Respiratory Research最新文献

{"title":"Loss of interferon regulatory factor-1 prevents lung fibrosis by upregulation of pon1 expression.","authors":"Aiyuan Zhou, Xiyan Zhang, Xinyue Hu, Tiao Li, Wenzhong Peng, Hang Yang, Dingding Deng, Chunheng Mo, Rongli Lu, Pinhua Pan","doi":"10.1186/s12931-024-02987-9","DOIUrl":"10.1186/s12931-024-02987-9","url":null,"abstract":"<p><strong>Background: </strong>Interferon regulatory factor-1 (IRF1) is a transcription factor that plays a significant role in various biological processes, including inflammatory injury, viral infection, cell death, and immune responses, and it has been extensively studied in the context of different lung diseases. However, the mechanism underlying its involvement in lung fibrosis remains largely unknown.</p><p><strong>Methods: </strong>Wild type (WT) mice, IRF1 global-null mice (Irf1^-/-) were subjected to a bleomycin-induced lung fibrosis model to enable examination of the role of IRF1 in lung fibrosis. Proteomic analysis of lung tissue from WT and Irf1^-/- mice treated with saline or bleomycin was performed to explore the mechanism of IRF1 in regulating lung fibrosis.</p><p><strong>Results: </strong>In the bleomycin-induced fibrosis mouse model, increased expression of IRF1 was observed. Irf1 knockout mice displayed decreased lung fibrosis relative to WT mice following treatment with bleomycin. The protein expression of fibronectin, as assessed by the Western blot analysis of lung tissues, was downregulated in Irf1^-/- mice. We observed a similar reduction in collagen content using hydroxyproline detection. Histologically, there was less collagen deposition in the lungs of Irf1^-/- mice compared with WT mice. Proteomics data revealed that IRF1 may be involved in lung fibrosis via the regulation of ferroptosis. We determined that paraoxonase 1(PON1), a poorly characterized protein in lung fibrosis, was upregulated in Irf1^-/- mice following exposure to bleomycin. In vitro experiments revealed that IRF1 could regulate the level of GSH and MDA through PON1. We also determined that PON1 levels were lower in the plasma of IPF patients compared with healthy controls.</p><p><strong>Conclusion: </strong>Our data highlight the importance of IRF1 in the fibrotic process, and PON1 may be a potential mediator of IRF1 in the progression of lung fibrosis.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"394"},"PeriodicalIF":5.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11529560/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shenqifuzheng injection inhibits lactic acid-induced cisplatin resistance in NSCLC by affecting FBXO22/p53 axis through FOXO3.","authors":"Wei Bo, Xiaokai Wang, Ning Yu, Chun Wang, Chunying Liu","doi":"10.1186/s12931-024-03013-8","DOIUrl":"10.1186/s12931-024-03013-8","url":null,"abstract":"<p><strong>Background: </strong>Non-small cell lung cancer (NSCLC) accounts for 80% of lung cancers. Cisplatin (DDP)-based combination chemotherapy is the main treatment of NSCLC. Due to resistance to DDP, 5-year overall survival rate of NSCLC patients is very low. Shenqifuzheng injection (SQFZ) is essential for lung cancer progression. However, whether SQFZ plays a role in DDP resistance in NSCLC and its molecular mechanism remains unclear.</p><p><strong>Methods: </strong>Levels of FOXO3, FBXO22 and p53 in NSCLC tissues and cells were assessed by RT-qPCR and Western blot. Cell proliferation and apoptosis were analyzed utilizing CCK-8, Colony formation and Flow cytometry assays. Lactate (LA) levels were tested via ELISA. ChIP and Dual luciferase reporter assays validated regulatory relationship between FOXO3 and FBXO22. Immunoprecipitation assay evaluated p53 ubiquitination levels. The subcutaneous tumor model of nude mice was constructed. TUNEL staining detected apoptosis in tissues, and IHC assessed expression of Ki67, FOXO3, FBXO22 and p53.</p><p><strong>Results: </strong>FOXO3 was decreased, whereas LA and FBXO22 were increased in NSCLC patients. LA led to a higher DDP resistance in A549/DDP cells, while SQFZ reversed this effect by upregulating FOXO3. Furthermore, FBXO22 was a downstream effecter of FOXO3 and FBXO22 affected p53 ubiquitination to reverse the inhibitory effect of SQFZ. We next found SQFZ inhibited LA-induced DDP resistance in NSCLC via FOXO3/FBXO22/p53 axis. Finally, SQFZ regulated LA-mediated DDP resistance in NSCLC nude mice.