An abrupt decline in respiratory function often presents in patients unable to undergo imaging procedures,especially in critical care settings.Consequently,evaluation using transthoracic lung ultrasonography has been ...An abrupt decline in respiratory function often presents in patients unable to undergo imaging procedures,especially in critical care settings.Consequently,evaluation using transthoracic lung ultrasonography has been developed to promptly diagnose the patient's respiratory conditions at bedside,gaining increasing attention for its utility.However,conventional transthoracic ultrasonography may face challenges in directly accessing the thorax.展开更多
BACKGROUND:Prolonged invasive respiratory support and extracorporeal membrane oxygenation(ECMO)in patients requiring urgent lung transplantation(ULTx)present signifi cant challenges to clinical practice due to severe ...BACKGROUND:Prolonged invasive respiratory support and extracorporeal membrane oxygenation(ECMO)in patients requiring urgent lung transplantation(ULTx)present signifi cant challenges to clinical practice due to severe underlying diseases and complex conditions.The aim of the study was to report the clinical outcomes of patients who received ULTx and followed the perioperative rehabilitation protocol implemented in a lung transplant center.METHODS:A retrospective analysis was conducted in ULTx patients who required preoperative invasive mechanical ventilation(IMV)and ECMO between January 2018 and January 2023.Data were retrieved from electronic medical records at our lung transplant center.RESULTS:Fourteen patients(mean age 57.43±10.97 years;12 males,2 females)underwent ULTx with bridging ECMO and IMV.The mean body mass index was 23.94±3.33 kg/m²,and the mean Acute Physiology and Chronic Health Evaluation(APACHE)II score was 21.50±3.96.The Nutritional Risk Screening 2002(NRS 2002)scores were≥3.ULTx was performed after an 8.5-day waiting period(interquartile interval[IQR]5.0-26.5 d).Following the surgeries,the average lengths of ECMO and IMV were 1.0(IQR 1.0-2.0)d and 5.0(IQR 3.0-7.3)d,respectively.The total length of hospital stay was 60.1±30.8 d,with an average intensive care unit stay of 38.3±22.9 d and post-operative hospitalization stay of 45.8±26.1 d.Two patients died within 30 d after ULTx,with a 30-day survival rate of 85.71%.CONCLUSION:Patients receiving ULTx showed an acceptable short-term survival rate,validating the practicality and safety of the treatment protocols implemented in our center.展开更多
Auscultation is crucial for the diagnosis of respiratory system diseases.However,traditional stethoscopes have inherent limitations,such as inter-listener variability and subjectivity,and they cannot record respirator...Auscultation is crucial for the diagnosis of respiratory system diseases.However,traditional stethoscopes have inherent limitations,such as inter-listener variability and subjectivity,and they cannot record respiratory sounds for offline/retrospective diagnosis or remote prescriptions in telemedicine.The emergence of digital stethoscopes has overcome these limitations by allowing physicians to store and share respiratory sounds for consultation and education.On this basis,machine learning,particularly deep learning,enables the fully-automatic analysis of lung sounds that may pave the way for intelligent stethoscopes.This review thus aims to provide a comprehensive overview of deep learning algorithms used for lung sound analysis to emphasize the significance of artificial intelligence(AI)in this field.We focus on each component of deep learning-based lung sound analysis systems,including the task categories,public datasets,denoising methods,and,most importantly,existing deep learning methods,i.e.,the state-of-the-art approaches to convert lung sounds into two-dimensional(2D)spectrograms and use convolutional neural networks for the end-to-end recognition of respiratory diseases or abnormal lung sounds.Additionally,this review highlights current challenges in this field,including the variety of devices,noise sensitivity,and poor interpretability of deep models.To address the poor reproducibility and variety of deep learning in this field,this review also provides a scalable and flexible open-source framework that aims to standardize the algorithmic workflow and provide a solid basis for replication and future extension:https://github.com/contactless-healthcare/Deep-Learning-for-Lung-Sound-Analysis.展开更多
Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one ...Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one of the most prominent mechanisms explaining the effects of exercise on cancer[1,2].Physical exercise primarily lowers blood cholesterol and triglycerides,and protects against cardiovascular diseases[3].However,whether physical exercise can modulate cholesterol metabolism in tumor cells is currently unknown.展开更多
