N-acetyl-p-aminophenol （APAP） is an antipyretic analgesic commonly used in clinical practice， and APAP overdose can cause severe liver injury and even death. In recent years， the incidence rate of APAP-induced liver injury （AILI） tends to increase， and it has become the second most common cause of liver transplantation worldwide. Autophagy is a highly conserved catabolic process that removes unwanted cytosolic proteins and organelles through lysosomal degradation to achieve the metabolic needs of cells themselves and the renewal of organelles. A large number of studies have shown that autophagy plays a key role in the pathophysiology of AILI， involving the mechanisms such as APAP protein conjugates， oxidative stress， JNK activation， mitochondrial dysfunction， inflammatory response and apoptosis. This article elaborates on the biological mechanism of autophagy in AILI， in order to provide a theoretical basis for the treatment of AILI and the development of autophagy regulators.

ObjectiveTo improve the quality standard of Yuanhu Zhitong oral liquid in order to strengthen the quality control of this oral liquid. MethodThin layer chromatography（TLC） was used for the qualitative identification of Corydalis Rhizoma and Angelicae Dahuricae Radix in Yuanhu Zhitong oral liquid by taking tetrahydropalmatine， corydaline reference substances and Corydalis Rhizoma reference medicinal materials as reference， and cyclohexane-trichloromethane-methanol（5∶3∶0.5） as developing solvent， Corydalis Rhizoma was identified using GF254 glass thin layer plate under ultraviolet light（365 nm）. And taking petroleum ether（60-90 ℃） -ether-formic acid（10∶10∶1） as developing solvent， Angelicae Dahuricae Radix was identified using a silica gel G TLC plate under ultraviolet light（305 nm）. High performance liquid chromatography（HPLC） was performed on a Waters XSelect HSS T3 column（4.6 mm×250 mm， 5 μm） with acetonitrile（A）-0.1% glacial acetic acid solution（adjusted pH to 6.1 by triethylamine）（B） as the mobile phase for gradient elution（0-10 min， 20%-30%A； 10-25 min， 30%-40%A； 25-40 min， 40%-50%A； 40-60 min， 50%-60%A）， the detection wavelength was set at 280 nm， then the fingerprint of Yuanhu Zhitong oral liquid was established， and the contents of tetrahydropalmatine and corydaline were determined. ResultIn the thin layer chromatograms， the corresponding spots of Yuanhu Zhitong oral liquid， the reference substances and reference medicinal materials were clear， with good separation and strong specificity. A total of 12 common peaks were identified in 10 batches of Yuanhu Zhitong oral liquid samples， and the peaks of berberine hydrochloride， dehydrocorydaline， glaucine， tetrahydropalmatine and corydaline. The similarities between the 10 batches of samples and the control fingerprint were all >0.90. The results of determination showed that the concentrations of corydaline and tetrahydropalmatine had good linearity with paek area in the range of 0.038 6-0.193 0， 0.034 0-0.170 0 g·L^-1， respectively. The methodological investigation was qualified， and the contents of corydaline and tetrahydropalmatine in 10 batches of Yuanhu Zhitong oral liquid samples were 0.077 5-0.142 9、0.126 1-0.178 2 g·L^-1， respectively. ConclusionThe established TLC， fingerprint and determination are simple， specific and reproducible， which can be used to improve the quality control standard of Yuanhu Zhitong oral liquid.