</p><p><strong>Conclusion: </strong>SQFZ influences LA-induced DDP resistance in NSCLC via FOXO3/FBXO22/p53 pathway, providing a promising agent for NSCLC treatment.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"396"},"PeriodicalIF":5.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531113/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient-centered care in pulmonary fibrosis: access, anticipate, and act.","authors":"Delian E Hofman, Tonia Magrì, Catharina C Moor, Luca Richeldi, Marlies S Wijsenbeek, Yuko Waseda","doi":"10.1186/s12931-024-02997-7","DOIUrl":"10.1186/s12931-024-02997-7","url":null,"abstract":"<p><p>Comprehensive care integrates individual patient needs and is highly valued for patients with pulmonary fibrosis (PF). The importance of a patient-centered care approach is rooted in the unpredictable progressiveness of the disease course in PF. The respiratory impairment associated with PF has a major impact on the quality of life for both patients and their caregivers. We believe that prioritizing patient preferences could improve the shared decision making process and may ultimately lead to better health outcomes. Despite the growing emphasis for this approach, it remains challenging to adopt it in clinical practice. In this review, we propose the comprehensive Triple A Care Model, consisting of the domains Access, Anticipate, and Act, which emphasizes core elements of patient-centered care for patients with PF. We will provide an overview of the unmet needs in care for patients with PF and elaborate on the current methods for delivering patient-centered care. The latest insights into symptom management and supportive measures and several approaches to improving access to care are discussed, in line with the most recent guidelines.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"395"},"PeriodicalIF":5.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531140/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative micro-CT-derived biomarkers elucidate age-related lung fibrosis in elder mice.","authors":"Davide Buseghin, Andrea Grandi, Erica Ferrini, Gino Villetti, Roberta Ciccimarra, Nicola Sverzellati, Andrea Aliverti, Francesca Pennati, Franco Fabio Stellari","doi":"10.1186/s12931-024-03006-7","DOIUrl":"10.1186/s12931-024-03006-7","url":null,"abstract":"<p><strong>Background: </strong>Idiopathic Pulmonary Fibrosis (IPF), prevalently affecting individuals over 60 years of age, has been mainly studied in young mouse models. The limited efficacy of current treatments underscores the need for animal models that better mimic an aged patient population. We addressed this by inducing pulmonary fibrosis in aged mice, using longitudinal micro-CT imaging as primary readout, with special attention to animal welfare.</p><p><strong>Methods: </strong>A double bleomycin dose was administered to 18-24 months-old male C57Bl/6j mice to induce pulmonary fibrosis. Bleomycin dosage was reduced to as low as 75% compared to that commonly administered to young (8-12 weeks-old) mice, resulting in long-term lung fibrosis without mortality, complying with animal welfare guidelines. After fibrosis induction, animals received Nintedanib once-daily for two weeks and longitudinally monitored by micro-CT, which provided structural and functional biomarkers, followed by post-mortem histological analysis as terminal endpoint.</p><p><strong>Results: </strong>Compared to young mice, aged animals displayed increased volume, reduced tissue density and function, and marked inflammation. This increased vulnerability imposed a bleomycin dosage reduction to the lowest tested level (2.5 µg/mouse), inducing a milder, yet persistent, fibrosis, while preserving animal welfare. Nintedanib treatment reduced fibrotic lesions and improved pulmonary function.