The objective of this study was to determine the efficacy and safety of frequently inhaled nebulized hypertonic saline (HS) in infants with moderate to severe bronchiolitis. One hundred and twenty-six infants were randomized to receive either nebulized 3% hypertonic saline (HS) or 0.9% normal saline (NS), but only 112 patients completed the whole study. Cough, wheezing, pulmonary physical signs, clinical severity scores and the hospital length of stay (LOS) were recorded. The wheezing remission time was 4.8 ± 1.0 days in the NS group and 3.6 ± 0.9 days in the HS group (p <0.01). The cough remission time was 5.5 ± 0.9 days in the NS group and 4.3 ± 0.7 days in the HS group (p <0.01). The moist crackles disappeared at 6.2 ± 0.7 days in the NS group and at 4.4 ± 0.9 days in the HS group (p <0.01). The clinical severity scores decreased more significantly in the HS group than in the NS group on each day within 96 h after enrolment (p <0.01). The LOS decreased from 6.4 ± 1.4 days in the NS group to 4.8 ± 1.2 days in the HS group (p <0.01). The treatment was well tolerated, with no adverse effects attributable to nebulized HS. The conclusions are that frequently inhaled HS relieved symptoms and signs faster than NS, and shortened LOS significantly for infants with moderate to severe bronchiolitis, without apparent adverse effects.

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Parkinson's disease (PD) is a common neurodegenerative disease in the elderly with a pathogenesis that remains unclear. We aimed to explore its pathogenesis through plasma integrated metabolomics and proteomics analysis. The clinical data of consecutively recruited PD patients and healthy controls were assessed. Fasting plasma samples were obtained and analyzed using metabolomics and proteomics methods. After that, differentially expressed metabolites and proteins were identified for further bioinformatics analysis. No significant difference was found in the clinical data between these two groups. Eighty-three metabolites were differentially expressed in PD patients identified by metabolomics analysis. These metabolites were predominately lipid and lipid-like molecules (63%), among which 25% were sphingolipids. The sphingolipid metabolism pathway was enriched and tended to be activated in the following KEGG pathway analysis. According to the proteomics analysis, forty proteins were identified to be differentially expressed, seven of which were apolipoproteins. Furthermore, five of the six top ranking Gene Ontology terms from cellular components and eleven of the other fourteen Gene Ontology terms from biological processes were directly associated with lipid metabolism. In KEGG pathway analysis, the five enriched pathways were also significantly related with lipid metabolism (p < 0.05). Overall, Parkinson's disease is associated with plasma lipid metabolic disturbance, including an activated sphingolipid metabolism and decreased apolipoproteins.

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Depression is a common comorbidity in Parkinson's disease (PD) but is underdiagnosed. We aim to investigate the altered metabolic pathways of Parkinson's disease-related depression (PDD) in plasma and to identify potential biomarkers for clinical diagnosis. Consecutive patients with PD were recruited, clinically assessed, and patients with PDD identified. Fasting plasma samples were collected from 99 patients and differentially expressed metabolites and proteins between patients with PDD and PD were identified using non-targeted liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and tandem mass tag (TMT)-based proteomics analysis, followed by an integrated analysis. Based on the above results, enzyme-linked immune sorbent assay (ELISA) tests were then performed to identify potential biomarkers for PDD. In clinics, patients with PDD suffered less hypertension and had lower serum low-density lipoprotein cholesterol and apolipoprotein B levels when compared to the other patients with PD. A total of 85 differentially expressed metabolites were identified in metabolomics analysis. These metabolites were mainly lipids and lipid-like molecules, involved in lipid and glucose metabolic pathways. According to proteomics analysis, 17 differentially expressed proteins were identified, and 12 metabolic pathways were enriched, which were predominantly related to glucose metabolism. Integrated analysis indicated that altered lipid and glucose metabolism in PDD may induce cellular injury through oxidative stress. Additionally, plasma levels of several proteins were confirmed to be significantly altered and correlated with depressive severity. NOTCH2 may be a potential blood biomarker for PDD, with an optimal cut-off point of 0.91 ng/ml, a sensitivity value of 95.65%, and a specificity value of 81.58%. Depressive symptoms are associated with lipid and glucose metabolism in patients with PD and NOTCH2 may be a potential blood biomarker for the clinical diagnosis of PDD.