OBJECTIVE: To investigate the psychological statuses of Chinese adults with moderate-to-severe persistent allergic rhinitis, and evaluate the effects of nasal symptoms on their psychological statuseses. METHOD: The Symptom Checklist-90 (SCL-90) or self-reporting Inventory was employed to analyze the psychological statuses of 539 adults with moderate-to-severe persistent allergic rhinitis. RESULT: The SCL-90 scores of the adults with moderate-to-severe persistent allergic rhinitis were statistically higher than those of non-allergic adults in terms of somatization, depression, anxiety and hostility. No statistical discrepancies existed in gender or age. The course of disease contributed to somatization and compulsion. The effects of nasal symptoms included two aspects: nasal obstruction had a conspicuous impact on somatization, compulsion, interpersonal sensitivity, depression, anxiety and psychosis, while nasal itching contributed to somatization, depression and anxiety. CONCLUSION The psychological statuses of adults with moderate-to-severe persistent allergic rhinitis is evidently worse than that of non-allergic adults. Symptoms such as nasal obstruction and itching had an obvious impact on outpatients' psychological statuses.
Adult ; Humans ; Nasal Obstruction ; Rhinitis, Allergic, Perennial ; diagnosis ; psychology

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.