Background The present study aims to investigate the complete long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression profiles in Intracranial aneurysm (IA) patients and controls by RNA sequencing, which reveals the lncRNA with predictive value for IA risk. Methods The comprehensive lncRNA and mRNA expression profiles were detected by RNA-Seq in human IA walls and superficial temporal arteries (STAs), followed by bioinformatics analyses, such as GO analysis, KEGG pathway analysis, and CNC network construction. Subsequently, qRT-PCR was used to profile the expression levels of selected lncRNA (lncRNA ENST000000576153, lncRNA ENST00000607042, lncRNA ENST00000471220, lncRNA ENST00000478738, lncRNA MALAT1, lncRNA ENST00000508090 and lncRNA ENST00000579688) in 30 (small) or 130 (large) peripheral blood leukocytes, respectively. Multivariate logistic regression was utilized to analyze the effects of lncRNA on IA. Receiver operating characteristic (ROC) curve was further drawn to explore the value of lncRNA in predicting IA. Results Totally 900 up-regulated and 293 down-regulated lncRNAs, as well as 1297 up-regulated and 831 down-regulated mRNAs were discovered in sequencing. Enrichment analyses revealed that they were actively involved in immune/inflammatory response and cell adhesion/extracellular matrix. Co-expression analysis and further enrichment analyses showed that five candidate lncRNAs might participate in IA’s inflammatory response. Besides, after controlling other conventional risk factors, multivariate logistic regression analysis disclosed that low expression of lncRNA ENST00000607042, lncRNA ENST00000471220, lncRNA ENST00000478738, lncRNA MALAT1 in peripheral blood leukocytes were independent risk factors for IA. LncRNA ENST00000607042 has superior diagnostic value for IA. Conclusions This study reveals the complete lncRNAs expression profiles in IA. The inflammatory response was closely related to IA. Besides, lncRNA ENST00000607042 might be a novel biomarker for IA risk.

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BACKGROUND The hospital-based Internet medical care is an online approach mode to provide health services directly from hospitals to patients, which develops rapidly in China. However, this mode is confronting new challenges and opportunities due to the prevalence of coronavirus disease 2019 (COVID-19). OBJECTIVE This study aimed to try to reflect the changing tendency of hospital-based Internet medical care in China by focusing on a large regional hospital. METHODS We employed The First Affiliated Hospital of Soochow University as the subject of this study, which ranked the 50th in the top 100 medical centers in China. Data on hospital-based Internet medical care from November 2019 to April 2020 were collected, including the volume of online appointments, online consultations, and offline consultations. And we collected the data of COVID-19 confirmed cases and deaths from January 2020 to June 2020 to correspond to the data of hospital services for research. RESULTS 632225 online appointments and 1207235 offline consultations were analyzed in hospital from November 19 to April 20. We calculated the online appointment rate, which changed in each department significantly with an upward tendency in March and April after the peak of the COVID-19 pandemic. Up to April, the department with the largest increase in online appointment rate was Nursing, and with the least increase was Rheumatology. Since the end of February, a total of 12 departments started free online consultation. Online consultations mainly focused on Otolaryngology, Endocrinology, Obstetrics, and Gynecology. CONCLUSIONS During the epidemic, though we still face various issues such as doctor scarcity and unavailability of health insurance coverage, hospital-based Internet medical care is expanding in China. The government and hospitals are creating a practical, shared medical and health information platform to combat the crisis. China’s hospital-based Internet medical care is meeting the new situation and much remains to be done.