Adverse drug reactions （ADRs） refer to harmful or unintended reactions unrelated to the intended purpose of medication administration， which can lead to various issues such as accelerated disease progression and prolonged hospitalization. Traditional ADRs monitoring systems （such as spontaneous reporting systems） suffer from limitations such as low reporting rates and inconsistent data quality， which hinder the early prevention and control of ADRs. With the rapid development of information technology， machine learning has emerged as a powerful tool for management and decision-making of ADRs by leveraging its strengths in feature extraction and dynamic temporal pattern analysis. By reviewing relevant literature at home and abroad in recent years， this paper summarizes the progress in the application of machine learning for ADRs prediction. It is found that machine learning has gradually been applied to the early warning and risk prediction of ADRs in target organs such as the kidneys， liver， heart and bone marrow （such as acute kidney injury， drug-induced liver injury， and so on）. Although machine learning demonstrates significant application potential in the field of ADRs prediction， it still faces limitations such as inadequate quality control of clinical data， lack of standardized criteria for model performance evaluation， insufficient model interpretability and difficulties in clinical translation. In the future， the development trend of machine learning in the field of ADRs prediction should follow a “technology-validation-integration” pathway to systematically promote the practical implementation of models.

BACKGROUND: Several studies have demonstrated the occurrence of secondary tumors as a rare but significant complication of chimeric antigen receptor T (CAR-T) cell therapy, underscoring the need for a detailed investigation. Given the limited variety of secondary tumor types reported to date, a comprehensive characterization of the various secondary tumors arising after CAR-T therapy is essential to understand the associated risks and to define the role of the immune microenvironment in malignant transformation. This study aims to characterize the immune microenvironment of a newly identified secondary tumor post-CAR-T therapy, to clarify its pathogenesis and potential therapeutic targets. METHODS: In this study, the bone marrow (BM) samples were collected by aspiration from the primary and secondary tumors before and after CD19 CAR-T treatment. The CD45 + BM cells were enriched with human CD45 microbeads. The CD45 + cells were then sent for 10× genomics single-cell RNA sequencing (scRNA-seq) to identify cell populations. The Cell Ranger pipeline and CellChat were used for detailed analysis. RESULTS: In this study, a rare type of secondary chronic myelomonocytic leukemia (CMML) were reported in a patient with diffuse large B-cell lymphoma (DLBCL) who had previously received CD19 CAR-T therapy. The scRNA-seq analysis revealed increased inflammatory cytokines, chemokines, and an immunosuppressive state of monocytes/macrophages, which may impair cytotoxic activity in both T and natural killer (NK) cells in secondary CMML before treatment. In contrast, their cytotoxicity was restored in secondary CMML after treatment. CONCLUSIONS This finding delineates a previously unrecognized type of secondary tumor, CMML, after CAR-T therapy and provide a framework for defining the immune microenvironment of secondary tumor occurrence after CAR-T therapy. In addition, the results provide a rationale for targeting macrophages to improve treatment strategies for CMML treatment.
Humans ; Lymphoma, Large B-Cell, Diffuse/therapy* ; Tumor Microenvironment/genetics* ; Antigens, CD19/metabolism* ; Leukemia, Myelomonocytic, Chronic/genetics* ; Immunotherapy, Adoptive/adverse effects* ; Male ; Single-Cell Analysis/methods* ; Female ; Sequence Analysis, RNA/methods* ; Receptors, Chimeric Antigen ; Middle Aged

