Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To analyze the clinical characteristics of cancer related anemia(CRA)in older cancer patients undergoing multi-line anti-tumor treatment.Methods A cross-sectional study was conducted,including patients with CRA who were≥65 years old and had received or were currently undergoing multi-line treatment at 9 hospitals in Beijing from June 1,2018 to September 30,2023.Data on gender,age,past history,family history,tumor type,metastasis site,clinical symptoms,blood routine,specialized examination for anemia,anti-tumor and anemia correction treatment were collected.The basic characteristics of the included patients,clinical symptoms,the status of blood cell reduction,treatment conditions,and the distribution of traditional Chinese medicine(TCM)syndrome characteristics were analyzed.Results A total of 602 patients were included.The tumor types included lung cancer,colorectal cancer,gastric cancer,esophageal cancer,breast cancer,gynecological tumors,lymphoma.The overall median hemoglobin(HGB)level was 99.00(88.00,107.00)g/L.The HGB levels of patients with different tumor types showed significant differences(P<0.001).The HGB levels of patients with gynecological tumors were significantly lower than those of patients with colorectal cancer,lung cancer and esophageal cancer(P<0.05).The most common clinical symptoms were fatigue,loss of appetite,irregular bowel movements and pain.In terms of anti-tumor treatment,405 patients were receiving multi-line anti-tumor treatment(including combined chemotherapy,combined radiotherapy,combined targeted therapy,and combined immunotherapy),197 patients were receiving symptomatic supportive treatment after multi-line anti-tumor treatment.In terms of anemia correction treatment,183 patients received erythropoietin,folic acid,iron,vitamin B12,or blood transfusion,while 293 patients received TCM for correcting anemia(including Chinese patent medicines,Chinese herbal decoctions,combinations of Chinese patent medicines and Chinese herbal decoctions).Specialized tests for anemia,such as serum iron,total iron binding capacity,transferrin saturation,transferrin,erythropoietin et al,have a detection rate of only 3.65%～27.91%.In terms of the characteristics of TCM syndromes,the main TCM syndrome types of the patients were as follows:syndrome of spleen-stomach weakness,syndrome of qi and blood deficiency,syndrome of heart-spleen deficiency,syndrome of spleen-kidney yang deficiency,syndrome of liver and kidney yin deficiency.Some patients also have the accompanying symptoms of internal binding of static blood and poison,phlegm dampness retention.Further comparison revealed that the HGB level of older patients with CRA who had syndrome of spleen-stomach weakness was significantly lower than patients with other symptom types(P<0.001).The HGB level of patients with syndrome of qi and blood deficiency was significantly lower than patients with syndrome of spleen-kidney yang deficiency(P<0.01)and syndrome of liver and kidney yin deficiency(P<0.001).Patients with symptoms of internal binding of static blood and poison,or symptoms of phlegm dampness retention had significantly lower HGB levels compared to those without accompanying symptoms(P<0.01).Conclusion The rate of specialized blood test for anemia in older patients with CRA was relatively low.The most common TCM syndrome types were syndrome of spleen-stomach weakness and syndrome of qi and blood deficiency.The overall treatment rate was also low.The screening,specialized diagnosis and monitoring of older patients with CRA need to be given more attention,and treatment methods such as TCM,Western medicine,and integrated TCM-Western medicine should be selected based on the patient's condition.

In recent years,the incidence and mortality of heatstroke have been increasing annually alongside global warming,with a marked rise in cases exhibiting atypical symptoms.To address the increasingly complex challenges in heatstroke prevention and treatment,Heatstroke Prevention and Treatment Research Center of Chinese PLA,Expert Group of Heatstroke Prevention and Treatment of Chinese PLA,and Chinese PLA Professional Committee of Critical Care Medicine have jointly developed this guideline(2025 edition).Utilizing the Grading of Recommendations Assessment,Development and Evaluation(GRADE)system,Appraisal of Guidelines for Research and Evaluation(AGREE)criteria,and Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards,and based on the 2015 draft"Expert Consensus on the Standardized Diagnosis and Treatment of Heatstroke"and the 2019"Chinese Expert Consensus on the Diagnosis and Treatment of Heatstroke",this guideline has been crafted.This guideline provides 25 evidence-based recommendations to guide the prevention,treatment and research of heatstroke,which thoroughly covers 8 critical domains:clinical classification,pathophysiological mechanisms,clinical manifestations,diagnostic criteria,differential diagnosis,treatment protocols,rehabilitation and return to work,and prevention.

AIM To investigate the clinical effects of Supplemented Gegen Qinlian Decoction combined with acupuncture on patients with ulcerative colitis of Large Intestinal Dampness-heat Pattern.METHODS One hundred and twenty patients were randomly assigned into control group(60 cases)for 1-month administration of Pefikang Capsules and Mesalazine Sustained Release Granules,and observation group(60 cases)for 1-month administration of Supplemented Gegen Qinlian Decoction,acupuncture,Pefikang Capsules and Mesalazine Sustained Release Granules.The changes in clinical effects,symptom remission time,TCM syndrome scores,Geboes index,lesion activity index,Baron score,inflammatory factors(IL-6,IL-8,TNF-α),immune function indices(IgA,IgG,IgM),IBDQ score and recurrence rate were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05),along with shorter symptom remission time(P＜0.05)and lower recurrence rate(P＜0.05).After the treatment,the two groups displayed decreased TCM syndrome scores,Geboes index,lesion activity index,Baron score,inflammatory factors,IgG,IgM(P＜0.05),and increased IBDQ score(P＜0.05),especially for the observation group(P＜0.05).CONCLUSION For the patients with ulcerative colitis of Large Intestinal Dampness-heat Pattern,Gegen Qinlian Decoction combined with acupuncture can improve clinical symptoms,promote disease recovery,enhance immune functions and life quality,and reduce recurrence rate.

Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.

In recent years,the incidence and mortality of heatstroke have been increasing annually alongside global warming,with a marked rise in cases exhibiting atypical symptoms.To address the increasingly complex challenges in heatstroke prevention and treatment,Heatstroke Prevention and Treatment Research Center of Chinese PLA,Expert Group of Heatstroke Prevention and Treatment of Chinese PLA,and Chinese PLA Professional Committee of Critical Care Medicine have jointly developed this guideline(2025 edition).Utilizing the Grading of Recommendations Assessment,Development and Evaluation(GRADE)system,Appraisal of Guidelines for Research and Evaluation(AGREE)criteria,and Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards,and based on the 2015 draft"Expert Consensus on the Standardized Diagnosis and Treatment of Heatstroke"and the 2019"Chinese Expert Consensus on the Diagnosis and Treatment of Heatstroke",this guideline has been crafted.This guideline provides 25 evidence-based recommendations to guide the prevention,treatment and research of heatstroke,which thoroughly covers 8 critical domains:clinical classification,pathophysiological mechanisms,clinical manifestations,diagnostic criteria,differential diagnosis,treatment protocols,rehabilitation and return to work,and prevention.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

Objective:To investigate the predictive value of circulating free DNA(cfDNA)combined with interleukin 10(IL-10)in predicting central nervous system infiltration(CNSI)in diffuse large B-cell lymphoma(DLBCL).Methods:The clinical data of 63 patients with DLBCL in our hospital from May 2021 to April 2023 were retrospectively analyzed.The 63 patients were divided into CNSI group(15 cases)and non-CNSI group(48 cases)base on whether CNSI occurred.The age,sex,Ann Arbor stage,ECOG score,IPI risk,CNS-IPI risk,number of extranodal sites involved,bone marrow involvement,hypertrophic disease,B symptoms,source cells,glucose quantification,Pandy test,cerebrospinal fluid(CSF)chlorine,CSF nucleated cell count,CSF protein,peripheral blood cfDNA,and IL-10 status were compared between the two groups.The correlation between cfDNA,IL-10 in peripheral blood and CSF protein was analyzed by Pearson correlation analysis.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of peripheral blood cfDNA and IL-10 on secondary CNSI in DLBCL patients.The last follow-up was on November 30,2023.Kaplan-Meier method was used to calculate the time of secondary CNSI in the non-CNSI group.Results:The IPI risk,CNS-IPI risk,number of extranodal sites involved,and CSF protein in the CNSI group were significantly higher than those in the non-CNSI group(all P＜0.05).The levels of cfDNA and IL-10 in peripheral blood of CNSI group were significantly higher than those of non-CNSI group(both P＜0.01).cfDNA and IL-10 in peripheral blood were both positively correlated with CSF protein(r=0.402 4,0.315 1).ROC curve analysis showed that peripheral blood cfDNA and IL-10 had certain predictive value for CNSI,and the area under the curve(AUC)was 0.829 and 0.742,respectively.The AUC of the combined detection was 0.910,with a sensitivity of 80.00％and a specificity of 93.70％.The diagnostic efficacy was significantly higher than that of the two prediction values alone.The median follow-up time was 20(6-31)months.Non-CNSI patients were grouped based on peripheral blood cfDNA combined with IL-10 positive or negative pairs.The time of secondary CNSI in positive group was significantly shorter than that in negative group(P＜0.05).Conclusion:cfDNA and IL-10 in peripheral blood of DLBCL patients with CNSI are significantly increased,and the combined detection of cfDNA and IL-10 has good predictive value for CNSI.

Objective To analyze the serum metabolomic changes of preterm infants with bronchopulmonary dysplasia(BPD)at postmenstrual age(PMA)36 weeks,screen potential biomarkers and associated metabolic pathways,and assess their relationship with short-term respiratory outcomes.Methods A retrospective case-control study was conducted.Infants with gestational age 28-32 weeks admitted to the Children's Hospital Affiliated to Zhengzhou University from January to December 2024 were included.Twenty infants with BPD and 20 gestational age-,birth weight-,and sex-matched non-BPD preterm infants were included.Serum collected at PMA 36 weeks was subjected to untargeted metabolomics analysis,and associations with short-term respiratory outcomes were analyzed.Results Thirteen potential biomarkers distinguishing BPD were identified(area under the curve>0.75,P<0.05).Eight biomarkers—including terephthalic acid,phosphatidylinositol,fumarate,and lysophosphatidic acid—were significantly upregulated(FC≥1.5),while five biomarkers,such as 7α-hydroxy-3-oxo-4-cholestenoate ester and phosphatidylcholine,were significantly downregulated(FC≤1/1.5).Pathway analysis indicated five pathways associated with BPD,including glycerophospholipid metabolism and phenylalanine metabolism.Dysregulation of glycerophospholipid and bile acid metabolism may affect adverse short-term respiratory outcomes in infants with BPD.Conclusions The 13 significantly different metabolites may serve as biomarkers for the diagnosis of BPD.Glycerophospholipid metabolism is associated with the occurrence of BPD and with adverse short-term respiratory outcomes.