ObjectiveTo evaluate the efficacy and safety of spleen-strengthening therapy in the treatment of postoperative colorectal adenoma. MethodRandomized controlled trials （RCTs） of spleen-strengthening therapy for postoperative colorectal adenoma published in the databases of China National Knowledge Infrastructure （CNKI）， Wanfang Data， VIP， SinoMed， PubMed， Cochrane Library， Embase， Web of Science， and Clinical Trials registry center from database inception to February， 2024 were retrieved and selected based on inclusion and exclusion criteria. The included RCTs were subjected to Meta-analysis using RevMan 5.3 software. ResultA total of 29 articles were included， involving 2 935 patients， with 1 462 in the experimental group and 1，473 in the control group. The Meta-analysis results showed that compared with conventional Western medical treatment alone， the experimental group that combined the spleen-strengthening therapy with conventional Western treatment had a significantly lower recurrence rate at six months post-surgery ［relative risk （RR）=0.45， 95% confidence interval （CI） ［0.37， 0.53］， P<0.000 01］， and at one year post-surgery （RR=0.54， 95%CI ［0.47， 0.63］， P<0.000 01）. Additionally， the experimental group showed significant improvement in clinical symptoms （RR=1.28，95%CI ［1.17，1.40］， P<0.000 01） and more pronounced effects in suppressing inflammatory factors， with no serious adverse reactions observed. The differences were all statistically significant. The analysis of the Chinese medicines used in the included articles revealed 28 prescriptions with 99 different drugs used 369 times in total. The most frequently used drug was Atractylodis Macrocephalae Rhizoma， followed by Codonopsis Radix， Poria， Glycyrrhizae Radix et Rhizoma， and Citri Reticulatae Pericarpium. Furthermore， correlation analysis showed that spleen-strengthening drugs were often used in combination with heat-clearing and toxin-removing drugs， qi-regulating drugs， and blood-activating drugs such as Hedyotidis Diffusae Herba， Citri Reticulatae Pericarpium， and Curcumae Rhizoma. ConclusionThe spleen-strengthening therapy demonstrates good clinical efficacy and high safety for patients with postoperative colorectal adenoma. However， due to the limitations in the quantity and quality of the included RCTs， more high-quality clinical trials are needed to verify these conclusions.

Epimedin B(EB)is one of the main flavonoid ingredients present in Epimedium brevicornum Maxim.,a traditional herb widely used in China.Our previous study showed that EB was a stronger inducer of melanogenesis and an activator of tyrosinase(TYR).However,the role of EB in melanogenesis and the mechanism underlying the regulation remain unclear.Herein,as an extension to our previous investi-gation,we provide comprehensive evidence of EB-induced pigmentation in vivo and in vitro and eluci-date the melanogenesis mechanism by assessing its effects on the TYR family of proteins(TYRs)in terms of expression,activity,and stability.The results showed that EB increased TYRs expression through microphthalmia-associated transcription factor-mediated p-Akt(referred to as protein kinase B(PKB))/glycogen synthase kinase 3β(GSK3β)/β-catenin,p-p70 S6 kinase cascades,and protein 38(p38)/mitogen-activated protein(MAP)kinase(MAPK)and extracellular regulated protein kinases(ERK)/MAPK pathways,after which EB increased the number of melanosomes and promoted their maturation for melanogenesis in melanoma cells and human primary melanocytes/skin tissues.Furthermore,EB exerted repigmentation by stimulating TYR activity in hydroquinone-and N-phenylthiourea-induced TYR inhibitive models,including melanoma cells,zebrafish,and mice.Finally,EB ameliorated monobenzone-induced depigmentation in vitro and in vivo through the enhancement of TYRs stability by inhibiting TYR misfolding,TYR-related protein 1 formation,and retention in the endoplasmic reticulum and then by downregulating the ubiquitination and proteolysis processes.These data conclude that EB can target TYRs and alter their expression,activity,and stability,thus stimulating their pigmentation function,which might provide a novel rational strategy for hypopigmentation treatment in the pharmaceutical and cosmetic industries.

Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

G-protein signaling modulator 2 is a member of the GPSM family, with emerging significance in various diseases including Chadley-McCullough syndrome, rheumatoid arthritis, and systemic lupus erythematosus. Furthermore, its involvement extends to tumor pathogenesis, encompassing non-small-cell lung cancer, breast cancer, hepatocellular carcinoma, pancreatic carcinoma, serous ovarian cancer, Ewing's sarcoma, and osteosarcoma, influencing proliferation, invasion, and metastasis. There is no relevant review on the mechanism of GPSM2 in tumor progression. This paper will summarize the research progress on GPSM2 in tumors in recent years, focusing on its role and mechanism, with the aim of providing references and guidance for further research.

Objective To establish a nomogram model for efficiently predicting overall survival(OS)and cancer-specific survival(CSS)in patients with CRCHBM.Method 2239 patients from 2010 to 2019 were retrospectively analyzed from the Surveillance,Epidemiology,and End Results Program(SEER)databases and Wuhan Union Hospital Cancer Center.SEER is randomly assigned to the training and internal validation cohorts,and the Wuhan database serves as the external validation.Cox regression analyses were used to determine the independent clinicopathological prognosis factors affecting OS and CSS,and a nomogram was constructed to predict OS and CSS.The clinical utility of columnar plots was assessed using calibration curves,area under the curve(AUC),and decision curve analysis(DCA).Result OS column line graphs were constructed based on nine independent predictors:age,tumor location,degree of differentiation,tumor size,TNM stage,chemotherapy,primary focus surgery,number of lymph nodes sampled,and serum carcinoembryonic antigen(CEA)level.The C-index of the nomogram to predict the 1-,3-,and 5-year OS were 0.764,0.790,and 0.805 in the training group,0.754,0.760,and 0.801 in the internal validation group,and 0.822,0.874,and 0.906 in the external validation group.CSS column line graphs were constructed based on 3 independent predictors of TNM staging,radiotherapy and chemotherapy.The 1-,3-,and 5-year CSS AUROC values of the training group were 0.791,0.757,and 0.782,respectively.0.682,0.709,0.625 in the internal validation group and 0.759,0.702,0.755 in the external validation group,respectively.The results of receiver operating characteristic curve(ROC),ROC and DCA showed that the use of our model was more effective in predicting OS and CSS than other single clinicopathological features.Conclusion In summary,the nomogram based on significant clinicopathological features can be conveniently used to predict OS and CSS individually in patients with CRCHBM.

Objective:To investigate the effects of compound Duzhong Jiangu Granules on joint function and gut microbiota in patients with Kashin-Beck disease.Methods:A single group pre- and post-experimental design was conducted, the patients with Kashin-Beck disease were selected as the subjects in Xunyi County, Xianyang City, Shaanxi Province; and treated with oral administration of compound Duzhong Jiangu Granules (12 g/bag, 1 bag/time, 3 times/day) for a period of 1 month. The improvement of joint function was evaluated using the joint dysfunction index scoring method before and after treatment. Morning stool samples of patients were collected and the changes in gut microbiota were analyzed before and after treatment using 16S rDNA sequencing technology.Results:A total of 87 patients with Kashin-Beck disease were included, including 44 males and 43 females; the age was (60.38 ± 7.12) years old, and the body mass index was (23.67 ± 3.59) kg/m 2. The comprehensive scores of joint dysfunction index for patients with Kashin-Beck disease before and after treatment were (7.27 ± 2.05) and (5.86 ± 2.01) points, respectively, and the difference was statistically significant ( t = 5.88, P < 0.001). The sequencing results of gut microbiota showed that there were statistically significant differences in the alpha diversity (chao1, observed species index) and beta diversity of gut microbiota in patients with Kashin-Beck disease before and after treatment ( Z = - 5.08, - 5.03, R = 0.09, P < 0.001). In the distribution of gut microbiota, Firmicutes was the dominant phylum, with relative abundances of 50.21% and 52.09% before and after treatment, respectively; the Bifidobacterium was the dominant bacterial genus, with relative abundances of 16.83% and 18.81% before and after treatment, respectively. At the genus level, a total of 17 gut microbiota genera were screened out, among which the relative abundances of Hafnia-Obesumbacterium, Gammaproteobacteria_unclassified, Acinetobacter, Pantoea, Leuconostoc, and Akkermanisia were significantly higher than before treatment ( Z = - 2.40, - 2.24, - 2.06, - 3.59, - 2.24, - 2.11, P < 0.05). The relative abundances of Dubosiella, Selenomonas, Anaeroplasma, Lachnospiraceae_ NK4A136_group, Rikenella, Prevotella, Megasphaera, Lactobacillus, Prevotella-9, Phascolarctobacterium, and Desulfovibrio were significantly lower than before treatment ( Z = - 9.38, - 2.61, - 2.18, - 8.43, - 2.45, - 2.46, - 2.49, - 7.29, - 2.29, - 2.55, - 2.08, P < 0.05). Conclusions:Compound Duzhong Jiangu Granules can effectively improve the joint function of patients with Kashin-Beck disease, and alter the diversity and richness of the gut microbiota community. It may reduce clinical symptoms in patients by regulating the structure of gut microbiota.

