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Background Recently, researchers have proposed a possible relationship between RA and the microbiome of the oral cavity and gut. However, this relation has not been systematically established. Herein, we conducted a comprehensive review of the pertinent literature to describe this possible association. Methods We systematically performed searches in databases, namely EMBASE, the Cochrane Library, and PubMed, from inception to 7 June 2020 to identify case–control studies that compared the oral and gut microbiome in adult RA patients with those of controls. The primary outcome was specific bacterial changes between RA and controls. The secondary outcome was microbial diversity changes between RA and controls. Results In total, 26 articles were considered eligible for inclusion and reported some differences. Therein, ≥3 articles reported decreased Faecalibacterium in the gut of early-RA (ERA)/RA patients compared with healthy controls (HCs). Also, ≥3 articles reported decreased Streptococcus and Haemophilus and increased Prevotella in the oral cavity of ERA/RA patients compared with HCs. In addition, some Prevotella species, including P. histicola and P. oulorum, showed increased trends in RA patients’ oral cavity, compared with HCs. The α-diversity of the microbiome was either increased or not changed in the oral cavity of RA patients, but it was more commonly either decreased or not changed in the gut of RA patients. Conclusions In this systematic review, we identified the microbiome associated with RA patients in comparison with controls. More research is needed in the future to find the deep relationship between RA and the microbiome.

Objective At present, current didactic teaching delivery method help nursing students apply theory to clinical situations in an inefficient way. The flipped classroom (FC), a novel teaching mode emphasizing self-study and critical thinking, has generated interest in nursing education in China. However, there are a gap in the literature and no consistent outcomes of current studies which compared FC and lecture-based learning (LBL), and no systematic review has comprehensively compared theoretical scores as an affected outcome in FC versus LBL modes. Methods In this review, we analyze flipped-learning nursing students' scores, and aim to assess the efficacy and provide a deeper understanding of the FC in nursing education. Following the inclusion criteria, articles were obtained by searching PubMed, Embase and Chinese data, including the China National Knowledge Infrastructure, Wanfang Data, and VIP database until 3 January 2020. Data were extracted from eligible articles and quality was assessed. A meta-analysis was then performed using a random effects model with a standardized mean value (SMD) and a 95% confidence interval (CI).32 studies were included after reviewing 2,439 citations. All studies were randomized controlled trials (RCTs). The FC theoretical knowledge scores in FC were significantly positively affected compared to those of the traditional classroom (SMD = 1.33, 95% CI: 1.02-1.64; P < 0.001). In addition, 23 studies reported skill scores, indicating significant difference between the FC mode and LBL mode (SMD = 1.58, 95%CI: 1.23-1.93; P < 0.001). Conclusions The results of this meta-analysis suggest that compared to the LBL teaching method, the FC mode dose significantly improve Chinese nursing students' theoretical scores. However,

Objective: The coronavirus disease 2019 outbroke in Wuhan, Hubei Province, China, affecting more than 200 countries and regions. This study aimed to predict the development of the epidemic with specific interventional policies applied in China and evaluate their effectiveness.Methods: COVID-19 data of Hubei Province and the next five most affected provinces were collected from daily case reports of COVID-19 on the Health Committee official website of these provinces. The number of current cases, defined as the number of confirmed cases minus the number of cured cases and those who have died, was examined in this study. A modified Susceptible-Exposed-Infectious-Removed (SEIR) model was used to assess the effects of interventional policies on the epidemic. In this study, January 28 was day zero of the model. Results:The results of the modified SEIR model showed that the number of current cases in Hubei and Zhejiang provinces tended to be stabilized after 70 days and after 60 days in the four other provinces. The predicted number of current cases without policy intervention was shown to far exceed that with policy intervention. The estimated number of COVID-19 cases in Hubei Province with policy intervention was predicted to peak at 51,222, whereas that without policy intervention was predicted to reach 157,721. Conclusion:Based on the results of the model, strong interventional policies were found to be vital components of epidemic control. Applying such policies is likely to shorten the duration of the epidemic and reduce the number of new cases. This article is

