The methodological framework for interventional clinical research of Chinese medicine （CM） under the research mode of syndrome dominating disease provides a set of technical principles and methods to design， evaluate， and implement of this kind. It consists of three main parts including general principles， research points and key design elements， with a total of 25 items. This methodological framework proposes implementing requirements and recommendations in a variety of aspects， including basic norms to be followed in relevant studies， perspectives for selecting research topics， as well as the technological details on study population （P）， intervention （I） and comparison（C）， outcome measurement （O）， time frame （T） of treatment and follow-up， sample orientation （prospective versus retrospective）， study design （S） format and type. To provide practical guidance for future studies， this article clearly explains each items of the methodological framework through some supportive cases.

Objective:To compare the antiplatelet effects of vicagrel and clopidogrel in patients with different cytochrome P450 (CYP) 2C19 genotypes.Methods:This is a post-hoc analysis of a phase Ⅱ clinical trial of vicagrel, which included patients with coronary heart disease who underwent percutaneous coronary intervention from August 2018 to June 2019 in 18 centers. Patients were categorized based on the presence of CYP 2C19 *2 or *3 loss-of-function (LOF) alleles into LOF carrier group ( n=111) and non-LOF carrier group ( n=90). Each group included patients received vicagrel 5 mg, 6 mg, 7.5 mg, or clopidogrel 75 mg for 28 days per study protocol. P2Y 12 reaction units (PRU) were measured using VerifyNow at baseline, 6 to 8 hours after loading dose, 7 to 10 days after randomization, and 28 days after randomization and the percentage inhibition of platelet aggregation (%IPA) was calculated. The primary endpoint was %IPA on day 28. Within the patients from the General Hospital of Northern Theater Command, 8 to 12 patients in each study arms were enrolled in a prespecified pharmacokinetic sub-study, measuring the time to reach maximum plasma concentration (T max), peak plasma concentration (C max), and area under the plasma concentration-time curve (AUC). Results:Among 201 patients, the age was (58.8±8.5) years, and 139 (69.2%) were male. In non-LOF carriers, there was no significant differences in PRU values and %IPA between the vicagrel 5 mg, 6 mg, 7 mg, and clopidogrel groups at all time points (all P>0.05). In LOF carriers, %IPA was significantly higher in the vicagrel-treated groups than in the clopidogrel group at 6-8 hours after loading dose (22.9 (14.2, 31.5)% vs. 19.8 (11.0, 28.6)% vs. 29.5 (20.9, 38.0)% vs. 12.9 (3.9, 21.9)%, P=0.038) and 7-10 days after randomization (22.4 (14.2, 30.5)% vs. 34.4 (26.1, 42.6)% vs. 39.8 (31.8, 47.9)% vs. 24.7 (16.3, 33.2)%, P=0.001), with a trend towards higher %IPA in the vicagrel-treated groups at day 28 (30.4 (21.3, 39.6)% vs. 36.5 (27.2, 45.7)% vs. 40.8 (31.8, 49.8)% vs. 30.7(21.2, 40.2)%, P=0.056). Pharmacokinetic results of 35 patients showed that the C max and AUC of the active metabolite M15-2 of vicagrel was similar to that of clopidogrel in non-LOF carriers, but AUC between vicagrel 5 mg, 6 mg, 7 mg and clopidogrel were significantly different in LOF carriers ((5.6±0.6) h·μg -1·L -1 vs. (6.8±2.7) h·μg -1·L -1 vs. (9.2±3.3) h·μg -1·L -1 vs. (4.2±1.9) h·μg -1·ml -1, P=0.020). Conclusion:Vicagrel and clopidogrel have similar antiplatelet effects in non-LOF carriers, but vicagrel exhibits superior antiplatelet effects in LOF carriers.

