Research hotspots and trends of artificial intelligence in rheumatoid arthritis: A bibliometric and visualized study.

Artificial intelligence (AI) applications on rheumatoid arthritis (RA) are becoming increasingly popular. In this bibliometric study, we aimed to analyze the characteristics of publications relevant to the research of AI in RA, thereby developing a thorough overview of this research topic. Web of Science was used to retrieve publications on the application of AI in RA from 2003 to 2022. Bibliometric analysis and visualization were performed using Microsoft Excel (2019), R software (4.2.2) and VOSviewer (1.6.18). The overall distribution of yearly outputs, leading countries, top institutions and authors, active journals, co-cited references and keywords were analyzed. A total of 859 relevant articles were identified in the Web of Science with an increasing trend. USA and China were the leading countries in this field, accounting for 71.59% of publications in total. Harvard University was the most influential institution. Arthritis Research & Therapy was the most active journal. Primary topics in this field focused on estimating the risk of developing RA, diagnosing RA using sensor, clinical, imaging and omics data, identifying the phenotype of RA patients using electronic health records, predicting treatment response, tracking the progression of the disease and predicting prognosis and developing new drugs. Machine learning and deep learning algorithms were the recent research hotspots and trends in this field. AI has potential applications in various fields of RA, including the risk assessment, screening, early diagnosis, monitoring, prognosis determination, achieving optimal therapeutic outcomes and new drug development for RA patients. Incorporating machine learning and deep learning algorithms into real-world clinical practice will be a future research hotspot and trend for AI in RA. Extensive collaboration to improve model maturity and robustness will be a critical step in the advancement of AI in healthcare.

An Overview of Systematic Reviews and Meta-Analyses of Clinical Studies of Acupuncture for Cancer Pain.

BACKGROUND: Systematic reviews (SRs) and meta-analyses (MAs) for the use of acupuncture for cancer pain have been increasing, but the evidence has not been systematically and comprehensively assessed. We aimed to perform an overview of the evidence quality of SRs/MAs of acupuncture for improving cancer pain. METHODS: 8 databases were systematically searched to identify SRs/MAs of acupuncture for improving cancer pain. The A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR-2), Risk of Bias in Systematic Reviews (ROBIS), Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), and Grades of Recommendations, Assessment, Development, and Evaluation (GRADE), respectively, were applied by 2 independent reviewers to evaluate the methodological quality, risk of bias, reporting quality, and evidence quality. RESULTS: A total of 14 SRs/MAs were included in the present study. By AMSTAR-2, two reviews were rated as having high methodological quality, while 12 were given a critically low rating. All SRs/MAs in Phase 1, Domain 1, and Domain 4, according to ROBIS, were at low risk. Furthermore, 4 reviews in Domain 2, twelve reviews in Domain 3, and ten SRs/MAs in Phase 3, were rated as having low risk of bias. With reporting quality, some reporting flaws were identified in the topic of protocol and registration, additional analyses, and search strategy. According to GRADE, the level of evidence quality was "critically low" to "moderate," and risk of bias was the most common downgraded factor. CONCLUSION: Acupuncture may be beneficial in improving cancer pain. However, due to the identified limitations and inconsistent findings, we recommend further rigorous, and more standardized SRs/MAs to provide strong evidence for definitive conclusions.

Efficacy and safety of TCMs with anti-inflammatory effect in patients with rheumatoid arthritis: A network meta-analysis.

Background: Traditional Chinese medicines (TCMs), such as Tripterygium wilfordii Hook F (TwHF), Glycyrrhiza uralensis, Caulis sinomenii and others have anti-inflammatory effects. They are widely used in China to treat rheumatoid arthritis (RA), but proof of their use as an evidence-based medicine is little. The aim of this network meta-analysis (NMA) was to evaluate the efficacy and safety of TCMs. Methods: By searching online databases and using a manual retrieval method, randomized controlled trials (RCTs) that met specific selection criteria were included in the meta-analysis. The search included papers that were published between the establishment of the databases and November 10, 2022. Analyses were performed using Stata software (version 14) and Review Manager (version 5.3). Results: 61 papers with 6316 subjects were included in the current NMA. For ACR20, MTX plus SIN therapy (94.30%) may be a significant choice. For ACR50 and ACR70, MTX plus IGU therapy (95.10%, 75.90% respectively) performed better than other therapies. IGU plus SIN therapy (94.80%) may be the most promising way to reduce DAS-28, followed by MTX plus IGU therapy (92.80%) and TwHF plus IGU therapy (83.80%). In the analysis of the incidence of adverse events, MTX plus XF therapy (92.50%) had the least potential, while LEF therapy (22.10%) may cause more adverse events. At the same time, TwHF therapy, KX therapy, XF therapy and ZQFTN therapy were not inferior to MTX therapy. Conclusions: TCMs with anti-inflammatory effect were not inferior to MTX therapy in the treatment of RA patients. Combining with TCMs can improve the clinic efficacy and reduce the possibility of adverse events of DMARDs, which may be a promising regimen. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022313569.

Two new cytochalasins from the endophytic fungus Xylaria sp. GDGJ-77B.

Two new open-chain cytochalasins, xylarchalasins A and B (1 and 2), together with six known analogues (3-8), were isolated from the endophytic fungus Xylaria sp. GDGJ-77B from the Chinese medicinal plant Sophora tonkinensis. Their structures were elucidated on the basis of comprehensive spectroscopic analysis. Compound 2 displayed moderate antibacterial activities against Bacillus subtilis and Escherichia coli with MIC values of 25 and 12.5 µg/mL, respectively.

Cycloaspeptide H, a cyclopentapeptide from the endophytic fungus Penicillium virgatum.

