ObjectiveTo evaluate the efficacy and possible mechanism of Wei's Huoxue Tongluo Formula （韦氏活血通络方，WHTF） in treating atrophic-stage non-arteritic anterior ischemic optic neuropathy （NAION） with qi deficiency and blood stasis. MethodsA total of 82 atrophic-stage NAION patients with qi deficiency and blood stasis were randomly divided into a treatment group and a control group， with 41 cases in each group. The treatment group was given oral administration of WHTF twice a day plus acupoint injection of distilled water 2 ml at Taiyang （EX-HN5） once daily， while the control group received injection of compound anisodine injection 2 ml at Taiyang （EX-HN5） once daily and oral administration of WHTF placebo twice a day. Both groups received treatment for a course of 14 days. The best-corrected visual acuity （BCVA）， optic disc perfusion density （PD）， flux index （FI）， macular superficial PD， vascular density （VD）， and traditional Chinese medicine （TCM） syndrome scores were compared between groups before treatment and on day 7 and day 14 of treatment. Additionally， mean defect （MD） and mean sensitivity （MS） of visual fields were measured before treatment and on day 14， along with safety evaluation. ResultsAfter treatment， both groups showed significant improvement in BCVA， visual field MD and MS， and TCM syndrome scores （P＜0.05 or P＜0.01）. On day 14 of treatment， the TCM syndrome score in the treatment group was significantly lower than that in the control group （P＜0.05）. There was no significant improvement in optic disc PD and FI， and macular superficial PD and VD after treatment in either group （P＞0.05） except that on day 7 the macular superficial foveal PD in the control group was significantly better than that in the treatment group （P＜0.05）. During the treatment period， no serious adverse events occurred in either group. ConclusionWHTF can improve the visual function indicators including visual acuity and visual field， as well as TCM syndrome scores in atrophic-stage NAION patients with qi deficiency and blood stasis. It shows clinical safety， although it does not appear to have a significant effect on optic disc or macular blood flow.

Objective: This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO). Materials and Methods: A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTRasym) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTRasym values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman’s correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO. Results: Patients with active TAO showed lower MTR values (P < 0.001) and higher MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) (all P < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (r = -0.402; P < 0.001), while MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) were positively correlated with CAS (r = 0.369, 0.350, and 0.349, respectively;all P < 0.001). MTR and MTRasym (1 ppm) were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTRasym (1 ppm) in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTRasym (1 ppm) significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (P = 0.029 and 0.001). Conclusion MTR and MTRasym (1 ppm) were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

Precise management of the activity dose is a core component of the(early mobilization,EM)plan for ICU patients.However,the lack of clinical practice guidelines related to EM dose of existing programs hinders the implementation and development of EM in ICU patients to some extent.Therefore,this review focuses on 4 aspects,covering the definition of activity dose,assessment tools,the current clinical implementation status,and implications for future nursing.The aim is to systematically review the assessment tools and intervention strategies for the activity dose of EM in ICU patients,providing a reference for optimization of EM programs.

Objective To investigate the requirement of blood sugar management in elderly patients with Type Ⅱ diabetes and to provide a reference for development of a program in management of blood sugar.Methods Using interpretive decriptive phenomenological research,an interview outline based on the theoretical domain framework was developed and face-to-face semi-structured interviews were conducted with 16 aged patients who had Type Ⅱ diabetes in the Department of Endocrinology and Metabolism of a Grade ⅢA hospital in Jiangxi Province.The participants were selected by purposive sampling.Colaizzi 7-step analytical method,in conjunction with Nvivo 11 software,was used to analyse,summarise and extract the themes.Results Seven themes related to the theoretical domain framework were extracted,which included knowledge,skills,environmental context and resources,behavioural adjustment,motivation and goals,emotions and self-efficacy.After refinement,nine sub-themes on major requirement for blood glucose management were extracted,which included the requirements for knowledge and skills in blood sugar management,support from the community and healthcare resources,support from the family,changes in maladaptive behaviours,individualised blood sugar management,motivation for self-management,clarity in goals of blood sugar control,emotional support and psychological adjustment,and support for strengthened beliefs(9 sub-themes).Conclusion Elderly patients with Type Ⅱ diabetes have diverse and individualised needs in management of blood sugar.In the future,healthcare staff should develop appropriate strategies or programs to meet the individual needs of patients by addressing the actual needs of patients,improving the self-management behaviours of patients so as to improve the effects of the blood sugar control.

