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Purpose. This study aims to analyze the clinical characteristic of metabolic associated fatty liver disease (MAFLD) in patients with active Cushing's disease (CD) and determine associations of thyroid hormones with MAFLD. Methods. Patients with active CD were included in this cross-sectional study. All subjects were assessed for hepatic steatosis by abdominal ultrasonography and thyroid functions. Demographic and clinical characteristic parameters were collected for correlation analysis and logistic analysis. Results. 290 individuals with active CD were included in Huashan hospital from January 2014 to February 2022. We found that the prevalence of CD with MAFLD was 33.79%. The MAFLD group had a lower level of FT4 and a higher level of FT3/FT4 but no difference in levels of cortisol, 24 h UFC, TSH, TT4, TT3, and FT3. Correlation analysis showed positive associations of TSH, TT4, TT3, FT3, and FT3/FT4 with BMI. In age-, BMI-, sex-, cortisol-, and 24 h UFC-adjusted analysis, FT4 was independently associated with MAFLD in patients with CD. This association remained similar even after adjusting for the presence of metabolic syndrome components. Conclusion. Lower FT4 levels were associated with higher risk of MAFLD in patients with CD. FT4 may be used as a helpful indicator to predict MAFLD and provide novel ideas for the treatment of MAFLD in patients with CD in the future. [ABSTRACT FROM AUTHOR]

Biomass burning exerts substantial influences on air quality and climate, which in turn to further aggravate air quality. The biomass burning emissions in particular of the agricultural burning may suffer large uncertainties which limits the understanding of their impact on air quality. Based on an improved emission inventory of the Visible Infrared Imaging Radiometer Suite (VIIRS) relative to commonly used Global Fire Emissions Database (GFED), we thoroughly evaluate the impact of biomass burning on air quality and climate during the episodes of November 2017 in Northeast China which is rich in agriculture burning. The results first indicate substantial underestimates in simulated PM 2.5 concentrations without the inclusion of biomass burning emission inventory, based on a regional air quality model Weather Research and Forecasting model and Community Multiscale Air Quality model (WRF-CMAQ). The addition of biomass burning emissions from GFED then reduces the bias to a certain extent, which is further reduced by replacing the agricultural fires data in GFED with VIIRS. Numerical sensitivity experiments show that based on the improved emission inventory, the contribution of biomass burning emissions to PM 2.5 concentrations in Northeast China reaches 32%, contrasting to 15% based on GFED, during the episode from November 1 to 7, 2017. Aerosol direct radiative effects from biomass burning are finally elucidated, which not only reduce downward surface shortwave radiation and planetary boundary layer height, but also affect the vertical distribution of air temperature, wind speed and relative humidity, favorable to the accumulation of PM 2.5. During November 1–7, 2017, the mean daily PM 2.5 enhancement due to aerosol radiative effects from VIIRS_G is 16 μg m−3, a few times higher than that of 2.8 μg m−3 from GFED. The study stresses the critical role of biomass burning, particularly of small fires easily missed in the traditional low-resolution satellite products, on air quality. [Display omitted] • VIIRS shows higher capability than GFED in agricultural burning detection. • Mean simulated PM 2.5 bias is reduced by 5%–7% with VIIRS compared to GFED. • Biomass burning emissions from VIIRS shows doubling effects on PM 2.5 than GFED. • Aerosol radiative effects from VIIRS during episodes enhance daily PM 2.5 by 16 μg m−3 [ABSTRACT FROM AUTHOR]

Biomass burning exerts substantial influences on air quality and climate, which in turn to further aggravate air quality. The biomass burning emissions in particular of the agricultural burning may suffer large uncertainties which limits the understanding of their impact on air quality. Based on an improved emission inventory of the Visible Infrared Imaging Radiometer Suite (VIIRS) relative to commonly used Global Fire Emissions Database (GFED), we thoroughly evaluate the impact of biomass burning on air quality and climate during the episodes of November 2017 in Northeast China which is rich in agriculture burning. The results first indicate substantial underestimates in simulated PM 2.5 concentrations without the inclusion of biomass burning emission inventory, based on a regional air quality model Weather Research and Forecasting model and Community Multiscale Air Quality model (WRF-CMAQ). The addition of biomass burning emissions from GFED then reduces the bias to a certain extent, which is further reduced by replacing the agricultural fires data in GFED with VIIRS. Numerical sensitivity experiments show that based on the improved emission inventory, the contribution of biomass burning emissions to PM 2.5 concentrations in Northeast China reaches 32%, contrasting to 15% based on GFED, during the episode from November 1 to 7, 2017. Aerosol direct radiative effects from biomass burning are finally elucidated, which not only reduce downward surface shortwave radiation and planetary boundary layer height, but also affect the vertical distribution of air temperature, wind speed and relative humidity, favorable to the accumulation of PM 2.5 . During November 1-7, 2017, the mean daily PM 2.5 enhancement due to aerosol radiative effects from VIIRS_G is 16 μg m -3 , a few times higher than that of 2.8 μg m -3 from GFED. The study stresses the critical role of biomass burning, particularly of small fires easily missed in the traditional low-resolution satellite products, on air quality., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Ltd. All rights reserved.)