</p><p><strong>Conclusions: </strong>Our data identify a downsized bleomycin treatment that allows to achieve the best trade-off between fibrosis induction and animal welfare, a requirement for antifibrotic drug testing in aged lungs. Nintedanib displayed significant efficacy in this lower-severity disease model, suggesting potential patient stratification strategies. Lung pathology was quantitatively assessed by micro-CT, pointing to the value of longitudinal endpoints in clinical trials.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"393"},"PeriodicalIF":5.8,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526612/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry.","authors":"Yanyan Shi, Ralf Strobl, Reinhard Berner, Jakob Armann, Simone Scheithauer, Eva Grill","doi":"10.1186/s12931-024-03018-3","DOIUrl":"10.1186/s12931-024-03018-3","url":null,"abstract":"<p><strong>Objective: </strong>Phenotypes are important for patient classification, disease prognostication, and treatment customization. We aimed to identify distinct clinical phenotypes of children and adolescents hospitalized with SARS-CoV-2 infection, and to evaluate their prognostic differences.</p><p><strong>Methods: </strong>The German Society of Pediatric Infectious Diseases (DGPI) registry is a nationwide, prospective registry for children and adolescents hospitalized with a SARS-CoV-2 infection in Germany. We applied hierarchical clustering for phenotype identification with variables including sex, SARS-CoV-2-related symptoms on admission, pre-existing comorbidities, clinically relevant coinfection, and SARS-CoV-2 risk factors. Outcomes of this study were: discharge status and ICU admission. Discharge status was categorized as: full recovery, residual symptoms, and unfavorable prognosis (including consequential damage that has already been identified as potentially irreversible at the time of discharge and SARS-CoV-2-related death). After acquiring the phenotypes, we evaluated their correlation with discharge status by multinomial logistic regression model, and correlation with ICU admission by binary logistic regression model. We conducted an analogous subgroup analysis for those aged < 1 year (infants) and those aged ⩾ 1 year (non-infants).</p><p><strong>Results: </strong>The DGPI registry enrolled 6983 patients, through which we identified six distinct phenotypes for children and adolescents with SARS-CoV-2 which can be characterized by their symptom pattern: phenotype A had a range of symptoms, while predominant symptoms of patients with other phenotypes were gastrointestinal (95.9%, B), asymptomatic (95.9%, C), lower respiratory tract (49.8%, D), lower respiratory tract and ear, nose and throat (86.2% and 41.7%, E), and neurological (99.2%, F). Regarding discharge status, patients with D and E phenotype had the highest odds of having residual symptoms (OR: 1.33 [1.11, 1.59] and 1.91 [1.65, 2.21], respectively) and patients with phenotype D were significantly more likely (OR: 4.00 [1.95, 8.19]) to have an unfavorable prognosis. Regarding ICU, patients with phenotype D had higher possibility of ICU admission than staying in normal ward (OR: 4.26 [3.06, 5.98]), compared to patients with phenotype A. The outcomes observed in the infants and non-infants closely resembled those of the entire registered population, except infants did not exhibit typical neurological/neuromuscular phenotypes.</p><p><strong>Conclusions: </strong>Phenotypes enable pediatric patient stratification by risk and thus assist in personalized patient care. Our findings in SARS-CoV-2-infected population might also be transferable to other infectious diseases.