Objective:To explore whether LBP3 exerts anti-tumor effects by promoting production of short-chain fatty acids(SCFAs)by intestinal microbiota and regulating function of polymorphonuclear myeloid-derived suppressor cells(PMN-MDSC).Methods:A subcutaneous H22 liver cancer model was employed to assess anti-tumor activity of LBP3 and its regulatory effects on PMN-MDSC.Pseudo-sterile tumor-bearing mouse model was used to investigate role of intestinal microbiota in tumor suppression of LBP3.Fecal microbiota transplantation(FMT)was conducted to explore immune regulatory role of LBP3-modulated flora.Serum SCFAs levels in tumor-bearing mice were quantified using liquid chromatography-mass spectrometry,and effect of SCFAs butyrate on arginase 1(Arg-1)expression was evaluated in vitro.Results:Both low-dose(125 mg/kg)and high-dose(250 mg/kg)LBP3 signifi-cantly inhibited tumor growth in H22 tumor-bearing mice,also led to a marked reduction in proportion of PMN-MDSC in both spleen and tumor,a reduced proportion of Treg in lymphoid tissues,a decrease in Arg-1 level within tumor,infiltration of CD8+T cells into tumor was significantly enhanced.However,these effects of LBP3 were did not observed in pseudo-sterile mice,while the above changes could be reproduced after fecal supernatant transplantation in high-dose LBP3 treatment group,suggesting a crucial role for gut microbiota.Furthermore,co-expression of Ly6G and SCFA receptor GPR43 in tumor was also observed.LBP3 treatment resulted in increased levels of SCFAs,particularly butyrate,in both blood and tumor tissues.In vitro,butyrate was shown to inhibit Arg-1 expression in MSC-2 cells,further supporting hypothesis that SCFAs mediate immune-modulatory effects of LBP3.Conclusion:LBP3 exerts its anti-tumor effects by promoting SCFA production,which subsequently inhibits function of PMN-MDSC.This highlights LBP3's potential as an immunomodulatory agent in cancer therapy.

Objective To investigate the requirement of blood sugar management in elderly patients with Type Ⅱ diabetes and to provide a reference for development of a program in management of blood sugar.Methods Using interpretive decriptive phenomenological research,an interview outline based on the theoretical domain framework was developed and face-to-face semi-structured interviews were conducted with 16 aged patients who had Type Ⅱ diabetes in the Department of Endocrinology and Metabolism of a Grade ⅢA hospital in Jiangxi Province.The participants were selected by purposive sampling.Colaizzi 7-step analytical method,in conjunction with Nvivo 11 software,was used to analyse,summarise and extract the themes.Results Seven themes related to the theoretical domain framework were extracted,which included knowledge,skills,environmental context and resources,behavioural adjustment,motivation and goals,emotions and self-efficacy.After refinement,nine sub-themes on major requirement for blood glucose management were extracted,which included the requirements for knowledge and skills in blood sugar management,support from the community and healthcare resources,support from the family,changes in maladaptive behaviours,individualised blood sugar management,motivation for self-management,clarity in goals of blood sugar control,emotional support and psychological adjustment,and support for strengthened beliefs(9 sub-themes).Conclusion Elderly patients with Type Ⅱ diabetes have diverse and individualised needs in management of blood sugar.In the future,healthcare staff should develop appropriate strategies or programs to meet the individual needs of patients by addressing the actual needs of patients,improving the self-management behaviours of patients so as to improve the effects of the blood sugar control.

Objective:To summarize the best evidence for nutrition management of sarcopenia in patients undergoing maintenance hemodialysis (MHD), to guide the development of nutrition management programs.Methods:Using the 6S evidence model, literature on nutrition management of sarcopenia in MHD patients was electronically retrieved from databases and websites including UpToDate, Guidelines International Network, Joanna Briggs Institute Evidence-Based Health Care Center Database, European Society for Clinical Nutrition and Metabolism, UK Kidney Association, PubMed, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, and Wanfang Data. The search period was from database establishment to July 30, 2024. After screening and quality assessment of the literature, evidence was extracted and summarized.Results:A total of 19 articles were included, comprising one clinical decision, six guidelines, five systematic reviews, five expert consensus, and two randomized controlled trials. Twenty-six pieces of evidence were summarized from six aspects of nutrition team establishment and counseling, nutritional screening and assessment, nutritional support, nutrient intake, nutritional monitoring, and health education.Conclusions:The evidence summary on nutrition management of sarcopenia in MHD patients provides a basis for implementing nutritional interventions. Evidence transformation and application should be conducted in accordance with patient preferences and the actual clinical context.