Important forensic diagnostic indicators of sudden death in coronary atherosclerotic heart dis-ease,such as acute or chronic myocardial ischemic changes,sometimes make it difficult to locate the ischemic site due to the short death process,the lack of tissue reaction time.In some cases,the de-ceased died of sudden death on the first-episode,resulting in difficulty for medical examiners to make an accurate diagnosis.However,clinical studies on coronary instability plaque revealed the key role of coronary spasm and thrombosis caused by their lesions in sudden coronary death process.This paper mainly summarizes the pathological characteristics of unstable coronary plaque based on clinical medi-cal research,including plaque rupture,plaque erosion and calcified nodules,as well as the influencing factors leading to plaque instability,and briefly describes the research progress and technique of the atherosclerotic plaques,in order to improve the study on the mechanism of sudden coronary death and improve the accuracy of the forensic diagnosis of sudden coronary death by diagnosing different patho-logic states of coronary atherosclerotic plaques.

Adaptive immunity is a critical component of the human immune system, playing an essential role in identifying antigens and orchestrating a tailored immune response. This review delves into the significant strides made in the development of epitope prediction tools, their integration into vaccine design, and their pivotal role in enhancing immunotherapy strategies. The review emphasizes the transformative potential of these tools in refining our understanding and application of immune responses. Adaptive immunity distinguishes itself from innate immunity by its ability to recognize specific antigens and remember past infections, leading to quicker and more effective responses upon subsequent exposures. This facet of immunity involves complex interactions between various cell types, primarily B cells and T cells, which recognize distinct epitopes presented by antigens. Epitopes are small sequences or configurations on antigens that are recognized by the immune receptors on B cells and T cells, acting as the focal points of immune recognition and response. Epitopes can be broadly classified into two types: linear (or sequential) epitopes and conformational (or discontinuous) epitopes. Linear epitopes consist of a sequence of amino acids in a protein that are recognized by B cells and T cells in their primary structure form. Conformational epitopes, on the other hand, are formed by spatially distinct amino acids that come together in the tertiary structure of the protein, often recognized by the immune system only when the protein folds into its native conformation. The role of epitopes in the immune response is critical as they are the primary triggers for the activation of B cells and T cells. When an epitope is recognized, it can stimulate B cells to produce antibodies, mobilize helper T cells to secrete cytokines, or prompt cytotoxic T cells to kill infected cells. These actions form the basis of the adaptive immune response, tailored to eliminate specific pathogens or infected cells effectively. The prediction of B cell and T cell epitopes has evolved with advances in computational biology, leading to the development of several sophisticated tools that utilize a variety of algorithms to predict the likelihood of epitope regions on antigens. Tools employing machine learning methods, such as support vector machines (SVMs), XGBoost, random forest, analyze large datasets of known epitopes to classify new sequences as potential epitopes based on their similarity to known data. Moreover, deep learning has emerged as a powerful method in epitope prediction, leveraging neural networks capable of learning high-dimensional data from vast amounts of immunological inputs to identify patterns that may not be evident to other predictive models. Deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs) and ESM protein language model have demonstrated superior accuracy in mapping the nonlinear relationships inherent in protein structures and epitope interactions. The application of epitope prediction tools in vaccine design is transformative, enabling the development of epitope-based vaccines that can elicit targeted immune responses against specific parts of the pathogen. These vaccines, by focusing the immune response on highly specific regions of the pathogen, can offer high efficacy and reduced side effects. Similarly, in cancer immunotherapy, epitope prediction tools help identify tumor-specific antigens that can be targeted to develop personalized immunotherapeutic strategies, thereby enhancing the precision of cancer treatments. The future of epitope prediction technology appears promising, with ongoing advancements anticipated to enhance the precision and efficiency of these tools further. The integration of broader immunological data, such as patient-specific immune profiles and pathogen variability, along with advances in AI and machine learning, will likely drive the development of more adaptive, robust, and clinically relevant prediction models. This will not only improve the effectiveness of vaccines and immunotherapies but also contribute to our broader understanding of immune mechanisms, potentially leading to breakthroughs in the treatment and prevention of multiple diseases. In conclusion, the development and refinement of epitope prediction tools stand as a cornerstone in the advancement of immunological research and therapeutic design, highlighting a path toward more precise and personalized medicine. The ongoing integration of computational models with experimental immunology holds the promise of revolutionizing our approach to combating infectious diseases and cancer.

