ObjectiveTo investigate the role of silent information regulatory protein （SIRT6）/hypoxia-inducible factor-1α （HIF-1α） pathway in regulating the reprogramming of glucose metabolism in ulcerative colitis （UC） and the mechanism of intervention of Shaoyaotang. MethodsForty-eight c57bL/6 mice were randomly divided into a blank group， a model group， a Mesalazine group （0.42 g·kg^-1）， a Shaoyaotang group （31.08 g·kg^-1）， an inhibitor group （OSS-128167， 50 mg·kg^-1）， and an inhibitor + Shaoyaotang group （50 mg·kg^-1 OSS-128167 + 31.08 g·kg^-1 Shaoyaotang）. A UC model was established by the administration of 2.5% dextran sulfate sodium （DSS） solution for mice in other groups for 7 d， except for the blank group. The mice in each group were treated with saline， Mesalazine， Shaoyaotang， inhibitor， and inhibitor + Shaoyaotang， respectively， for 7 d. The mice were necropsied 24 h after the last administration of the drug. The blood was collected from the orbital region， and colon tissue was taken. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in colon tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect serum interleukin （IL）-10， IL-17， and IL-6 levels. A biochemical method was used to detect glucose and lactate dehydrogenase A （LDHA） levels. Immunohistochemistry （IHC） was employed to detect IL-22 and transforming growth factor-β₁ （TGF-β₁） levels in colon tissue， and Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were used to detect relative protein and mRNA expressions of SIRT6， HIF-1α， and LDHA. ResultsCompared with those of the blank group， disease activity index （DAI） scores of mice in the model group and inhibitor group were significantly increased （P<0.01）. The length of colon tissue was significantly shortened， and colon tissue was congested and eroded. The pathohistological scores were significantly increased （P<0.01）. The levels of serum inflammatory factors IL-17 and IL-6 were significantly elevated， and the levels of IL-10 were significantly decreased （P<0.01）. The protein expressions of IL-22 and TGF-β₁ were significantly reduced in colon tissue （P<0.01）. The relative protein and mRNA expressions of SIRT6 were significantly decreased （P<0.01）， and the relative protein and mRNA expressions of HIF-1α and LDHA and the contents of glucose and lactate were significantly elevated （P<0.01）. The level of inflammation in the colon of the mice in the inhibitor group was more severe than that in the model group （P<0.01）. Compared with the model group， the Mesalazine group， the Shaoyaotang group， and the inhibitor + Shaoyaotang group showed reduced colonic injury， significant decrease in serum IL-17 and IL-6， significant increase in IL-10 （P<0.01）， significant increase in the protein expressions of IL-22 and TGF-β₁ in colon tissue （P<0.01）， significant increase in the protein expressions of SIRT6 and the relative mRNA expressions （P<0.01）， and significant reduction in the protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate （P<0.01）. Compared with those in the Shaoyaotang group， the serum IL-17 and IL-6 were significantly increased， and IL-10 was significantly decreased in the inhibitor + Shaoyaotang group （P<0.01）. The protein expressions of IL-22 and TGF-β₁ in colon tissue were significantly decreased （P<0.01）. The expressions of SIRT6 protein and the relative mRNA expressions were significantly decreased （P<0.01）. The protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate were significantly elevated （P<0.01）. However， the difference between the Shaoyaotang group and the Mesalazine group was not significant. ConclusionShaoyaotang can effectively treat DSS-induced mice with UC through the SIRT6/HIF-1α pathway， and its mechanism of action may be related to the regulation of the SIRT6/HIF-1α pathway and glucose metabolism reprogramming and the inhibition of glycolysis.

