Objective To investigate intraspecific and interspecific variation within Malassezia iso-lates from patients with pityriasis versicolor by random amplified polymorphic DNA (RAPD) analysis, to learn the difference between RAPD analysis and physiological and biochemical methods in the typing of Malassezia species, and to explore the relationship between RAPD patterns and Malassezia species. Methods A total of 47 Malassezia isolates were obtained from 34 patients with pityriasis versicolor, and they were classified into 5 species by morphological, physiological and biochemical features, I.e., M. Fin'fur, M. Obtusa, M. Globosa, M. Restricta and M. Sympodialis. Genomic DNA was extracted from the 47 clinical isolates and 10 reference strains (including 7 species) of Malassezia. PCR was performed using 4 random primers including S22, S24, S25 and S33. RAPD patterns were analyzed by NTSYS software and dendrogram was autogenerated. Results Genomic DNA of most strains was successfully amplified with four primers, espe-cially with primers S22 and S24 that resulted in rather stable and clear DNA bands. A total of 82 fragments were amplified from all tested strains. These strains showed both interspecifie and intraspecific variation. Multiple swains were isolated from different body sites of 4 patients and identified into different species by biochemical and morphological typing; those swains from same hosts occupied contiguous positions in the dendrogram and exhibited a high genetic convergence. Conclusion The phenomenon that different strains from a co-host show a high genetic convergence indicates that species specificity and evolution of Malassezia are closely related to its hosts.

Pericoronary adipose tissue(PCAT)is a special tissue that adheres closely to the coronary arteries and is part of the epicardial adipose tissue(EAT).It can not only interact with adjacent blood vessel walls,but also be affected by the systemic metabolic status.The PCAT attenuation index measurement technique is a new method for detecting coronary artery inflammation,which is an independent risk factor for cardiovascular disease.The review of the research progress of PCAT by reviewing and analyzing the relevant literature and clinical work experience,and use of the early monitoring of PCAT,early and targeted treatment measures can be carried out for patients to prevent or treat a variety of complications.

Gallbladder carcinoma (GBC) is the most common malignancy of the biliary tract, radical resection is the only effective treatment for GBC at present. However, the postoperative effect is still poor. Therefore, identifying the key prognostic factors and establishing an individual and accurate survival prediction model for GBC are critical to prognosis assessment, treatment options and clinical decision support in patients with GBC. The prediction value of current commonly used TNM staging system is limited. Cox regression model is the most commonly used classical survival analysis method, but it is difficult to establish the association between prognostic variables. Nomogram and machine learning techniques including Bayesian network have been used to establish survival prediction model of GBC in recent years, which representing a certain degree of advancement, however, the model precision and clinical application still need to be further verified. The establishment of more accurate survival prediction models for GBC based on machine learning algorithm from Chinese multicenter large sample database to guide the clinical decision-making is the main research direction in the future.

Gallbladder carcinoma (GBC) is the most common malignancy of the biliary tract, radical resection is the only effective treatment for GBC at present. However, the postoperative effect is still poor. Therefore, identifying the key prognostic factors and establishing an individual and accurate survival prediction model for GBC are critical to prognosis assessment, treatment options and clinical decision support in patients with GBC. The prediction value of current commonly used TNM staging system is limited. Cox regression model is the most commonly used classical survival analysis method, but it is difficult to establish the association between prognostic variables. Nomogram and machine learning techniques including Bayesian network have been used to establish survival prediction model of GBC in recent years, which representing a certain degree of advancement, however, the model precision and clinical application still need to be further verified. The establishment of more accurate survival prediction models for GBC based on machine learning algorithm from Chinese multicenter large sample database to guide the clinical decision-making is the main research direction in the future.

