The lungs are the main fundamental part of the human respiratory system and are among the major organs of the human body.Lung disorders,including Coronavirus(Covid-19),are among the world’s deadliest and most life-th...The lungs are the main fundamental part of the human respiratory system and are among the major organs of the human body.Lung disorders,including Coronavirus(Covid-19),are among the world’s deadliest and most life-threatening diseases.Early and social distance-based detection and treatment can save lives as well as protect the rest of humanity.Even though X-rays or Computed Tomography(CT)scans are the imaging techniques to analyze lung-related disorders,medical practitioners still find it challenging to analyze and identify lung cancer from scanned images.unless COVID-19 reaches the lungs,it is unable to be diagnosed.through these modalities.So,the Internet of Medical Things(IoMT)and machine learning-based computer-assisted approaches have been developed and applied to automate these diagnostic procedures.This study also aims at investigating an automated approach for the detection of COVID-19 and lung disorders other than COVID-19 infection in a non-invasive manner at their early stages through the analysis of human breath.Human breath contains several volatile organic compounds,i.e.,water vapor(5.0%–6.3%),nitrogen(79%),oxygen(13.6%–16.0%),carbon dioxide(4.0%–5.3%),argon(1%),hydro-gen(1 ppm)(parts per million),carbon monoxide(1%),proteins(1%),isoprene(1%),acetone(1%),and ammonia(1%).Beyond these limits,the presence of a certain volatile organic compound(VOC)may indicate a disease.The proposed research not only aims to increase the accuracy of lung disorder detection from breath analysis but also to deploy the model in a real-time environment as a home appliance.Different sensors detect VOC;microcontrollers and machine learning models have been used to detect these lung disorders.Overall,the suggested methodology is accurate,efficient,and non-invasive.The proposed method obtained an accuracy of 93.59%,a sensitivity of 89.59%,a specificity of 94.87%,and an AUC-Value of 0.96.展开更多
Background Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD). Although alveolar hypoxia is considered as a main cause of PH in COPD, structural and functional cha...Background Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD). Although alveolar hypoxia is considered as a main cause of PH in COPD, structural and functional changes of pulmonary circulation are apparent at the initial stage of COPD. We hypothesized that an inflammatory response and oxidative stress might contribute to the formation of PH in COPD. Methods We measured the levels of interleukin-6 (IL-6) and 8-iso-prostaglandin (8-iso-PSG) in exhaled breath condensate (EBC) and serum in 40 patients with COPD only or in 45 patients with COPD combined with PH. Pulmonary arterial systolic pressure (PASP) was assessed by Doppler echocardiography and defined as PH when the value of systolic pressure was greater than 40 mmHg. Results Compared with the COPD only group, the level of IL-6 in EBC was significantly increased in all 45 patients with COPD combined with PH ((8.27±2.14) ng/L vs. (4.95±1.19) ng/L, P 〈0.01). The level of IL-6 in serum was also elevated in patients with COPD combined with PH compared with the COPD only group ((72.8±21.6) ng/L vs. (43.58±13.38) ng/L, P 〈0.01 ). Similarly, we also observed a significant increase in the level of 8-iso-PSG in both EBC and serum in the COPD with PH group, compared with the COPD only group (EBC: (9.00±2.49) ng/L vs. (5.96±2.31) ng/L, P 〈0.01 and serum: (41.87±9.75) ng/L vs. (27.79±11.09) ng/L, P 〈0.01). Additionally, the value of PASP in the PH group was confirmed to be positively correlated with the increase in the levels of IL-6 and 8-iso-PSG in both EBC and serum (r=0.477-0.589, P 〈0.05). Conclusion The increase in the levels of IL-6 and 8-iso-PSG in EBC and serum correlates with the pathogenesis of PH in COPD.展开更多
