Debate on long-acting β agonists for asthma: they think it's all over

A Simulation Study of the Effect of Clinical Characteristics and Treatment Choice on Reliever Medication Use, Symptom Control and Exacerbation Risk in Moderate-Severe Asthma

INTRODUCTION

The relationship between immediate symptom control, reliever medication use and exacerbation risk on treatment response and factors that modify it have not been assessed in an integrated manner. Here we apply simulation scenarios to evaluate the effect of individual baseline characteristics on treatment response in patients with moderate-severe asthma on regular maintenance dosing monotherapy with fluticasone propionate (FP) or combination therapy with fluticasone propionate/salmeterol (FP/SAL) or budesonide/formoterol (BUD/FOR).

METHODS

Reduction in reliever medication use (puffs/24 h), change in symptom control scores (ACQ-5), and annualised exacerbation rate over 12 months were simulated in a cohort of patients with different baseline characteristics (e.g. time since diagnosis, asthma control questionnaire (ACQ-5) symptom score, smoking status, body mass index (BMI) and sex) using drug-disease models derived from large phase III/IV clinical studies.

RESULTS

Simulation scenarios show that being a smoker, having higher baseline ACQ-5 and BMI, and long asthma history is associated with increased reliever medication use (p < 0.01). This increase correlates with a higher exacerbation risk and higher ACQ-5 scores over the course of treatment, irrespective of the underlying maintenance therapy. Switching non-responders to ICS monotherapy to combination therapy after 3 months resulted in immediate reduction in reliever medication use (i.e. 1.3 vs. 1.0 puffs/24 h for FP/SAL and BUD/FOR, respectively). In addition, switching patients with ACQ-5 > 1.5 at baseline to FP/SAL resulted in 34% less exacerbations than those receiving regular dosing BUD/FOR (p < 0.01).

CONCLUSIONS

We have identified baseline characteristics of patients with moderate to severe asthma that are associated with greater reliever medication use, poor symptom control and higher exacerbation risk. Moreover, the effects of different inhaled corticosteroid (ICS)/long-acting beta agonist (LABA) combinations vary significantly when considering long-term treatment performance. These factors should be considered in clinical practice as a basis for personalised management of patients with moderate-severe asthma symptoms.

Pi-Pa-Run-Fei-Tang alleviates lung injury by modulating IL-6/JAK2/STAT3/IL-17 and PI3K/AKT/NF-κB signaling pathway and balancing Th17 and Treg in murine model of OVA-induced asthma

ETHNOPHARMACOLOGICAL RELEVANCE

Pi-Pa-Run-Fei-Tang (PPRFT) is an empirical TCM prescription for treating asthma. However, the underlying mechanisms of PPRFT in asthma treatment have yet to be elucidated. Recent advances have revealed that some natural components could ameliorate asthma injury by affecting host metabolism. Untargeted metabolomics can be used to better understand the biological mechanisms underlying asthma development and identify early biomarkers that can help advance treatment.

AIM OF THE STUDY

The aim of this study was to verification the efficacy of PPRFT in the treatment of asthma and to preliminarily explore its mechanism.

MATERIALS AND METHODS

A mouse asthma model was built by OVA induction. Inflammatory cell in BALF was counted. The level of IL-6, IL-1β, and TNF-α in BALF were measured. The levels of IgE in the serum and EPO, NO, SOD, GSH-Px, and MDA in the lung tissue were measured. Furthermore, pathological damage to the lung tissues was detected to evaluate the protective effects of PPRFT. The serum metabolomic profiles of PPRFT in asthmatic mice were determined by GC-MS. The regulatory effects on mechanism pathways of PPRFT in asthmatic mice were explored via immunohistochemical staining and western blotting analysis.

RESULTS

PPRFT displayed lung-protective effects through decreasing oxidative stress, airway inflammation, and lung tissue damage in OVA-induced mice, which was demonstrated by decreasing inflammatory cell levels, IL-6, IL-1β, and TNF-α levels in BALF, and IgE levels in serum, decreasing EPO, NO, and MDA levels in lung tissue, elevating SOD and GSH-Px levels in lung tissue and lung histopathological changes. In addition, PPRFT could regulate the imbalance in Th17/Treg cell ratios, suppress RORγt, and increase the expression of IL-10 and Foxp3 in the lung. Moreover, PPRFT treatment led to decreased expression of IL-6, p-JAK2/Jak2, p-STAT3/STAT3, IL-17, NF-κB, p-AKT/AKT, and p-PI3K/PI3K. Serum metabolomics analysis revealed that 35 metabolites were significantly different among different groups. Pathway enrichment analysis indicated that 31 pathways were involved. Moreover, correlation analysis and metabolic pathway analysis identified three key metabolic pathways: galactose metabolism; tricarboxylic acid cycle; and glycine, serine, and threonine metabolism.

CONCLUSION

This research indicated that PPRFT treatment not only attenuates the clinical symptoms of asthma but is also involved in regulating serum metabolism. The anti-asthmatic activity of PPRFT may be associated with the regulatory effects of IL-6/JAK2/STAT3/IL-17 and PI3K/AKT/NF-κB mechanistic pathways.