Thrombus is a major factor leading to cardiovascular diseases such as myocardial infarction and stroke. Although fibrinolytic anti-thrombotic drugs have been widely used in clinical practice, they are still limited by narrow therapeutic windows, short half-lives, susceptibility to inactivation, and abnormal bleeding caused by non-targeting. Therefore, it is crucial to effectively deliver thrombolytic agents to the site of thrombus with minimal adverse effects. Based on the long blood circulation and excellent drug-loading properties of human serum albumin (HSA), we employed genetic engineering techniques to insert a functional peptide (P-selectin binding peptide, PBP) which can target the thrombus site to the N-terminus of HSA. The fusion protein was expressed using Pichia pastoris and purified by Ni-chelating affinity chromatography. After being loaded with gold nanoparticles (Au NPs), the fusion protein formed homogeneous and stable nanoparticles (named as PBP-HSA@Au) with a diameter of 17.7 ± 1.0 nm and a zeta potential of -11.3 ± 0.2 mV. Cytotoxicity and hemolysis tests demonstrated the superb biocompatibility of PBP-HSA@Au. Platelet-targeting experiments confirmed the thrombus-targeting ability conferred by the introduction of PBP into PBP-HSA@Au. Upon near-infrared ray (NIR) irradiation, PBP-HSA@Au rapidly converted light energy into heat, thereby disrupting fibrinogen and exhibiting outstanding thrombolytic efficacy. The designed HSA fusion protein delivery system provides a precise, rapid, and drug-free treatment strategy for thrombus therapy. This system is characterized by its simple design, high biocompatibility, and strong clinical applicability. All animal experiments involved in this study were carried out under the protocols approved by the Animal Experiment Ethics Committee of Jiangnan University [JN. No20230915S0301015(423)].

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To describe the outcomes of extracorporeal membrane oxygenation (ECMO) for patients after aortic surgery and to summarize the experience. Methods The clinical data of patients who received ECMO support after aortic surgery in Fuwai Hospital from 2009 to 2020 were retrospectively analyzed. The patients who received an aortic dissection surgery were allocated into a dissection group, and the other patients were allocated into a non-dissection group. The in-hospital and follow-up survival rates were compared between the two groups, and the causes of death were analyzed. Results A total of 22 patients were enrolled, including 17 patients in the dissection group [13 males and 4 females, with a median age of 54 (46, 61) years] and 5 patients in the non-dissection group [3 males and 2 females, with a median age of 51 (41, 65) years]. There was no statistical difference in the age and gender between the two groups (P>0.05). The in-hospital survival rate (11.8% vs. 100.0%, P=0.001) and follow-up survival rate (11.8% vs. 80.0%, P=0.009) of the patients in the dissection group were significantly lower than those in the non-dissection group. The causes of death in the dissection group included massive bleeding and disseminated intravascular coagulation (3 patients), ventricular thrombosis (1 patient), irreversible brain injury (2 patients), visceral malperfusion syndrome (4 patients) and irreversible heart failure (5 patients). Conclusion ECMO after aortic dissection surgery is associated with high mortality, which is related to the pathological features of aortic dissection and severely disrupted coagulation system after the surgery. For these patients, strict indication selection and optimal management strategy are important.

Hepatocellular carcinoma （HCC） is a common tumor in the digestive tract， the formation mechanism of which remains to be fully elucidated. Although surgery， radiation， chemotherapy， targeted therapy， and immunotherapy have achieved significant results in the treatment of HCC， these methods are accompanied by a considerable number of adverse reactions and complications. In recent years， Chinese medicine has shown remarkable efficacy in the treatment of HCC， and both basic experiments and clinical studies have confirmed the effectiveness of Chinese medicine， which exerts therapeutic effects via multiple components and multiple targets. However， the pathogenesis of HCC is exceptionally complex and not fully understood， which means that studies remain to be carried out regarding the specific mechanism of Chinese medicine in preventing and treating HCC. Network pharmacology and molecular biology can be employed to decipher the mechanism of Chinese medicine in the treatment of diseases. Studies have shown that Chinese medicine can regulate various pathways such as the mitogen-activated protein kinase （MAPK）， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt）， Hedgehog， Wnt/β-catenin， nuclear factor-κB （NF-κB）， Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3）， and transforming growth factor-β （TGF-β）/Smad signaling pathways. Chinese medicine can exhibit its anti-HCC effects by inducing cell apoptosis， inhibiting cell proliferation and migration， and blocking the cell cycle via the above pathways. However， the specific mechanisms remain to be systematically studied. This study comprehensively reviews the regulatory effects of Chinese medicine on HCC-related signaling pathways to reveal the molecular mechanisms of Chinese medicine in the treatment of HCC. This view holds the promise of providing new targets， new perspectives， and new therapies for HCC treatment and advancing the modernization and development of Chinese medicine.

