[Metabolomics analysis identifies serum glycerophospholipid expression: a comparison between men and women with asthma].

Objective: To determine whether asthma has a different metabolic glycerophospholipid profile in serum between women and men with asthma. Methods: Fifty-one outpatients with asthma (17 men, 34 women) were enrolled from Peking University Third Hospital from Jan 2015 to Dec 2015. Clinical data such as gender, age, body mass index, pulmonary function were recorded. Glycerophospholipid profile were measured in serum using liquid chromatography-mass spectrometry (LC-MS)-based metabolomics analysis. Projections to latent structures-discriminate analysis (PLS-DA) was used to compare the differences of glycerophospholipid level between men and women. Receiver Operating Characteristic (ROC) Curve was established from men and women. Results: Significantly different glycerophospholipid level were confirmed quantitatively between women and men. Levels of phosphatidylethanolamine (PE), phosphatidylcholine acetal phospholipid (PCP), lysophosphatidyl ethanolamine (LPE), alkyl phosphatidylethanolamine [PE(O)] were significantly higher in women relative to men [PE36: 2, PCP32: 1, LPE18: 0, and PE(O40: 7) was 0.050 (0.037, 0.079) vs 0.043 (0.000, 0.071), 0.057 (0.035, 0.727) vs 0.034 (0.000, 0.057), 0.233 (0.129, 0.390) vs 0.126 (0.075, 0.212), 0.007(0.000, 0.041) vs 0.000 (0.000, 0.000), respectively, all P<0.05). Levels of lysophosphatidylcholine (LPC), lysophosphatidylserine (LPS), and lysophosphatidylphosphatidylcholine [LPC(O)] were significantly lower in women compared to men [Levels of LPS22: 6, LPS20: 4, and LPS18: 1 were 0.000(0.000, 0.003) vs 0.009(0.000, 0.012), 0.015(0.010, 0.026) vs 0.047(0.022, 0.081), 0.008(0.003, 0.179) vs 0.020(0.008, 0.040), respectively, all P<0.05]. Area Under ROC Curve (AUC) of LPS (LPS20: 4) was 0.814. Conclusions: Glycerophospholipid levels in serum are significantly different between women and men asthmatic patients. LPS may contribute to gender based differences in asthmatics.

[Airway inflammation and small airway wall remodeling in neutrophilic asthma].

OBJECTIVE: To investigate the distribution of airway inflammation phenotype in patients with bronchial asthma (asthma), and to analyze clinical characteristics, inflammatory cytokines, pulmonary small vessels remodeling and small airway wall remodeling in patients with neutrophilic asthma. METHODS: Sixty-three patients with asthma were enrolled from January 2015 to December 2015 in Peking University Third Hospital. Clinical data including gender, age, body mass index (BMI), pulmonary function tests (PFTs), asthma control test (ACT) were recorded. All the patients underwent sputum induction. The cellular composition of the sputum was evaluatedand the concentration of active MMP-9 in the sputum tested. Blood routine tests were done and the concentration of IgE, periostin, and TGF-beta1 levels were measured in serum by enzyme-linked immunosorbent assay (ELISA). Small airway wall remodeling was measured in computed tomography (CT) scans, as the luminal diameter, luminal area, wall thickness and wall area % adjusted by body surface area (BSA) at the end of the 6th generation airway, in which the inner diameter was less than 2 mm. Small vascular alterations were measured by cross-sectional area (CSA), and the total vessel CSA < 5 mm2 was calculated using imaging software. RESULTS: The distributions of airway inflammatory phenotypes of the asthmatic patients were as follows: neutrophilic asthma (34.9%, 22/63), eosinophilic asthma (34.9%, 22/63), mixed granulocytic asthma (23.8%, 15/63), and paucigranulocytic asthma (6.3%, 4/63). The neutrophilic subtype patients had a significantly higher active MMP-9 level in sputum compared with the eosinophilic phenotypepatuents, as 179.1 (74.3, 395.5) vs. 50.5 (9.7, 225.8), P<0.05. Sputum neutrophil count was negatively correlated with FEV1%pred (r=-0.304,P<0.05), and positively correlated with active MMP-9 level in sputum (r=-0.304, P<0.05), and positive correlation trend with airway wall thickness (r=0.533, P=0.06). There was a significantly negative correlation of active MMP-9 level in sputum with FEV1%pred (r=-0.281, P<0.05), in positive correlation with small airway wall area (%)(r=0.612, P<0.05), and inpositive correlation trend with airway wall thickness (r=0.612, P=0.06). Neutrophils count in peripheral blood was positively correlated with neutrophil counts in sputum. CONCLUSION: Neutrophil count in airway is related to lung function in asthmatic patients. Neutrophils may accelerate small airway wall remodeling through the release of active MMP-9. Neutrophil count in peripheral blood is related to neutrophils count in sputum, which may be used as a substitute for evaluating inflammatory phenotype.