Relationship of postprandial fibroblast growth factor 21 with lipids, inflammation and metabolic dysfunction-associated fatty liver disease during oral fat tolerance test.

Introduction: Metabolic dysfunction-associated fatty liver disease (MAFLD) is closely associated with serum fibroblast growth factor (FGF) 21; however, previous studies have typically focused on the static fasting state, and the relationships between postprandial FGF21 levels, postprandial metabolic status, and MAFLD remain unclear. Therefore, we measured postprandial lipids, inflammatory factors, and FGF21 levels in MAFLD and further analyzed their relationship using an oral fat tolerance test (OFTT). Patients and methods: In total, 103 non-diabetic adult volunteers, including 46 patients with MAFLD, were included in this study. All participants underwent the OFTT. Venous blood samples were collected at 0, 2, 4, and 6 h. Circulating total cholesterol (TC), triglyceride (TG), free fatty acid (FFA), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), interleukin-6(IL-6), tumor necrosis factor-α(TNF-α), hypersensitive-C reactive protein(hs-CRP) and FGF21 were assessed. Results: Serum FGF21 significantly increased in the fasting state (P < 0.05) and showed a biphasic change of first decreasing and then increasing in MAFLD during the OFTT. The postprandial levels of TG, TC, LDL-C, FFA, IL-6, TNF-α and hs-CRP were significantly increased in MAFLD (P < 0.05). After adjusting for multiple factors, the FGF21 incremental area under the curve (iAUC) was linearly correlated with the FFA iAUC, TG iAUC, and IL-6 iAUC (P < 0.05) and was an independent factor for MAFLD (P < 0.05, OR=1.403). Conclusion: Dyslipidemia and excessive inflammation in MAFLD are associated to FGF21 levels in the postprandial period. An abnormal postprandial FGF21 response may be an important mechanism of MAFLD.

Correlation Between the Levels of ANGPTL3, ANGPTL4, ANGPTL8 and Postprandial Triglyceride-Rich Lipoprotein (TRL).

Purpose: To investigate the effects of different angiopoietin-like proteins (ANGPTLs) on postprandial hypertriglyceridemia (PPT) by analyzing changes in serum lipid, ANGPTL3, ANGPTL4, and ANGPTL8 levels before and after a high-fat diet in individuals with normal fasting lipid and oral glucose tolerance test results. Patients and Methods: Exactly 103 volunteers were recruited for an oral fat tolerance test (OFTT). Blood samples were obtained at 0, 2, and 4 h after eating to detect relevant indicators. PPT was defined as triglyceride (TG) levels ≥ 2.5 mmol/L. According to the test results, the participants were divided into two groups: postprandial normal triglycerides (PNT) and PPT. The levels of blood lipids and ANGPTL3, ANGPTL4, and ANGPTL8 were compared between the two groups. Results: There were differences in the body mass index (BMI), waist circumference (WC), fasting total cholesterol (TC), TG, low-density lipoprotein cholesterol (LDL-C), triglyceride-rich lipoprotein cholesterol (TRL-C), non-high-density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (ApoB), ApoA1/ApoB, fasting blood glucose (FBG), fasting insulin (FINS), ANGPTL4, and ANGPTL8 between the two groups. In the PNT group, the TG level increased from baseline at 2 and 4 h, TRL-C increased from baseline at 4 h, and ANGPTL8 decreased from baseline at 2 and 4 h. After OFTT, the levels of TG, TRL-C, ANGPTL3, and ANGPTL4 in the PPT group gradually increased; ANGPTL8 gradually decreased. Fasting ANGPTL3 was positively associated with age, TC, HDL-C, TRL-C, and ApoA1, and negatively associated with systolic blood pressure. Fasting ANGPTL4 was positively correlated with weight, WC, BMI, TC, TG, LDL-C, TRL-C, non-HDL-C, ApoB, FBG, and FINS, and negatively correlated with ApoA1/ApoB and fasting ANGPTL8. Binary logistic regression analysis indicated that ANGPTL4 and ANGPTL8 were significant predictors of PPT. Conclusion: PPT occurrence is closely associated with changes in ANGPTL4 and ANGPTL8 levels.

[Spatio-temporal Change in City-level Greenhouse Gas Emissions from Municipal Solid Waste Sector in China During the Last Decade and Its Potential Mitigation].

The waste sector is a significant source of greenhouse gas(GHG) emissions and clarifying its emission trends and characteristics is the premise for formulating GHG emission reduction strategies. Using the IPCC inventory model, the GHG emissions from the municipal solid waste(MSW) sector in China during 2010 to 2020 were estimated. The results showed that GHG emissions increased from 42.5 Mt in 2010 to 75.3 Mt in 2019, then decreased to 72.1 Mt in 2020. MSW landfills were the main source of GHG emissions. Further, with the increase in the proportion of waste incineration, the proportion of GHG incineration increased rapidly from 16.5% in 2010 to 60.1% in 2020. In terms of regional distribution, East and South China were the regions with the highest emissions, and Guangdong, Shandong, Jiangsu, and Zhejiang were the provinces with the largest GHG emissions. Implementing MSW classification, changing the MSW disposal modes from landfilling to incineration, improving the LFG collection efficiency of landfills, and using biological functional materials as the cover soil to strengthen the methane oxidation efficiency are the main measures to achieve GHG emission reduction in waste sectors.

[Influence of the Classification of Municipal Solid Wastes on the Reduction of Greenhouse Gas Emissions: A Case Study of Qingdao City, China].

The municipal solid waste (MSW) sector is an important source of greenhouse gas (GHG) emissions. MSW classification can achieve waste reduction and improve resource utilization. However, few studies have investigated the effects of MSW classification on GHG emission reduction. Therefore, the GHG emissions under different MSW disposal modes before and after classification were studied based on the life cycle assessment method in the four districts of Qingdao City. The results showed that MSW classification could significantly reduce the GHG emissions during the whole MSW treatment process. The net carbon emissions(in CO2/MSW)during the whole process of waste treatment for mode 1 (mixed collection+landfill), mode 2 (mixed collection+incineration), mode 3 (waste classification+anaerobic digestion of food waste and other incineration), and mode 4 (waste classification+anaerobic digestion of food waste, recycling of recyclable waste, and other incineration) were 686.39, -130.12, -61.88, and -230.17 kg·t-1, respectively. Improving the classification efficiency of food waste had no significant impact on carbon emissions. The reduction in carbon emissions increased linearly with the improvement of waste recycling efficiency. For every 10% increase in the recovery efficiency of recyclable waste, the net carbon emission decreased by 26.6%(16.5 kg·t-1). Appropriate separation of food waste, improving the recycling efficiency of recyclable waste, and reducing the leakage rate of biogas from anaerobic digestion are feasible strategies to reduce carbon emissions from MSW disposal units through the classification of MSW.