ObjectiveTo investigate the role of silent information regulatory protein （SIRT6）/hypoxia-inducible factor-1α （HIF-1α） pathway in regulating the reprogramming of glucose metabolism in ulcerative colitis （UC） and the mechanism of intervention of Shaoyaotang. MethodsForty-eight c57bL/6 mice were randomly divided into a blank group， a model group， a Mesalazine group （0.42 g·kg^-1）， a Shaoyaotang group （31.08 g·kg^-1）， an inhibitor group （OSS-128167， 50 mg·kg^-1）， and an inhibitor + Shaoyaotang group （50 mg·kg^-1 OSS-128167 + 31.08 g·kg^-1 Shaoyaotang）. A UC model was established by the administration of 2.5% dextran sulfate sodium （DSS） solution for mice in other groups for 7 d， except for the blank group. The mice in each group were treated with saline， Mesalazine， Shaoyaotang， inhibitor， and inhibitor + Shaoyaotang， respectively， for 7 d. The mice were necropsied 24 h after the last administration of the drug. The blood was collected from the orbital region， and colon tissue was taken. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in colon tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect serum interleukin （IL）-10， IL-17， and IL-6 levels. A biochemical method was used to detect glucose and lactate dehydrogenase A （LDHA） levels. Immunohistochemistry （IHC） was employed to detect IL-22 and transforming growth factor-β₁ （TGF-β₁） levels in colon tissue， and Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were used to detect relative protein and mRNA expressions of SIRT6， HIF-1α， and LDHA. ResultsCompared with those of the blank group， disease activity index （DAI） scores of mice in the model group and inhibitor group were significantly increased （P<0.01）. The length of colon tissue was significantly shortened， and colon tissue was congested and eroded. The pathohistological scores were significantly increased （P<0.01）. The levels of serum inflammatory factors IL-17 and IL-6 were significantly elevated， and the levels of IL-10 were significantly decreased （P<0.01）. The protein expressions of IL-22 and TGF-β₁ were significantly reduced in colon tissue （P<0.01）. The relative protein and mRNA expressions of SIRT6 were significantly decreased （P<0.01）， and the relative protein and mRNA expressions of HIF-1α and LDHA and the contents of glucose and lactate were significantly elevated （P<0.01）. The level of inflammation in the colon of the mice in the inhibitor group was more severe than that in the model group （P<0.01）. Compared with the model group， the Mesalazine group， the Shaoyaotang group， and the inhibitor + Shaoyaotang group showed reduced colonic injury， significant decrease in serum IL-17 and IL-6， significant increase in IL-10 （P<0.01）， significant increase in the protein expressions of IL-22 and TGF-β₁ in colon tissue （P<0.01）， significant increase in the protein expressions of SIRT6 and the relative mRNA expressions （P<0.01）， and significant reduction in the protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate （P<0.01）. Compared with those in the Shaoyaotang group， the serum IL-17 and IL-6 were significantly increased， and IL-10 was significantly decreased in the inhibitor + Shaoyaotang group （P<0.01）. The protein expressions of IL-22 and TGF-β₁ in colon tissue were significantly decreased （P<0.01）. The expressions of SIRT6 protein and the relative mRNA expressions were significantly decreased （P<0.01）. The protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate were significantly elevated （P<0.01）. However， the difference between the Shaoyaotang group and the Mesalazine group was not significant. ConclusionShaoyaotang can effectively treat DSS-induced mice with UC through the SIRT6/HIF-1α pathway， and its mechanism of action may be related to the regulation of the SIRT6/HIF-1α pathway and glucose metabolism reprogramming and the inhibition of glycolysis.

BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.

Due to its synergistic effects and reduced side effects, combination therapy has become an important strategy for treating complex diseases. In traditional Chinese medicine (TCM), the "monarch, minister, assistant, envoy" compatibilities theory provides a systematic framework for drug compatibility and has guided the formation of a large number of classic formulas. However, due to the complex compositions and diverse mechanisms of action of TCM, it is difficult to comprehensively reveal its potential synergistic patterns using traditional methods. Synergistic prediction based on molecular compatibility theory provides new ideas for identifying combinations of active compounds in TCM. Compared to resource-intensive traditional experimental methods, artificial intelligence possesses the ability to mine synergistic patterns from multi-omics and structural data, providing an efficient means for modeling and optimizing TCM combinations. This paper systematically reviews the application progress of AI in the synergistic prediction of TCM active compounds and explores the challenges and prospects of its application in modeling combination relationships, thereby contributing to the modernization of TCM theory and methodological innovation.
Artificial Intelligence ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Drug Synergism