Background: Studies of interleukin (IL)-4 and IL-6 in the exhaled breath condensate (EBC) of asthmatic patients are limited. This study was to determine the effect of inhaled corticosteroid (ICS) treatment on I...Background: Studies of interleukin (IL)-4 and IL-6 in the exhaled breath condensate (EBC) of asthmatic patients are limited. This study was to determine the effect of inhaled corticosteroid (ICS) treatment on IL-4 and IL-6 in the EBC &asthmatic patients. Methods: In a prospective, open-label study, budesonide 200 μg twice daily by dry powder inhaler was administered to 23 adult patients with uncontrolled asthma (mean age 42.7 years) for 12 weeks. Changes in asthma scores, lung function parameters (forced expiratory volume in 1 s [FEV1], peak expiratory flow [PEF], forced expiratory flow at 50% of forced vital capacity [FEFs0], forced expiratory flow at 75% of forced vital capacity, maximum mid-expiratory flow rate) and the concentrations of IL-4 and IL-6 in EBC were measured. Results: Both asthma scores and lung function parameters were significantly improved by ICS treatment. The mean IL-4 concentration in the EBC was decreased gradually, from 1.92 ± 0.56 pmol/L before treatment to 1.60 ± 0.36 pmolJL after 8 weeks of treatment (P 〈 0.05) and 1.54 ± 0.81 pmol/L after 12 weeks of treatment (P 〈 0.01). However, the IL-6 concentration was not significantly decreased. The change in the IL-4 concentration was correlated with improvements in mean FEVt, PEF and FEFso values (correlation coefficients -0.468, -0.478, and -0.426, respectively). Conclusions: The concentration of IL-4 in the EBC of asthmatic patients decreased gradually with ICS treatment. Measurement of IL-4 in EBC could be useful to monitor airway inflammation in asthmatics.展开更多
We present a portable non-invasive approach for measuring indicators of inflammation and oxidative stress in the respiratory tract by quantifying a biomarker in exhaled breath condensate(EBC).We discuss the fabricatio...We present a portable non-invasive approach for measuring indicators of inflammation and oxidative stress in the respiratory tract by quantifying a biomarker in exhaled breath condensate(EBC).We discuss the fabrication and characterization of a miniaturized electrochemical sensor for detecting nitrite content in EBC using reduced graphene oxide.The nitrite content in EBC has been demonstrated to be a promising biomarker of inflammation in the respiratory tract,particularly in asthma.We utilized the unique properties of reduced graphene oxide(rGO);specifically,the material is resilient to corrosion while exhibiting rapid electron transfer with electrolytes,thus allowing for highly sensitive electrochemical detection with minimal fouling.Our rGO sensor was housed in an electrochemical cell fabricated from polydimethyl siloxane(PDMS),which was necessary to analyze small EBC sample volumes.The sensor is capable of detecting nitrite at a low over-potential of 0.7 V with respect to an Ag/AgCl reference electrode.We characterized the performance of the sensors using standard nitrite/buffer solutions,nitrite spiked into EBC,and clinical EBC samples.The sensor demonstrated a sensitivity of 0.21μAμM^(−1) cm^(−2) in the range of 20–100μM and of 0.1μAμM^(−1) cm^(−2) in the range of 100–1000μM nitrite concentration and exhibited a low detection limit of 830 nM in the EBC matrix.To benchmark our platform,we tested our sensors using seven pre-characterized clinical EBC samples with concentrations ranging between 0.14 and 6.5μM.This enzyme-free and label-free method of detecting biomarkers in EBC can pave the way for the development of portable breath analyzers for diagnosing and managing changes in respiratory inflammation and disease.展开更多
The urgency of early lung cancer(LC)diagnosis and treatment has been more and more significant.Exhaled breath analysis using gas sensors is a promising way to find out if someone has LC due to its low-cost,non-invasiv...The urgency of early lung cancer(LC)diagnosis and treatment has been more and more significant.Exhaled breath analysis using gas sensors is a promising way to find out if someone has LC due to its low-cost,non-invasive,and real-time monitoring compared with traditional invasive diagnostic techniques.Among sensor-based gas detection techniques,metal oxide semiconductor’s gas sensors are one of the most important types.This review presents the-state-of-art