Objective:To investigate the effect of ubiquitin binding enzyme 2T (UBE2T) on the radiosensitivity of lung adenocarcinoma and unravel its possible mechanism.Methods:A total of 45 patients pathologically diagnosed with different stages of lung adenocarcinoma and treated with radiotherapy in the Second Affiliated Hospital of Zunyi Medical University from March, 2019 to December, 2021 were enrolled, and the efficacy was evaluated according to response evaluation criteria in solid tumors (RECIST1.1). All patients were divided into radiosensitive group ( n=25) and radioresistant group ( n=20). Radiosensitive group was complete remission (CR)+partial remission (PR), and radioresistant group was stable disease (SD) + progression disease (PD). Immunohistochemistry (IHC) was used to calculate the score based on the staining intensity and the number of positive cells. Chi-square test was combined to analyze the correlation between the expression level of UBE2T in paraffin specimens of lung adenocarcinoma patients and the radiosensitivity of patients. Lentivirus UBE2T-interfered (UBE2Tsh) A549 and UBE2T-overexpressed SPC-A-1 lung adenocarcinoma cells and their respective controls were constructed for irradiation and colony formation assay. The survivor fraction curve was fitted by single-hit multi-target model. The DNA double-strand break (DSB) marker γH2AX foci were detected by immunofluorescence (IF). The expression levels of UBE2T, γH 2AX and Rad51 proteins were detected by Western blot. Cell cycle and apoptosis rate of A549 were determined by flow cytometry. Binary variables were statistically analyzed by Fisher's exact probability method and measurement data were assessed by t-test. Results:High-expression level of UBE2T was correlated with the radiosensitivity of lung adenocarcinoma patients ( P<0.05). UBE2Tsh improved the radiosensitivity of A549 lung adenocarcinoma cells, and the sensitizing enhancement ratio (SER) was 1.795. UBE2T overexpression decreased the radiosensitivity of SPC-A-1 lung adenocarcinoma cells with an SER of 0.293. γH2AX foci number per cell were significantly increased in UBE2Tsh A549 cells after irradiation ( P<0.01) . Compared with the control group, the expression level of γH2AX protein was up-regulated ( P<0.01)and that of Rad51 protein was down-regulated in UBE2Tsh A549 cells after radiation ( P<0.001). Compared with the control group, the expression level of γH2AX protein was down-regulated ( P<0.05) and that of Rad51 protein was up-regulated in UBE2T overexpressed SPC-A-1 cells ( P<0.001). The proportion of UBE2Tsh A549 cells in G 2 phase was decreased ( P<0.01) and cell apoptosis was increased ( P<0.001). Conclusions:UBE2T might promote the radioresistance of lung adenocarcinoma cells by enhancing DNA DSB repair induced by radiotherapy, inducing cell cycle G 2 phase arrest, and reducing cell apoptosis.

ObjectiveTo identify the members of the Rehmannia glutinosa miR166 gene family and clarify the response mode under adversity. MethodHigh-throughput sequencing technology was employed to obtain a small RNA database and the miR166 family members of R. glutinosa were screened out. The precursor structures were analyzed by RNAfold. DNAMAN and MEGA were used for conservative and evolutionary analyses， respectively. TargetFinder software was used to predict the target genes of R. glutinosa miR166 family members. The expression of miR166 family members in response to abiotic stress was analyzed by real-time polymerase chain reaction（Real-time PCR）. ResultFive miR166s were identified with precursors possessing complete stem-loop structures. As revealed by sequence alignment results， the precursors and matures were both highly conserved. Forty-eight target genes of miR166s were predicted， which were mainly annotated to the HD-ZIP Ⅲ family transcription factors. The expression characteristics showed that the expression of miR160s was up-regulated after R. glutinosa was infected by endophytic fungi， which was different from the expression of the family members under abiotic stress. The expression level of rgl-miR166b-5p in the drought-flood treatment group and the high-low temperature treatment group was significantly down-regulated compared with that in the control group， and the expression pattern was opposite under the endophytic fungal infection. ConclusionThe results of this study preliminarily clarified the expression patterns of R. glutinosa in response to biotic and abiotic stresses and provided a theoretical basis for future breeding and improvement of R. glutinosa.

