Ccrl2-centred immune-related lncRNA-mRNA co-expression network revealed the local skin immune activation mechanism of moxibustion on adjuvant arthritis mice.

BACKGROUND: Moxibustion is an important external therapy of traditional medicine that operates on some acupoints on the skin and is usually used for immune-related diseases. However, whether the immune function of the skin, especially the immune-related lncRNAs, contributes to the mechanism of moxibustion remains unclear. METHODS: Adjuvant arthritis (AA) was induced by injection of Complete Freund's adjuvant (CFA) into the right hind paw of mice. Moxibustion was administered on the Zusanli (ST36) acupoint for 3 weeks. The alteration of foot volume and cytokine concentration in serum was used to evaluate the anti-inflammation effect of moxibustion. CD83 expression in the local skin of ST36 was measured by immunofluorescence staining. Transcriptome RNA sequencing (RNA-seq) and lncRNA-mRNA network analysis were performed to construct a moxibustion-induced Immune-related lncRNA-mRNA co-expression network. qRT-PCR was used to validate the RNA-seq data. RESULTS: Moxibustion at ST36 relieved the foot swelling, decreased the TNF-α and IL-1ß concentrations in serum, and obviously increased the CD83 expression at the local skin of ST36. A total of 548 differentially expressed lncRNAs and 520 linked mRNAs were screened out. The significantly and predominately enriched Go term was inflammatory and immune response, and the main pathways related to inflammatory and immune responses include Toll-like receptor, cytokine-cytokine receptor, and MAPK signaling. The immune-related lncRNA-mRNA co-expression network showed 88 lncRNAs and 36 mRNAs, and Ccrl2 is the central hub of this network. CONCLUSION: Local immune activation is significantly triggered by moxibustion in ST36 of AA mice. The Ccrl2-centered immune-related lncRNA-mRNA co-expression network would be a promising target for decoding the mechanism of moxibustion for immune-related diseases.

COVID-19 as an opportunity to reveal the impact of large hospital expansion on the healthcare delivery system: evidence from Shanghai, China.

BACKGROUND: The expansion of large hospitals on the medical service market's supply side has always been an intensely debated topic. In this study, we conducted statistical analysis on the natural shock of COVID-19 to investigate whether the large hospitals will draw health demand from the small hospitals when a supply capacity surplus is present, a phenomenon otherwise known as the "siphon effect". METHODS: We collected the monthly hospital income and service data, including outpatient income, inpatient income, number of visits, and discharges, from all public hospitals, from January 2018 to July 2020 in Shanghai. A difference-in-differences (DIDs) method was applied to analyze the existence of the large hospitals' siphon effect by identifying the differences in the healthcare service market share change between large and small hospital groups at the height of pandemic (February and March, 2020) and the postpandemic period (April and May, 2020). Case mix index (CMI) was used to verify whether the reduction in healthcare amount and market share of small hospitals was due to unnecessary care. RESULTS: In total, 156 public hospitals, including 46 large hospitals and 110 small hospitals, with an average number of beds of 1,079.21 and 345.25, respectively, were involved in this study. At the height of the pandemic, the healthcare service volume and revenue in public hospitals in Shanghai experienced a sharp decline, especially for large hospitals and inpatient services. Compared to small hospitals at the height of the COVID-19 pandemic, large hospitals' market share decreased significantly in outpatient and inpatient services for overall and nonlocal patients (P<0.05). During the postpandemic period, large hospitals' market share increased significantly in outpatient and inpatient services for overall and local patients (P<0.05). This increase was more substantial in inpatient services. CONCLUSIONS: Under conditions of the COVID-19 pandemic of higher care-seeking costs in the large hospitals, some of the healthcare services typically provided by large hospitals were then supplied by small hospitals. Furthermore, the siphon effect of large hospitals could be clearly observed when a supply capacity surplus was present and external constraint on patients' care-seeking behavior was absent.