ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective:To analyse the clinical characteristics of 214 cases of paediatric high altitude pulmonary edema（HAPE）and the efficacy of dexamethasone in adjunctive therapy.Methods:This retrospective study analyzed 214 pediatric cases of HAPE admitted to the Department of Paediatrics of the General Hospital of Tibetan Military between June 2015 to June 2017 and June 2019 to June 2021.Patients were divided into dexamethasone-treated group and dexamethasone-untreated group.Baseline data，clinical characteristics were collected to evaluate the treatment efficacy and drug side effects.Results:There were 107 children in each of the two groups with a median age of 8（5，11）years. The median age of the dexamethasone-treated group was 9（6，12）years and the mean age of the dexamethasone-untreated group was 7（3，10）years. The proportion of male children was 69.60%（149/214）；the onset of illness was mostly concentrated within 72 hours，accounting for 97.20%（208/214）of the cases；83.18%（178/214）of the cases had symptoms of combined upper respiratory tract infection before entering the plateau. The most important clinical symptoms of the children were cough（86.92%，186/214），cyanosis（70.09%，150/214），and shortness of breath（66.36%，142/214）. The proportion of auscultatory rhonchi was 83.18%（178/214），and all cases showed positive findings on chest radiography. After the dexamethasone regimen，the overall cure rate of the children was 94.39%，the average disappearance time of the symptoms and signs was（40.52±7.85）h，and the average hospital stay was（3.60±1.90）d. After treatment with the dexamethasone-free regimen，the overall cure rate was 92.52%，the mean time to disappearance of symptoms and signs was（42.10±7.62）h，and the mean length of stay in the hospital was(3.84±2.08)d. There was no significant difference in the cure rate，the disappearance time of symptoms and signs，and the average hospitalisation days between the two groups（ P>0.05），but a total of 11 children in the dexamethasone-treated group experienced adverse drug reactions，and no children in the dexamethasone-untreated group experienced adverse drug reactions. Conclusion:Han Chinese male children，particularly those with upper respiratory infections，should be closely monitored for HAPE risk within three days of ascending to high altitudes. This study does not recommend the use of dexamethasone for pediatric HAPE due to the lack of therapeutic benefits and potential adverse effects.

Post transplantation diabetes mellitus(PTDM)is one of the common complications after kidney transplantation,with an incidence rate of 4%to 30%.The pharmacological treatment of PTDM after kidney transplantation faces many challenges.It is necessary to consider not only the blood glucose-lowering efficacy of the drugs themselves,but also the impact of the drugs on the function of the transplant kidney.At the same time,the interaction between antihyperglycemic drugs and immunosuppressive agents should be taken into account.Glucagon-like peptide-1 receptor agonist(GLP-1RA)have been widely used for blood glucose control in patients with type 2 diabetes mellitus.Some GLP-1RA can also improve the renal and cardiovascular outcomes of patients,and they have multiple metabolic benefits,such as regulating the lipid and reducing body weight.Clinical studies have suggested that GLP-1RA can be used for blood glucose control in kidney transplant recipients with PTDM,with multiple benefits,including reducing the risk of kidney disease and adverse cardiovascular events,as well as improving metabolism.Moreover,no influence of GLP-1RA application on the blood concentration of immunosuppressive agents in kidney transplant recipients with PTDM has been found.Given the good application potential of GLP-1RA in the treatment of kidney transplant recipients with PTDM,this article reviews the current status and future prospects of GLP-1RA treatment for PTDM,analyzes the differences in effects of different GLP-1RA,and explores their potential mechanisms of action in renal protection and multiple metabolic benefits,providing a basis for clinical application.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.