Objective:Based on the forgetting curve principle to construct a model for the popularization of cardiopulmonary resuscitation among college students and validate its effectiveness, providing reference for the promotion of cardiopulmonary resuscitation.Methods:A randomized controlled trial was conducted. In October 2021, a multistage random sampling method was used to select 262 freshmen and sophomores from the School of Mathematics and Physics at Leshan Normal University as the control group, and 262 freshmen and sophomores from the School of Electronic Information and Artificial Intelligence as the experimental group.The control group received conventional training, while the experimental group, in addition to conventional training, received cardiopulmonary resuscitation retraining based on the Ebbinghaus forgetting curve at three time intervals: within 1 week, within 1 month, and within 1 to 6 months after training. The retraining included online self-learning, on-site observation reinforcement, and social practice sublimation. The cardiopulmonary resuscitation knowledge awareness rate and cardiopulmonary resuscitation skill assessment of the two groups were compared before training, immediately after training, and 6 months after training.Results:The final number of participants was 256 in the control group (126 males and 130 females) and 224 in the experimental group (110 males and 114 females). There were no statistically significant differences in cardiopulmonary resuscitation knowledge awareness rate and cardiopulmonary resuscitation skill scores between the two groups before and immediately after training (both P>0.05). Immediately after training, the average cardiopulmonary resuscitation knowledge awareness rate in the experimental and control groups were 91% (1 626/1 792) and 88% (1 806/2 048), respectively, which were significantly higher than the pre-training rates of 55% (989/1 792) and 55% (1 129/2 048) ( χ2=8.46, 7.30, both P<0.01). The cardiopulmonary resuscitation skill scores were (42.00 ± 3.55) and (41.68 ± 3.40), respectively, higher than the pre-training scores of (15.41 ± 4.85) and (15.92 ± 4.66) ( t=84.47, 45.56, both P<0.05). Six months after training, the awareness rates of determination of consciousness and cardiac arrest judgment, cardiopulmonary resuscitation steps, chest compression location, frequency, depth, and the ratio of chest compressions to artificial ventilation in the experimental group in college students were 90% (201/224), 93% (208/224), 92% (206/224), 93% (208/224), 89% (200/224), and 94% (210/224), respectively, higher than those in the control group, which were 62% (158/256), 71% (182/256), 77% (198/256), 73% (186/256), 70% (178/256), and 69% (176/256) ( χ2 values were 4.21-7.03, all P<0.01). The cardiopulmonary resuscitation skill score in the experimental group was (49.77 ± 3.68), higher than the control group′s (34.95 ± 4.79) ( t=38.25, P<0.01). The proportion of students confident in using cardiopulmonary resuscitation to save others was 92% (206/224) in the experimental group, higher than 58% (148/256) in the control group ( χ2=7.68, P<0.01). Six months after training, the cardiopulmonary resuscitation skill score in the experimental group was (49.77 ± 3.68), higher than the immediate post-training score of (42.00 ± 3.55), whereas the control group's cardiopulmonary resuscitation skill score was (34.95 ± 4.79), lower than the immediate post-training score of (41.68 ± 3.40) ( t=22.74, 18.33, both P<0.01). Conclusions:The cardiopulmonary resuscitation popularization model for college students based on the forgetting curve is conducive to mastering cardiopulmonary resuscitation knowledge and skills among trained college students, enhancing their confidence in using cardiopulmonary resuscitation techniques to rescue others. Moreover, it helps save the human, financial, and material resources required for cardiopulmonary resuscitation training to a certain extent and is worthy of promotion.

