Anemia in elderly rheumatoid arthritis patients: a cohort study.

Introduction: Anemia is common in elderly patients with rheumatoid arthritis (RA). This study aimed to evaluate the current status and influencing factors of anemia in RA patients, to provide insights for clinical RA treatment and care. Material and methods: This study included elderly patients with high RA activity treated in our hospital from June 1, 2021 to December 31, 2022 for analysis. The characteristics of RA patients were analyzed. Pearson correlation and logistic regression analysis were conducted to analyze the influencing factors of anemia in elderly patients with RA. Results: A total of 285 RA patients were included. The incidence of anemia in high RA activity patients was 62.46%. There were significant differences in the course of RA, hemoglobin (Hb), low-density lipoprotein cholesterol (LDL-C), platelet/lymphocyte rate (PLR) and albumin (Alb) between RA patients with anemia and without anemia (all p < 0.05). Pearson correlation analysis indicated that course of RA (r = 0.522), Hb (r = 0.797), LDL-C (r = 0.558), PLR (r = 0.615) and Alb (r = 0.604) were correlated with anemia in patients with high RA activity (all p < 0.05). Logistic regression analysis indicated that course of RA ≥ 8 years (OR = 2.584, 95% CI: 1.822-3.647), LDL-C ≤ 2.8 mmol/l (OR = 3.202, 95% CI: 2.804-3.431), PLR ≥ 8 (OR = 2.183, 95% CI: 1.744-2.457), Alb ≤ 35 g/l (OR = 1.716, 95% CI: 1.401-2.006) were the risk factors of anemia in elderly patients with high RA activity (all p < 0.05). Conclusions: Anemia in elderly patients with high RA activity is closely related to the course of RA, LDL-C, PLR and Alb. Close attention should be paid to the monitoring of those indicators to take early intervention measures to improve the prognosis of RA patients.

Post-traumatic growth among emergency nurses after COVID-19 in Shanghai, China: a qualitative study.

OBJECTIVES: This study aims to investigate the post-traumatic growth of emergency nurses (ENs) in Shanghai, China, in 2022 following the COVID-19 pandemic. DESIGN: A phenomenological qualitative research approach was employed, with 17 ENs being interviewed between July and August 2022. Data collection was conducted through semistructured, in-depth interviews, and data analysis was carried out using the Colaizzi's seven-step analysis method. SETTING: A third-level hospital in Shanghai. PARTICIPANTS: A total of 17 ENs were interviewed through face-to-face, semistructured, in-depth interviews. RESULTS: Three main themes and eight subthemes were extracted from the data: (a) stress, (b) restructuring and (c) growth. CONCLUSION: Significant stress was imposed on ENs by the Shanghai COVID-19 pandemic, but cognitive restructuring was successfully undergone by them, leading to the experience of growth. It is recommended that post-traumatic growth levels be enhanced through professional psychological counselling and tailored support measures for different stages.

Promotion factors of emergency nurses' post-traumatic growth during the COVID-19 pandemic in Shanghai: a qualitative study.

BACKGROUND: Since March 2022, Shanghai, China, has experienced a severe wave of SARS-CoV-2 transmission caused by the Omicron variant strain. The pandemic has severely constrained the local healthcare system. After treating critically ill COVID-19 patients, emergency nurses may experience some positive changes due to new insights or gains in their work, even if they have had traumatic experiences. This study aimed to explore the promoting factors of emergency nurses' post-traumatic growth during the COVID-19 pandemic in Shanghai. We hoped to provide a new perspective and theoretical basis for intervening in and promoting the psychological rehabilitation of medical staff after traumatic circumstances. METHODS: This study employed a qualitative design based on the phenomenological approach. 18 participants from the emergency department of a third-level class-A hospital in Shanghai who participated in treating COVID-19 patients were enrolled using purposive sampling. Data collection was through in-depth and semi-structured interviews and continued until reaching data saturation. The seven-step Colaizzi process was used for data analysis. RESULTS: The investigation uncovered two themes and six subthemes. Internal factors contained self-affirmation, deliberate rumination, and cognitive restructuring, which constituted attitudes and behaviours that participants could subjectively determine. External factors included social support, transformational leadership, and role modelling, which constituted factors influenced by others or the environment. CONCLUSIONS: The promoting factors of PTG of emergency nurses originated from different sources such as individuals, organizations, and society. In addition to good psychological adjustment of the individual, society, hospitals, and nursing managers should focus on establishing supportive PTG strategies. The ultimate purpose is to improve the retention rate and career growth of nurses.