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"392"},"PeriodicalIF":5.8,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel Non-rodent animal model of hydrochloric acid-induced acute and chronic lung injury.","authors":"Pavel A Solopov, Ruben Manuel Luciano Colunga Biancatelli, Tierney Day, Christiana Dimitropoulou, John D Catravas","doi":"10.1186/s12931-024-03022-7","DOIUrl":"10.1186/s12931-024-03022-7","url":null,"abstract":"<p><p>Hydrochloric acid is one of the most prevalent and hazardous chemicals. Accidental spills occur in industrial plants or during transportation. Exposure to HCl can induce severe health impairment, including acute and chronic pulmonary diseases. We have previously described the molecular, structural, and functional aspects of the development of chronic lung injury and pulmonary fibrosis caused by intratracheal instillation of HCl in mice. Although mouse models of human disease have many advantages, rodents are evolutionary far from human and exhibit significant anatomical and physiological differences. Genetic and anatomic similarities between rabbits and humans are significantly higher. Rabbit models of HCl-induced lung injury have been used sparsely to evaluate acute lung injury. In this study, for the first time, we utilized rabbits as a model of HCl-induced pulmonary fibrosis and chronic lung injury. We present molecular, histological, and functional evidence that demonstrate the utility of using this model for studying new pharmaceutics against pulmonary fibrosis.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"390"},"PeriodicalIF":5.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic lung cancer subtyping using rapid on-site evaluation slides and serum biological markers.","authors":"Junxiang Chen, Chunxi Zhang, Jun Xie, Xuebin Zheng, Pengchen Gu, Shuaiyang Liu, Yongzheng Zhou, Jie Wu, Ying Chen, Yanli Wang, Chuan He, Jiayuan Sun","doi":"10.1186/s12931-024-03021-8","DOIUrl":"10.1186/s12931-024-03021-8","url":null,"abstract":"<p><strong>Background: </strong>Rapid on-site evaluation (ROSE) plays an important role during transbronchial sampling, providing an intraoperative cytopathologic evaluation. However, the shortage of cytopathologists limits its wide application. This study aims to develop a deep learning model to automatically analyze ROSE cytological images.</p><p><strong>Methods: </strong>The hierarchical multi-label lung cancer subtyping (HMLCS) model that combines whole slide images of ROSE slides and serum biological markers was proposed to discriminate between benign and malignant lesions and recognize different subtypes of lung cancer. A dataset of 811 ROSE slides and paired serum biological markers was retrospectively collected between July 2019 and November 2020, and randomly divided to train, validate, and test the HMLCS model. The area under the curve (AUC) and accuracy were calculated to assess the performance of the model, and Cohen's kappa (κ) was calculated to measure the agreement between the model and the annotation. The HMLCS model was also compared with professional staff.</p><p><strong>Results: </strong>The HMLCS model achieved AUC values of 0.9540 (95% confidence interval [CI]: 0.9257-0.9823) in malignant/benign classification, 0.9126 (95% CI: 0.8756-0.9365) in malignancy subtyping (non-small cell lung cancer [NSCLC], small cell lung cancer [SCLC], or other malignancies), and 0.9297 (95% CI: 0.9026-0.9603) in NSCLC subtyping (lung adenocarcinoma [LUAD], lung squamous cell carcinoma [LUSC], or NSCLC not otherwise specified [NSCLC-NOS]), respectively. In total, the model achieved an AUC of 0.8721 (95% CI: 0.7714-0.9258) and an accuracy of 0.7184 in the six-class classification task (benign, LUAD, LUSC, NSCLC-NOS, SCLC, or other malignancies). In addition, the model demonstrated a κ value of 0.6183 with the annotation, which was comparable to cytopathologists and superior to trained bronchoscopists and technicians.</p><p><strong>Conclusion: </strong>The HMLCS model showed promising performance in the multiclassification of lung lesions or intrathoracic lymphadenopathy, with potential application to provide real-time feedback regarding preliminary diagnoses of specimens during transbronchial sampling procedures.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"391"},"PeriodicalIF":5.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11523640/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of HHIP gene polymorphisms on phenotypes, serum IL-17 and IL-18 in COPD patients of the Chinese Han population.","authors":"Jiajun Zhang, Di Zhao, Lili Zhang, Xueyan Feng, Beibei Li, Hui Dong, Yanchao Qi, Zun Jia, Fuyun Liu, Shaohui Zhao, Jin Zhang","doi":"10.1186/s12931-024-03020-9","DOIUrl":"10.1186/s12931-024-03020-9","url":null,"abstract":"<p><strong>Background: </strong>Genetic factors, including the Hedgehog Interacting Protein (HHIP) gene, play a crucial role in Chronic Obstructive Pulmonary Disease (COPD) susceptibility. This study examines the association between HHIP gene polymorphisms and COPD susceptibility, phenotypes, and serum IL-17 and IL-18 levels in a Han Chinese population.