in metal oxide gas sensors for the diagnosis of early LC.First,the exhaled breath biomarkers are described with emphasis on the concentration of abnormal volatile organic compounds(VOCs)caused by the metabolic process of LC cells.Then,the research status of metal oxide gas sensors in LC diagnosis is summarized.The sensing performance and enhancement strategy of biomarkers provided by metal oxide semiconductor materials are reviewed.Another effective way to improve VOC detection performance is to build a gas sensor array.At the same time,various gas sensors combined with self-powered techniques are mentioned to display a broad development prospect in breath diagnosis.Finally,metal oxide gas sensor-based LC diagnosis is prospected.展开更多
Background: The effects of near-road pollution on lung function in China have not been well studied. We aimed to investigate the effects of long-term exposure to traffic-related air pollution on lung function, airway...Background: The effects of near-road pollution on lung function in China have not been well studied. We aimed to investigate the effects of long-term exposure to traffic-related air pollution on lung function, airway inflammation, and respiratory symptoms. Methods: We enrolled 1003 residents aged 57.96 ± 8.99 years living in the Shichahai Community in Beijing. Distances between home addresses and the nearest major roads were measured to calculate home-road distance. We used the distance categories 1, 2, and 3, representing 〈100 m, 100-200 m, and 〉200 m, respectively, as the dose indicator for traffic-related air pollution exposure. Lung function, exhaled breath condensate (EBC) pH, and interleukin 6 levels were measured. As a follow-up, 398 participants had a second lung function assessment about 3 years later, and lung function decline was also examined as an outcome. We used regression analysis to assess the impacts of home-road distance on lung function and respiratory symptoms. As the EBC biomarker data were not normally distributed, we performed correlation analysis between home-road distance categories and EBC biomarkers. Results: Participants living a shorter distance from major roads had lower percentage of predicted value of forced expiratory volume in 1 s (FEV1% -1.54, 95% confidence interval [CI]: -0.20 to -2.89). The odds ratio for chronic cough was 2.54 (95% CI: 1.57-4.10) for category 1 and 1.97 (95% CI: 1.16-3.37) for category 2, compared with category 3. EBC pH was positively correlated with road distance (rank correlation coefficient of Spearman [rs] = 0.176, P 〈 0.001 ). Conclusions: Long-term exposure to traffic-related air pollution in people who live near major roads in Beijing is associated with lower lung function, airway acidification, and a higher prevalence of chronic cough. EBC pH is a potential useful biomarker for evaluating air pollution exposure.展开更多
Aerosol transmission has been officially recognized by the world health authority resulting from its overwhelming experimental and epidemiological evidences.Despite substantial progress,few additional actions were tak...Aerosol transmission has been officially recognized by the world health authority resulting from its overwhelming experimental and epidemiological evidences.Despite substantial progress,few additional actions were taken to prevent aerosol transmission,and many key scientific questions still await urgent investigations.The grand challenge,the effective control of aerosol transmission of COVID-19,remains unsolved.A better understanding of the viral shedding into the air has been developed,but its temporal pattern is largely unknown.Sampling tools,as one of the critical elements for studying SARS-CoV-2 aerosol,are not readily available around the world.Many of them are less capable of preserving the viability of SARS-CoV-2,thus offering no clues about viral aerosol infectivity.As evidenced,the viability of SARS-CoV-2 is also directly impacted by temperature,humidity,sunlight,and air pollutants.For SARS-CoV-2 aerosol detection,liquid samplers,together with real-time polymerase chain reaction(RT-PCR),are currently used in certain enclosed or semi-enclosed environments.Sensitive and rapid COVID-19 screening technologies are in great need.Among others,the breath-borne-based method emerges with global attention due to its advantages in sample collection and early disease detection.To collectively confront these challenges,scientists from different fields around the world need to fight together for the welfare of mankind.This review summarized the current understanding of the aerosol transmission of SARS-CoV-2 and identified the key knowledge gaps with a to-do list.This review also serves as a call for efforts to develop technologies to better protect the people in a forthcoming reopening world.展开更多
