OBJECTIVES: The application of photodynamic therapy in solid tumors has attracted increasing attention in recent years, and the efficiency of photosensitizers is a crucial determinant of therapeutic efficacy. This study aims to evaluate the cytotoxic effects of a novel photosensitizer, PEG-MTPABZ-PyC, in photodynamic therapy against gastric cancer cells. METHODS: Gastric cancer MKN45 cells were treated with PEG-MTPABZ-PyC. A high-content live-cell imaging system was used to assess the cellular uptake kinetics and subcellular localization of the photosensitizer. The cytotoxic effects of PEG-MTPABZ-PyC-mediated photodynamic therapy were examined using the cell counting kit-8 (CCK-8) assay and flow cytometry, while the intrinsic cytotoxicity of the photosensitizer alone was verified by the CCK-8 assay. Intracellular reactive oxygen species (ROS) generation after photodynamic therapy was detected using 2'-7'-dichlorodihydrofluorescein diacetate (DCFH-DA). RESULTS: PEG-MTPABZ-PyC alone exhibited no cytotoxicity toward MKN45 cells, indicating excellent cytocompatibility. The compound efficiently entered cells within 6 hours and localized predominantly in lysosomes. Upon light irradiation, PEG-MTPABZ-PyC-mediated photodynamic therapy induced significant cytotoxicity compared with the control group (P<0.05) and generated abundant intracellular ROS. CONCLUSIONS The novel photosensitizer PEG-MTPABZ-PyC demonstrates potent photodynamic cytotoxicity against gastric cancer cells, showing promising potential for further development in gastric cancer photodynamic therapy.
Humans ; Stomach Neoplasms/drug therapy* ; Photochemotherapy/methods* ; Photosensitizing Agents/pharmacology* ; Cell Line, Tumor ; Polyethylene Glycols/chemistry* ; Reactive Oxygen Species/metabolism* ; Mesoporphyrins/pharmacology*

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Drug development encompasses multiple processes, wherein protein subcellular localization is essential. It promotes target identification, treatment development, and the design of drug delivery systems. In this research, a deep learning framework called LocPro is presented for predicting protein subcellular localization. Specifically, LocPro is unique in (a) combining protein representations from the pre-trained large language model (LLM) ESM2 and the expert-driven tool PROFEAT, (b) implementing a hybrid deep neural network architecture that integrates convolutional neural network (CNN), fully connected (FC) layer, and bidirectional long short-term memory (BiLSTM) blocks, and (c) developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels. Additionally, a dataset was curated and divided using a homology-based strategy for training and validation. Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction. The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization. All in all, LocPro serves as a valuable complement to existing protein localization prediction tools. The web server is freely accessible at https://idrblab.org/LocPro/.

OBJECTIVE To explore the mechanism of action of Fushao Diqin Decoction in the treatment of colorectal cancer.METHODS In vitro cell experiments were conducted using Fushao Diqin Decoction to treat colorectal cancer CT-26 cells,and the cell proliferation and migration abilities were detected.Flow cytometry was used to detect the levels of reactive oxygen species(ROS)in colorectal cancer CT-26 cells,as well as the levels of iron ions(Fe2+),malondialdehyde(MDA),and the activity of su-peroxide dismutase(SOD).PCR Array and Western blot methods were used to analyze and verify the differential gene expression of ferroptosis.Balb/c mice were randomly divided into a blank control group,a model group,an oxaliplatin group(1.5 mg·kg-1·d-1),a low-dose group of Fushao Diqin Decoction(4.49 g·kg-1·d-1),a medium dose group of Fushao Diqin Decoction(8.97 g·kg-1·d-1),and a high-dose group of Fushao Diqin Decoction(17.94 g·kg-1·d-1)for in vivo animal experi-ments.The effects of Fushao Diqin Decoction on Fe2+,ROS,MDA levels,SOD activity,and Nrf2,Keap1,SLC7A11 and GPX4 ex-pression levels in mouse tumor tissues were tested.RESULTS In vitro cell experiments showed that compared with the blank control group,Fushao Diqin Decoction significantly inhibited the proliferation and migration of colorectal cancer CT-26 cells in a dose-de-pendent manner.Fushao Diqin Decoction could increase the Fe2+content(P＜0.05)and ROS level(P＜0.01)in colorectal cancer CT-26 cells,increase the MDA level in CT-26 cells of colorectal cancer(P＜0.01)and significantly reduce SOD activity(P＜0.01).Iron death PCR array analysis found that compared with the blank control group,after intervention with Fushao Diqin Decoc-tion,the expression of genes GPX4 and SLC7A11 was significantly downregulated,while the expression of GSTA1,HMOX1,Ca9,Chac1,Keap1,Sqstm1,NOX1,FTH1,Tfr1,SAT2,Pparg,and Hamp was significantly upregulated.Western blot analysis revealed that after intervention with Fushao Diqin Decoction,the expression of Keap1 protein was upregulated(P＜0.01),while the expression of Nrf2,SLC7A11,and GPX4 proteins was downregulated(P＜0.01)in colorectal cancer CT-26 cells.The results of in vivo animal experiments showed that Fushao Diqin Decoction significantly inhibited the growth of subcutaneous transplanted tumors in mice(P＜0.05),increased the degree of tumor tissue necrosis,and levels of Fe2+,ROS,and MDA(P＜0.05,P＜0.01),decreased SOD ac-tivity(P＜0.01)and upregulated Keap1 protein expression(P＜0.01),while downregulated Nrf2,SLC7A11,and GPX4 protein ex-pression(P＜0.01).CONCLUSION Fushao Diqin Decoction has an anti-colorectal cancer effect and may promote ferroptosis in colorectal cancer cells by inhibiting the Nrf2/SLC7A11/GPX4 signaling pathway to exert its anti-colorectal cancer effect.