A mini-review on the emerging role of nanotechnology in revolutionizing orthopedic surgery: challenges and the road ahead.

An emerging application of nanotechnology in medicine currently being developed involves employing nanoparticles to deliver drugs, heat, light, or other substances to specific types of cells (such as cancer cells). As most biological molecules exist and function at the nanoscale, engineering and manipulating matter at the molecular level has many advantages in the field of medicine (nanomedicine). Although encouraging, it remains unclear how much of this will ultimately result in improved patient care. In surgical specialties, clinically relevant nanotechnology applications include the creation of surgical instruments, suture materials, imaging, targeted drug therapy, visualization methods, and wound healing techniques. Burn lesion and scar management is an essential nanotechnology application. Prevention, diagnosis, and treatment of numerous orthopedic conditions are crucial technological aspects for patients' functional recovery. Orthopedic surgery is a specialty that deals with the diagnosis and treatment of musculoskeletal disorders. In recent years, the field of orthopedics has been revolutionized by the advent of nanotechnology. Using biomaterials comprised of nanoparticles and structures, it is possible to substantially enhance the efficacy of such interactions through nanoscale material modifications. This serves as the foundation for the majority of orthopedic nanotechnology applications. In orthopedic surgery, nanotechnology has been applied to improve surgical outcomes, enhance bone healing, and reduce complications associated with orthopedic procedures. This mini-review summarizes the present state of nanotechnology in orthopedic surgery, including its applications as well as possible future directions.

Evaluation of safety and efficacy of inhaled ambroxol in hospitalized adult patients with mucopurulent sputum and expectoration difficulty.

Background: Ambroxol is a widely used mucoactive drug in sputum clearance of respiratory diseases taken orally and by injection. However, there is a paucity of evidence for inhaled ambroxol in sputum clearance. Methods: This study performed a multicenter, randomized, double-blind, placebo-controlled, phase 3 trial at 19 centers in China. Hospitalized adult patients with mucopurulent sputum and expectoration difficulty were recruited. Patients were randomized by 1:1 to receive inhalation of either ambroxol hydrochloride solution 3 mL (22.5 mg) + 0.9% sodium chloride 3 mL or 0.9% sodium chloride 6 mL twice daily for 5 days, with an interval of more than 6 h. The primary efficacy endpoint was the absolute change in the sputum property score after treatment compared to the baseline in the intention-to-treat population. Results: Between 10 April 2018 and 23 November 2020, 316 patients were recruited and assessed for eligibility, of whom 138 who received inhaled ambroxol and 134 who received a placebo were included. Patients who received inhaled ambroxol had a significantly greater decrease in the sputum property score compared with patients who received inhalation of placebo (difference: -0.29; 95% CI: -0.53 to -0.05; p = 0.0215). Compared with the placebo, inhaled ambroxol also significantly reduced more expectoration volume in 24 h (difference: -0.18; 95% CI: -0.34 to -0.03; p = 0.0166). There was no significant difference in the proportion of adverse events between the two groups, and no deaths were reported. Discussion: In hospitalized adult patients with mucopurulent sputum and expectoration difficulty, inhaled ambroxol was safe and effective for sputum clearance compared with a placebo. Clinical trial registration: [https://www.chictr.org.cn/showproj.html?proj=184677], Chinese Clinical Trial Registry [ChiCTR2200066348].

Generation Z nursing students' online learning experiences during COVID-19 epidemic: A qualitative study.

