A study of Spirometric parameters in non asthmatic allergic rhinitis

Correlation Between Salivary Cortisol Levels and Diurnal Variation in Spirometric Parameters in Apparently Healthy Adults

BACKGROUND

This study investigated diurnal variations in spirometric parameters and their correlation with salivary cortisol levels among apparently healthy adults.

METHODS

Forty subjects, aged 18-22, were assessed. Spirometric parameters, including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), forced expiratory flow during 25%-75% of expiration, and peak expiratory flow rate, were measured in the morning, afternoon, and evening. Salivary cortisol levels were also measured at these intervals. Statistical analyses included calculating means, standard deviations, confidence intervals, and Pearson correlation coefficients.

RESULTS

The mean FEV1 values were 2.8325 L in the morning, 2.9263 L in the afternoon, and 2.9543 L in the evening, slightly increasing throughout the day but with overlapping confidence intervals, suggesting no statistical significance. The FEV1/FVC ratios displayed a similar pattern. FVC values decreased slightly from morning to evening, but these changes were not statistically significant. Pearson correlation analysis revealed a strong positive correlation between salivary cortisol and FVC (r = 0.829, p = 0.055), a moderate negative correlation with FEV1 (r = -0.649, p = 0.038), and a strong negative correlation with the FEV1/FVC ratio (r = -0.730, p = 0.040).

CONCLUSION

Spirometric parameters exhibited minor diurnal variations, with no statistically significant changes for most measures except for salivary cortisol levels, which significantly decreased throughout the day. Significant correlations were observed between salivary cortisol and certain spirometric parameters.

[Analysis of related factors for postoperative recurrence of antrochoanal polyps in children]

Objective:To analyze the correlation between nasal resistance and lung function in children with allergic rhinitis（AR）, and explore whether AR children with increased nasal resistance are accompanied by potential lower respiratory tract involvement. Methods:A total of 88 children diagnosed with AR from December 2021 to December 2022 were selected as the study group, while 20 normal children were selected as the control group during the same period. Both the study group and the control group children underwent lung function tests, bronchodilator tests, and nasal resistance measurements. Spearman correlation analysis and multiple linear regression analysis were performed on the results of nasal resistance and lung function tests to explore the relationship and influencing factors between the two groups.According to the results of nasal resistance measurement, children with increased nasal resistance and abnormal lung function were divided into a mild increase in nasal resistance with abnormal lung function group and a moderate to severe increase in nasal resistance with abnormal lung function group. The degree of increased nasal resistance was analyzed to determine whether it would affect lung function. Results:The FEF25, FEF50, and FEF75 levels in the study group were significantly lower than those in the control group（P<0.05）. The FEV1of children with moderate to severe increase in AR nasal resistance was significantly lower than that of children with mild increase in AR nasal resistance（P<0.05）. There was a correlation between nasal resistance and FEV1/FVC, R20 in AR children, and FEV1/FVC, R20 were the influencing factors of nasal resistance in AR children（P<0.05）. There was no correlation between total serum IgE, lung function, and bronchodilation test in AR patients（P>0.05）. Conclusion:The nasal ventilation function of AR patients has changed, and there is a downward trend in small airway function. Children with moderate to severe increase in AR nasal resistance have a more significant decrease in lung ventilation function than those with mild increase. The nasal resistance of AR children is influenced by FEV1/FVC and R20, and FEV1/FVC and R20 decrease as the nasal resistance value increases. The improvement rate of lung function and FEV1 are not influencing factors for the elevation of total serum IgE.

Identification of pyroptosis-related subtypes and establishment of prognostic model and immune characteristics in asthma

Background

Although studies have shown that cell pyroptosis is involved in the progression of asthma, a systematic analysis of the clinical significance of pyroptosis-related genes (PRGs) cooperating with immune cells in asthma patients is still lacking.

Methods

Transcriptome sequencing datasets from patients with different disease courses were used to screen pyroptosis-related differentially expressed genes and perform biological function analysis. Clustering based on K-means unsupervised clustering method is performed to identify pyroptosis-related subtypes in asthma and explore biological functional characteristics of poorly controlled subtypes. Diagnostic markers between subtypes were screened and validated using an asthma mouse model. The infiltration of immune cells in airway epithelium was evaluated based on CIBERSORT, and the correlation between diagnostic markers and immune cells was analyzed. Finally, a risk prediction model was established and experimentally verified using differentially expressed genes between pyroptosis subtypes in combination with asthma control. The cMAP database and molecular docking were utilized to predict potential therapeutic drugs.

Results

Nineteen differentially expressed PRGs and two subtypes were identified between patients with mild-to-moderate and severe asthma conditions. Significant differences were observed in asthma control and FEV1 reversibility between the two subtypes. Poor control subtypes were closely related to glucocorticoid resistance and airway remodeling. BNIP3 was identified as a diagnostic marker and associated with immune cell infiltration such as, M2 macrophages. The risk prediction model containing four genes has accurate classification efficiency and prediction value. Small molecules obtained from the cMAP database that may have therapeutic effects on asthma are mainly DPP4 inhibitors.

Conclusion

Pyroptosis and its mediated immune phenotype are crucial in the occurrence, development, and prognosis of asthma. The predictive models and drugs developed on the basis of PRGs may provide new solutions for the management of asthma.

Autophagy-Related Genes Are Involved in the Progression and Prognosis of Asthma and Regulate the Immune Microenvironment

Background

Autophagy has been proven to play an important role in the pathogenesis of asthma and the regulation of the airway epithelial immune microenvironment. However, a systematic analysis of the clinical importance of autophagy-related genes (ARGs) regulating the immune microenvironment in patients with asthma remains lacking.

Methods

Clustering based on the k-means unsupervised clustering method was performed to identify autophagy-related subtypes in asthma. ARG-related diagnostic markers in low-autophagy subtypes were screened, the infiltration of immune cells in the airway epithelium was evaluated by the CIBERSORT, and the correlation between diagnostic markers and infiltrating immune cells was analyzed. On the basis of the expression of ARGs and combined with asthma control, a risk prediction model was established and verified by experiments.

Results

A total of 66 differentially expressed ARGs and 2 subtypes were identified between mild to moderate and severe asthma. Significant differences were observed in asthma control and FEV1 reversibility between the two subtypes, and the low-autophagy subtype was closely associated with severe asthma, energy metabolism, and hormone metabolism. The autophagy gene SERPINB10 was identified as a diagnostic marker and was related to the infiltration of immune cells, such as activated mast cells and neutrophils. Combined with asthma control, a risk prediction model was constructed, the expression of five risk genes was supported by animal experiments, was established for ARGs related to the prediction model.

Conclusion

Autophagy plays a crucial role in the diversity and complexity of the asthma immune microenvironment and has clinical value in treatment response and prognosis.