ObjectiveBased on the conjoint analysis of transcriptome and metabolome， the key genes in the phenylpropanoid biosynthesis pathway of Lonicera macranthoides were explored， which provided a basis for further exploring the synthesis and regulation mechanism of phenylpropanoid compounds in "Xianglei" L. macranthoides. MethodsThe stem， leaves， and three flowering flowers of "Xianglei" L. macranthoides were selected as experimental materials to construct transcriptome and metabolome. The transcriptome and metabolomics were conjointly analyzed by the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and weighted correlation network analysis （WGCNA）， and the key genes in the phenylpropanoid biosynthesis pathway of L. macranthoides were explored. ResultsIn this study， 77 differential phenylpropanoids and 315 differential genes were found. Through the joint analysis of transcription and metabolism， nine key differential metabolites and four key genes related to them were finally discovered. Among them， cinnamic acid， 5-O-caffeoylshikimic acid，sinapyl alcohol， and chlorogenic acid were higher in flowers， and the content of the iconic effective component， namely chlorogenic acid，decreased sharply during the withering period. Caffeic acid，ferulic acid， 5-hydroxyconiferaldehyde，p-coumaryl alcohol， and syringin were higher in leaves. These four key genes belong to the cinnamic alcohol dehydrogenase （CAD） family， 4-coumaric acid： Coenzyme A （4CL） family， hydroxycinnamyl transferase （HCT） family， and L-phenylalanine ammonlyase （PAL） family genes. ConclusionAmong the four key genes excavated from L. macranthoides， TRINITY_DN42767_c0_g6 is related to the synthesis of p-coumaryl alcohol and sinapyl alcohol. TRINITY_DN43525_c4_g1 uses caffeic acid，ferulic acid，and cinnamic acid as substrates to catalyze the next reaction. TRINITY_DN47958_c3_g4 correlates with the synthesis of 3-p-coumaroyl quinic acid and caffeoyl-CoA， and TRINITY_DN52595_c1_g2 correlates with cinnamic acid synthesis. These findings provide a basis for further exploring the synthesis and regulation mechanism of phenylpropanoids in "Xianglei" L. macranthoides.

Objective To construct a regional collaborative cloud-based treatment model treatment model for patients with severe road traffic injuries,and to preliminarily evaluate the differences in nursing timeliness indicators and outcomes.Methods The regional collaborative cloud-based treatment platform includes 4 ports,including public security traffic police,pre-hospital emergency center,regional trauma center triage,and regional trauma center resuscitation unit.This forms a standardized real-time interactive treatment process between regional medical services and police for patients with severe road traffic injuries.Using a concurrent control study design,241 patients with severe road traffic injuries admitted to the emergency department of a regional trauma center in Zhejiang Province from May 2022 to May 2024 were selected as the study subjects.Among them,120 patients treated with the regional real-time collaborative cloud-based treatment model were designated as an experimental group,while 121 patients treated with the original trauma care process were designated as a control group.The differences in timeliness indicators and outcomes between the 2 groups were compared.Results The study included 241 patients with severe trauma.After the application of the regional collaborative cloud-based treatment model,the time from the scene of the accident to the hospital,the proportion of information early waming,completion time of pre-examination and triage,waiting time of the trauma team,the time of the first CT,the length of multidisciplinary consultation,and the time for completing hospitalization procedures in the experimental group were shorter than those in the control group(P＜0.05),the proportion of information early waming in the experimental group was 100％(120/120),and the proportion of information early waming in the control group was 52.1％(63/121).The difference between the two groups was statistically significant(P＜0.001).The survival rate of the experimental group was 90.8％(109/120),and that of the control group was 86.0％(104/121).There was no significant difference between the two groups(x2=1.399,P=0.237).Conclusion The regional collaborative cloud-based treatment model improves the timeliness and standardization of the treatment of patients with severe road traffic injury,which has certain reference significance and promotion value.