Immunoglobulin E (IgE)-mediated allergic diseases, including eczema, atopic dermatitis (AD), and allergic rhinitis (AR), have increased prevalence in recent decades. Recent studies have proved that environmental pollution might have correlations with IgE-mediated allergic diseases, but existing research findings were controversial. Thus, we performed a comprehensive meta-analysis from published observational studies to evaluate the risk of long-term and short-term exposure to air pollutants on eczema, AD, and AR in the population (per 10-μg/m 3 increase in PM 2.5 and PM 10 ; per 1-ppb increase in SO 2 , NO 2 , CO, and O 3 ). PubMed, Embase, and Web of Science were searched to identify qualified literatures. The Cochran Q test was used to assess heterogeneity and quantified with the I 2 statistic. Pooled effects and the 95% confidence intervals (CIs) were used to evaluate outcome effects. A total of 55 articles were included in the study. The results showed that long-term and shortterm exposure to PM 10 increased the risk of eczema (PM 10 , RR long = 1.583, 95% CI: 1.328, 1.888; RR short = 1.006, 95% CI: 1.003-1.008) and short-term exposure to NO 2 (RR short = 1.009, 95% CI: 1.008-1.011) was associated with eczema. Short-term exposure to SO 2 (RR short : 1.008, 95% CI: 1.001-1.015) was associated with the risk of AD. For AR, PM 2.5 (RR long = 1.058, 95% CI: 1.014-1.222) was harmful in the long term, and short-term exposure to PM 10 (RR short : 1.028, 95% CI: 1.008-1.049) and NO 2 (RR short : 1.018, 95% CI: 1.007-1.029) were risk factors. The findings indicated that exposure to air pollutants might increase the risk of IgE-mediated allergic diseases. Further studies are warranted to illustrate the potential mechanism for air pollutants and allergic diseases.

Background Currently, few studies focus on the association between gut microbiota and systemic lupus erythematosus (SLE), and much less studies consider the effect of drug usage. Proton pump inhibitors (PPIs) are commonly used to treat drug-related gastrointestinal damage in SLE patients. Therefore, the purpose of this study is to examine the gut microbiota of SLE patients using PPIs. Methods Fecal samples from 20 SLE patients with PPIs (P-SLE), 20 SLE patients without PPIs (NP-SLE) and 17 healthy controls (HCs) were obtained. The structure of the bacterial community in the fecal samples was analyzed by 16S rRNA gene sequencing. Redundancy analysis (RDA) was performed to observe the relationship between clinical variables and microbiome composition in P-SLE and NP-SLE patients. Based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, functional capabilities of microbiota were estimated. Network analysis was performed to analyze the association of metabolic pathway alterations with altered gut microbiota in P-SLE and NP-SLE patients. Results P-SLE patients exhibited increased alpha-diversity and an altered composition of the gut microbiota compared with NP-SLE patients. The alpha-diversity of NP-SLE patients was significantly lower than HCs but also of P-SLE patients, whose alpha-diversity had become similar to HCs. Compared with NP-SLE patients, the relative abundances of Lactobacillus, Roseburia, Oxalobacter, and Desulfovibrio were increased, while those of Veillonella, Escherichia, Morganella, Pseudomonas and Stenotrophomonas were decreased in P-SLE patients. RDA indicated that PPI use was the only significant exploratory variable for the microbiome composition when comparing SLE patients. KEGG analysis showed that 16 metabolic pathways were significantly different between NP-SLE and P-SLE patients. These metabolic pathways were mainly associated with changes in Escherichia, Roseburia, Stenotrophomonas, Morganella and Alipipes as determined by the network analysis. Conclusions PPI use is associated with an improved microbiome composition of SLE patients as it 1) increases alpha-diversity levels back to normal, 2) increases the abundance of various (beneficial) commensals, and 3) decreases the abundance of certain opportunistic pathogenic genera such as Escherichia. Validation studies with higher patient numbers are however recommended to explore these patterns in more detail.

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Objective The skin is the second most affected organ after articular involvement in systemic lupus erythematosus (SLE) patients. Cutaneous involvement occurs in approximately 80% of patients during the course of SLE. Interaction between the host and skin microorganism is a complex process. There are few studies on the diversity of skin microbes in SLE patients. Therefore, this study aims to explore the relationship between skin microorganisms and SLE. Methods A total of 20 SLE patients, 20 controls with rosacea and 20 healthy controls were selected as study subjects. Both the skin microbiota of rash region and non-rash region for each SLE patient were collected.16S rRNA gene sequencing was used to detected skin microbiota from 80 specimens. α-Diversity and β-diversity of skin microbiota were analyzed based on operational taxonomic units (OTUs) and minimal entropy decomposition (MED). Using Wilcoxon test and Linear Discriminate Analysis Effect Size (LEfSe), skin microbial diversity and composition were analyzed. Functional capabilities of microbiota were estimated through Kyoto Encyclopedia of Genes and Genomes database. Results Compared to rash region of SLE, diversity and richness were increased in healthy controls, and decreased in non-rash region of SLE and rash region of controls with rosacea. Additionally, changes of skin microbial composition were found at different taxonomic levels between four groups. For example, genus Halomonas was increased and genera Pelagibacterium, Novosphingobium, and Curvibacter were decreased in rash region compared to non-rash region of SLE based on OTUs and MED. Based on OTUs, metabolic pathways were also found differences in SLE patients, such as Xenobiotics Biodegradation and Metabolism. Conclusion Compositions and diversity of skin microbiota in SLE patients are changed. This pilot study provides some suggestive evidence for further exploration of skin microbiota in SLE patients with cutaneous involvement.