Jiangyue Qin’s research while affiliated with Sichuan University and other places

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Publications (28)


Selection of participants from NHANES 2015–2020.
Potential mechanisms over how sleep disorders affect the pathogenesis of kidney stones, created by Figdraw.
Relationship Between Symptoms of OSA and Kidney Stones
Continued).
Subgroup Analysis of Relationship Between Snorting/Stopping Breathing and Kidney Stone

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Self-Reported Symptoms of Obstructive Sleep Apnea are Associated with Increased Risk of Kidney Stones: A Cross-Sectional Study from NHANES 2015-2020
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December 2024

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12 Reads

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1 Citation

Dongru Du

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Jianjun Luo

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Weiling Cai

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Objective To investigate whether self-reported symptoms of obstructive sleep apnea (OSA), including snoring, snorting/stopping breathing, and sleepiness, are associated with increased risk of kidney stones. Methods This cross-sectional study was conducted based on the 2015–2020 National Health and Nutrition Examination Survey (NHANES). Self-reported symptoms of OSA and history of kidney stones were diagnosed via questionnaires. Multivariable logistic regression was used to determine the associations between self-reported symptoms of OSA and kidney stones. Subgroup analyses and interaction tests were performed to address this issue further. Results A total of 9,973 participants were enrolled, and the prevalence of kidney stones was 10.76%. Although no significant association was observed between frequent snoring and kidney stones after covariate adjustments (OR 1.033, 95% CI 0.726, 1.469 p = 0.850), frequent snorting/stopping breathing was associated with a greater risk of kidney stones after covariate adjustments (OR 1.655, 95% CI 1.262, 2.172, p = 0.002). Participants who often or almost always felt sleepy also had a greater risk of kidney stones after covariate adjustment (OR 1.651, 95% CI 1.222, 2.229; p = 0.004). The interaction tests suggested that marital status (p = 0.015) and smoking status (p < 0.001) significantly interacted with the association between snorting/stopping breathing and kidney stones. Conclusion Self-reported frequent snorting/stopping breathing and sleepiness may be associated with increased risk of kidney stones. Although these findings may emphasize prevention of kidney stones in these people, further research was still needed to verify our results.

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The Mitochondrial Fusion Promoter M1 Mitigates Cigarette Smoke-Induced Airway Inflammation and Oxidative Stress via the PI3K-AKT Signaling Pathway

December 2024

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16 Reads

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1 Citation

Lung

Purpose This study investigated the efficacy and underlying mechanism of the mitochondrial fusion promoter M1 in mitigating cigarette smoking (CS)-induced airway inflammation and oxidative stress both in vitro and in vivo models. Methods Cigarette smoke extract (CSE)-treated airway epithelial cells (BEAS-2B) and CS-exposed mice were pretreated with M1, followed by the measurement of proinflammatory cytokines, oxidative stress, mitochondrial fusion proteins (MFN2 and OPA1) and fission proteins (DRP1 and MFF). Molecular pathways were elucidated through transcriptomic analysis and Western blotting. Results M1 pretreatment in CSE-treated cells significantly reduced the release of inflammatory cytokines (interleukin (IL)-6, IL-8 and tumor necrosis factor (TNF)–α); reduced malondialdehyde (MDA) and reactive oxygen species (ROS) levels; increased superoxide dismutase (SOD) activity; protected mitochondrial function by increasing the expression of mitochondrial fusion proteins (MFN2 and OPA1) and decreasing the expression of mitochondrial fission proteins (DRP1 and MFF). M1 attenuated CS-induced lung histologic damage and mucus hypersecretion in mice, relieved high oxidative stress and reduced the release of IL-6 and IL-8 in BALF. Similarly, it also protected mitochondrial function by regulating the CS-induced imbalance of mitochondrial dynamic proteins. Transcriptome sequencing and Western blotting showed that M1 inhibited CSE- or CS-induced activation of the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (PKB/AKT) signaling pathway. Conclusion M1 plays a protective role in inflammation, oxidative stress and mitochondrial dynamics dysfunction caused by CS by inhibiting the PI3K-AKT signaling pathway; thus, it has therapeutic potential for the treatment of CS-induced airway disorders.