文摘The lungs are the main fundamental part of the human respiratory system and are among the major organs of the human body.Lung disorders,including Coronavirus(Covid-19),are among the world’s deadliest and most life-threatening diseases.Early and social distance-based detection and treatment can save lives as well as protect the rest of humanity.Even though X-rays or Computed Tomography(CT)scans are the imaging techniques to analyze lung-related disorders,medical practitioners still find it challenging to analyze and identify lung cancer from scanned images.unless COVID-19 reaches the lungs,it is unable to be diagnosed.through these modalities.So,the Internet of Medical Things(IoMT)and machine learning-based computer-assisted approaches have been developed and applied to automate these diagnostic procedures.This study also aims at investigating an automated approach for the detection of COVID-19 and lung disorders other than COVID-19 infection in a non-invasive manner at their early stages through the analysis of human breath.Human breath contains several volatile organic compounds,i.e.,water vapor(5.0%–6.3%),nitrogen(79%),oxygen(13.6%–16.0%),carbon dioxide(4.0%–5.3%),argon(1%),hydro-gen(1 ppm)(parts per million),carbon monoxide(1%),proteins(1%),isoprene(1%),acetone(1%),and ammonia(1%).Beyond these limits,the presence of a certain volatile organic compound(VOC)may indicate a disease.The proposed research not only aims to increase the accuracy of lung disorder detection from breath analysis but also to deploy the model in a real-time environment as a home appliance.Different sensors detect VOC;microcontrollers and machine learning models have been used to detect these lung disorders.Overall,the suggested methodology is accurate,efficient,and non-invasive.The proposed method obtained an accuracy of 93.59%,a sensitivity of 89.59%,a specificity of 94.87%,and an AUC-Value of 0.96.
文摘Background Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD). Although alveolar hypoxia is considered as a main cause of PH in COPD, structural and functional changes of pulmonary circulation are apparent at the initial stage of COPD. We hypothesized that an inflammatory response and oxidative stress might contribute to the formation of PH in COPD. Methods We measured the levels of interleukin-6 (IL-6) and 8-iso-prostaglandin (8-iso-PSG) in exhaled breath condensate (EBC) and serum in 40 patients with COPD only or in 45 patients with COPD combined with PH. Pulmonary arterial systolic pressure (PASP) was assessed by Doppler echocardiography and defined as PH when the value of systolic pressure was greater than 40 mmHg. Results Compared with the COPD only group, the level of IL-6 in EBC was significantly increased in all 45 patients with COPD combined with PH ((8.27±2.14) ng/L vs. (4.95±1.19) ng/L, P 〈0.01). The level of IL-6 in serum was also elevated in patients with COPD combined with PH compared with the COPD only group ((72.8±21.6) ng/L vs. (43.58±13.38) ng/L, P 〈0.01 ). Similarly, we also observed a significant increase in the level of 8-iso-PSG in both EBC and serum in the COPD with PH group, compared with the COPD only group (EBC: (9.00±2.49) ng/L vs. (5.96±2.31) ng/L, P 〈0.01 and serum: (41.87±9.75) ng/L vs. (27.79±11.09) ng/L, P 〈0.01). Additionally, the value of PASP in the PH group was confirmed to be positively correlated with the increase in the levels of IL-6 and 8-iso-PSG in both EBC and serum (r=0.477-0.589, P 〈0.05). Conclusion The increase in the levels of IL-6 and 8-iso-PSG in EBC and serum correlates with the pathogenesis of PH in COPD.
