Objective To perform the identification at the subspecies-level of Mycobacterium abscessus(M.abscessus)and analyze its characteristics based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS).Methods Bi-otyper software was used to construct the predicted peak spectrum of M.abscessus subsp.abscessus and M.abscessus subsp.massiliense.The predicted peak spectrum was constructed with expected maximum peak value number of 70 and peak frequency of 100％in the ex-perimental group and control group,respectively.A blind test was performed on 31 strains of M.abscessus that were not used to con-struct predictive peak spectra to evaluate the identification efficiency of predictive peak spectra.FlexAnalysis software was used to sum-marize and analyze the list of mass spectral peak value of M.abscessus,and screen the specific peaks in mass spectra of different sub-species of M.abscessus.The principal component analysis(PCA)algorithm was used to perform the cluster analysis for the data from mass spectrometry of M.abscessus,and explore the feasibility of PCA clustering in distinguishing the subspecies of M.abscessus.Results In the experimental group,96.8％(30/31)of the strains were correctly identified,and one strain of M.abscessus subsp.massiliense with rough colony form was mistakenly identified as M.abscessus subsp.abscessus.In control group,77.4％(24/31)of the strains were correctly identified,but 7 strains of M.abscessus subsp.massiliense were incorrectly identified or unable to be identified.The identification efficiency in the experimental group was significantly better than that in the control group with statistical difference(X2=5.167,P=0.026).M.abscessus subsp.abscessus exhibited three specific peaks(m/z 4 001.67,4 386.81 and 4 963.17),and M.abscessus subsp.massiliense also exhibited three specific peaks(m/z 4 950.48,4 381.78 and 5 214.90).In the PCA 3D scatter plot,the data points of M.abscessus subsp.abscessus and M.abscessus subsp.massiliense were relatively dispersed without obvious clus-tering.The PC A dendrograph could be divided into six branches in which only four branches were composed of a single subspecies.The minimum level value of distance between M.abscessus subsp.abscessus and M.abscessus subsp.massiliense was about 0.1.Conclusion The predicted peak spectrum based on MALDI-TOF MS with the expected maximum peak number of 70 could accurately identify M.abscessus at the subspecies level.The specific peak of mass spectrometry method in this study should be feasible to distinguish the subspecies of M.abscessus subsp.abscessus and the subspecies of M.abscessus subsp.Massiliense,but PCA cluster analysis cannot be used as a means to distinguish M.abscessus subsp.abscessus from M.abscessus subsp.massiliense.

Objective To develop and internally validate a nomogram prediction model for evaluating the risk of sarcopenia in patients with type 2 diabetes mellitus(T2DM).Methods A total of 766 patients with T2DM hospitalized in the Department of Endocrinology of our hospital from January 2023 to July 2024 were selected and divided into a simple T2DM group(n=627)and a combined sarcopenia(Sar)group(n=139)according to the presence or absence of sarcopenia.The general data and biochemical indexes of the two groups were compared.LASSO regression and Logistic regression were used to screen predictors and construct a nomogram model.Bootstrap resampling was used for internal validation.Receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test calibration curve analysis,and decision curve analysis(DCA)were used to evaluate the performance of the nomogram prediction model.Results The proportion of females,age,DM duration,proportion of diabetic peripheral neuropathy,proportion of diabetic retinopathy(DR),hemoglobin A1c(HbA1c)and high-density lipoprotein cholesterol in the Sar group were higher than those in the T2DM group(P<0.05),while body mass index(BMI),serum creatinine/cystatin C ratio(CCR),triglyceride,albumin(Alb)and alanine aminotransferase were lower than those in the T2DM group(P<0.05).The predictive variables screened by LASSO regression analysis were age,gender,ethnicity,DM duration,hypertension,DR,BMI,HbA1c,CCR,25(OH)D,HDL-C,and Alb.Logistic regression analysis showed that age,HbA1c,CCR,BMI and ethnicity were the influencing factors of sarcopenia in patients with T2DM.Based on this,a nomogram was constructed.ROC curve analysis showed that the AUC of the nomogram prediction model was 0.91,and internal validation indicated that the corrected AUC remained 0.91.The Hosmer-Lemeshow test results showed that the predicted values were highly consistent with the actual observed values(P>0.05).The DCA results show that when the threshold probability is between 0.1 and 1.0,the net benefit brought by applying this model for prediction is superior to the strategy assuming that all patients receive or none receive treatment.Conclusions The nomogram model effectively predicts the risk of sarcopenia in patients with T2DM,providing a convenient and practical screening tool for clinical use.