Objective:To evaluate the efficacy of remimazolam-based anesthesia in daytime laparoscopic cholecystectomy.Methods:In this multicenter, non-inferiority, randomized controlled trial, 300 American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ patients of either sex, aged 18-60 yr, with body mass index of 18-28 kg/m 2, who underwent daytime laparoscopic cholecystectomy under general anesthesia with tracheal intubation at Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, the Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou First People′s Hospital Affiliated to Westlake University School of Medicine, Ningbo No. 2 Hospital, and the Second Affiliated Hospital of Nanchang University from August 2021 to August 2023, were selected and divided into 2 groups ( n=150 each) using a random number table method: remimazolam group (R group) and propofol group (P group). Anesthesia was induced as follows: Sufentanil was intravenously injected at a rate of 0.5 μg/kg, remimazolam was intravenously injected at a rate of 0.3 mg/kg in group R, propofol was intravenously injected at a rate of 2.0-2.5 mg/kg in group P, and cisatracurium besilate was intravenously injected at a rate of 0.2 mg/kg after loss of consciousness in two groups. The patients were mechanically ventilated after tracheal intubation. Anesthesia was maintained as follows: Remimazolam was intravenously injected at a rate of 0.5-1.0 mg·kg -1·h -1 in group R, propofol was intravenously injected at a rate of 4-10 mg·kg -1·h -1 in group P, and remifentanil was intravenously infused at a rate of 0.25-2.00 μg·kg -1·min -1, maintaining intraoperative bispectral index value of 40-60. The success rate of sedation was recorded, and non-inferiority tests were conducted. The time to loss of consciousness, emergence time, extubation time, recovery time of orientation, time of stay in post-anesthesia care unit and occurrence of delayed emergence were recorded. Liver function and renal function were measured before operation and within 24 h after operation. The occurrence of abnormal alanine transaminase, abnormal aspartate transaminase, abnormal creatinine and abnormal urea was recorded. The occurrence of adverse reactions during and after operation was recorded. Results:The success rates of sedation were 98.6% and 99.3% in group R and group P, respectively, there was no statistically significant difference in the success rate of sedation between the two groups ( P>0.05), and the difference in the success rates of sedation between the two groups was -0.007 (95% confidence interval-0.0301-0.0161), which met the pre-set non-inferiority criteria(95% confidence interval >-0.055). Compared with group P, the time to loss of consciousness and recovery time of orientation were significantly prolonged, and the incidence of delayed emergence was increased ( P<0.05), and no statistically significant changes were found in the emergence time, extubation time, time of stay in post-anesthesia care unit and severity of postoperative nausea and vomiting in group R ( P>0.05). There was no statistically significant difference in the abnormal rates of alanine transaminase, aspartate transaminase, creatinine and urea before and after operation between the two groups ( P>0.05). Conclusions:The efficacy of remimazolam-based anesthesia in daytime laparoscopic cholecystectomy is not inferior to that of propofol-based anesthesia.

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.

A recombinant adenovirus(rAd)for expression of Mycobacterium tuberculosis(M.tb)c-di-AMP phosphodiesterase CnpB was constructed,and its induced humoral immune response was detected.The codon-optimized gene of M.tb CnpB was cloned into the adenoviral plasmid pcADV.The recombinant plasmid pcADV-CnpB was transfected into HEK293T cells,and expression was detected with Western blot.The recombinant plasmid pcADV-CnpB and the backbone plasmid were co-transfected into HEK293T cells to obtain the recombinant adenovirus rAd-CnpB.rAd-CnpB was amplified in HEK293T cells,and the target protein expression of rAd-CnpB was detected with Western blot and immunofluorescence.Mice were immunized with rAd-CnpB intranasally,and their sera and bronchoalveolar lavage fluid(BALF)were collected.ELISA was used to detect levels of antigen-specific antibodies.Restriction enzyme digestion and sequencing indicated that the recombinant plasmid pcADV-CnpB was successfully constructed and led to protein expression in eukaryotic cells.rAd-CnpB was packaged and produced in HEK293T cells.After amplification and purification,rAd-CnpB with a titer of 5.53×1010 PFU/mL was obtained.rAd-CnpB led to CnpB expression in HEK293T cells.Intranasal immunization with rAd-CnpB increased levels of IgG and secretory IgA in BALF and led to high levels of IgG in sera.rAd-CnpB,the recombinant adenovirus for expression of c-di-AMP phosphodiesterase CnpB was successfully constructed,and was found to induce antigen-specific humoral and mucosal immune responses through mucosal immunization.Thus,rAd-CnpB may be used in further research on new TB vaccine strategies.