文摘Background: Studies of interleukin (IL)-4 and IL-6 in the exhaled breath condensate (EBC) of asthmatic patients are limited. This study was to determine the effect of inhaled corticosteroid (ICS) treatment on IL-4 and IL-6 in the EBC &asthmatic patients. Methods: In a prospective, open-label study, budesonide 200 μg twice daily by dry powder inhaler was administered to 23 adult patients with uncontrolled asthma (mean age 42.7 years) for 12 weeks. Changes in asthma scores, lung function parameters (forced expiratory volume in 1 s [FEV1], peak expiratory flow [PEF], forced expiratory flow at 50% of forced vital capacity [FEFs0], forced expiratory flow at 75% of forced vital capacity, maximum mid-expiratory flow rate) and the concentrations of IL-4 and IL-6 in EBC were measured. Results: Both asthma scores and lung function parameters were significantly improved by ICS treatment. The mean IL-4 concentration in the EBC was decreased gradually, from 1.92 ± 0.56 pmol/L before treatment to 1.60 ± 0.36 pmolJL after 8 weeks of treatment (P 〈 0.05) and 1.54 ± 0.81 pmol/L after 12 weeks of treatment (P 〈 0.01). However, the IL-6 concentration was not significantly decreased. The change in the IL-4 concentration was correlated with improvements in mean FEVt, PEF and FEFso values (correlation coefficients -0.468, -0.478, and -0.426, respectively). Conclusions: The concentration of IL-4 in the EBC of asthmatic patients decreased gradually with ICS treatment. Measurement of IL-4 in EBC could be useful to monitor airway inflammation in asthmatics.
基金This work was partially funded by the National Institutes of Health NIEHS Center Grant ES005022 and by the Rutgers University Electrical and Computer Engineering Department.
文摘We present a portable non-invasive approach for measuring indicators of inflammation and oxidative stress in the respiratory tract by quantifying a biomarker in exhaled breath condensate(EBC).We discuss the fabrication and characterization of a miniaturized electrochemical sensor for detecting nitrite content in EBC using reduced graphene oxide.The nitrite content in EBC has been demonstrated to be a promising biomarker of inflammation in the respiratory tract,particularly in asthma.We utilized the unique properties of reduced graphene oxide(rGO);specifically,the material is resilient to corrosion while exhibiting rapid electron transfer with electrolytes,thus allowing for highly sensitive electrochemical detection with minimal fouling.Our rGO sensor was housed in an electrochemical cell fabricated from polydimethyl siloxane(PDMS),which was necessary to analyze small EBC sample volumes.The sensor is capable of detecting nitrite at a low over-potential of 0.7 V with respect to an Ag/AgCl reference electrode.We characterized the performance of the sensors using standard nitrite/buffer solutions,nitrite spiked into EBC,and clinical EBC samples.The sensor demonstrated a sensitivity of 0.21μAμM^(−1) cm^(−2) in the range of 20–100μM and of 0.1μAμM^(−1) cm^(−2) in the range of 100–1000μM nitrite concentration and exhibited a low detection limit of 830 nM in the EBC matrix.To benchmark our platform,we tested our sensors using seven pre-characterized clinical EBC samples with concentrations ranging between 0.14 and 6.5μM.This enzyme-free and label-free method of detecting biomarkers in EBC can pave the way for the development of portable breath analyzers for diagnosing and managing changes in respiratory inflammation and disease.
基金supported by the Outstanding Youth Foundation of Jiangsu Province of China under Grant No.BK20211548the National Natural Science Foundation of China under Grant No.51872254+1 种基金the Yangzhou City-Yangzhou University Cooperation Foundation under Grant No.YZ2021153the Walloon Region of Belgium through the Interreg V France-Wallonie-Vlaanderen program under PATHACOV project (Grant No.1.1.297).
