Objective:To investigate the correlation between the expression of GLI1 and im-mune invasion and clinical prognosis in gastric cancer.To study the effect of GLI1 expression on drug resistance in gastric cancer.Methods:The expression difference of GLI1 in gastric cancer and normal tissues was analyzed by using TCGA database,and the effect of clinical features and GLI1 gene ex-pression level on prognosis of patients with gastric cancer was analyzed.The correlation between GLI1 gene expression and tumor immune cell infiltration in gastric cancer tissues was analyzed to explore its influence on drug resistance of chemotherapy drugs and targeted drugs.Clinical samples were collect-ed to analyze the difference of GLI1 expression in gastric cancer and paracancer tissues.Results:The expression of GLI1 in gastric cancer tissues was 1.7 times that in normal tissues,and the overall sur-vival and disease-free survival of patients with high expression are shorter than those with low ex-pression(P＜0.05).The interstitial score,immune score and abundance of immunoinfiltrating cells were higher in the high expression of GLI1 in gastric cancer tissues.High expression of GLI1 reduces drug sensitivity and is positively correlated with the expression of immune checkpoint markers PDCD1(P＜0.05).GLI1 expression was significantly increased in patients with subdifferentiated gastric cancer.Conclusions:GLI1 expression is associated with the prognosis and immune infiltration of patients with gastric cancer,and it may lead to poor prognosis of patients by regulating chemotherapy resis-tance,which may be a potential therapeutic target and molecular marker for gastric cancer.

Chemotherapy-induced complications, particularly lethal cardiovascular diseases, pose significant challenges for cancer survivors. The intertwined adverse effects, brought by cancer and its complication, further complicate anticancer therapy and lead to diminished clinical outcomes. Simple supplementation of cardioprotective agents falls short in addressing these challenges. Developing bi-functional co-therapy agents provided another potential solution to consolidate the chemotherapy and reduce cardiac events simultaneously. Drug repurposing was naturally endowed with co-therapeutic potential of two indications, implying a unique chance in the development of bi-functional agents. Herein, we further proposed a novel "trilogy of drug repurposing" strategy that comprises function-based, target-focused, and scaffold-driven repurposing approaches, aiming to systematically elucidate the advantages of repurposed drugs in rationally developing bi-functional agent. Through function-based repurposing, a cardioprotective agent, carvedilol (CAR), was identified as a potential neddylation inhibitor to suppress lung cancer growth. Employing target-focused SAR studies and scaffold-driven drug design, we synthesized 44 CAR derivatives to achieve a balance between anticancer and cardioprotection. Remarkably, optimal derivative 43 displayed promising bi-functional effects, especially in various self-established heart failure mice models with and without tumor-bearing. Collectively, the present study validated the practicability of the "trilogy of drug repurposing" strategy in the development of bi-functional co-therapy agents.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective:The effect of bone marrow soluble B cell maturation antigen (sBCMA) expression on the efficacy and side effects of chimeric antigen receptor (CAR) -modified T-cell-targeting B cell maturation antigen (BCMA) in patients with multiple myeloma (MM) .Methods:This study involved 29 patients with relapsed or refractory MM (RRMM) who received humanized anti-BCMA CAR-T cell clinical trials from January 2018 to December 2021. The expression of sBCMA in bone marrow before and after anti-BCMA CAR-T cell treatment was detected by flow cytometry and compared.Results:①Two months after BCMA CAR-T cell treatment, 20 patients (68.97%) achieved an overall response (OR), whereas nine patients had stable disease (SD) or miner emission (MR). ②The expression of sBCMA in the bone marrow of 20 patients with OR was higher before treatment than after [26 926 (18 215, 32 488) ng/L vs 9 968 (6 634, 11 459) ng/L; P<0.001]; no significant difference was observed in patients with MR and SD [41 187 (33 816, 47 046) ng/L vs. 33 954 (31 569, 36 256) ng/L; P=0.145]; sBCMA expression in patients with OR before CAR-T cell treatment was lower than in patients with MR and SD ( P=0.005). ③No significant linear correlation was found between the peak value of CAR-T cells and sBCMA expression in the bone marrow of all 29 patients with RRMM ( R2=0.035, P=0.330). ④No significant difference in sBCMA expression was found between grades 0-1 CRS group (13 patients) and grades 2-4 CRS group [16 patients; 32 045 (18 742, 40 801) ng/L vs 29 102 (24 679, 38 776) ng/L, P=0.879], nor between grade 0 ICANS group (22 patients) and grade 1-3 ICANS group [seven patients; 30 073 (19 375, 40 065) ng/L vs 33 816 (22 933, 43 459) ng/L, P=0.763]. Conclusion:sBCMA expression in the bone marrow is related to the efficacy of BCMA CAR-T cell therapy in patients with RRMM, but is not significantly correlated with the severity of adverse events. It may serve as a predictive biomarker for the efficacy of BCMA CAR-T cell therapy in these patients.