AIM To investigate the influencing factors in scale-up of extraction process for Yunpi Xiaoshi Prescription.METHODS HPLC was adopted in the content determination of catechin,ferulic acid,taxifolin,isovitexin,narirutin,atractylenolideⅡ,naringin,morin,hesperidin,luteolin,hederagenin,atractylenolideⅠ,naringenin and hesperetin,the fingerprints were established,after which the effects of container volume,optimal fire and feeding quantity on the contents of various constituents were evaluated.RESULTS Fifteen batches of samples demonstrated the similarities of more than 0.995.Fourteen constituents showed good linear relationships within their own ranges(r>0.999 0),whose average recoveries were 96.4%-103.3%with the RSDs of 0.5%-2.7%.The influencing degree of optimal fire was greater than that of container volume and feeding quantity.CONCLUSION The combination of multi-component content determination and fingerprints can provide data basis and theoretical reference for the technology of consistency evaluation in scale-up of extraction process for Yunpi Xiaoshi Prescription.

Hepatocellular carcinoma(HCC)is the most common type of primary liver cancer and the third leading cause of cancer-related deaths,and it is a serious threat to human health and has become a clinical problem that needs to be solved urgently.Extracellular vesicles(EV)are membrane vesicles containing multiple components and play an important role in the development and progression of HCC.This article summarizes the effect of EVs of different origins on HCC and analyzes the mechanism of action of EV on HCC,so as to provide new perspectives for the diagnosis and treatment of HCC.

Tumor necrosis factor-α(TNF-α)is involved in the regulation of multiple biological processes such as the proliferation,invasion,migration,and chemotherapy resistance of hepatocellular carcinoma(HCC)cells through TNF receptor-mediated signaling pathways.At the same time,TNF-α also plays a role in inducing the apoptosis of HCC cells.Some TNF-α inhibitors have been shown to inhibit the progression of HCC and prolong survival time.At present,the potential mechanism of action of TNF-α in HCC remains unclear,and exploration of the interaction between TNF-α and HCC can help to determine the potential therapeutic targets for HCC.This article summarizes the latest research advances in the mechanism of action of TNF-α in HCC and introduces the possibility of targeting TNF-α as a treatment method for HCC,in order to provide a theoretical basis for the prevention and treatment of liver cancer and drug research and development.

Objective To explore the independent risk factors that affect the overall survival(OS)of elderly patients with hepatocellular carcinoma(HCC,≥60 years old)and build a nomogram prediction model.Methods Clinical data of all elderly patients with HCC from the SEER database from 2005 to 2020 were downloaded from SEER database.In accordance with the inclusion and exclusion criteria,the screened patients were randomly assigned to a training group(70%)and a validation group(30%).The independent risk factors of elderly patients with HCC were determined by univariate and multivariate Cox regression analyses and further validated by Kaplan-Meier survival analysis.On the basis of the determined variables,nomograms were developed and verified to predict the OS of elderly patients with HCC at 6,12,and 24 months.The consistency index(C index),calibration curve,receiver's operating characteristic(ROC)curve,and area under curve(AUC)were used to evaluate the prediction efficiency and discrimination ability of the prediction model,and decision curve analysis(DCA)was used to evaluate the potential clinical application value of the nomogram.Results A total of 1134 elderly patients with HCC were included,with 793 in the training group and 341 in the validation group.Seven variables,including age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy,were identified as independent prognostic factors of this population.The constructed nomogram shows excellent prediction performance,with C indices of 0.745 in the training group and 0.704 in the validation group.The AUC values of the training group at 6,12,and 24 months were 0.785,0.788,and 0.798,respectively,and those of the validation group were 0.780,0.725,and 0.607,respectively.The calibration curve shows good consistency from the predicted survival probability to the actual probability.The ROC curve and DCA show that the nomogram proposed in this study has good prediction ability.Conclusion Age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy are important influencing factors for the survival of elderly patients with HCC.The prediction model of prognosis nomogram constructed in this study has good predictive value,and it can be used to predict the OS of elderly patients with HCC,which could be helpful for individualized survival assessment and clinical management of these patients.