[Objective]To present Professor HE Ruoping's clinical experience in treating esophageal cancer.[Methods]Through the follow-up study,relevant medical cases were collected,organized and analyzed to describe the clinical experience of Professor HE Ruoping in the treatment of esophageal cancer in terms of the etiology and mechanism of the disease,and the rules and methods of treatment.A medical record was attached as evidence.[Results]Professor HE Ruoping believes that the pathogenic characteristic of esophageal cancer is a deficiency in origin and an enrichment in symptom.Deficiency in origin indicates weakness in Zang and Fu,while enrichment in symptom suggests there're Qi stagnation,phlegm,blood stasis and hot toxin."Strengthen healthy Qi,eliminate pathogens,and treat according to the symptoms"is the therapeutic approach used to treat esophageal cancer.The aim is to strengthen Zang and Fu,specifically the spleen,stomach and kidney.Treatments for anti-cancer mainly include moving Qi and dissipating mass,eliminating phlegm and removing blood stasis,clearing heat and toxin,etc.It emphasizes that the elimination of pathogenic factors should be carried out in an appropriate manner and should not hurt the body's positive Qi.Treating according to the symptoms means treating patients with various kinds of uncomfortable symptoms after surgery,radiotherapy and local stent placement to improve their quality of life.In the attached medical case,the above three principles were carried through the whole treatment process,and achieved good therapeutic effect.[Conclusion]By expounding the principle of"strengthen healthy Qi,eliminate pathogens and treat diseases according to the symptoms",it has summarized Professor HE Ruoping's clinical experience in the treatment of esophageal cancer,which is of some significance for the clinical treatment of this disease.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To investigate the prevalence of frailty among elders aged ≥60 years in the Beijing community and analyze the risk factors of frailty.Methods:This is a cross-sectional study. A total of 1936 older persons in Baizhifang Community in Beijing were included between May and September 2023. Their frailty was evaluated by Fried Frailty Phenotype Scale. Mini Nutritional Assessment-Short Form (MNA-SF), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS) were used to evaluate nutritional status, physical function, and depression, respectively. The prevalence and risk factors of frailty among the elderly in the community were analyzed.Results:A total of 168 individuals met the criteria for frailty, and the prevalence of frailty was 8.7%. Compared to the non-frail group, the frail group was predominantly female (71.4% vs 62.2%; χ 2=5.59, P=0.018), older [(72.1±6.6) vs (69.9±6.0) ages; t=-5.25, P<0.001], unmarried (1.8% vs 0.8%; χ 2=8.60, P=0.014), with lower education levels (10.7% vs 3.5%; χ 2=23.38, P<0.001), poorer self-assessed health (22.6% vs 6.5%; χ 2=69.80, P<0.001), lower MNA-SF scores [(12.2±2.2) vs (13.0±1.4) scores; t=6.29, P<0.001], lower SPPB scores [(8.4±1.9) vs (10.2±1.6) scores; t=14.62, P<0.001], higher GDS scores [(4.0±3.8) vs (1.9±2.1) scores; t=-11.48, P<0.001], and worse vision, hearing, and olfactory functions (48.2% vs 34.1%, 36.9% vs 23.0%, 9.5% vs 3.0%; χ 2=13.37, 16.11, 40.58, all P<0.001). They were also more likely to suffer from hypertension (70.8% vs 56.7%; χ 2=12.52, P<0.001), diabetes (42.3% vs 29.4%; χ 2=12.06, P<0.001), osteoarthritis (46.4% vs 30.3%; χ 2=18.39, P<0.001) and stroke (19.0% vs 13.3%; χ 2=4.28, P=0.039). Logistic regression analysis showed that frailty was independently associated with nutritional status ( OR=0.8, 95% CI: 0.7-0.9, P<0.001), depressive symptoms ( OR=1.1, 95% CI: 1.1-1.2, P<0.001), olfactory function ( OR=2.1, 95% CI: 1.4-3.0, P<0.001; OR=2.9, 95% CI: 1.4-5.9, P=0.003), and physical function ( OR=0.6, 95% CI: 0.6-0.7, P<0.001) after adjusting for covariates. Conclusions:The prevalence of frailty among elderly people in community is relatively high. Frailty in community elders is associated with physical function, psychological function, nutritional status, and olfactory function decline.