Ferroptosis is a form of regulated cell death that depends on iron and reactive oxygen spe-cies.Different from apoptosis,necrosis,and autophagy,ferroptosis is characterized by the accumulation of lipid peroxides in cells.Studies have discovered that ferroptosis is closely associated with the occurrence and develop-ment of tumors and inducing ferroptosis in tumor cells can enhance the therapeutic effects of drugs on tumors.This article summarizes the latest research progress in ferroptosis regarding its mechanisms and associations with tumors,aiming to provide a reference for further understanding the interaction mechanisms between ferroptosis and tumors and offering new insights and targets for the treatment of tumors.

The purpose of this study was to investigate the regulatory effects of biofilm associated non-coding small RNA(sRNA)00085 on the survival and environmental fitness of Listeria monocytogenes.Homologous recombination technology was used to construct a deletion mutant strain(△sRNA 00085)and a complementary strain(C △sRNA 00085)of the sRNA00085 target gene.The differences in biological characteristics were compared among the standard strain,△sRNA 00085,and C△sRNA 00085.The deletion of sRNA00085 led to a significant decrease in biofilm formation capacity and sensitivity to several antibiotics,including penicillin,piperacillin,doxycycline,tetracycline,vancomycin,and cotrimoxazole.However,only the minimum inhibitory concentration(MIC)of tetracycline exhibited a significant decrease in △sRNA00085.Meanwhile,the decreased biofilm formation and antibiotic resistance of the sRNA00085 mutant were restored in the C△sRNA00085 strain.Furthermore,we investigated the transcription levels of tetracycline resistance-related genes in L.monocytogenes.Down-regu-lated transcription of the tetS gene but no significant difference in transcription of the tetA gene were observed in △sRNA 00085 compared with the standard strain and C△sRNA00085.Moreover,the elimination of sRNA00085 did not affect bacterial growth ability or sensitivity to disinfectants.These findings highlight that sRNA00085 plays an important role in the environ-mental adaptability of L.monocytogenes by affecting bacterial biofilm formation and resistance.

The SYBR Green Ⅰ real-time fluorescence quantitative PCR detection method was used to determine the prevalence of Japanese encephalitis virus(JEV)in mosquito vectors and cattle se-rum samples in Xinjiang.The E gene fragment of the JEV strain was amplified by PCR,cloned into a pEASY-Blunt vector,produced as a recombinant plasmid,and its sensitivity,specificity and re-producibility were verified.Between 2021 and 2022,serum samples were taken in the regions of Hami,Altay,Ili,Aksu,and Kashi in order to monitor the prevalence of JEV in livestock in Xin-jiang.The positive rate was discovered and evaluated using the established detection method.The established detection method showed a good linear relationship,and the detection interval was 4.03X102-4.03×109 copies/pL.The correlation coefficient was 0.995,the slope was-3.431,and the extreme value of the lower limit of sensitivity was 4.03 × 102 copies/pL.This method has no specific amplification for Zika virus(ZIKV)and Dengue virus(DENV).The intra group coefficient of variation of reproducibility was 0.53％-1.27％,and the inter group coefficient of variation was 0.48％-1.43％.Using this method to detect serum samples from livestock in Xinjiang from 2021 to 2022,the total positive rate was 3.28％,with positive detection rates in horses,cows,and sheep being 2.35％,6.77％,and 3.74％respectively,the virus was identified as Type Ⅰ JEV.A SYBR Green Ⅰ real-time PCR method for the detection of genotype 1 JEV was established.JEV was de-tected in the serum of horses,cattle and sheep in Xinjiang,with a total positive rate of 3.11％.

