1.The study on the clinical effects and short-term results of time-limited rescue angioplasty following thrombolytic therapy in acute myocardial infarction
Dongju JIANG ; Hailong LIN ; Deyuan MA
Chinese Journal of Interventional Cardiology 1996;0(01):-
Objective To evaluate the rationality, safety and efficiency of the time-limited rescue angioplasty following thrombolytic therapy in acute myocardial infarction (AMI).Methods Among the patients within 6 hours from the onset of symptoms of AMI, forty-four cases (group A) underwent primary coronary angioplasty and fifty-eight cases (group B) underwent firstly intravenous thrombolytic therapy. According to clinical early reperfusion indication within 90 minutes following thrombolytic therapy, group B was divided into two subgroups, the patients with early reperfusion (subgroup C) underwent delayed interventional examination 7~10 days after AMI and that with non-reperfusion (subgroup D) underwent rescue angioplasty. The reperfusion rates and complications in different groups were analyzed and compared. Cardiac function (left ventricular ejection fraction, LVEF) was evaluated by echocardiograph 4 weeks after AMI. Results The results showed that the rate of reperfusion, in group A, was 95.45% (42/44),that of subgroup C was 32.76 % (19/58) within 90 minutes following thrombolytic therapy (16 of subgroup C underwent delayed interventional examination and 12 of them underwent PTCA+stent) and that of subgroup D was 97.43% (38/39); There were no serious complications that occurred in subgroups C and D. The LVEFs in group A, subgroups C and D were not significantly different, but there was a significant difference between reperfusion within 6 hours and beyond after AMI (62.7% vs 56.8%, P
2.Positive effects of porcine IL-2 and IL-4 on virus-specific immune responses induced by the porcine reproductive and respiratory syndrome virus (PRRSV) ORF5 DNA vaccine in swine.
Deyuan TANG ; Jian LIU ; Chunyan LI ; Hua ZHANG ; Ping MA ; Xianfeng LUO ; Zhiyong ZENG ; Nining HONG ; Xia LIU ; Bin WANG ; Feng WANG ; Zhenlei GAN ; Fei HAO
Journal of Veterinary Science 2014;15(1):99-109
The purpose of this study was to investigate the effects of porcine interleukin (IL)-2 and IL-4 genes on enhancing the immunogenicity of a porcine reproductive and respiratory syndrome virus ORF5 DNA vaccine in piglets. Eukaryotic expression plasmids pcDNA-ORF5, pcDNA-IL-2, and pcDNA-IL-4 were constructed and then expressed in Marc-145 cells. The effects of these genes were detected using an indirect immunofluorescent assay and reverse transcription polymerase chain reaction (RT-PCR). Characteristic fluorescence was observed at different times after pcDNA-ORF5 was expressed in the Marc-145 cells, and PCR products corresponding to ORF5, IL-2, and IL-4 genes were detected at 48 h. Based on these data, healthy piglets were injected intramuscularly with different combinations of the purified plasmids: pcDNA-ORF5 alone, pcDNA-ORF5 + pcDNA-IL-2, pcDNA-ORF5 + pcDNA-IL-4, and pcDNA-ORF5 + pcDNAIL-4 + pcDNA-IL-2. The ensuing humoral immune responses, percentages of CD4+ and CD8+ T lymphocytes, proliferation indices, and interferon-gamma expression were analyzed. Results revealed that the piglets co-immunized with pcDNA-ORF5 + pcDNA-IL-4 + pcDNA-IL-2 plasmids developed significantly higher antibody titers and neutralizing antibody levels, had significantly increased levels of specific T lymphocyte proliferation, elevated percentages of CD4+ and CD8+ T lymphocytes, and significantly higher IFN-gamma production than the other inoculated pigs (p < 0.05).