In the face of increasingly serious environmental pollution,the health of human lung tissues is also facing serious threats.Mogroside IIE(M2E)is the main metabolite of sweetening agents mogrosides from the anti-tussiv...In the face of increasingly serious environmental pollution,the health of human lung tissues is also facing serious threats.Mogroside IIE(M2E)is the main metabolite of sweetening agents mogrosides from the anti-tussive Chinese herbal Siraitia grosvenori.The study elucidated the anti-inflammatory action and molecular mechanism of M2E against acute lung injury(ALI).A lipopolysaccharide(LPS)-induced ALI model was established in mice and MH-S cells were employed to explore the protective mechanism of M2E through the western blotting,co-immunoprecipitation,and quantitative real time-PCR analysis.The results indicated that M2E alleviated LPS-induced lung injury through restraining the activation of secreted phospholipase A2 type IIA(Pla2g2a)-epidermal growth factor receptor(EGFR).The interaction of Pla2g2a and EGFR was identified by co-immunoprecipitation.In addition,M2E protected ALI induced with LPS against inflammatory and damage which were significantly dependent upon the downregulation of AKT and m TOR via the inhibition of Pla2g2a-EGFR.Pla2g2a may represent a potential target for M2E in the improvement of LPS-induced lung injury,which may represent a promising strategy to treat ALI.展开更多
Cooking fumes （CFs） are mixtures of many toxic components, such as aldehydes, heterocyclic amines, polycyclic aromatic hydrocarbons, fat aerosols and particulate matters. CFs exposure has been proven to be associate...Cooking fumes （CFs） are mixtures of many toxic components, such as aldehydes, heterocyclic amines, polycyclic aromatic hydrocarbons, fat aerosols and particulate matters. CFs exposure has been proven to be associated with many diseases. Lung cancer takes the leading place among the diseases being reported caused by CFs exposure. Molecular and biochemical studies have found that CFs exposure may lead to lung cancer by gene damage, formation of reactive oxygen species, blockage of related proteins’ function, and even cell death. However, reviews about the mechanisms of how CFs exposure leads to lung cancer are still lacking. Elucidation of the mechanisms of lung cancer caused by CFs exposure may provide a new insight into the prevention of lung cancer caused by CFs exposure, as well as laying the foundation for the toxicity study of CFs. In this minor review, the mechanisms of how CFs exposure leads to lung cancer were summarized and discussed.展开更多
文摘An abrupt decline in respiratory function often presents in patients unable to undergo imaging procedures,especially in critical care settings.Consequently,evaluation using transthoracic lung ultrasonography has been developed to promptly diagnose the patient's respiratory conditions at bedside,gaining increasing attention for its utility.However,conventional transthoracic ultrasonography may face challenges in directly accessing the thorax.
文摘BACKGROUND:Prolonged invasive respiratory support and extracorporeal membrane oxygenation(ECMO)in patients requiring urgent lung transplantation(ULTx)present signifi cant challenges to clinical practice due to severe underlying diseases and complex conditions.The aim of the study was to report the clinical outcomes of patients who received ULTx and followed the perioperative rehabilitation protocol implemented in a lung transplant center.METHODS:A retrospective analysis was conducted in ULTx patients who required preoperative invasive mechanical ventilation(IMV)and ECMO between January 2018 and January 2023.Data were retrieved from electronic medical records at our lung transplant center.RESULTS:Fourteen patients(mean age 57.43±10.97 years;12 males,2 females)underwent ULTx with bridging ECMO and IMV.The mean body mass index was 23.94±3.33 kg/m²,and the mean Acute Physiology and Chronic Health Evaluation(APACHE)II score was 21.50±3.96.The Nutritional Risk Screening 2002(NRS 2002)scores were≥3.ULTx was performed after an 8.5-day waiting period(interquartile interval[IQR]5.0-26.5 d).Following the surgeries,the average lengths of ECMO and IMV were 1.0(IQR 1.0-2.0)d and 5.0(IQR 3.0-7.3)d,respectively.The total length of hospital stay was 60.1±30.8 d,with an average intensive care unit stay of 38.3±22.9 d and post-operative hospitalization stay of 45.8±26.1 d.Two patients died within 30 d after ULTx,with a 30-day survival rate of 85.71%.CONCLUSION:Patients receiving ULTx showed an acceptable short-term survival rate,validating the practicality and safety of the treatment protocols implemented in our center.
基金This work is supported by the National Key Research and Development Program of China(2022YFC2407800)the General Program of National Natural Science Foundation of China(62271241)+1 种基金the Guangdong Basic and Applied Basic Research Foundation(2023A1515012983)the Shenzhen Fundamental Research Program(JCYJ20220530112601003).