Professor Qiu Maoliang,in his clinical practice and experience summary of acupuncture-moxibustion in the treatment of febrile diseases,proposes four acupuncture-moxibustion antipyretic methods,namely,releasing the exterior and reducing fever,clear-ing the interior and purging the heat,nourishing the yin and purging the heat,and assisting the yang and reducing fever,which respec-tively correspond to the exterior heat syndrome,interior heat syndrome,yin deficiency fever syndrome,and yang deficiency fever syn-drome.The academic connotation of Professor Qiu Maoliang's acupuncture-moxibustion for fever can be summarized as examining the syndrome and seeking the cause,and classifying fever;coordinating the four methods of acupuncture-moxibustion and operation tech-niques,which reflect Professor Qiu Maoliang's academic characteristics,such as the convergence of Chinese and Western medicine,mutual learning of acupuncture-moxibustion and medicine,and the connection of effect mechanism and theory.Professor Qiu Ma-oliang's academic thought of acupuncture-moxibustion antipyretic method not only helps to provide basis for further application of acu-puncture-moxibustion in contemporary clinical practice,but also enriches the modern biological connotation of acupuncture-moxibus-tion medicine.

The standardized workflow of computer-aided static guided implant surgery includes preoperative exami-nation,data acquisition,guide design,guide fabrication and surgery.Errors may occur at each step,leading to irrevers-ible cumulative effects and thus impacting the accuracy of implant placement.However,clinicians tend to focus on fac-tors causing errors in surgical operations,ignoring the possibility of irreversible errors in nonstandard guided surgery.Based on the clinical practice of domestic experts and research progress at home and abroad,this paper summarizes the sources of errors in guided implant surgery from the perspectives of preoperative inspection,data collection,guide de-signing and manufacturing and describes strategies to resolve errors so as to gain expert consensus.Consensus recom-mendation:1.Preoperative considerations:the appropriate implant guide type should be selected according to the pa-tient's oral condition before surgery,and a retaining screw-assisted support guide should be selected if necessary.2.Da-ta acquisition should be standardized as much as possible,including beam CT and extraoral scanning.CBCT performed with the patient's head fixed and with a small field of view is recommended.For patients with metal prostheses inside the mouth,a registration marker guide should be used,and the ambient temperature and light of the external oral scan-ner should be reasonably controlled.3.Optimization of computer-aided design:it is recommended to select a handle-guided planting system and a closed metal sleeve and to register images by overlapping markers.Properly designing the retaining screws,extending the support structure of the guide plate and increasing the length of the guide section are methods to feasibly reduce the incidence of surgical errors.4.Improving computer-aided production:it is also crucial to set the best printing parameters according to different printing technologies and to choose the most appropriate postpro-cessing procedures.