OBJECTIVE： To establish the method for content determination of volatile oil of Schizonepeta tenuifolia and Forsythia suspensa， and to optimize the extraction technology of the volatile oil. METHODS： The contents of β-pinene and pulegone were determined by GC method. The determination was performed on Hp-5 capillary column. The detector was hydrogen flame ion detector with programmed temperature. The sample size was 0.5 μL， the split ratio was 70 ∶ 1， the carrier gas was nitrogen， the inlet temperature was 250 ℃， the detector temperature was 280 ℃， the air flow rate was 390 mL/min， the hydrogen flow rate was 36 mL/min， the tail flow rate was 15 mL/min， and the nitrogen flow rate was 1 mL/min. Based on single factor test， orthogonal test combined with information entropy method were used to optimize the extraction technology of S. tenuifolia and F. suspensa using soaking time， extraction time， material-liquid ratio and forsythia grain size as factors， with the extraction amount of volatile oil， the content of β-pinene and pulegone and their comprehensive score as indexes.  RESULTS： The linear range of β-pinene and pulegone 1.575-7.875（r＝0.999 9） and 1.892-9.46 μg（r＝0.999 7）， respectively. The limits of quantitation were 0.10 and 0.25 μg； the limits of detection were 0.03 and 0.08 μg； RSDs of precision， stability and reproducibility tests were less than 2％ （n＝6）； the recoveries were 97.77％-100.01％ （RSD＝0.93％，n＝9） and 96.47％-99.00％（RSD＝0.89％， n＝9）. The optimal extraction technology was soaking 2 h， extracting for 6 h， 10-fold water （mL/g）， half a clove of granularity. Under this condition， the extraction amount of volatile oil， the contents of β-pinene and pulegone were 3.6 mL， 1 450.4 mg， 127.6 mg， respectively. RSD were 1.62％， 0.20％， 1.42％. CONCLUSIONS： Established method is simple， accurate and reproducible， and the optimal extraction technology is stable and feasible.

Tetrandrine(TET),a natural bisbenzyl isoquinoline alkaloid extracted from Stephania tetrandra S.Moore,has diverse pharmacological effects.However,its effects on melanoma remain unclear.Cellular prolif-eration assays,multi-omics analyses,and xenograft models were used to determine the effect of TET on melanoma.The direct target of TET was identified using biotin-TET pull-down liquid chromatograph-mass spectrometry(LC-MS),cellular thermal shift assays,and isothermal titration calorimetry(ITC)analysis.Our findings revealed that TET treatment induced robust cellular autophagy depending on activating transcription factor 6(ATF6)-mediated endoplasmic reticulum(ER)stress.Simultaneously,it hindered autophagic flux by inducing cytoskeletal protein depolymerization in melanoma cells.TET treatment resulted in excessive accumulation of reactive oxygen species(ROS)and simultaneously triggered mitophagy.Sirtuin 5(SIRT5)was ultimately found to be a direct target of TET.Mechanistically,TET led to the degradation of SIRT5 via the ubiquitin(Ub)-26S proteasome system.SIRT5 knockdown induced ROS accumulation,whereas SIRT5 overexpression attenuated the TET-induced ROS accumula-tion and autophagy.Importantly,TET exhibited anti-cancer effects in xenograft models depending on SIRT5 expression.This study highlights the potential of TET as an antimelanoma agent that targets SIRT5.These findings provide a promising avenue for the use of TET in melanoma treatment and underscore its potential as a therapeutic candidate.

With the continuous development of China's aging society and the prevalence of unhealthy lifestyles, the incidence of cardiovascular disease in China has been increasing in recent years. Among them, atrial fibrillation (AF) is the most common arrhythmia disease. In recent years, pulsed field ablation (PFA) has been continuously applied to AF treatment as a novel treatment. This paper first introduces the principle of PFA applied to AF treatment, and introduces the research progress of PFA in different directions, such as the comparison of different ablation methods, the study of physical parameters, the study of ablation area, the study of tissue specificity and clinical research. Then, the clinical prior research of PFA is discussed, including the use of simulation software to obtain the simulation effect of different parameters, the evaluation of ablation effect during animal research, and finally the current AF treatment. Various prior studies and clinical studies are summarized, and suggestions are made for the shortcomings found in the study of AF treatment and the future research direction is prospected.

Neuromyelitis optica (NMO)/NMO spectrum disorder (NMOSD) is a chronic, recurrent, antibody-mediated, inflammatory demyelinating disease of the central nervous system, characterized by optic neuritis and transverse myelitis. The binding of NMO-IgG with astrocytic aquaporin-4 (AQP4) functions directly in the pathogenesis of >60% of NMOSD patients, and causes astrocyte loss, secondary inflammatory infiltration, demyelination, and neuron death, potentially leading to paralysis and blindness. Current treatment options, including immunosuppressive agents, plasma exchange, and B-cell depletion, are based on small retrospective case series and open-label studies. It is noteworthy that monoclonal antibody (mAb) therapy is a better option for autoimmune diseases due to its high efficacy and tolerability. Although the pathophysiological mechanisms of NMOSD remain unknown, increasingly, therapeutic studies have focused on mAbs, which target B cell depletion, complement and inflammation cascade inactivation, blood-brain-barrier protection, and blockade of NMO-IgG-AQP4 binding. Here, we review the targets, characteristics, mechanisms of action, development, and potential efficacy of mAb trials in NMOSD, including preclinical and experimental investigations.