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Background: Bibliometric analysis is a mature method for quantitative evaluation of academic productivity. In view of the rapid development of research in the field of systemic lupus erythematosus (SLE) in the past decade, we used bibliometric methods to comprehensively analyze the literature in the field of SLE from 2013 to 2022. Methods: The relevant literature in the field of SLE from 2013 to 2022 was screened in the Web of Science Core Collection database. After obtaining and sorting out the data, CiteSpace and VOSviewer software were used to visualize the relevant data, and SPSS software was used for scientific statistics. Results: A total of 18,450 publications were included in this study. The number of articles published over the past 10 years has generally shown an upward trend, while Altmetric attention scores have also shown a clear upward trend in general and in most countries. Citation analysis and Altmetric analysis can mutually prove and supplement the influence of papers. The USA, China, Japan, Italy, and the UK are the most productive countries, but China and Japan are significantly inferior to other countries in terms of research influence. Four of the top ten authors are at the center of the collaboration network. LUPUS is the most contributing journal. The theme of systemic lupus erythematosus research mainly focuses on the pathogenesis, treatment, and management of SLE, and the emerging trend is related research on machine learning and immune cells. Conclusion: This study shows the research status of SLE, clarifies the main contributors in this field, discusses and analyzes the research hotspots and trends in this field, and provides reference for further research in this field to promote the development of SLE research. Key Points • Through bibliometric analysis, Altmetric analysis, and visual analysis, we reveal the global productivity characteristics of SLE-related papers in the past 10 years. • The number of global SLE-related studies has shown a significant increase, indicating that SLE is still a hot topic and deserves further study. • Citation analysis and Altmetric analysis can mutually prove and supplement the influence of papers, and the attention of related literature among non-professional researchers is increasing. • The theme of SLE research mainly focuses on the pathogenesis, treatment, and management of SLE. The emerging trend is machine learning and immune cells, which may provide new strategies for the diagnosis and treatment of SLE in the future. [ABSTRACT FROM AUTHOR]

Idiopathic inflammatory myopathy is a multisystem autoimmune condition characterized by muscle inflammation (myositis) and interstitial lung disease (ILD). Bibliometric analysis and altmetric analysis are effective methods of evaluating academic productivity and measuring the influence of publications. The purpose of this study is to analyze the research productivity and influence of idiopathic inflammatory myopathy articles using bibliometric analysis and altmetric analysis. Data from articles published between 2011 and 2021 were obtained from the Web of Science. Altmetric attention scores and Mendeley reader counts of the articles were obtained from altmetric evaluations. In the study, 2060 articles related to idiopathic inflammatory myopathy were screened out showing an increasing trend in general. In terms of the origin countries of articles, the United States (n = 467, 22.67%) ranked first. Johns Hopkins University has the largest number of institutions (n = 113). The journals regarding idiopathic inflammatory myopathy and Rheumatology (n = 87) published the most articles. The most cited article was published by Mammen et al. and was related to autoantibodies. Dermatomyositis, polymyositis and other research hotspots were represented by keywords. The results of the altmetric analysis showed that citations, impact factors and h-index were significantly correlated with Altmetric Attention Scores and Mendeley Readers Count (P < 0.05). In summary, bibliometric analysis summarizes the current status of idiopathic inflammatory myopathy research and helps to understand the development of idiopathic inflammatory myopathy in the field between 2011 and 2021. Altmetric analysis was used to evaluate the academic and social influence of articles from the novel perspective of internet attention. [ABSTRACT FROM AUTHOR]

Background: Antiphospholipid syndrome is an autoimmune disorder characterized by recurrent vascular thrombosis and pregnancy losses in the presence of persistently positive antiphospholipid antibodies. Bibliometric analysis and altmetric analysis are methods of analyzing academic productivity and influence. Currently, the assessment of antiphospholipid syndrome through the above analyses is lacking. This study investigated the quantity and quality of studies in the field of antiphospholipid syndrome and revealed the characteristics of worldwide productivity on this disease by the bibliometric analysis and altmetric analysis. Methods: The terms "APS," "antiphospholipid syndrome," "antiphospholipid-antibody syndrome," and "Hughes syndrome" were searched on the Web of Science Core Collection from January 1, 2011, to December 31, 2021. Original articles and reviews were selected. We set the filters as "English." Results and conclusion: A total of 1818 articles were retrieved from 68 countries, of which 20 met the criteria of major active countries. High-income countries contributed 1341 articles (73.48%). The number of articles annually increased significantly in the 10-year period (P < 0.001). The USA (253, 13.91%) was the most productive country. Adjusted by population, Serbia was top of the list. According to the gross domestic product analysis, Serbia ranked first. The most used keywords such as thrombosis and antiphospholipid antibodies were presented by keywords analyses. A content analysis found antithrombotic and anticoagulant therapy as research hotspots. A significant correlation was detected between average citations and altmetric attention scores (P = 0.002) and Mendeley readers count (P < 0.001). From 2011 to 2021, the number of global articles increased rapidly. Most papers came from high-income countries. The relationship between the bibliometric and altmetric analyses were basically consistent; therefore the two can prove/complement each other. Key points • We revealed the global productivity characteristics of the papers related to antiphospholipid syndrome by using the methods of bibliometric analysis and altmetric analysis. • We found the most selected articles that describe the treatment of antiphospholipid syndrome, especially antithrombotic and anticoagulant treatments, which may be the current research hotspot. [ABSTRACT FROM AUTHOR]