Machine learning-derived peripheral blood transcriptomic biomarkers for early lung cancer diagnosis: Unveiling tumor-immune interaction mechanisms

October 2024

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5 Reads

BioFactors

Lung cancer continues to be the leading cause of cancer‐related mortality worldwide. Early detection and a comprehensive understanding of tumor‐immune interactions are crucial for improving patient outcomes. This study aimed to develop a novel biomarker panel utilizing peripheral blood transcriptomics and machine learning algorithms for early lung cancer diagnosis, while simultaneously providing insights into tumor‐immune crosstalk mechanisms. Leveraging a training cohort (GSE135304), we employed multiple machine learning algorithms to formulate a Lung Cancer Diagnostic Score (LCDS) based on peripheral blood transcriptomic features. The LCDS model's performance was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) in multiple validation cohorts (GSE42834, GSE157086, and an in‐house dataset). Peripheral blood samples were obtained from 20 lung cancer patients and 10 healthy control subjects, representing an in‐house cohort recruited at the Sixth People's Hospital of Chengdu. We employed advanced bioinformatics techniques to explore tumor‐immune interactions through comprehensive immune infiltration and pathway enrichment analyses. Initial screening identified 844 differentially expressed genes, which were subsequently refined to 87 genes using the Boruta feature selection algorithm. The random forest (RF) algorithm demonstrated the highest accuracy in constructing the LCDS model, yielding a mean AUC of 0.938. Lower LCDS values were significantly associated with elevated immune scores and increased CD4+ and CD8+ T‐cell infiltration, indicative of enhanced antitumor‐immune responses. Higher LCDS scores correlated with activation of hypoxia, peroxisome proliferator‐activated receptor (PPAR), and Toll‐like receptor (TLR) signaling pathways, as well as reduced DNA damage repair pathway scores. Our study presents a novel, machine learning‐derived peripheral blood transcriptomic biomarker panel with potential applications in early lung cancer diagnosis. The LCDS model not only demonstrates high accuracy in distinguishing lung cancer patients from healthy individuals but also offers valuable insights into tumor‐immune interactions and underlying cancer biology. This approach may facilitate early lung cancer detection and contribute to a deeper understanding of the molecular and cellular mechanisms underlying tumor‐immune crosstalk. Furthermore, our findings on the relationship between LCDS and immune infiltration patterns may have implications for future research on therapeutic strategies targeting the immune system in lung cancer.


Baseline characteristics, spirometry and IOS measurements in the full study population
Diagnostic value of impulse oscillometry in chronic obstructive pulmonary disease: a multicentre, retrospective, observational study

October 2024

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27 Reads

BMJ Open

Objectives Diagnosis and assessment of chronic obstructive pulmonary disease (COPD) rely extensively on spirometry, which necessitates patient cooperation. The clinical value of impulse oscillometry (IOS) as a non-volitional method in patients with COPD remains uncertain. Design This retrospective observational study was conducted using patient data from between January 2014 and December 2015. Setting Five public hospitals in China: West China Hospital, Nuclear Industry 416 Hospital, Suining Central Hospital, Affiliated Hospital, Medical College of Chengdu University and 363 Hospital. Participants The study included 6307 participants aged>40 years, comprising 2109 COPD patients and 4198 general non-COPD individuals, according to the Global Initiative for Obstructive Lung Disease (GOLD) spirometry standard. Participants with lung cancer, pulmonary tuberculosis, pneumonia or those who underwent lung resection were excluded from the study. Outcome measures and analysis Demographic data, spirometry results and IOS results were collected. Spearman’s correlation analysis was used to examine the correlation between the IOS and spirometry parameters. Receiver operating characteristic curve analysis was used to evaluate the IOS performance in COPD diagnosis and severity staging. Results Patients with COPD exhibited significant increases in Z5, R5, R20, R5−R20, Fres and Rp, but a decrease in X5 compared with non-COPD subjects (p<0.0001). IOS parameters, including Z5, R5−R20, Fres, Rp and X5, varied with the GOLD stages, with mild-to-moderate correlations with MMEF25%–75%, forced expiratory volume in one second (FEV1)/forced vital capacity and FEV1%, respectively. However, the combination of these five IOS parameters did not exhibit ideal performance in diagnosing COPD (area under the curve (AUC) 0.78; sensitivity 63.68%; specificity 80.09%), differentiating GOLD stage 1 patients from the general non-COPD population (AUC 0.71; sensitivity 54.71%; specificity 77.49%) or identifying GOLD stages 3 and 4 patients among those with COPD (AUC 0.75; sensitivity 69.51%; specificity 70.32%). Conclusion IOS parameters, while showing good correlation with spirometry in patients with COPD, did not perfectly substitute for spirometry in diagnosing COPD, especially in the early and advanced stages of the disease.