The UK screening and treatment of retinopathy of prematurity(ROP)updated 2022 guidelines were developed by a multidisciplinary guideline development group from the Royal College of Paediatrics and Child Health and the Royal College of Ophthalmologists,following the standards of the National Institute for Health and Care Excellence.They were published on the websites of the Royal College of Paediatrics and Child Health and the Royal College of Ophthalmologists in March 2022,and formally published in Early Human Development in March 2023.The guidelines provide evidence-based recommendations for the screening and treatment of ROP.The most significant change in the 2022 updated version compared to the previous guidelines is the lowering of the gestational age screening criterion to below 31 weeks.The treatment section covers treatment indications,timing,methods,and follow-up visits of ROP.This article interprets the guidelines and compares them with ROP guidelines/consensus in China,providing a reference for domestic peers.

Objective:To analyze the clinical phenotype and gene mutation of a genetic coagulation factor Ⅻ(FⅫ)deficiency pedigree and explore the molecular pathogenesis.Methods:The activated partial thromboplastin time(APTT)and FⅫ activity(FⅫ:C)were detected by clotting method.The FⅫ antigen(FⅫ:Ag)was tested with ELISA.All exons and flanks of F12 gene were determined by Sanger sequencing.ClustalX-2.1-win,PROVEAN and Swiss-Pdb Viewer software were used to analyze the conservatism of amino acids at the mutant site,forecast whether the mutant amino acids were harmful and confirm the influence of the mutation on protein structure.Results:The APTT of the proband prolonged to 71.3 s.The FⅫ:C and FⅫ;Ag were decreased to 5％and 6％,respectively.There were two heterozygous missense mutations c.580G＞T and c.1681G＞A detected in exon 7 and exon 14 of F12 gene,resultingin p.Gly175Cys and p.Gly542Ser,severally.Proband's father carried the p.Gly175Cys heterozygous mutation,while mother,brother and daughter had the p.Gly542Ser heterozygous mutation.Software analysis showed that both Gly175 and Gly542 were conserved,the two mutations were harmful and when mutations had occurred,the corresponding sites affected the protein local structure.Conclusion:The p.Gly175Cys and p.Gly542Ser compound heterozygous mutations are the molecular pathogenesis of the hereditary coagulation FⅫ deficiency pedigree.The p.Gly175Cys mutation has been detected for the first time in the world.

Objective:To construct a prediction model for the operation quality of medical equipment based on mutual information particle swarm optimization(PSO)-long short-term memory(LSTM)neural network to assist the intelligent management of diagnosis and treatment equipment for chronic respiratory diseases.Methods:The basic data,usage data,maintenance data and performance data of equipment were collected for denoising and standardized processing,and a PSO-LSTM prediction model was constructed,and intelligent management plans for equipment use,maintenance,repair and scrapping were formulated.A total of 139 medical equipment in clinical use in the Respiratory Department of the People's Hospital of Xinjiang Uygur Autonomous Region from August 2019 to July 2023 was selected.67 devices from August 2019 to July 2021 adopted the experience management mode,and 72 devices from August 2021 to July 2023 adopted the intelligent management mode.The prediction accuracy of traditional recurrent neural network(RNN),LSTM neural network model training and test set,and PSO-LSTM neural network model were calculated.The equipment management quality of the two management modes and the satisfaction of equipment operators,technical support personnel,patients and their families with the two management modes were compared.Results:The mean absolute percentage error(MAPE)and root mean square error(RMSE)values of the prediction accuracy of the PSO-LSTM model training set are 0.014 and 0.008,respectively,and the test set is 0.032 and 0.018,respectively,both lower than RNN and RMSE.The failure rate,start-up rate,management cost increase,maintenance implementation rate and scrap compliance rate of the intelligent management mode were(0.99±0.85)times/year,(95.74±2.16)%,(1.72±1.28)%,(96.49±1.97)%and(97.59±1.49%),respectively,and the increase of fault frequency and management cost were lower than those of the experience management mode,while the start-up rate,maintenance implementation rate and scrap compliance rate were than those of the experience management mode,the difference was statistically significant(t=3.297,3.469,2.394,4.187,3.503,P<0.05).The satisfaction scores of equipment operators and technical support personnel and patients and their families on the performance,operating quality,management method,management cost and diagnosis and treatment effect of the equipment of the intelligent management mode were(94.73±1.85),(93.38±3.15),(93.48±2.02),(94.35±2.34)and(95.14±2.07),respectively,which were all higher than those of the experience management,the difference was statistically significant(t=4.131,3.827,5.716,3.430,3.173,P<0.05).Conclusion:PSO-LSTM neural network prediction model can more accurately evaluate the operating status of medical equipment,improve the clinical operation quality of medical equipment and improve clinical service satisfaction.