Objective To predict the potential mechanism of Yifei Sanjie prescription in the treatment of lung adenocarcinoma based on network pharmacology,and to verify one of the key signal pathways,Janus protein tyrosine kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3),by cell experiments in vitro.Methods To screen the main active components and potential action targets of Yifei Sanjie prescription,with traditional Chinese medicine system pharmacological database(TCMSP).To search and retrieve the main targets of lung adenocarcinoma,with human genetic database(GeneCards)and online human Mendelian genetic database(OMIM).To obtain the intersection targets by screening and apply Wayne diagram,then analysis the topology and establish the traditional Chinese medicine-active compound-target network diagram by using of Cytoscape 3.7.2 software.To construct the protein-protein interaction(PPI)network,with the protein-protein interaction platform(STRING)and Cytoscape3.7.2 software.To analyze the functional enrichment of gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG),with the Metascape database.To carry out the molecular docking verification by using of Vina1.2.3 software.Using CCK-8 method to detect the effect of Yifei Sanjie prescription on cell activity.Using the cell scratch test to observe the effect on cell migration.And using Western blot method to test the expression of p-STAT3,STAT3,p-JAK2,JAK2 and VEGF-A.Results 94 active components,329 related drug targets and 1358 lung adenocarcinoma targets were obtained from Yifei Sanjie prescription,among which,150 of them intersected.PPI network visualization analysis shows that the potential key targets of Yifei Sanjie prescription in the treatment of lung adenocarcinoma are protein kinase B1(AKT1),β-actin(ACTB),tumor suppressor gene p53(TP53),serum albumin(ALB),caspase-3(CASP3)and vascular endothelial growth factor A(VEGFA).KEGG enrichment analysis screened 138 related signal pathways,indicating that JAK/STAT signaling pathway may play a key role in the treatment of lung adenocarcinoma with Yifei Sanjie prescription.Molecular docking results showed that quercetin,luteolin,and ursolic acid had good binding activities with JAK2 and STAT3.The cell experiment showed that compared with the blank group,Yifei Sanjie prescription could significantly inhibit the activity of A549 cells,inhibit the migration of A549 cells,and decrease the expression of p-JAK2/JAK2,p-STAT3/STAT3 and VEGF-A protein.In addition,Colivelin,an activator of JAK2/STAT3 pathway,could reverse the effect of Yifei Sanjie prescription on the expression of A549 related proteins.Conclusion Yifei Sanjie prescription has the characteristics of multi-component,multi target and multi pathway in the treatment of lung adenocarcinoma,and its mechanism may be related to the down-regulation of p-JAK2,p-STAT3 and VEGF-A protein expression,thereby inhibiting cell proliferation and migration.

Objective To investigate the therapeutic effect and mechanism of non-mitogenic acid fibroblast growth factor 1( NMFGF1) on diabetic cardiomyopathy ( DCM) by using PEG-modified nano-liposomes combined with ultrasound-targeted microbubble destruction technique ( UTMD ) . Methods The NMFGF1 loaded PEG-modified nano-liposomes were prepared by a water-in-water emulsion method and their quality inspections were also investigated. Type 1 diabetes animal model was induced by intraperitoneal injection of streptozotocin ( 70 mg/kg) in male SD rats. The diabetic rats were raised twelve weeks after the diabetes model was established and DCM rats were selected by ultrasonic heart function examination. After two weeks of intervention, all rats were kept for another two weeks and then underwent transthoracic echocardiography examination. The rats were sacrificed and myocardial tissue was obtained to quantify myocardial collagen fraction ( CVF ) and cardiac myocyte apoptotic index by Sirius red staining and TUNEL staining. Results NMFGF1-loaded PEG-nano-liposomes showed a good morphology and 90.3％± 1.4％ NMFGF1 encapsulation efficiency. Compared with DCM group, NMFGF1group, and NMFGF1-PEG-nano-liposomes group, NMFGF1-loaded PEG-nano-liposome plus UTMD group showed increased left ventricular end diastolic diameter (LVIDd) [(7.36±0.42) vs (5.75±0.24), (6.64±0.27), (6.72±0.24)mm, all P<0.05]and leftventricularfractionshortening(LVFS) [(50±3) vs (33±2), (44±5), (43±3)mm, all P<0.05], and decreased left ventricular posterior wall thickness (LVPW) [(1.65±0.07) vs (1.89±0.08), (1.73±0.11), (1.73 ±0.07) mm, all P<0.05], with decreased CVF and apoptotic index(all P<0.05). Conclusion PEG-nano-liposomes combining with UTMD technique has a greater translational potential in the delivery of NMFGF1 for the treatment of DCM by attenuating oxidative stress-induced injury and may provide a promising strategy for treating diabetes cardiomyopathy.

