Beclometasone for chronic obstructive pulmonary disease

Coster, Daan A De; Jones, Melvyn; Thakrar, Nikita

doi:10.1002/14651858.cd009769.pub2

Cited by 8 publications

(5 citation statements)

References 61 publications

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“…Other reviews of mucoactive drugs have noted a similar lack of evidence or limited evidence to support the use of these drugs. [18][19][20] Only 2 studies reported significant group differences in the outcomes of sputum viscosity and atelectasis. Changes in sputum volume, pulmonary function, and S pO 2 did not differ significantly between groups in studies of any agent.…”

Section: Discussionmentioning

confidence: 99%

Pharmacologic Agents That Promote Airway Clearance in Hospitalized Subjects: A Systematic Review

Sathe

Krishnaswami²,

Andrews³

et al. 2015

Respir Care

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Pharmacologic agents to promote mucus clearance may reduce the sequelae of obstructive secretions. We systematically reviewed comparative studies of pharmacologic agents for mucus clearance in hospitalized or postoperative subjects without cystic fibrosis and over 12 months of age. We searched MEDLINE and other databases from January 1970 to July 2014 to identify relevant literature. Two reviewers independently assessed each study against predetermined inclusion/exclusion criteria. Two reviewers also independently extracted data regarding subject and intervention characteristics and outcomes and assigned overall quality ratings. The 9 studies meeting review criteria included 5 randomized controlled trials, 3 crossover randomized controlled trials, and one retrospective cohort study. Studies were small and together included a total of 379 subjects (mean of 42 subjects per study). N-acetylcysteine, heparin plus N-acetylcysteine, albuterol, ipratropium bromide, and saline were assessed. Studies reported no benefit of studied agents on expectoration, pulmonary function, and atelectasis and little effect on changes in sputum volume, weight, or viscosity. Adverse effects of agents were not consistently reported. Nausea was reported in 2 studies of N-acetylcysteine (one paper reported 2 experiments and did not clearly identify in which experiment adverse effects occurred), 3 studies reported that there were no adverse events, and 3 studies did not address adverse effects at all. Further research with clearly characterized populations and interventions is needed to understand the potential benefits and adverse effects of mucoactive agents.

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Section: Discussionmentioning

confidence: 99%

Pharmacologic Agents That Promote Airway Clearance in Hospitalized Subjects: A Systematic Review

Sathe

Krishnaswami²,

Andrews³

et al. 2015

Respir Care

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show abstract

“…Beclomethasone is a Corticosteroid with anti-inflammatory and immunomodulating properties for chronic obstructive pulmonary disease Pang et al Journal of Translational Medicine (2022) 20:531 and COVID-19. It has been reported that Beclomethasone inhibits normal physiologic neutrophil migration and neutrophil chemotaxis upon detection of trauma induced inflammation [54,55]. In the cohort screened for drugs that promoted increased CD177 mRNA expression, XL147 was found to have high affinity for the CD177 mRNA.…”

Section: Discussionmentioning

confidence: 95%

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Pang

Chen

et al. 2022

J Transl Med

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Non-small cell lung cancer (NSCLC) is the most widely distributed tumor in the world, and its immunotherapy is not practical. Neutrophil is one of a tumor’s most abundant immune cell groups. This research aimed to investigate the complex communication network in the immune microenvironment (TIME) of NSCLC tumors to clarify the interaction between immune cells and tumors and establish a prognostic risk model that can predict immune response and prognosis of patients by analyzing the characteristics of Neutrophil differentiation. Integrated Single-cell RNA sequencing (scRNA-seq) data from NSCLC samples and Bulk RNA-seq were used for analysis. Twenty-eight main cell clusters were identified, and their interactions were clarified. Next, four subsets of Neutrophils with different differentiation states were found, closely related to immune regulation and metabolic pathways. Based on the ratio of four housekeeping genes (ACTB, GAPDH, TFRC, TUBB), six Neutrophil differentiation-related genes (NDRGs) prognostic risk models, including MS4A7, CXCR2, CSRNP1, RETN, CD177, and LUCAT1, were constructed by Elastic Net and Multivariate Cox regression, and patients’ total survival time and immunotherapy response were successfully predicted and validated in three large cohorts. Finally, the causes of the unfavorable prognosis of NSCLC caused by six prognostic genes were explored, and the small molecular compounds targeted at the anti-tumor effect of prognostic genes were screened. This study clarifies the TIME regulation network in NSCLC and emphasizes the critical role of NDRGs in predicting the prognosis of patients with NSCLC and their potential response to immunotherapy, thus providing a promising therapeutic target for NSCLC.

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“…Cyclosporine, an immunosuppressant widely used after allogeneic organ transplantation, can reduce the activity of patients' immune systems, thus reducing the risk of organ rejection [51]. Beclomethasone is a Corticosteroid with anti-in ammatory and immunomodulating properties for chronic obstructive pulmonary disease [52] and COVID-19 [53]. As a compound that can promote the increase of CD177 expression and has a high a nity with CD177, Bisphenol A is a non-steroidal compound with estrogenic activity and acts as a free radical scavenger.…”

Section: Discussionmentioning

confidence: 99%

Integrating Single-Cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Pang

Chen

et al. 2022

Preprint

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Non-small cell lung cancer (NSCLC) is the most widely distributed tumor in the world, and its immunotherapy is not practical. Neutrophil is one of a tumor's most abundant immune cell groups. This research aimed to investigate the complex communication network in the immune microenvironment (TIME) of NSCLC tumors to clarify the interaction between immune cells and tumors and establish a prognostic risk model that can predict immune response and prognosis of patients by analyzing the characteristics of Neutrophil differentiation. Integrated single-cell RNA sequencing (scRNA-seq) data from NSCLC samples and Bulk RNA-seq were used for analysis. Twenty-eight main cell clusters were identified, and their interactions were clarified. Subsequently, four subsets of Neutrophils with different differentiation states were found, closely related to immune regulation and metabolic pathways. Based on the ratio of four housekeeping genes (ACTB, GAPDH, TFRC, TUBB), six Neutrophil differentiation-related genes (NDRGs) prognostic risk models, including MS4A7, CXCR2, CSRNP1, RETN, CD177, and LUCAT1, were constructed by Elastic Net and Multivariate Cox regression, and patients' total survival time and immunotherapy response were successfully predicted and validated in three large cohorts. Finally, the causes of the worse prognosis of NSCLC caused by six prognostic genes were explored, and the small molecular compounds targeted at the anti-tumor effect of prognostic genes were screened. This study clarifies the TIME regulation network in NSCLC and emphasizes the critical role of NDRGs in predicting the prognosis of patients with NSCLC and their potential response to immunotherapy, thus providing a promising therapeutic target for NSCLC.

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Beclometasone for chronic obstructive pulmonary disease

Cited by 8 publications

References 61 publications

Pharmacologic Agents That Promote Airway Clearance in Hospitalized Subjects: A Systematic Review

Pharmacologic Agents That Promote Airway Clearance in Hospitalized Subjects: A Systematic Review

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Integrating Single-Cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

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