文摘Auscultation is crucial for the diagnosis of respiratory system diseases.However,traditional stethoscopes have inherent limitations,such as inter-listener variability and subjectivity,and they cannot record respiratory sounds for offline/retrospective diagnosis or remote prescriptions in telemedicine.The emergence of digital stethoscopes has overcome these limitations by allowing physicians to store and share respiratory sounds for consultation and education.On this basis,machine learning,particularly deep learning,enables the fully-automatic analysis of lung sounds that may pave the way for intelligent stethoscopes.This review thus aims to provide a comprehensive overview of deep learning algorithms used for lung sound analysis to emphasize the significance of artificial intelligence(AI)in this field.We focus on each component of deep learning-based lung sound analysis systems,including the task categories,public datasets,denoising methods,and,most importantly,existing deep learning methods,i.e.,the state-of-the-art approaches to convert lung sounds into two-dimensional(2D)spectrograms and use convolutional neural networks for the end-to-end recognition of respiratory diseases or abnormal lung sounds.Additionally,this review highlights current challenges in this field,including the variety of devices,noise sensitivity,and poor interpretability of deep models.To address the poor reproducibility and variety of deep learning in this field,this review also provides a scalable and flexible open-source framework that aims to standardize the algorithmic workflow and provide a solid basis for replication and future extension:https://github.com/contactless-healthcare/Deep-Learning-for-Lung-Sound-Analysis.
基金This work was supported by the National Natural Science Foundation of China(82172511)the Natural Science Foundation of Jiangsu Province(BK20210068)+4 种基金the Sanming Project of Medicine in Shenzhen(SZSM201612078)the Health Shanghai Initiative Special Fund[Medical-Sports Integration(JKSHZX-2022-02)]the Top Talent Support Program for Young-and Middle-aged People of Wuxi Municipal Health Commission(HB2020003)the Mega-project of Wuxi Commission of Health(Z202216)the High-end Medical Expert Team of the 2019 Taihu Talent Plan(2019-THRCTD-1)
文摘Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one of the most prominent mechanisms explaining the effects of exercise on cancer[1,2].Physical exercise primarily lowers blood cholesterol and triglycerides,and protects against cardiovascular diseases[3].However,whether physical exercise can modulate cholesterol metabolism in tumor cells is currently unknown.
基金the National Natural Science Foundation(81773982,82003937)Youth Academic leaders of the Qinglan Project in Jiangsu province for financial support。
文摘In the face of increasingly serious environmental pollution,the health of human lung tissues is also facing serious threats.Mogroside IIE(M2E)is the main metabolite of sweetening agents mogrosides from the anti-tussive Chinese herbal Siraitia grosvenori.The study elucidated the anti-inflammatory action and molecular mechanism of M2E against acute lung injury(ALI).A lipopolysaccharide(LPS)-induced ALI model was established in mice and MH-S cells were employed to explore the protective mechanism of M2E through the western blotting,co-immunoprecipitation,and quantitative real time-PCR analysis.The results indicated that M2E alleviated LPS-induced lung injury through restraining the activation of secreted phospholipase A2 type IIA(Pla2g2a)-epidermal growth factor receptor(EGFR).The interaction of Pla2g2a and EGFR was identified by co-immunoprecipitation.In addition,M2E protected ALI induced with LPS against inflammatory and damage which were significantly dependent upon the downregulation of AKT and m TOR via the inhibition of Pla2g2a-EGFR.Pla2g2a may represent a potential target for M2E in the improvement of LPS-induced lung injury,which may represent a promising strategy to treat ALI.
基金Supported by the Development Project of Community Health Nursing Innovative Practice Model of China(CMB08883)
文摘Cooking fumes （CFs） are mixtures of many toxic components, such as aldehydes, heterocyclic amines, polycyclic aromatic hydrocarbons, fat aerosols and particulate matters. CFs exposure has been proven to be associated with many diseases. Lung cancer takes the leading place among the diseases being reported caused by CFs exposure. Molecular and biochemical studies have found that CFs exposure may lead to lung cancer by gene damage, formation of reactive oxygen species, blockage of related proteins’ function, and even cell death. However, reviews about the mechanisms of how CFs exposure leads to lung cancer are still lacking. Elucidation of the mechanisms of lung cancer caused by CFs exposure may provide a new insight into the prevention of lung cancer caused by CFs exposure, as well as laying the foundation for the toxicity study of CFs. In this minor review, the mechanisms of how CFs exposure leads to lung cancer were summarized and discussed.