The development of organ transplantation has brought new hope to many patients with organ failure and their families， but it has also raised numerous ethical issues. How to balance the rights and interests between organ donors and recipients， as well as ensure the fairness and transparency of the transplantation process has become an urgent problem to be solved. Based on the latest Regulations on Organ Donation and Transplantation and the Working Rules of the Ethics Committee for Human Organ Transplantation， the current difficulties and challenges in organ transplantation ethics were deeply analyzed. Taking the ethical review practice of Shenzhen Third People’s Hospital as an example， this paper explored issues such as full informed consent of both donors and recipients， risk assessment of marginal donors， and the review of relationships between donors and recipients. It also explored and constructed a set of complete ethical review models for organ transplantation through refined management. This model improved the efficiency and quality of ethical review as well as enriched the related knowledge system. It is expected that the implementation of this model can provide a reference for promoting effective ethical review nationwide， advancing the improvement and development of ethical review work in organ transplantation. Meanwhile， more medical ethics experts and practitioners are called upon to focus on and engage in the research and practice of ethical review in organ transplantation， jointly promoting progress in this field.

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

Prostate cancer(PCa) is a common malignant tumor among elderly men, with high incidence and mortality rates worldwide, posing a serious threat to human health. Traditional treatments face limitations, highlighting the urgent need for novel therapeutic strategies. Recent studies on the regulatory mechanisms of micro ribonucleic acid(microRNA, miRNA) in tumor development has identified miRNA as new targets for PCa diagnosis and treatment. Traditional Chinese medicine(TCM), with its multi-mechanism, multi-target, and multi-pathway regulatory properties, shows promising potential in miRNA-based PCa therapy. This review summarized recent findings on miRNA' roles in PCa and research progress of TCM intervention and found that a variety of miRNA played important regulatory roles in cell differentiation, proliferation, apoptosis, invasion, metastasis, immune microenvironment, and drug resistance, and their potential as biomarkers for PCa diagnosis, prognosis, and therapy, indicating the potential to be a biomarker for the diagnosis, prognosis evaluation, and treatment of PCa. The review concluded that the active components of TCM(terpenoids, flavonoids, alkaloids, and others) and compounds(Yishen Tonglong Decoction, Shenhu Decoction, Zhoushi Qiling Decoction, Fuzheng Yiliu Decoction, and Qilan Formula) could regulate the expression of their downstream target genes by acting on specific miRNA and affect the above biological behaviors of PCa cells, thus playing a role in the treatment of PCa. This review aims to provide a theoretical basis for miRNA as potential biomarkers and therapeutic targets for PCa and suggest new avenues for further development of targeted therapy strategies against miRNA.
Humans ; MicroRNAs/metabolism* ; Prostatic Neoplasms/metabolism* ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Animals ; Gene Expression Regulation, Neoplastic/drug effects*

Eight amide alkaloids(1-8) were isolated from the 70% ethanol extract of Cannabis Fructus using silica gel column chromatography, MCI column chromatography, and semi-preparative high-performance liquid chromatography(HPLC). Their structures were identified as hempspiramide A(1), N-[(4-hydroxyphenyl)ethyl]formamide(2), N-acetyltyramide(3), N-trans-p-coumaroyltyramine(4), N-trans-caffeoyltyramine(5), N-trans-feruloyltyramine(6), N-cis-p-coumaroyltyramine(7), N-cis-feruloyltyramine(8) by using spectroscopic methods such as NMR and MS. Among these compounds, compound 1 was a new amide alkaloid, while compounds 2 and 3 were isolated from Cannabis Fructus for the first time. Some of the isolates were assayed for their α-glucosidase inhibitory activity. Compounds 5-7 displayed significant inhibitory activity against α-glucosidase with IC_(50) values ranging from 1.07 to 4.63 μmol·L~(-1).
Cannabis/chemistry* ; Alkaloids/pharmacology* ; Amides/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Fruit/chemistry* ; Molecular Structure ; alpha-Glucosidases/chemistry* ; Chromatography, High Pressure Liquid

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

The chemical components of Carthami Flos were investigated by using macroporous resin, silica gel column chromatography, reversed-phase octadecylsilane(ODS) column chromatography, Sephadex LH-20, and semi-preparative high-performance liquid chromatography(HPLC). The planar structures of the compounds were established based on their physicochemical properties and ultraviolet-visible(UV-Vis), infrared(IR), high-resolution electrospray ionization mass spectrometry(HR-ESI-MS), and nuclear magnetic resonance(NMR) spectroscopic technology. The absolute configurations were determined by comparing the calculated and experimental electronic circular dichroism(ECD). Six flavonoid C-glycosides were isolated from the 30% ethanol elution fraction of macroporous resin obtained from the 95% ethanol extract of Carthami Flos, and identified as saffloquinoside F(1), 5-hydroxysaffloneoside(2), iso-5-hydroxysaffloneoside(3), isosafflomin C(4), safflomin C(5), and vicenin 2(6). Among these, the compounds 1 to 3 were new chalcone C-glycosides. The compounds 1, 2, 4, and 5 could significantly increase the viability of H9c2 cardiomyocytes damaged by oxygen-glucose deprivation/reoxygenation(OGD/R) at a concentration of 50 μmol·L~(-1), showing their good cardioprotective activity.
Glycosides/pharmacology* ; Flowers/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Carthamus tinctorius/chemistry* ; Chalcones/pharmacology* ; Animals