Objective To observe the effects of auricular point sticking on chronic soft tissue injury of knee joint caused by military training.Methods A total of 77 patients with chronic soft tissue injury of the knee caused by military training admitted to No.901 Hospital of Joint Logistics Support Force from January to November 2022 were enrolled in this study.Auricular point sticking therapy was applied in all the patients.Visual analogue scale(VAS)score,the range of motion of the knees and knee temperature were recorded before and after treatment.Results The VAS score was 6.10±1.23,3.03±0.95,and 2.70±0.93 before treatment,15 min and 24 h after treatment,respectively.The VAS score after treatment were significantly lower than that before treatment(P<0.01).The range of motion of the knees was(79.08±11.59)°,(104.79±8.49)°,and(108.08±9.36)° before treatment,15 min and 24 h after treatment,respectively.The knee flexion after treatment were significantly higher than that before treatment(P<0.01).The knee temperature at 15 min after treatment was significantly higher than that before treatment([30.68±1.38]℃vs.[29.30±1.41]℃,P<0.01).Conclusion Auricular point sticking can reduce the pain of patients with chronic soft tissue injury of the knee and increase the range of joint motion.It is safe and simple and has good compliance.

Obesity usually exacerbates the immunosuppressive tumor microenvironment (ITME), hindering CD8⁺ T cell infiltration and function, which further represents a significant barrier to the efficacy of immunotherapy. Herein, a multifunctional liposomal system (CR-Lip) for encapsulating celastrol (CEL) was utilized to remodel obesity-related ITME and improve cancer immunotherapy, wherein Ginsenoside Rg3 (Rg3) was detected interspersed in the phospholipid bilayer and its glycosyl exposed on the surface of the liposome. CR-Lip had a relatively uniform size (116.5 nm), facilitating favorable tumor tissue accumulation through the interaction between Rg3 and glucose transporter 1 overexpressed in obese tumor cells. Upon reaching the tumor region, CR-Lip was found to induce the immunogenic cell death (ICD) of HFD tumor cells. Notably, the level of PHD3 in HFD tumor cells was effectively boosted by CR-Lip to effectively block metabolic reprogramming and increase the availability of major free fatty acids fuel sources. In vivo, experiments studies revealed that the easy-obtained nano platform stimulated enhanced the production of various cytokines in tumor tissues, DC maturation, CD8⁺ T-cell infiltration, and synergistic anticancer therapeutic potency with aPD-1 (tumor inhibition rate = 82.1%) towards obesity-related melanoma. Consequently, this study presented an efficacious approach to tumor immunotherapy in obese mice by encompassing tumor eradication, inducing ICD, and reprogramming metabolism. Furthermore, it offered a unique insight into a valuable attempt at the immunotherapy of obesity-associated related tumors.

Colorectal tumorigenesis generally progresses from adenoma to adenocarcinoma, accompanied by dynamic changes in the tumor microenvironment (TME). A randomized controlled trial has confirmed the efficacy and safety of Shen-Bai-Jie-Du decoction (SBJDD) in preventing colorectal tumorigenesis. However, the mechanism remains unclear. In this study, we employed single-cell RNA sequencing (scRNA-seq) to investigate the dynamic evolution of the TME and validated cell infiltration with multiplex immunohistochemistry and flow cytometry. Bulk RNA sequencing was utilized to assess the underlying mechanisms. Our results constructed the mutually verifiable single-cell transcriptomic atlases in Apc ^Min/+ mice and clinical patients. There was a marked accumulation of CCL22⁺ dendritic cells (DCs) and an enhanced immunosuppressive action, which SBJDD and berberine reversed. Combined treatment with cholesterol and lipopolysaccharide induced characteristic gene expression of CCL22⁺ DCs, which may represent "exhausted DCs". Intraperitoneal injection of these DCs after SBJDD treatment eliminated its therapeutic effects. TMEM131 derived CCL22⁺ DCs generation by TNF signaling pathway and may be a potential target of berberine in retarding colorectal tumorigenesis. These findings emphasize the role of exhausted DCs and the regulatory mechanisms of SBJDD and berberine in colorectal cancer (CRC), suggesting that the multi-component properties of SBJDD may help restore TME homeostasis and offer novel cancer therapy.

Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

ObjectiveTaking the oligosaccharides in Rehmanniae Radix（RR） as the research object， the content determination method based on high performance liquid chromatography-evaporative light scattering detection（HPLC-ELSD） and thin layer chromatography（TLC） identification method were established to explore the content and distribution of oligosaccharides in different RR herbs and decoction pieces. MethodA total of 10 batches of fresh and raw RR， 12 batches of RR decoction pieces and Rehmanniae Radix Praeparata（RRP） were collected. A TLC identification method for fructose， sucrose， manninotriose， raffinose and stachyose in RR was established by using silica gel G thin-layer plates with ethyl acetate-water-anhydrous formic acid-glacial acetic acid（12∶6∶5∶4） as the developing agent and 10% sulfuric acid-ethanol solution as chromogenic agent. A HPLC-ELSD was used to determine the contents of fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose in different RR herbs and decoction pieces. Then principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） were used to analyze the contents of 7 kinds of saccharides in RR herbs and decoction pieces， and the differential components were screened with the value of variable importance in the projection（VIP）>1. ResultThe results of TLC identification showed that fresh RR， raw RR and its decoction pieces showed spots of the same color on the corresponding positions with the control products of stachyose， raffinose and sucrose， while the TLC of RRP showed spots of the same color at corresponding positions to manninotriose and fructose controls. The results of methodological investigations of 7 analytes met the requirements of determination. Only glucose， sucrose， raffinose and stachyose were detected in 10 batches of fresh RR and 10 batches of raw RR herbs， the average contents of which were 0.84%， 4.62%， 2.42% and 57.90% in fresh samples， while those were 3.16%， 9.36%， 7.05% and 38.10% in raw samples， respectively. In 12 batches of RR decoction pieces， the contents of the above seven sugars（fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose） were 1.68%， 4.27%， 9.96%， 0.53%， 6.85%， 3.05% and 37.52%， respectively. In 12 batches of RRP， the contents of the above seven sugars were 10.62%， 11.01%， 1.25%， 3.35%， 1.12%， 28.16% and 6.39%， respectively. The results of multivariate statistical analysis showed that fresh RR， raw RR and RRP could be distinguished from each other by the contents of the 7 sugars， and the main differential components were stachyose， sucrose， raffinose and manninotriose. ConclusionIn terms of oligosaccharides， the contents and types of saccharides in different herbs and decoction pieces of RR are quite different， and the TLC identification method based on this can be used to distinguish raw RR from RRP， which can lay a foundation for improving the quality standard of RR and developing and applying oligosaccharides in different processed products of RR.

Objective To investigate the clinical significance of serum S100 calcium binding protein(S100 A4)and S100A12 in patients with severe traumatic brain injury(sTBI).Methods A total of 147 sTBI pa-tients admitted to Handan Central Hospital from March 2021 to March 2023 were selected as the sTBI group,and 50 healthy subjects who underwent physical examination in Handan Central Hospital during the same pe-riod were selected as the control group.The correlation between S100A4,S100A12 levels and brain injury markers and the influencing factors of early death in sTBI patients were analyzed,and the predictive value of serum S100A4 and S100A12 for early death in sTBI patients was studied.Results The serum levels of S100A4,S100A12,myelin basic protein(MBP),S100B and neuron specific enolase(NSE)in sTBI group were significantly higher than those in control group(P＜0.05).The serum levels of S100A4 and S100A12 were positively correlated with MBP,NSE and S100B in sTBI patients(P＜0.05).Multivariate Logistic regression analysis showed that decreased Glasgow coma scale(GCS)score on admission and increased serum levels of S100A4,S100A12,MBP,NSE and S100B were risk factors for early death in sTBI patients(P＜0.05).Receiv-er operating characteristic curve showed that the combination of serum S100A4 and S100A12 with GCS score,MBP,NSE and S100B was superior to any single detection in predicting early death in sTBI patients.Conclu-sion The serum levels of S100A4 and S100A12 are increased in sTBI patients,which are related to the aggra-vations of brain injury and early death.The combined detection of S100A4 and S100A12 has a good predictive value for early death in sTBI patients.