文摘The urgency of early lung cancer(LC)diagnosis and treatment has been more and more significant.Exhaled breath analysis using gas sensors is a promising way to find out if someone has LC due to its low-cost,non-invasive,and real-time monitoring compared with traditional invasive diagnostic techniques.Among sensor-based gas detection techniques,metal oxide semiconductor’s gas sensors are one of the most important types.This review presents the-state-of-art in metal oxide gas sensors for the diagnosis of early LC.First,the exhaled breath biomarkers are described with emphasis on the concentration of abnormal volatile organic compounds(VOCs)caused by the metabolic process of LC cells.Then,the research status of metal oxide gas sensors in LC diagnosis is summarized.The sensing performance and enhancement strategy of biomarkers provided by metal oxide semiconductor materials are reviewed.Another effective way to improve VOC detection performance is to build a gas sensor array.At the same time,various gas sensors combined with self-powered techniques are mentioned to display a broad development prospect in breath diagnosis.Finally,metal oxide gas sensor-based LC diagnosis is prospected.
文摘Background: The effects of near-road pollution on lung function in China have not been well studied. We aimed to investigate the effects of long-term exposure to traffic-related air pollution on lung function, airway inflammation, and respiratory symptoms. Methods: We enrolled 1003 residents aged 57.96 ± 8.99 years living in the Shichahai Community in Beijing. Distances between home addresses and the nearest major roads were measured to calculate home-road distance. We used the distance categories 1, 2, and 3, representing 〈100 m, 100-200 m, and 〉200 m, respectively, as the dose indicator for traffic-related air pollution exposure. Lung function, exhaled breath condensate (EBC) pH, and interleukin 6 levels were measured. As a follow-up, 398 participants had a second lung function assessment about 3 years later, and lung function decline was also examined as an outcome. We used regression analysis to assess the impacts of home-road distance on lung function and respiratory symptoms. As the EBC biomarker data were not normally distributed, we performed correlation analysis between home-road distance categories and EBC biomarkers. Results: Participants living a shorter distance from major roads had lower percentage of predicted value of forced expiratory volume in 1 s (FEV1% -1.54, 95% confidence interval [CI]: -0.20 to -2.89). The odds ratio for chronic cough was 2.54 (95% CI: 1.57-4.10) for category 1 and 1.97 (95% CI: 1.16-3.37) for category 2, compared with category 3. EBC pH was positively correlated with road distance (rank correlation coefficient of Spearman [rs] = 0.176, P 〈 0.001 ). Conclusions: Long-term exposure to traffic-related air pollution in people who live near major roads in Beijing is associated with lower lung function, airway acidification, and a higher prevalence of chronic cough. EBC pH is a potential useful biomarker for evaluating air pollution exposure.
基金supported by the National Natural Science Foundation of China(NSFC)Distinguished Young Scholars Fund Awarded to M.Yao(21725701)NSFC grants(22040101,92043302)by a grant(EKPG21-02)from Guangzhou Laboratory.
文摘Aerosol transmission has been officially recognized by the world health authority resulting from its overwhelming experimental and epidemiological evidences.Despite substantial progress,few additional actions were taken to prevent aerosol transmission,and many key scientific questions still await urgent investigations.The grand challenge,the effective control of aerosol transmission of COVID-19,remains unsolved.A better understanding of the viral shedding into the air has been developed,but its temporal pattern is largely unknown.Sampling tools,as one of the critical elements for studying SARS-CoV-2 aerosol,are not readily available around the world.Many of them are less capable of preserving the viability of SARS-CoV-2,thus offering no clues about viral aerosol infectivity.As evidenced,the viability of SARS-CoV-2 is also directly impacted by temperature,humidity,sunlight,and air pollutants.For SARS-CoV-2 aerosol detection,liquid samplers,together with real-time polymerase chain reaction(RT-PCR),are currently used in certain enclosed or semi-enclosed environments.Sensitive and rapid COVID-19 screening technologies are in great need.Among others,the breath-borne-based method emerges with global attention due to its advantages in sample collection and early disease detection.To collectively confront these challenges,scientists from different fields around the world need to fight together for the welfare of mankind.This review summarized the current understanding of the aerosol transmission of SARS-CoV-2 and identified the key knowledge gaps with a to-do list.This review also serves as a call for efforts to develop technologies to better protect the people in a forthcoming reopening world.