate of climatic impacts of carbon transfer based on a simple CO2 Impulse Response Function and three Earth System Models. The results suggest that carbon transfer leads to a migration of CO2 by 0.1-3.9 ppm or 3-9% of the rise in the global atmospheric concentrations from developed countries to developing countries during 1990-2005 and potentially reduces the effectiveness of the Kyoto Protocol by up to 5.3%. However, the induced atmospheric CO2 concentration and climate changes (e.g., in temperature, ocean heat content, and sea-ice) are very small and lie within observed interannual variability. Given continuous growth of transferred carbon emissions and their proportion in global total carbon emissions, the climatic effect of traded carbon is likely to become more significant in the future, highlighting the need to consider carbon transfer in future climate negotiations.

Developed and developing world responsibilities for historical climate change and CO2 mitigation.

At the United Nations Framework Convention on Climate Change Conference in Cancun, in November 2010, the Heads of State reached an agreement on the aim of limiting the global temperature rise to 2 °C relative to preindustrial levels. They recognized that long-term future warming is primarily constrained by cumulative anthropogenic greenhouse gas emissions, that deep cuts in global emissions are required, and that action based on equity must be taken to meet this objective. However, negotiations on emission reduction among countries are increasingly fraught with difficulty, partly because of arguments about the responsibility for the ongoing temperature rise. Simulations with two earth-system models (NCAR/CESM and BNU-ESM) demonstrate that developed countries had contributed about 60-80%, developing countries about 20-40%, to the global temperature rise, upper ocean warming, and sea-ice reduction by 2005. Enacting pledges made at Cancun with continuation to 2100 leads to a reduction in global temperature rise relative to business as usual with a 1/3-2/3 (CESM 33-67%, BNU-ESM 35-65%) contribution from developed and developing countries, respectively. To prevent a temperature rise by 2 °C or more in 2100, it is necessary to fill the gap with more ambitious mitigation efforts.