Fig. 1. Flow diagram of eligible study participants from NHANES 2011-2012.
Fig. 2. Spearman correlation coeffificients among 11 phthalate metabolites (N = 1255), NHANES, USA, 2011-2012. The size of the sphere indicates the p-value. When the P-value is smaller, the sphere will be larger.
Associations between mixed exposure to phthalates and latent tuberculosis infection among the general U.S. population from NHANES 2011–2012

March 2024

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19 Reads

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1 Citation

Heliyon

Background People are constantly exposed to phthalates, but few reliable studies have focused on the connection between phthalate exposure and latent tuberculosis infection (LTBI). Methods Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database (2011–2012). The LTBI was assessed by QuantiFERON®-TB Gold-In-Tube (QFT) or tuberculin skin testing (TST). The odds ratios (ORs) and 95% confidence intervals (CIs) per log10 unit change in the concentration of phthalate metabolites were calculated using crude and adjusted logistic regression models. The relationships between mixed phthalate concentrations and LTBI were assessed using Bayesian kernel machine regression (BKMR) models. Results According to the results of the multivariable logistic regression, in a fully adjusted model, only monobenzyl phthalate (MBZP) was negatively associated with LTBI in Q3 (OR (95% CI): 0.485 (0.286,0.823), P = 0.007). According to the restricted cubic spline (RCS) model, there was a linear dose‒response association between all 11 phthalate metabolites and LTBI (p for nonlinearity >0.05). We found a significant positive correlation between mixed phthalate metabolites and LTBI by using fully adjusted BKMR model. Conclusions Our analysis demonstrated that LTBI in the general U.S. population is linearly linked with exposure to single or combined phthalates.


Establishment of MPE scoring system in training set: (a) Nomograph shows the relationship between four variables and MPE risk; (b) simplified scoring system and corresponding scores of each variable; (c) ROC analysis curve shows AUC 0.916, sensitivity 0.859, and specificity 0.892 at the cutoff score of 12 points for the simplified scoring system; (d) bar chart shows total score >12 points have high risk of MPE, and ⩽12 points have low risk of MPE.
AUC, area under the curve; MPE, malignant pleural effusion; ROC, receiver operating characteristic.
Evaluation of MPE scoring system in three sets: (a) ROC analyses show the AUC of training set, testing set, and validation set were 0.916, 0.923, and 0.936, respectively; (b) calibration curves show the gap between the predicted probability and the actual probability; (c) DCA curves show the benefits of patients with clinical intervention of MPE scoring system; (d) CIC curves show the gap between the predicted and actual number of patients under different probabilities with clinical intervention of MPE scoring system.
AUC, area under the curve; CIC, clinical impact curve; DCA, decision curve analysis; MPE, malignant pleural effusion; ROC, receiver operating characteristic.
Evaluation of MPE scoring system for identifying lung cancer-related MPE from BPE in three sets: (a) ROC analyses show the AUC of lung cancer-related MPE and BPE patients (lung/BPE) in training set, testing set, and validation set were 0.936, 0.962, and 0.930, respectively; (b) calibration curves show the gap between the predicted probability and the actual probability of lung/BPE patients; (c) DCA curves show the benefits of lung/BPE patients using the MPE scoring system; (d) CIC curves show the gap between the predicted and actual number of lung/BPE patients under different probabilities using the MPE scoring system.
AUC, area under the curve; BPE, benign pleural effusion; CIC, clinical impact curve; DCA, decision curve analysis; MPE, malignant pleural effusion; ROC, receiver operating characteristic.
Baseline characteristics of training set, testing set, and validation set.
Evaluation index of discriminative ability for the scoring system.
A simple and efficient clinical prediction scoring system to identify malignant pleural effusion