[Objective] To analyze factors influencing the postoperative progression-free survival (PFS) in patients with renal cell carcinoma (RCC), construct a nomogram model for predicting PFS, and compare it with other predictive models. [Methods] A retrospective analysis was conducted on the general and clinical data of 263 RCC patients who underwent surgery at the Department of Urology, the Second Affiliated Hospital of Xi'an Jiaotong University, during Apr.2014 and Nov.2021.Patients were divided into the progression group (n=34) and non-progression group (n=229). The data of the two groups were analyzed to identify prognostic variables associated with PFS, and a nomogram model was constructed.The performance of this model was compared with that of the University of California, Los Angeles Integrated Staging System (UISS) score, tumor staging, tumor size, tumor pathological grade, and tumor necrosis scoring system (SSIGN score), and Leibovich score by plotting receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Calibration curve of the nomogram was used to validate the model's performance, and K-fold cross-validation was employed to assess its external validity. [Results] Multivariate Cox regression analysis revealed that age (HR=2.255, 95%CI: 1.032-4.926), T stage (HR=5.766, 95%CI: 2.351-14.142), pathological grade (HR=3.100, 95%CI: 1.445-6.651), and pathological necrosis (HR=2.656, 95%CI: 1.253-5.629) were independent risk factors of PFS (P<0.05). The nomogram model based on these four independent variables had AUCs (95%CI) of 0.750 (0.630-0.870), 0.803 (0.705-0.902), and 0.847 (0.757-0.937) for 1, 3, and 5 years, respectively, which were higher than those of UISS score, SSIGN score, and Leibovich score.The calibration curve of the nomogram showed good consistency between predicted and actual probabilities.In K-fold cross-validation, the average AUCs of the nomogram at 1, 3, and 5 years were 0.761, 0.808, and 0.842, indicating good external validity of the nomogram. [Conclusion] The nomogram based on age, T stage, pathological grade and pathological necrosis can accurately predict the risk of postoperative PFS in RCC patients at 1, 3, and 5 years, which can aid clinicians in the early identification of high-risk progression.

Objective:To observe the efficacy of cosmetic suturing techniques combined with topical recombinant human basic fibroblast growth factor (rh-bFGF) in repairing facial trauma.Methods:A prospective study was conducted on 140 patients with facial trauma admitted to the Department of Burn and Plastic Surgery, Northern Jiangsu People＇s Hospital from January to December 2022. Patients were divided into two groups based on different treatment methods using a random number table method: treatment group (70 cases), including 38 males and 32 females aged 3 to 54 (23.1±8.2) years, received cosmetic suturing techniques combined with topical rh-bFGF for wound repair; control group (70 cases), including 36 males and 34 females aged 2 to 49 (22.3±7.5) years, only received cosmetic suturing techniques for wound repair. Patients were followed up 2 weeks post-surgery to evaluate wound healing quality. Patient satisfaction was assessed using the visual analogue scale (VAS). Six months post-surgery, scar conditions were evaluated using the Vancouver scar scale (VSS).Results:In the treatment group, 65 cases were directly sutured, and 5 cases were repaired with skin flaps, with a first-class healing rate of 100% (70/70). In the control group, 66 cases were directly sutured, and 4 cases were repaired with skin flaps, with a first-class healing rate of 91.4% (64/70). The first-class healing rate in the treatment group was higher than that in the control group, with a statistically significant difference ( P=0.037). Two weeks post-surgery, the VAS score for surgical satisfaction in the treatment group was (1.13±0.52) scores, which was lower than that in the control group (2.56±1.32) scores, with a statistically significant difference ( P<0.001). Six months post-surgery, the VSS score for the treatment group was (2.49±1.27) scores, which was lower than that in the control group (4.67±1.93) scores, with a statistically significant difference ( P<0.001). Conclusions:In repairing facial trauma, the combination of cosmetic suturing techniques and topical rh-bFGF can improve wound healing quality, reduce wound scarring, and enhance patient satisfaction with surgery.

Objective To explore the application value of simple manual rubber traction device in endoscopic submucosal dissection(ESD)of colorectal laterally spreading tumor(LST).Methods A retrospective cohort study was used to collect patients who underwent ESD for colorectal LST from June 1,2022 to June 9,2023.According to the use of the manual rubber traction device,patients were divided into colorectal traction ESD group(tESD group,n=22)and colorectal conventional ESD group(cESD group,n=44),the differences were compared between the two groups in the number of intraoperative hemostasis,the number of titanium clips used,the success rate of ESD,incidence of postoperative complications,hospital stay time,and treatment costs.Results The tESD group had relatively longer operation time and shorter hospitalization days than those of cESD group,but the difference was not statistically significant(P>0.05);There were no statistically significant differences in the number of titanium clips used,postoperative complication rates,and hospitalization costs between the two groups(P>0.05).Conclusion Colorectal traction ESD can be used as a remedial plan when traditional ESD is difficult to perform,and the use of traction does not increase the hospitalization cost of patients,and the postoperative complications of the two methods are similar.It is worthy of clinical application.