In early 2022, the coronavirus disease 2019 (COVID-19) continued to spread quickly globally and broke out in some metropolitan areas. To stop the spread of infection, all colleges and universities were shifted to a closed model, and higher education was transformed into online learning (OL). These transitions posed numerous challenges for Generation Z students, especially those in the nursing profession that featured face-to-face practice courses. This study aimed to explore and understand the experiences of OL among Generation Z nursing students during COVID-19 epidemic. This qualitative phenomenological research design applied a purposive sampling approach to enroll 14 Generation Z nursing students from a college. Data were collected and analyzed using in-depth, semi-structured interviews and Colaizzi seven-step method. The analysis demonstrated four themes and eleven subthemes: challenges encountered during OL, advantages perceived during OL, experience of loneliness and stress, and developing resilience during OL. This study concluded that the sudden shift in learning styles presents challenges to Generation Z nursing students. Despite the adversity, the students showed tremendous resilience and endurance. During the pandemic, educators should provide support measures based on the characteristics of Generation Z to improve the effectiveness of OL and respond positively to stress.

Study on the Relationship Between Bronchoalveolar Lavage Fluid Cell Count, Th1/Th2 Cytokines and Pulmonary Function in Patients with Cough Variant Asthma.

Objective: This study aimed to compare lung function and airway inflammation among cough variant asthma (CVA), chronic cough and classical asthma (CA) and investigate the relationship between these indicators and their possible mechanisms of action in the progression of CVA to CA. Methods: 36 patients with chronic cough, 39 patients with CA, and 57 patients with CVA were included in this study. Pulmonary function tests, bronchial provocation tests and FeNO tests were performed. The patients' bronchoalveolar lavage fluid (BALF) was collected, the cells in BALF were counted, and the levels of Th1 and Th2 cytokines were detected. Results: The neutrophils, lymphocytes, and eosinophils in BALF in the CA and CVA groups were significantly higher than those in the chronic cough group. Also, they were negatively correlated with FEV1, FVC, and FEV1/FVC and positively correlated with IgE and FeNO. The expression of Th2-related cytokines was increased in CVA and CA patients, and it was positively correlated with FEV1, FVC and FEV1/FVC and negatively correlated with IgE and FeNO, while the results of Th1-related cytokines were the opposite of those for Th2-related cytokines. Conclusion: CVA differs from asthma and chronic cough in terms of Th1/Th2 cytokines and lung function and provides a reference for understanding the disease mechanism of early clinical progression of CVA to CA.

A Framework and Algorithm for Human-Robot Collaboration Based on Multimodal Reinforcement Learning.

Despite the emergence of various human-robot collaboration frameworks, most are not sufficiently flexible to adapt to users with different habits. In this article, a Multimodal Reinforcement Learning Human-Robot Collaboration (MRLC) framework is proposed. It integrates reinforcement learning into human-robot collaboration and continuously adapts to the user's habits in the process of collaboration with the user to achieve the effect of human-robot cointegration. With the user's multimodal features as states, the MRLC framework collects the user's speech through natural language processing and employs it to determine the reward of the actions made by the robot. Our experiments demonstrate that the MRLC framework can adapt to the user's habits after repeated learning and better understand the user's intention compared to traditional solutions.

Post-traumatic growth experience of first-line emergency nurses infected with COVID-19 during the epidemic period-A qualitative study in Shanghai, China.

Background: In March 2022, Shanghai, China, was hit by a severe wave of SARS-CoV-2 transmission caused by the Omicron variant strain. The medical staff was greatly infected during this period, which posed a traumatic event for them. Meanwhile, they also experience post-traumatic growth under introspection and positive change. However, the psychological coping and growth after infection with COVID-19 among medical staff have rarely been investigated. Objectives: To explore the process and influencing factors of post-traumatic growth among emergency nurses infected with coronavirus disease (COVID-19) so as to provide a new perspective and theoretical basis for psychological rehabilitation or intervention for medical staff who experienced traumatic events. Methods: The study used a qualitative design based on the phenomenological approach. A purposive sampling method was used to explore the subjective feelings and post-traumatic growth among 13 first-line emergency nurses infected with COVID-19 in Shanghai, China. Semi-structured face-to-face interviews were conducted in June 2022. A Seven-step Colaizzi process was used for data analysis. Results: Themes were described and extracted from the experience and insights at different stages during the fight against the virus. Three main themes, i.e., stress period, adjustment period, and growth period, as well as several sub-themes, were identified. Conclusion: First-line emergency nurses infected with COVID-19 are a sensitive group that should be given more attention. Investigating how they achieve psychological adjustment and growth in the case of severe trauma can provide valuable references for nursing management and education in the future. Society, hospital and nursing managers should pay more attention to the PTG of nurses and establish supportive PTG strategies, which will benefit the retention rate and career development of nurses.