Animals
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Cell Line
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Escherichia coli/genetics
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Haplorhini
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Immunity, Cellular
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Interleukin-2/genetics/*metabolism
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Interleukin-4/genetics/*metabolism
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Neutralization Tests/veterinary
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Plasmids
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Porcine Reproductive and Respiratory Syndrome/*prevention & control
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Porcine respiratory and reproductive syndrome virus/*immunology
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Recombinant Proteins/genetics/metabolism
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Swine
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Vaccines, DNA/immunology
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Viral Envelope Proteins/*genetics/metabolism
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Viral Vaccines/*immunology
3. Quantification of ambrisentan in human plasma by LC-MS/MS and its pharmacokinetic application
Hong MA ; Wanhui LIU ; Hong MA ; Jingyuan LIU ; Duanyun SI ; Yuanyuan XIA ; Hao JIN ; Yong CHEN ; Bo WANG ; Duanyun SI ; Yuanyuan XIA
Chinese Journal of Clinical Pharmacology and Therapeutics 2021;26(4):382-388
AIM: To establish an LC-MS/MS method to determine the concentration of ambrisentan in human plasma and apply it to the study of human pharmacokinetics. METHODS: After extracting ambrisentan and internal standard from human plasma by liquid-liquid extraction, chromatographic separation was performed on a Waters Symmetry C
4.Research Progress on Methyltransferase-like Protein 3 in Progression of Aerobic Glycolysis in Gastrointestinal Tumors
Deyuan MA ; Na WANG ; Huiqiang WANG ; Quanlin GUAN
Cancer Research on Prevention and Treatment 2024;51(8):697-702
Metabolic reprogramming is one of the significant characteristics of malignant tumor development. It provides the tumor with sufficient energy and materials. During the process by which tumor cells acquire metabolic reprogramming, epigenetic changes play a crucial role. N6-methyladenosine (m6A) in mRNA is the most common post-transcriptional modification of mRNA. It regulates the transcription, maturation, translation, and degradation of mRNA. Studies have shown that m6A helps promote the metabolic reprogramming of tumor cells. However, the complete mechanism still requires further research. METTL3 is a key enzyme for m6A methylation that catalyzes m6A progression by forming complexes with other proteins, such as METTL14 and WTAP. Notably, the critical role of METTL3 in the metabolic transition of gastrointestinal tumors has not been given due attention. This article summarizes the specific pathways through which METTL3 affects the reprogramming of cellular glucose metabolism in gastrointestinal tumors. We aimed to clarify the importance of METTL3 in the energy reprogramming of gastrointestinal tumors.
5.Influencing factors of survival and prognosis of patients with bladder urothelial carcinoma after surgical treatment and recommendation of an artificial intelligence algorithm
Yue ZHANG ; Ce ZHANG ; Bo YANG ; Huiwen SHEN ; Deyuan MA ; Lijie WEN ; Wanlong TAN ; Yang YU
Journal of Modern Urology 2023;28(6):480-486
【Objective】 To explore the factors influencing the survival and prognosis of patients with bladder urothelial carcinoma (BUC) after surgical treatment, and to establish an artificial intelligence algorithm to predict the effects of different surgical regimens. 【Methods】 BUC patients treated with surgery during Jan.2007 and Jan.2019 in The Second Hospital of Dalian Medical University and Nanfang Hospital of Southern Medical University were enrolled. The complete clinical and follow-up data were collected. Deep neural network (DNN) was used to establish an artificial intelligence algorithm model. A prediction model of survival and prognosis was established, and the influencing factors of survival were explored and ranked by the artificial intelligence algorithm. 【Results】 A total of 832 patients were involved, including 438 (52.64%) treated in The Second Hospital of Dalian Medical University, and 394 (47.36%) treated in Nanfang Hospital of Southern Medical University. Of all cases, 579 (69.6%) were non-muscle invasive bladder cancer, and 253 (30.4%) were muscle invasive bladder cancer. Transurethral resection of bladder tumor was conducted in 539 (64.8%) cases, partial cystectomy in 66 (7.9%) cases, and total cystectomy in 227 (27.3%) cases. The data of patients treated in Second Hospital of Dalian Medical University were used for DNN modeling, and the data of patients treated in Nanfang Hospital of Southern Medical University were used for external verification after modeling. Finally, it was concluded that the factors affecting survival and prognosis were T stage, pathological grade, hypertension or cardiovascular and cerebrovascular disease, hemoglobin, blood calcium, smoking, albumin, lymphocytes, age, ratio of albumin/globulin, operation method, N stage, and creatinine clearance rate in descending order. The model could be used for preoperative prediction. 【Conclusion】 Through DNN modeling and external verification, the influencing factors of postoperative survival can be predicted for patients with bladder cancer, and the surgical effects can also be predicted before operation. The model can provide artificial intelligence algorithm support for the selection of surgical methods and postoperative follow-up plans.