January 2024

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26 Reads

Background Early diagnosis of malignant pleural effusion (MPE) is of great significance. Current prediction models are not simple enough to be widely used in heavy clinical work. Objectives We aimed to develop a simple and efficient clinical prediction scoring system to distinguish MPE from benign pleural effusion (BPE). Design This retrospective study involved patients with MPE or BPE who were admitted in West China Hospital from December 2010 to September 2016. Methods Patients were divided into training, testing, and validation set. Prediction model was developed from training set and modified to a scoring system. The diagnostic efficacy and clinical benefits of the scoring system were estimated in all three sets. Results Finally, 598 cases of MPE and 1094 cases of BPE were included. Serum neuron-specific enolase, serum cytokeratin 19 fragment (CYFRA21-1), pleural carcinoembryonic antigen (CEA), and ratio of pleural CEA to serum CEA were selected to establish the prediction models in training set, which were modified to the scoring system with scores of 6, 8, 10, and 9 points, respectively. Patients with scores >12 points have high MPE risk while ⩽12 points have low MPE risk. The scoring system has a high predictive value and good clinical benefits to differentiate MPE from BPE or lung-specific MPE from BPE. Conclusion This study developed a simple clinical prediction scoring system and was proven to have good clinical benefits, and it may help clinicians to separate MPE from BPE.


Causal role of immune cells in chronic obstructive pulmonary disease: Mendelian randomization study

December 2023

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8 Reads

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8 Citations

Objectives: Innate and adaptive immunity play different roles in the pathogenesis of chronic obstructive pulmonary disease (COPD). However, previous studies on the relationship between immune cells and COPD reported inconsistent results. Methods: The causal connection between 731 immune cells and COPD was established using a two-sample Mendelian randomization (MR) analysis through publicly accessible genetic data. The heterogeneity and horizontal pleiotropism of the findings were confirmed using sensitivity analysis. Results: In the B-cell panel, B-cell activating factor receptor (BAFF-R) on CD20- and CD20 on IgD-CD38bright (OR (95% CI): 0.93 (0.88, 0.99) and 0.97 (0.95, 0.98), respectively) were discovered to be protective. In the cDC panel, CD62L- plasmacytoid DC AC, CD80 on monocytes and CD11c on myeloid DCs (OR (95% CI): 0.94 (0.92, 0.97), 0.97 (0.94, 0.99) and (0.97 (0.95, 0.98), respectively) exerted protective effects. However, unswitched memory AC (OR (95%CI): 1.08 (1.01,1.15)) and CD 19 on IgD- CD 27- (OR (95%CI): 1.06 (1.02,1.10)) were hazardous in the B-cell panel. However, among the 731 immune cell phenotypes, no causal relationship was found for COPD on immune cells. Conclusion: This study found a potential causal relationship between immune cells in COPD, ruling out reverse causation. This study provides new avenues for studying the mechanisms of COPD.


Single‐cell RNA sequencing reveals immune microenvironment of small cell lung cancer‐associated malignant pleural effusion

November 2023

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1 Citation

We used 10 × genomics single‐cell transcriptome sequencing technology to reveal the tumor immune microenvironment characteristics of small cell lung cancer (SCLC) in a patient with malignant pleural effusion (MPE). A total of 8008 high‐quality cells were finally obtained for subsequent bioinformatic analysis, which were divided into 10 cell clusters further identified as B cells, T cells, myeloid cells, NK cells, and cancer cells. Such SCLC related genes as NOTCH1, MYC, TSC22D1, SOX4, BLNK, YBX3, VIM, CD8A, CD8B, and KLF6 were expressed in different degrees during differentiation of T and B cells. Different ligands and receptors between T, B and tumor cells almost interact through MHC II, IL‐16, galectin, and APP signaling pathway.