Psychological resilience of emergency nurses during COVID-19 epidemic in Shanghai: A qualitative study.

Background: In early 2022, an outbreak of Coronavirus Disease 2019 (COVID-19) occurred in Shanghai, China. The spread of the epidemic put a large amount of stress on the local healthcare system, especially emergency nurses (ENs), which may affect their well-being and performance. Enhancing the psychological resilience of ENs during COVID-19 pandemic may improve job satisfaction, retention, and public health emergency response. However, few studies have researched the perception and psychological resilience of ENs during COVID-19 pandemic. Objective: To understand ENs' perception and psychological resilience and their coping strategies with adversity during COVID-19 in Shanghai, as well as factors associated with psychological resilience. Methods: This qualitative study was conducted using a phenomenological approach. A total of 17 ENs from a 3rd level hospital in Shanghai were selected using a method of purposive sampling. Between April and May 2022, in-depth semi-structured interviews and Colaizzi seven-step method were performed for data collection and analysis. Results: The investigation discovered three themes and nine subthemes. The first theme is "risk factors." Risk factors for ENs to remain resilience are sudden multiplication of workload, stressful of screening of infected patients, and the support nurses being unfamiliar with the procedure. The second theme is "promoting factors." ENs emphasized the importance of management assurance and humanistic care, as well as social support. They recognized adversity and resilience, and used self-management strategies to cope with the situation. The third theme is "motivated by altruism." ENs were driven by altruism to respond to adversity with a positive attitude. They realized their self-worth by helping patients with a sense of sacred mission. Conclusions: Psychological resilience is not a stable psychological characteristic but a constantly changing process that is affected by internal and external factors. Enhancing resilience of ENs during the COVID-19 pandemic may improve work satisfaction, retention, and public health emergency response. Adequate preparation before a pandemic, reasonable arrangement, a trustworthy working atmosphere, encouragement and improvement of individual and collective strategies for nurses to cope with adversity, timely rewards, and nurse empowerment, as well as counseling and training, can be used to enhance psychological resilience of ENs.

Nursing students' experience during their practicum in an intensive care unit: A qualitative meta-synthesis.

Background: Clinical practicum provides nursing students with more opportunities to learn their professional knowledge and develop basic nursing skills. Intensive care unit (ICU) is often used as one of the clinical practicum departments for nursing students. Due to the characteristic fast-paced working environments, high acuity of patient care, and technical complexities of an ICU, nursing students are more susceptible to experiencing stress and lack of confidence in these settings, which hinders their professionalization and affects patient care. Objective: The study aimed to summarize and evaluate the nursing students' experience in an ICU during their practicum and to provide a supportive ICU clinical practicum environment for them. One of the main objectives was to increase the ICU specialty nurse reserve and improve nursing care in the ICU. Methods: The following databases were searched for related qualitative publications in Chinese and English by systematic searches across January 2022, including the nursing students' experience in ICU during their practicum: PubMed, Cochrane Library, Web of Science, and so on. The qualitative meta-synthesis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. Two reviewers independently selected these studies and carefully evaluated the quality of each study. Meta-synthesis was then used to summarize the results. Results: Eleven sub-themes and 3 themes were revealed in 9 studies: challenges of clinical practicum in the ICU, the expectation of support from multiple sources, and the importance and necessity of practicum in the ICU. Conclusion: Performing one's practicum in ICU was considered by the nursing students in this review as a beneficial practicum despite the challenges involved. The appropriate guidance and monitoring should be given by hospital managers and college educators.