Objective:To analyze mobility limitation condition and its relationship with cognitive function in community-dwelling elderly.Methods:In this cross-sectional study, a total of 1 935 older adults aged≥60 years were recruited from May to September 2023 in Beijing Baizhifang Community Health Service Center and its five subordinate health service stations (Baizhifang Hutong health service station, Nancaiyuan community health service station, Youanmen community health service station, Younei West Street health service station and Shuanghuaili community health service station). The Short Physical Performance Battery (SPPB) was used to assess the mobility capacity of the elderly, and the elderly were divided into two groups with SPPB, the elderly with a SPPB≤9 points were grouped into mobility limitation group (645 cases), and the ones with a SPPB≥10 points were considered with normal mobility capacity (1 290 cases). The cognitive function of the older adults was assessed with the mini-mental state examination; and the gender, age, calf circumference, history of chronic disease, frailty status, cognitive function, nutritional status, depression status, hearing and vision condition of the two groups were compared with χ2 test or Mann-Whitney U non-parametric test. Multiple logistic regression analysis was used to analyze the mobility limitation and its relationship with cognitive function in the older adults. Results:Mobility limitation was found in 33.33% (645/1 935) of community-dwelling older adults. The proportions of advanced age, female, hypertension, diabetes, coronary heart disease, stroke, chronic obstructive pulmonary disease, frailty, depression, cognitive impairment, hearing decline, and vision decline in the mobility limitation group were all significantly higher than those in the normal mobility capacity group (31.32% vs 13.41%, 69.92% vs 59.61%, 65.27% vs 54.03%, 33.80% vs 28.60%, 27.91% vs 19.53%, 17.83% vs 11.47%, 10.54% vs 7.36%, 13.18% vs 2.02%, 18.45% vs 6.59%, 14.73% vs 7.75%, 30.54% vs 20.31%, 45.58% vs 30.39%) (all P<0.05). Advanced age ( OR=2.542, 95% CI: 1.977-3.269), female ( OR=1.736, 95% CI: 1.390-2.167), stroke ( OR=1.426, 95% CI: 1.065-1.911), depression ( OR=2.292, 95% CI: 1.656-3.174), cognitive impairment ( OR=1.601, 95% CI: 1.154-2.220), frailty ( OR=5.199, 95% CI: 3.219-8.397) and vision decline ( OR=1.405, 95% CI: 1.124-1.756) were all positively correlated with the mobility limitation in the community-dwelling older adults (all P<0.05). Conclusion:The older adults in the community have a higher risk of mobility limitation, mobility limitation is a positive correlation factor of cognitive impairment.

Asthma is a common chronic respiratory disease characterized by repeated attacks and prolonged illness.Traditional Chinese medicine believes that the formation of Sugen is the core pathogenesis of repeated asthma attacks.By tracing the origin of Sug-en theory,summarizing the connotation of ancient asthma Sugen theory and the innovative understanding of modern medical scholars on asthma Sugen,this paper explores the potential connection between the traditional Chinese medicine Sugen theory and the pathogenesis of modern asthma,in order to provide new ideas and methods for the treatment and research of asthma.

Objective·To investigate the potential causal relationship between type l diabetes and colorectal cancer by using Mendelian randomization(MR).Methods·Two-sample bidirectional MR was used to investigate the causal relationship between type 1 diabetes and colorectal cancer.All research data were collected from the IEU Open GWAS Project database.The dataset of type l diabetes included 9 266 cases and 15 574 controls,with correlation analysis in 12 783 129 single nucleotide polymorphisms(SNPs);the dataset of colorectal cancer included 5 657 cases and 372 016 controls,with correlation analysis in 29 999 696 SNPs.The instrumental variables SNPs were screened.The results derived from the inverse-variance weighted(IVW)method were used as the main indicator of effect.The results derived from other four methods,namely MR-Egger regression,weighted median,simple mode,and weighted mode,were used as reference.Sensitivity was analyzed with the leave-one-out method.Heterogeneity was analyzed with Cochran's Q test by using both IVW and MR-Egger methods.Pleiotropy was analyzed with MR-pleiotropy function,and Steiger test was used for directional research.The colocation analysis was used to find out whether the causal relationship between type 1 diabetes and colorectal cancer was caused by the same SNP.The genetic correlation between 2 diseases was analyzed by using the linkage disequilibrium score regression(LDSC).All tests were analyzed by using R language software(version 4.3.1).Results·After being screened,a total of 33 instrumental variables(SNPs)were used.The heterogeneity test results showed that there was heterogeneity among the SNPs(IVW and MR-Egger:P＜0.05),so the effect evaluation was based on the results of the random effect model.MR analysis showed that type 1 diabetes had a significant causal effect on colorectal cancer(P＜0.05)by using IVW,MR-Egger,weighted median and weighted mode.Sensitivity analysis showed that the results were stable.Pleiotropy was not detected in pleiotropy test(P＞0.05).Steiger test showed that the effect of type l diabetes on colorectal cancer was not interfered with by the reverse effect.Reverse MR analysis showed no causal effect of colorectal cancer on type l diabetes(P＞0.05).The results of colocalization analysis showed that the probability of H4 hypothesis was 45.7％,and the causal relationship between the 2 diseases was not caused by the same SNP in the gene sequences.LDSC analysis demonstrated that there was no genetic correlation between the two diseases.Conclusion·Type 1 diabetes may promote colorectal cancer,but colorectal cancer has no effect on type 1 diabetes.