An in-depth understanding of the lung microbiota in tuberculosis (TB) infection could provide optimal strategies for the prophylaxis, diagnosis, and treatment of the disease. Only a few studies have investigated the impact of Mycobacterium tuberculosis (Mtb) infection and anti-TB treatment on the lung microbiota. Bronchoalveolar lavage fluid and blood samples were collected from 23 active TB patients (TBZ), 17 latent tuberculosis infection patients (LTBI), 13 healthy controls (HC), and 14 active TB patients with 1-month anti-TB therapy (TBM) for 16S RNA sequencing and serological indexes, respectively. Low body mass index, albumin, and total triglyceride levels were detected in TBZ. Pulmonary Mtb infection led to a minor decrease in the alpha diversity of the lung microbiota in TBZ than HC, but a significant difference was noted in beta diversity. Subsequently, anti-TB therapy caused a rapid alteration in the lung community structure due to reduced alpha and beta diversity. Proteobacteria were abundant in TBZ samples, while Firmicutes was predominant in the LITB and HC samples. Lactobacillus and Subdoligranulum (genera) were the most unique in the LTBI and HC group, respectively. The TBM group showed the most predominant abundance of Bacteroides, Oscillospira, and Ruminococcus (genera). Functional pathways, such as indole alkaloid biosynthesis, Wnt signaling pathway, endocytosis, and metabolism of xenobiotics by cytochrome P450, significantly decreased in the TBM group compared with TBZ group. Pulmonary TB and anti-TB treatment caused a distinct dysbiosis of the lung microbiome. The current findings suggested potential links between the lung microbiota and TB onset, progression, and treatment. [ABSTRACT FROM AUTHOR]

Using the lignocellulosic biomass materials to produce wood (wood fibers/natural fibers) plastic composites (WPCs) is one of the most environmentally friendly and economical ways to solve the residuals of biorefineries. In this study, tropical maize bagasse (TMB), sweet sorghum bagasse (SSB) and sugarcane bagasse (SCB), the solid residuals from bio-ethanol plants, were used as the reinforcement phase in the production of WPCs. The mechanical, thermal and accelerated weathering behaviors of WPCs were evaluated. The experimental results indicated that the TMB reinforced composites showed better mechanical properties, with tensile strength and flexural strength of 26.8 ± 3.4 and 46.1 ± 3.1 MPa, respectively. Moreover, the retention ratios of the rupture modulus and the elasticity modulus of the SSB reinforced composites were the highest among the three groups after multigelation and 2000 h of xenon lamp weathering, which were reached 84.9 ± 6.7 and 76.0 ± 4.4%, and 76.1 ± 4.7 and 69.4 ± 2.9%, respectively. The production of WPCs reinforced by solid residuals showed potential in connecting with the biorefinery plants. [ABSTRACT FROM AUTHOR]

In this study, aiming to improve the economic feasibility of acetone-butanol-ethanol (ABE) fermentation process, generate valuable products and extend the product chain, esterification catalyzed by Candida sp. 99-125 cells was hybrid with the ABE fermentation-gas-stripping integration system. The gas-stripping condensate that contained concentrated ABE products was directly used for esterification without the participation of toxic organic solvents. Full-cell catalysis temperature and the cell dosage rate on oleate production were evaluated and optimized in the esterification process. Under the optimized conditions (35 °C, 8% of cells), ~ 68% of butyl oleate and ~ 12% of ethyl oleate were obtained after 4 h of esterification. The Candida sp. 99-125 cells were able to be reused for at least four cycles. The novel cascade process showed environmental benefits, which also showed promising in improving the economic feasibility of the conventional ABE fermentation process. [ABSTRACT FROM AUTHOR]

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell technologies. We further demonstrate its utility for understanding myoblast differentiation and disentangling known heterogeneity in hematopoiesis for different organisms. STREAM is an open-source software package. The increasing accessibility of single cell omics technologies beyond transcriptomics demands parallel advances in analysis. Here, the authors introduce STREAM, a pipeline for reconstruction and visualization of differentiation trajectories from both single-cell RNA-seq and ATAC-seq data. [ABSTRACT FROM AUTHOR]