Occupational benefit perception of acute and critical care nurses: A qualitative meta-synthesis.

Background: With the development of society, nurses have an increasingly more important role in the medical team. At the same time, due to various reasons, the number of active nurses is continuously decreasing, and the shortage of nursing personnel is becoming ever more serious. The COVID-19 pandemic made these clinical problems more serious. As the department with the greatest work pressure and the most intense pace, acute and critical care nurses are already facing serious problems related to job burnout and dismission. In the context of the COVID-19 pandemic, these problems should be solved urgently. Furthermore, with the rise of positive psychology, many scholars are turning their research direction to the positive professional experience of nurses so as to get inspiration to encourage nurses to face work with an optimistic attitude and guide nursing managers to better retain nursing talents. Objective: The purpose of this paper is to summarize and evaluate the positive emotional experience and professional benefit of acute and critical care specialist nurses in the process of work. So as to better interpret their occupational benefit perception and guide nursing managers in adopting positive measures and promoting the development of high-quality nursing. Methods: Cinahl plus, Embase, Medline and other twelve databases were searched for relevant literature. Meta-aggregation was used to synthesize the findings of the included studies. Results: From a total of 12 articles included in this study, 55 main results were presented, 8 new categories were integrated, and three themes were formed: professional identity, social support, and personal growth. The professional identity included: being proud of professional ability and increasing professional value; social support included: friends and family support, organizational, environmental support, peer support, and support of patients and their families; personal growth included realizing self-worth and promoting self-development. Conclusion: Hospital managers should pay attention to the positive emotional experience of nurses in work and based on this, provide practical and beneficial protection for nurses from the aspects of salary, learning opportunities, working environment, social support and internal personality, stimulate work enthusiasm, guide nurses to correctly face negative emotions and occupational pressure, and improve the sense of professional benefit.

A Massage Area Positioning Algorithm for Intelligent Massage System.

A growing number of studies have been conducted over the past few years on the positioning of daily massage robots. However, most methods used for research have low interactivity, and a systematic method should be designed for accurate and intelligent positioning, thus compromising usability and user experience. In this study, a massage positioning algorithm with online learning capabilities is presented. The algorithm has the following main innovations: (1) autonomous massage localization can be achieved by gaining insights into natural human-machine interaction behavior and (2) online learning of user massage habits can be achieved by integrating recursive Bayesian ideas. As revealed by the experimental results, combining natural human-computer interaction and online learning with massage positioning is capable of helping people get rid of positioning aids, reducing their psychological and cognitive load, and achieving a more desirable positioning effect. Furthermore, the results of the analysis of user evaluations further verify the effectiveness of the algorithm.

Supply-demand matching of medical services at a city level under the background of hierarchical diagnosis and treatment - based on Didi Chuxing Data in Haikou, China.

BACKGROUND: Implementation of the Healthy China Strategy and the hierarchical diagnosis and treatment system has injected new vitality into medical services. Given the insufficient supply of medical services and increasing demand for medical treatment, exploring the supply-demand pattern of medical services has become an urgent theoretical and practical problem to be solved. The equity of healthcare facilities has received widespread attention, but due to limited data, there is little research on the supply-demand pattern of medical services. This study focuses on evaluating the supply-demand matching pattern of medical services at different levels in Haikou City with big geographic data and promoting the realization of a balance between medical supply and demand. METHODS: This study utilizes spatial data of medical institutions, Didi Chuxing Data, and population density data. Firstly, use the two-step floating catchment area method and GIS spatial analysis to explore characteristics of the supply-demand patterns of medical services at different levels in Haikou. Secondly, we mine residents' demand for medical treatment based on Didi Chuxing Data. Then combined with population density data, divide supply-demand matching of medical institutions into four types. Finally, propose optimization strategies for the problems. RESULTS: The accessibility pattern of high-level medical institutions in Haikou presents high in the north and low in the south. The accessibility pattern of low-level medical institutions is the opposite. High-level medical institutions have a strong demand for medical treatment, which is less hampered by distance. The healthcare demand of low-level medical institutions is small, and they mainly are medium- and short-distance medical travel. The types of medical services at different levels are mainly "low supply - low demand" and "high supply - low demand" types. CONCLUSIONS: Medical services at different levels in Haikou are mainly in supply-demand imbalance. Therefore, we put forward optimization strategies to promote the equity of primary medical services, such as propelling the establishment and improvement of the hierarchical diagnosis and treatment system, building a new model of medical and health service supply, and strengthening balanced coverage of primary medical institutions. The mining of big geographic data is beneficial to alleviate the mismatch between medical supply and demand, although the data and methods need to be improved.

