Recently,the global background concentration of ozone(O_(3))has demonstrated a rising trend.Among various methods,groun-basedmonitoring of O_(3)concentrations is highly reliable for research analysis.To obtain informa...Recently,the global background concentration of ozone(O_(3))has demonstrated a rising trend.Among various methods,groun-basedmonitoring of O_(3)concentrations is highly reliable for research analysis.To obtain information on the spatial characteristics of O_(3)concentrations,it is necessary that the groundmonitoring sites be constructed in sufficient density.In recent years,many researchers have used machine learning models to estimate surface O_(3)concentrations,which cannot fully provide the spatial and temporal information contained in a sample dataset.To solve this problem,the current study utilized a deep learning model called the Residual connection Convolutional Long Short-Term Memory network(RConvLSTM)to estimate daily maximum8-hr average(MDA8)O_(3)over Jiangsu province,China during 2020.In this research,the R-ConvLSTM model not only provides the spatiotemporal information ofMDA8 O_(3),but also involves residual connection to avoid the problem of gradient explosion and gradient disappearance with the deepening of network layers.We utilized the TROPOMI total O_(3)column retrieved fromSentinel-5 Precursor,ERA5 reanalysismeteorological data,and other supplementary data to build a pre-trained dataset.The R-ConvLSTM model achieved an overall sample-base cross-validation(CV)R^(2)of 0.955 with root mean square error(RMSE)of 9.372μg/m^(3).Model estimation also showed a city-based CV R^(2)of 0.896 with RMSE of 14.029μg/m^(3),the highest MDA8 O_(3)in spring being 122.60±31.60μg/m^(3)and the lowest in winter being 69.93±18.48μg/m^(3).展开更多
Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson’s disease(PD),a prevalent neurodegenerative disorder.The microbiota-gut-brain axis plays a crucial role...Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson’s disease(PD),a prevalent neurodegenerative disorder.The microbiota-gut-brain axis plays a crucial role in the development and progression of PD,and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota.This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms.The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD.While the relationship is not fully elucidated,existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development,and further investigation is warranted to explain the specific underlying mechanisms.展开更多
Acute lung injury(ALI)is a respiratory disease characterized by inflammation.Yinqiao powder(YQP)is a traditional Chinese medicinal compound,extensively used for its heat-clearing and detoxifying effects.It is usually ...Acute lung injury(ALI)is a respiratory disease characterized by inflammation.Yinqiao powder(YQP)is a traditional Chinese medicinal compound,extensively used for its heat-clearing and detoxifying effects.It is usually used clinically to treat respiratory diseases,such as pneumonia.However,the exact mechanism by which YQP treats ALI remains unclear.Here,we aimed to explore the therapeutic effects and potential mechanisms of action of YQP in ALI.Activation of the cGAS-STING pathway was modeled by multiple stimuli in bone marrow-derived macrophages(BMDMs),THP-1,and peripheral blood mononuclear cells(PBMCs).Changes in the content of associated proteins were detected by Western blot,while the mRNA levels of type I interferon-related genes and proinflammatory cytokines were detected by qPCR.A DMXAA-induced agonist model was used to verify the effect of YQP on the cGAS-STING pathway in vivo,whereas LPS-induced ALI was used to explore the therapeutic effect of YQP.YQP suppressed the activation of the cGAS-STING pathway in vitro.YQP showed promising therapeutic effects on DMXAA-induced activation of the cGAS-STING signaling pathway as well as the LPS-induced ALI model in mice.YQP alleviated ALI by inhibiting cGAS-STING pathway activation;meanwhile,YQP may be a new therapeutic approach for cGAS-STING-driven inflammatory diseases.展开更多
基金supported by the National Natural Science Foundation of China(No.41604028)the Anhui Provincial Naturel Science Foundation(No.1708085QD83)+1 种基金the Anhui Science and Technology Department Major Project(No.18030801111)the Projects of Innovation and Development of Anhui Meteorological Bureau(No.CXM202102).
文摘Recently,the global background concentration of ozone(O_(3))has demonstrated a rising trend.Among various methods,groun-basedmonitoring of O_(3)concentrations is highly reliable for research analysis.To obtain information on the spatial characteristics of O_(3)concentrations,it is necessary that the groundmonitoring sites be constructed in sufficient density.In recent years,many researchers have used machine learning models to estimate surface O_(3)concentrations,which cannot fully provide the spatial and temporal information contained in a sample dataset.To solve this problem,the current study utilized a deep learning model called the Residual connection Convolutional Long Short-Term Memory network(RConvLSTM)to estimate daily maximum8-hr average(MDA8)O_(3)over Jiangsu province,China during 2020.In this research,the R-ConvLSTM model not only provides the spatiotemporal information ofMDA8 O_(3),but also involves residual connection to avoid the problem of gradient explosion and gradient disappearance with the deepening of network layers.We utilized the TROPOMI total O_(3)column retrieved fromSentinel-5 Precursor,ERA5 reanalysismeteorological data,and other supplementary data to build a pre-trained dataset.The R-ConvLSTM model achieved an overall sample-base cross-validation(CV)R^(2)of 0.955 with root mean square error(RMSE)of 9.372μg/m^(3).Model estimation also showed a city-based CV R^(2)of 0.896 with RMSE of 14.029μg/m^(3),the highest MDA8 O_(3)in spring being 122.60±31.60μg/m^(3)and the lowest in winter being 69.93±18.48μg/m^(3).
基金National Natural Science Foundation of China(Nos.82071257 and 82371254)Beijing Municipal Bureau of Economy and Information Technology(No.JX2023YJ021)
文摘Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson’s disease(PD),a prevalent neurodegenerative disorder.The microbiota-gut-brain axis plays a crucial role in the development and progression of PD,and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota.This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms.The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD.While the relationship is not fully elucidated,existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development,and further investigation is warranted to explain the specific underlying mechanisms.
基金funded by the project of Cultivating and Improving the Service Ability of Traditional Chinese Medicine(No.2021ZY038)National Natural Science Foundation of China(No.82474095)General Hospital 3+1 Innovative Talent Construction Project.
文摘Acute lung injury(ALI)is a respiratory disease characterized by inflammation.Yinqiao powder(YQP)is a traditional Chinese medicinal compound,extensively used for its heat-clearing and detoxifying effects.It is usually used clinically to treat respiratory diseases,such as pneumonia.However,the exact mechanism by which YQP treats ALI remains unclear.Here,we aimed to explore the therapeutic effects and potential mechanisms of action of YQP in ALI.Activation of the cGAS-STING pathway was modeled by multiple stimuli in bone marrow-derived macrophages(BMDMs),THP-1,and peripheral blood mononuclear cells(PBMCs).Changes in the content of associated proteins were detected by Western blot,while the mRNA levels of type I interferon-related genes and proinflammatory cytokines were detected by qPCR.A DMXAA-induced agonist model was used to verify the effect of YQP on the cGAS-STING pathway in vivo,whereas LPS-induced ALI was used to explore the therapeutic effect of YQP.YQP suppressed the activation of the cGAS-STING pathway in vitro.YQP showed promising therapeutic effects on DMXAA-induced activation of the cGAS-STING signaling pathway as well as the LPS-induced ALI model in mice.YQP alleviated ALI by inhibiting cGAS-STING pathway activation;meanwhile,YQP may be a new therapeutic approach for cGAS-STING-driven inflammatory diseases.