Objective:To investigate the clinical features and prognostic factors of patients with primary extranodal diffuse large B-cell lymphoma(DLBCL)in the rituximab era.Methods:The continuous data of newly diagnosed DLBCL patients with complete case data and first-line treated with rituximab,cyclophosphamide,epirubicin,vincristine,prednisone(R-CHOP)or R-CHOP treatment admitted to the Affiliated Hospital of Inner Mongolia Medical University from January 2013 to November 2023 were retrospectively analyzed.The clinical and molecular immunological features and prognosis of extranodal DLBCL were analyzed,Logistics regression model was used to analyzed the influencing factors of patients prognosis.Results:A total of 237 patients were enrolled,of which 54.4％(129 cases)were primary extranodal sources of DLBCL,and the most common extranodal sites were as follows:stomach(19.4％),colon(14.7％),tonsils(12.4％),skin/muscle(9.3％),central(7.7％),nasal/nasopharynx(6.2％),bone marrow(5.4％),testes(4.7％).The 3-year PFS and OS of DLBCL patients with extranodal involvement of bone marrow,central,liver,gastrointestinal or pulmonary origin were significantly lower than those of other patients with extranodal DLBCL of non-special site origin,and the difference was statistically significant(PFS:65.2％vs 76.7％,P=0.008;OS:82.6％vs 88.3％,P=0.04).Multivariate analysis showed that the prognostic factors affecting OS included NCCN-IPI score＞3(OR:0.142,95％CI:0.041-0.495,P=0.002),non-germinal center source(OR:2.675,95％CI:1.069-6.694,P=0.036),and DEL patients(OR:0.327,95％CI:0.129-0.830,P=0.019).An NCCN-IPI score＞3 was the only independent adverse prognostic factor for PFS(OR:0.235,95％CI:0.116-0.474,P＜0.001).Conclusion:Patients with primary extranodal source DLBCL are more common in gastrointestinal involvement,and the overall prognosis is worse than that of patients with lymph node origin.NCCN-IPI score is an important independent adverse prognostic factor for predicting overall survival and progression-free survival in patients with primary extranodal diffuse large B-cell lymphoma.

Objective:To investigate the early predictive value of halving time(HT)of BCR-ABLIS for deep molecular response(DMR)in patients with chronic myeloid leukemia(CML)treated with tyrosine kinase inhibitor(TKI).Methods:The continuous data of newly diagnosed CML patients with complete case data and first-line imatinib treatment admitted to the Affiliated Hospital of Inner Mongolia Medical University from January 2014 to June 2022 were retrospectively analyzed.Combined with the clinical characteristics of the patients and the efficacy analysis at each time point,a logistic regression model was used to explore the independent influencing factors of DMR,and combined HT of BCR-ABLIS with BCR-ABLIS level at 3 months to predict DMR of the patients.Results:Univariate and multivariate analyses showed that HT and 3-month BCR-ABLIS levels were independent influencing factors for MR4,MR4.5,and stable MR4.5(P＜0.05).ROC curve analysis determined that the best cut-off value of HT was 28 days.Compared with patients with HT＞28 d,patients with HT ≤28 d were more likely to obtain DMR at 2,3,and 5 years,respectively(74.2％vs 27.3％,71.2％vs 22.7％,and 63.6％vs 25.0％,all P＜0.001).The patients were divided into 4 groups according to BCR-ABLIS levels at 3 months and HT.Kaplan-Meier analysis showed that the patients in the BCR-ABLIS ≤10％and HT≤28 d group had a higher probability of obtaining cumulative MR4 and MR4.5 than those in the BCR-ABLIS≤10％and HT＞28 d group(P＜0.05);Patients in the BCR-ABLIS＞10％and HT≤28 d group had a higher probability of obtaining cumulative MR4 and MR4.5 than those in the BCR-ABLIS＞10％and HT＞28 d group(P＜0.05).Conclusion:In addition to BCR-ABLIS level,HT of BCR-ABLIS can be used as another important predictor of treatment efficacy in CML patients.The combination of BCR-ABLIS level and HT has a more accurate predictive value for long-term molecular response of CML patients after TKI treatment.