Objective To examine the distribution,volume and glucose-uptake activity of brown adipose tissue (BAT) in adults and investigate their correlations with metabolic indicators.Methods 18F-flurodeoxyglucose (FDG) PET/CT was used to analyze the distribution,volume and glucose-uptake activity of BAT.The clinical and metabolic differences between BAT positive group (n =121) and BAT negative group (n=257) were compared.The influences of metabolic indicators (fast blood glucose (FBG),triglyceride (TG),total cholesterol (TC),high density lipoprotein cholesterol (HDL-C),low density lipoprotein cholesterol (LDL-C),uric acid (UA)) on the distribution,volume and activity of BAT were investigated.Logistic regression analysis,two-sample t test,x2 test and multiple linear regression were used to analyze the data.Results The distribution,volume and glucose-uptake activity of BAT were found to be significantly higher in subjects being tested in colder seasons than those who were tested in warmer seasons:2.91％ (87/2 991) vs 1.68％(34/2018),(433±402) vs (329±298) ml,(212±183) vs (169±145) g (x2=7.66,t values:3.36 and 2.98,all P＜0.05).The female proportion was significantly higher in BAT positive group than that in BAT negative group:68.60％ (83/121) vs 31.91％ (82/257) (x2 =16.10,P＜0.01).The average levels of age,body mass index (BMI),FBG,TG,TC,LDL-C and UA in BAT positive group were significantly low-er than those in BAT negative group:(41.30±10.90) vs (48.70±9.60) years,(21.30±2.40) vs (24.50± 3.10) kg/m2,(4.56±0.74) vs (5.34±1.33) mmol/L,(0.94±0.36) vs (2.06±1.64) mmol/L,(4.42± 0.79) vs (4.88±0.87) mmol/L,(1.99±0.58) vs (3.10±0.77) mmol/L,(285.11±70.00) vs (347.70± 101.10) μmol/L (t values:from-6.25 to-2.94,all P＜0.01).Logistic regression analysis revealed that season,gender,age,BMI,FBG,TG and LDL-C levels were all independent influencing factors of BAT distribution in adults (odds ratios:5.36,2.06,0.95,0.79,0.49,0.23,0.02;P＜0.01 or P＜0.05).Among BAT positive adults,gender and FBG levels were found to be strongly affected by the volume and glucose-uptake activity of BAT (β values:0.28,-0.21,both P＜0.05).Conclusions The distribution,volume and glucose-uptake activity of BAT in adults are associated with multiple metabolic indicators including BMI,levels of glucose,lipid and UA.The distribution of BAT is affected by gender,age,season,BMI,blood glucose,and blood lipids.

Objective To investigate the advanced preventive effect of acid fibroblast growth factor (aFGF) on diabetic cardiomyopathy(DCM) by using heparin-modified nano-liposomes combined with ultrasoundtargeted microbubble destruction technique (UTMD).Methods aFGF-loaded nano-liposomes (aFGF-lips) were prepared by lyophilization technique.Type Ⅰ diabetes model was induced by intraperitoneal injection of streptozotocin (STZ,70 mg/kg) in male SD rats.Before and twelve weeks after intervention,all rats underwent the transthoracic echocardiography.The segmental mean peak systolic radial velocity (Vs),systolic circumferential strain (Sc),and systolic circumferential strain rate (SRc) were measured.The expression of aFGF in DCM rats was detected by western blot.The rats were sacrificed and myocardial tissue were stained with masson staining and Tunel staining to quantify myocardial collagen fraction(CVF) and cardiac myocyte apoptosis index(AI).Results aFGF-lips showed good morphology and aFGF encapsulation efficiency (89.4±1.2)％ with high stability.From the animal experiments,the echocardiographic indexes including Vs,Sc and SRc had significantly improvements over DM group (P＜0.05) and all other treatment group (P＜0.05).The Masson's trichrome staining demonstrated that CVF was significantly higher in DM group than in the control group and was significantly lower in the aFGF-loaded nano-liposome+UTMD group than other groups(all P＜0.05).The TUNEL results showed that AI was significantly higher in DM group than in the control group and was significantly lower in aFGF-loaded nano-liposome +UTMD group than other groups (all P＜0.05).Conclusion aFGF nano-liposome combining with UTMD technique can improve the functions and pathologies of the hearts in type 1 diabetes mellitus model,which might provide a novel technique for aFGF in DCM prevention.