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 study the expression of the Homeobox C6(HOXC6)gene in the homeobox family in PCa,its effect on the biological behavior of PCa cells and its action mechanism.Methods:Based on the studies of HOXC6 retrieved from the data-base of Gene Expression Profiling Interactive Analysis(GEPIA),we analyzed the expression of HOXC6 in PCa and the relationship of its expression level with the survival prognosis of the patients.We detected the expression of the HOXC6 protein in PCa tissues and cells by Western blot,stably interfered with the expression of the HOXC6 gene in human PCa DU145 and PC-3 cells and normal prosta-tic epithelial RWPE-1 cells using the siRNA plasmid,and determined the effects of HOXC6 on the proliferation,migration and inva-siveness of PCa cells by CCK8,plate cloning and scratch healing and Transwell invasion assays.Using the GEPIA database,we ana-lyzed the correlation of the Wnt tumor inhibitory factor-secreted frizzled-related protein 1(SFRP1)gene with HOXC6,and detected the expressions of HOXC6,SFRP1,Wnt and β-catenin in PC-3 cells after siRNA-HOXC6 transfection by Western blot.Results:The expression of HOXC6 was dramatically higher in the PCa than in the normal prostate tissue(P<0.01),and in the PCa cells than in the normal prostatic epithelial cells(P<0.01).Bioinformatics analysis indicated a lower survival rate of the PCa patients with a high than those with a low HOXC6 expression(P=0.011).The relative expression of the HOXC6 protein,absorbance value,number of clones formed and number of invaded cells were significantly lower in the siRNA group than in the negative controls(P<0.05).Ac-cording to the GEPIA database,highly expressed SFRP1 was associated with a good prognosis of PCa,and the protein expressions of Wnt and β-catenin were markedly increased while that of SFRP1 decreased in the PCa PC-3 cell line(P<0.05).The expressions of the Wnt and β-catenin proteins were decreased and that of SFRP1 increased significantly in the siRNA-HOXC6 transfection group com-pared with those in the siRNA negative control and PCa PC-3 groups(P<0.05).Conclusion:HOXC6 is highly expressed in PCa tissues and related to the proliferation,migration and invasiveness of PCa cells.HOXC6 promotes the growth of DU145 and PC-3 cells in PCa by inhibiting the SFRP1/Wnt/β-catenin signaling pathway,and may be a potential target for clinical treatment of PCa.

Objective: To evaluate the clinical value of the MeltPro MTB assays in the diagnosis of drug-resistant tuberculosis. Methods: A cross-sectional study design was used to retrospectively collect all 4 551 patients with confirmed tuberculosis between January 2018 and December 2019 at Beijing Chest Hospital, Capital Medical University. Phenotypic drug sensitivity test and GeneXpert MTB/RIF (hereafter referred to as "Xpert") assay were used as gold standards to analyze the accuracy of the probe melting curve method. The clinical value of this technique was also evaluated as a complementary method to conventional assays of drug resistance to increase the detective rate of drug-resistant tuberculosis. Results: By taking the phenotypic drug susceptibility test as the gold standard, the sensitivity of the MeltPro MTB assays to detect resistance to rifampicin, isoniazid, ethambutol and fluoroquinolone was 14/15, 95.7%(22/23), 2/4 and 8/9,respectively; and the specificity was 92.0%(115/125), 93.2%(109/117), 90.4%(123/136) and 93.9%(123/131),respectively; the overall concordance rate was 92.1%(95%CI:89.6%-94.1%),and the Kappa value of the consistency test was 0.63(95%CI:0.55-0.72).By taking the Xpert test results as the reference, the sensitivity of this technology to the detection of rifampicin resistance was 93.6%(44/47), the specificity was100%(310/310), the concordance rate was 99.2%(95%CI:97.6%-99.7%), and the Kappa value of the consistency test was 0.96(95%CI:0.93-0.99). The MeltPro MTB assays had been used in 4 551 confirmed patients; the proportion of patients who obtained effective drug resistance results increased from 83.3% to 87.8%(P<0.01); and detection rate of rifampicin, isoniazid, ethambutol, fluoroquinolone resistance, multidrug and pre-extensive drug resistance cases were increased by 3.2%, 14.7%, 22.2%, 13.7%, 11.2% and 12.5%, respectively. Conclusion: The MeltPro MTB assays show satisfactory accuracy in the diagnosis of drug-resistant tuberculosis. This molecular pathological test is an effective complementary method in improving test positivity of drug-resistant tuberculosis.
Humans ; Rifampin/therapeutic use* ; Antibiotics, Antitubercular/therapeutic use* ; Mycobacterium tuberculosis ; Ethambutol/pharmacology* ; Isoniazid/pharmacology* ; Paraffin Embedding ; Retrospective Studies ; Cross-Sectional Studies ; Drug Resistance, Bacterial ; Sensitivity and Specificity ; Tuberculosis, Multidrug-Resistant/drug therapy*