Objective To provide the evidence for the development of personalized health education courses for twin pregnant women.We explored the health education and psychosocial demand of twin pregnant women from the perspective of social ecosystem theory.Methods By purposive sampling,18 twin pregnant women hospitalized in the twin medical center of a tertiary A hospital in Shenyang from January to March 2023 to conduct for semi-structured interviews,and Colaizzi's 7-step analysis method was used to sort out and analyze the data.Results 3 themes were extracted from the health education and psychosocial needs of twin pregnant women.Microsystem:the content needs of twin pregnant women's health education(the guidance needs of nutrition intake and weight growth;the needs for fetus health monitoring guidance;the cognitive needs of twin pregnancy complications;the needs for health education knowledge related to puerperium and the diversification of the choice of teaching methods).Mesosystem:the emotional support needs of twin pregnant women during prenatal and puetperal(the needs of family support and peer education support).Macrosystem:seeking social support and network information support(the demand of community support;the needs of information related to twin pregnant women's hierarchical management system and maternal fetal medical referral process and the needs for network health education information).Conclusion The women with twin pregnancy have different needs for health education content in each stage of pregnancy and puerperium,and there are urgent needs for emotional support and social support.Clinical nurses should construct health education courses according to the needs of twin women,and innovate in content and form,so as to improve the self-care ability of twin pregnant women and the knowledge level of family caregivers,and improve the pregnancy outcome.

Objective:To investigate the risk factors for postsurgical gastroparesis syndrome (PGS) after laparoscopic complete mesocolic excision (CME) for right colon cancer.Methods:The clinical data of 358 patients who underwent laparoscopic CME for right colon cancer were retrospectively analyzed. Univariate and multivariate logistics regression were used to analyze the independent risk factors for PGS.Results:PGS occurred in 19 patients (4.8%). Logistic regression analysis showed that preoperative anxiety score (PAS-7)≥14 ( OR=6.450, P=0.039), preoperative serum albumin<35 g/L ( OR=9.302, P=0.011), colon cancer at hepatic flexura ( OR=9.782, P=0.007), No.206 group lymph node dissection ( OR=8.317, P=0.004), and intra-abdominal infection ( OR=5.755, P=0.043) were independent risk factors for PGS. Conclusion:Patient's preoperative health status, tumor location, scope of lymph node dissection and postoperative intra-abdominal infection are all risk factors related to PGS after CME for right colon cancer.

Epstein-Barr virus (EBV) is generally susceptible in human beings and multi-organ systems can be involved in EBV infection, such as blood, respiratory, urinary, digestive and nervous systems. EBV infection also plays an important role in the pathogenesis of related tumors, autoimmune diseases and other diseases, posing a great threat to human health. As a DNA virus, EBV can be sensed by DNA recognition receptors to trigger a series of downstream immune responses. A DNA-sensing pathway consists of DNA sensors, adaptor molecules and downstream effector signals. Double-stranded DNA sensors mainly include absent in melanoma 2-like receptors (ALRs) and cyclic GMP-AMP synthase (cGAS). Adaptors were mainly stimulator of interferon genes (STING) and apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC). Downstream immune responses mainly involve typeⅠIFN, inflammasomes and proinflammatory cytokines. As a double-stranded DNA virus of the Herpesviridae family, EBV triggers complex innate and adaptive immune responses in the host, especially the sensing pathways mediated by a variety of DNA recognition receptors, which play a key role in host immune defense and pathogen immune evasion. This review made the DNA sensor as the clue to comprehensively summarize the progress in the activation, regulatory mechanism and clinical relevance of DNA-sensing pathways in EBV infection in recent years, aiming to achieve a better understanding of the host innate immune responses during EBV infection and provide an immunological basis for the prevention and treatment of EBV infection-related diseases.