</p><p><strong>Methods: </strong>A case-control study was conducted with 300 COPD patients and 300 healthy controls in Chinese Han population. Participants underwent genotyping for HHIP gene polymorphisms, pulmonary function tests, and quantitative CT scans. DNA samples were sequenced using a custom chip targeting the HHIP gene. Serum IL-17 and IL-18 levels were measured by enzyme-linked immunosorbent assay. Associations between SNPs, COPD susceptibility, and phenotypes were analyzed using logistic and multiple linear regression models, adjusting for confounders.</p><p><strong>Results: </strong>Our study identified the rs11100865 polymorphism in the HHIP gene as significantly associated with COPD susceptibility (OR 2.479, 95% CI 1.527-4.024, P = 2.39E-04) after screening 114 SNPs through rigorous quality control. Stratified analyses further indicated this association was particularly in individuals aged 60 or older. Serum levels of IL-17 and IL-18 were significantly elevated in COPD patients compared to controls, with rs11100865 showing a notable association with IL-18 levels (B = 49.654, SE = 19.627, P = 0.012). However, no significant associations were observed between rs11100865 and serum IL-17 levels, COPD-related imaging parameters, or clinical phenotypes.</p><p><strong>Conclusion: </strong>This study identified a significant association between HHIP gene polymorphisms and COPD susceptibility in a Han Chinese population, with connections to inflammation, but found no significant associations between this SNP and COPD-related imaging or clinical phenotypes.</p><p><strong>Trial registration: </strong>www.chictr.org.cn ID: ChiCTR2300071579 2023-05-18.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"386"},"PeriodicalIF":5.8,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Kiss1 receptor knockout exacerbates airway hyperresponsiveness and remodeling in a mouse model of allergic asthma.","authors":"Nilesh Sudhakar Ambhore, Premanand Balraj, Ashish Kumar, Mohammad Irshad Reza, Yogaraj S Ramakrishnan, Jacob Tesch, Sahil Lohana, Venkatachalem Sathish","doi":"10.1186/s12931-024-03017-4","DOIUrl":"10.1186/s12931-024-03017-4","url":null,"abstract":"<p><strong>Background: </strong>In asthma, sex-steroids signaling is recognized as a critical regulator of disease pathophysiology. However, the paradoxical role of sex-steroids, especially estrogen, suggests that an upstream mechanism or even independent of estrogen plays an important role in regulating asthma pathophysiology. In this context, in our previous studies, we explored kisspeptin (Kp) and its receptor Kiss1R's signaling in regulating human airway smooth muscle cell remodeling in vitro and airway hyperresponsiveness (AHR) in vivo in a mouse (wild-type, WT) model of asthma. In this study, we evaluated the effect of endogenous Kp in regulating AHR and remodeling using Kiss1R knockout (Kiss1R^-/-) mice.</p><p><strong>Methods: </strong>C57BL/6J WT (Kiss1R^+/+) and Kiss1R^-/- mice, both male and female, were intranasally challenged with mixed-allergen (MA) and/or phosphate-buffered saline (PBS). We used flexiVent analysis to assess airway resistance (Rrs), elastance (Ers), and compliance (Crs). Following this, broncho-alveolar lavage (BAL) was performed for differential leukocyte count (DLC) and cytokine analysis. Histology staining was performed using hematoxylin and eosin (H&E) for morphological analysis and Masson's Trichrome (MT) for collagen deposition. Additionally, lung sections were processed for immunofluorescence (IF) of Ki-67, α-smooth muscle actin (α-SMA), and tenascin-c.