The optimal emergency decision-making method with incomplete probabilistic information.

Emergencies often occur irregularly, such as infectious diseases, earthquakes, wars, floods, the diffusion and leakage of chemically toxic and harmful substances, etc. These emergencies can bring huge disasters to people, even worse, the time left for people to make critical decisions is usually very limited. When an emergency occurs, the most important thing for people is to make reasonable decisions as soon as possible to deal with the current problems, otherwise, the situation may deteriorate further. The paper proposes an emergency decision-making algorithm under the constraints of the limited time and incomplete information, the research is mainly carried out from the following aspects, firstly, we use the data structure of the hesitant fuzzy probabilistic linguistic set to collect the basic data after careful comparison, which has three advantages, (1) considering the hesitation in the decision-making process, each evaluation information is allowed to contain multiple values instead of just one value; (2) each evaluation value is followed by a probability value, which further describes the details of the evaluation information; (3) the data structure allows some probability information to be unknown, which effectively expands the application scope of the algorithm. Secondly, the maximization gap model is proposed to calculate unknown parameters, the model can distinguish alternatives with small differences. Thirdly, all the evaluation information will be aggregated by the dynamic hesitant probability fuzzy weighted arithmetic operator. Subsequently, an instance is given to illustrate the effectiveness and the accuracy of the algorithm proposed in the paper. Finally, the advantages of the proposed algorithm are further demonstrated by comparing it with other outstanding algorithms. The main contribution of the paper is that we propose the maximization gap model to obtain the unknown parameters, which can effectively and accurately distinguish alternatives with small differences.

Design and Implementation of Ultrasonic Impact Peening-Based Device for Stainless Steel Surface Texture Fabrication.

The manufacturing of precise surface microstructures with low cost is needed for surface texturing-based surface engineering. In this paper, a device for the fabrication of surface microgroove texture on stainless steel based on ultrasonic impact peening (UIP) is proposed and investigated. First, the principle of applying the UIP into the fabrication of surface texture is analytically described. Then, the design of the UIP device, particularly the design of functional systems and mechanical structures, is carried out. Next, a UIP experimental device is built, and is further applied to fabricate microgroove textures on 316L stainless steel. The subsequent experimental characterization of microgroove morphology demonstrates the feasibility of the designed UIP device for the fabrication of stainless steel surface texture.

Expression Profile Analysis and Image Observation of miRNA in Serum of Patients with Obstructive Sleep Apnea-Hypopnea Syndrome.

The expression profile and image observation of miRNA in serum of patients with obstructive sleep apnea-hypopnea syndrome were investigated. Bioinformatics methods were used to explore the molecular mechanism of obstructive sleep apnea-hypopnea syndrome (OSAHS)-related hypertension and explore the differentially expressed core miRNAs and regulatory factors, providing a theoretical basis for seeking molecular targets for clinical diagnosis and treatment. The miRNA datasets of patients with OSAHS and those with hypertension were downloaded from the public database to obtain differentially expressed miRNAs and explore the biological processes and pathways involved in the target genes. The core miRNAs and competitive endogenous RNA (ceRNA) transcription factors (TFs) were obtained by database mining and Cytoscape network analysis. The results showed that 2,579 differentially expressed miRNAs were obtained from the GSE112093 dataset. Seven upregulated miRNAs (hsa-miR-7107-5p, hsa-miR-7110-5p, hsa-miR-595, hsa-miR-1268b, hsa-miR-3064-5p, hsa-miR-68565p, and hsa-miR-1180-3p) and one downregulated miRNA (hsa-miR-22-3p) were obtained from the GSE112093 dataset. It is proved that hsa-miR-22-3p, hsa-miR-595, hsa-miR-6856-5pKcnq1ot1, neat1, Tsix, ERG, kdm2b, and Runx1 may be involved in the pathogenesis of OSAHS-related hypertension, which provided a theoretical basis for the mechanism research and clinical treatment of OSAHS.