Objective:To analyze the role of dandelion and mulberry leaf in the progression of acute myeloid leukemia(AML)by network pharmacology,and to clarify the active components and their mechanisms in treating AML.Methods:The active components of dandelion and mulberry leaf were screened by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).The targets were predicted by SwissTargetPrediction Database.The AML-related genes and protein targets were retrieved from the SymMap Database,the GeneCards Human Gene Database,the DisGeNET Database,and the Online Mendelian Inheritance in Man(OMIM)Database.The AML-related genes and target genes of dandelion and mulberry leaf were compared by comparative analysis and were identify by the enrichment genes,followed by Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis.The drug-active component-target network and protein-protein interaction(PPI)network were constructed by Cytoscape 3.8.0 software,and the core genes were selected by CytoNCA plugin;the molecular docking was conducted by AutoDock software.Results:After filtering by databases,39 active components were identified,and 148 common targets between dandelion-mulberry leaf and AML were collected.The GO functional enrichment analysis mainly involved cytokine-mediated signaling pathways,positive regulation of kinase activity,and oxidative stress responses.The KEGG signaling pathway enrichment analysis focused on the phosphatidylinositol 3 kinase/protein kinase B(PI3K-AKT)signaling pathway,the tumor necrosis factor(TNF)signaling pathway,and the Janus kinase/signal transducer and activator of transcription(JAK-STAT)signaling pathway.The key targets were identified by topological analysis including signal transducer and activator of transcription 3(STAT3),epidermal growth factor receptor(EGFR),protein kinase B1(AKT1),recombinant human epidermal growth factor(EGF),vascular endothelial growth factor A(VEGFA),oncogene MYC,tumor protein P53(TP53),mitogen-activated protein kinase 3(MAPK3),cysteiny asparate specific protease-3(CASP3),oncogene SRC,heat shock protein 90 alpha family class A member 1(HSP90AA1),tenascin XB1(CTNNB1),phosphoinositide kinase-3 catalytic subunit alpha(PIK3CA),interleukin 6(IL-6),TNF,mitogen-activated protein kinase 1(MAPK1),and phosphatidylinositide kinase-3 regulatory subunit 1(PIK3R1).The molecular docking results showed the highest affinity pairing to be taraxerol with MYC(-8.74 kcal·mol-1),and quercetin,kaempferol,luteolin,and artemetin demonstrated good binding affinities with various targets.Conclusion:The main active components of dandelion-mulberry leaf,such as quercetin,taraxerol,kaempferol,luteolin,and artemetin,may exert the anti-AML effect by regulating AKT1,STAT3,HSP90AA1,IL-6,and MAPK1;regulation the PI3K-AKT signaling pathway may be the critical mechanism of anti-AML effect by dandelion-mulberry leaf.

Over the past decade, research has increasingly identified unique dysregulations in lipid metabolism within the tumor microenvironment (TME). Lipids, diverse biomolecules, not only constitute biological membranes but also function as signaling molecules and energy sources. Enhanced synthesis or uptake of lipids in the TME significantly promotes tumorigenesis and proliferation. Moreover, lipids secreted into the TME influence tumor-resident immune cells (TRICs), thereby aiding tumor survival against chemotherapy and immunotherapy. This review aims to highlight recent advancements in understanding lipid metabolism in both tumor cells and TRICs, with a particular emphasis on exogenous lipid uptake and endogenous lipid de novo synthesis. Targeting lipid metabolism for intervention in anticancer therapies offers a promising therapeutic avenue for cancer treatment. Nano-drug delivery systems (NDDSs) have emerged as a means to maximize anti-tumor effects by rewiring tumor metabolism. This review provides a comprehensive overview of recent literature on the development of NDDSs targeting tumor lipid metabolism, particularly in the context of tumor immunotherapy. It covers four key aspects: reprogramming lipid uptake, reprogramming lipolysis, reshaping fatty acid oxidation (FAO), and reshuffling lipid composition on the cell membrane. The review concludes with a discussion of future prospects and challenges in this burgeoning field of research.

Objective To explore the process and main behavior characteristics of behavioral characteristics of patients with recurrent hypoglycemia in the degeneracy of blood glucose management.Methods A mixed-method convergent design was used to collect data.From June 2022 to April 2023,382 patients with recurrent hypoglycemia were admitted to the endocrine department of a tertiary hospital in Jiangsu were recruited to score of ego depletion.K-means clustering was conducted to analyze the distribution characteristics of patients'characteristics in blood glucose management.At the same time,19 patients who were selected from the participants of the quantitative study were recruited to attend semi-structured interviews.Results Quantitative results analysis:the average score of blood glucose management loss was(49.20±6.58),and the average scores of cognitive control,behavioral control and emotional control were(17.90±4.12),(15.49±3.64)and(15.81±3.58),respectively.The results of cluster analysis showed that behavioral characteristics could be divided into 3 groups:a cognitive depletion group,an emotional depletion group and a self-control group.Qualitative data analysis:the process of deterioration of management in patients included 3 major themes,including the antecedents of ego depletion,the process of ego depletion and the aftereffects of ego depletion.Analysis of the mixed results showed that the status of ego depletion is serious;patients ignore the behavioral elements of active participation in blood glucose management,show many irrational decision-making behaviors,and the degradation behavior characteristics of patients'blood glucose management are different.Conclusion The degeneration behavior of blood glucose management was serious and affected by single or multiple factors,continuously consuming self-control energy and causing ego depletion.To promote the long-term maintenance of blood glucose management,priority should be given to take actions to enhance patients'perceptions,emotion and behaviors,help them learn about the possible blood glucose changes,improve their understanding and recognition of the value of scientific management.