</p><p><strong>Results: </strong>Interestingly, the loss of Kiss1R exacerbated lung function and airway contractility in mice challenged with MA, with more profound effects in Kiss1R^-/- female mice. MA-challenged Kiss1R^-/- mice showed a significant increase in immune cell infiltration and proinflammatory cytokine levels. Importantly, the loss of Kiss1R aggravated Th2/Th17 biased cytokines in MA-challenged mice. Furthermore, histology of lung sections from Kiss1R^-/- mice showed increased collagen deposition on airway walls and mucin production in airway cells compared to Kiss1R^+/+ mice. In addition, immunofluorescence analysis showed loss of Kiss1R significantly aggravated airway remodeling and subsequently AHR.</p><p><strong>Conclusions: </strong>These findings demonstrate the importance of inherent Kiss1R signaling in regulating airway inflammation, AHR, and remodeling in the pathophysiology of asthma.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"387"},"PeriodicalIF":5.8,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520794/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients.","authors":"Zihan Li, Meixin Zhao, Zhichun Li, Yu-Hua Huang, Zhi Chen, Yao Pu, Mayang Zhao, Xi Liu, Meng Wang, Kun Wang, Martin Ho Yin Yeung, Lisheng Geng, Jing Cai, Weifang Zhang, Ruijie Yang, Ge Ren","doi":"10.1186/s12931-024-03004-9","DOIUrl":"10.1186/s12931-024-03004-9","url":null,"abstract":"<p><strong>Background: </strong>Pulmonary embolism (PE) is life-threatening and requires timely and accurate diagnosis, yet current imaging methods, like computed tomography pulmonary angiography, present limitations, particularly for patients with contraindications to iodinated contrast agents. We aimed to develop a quantitative texture analysis pipeline using machine learning (ML) based on non-contrast thoracic computed tomography (CT) scans to discover intensity and textural features correlated with regional lung perfusion (Q) physiology and pathology and synthesize voxel-wise Q surrogates to assist in PE diagnosis.</p><p><strong>Methods: </strong>We retrospectively collected ^99mTc-labeled macroaggregated albumin Q-SPECT/CT scans from patients suspected of PE, including an internal dataset of 76 patients (64 for training, 12 for testing) and an external testing dataset of 49 patients. Quantitative CT features were extracted from segmented lung subregions and underwent a two-stage feature selection pipeline. The prior-knowledge-driven preselection stage screened for robust and non-redundant perfusion-correlated features, while the data-driven selection stage further filtered features by fitting ML models for classification. The final classification model, trained with the highest-performing PE-associated feature combination, was evaluated in the testing cohorts based on the Area Under the Curve (AUC) for subregion-level predictability. The voxel-wise Q surrogate was then synthesized using the final selected feature maps (FMs) and model score maps (MSMs) to investigate spatial distributions. The Spearman correlation coefficient (SCC) and Dice similarity coefficient (DSC) were used to assess the spatial consistency between FMs or MSMs and Q-SPECT scans.</p><p><strong>Results: </strong>The optimal model performance achieved an AUC of 0.863 during internal testing and 0.828 on the external testing cohort. The model identified a combination containing 14 intensity and textural features that were non-redundant, robust, and capable of distinguishing between high- and low-functional lung regions. Spatial consistency assessment in the internal testing cohort showed moderate-to-high agreement between MSMs and reference Q-SPECT scans, with median SCC of 0.66, median DSCs of 0.86 and 0.64 for high- and low-functional regions, respectively.</p><p><strong>Conclusions: </strong>This study validated the feasibility of using quantitative texture analysis and a data-driven ML pipeline to generate voxel-wise lung perfusion surrogates, providing a radiation-free, widely accessible alternative to functional lung imaging in managing pulmonary vascular diseases.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":49131,"journal":{"name":"Respiratory Research","volume":"25 1","pages":"389"},"PeriodicalIF":5.8,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11520386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}