Objective: The therapeutic effect of acid fibroblast growth factor 1(FGF1) on rats with diabetic cardiomyopathy (DCM) was evaluated by using nano-liposomes combined with ultrasound-targeted microbubble destruction technique (UTMD). Methods: The FGF1-loaded nano-liposomes were prepared by water-in-water emulsion method combined with lyophilization technique.TypeⅠdiabetes model was induced by intraperitoneal injection of streptozotocin (STZ, 70 mg/kg) in 60 male SD rats.Sixteen weeks later, diabetic rats were randomly divided into: placebo group (saline treatment), FGF1 group, FGF1-loaded nano-liposomes group, and FGF1-loaded nano-liposomes plus UTMD group (n=15 each). After two weeks of intervention followed by 2 weeks intervention stop, all rats underwent cardiac catheterization, and the left ventricular end-systolic pressure (LVESP), left ventricular end-diastolic pressure (LVEDP) and the maximal increase/decrease rate of left ventricular pressure (LV±dp/dtmax) were measured.Then, the rats were sacrificed and myocardial tissue were obtained for Masson trichrome staining, TUNEL apoptotic staining and CD31 immunohistochemistry staining to quantify myocardial collagen fraction (CVF), cardiac myocyte apoptotic index and myocardial microvascular density (MVD). Results: (1)Scanning electron microscope results revealed good morphology and FGF1 encapsulation efficiency (84.3±2.8)% with high stability and dispensability of FGF1 loaded nano-liposomes.(2)The hemodynamic evaluation showed that LVESP, LV + dp/dt_max and LV -dp/dt_max were all significantly higher, while LVEDP was significantly lower in the FGF1-loaded nano-liposome+ UTMD group than in DCM group, FGF1 solution group, and FGF1 nano-liposome group(all P<0.05). (3)The Masson trichrome staining demonstrated that CVF was significantly higher in all DCM groups than in control group and was significantly lower in the FGF1-loaded nano-liposome+ UTMD group than in DCM group, FGF1 solution group, and FGF1 nano-liposome group (all P<0.05). (4)The CD31 immunohistochemical staining results showed that MVD was significantly lower in all DCM groups than in control group and was significantly higher in the FGF1-loaded nano-liposome+ UTMD group than in DCM group, FGF1 solution group, and FGF1 nano-liposome group (all P<0.05). (5)The TUNEL results showed that apoptotic index was significantly higher in all DCM groups than in control group and was significantly lower in the FGF1-loaded nano-liposome + UTMD group than in DCM group, FGF1 solution group, and FGF1 nano-liposome group (all P<0.05). Conclusion FGF1 nano-liposomes combining with UTMD technique can significantly improve cardiac functions and attenuate myocardial CVF and apoptosis and enhance myocardial MVD in DCM rats.

Objective To analyze the metabolic profiles of the female papillary thyroid carcinoma (PTC) and the relationship between the metabolic profiles and primary tumor size and cervical lymph node metastasis using a metabolomics approach.Methods Forty-three cases of female PTC were enrolled in this study.Gas chromatography-time-of-flight mass spectrometry and ultra performance liquid chromatography-time of flight-mass spectrometry were employed for analyzing metabolic profiles of tumor tissues and adjacent normal tissues in the female PTC.Cases were divided into Group T1 (tumor size ≤2.0 cm) and Group T2 (tumor size ＞ 2.0 cm) according to the tumor size,and divided into Group N-(with negative cervical lymph node) and Group N + (with positive cervical lymph node) according to the cervical lymph node conditions.We compared the metabolomic profiles between these groups.Results A panel of 46 differentially expressed metabolites was identified in the PTC specimens,compared with normal tissues.Increased metabolism of amino acid,purine and pyrimidine,tryptophan acid,one carbon,glycolysis,taurine and hypotaurine,and fatty acid were found in PTC tumors tissues.Amino acids,purine and pyridine,tryptophan,and carbon metabolism increased significantly in the tumor tissues of Group T2 compared with Group T1,while glycolysis,amino acid,purine and pyridine,tryptophan,and carbon metabolism increased significantly in the specimens of Group N +.Conclusion Distinct metabolic profiles were identified in the female PTC tissues,which were related to the primary tumor size and cervical lymph node metastases.