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A Peripheral Blood Transcriptomic Biomarker Panel Identified by Multiple Machine Learning Algorithms Enables Early Diagnosis and Prognosis Prediction in Lung Cancer

October 2023

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29 Reads

Background Lung cancer is the leading cause of malignancy-associated mortality worldwide. Early-stage lung cancer often manifests without typical symptoms, frequently leading to late-stage diagnoses and grim prognoses. Therefore, the timely and precise identification of lung cancer in high-risk individuals is particularly significant. However, the development of machine learning-based models using peripheral blood-derived transcriptomic markers for early lung cancer detection remains unexplored. Methods Using a training cohort (GSE135304), we combined multiple machine learning algorithms to formulate the Lung Cancer Diagnostic Score (LCDS), utiliazing transcriptomic features within peripheral blood samples. To evaluate the LCDS model’s accuracy, we employed the area under the receiver operating characteristic (ROC) curve (AUC) in validation cohorts (GSE42834, GSE157086, and in-house dataset). Immune infiltration and pathway enrichment analyses were conducted to explore potential associations between the LCDS and lung cancer pathogenesis. Results Initial screening, based on univariable logistic regression in conjunction with ROC analysis, identified 844 genes. Subsequently, 87 genes, selected via Boruta features, were incorporated into 97 machine learning algorithms to construct the LCDS model. The highest accuracy was achieved using the random forest (RF) algorithm, incorporating expression of 87 genes, with a mean AUC value of 0.938. A lower LCDS was significantly associated with elevated immune scores, increased CD4 + T cells and CD8 + T cells. Furthermore, individuals within the higher LCDS group exhibited pronounced activation of hypoxia, PPAR, and Toll-like receptors (TLRs) signaling pathways, reduced DNA damage repair pathway scores. Conclusions An LCDS based on machine learning targeting transcriptomic features in peripheral blood was highly accurate in distinguishing lung cancer patients from healthy individuals. Additionally, individuals within the high LCDS group exhibited diminished antitumor immunity and augmented signaling pathway activity driving tumorigenesis and progression. The results of this study might facilitate the early lung cancer prediction and further promote precision treatment for lung cancer patients.


Citations (19)


... A major effort of the current editorial team in recent years has been to increase the quality and quantity our preclinical and translational research content [1]. Reflecting the efforts of the first-ever Deputy Editor for Basic Science Research appointed by the Editor-in-Chief, LUNG was pleased to publish a growing number of high-quality translational studies on a variety of topics including airway inflammation [2][3][4], biomarkers [5][6][7], acute lung injury [8][9][10], fibrosis [11,12], cigarette-smoke exposure [13,14], and COPD [15], as well as a review of the role of phage therapy in respiratory infections [16]. ...

Reference:

LUNG Year in Review: 2024
The Mitochondrial Fusion Promoter M1 Mitigates Cigarette Smoke-Induced Airway Inflammation and Oxidative Stress via the PI3K-AKT Signaling Pathway

Lung

... After incubation at 37 • C + 1 • C for 16 to 24 hours, plasma is extracted. Interferon-gamma (IFN-γ) response to TB Antigen is measured using enzyme-linked immunosorbent assay (ELISA) (20,21). A positive result indicates significantly higher IFN-γ response to TB Antigen compared to Nil control. ...

Associations between mixed exposure to phthalates and latent tuberculosis infection among the general U.S. population from NHANES 2011–2012

Heliyon

... 22 Infection and inflammation are facilitated by cytokines, which serve as crucial mediators between the lungs and immune system. 23 A previous cohort study in Taiwan showed an increased incidence of asthma in patients with AS, while COPD was included AS part of the participants' baseline description, and COPD was significantly higher in patients with AS compared to healthy controls. 24 A cross-sectional study further indicated a higher prevalence of COPD in individuals with AS compared to controls, with a strong independent association between AS and COPD (OR=1.225, ...

Causal role of immune cells in chronic obstructive pulmonary disease: Mendelian randomization study
  • Citing Article
  • December 2023

... This study employs single-cell sequencing technology to extensively explore novel immune regulatory mechanisms within the NSCLC microenvironment. Previous research has outlined the basic framework of the lung cancer microenvironment, yet specific details regarding cell subpopulations and their mechanisms of functional exhaustion remain elusive [66]. Building upon these foundations, our research not only further explores these aspects but also uncovers new regulatory axes that hold significant implications for future treatments. ...

Single‐cell RNA sequencing reveals immune microenvironment of small cell lung cancer‐associated malignant pleural effusion

... 73 The studies investigating whether OSA was a risk factor for AF burden (incidence, recurrence, and progression) had inconsistent results when OSA was identified with either questionnaires or sleep studies (PSG or HSAT). A metaanalysis that included 12 observational trials comprising 528,300 participants (AF prevalence, 34 89 These findings support that OSA has adverse effects on AF incidence. ...