One new cyclopentapeptide, cycloaspeptide H (1), featuring a serine residue, along with seven known compounds (2-8), was isolated from the endophytic fungus Penicillium virgatum GDGJ-227. The planar structure of 1 was elucidated by a comprehensive analysis of NMR and MS spectroscopic spectra, and the absolute configuration was determined by single-crystal X-ray diffraction (Cu Kα) analysis. Compounds 7 and 8 displayed antibacterial activities against Bacillus subtilis and Enterobacter aerogenes with MIC values ranging from 12.5 to 50 µg/mL.

A Systematic Review and Network Meta-Analysis about the Efficacy and Safety of Tripterygium wilfordii Hook F in Rheumatoid Arthritis.

Objective: This study aims to evaluate the efficacy of various conventional synthetic DMARDs, including Tripterygium wilfordii Hook F (TwHF) for treating rheumatoid arthritis (RA) by network meta-analysis. Methods: We retrieved the related literature from online databases and supplemented it by using a manual retrieval method. Data was extracted from the literature and analyzed with STATA software. Results: A total of 21 trials (5,039 participants) were identified. Assessment of ACR20 response found that TwHF combined with methotrexate (MTX) had the greatest probability for being the best treatment option among the treatments involved, while TwHF used singly was second only to TwHF combined with MTX. Assessment of ACR50 response found that TwHF combined with MTX ranked second in all treatment options after cyclosporine A (CsA) combined with leflunomide (LEF) and TwHF alone, followed by TwHF combined with MTX. Assessment of ACR70 response found that CsA combined with LEF ranked first, TwHF combined with LEF ranked second, TwHF combined with MTX ranked third, and TwHF used singly ranked fourth. In the safety analysis, TwHF had the least probability of adverse event occurrence, followed by TwHF combined with MTX, which ranked first and second, respectively. Conclusion: Compared with the current csDMARDs for treating RA, the efficacy of TwHF was clear, and TwHF combined with MTX performed well under various endpoints. In the future, large, rigorous, and high-quality RCTs are still needed to confirm the benefits of TwHF therapy on RA.

Gate-tunable trion binding energy in monolayer MoS2 with plasmonic superlattice.

Two-dimensional transition metal dichalcogenides exhibit promising potential and attract the attention of the world in the application of optoelectronic devices owing to their distinctive physical and chemical properties. The real-time control of light-matter interactions in semiconductor devices through an external optical resonant cavity is crucial for designing next-generation optoelectronic devices. Here, we report the spectroscopic identification of trion binding energy in monolayer MoS2 field-effect transistors with plasmonic nanoresonators. In consequence, the binding energy could be regulated dynamically through an external electric field. In addition, after increasing the carrier injection, the evidence of the enhanced trion binding energy can also be observed, which can be utilized for researching magneto-plasmons. The ability to dynamically control the optical properties by electrostatic doping opens a platform for designing next-generation optoelectronic and valleytronic applications in two-dimensional crystals with accurate and precise tailored responses.

Broadband visible-light absorber via hybridization of propagating surface plasmon.

We demonstrate a broadband visible-light absorber based on excitation of multiple propagating surface plasmon (PSP) resonances. The simple structure is constructed of continuous gold/silica multi-layers covered by a one-dimensional gold grating. The broadening of bandwidth arises from the inter-layer hybridization and spectral superposition of PSPs, which is predicted with the analytical coupled oscillator model and validated using the RCWA simulation. The average absorption increases with the number of gold/silica pairs and exceeds 95% over the whole visible spectrum when only five pairs are included. Moreover, results show that the absorption can be further enhanced by grading the thickness of silica layers. The presented design might enable promising applications in the fields of photovoltaic cells and thermal emitters, owing to its advantages of wideband, near-unity absorption and simple fabrication simultaneously.

Tumor cell-targeted Zn3In2S6 and Ag-Zn-In-S quantum dots for color adjustable luminophores.

We present a hydrothermal approach for the preparation of biocompatible and high-quality Zn3In2S6 (ZIS) quantum dots (QDs) in the presence of glutathione (GSH) as a stabilizer at different reaction temperatures. The as-prepared QDs exhibited small particle diameters (from 3.3 to 7.5 nm) with a hexagonal structure and size-dependent optical properties. The combination of the pH value and the amount of GSH played a crucial role in the enhancement of PL intensity. After the incorporation of Ag via cation exchange, the obtained Ag-Zn-In-S (AZIS) QDs demonstrated both red-shifted photo-luminescence (PL) emission and higher quantum yield. Furthermore, based on the investigations of PL lifetimes and excitation intensity-dependent PL spectra, we concluded that PL emission of ZIS QDs originated from shallow donor-acceptor (D-A) pair recombination, and intrinsic trap state-related deep D-A pair transition dominated the main emission of AZIS QDs. Furthermore, the biocompatible AZIS QDs with high quantum yield were applied to targeted labeling and imaging in the cytoplasm of hepatocellular carcinoma cells, indicating their promising applications in single-cell monitoring.

A reticulate superhydrophobic self-assembly structure prepared by ZnO nanowires.

A simple hydrothermal self-assembly method was adopted to grow a newly reported superhydrophobic reticulate ZnO film with papillary nodes. The formation mechanism has also been explained by the tension junction model. This structure can extremely enhance the dewettability for the surface modification with low-surface-energy materials such as long chain fluorinated organic compounds. The surfaces of the ZnO thin film were superhydrophobic with a contact angle (CA) of 170 degrees +/- 1 degrees, while the sliding angle (SA) is 2 degrees. The samples were characterized by field emission scanning electron microscopy (FESEM).