Composition of the bacterial community in the gastrointestinal tract of Kunming mice

Background: The intestinal bacterial community has an important role in maintaining human health. Dysbiosis is a key inducer of many chronic diseases including obesity and diabetes. Kunming mice are frequently used as a model of human disease and yet little is known about the bacterial microbiome resident to the gastrointestinal tract. Results: We undertook metagenomic sequencing of the luminal contents of the stomach, duodenum, jejunum, ileum, cecum, colon, and rectum of Kunming mice. Firmicutes was the dominant bacterial phylum of each intestinal tract and Lactobacillus the dominant genus. However, the bacterial composition differed among the seven intestinal tracts of Kunming mice. Compared with the small intestine, the large intestine bacterial community of Kunming mice is more stable and diverse. Conclusions: To our knowledge, ours is the first study to systematically describe the gastrointestinal bacterial composition of Kunming mice. Our findings provide a better understanding of the bacterial composition of Kunming mice and serves as a foundation for the study of precision medicine.

Potential protein biomarkers for systemic lupus erythematosus determined by bioinformatics analysis.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder, and its pathogenesis in males and in cases without accompanying lupus nephritis (LN-) is not fully understood. In this study, we identified 90 (82 up- and 8 downregulated) differentially expressed genes (DEGs) common to female LN-, female LN+ and male LN+ using the GSE65391 and GSE49454 gene expression datasets from Gene Expression Omnibus database (GEO). The protein-protein interaction (PPI) network of 70 DEGs was constructed using STRING and cytoscape, and the Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that the PPI network was significantly enriched in defense response to virus, cytosol, protein binding and measles. Sixteen hubgenes were identified from this PPI network, and Literature Mining Gene Networks molecular of GenCLiP 2.0 showed strong interaction between STAT1, DDX58 and IFIT1. Enrichment analysis of hubgenes in published literature showed the involvement of immune response and interferon-related genes in the pathogenesis of SLE. In addition, the transcription factors STAT1 & 2 and IRF6 & 9 had high Normalized Enrichment Score (NES). The 70 DEGs with PPI network and 16 hubgenes are potential biomarkers of SLE, and can help improve diagnosis and develop individualized therapies.

Visible Light Driven Hydrogen Evolution by Molecular Nickel Catalysts with Time-Resolved Spectroscopic and DFT Insights.

Hydrogen (H2) is a clean fuel that can potentially be a future solution for the storage of intermittent renewable energy. However, current H2 production is mainly dominated by the energy intensive steam reforming reaction, which consumes a fossil fuel, methane, and emits copious amounts of carbon dioxide as one of the byproducts. To address this challenge, we report a molecular catalyst that produces H2 from aqueous solutions, is composed of affordable, earth-abundant elements such as nickel, and has been incorporated into a system driven by visible light. Under optimized conditions, we observe a turnover number of 3880, among the best for photocatalytic H2 evolution with nickel complexes from water-methanol solutions. Through nanosecond transient absorption, electron paramagnetic resonance, and UV-vis spectroscopic measurements, and supported by density functional theory calculations, we report a detailed study of this photocatalytic H2 evolution cycle. We demonstrate that a one-electron reduced, predominantly ligand-centered, reactive Ni intermediate can be accessed under visible light irradiation using triethylamine as the sacrificial electron donor and reductive quencher of the initial photosensitizer excited state. In addition, the computational calculations suggest that the second coordination sphere ether arms can enhance the catalytic activity by promoting proton relay, similar to the mechanism among [FeFe] hydrogenases in nature. Our study can form the basis for future development of H2 evolution molecular catalysts that incorporate both ligand redox noninnocence and alternative second coordination sphere effects in artificial photosynthetic systems driven by visible light.