Impact of sleep disordered breathing on postoperative atrial fibrillation in patients who underwent cardiac surgery: a meta-analysis

... In the treatment of UACS, the mechanism of action of NAC may involve (a) expectorant effect: NAC has a special structure containing a large number of sulfhydryl groups which promote the disulfide bond cleavage of mucin in sputum, thereby reducing the viscosity of mucus. It also splits the DNA in sputum, makes sputum thinner, facilitates coughing out of sputum, prevents sputum accumulation, and reduces airway resistance [17]; (b) antioxidant effect: NAC interacts with hydroxyl radicals and other factors, thereby scavenging oxygen free radicals, and enhancing the production of reduced glutathione (GSH) which is an important antioxidant, thereby reducing airway damage through antioxidant action [18]; (c) bacteriostasis: NAC destroys pathogenic biofilms, inhibits the adhesion of pathogenic bacteria, and inhibits the growth of Staphylococcus epidermidis and other bacteria [19]; (d) anti-inflammation and immune regulation: NAC blocks the expressions of proteins involved in airway inflammation, and it protects the airway by activating immune response [20]; (e) NAC promotes the expression of nitric oxide, dilates pulmonary blood vessels, enhances pulmonary ventilation, improves oxygen supply to airway mucosa, and facilitates the repair of airway mucosa [21]; and (f) NAC stimulates the production of bronchial glandular serous fluid and enhances the activity of nasal mucosa cilia, thereby improving the function of nasal self-defense barrier [22]. Moreover, aerosol inhalation makes NAC work faster [23]. ...

The effect of N-acetylcysteine in patients with non-cystic fibrosis bronchiectasis (NINCFB): study protocol for a multicentre, double-blind, randomised, placebo-controlled trial

BMC Pulmonary Medicine

... The findings of this systematic review offer valuable insights that can significantly influence clinical practice and decision-making in various surgical fields. The demonstrated benefits of pigtail catheters in reducing postoperative pain, pleural effusion, and hospital stays suggest that they should be considered as a preferred drainage method in thoracic surgeries, where minimizing patient discomfort and promoting faster recovery are critical [22]. Similarly, the effectiveness of VSD in improving wound healing and reducing pain in orthopedic procedures highlights its potential as a standard approach in fracture surgeries [23]. ...

Incidence of complications from indwelling pleural catheter for pleural effusion: A meta-analysis

... This could be evidence of attempts by our cell cultures to maintain homeostasis along with evidence of cellular stress with the potential for implications in disease. Previous research has also identified autophagy as a response to traditional tobacco use in smoking in mesenchymal-derived cells [146][147][148][149][150] especially during lineage commitment and emerging data on ENDS mostly focus on lung insults. [151][152][153] Put into context, our data support the axis that components found within ENDS products may drive cellular dysregulation and lead to disease after acute exposure. ...

PKM2 regulates cigarette smoke-induced airway inflammation and epithelial-to-mesenchymal transition via modulating PINK1/Parkin-mediated mitophagy
  • Citing Article
  • July 2022

Toxicology

... External stress disrupts this balance, leading to mitochondrial fragmentation, metabolic impairment and cellular damage. CS-induced mitochondrial dysfunction, characterized by disrupted mitochondrial dynamics, is implicated in the pathogenesis of COPD [8,9]. For instance, previous studies report that CS could induce increase of dynamin-related protein 1(DRP1) and mitochondrial fission factor (MFF) and decrease of mitofusin 2(MFN2) and optic atrophy 1(OPA1), thereby disrupt mitochondrial balance and produce reactive oxygen species (ROS). ...

Mitochondrial damage-associated molecular patterns in chronic obstructive pulmonary disease: Pathogenetic mechanism and therapeutic target

... Endostatin, a collagen-derived peptide, functions as a potent endogenous inhibitor of angiogenesis. Elevated plasma endostatin levels correlate with mortality rates in severe COVID-19 cases and are also significantly increased in COPD, indicating its role in endothelial damage and disease severity across various lung disorders [81,82]. The release of endostatin during ARDS reflects basement membrane fragmentation due to vascular injury and subsequent inflammatory responses. ...

Serum Endostatin Is a Novel Marker for COPD Associated with Lower Lung Function, Exacerbation and Systemic Inflammation