OBJECTIVE To study the improvement effect and mechanism of Tripterygium wilfordii multiglucoside （TWM） on nephrotic syndrome in rats. METHODS The nephrotic syndrome model was established by intravenous injection of adriamycin via the tail vein. The modeling rats were randomly divided into the model group （distilled water）， prednisone group （10 mg/kg）， and TWM high- and low-dose groups （10 and 5 mg/kg， respectively）. Additionally， blank group （distilled water） without model induction was established. Each group consisted of 9 rats. Rats in each group were administered the corresponding drugs or distilled water by gavage， once a day， for 6 consecutive weeks. The histopathological morphology of kidney tissues in rats was observed； the levels of 24-hour urinary protein （24 h-UTP） and serum biochemical indicators [albumin （ALB）， blood urea nitrogen （BUN）， serum creatinine （SCr）， cholesterol （CHOL）， and triglyceride （TG）] in rats were determined； the levels of oxidative stress indicators [superoxide dismutase （SOD）， malondialdehyde （MDA）] in kidney tissue of rats were determined； expressions of hypoxia-inducible factor-1α （HIF-1α）/microRNA-155-5p （miR-155-5p）/nuclear factor erythriod 2- related factor 2 （Nrf2） signaling pathway-related mRNA and protein in the renal tissues of rats were detected. RESULTS Compared with the blank group， the rats in the model group exhibited disordered renal tissue structure， with a small amount of glomerular necrosis and edema of the renal tubular epithelial cells. 24 h-UTP， serum levels of SCr， BUN， CHOL and TG， MDA content， mRNA and protein expressions of HIF-1α and Keap1 as well as the expression of miR-155-5p in renal tissues were increased significantly （ P ＜0.05）. Serum level of ALB， SOD level in renal tissue as well as mRNA and protein expressions of Nrf2 were decreased significantly （ P ＜0.05）. Compared with the model group， TWM high-dose and low-dose groups exhibited significant improvements in renal injury， with notable reversals in the levels of the above quantitative indicators （ P ＜0.05）. CONCLUSIONS TWM can alleviate oxidative stress-induced damage and thereby improve nephrotic syndrome in rats by regulating the HIF-1α/miR-155-5p/Nrf2 signaling pathway.

Objective:To analyze the epidemiological characteristics of cases involving monkey injuries at medical institutions surrounding Qianlingshan Park in Guiyang City, and to provide a reference basis for preventive measures to reduce monkey injuries and standardized post-exposure treatment.Methods:A retrospective cross-sectional study was conducted, collecting 1 900 cases of monkey-induced injuries in Qianlingshan Park treated at the outpatient clinic of Guizhou Provincial Center for Disease Control and Prevention and the Department of Surgery at Qianling Hospital, Guiyang City, from 2021 to 2024. Statistical analysis was performed using Pearson′s chi-square test.Results:Total of 1 900 cases of monkey-related injuries in Qianlingshan Park were collected from 2021 to 2024. The exposure time distribution exhibited significant seasonality, with 48.58% of cases occurring during July and August, totaling 923 cases, indicating a peak in the summer. There were 774 male patients and 1 126 female patients, with a ratio of 1∶1.45.and significant differences were observed between different age groups and genders (χ2=195.00, P<0.001), with the highest number of cases occurring in the 0-9 and 20-29 age groups, accounting for 22.05%(419 cases) and 21.79%(414 cases), respectively. The upper limbs were the most common injury site, accounting for 50.84% of the total cases(966 cases in total), with significant differences between gender and injury location (χ2=22.00, P<0.001), Among females, the proportion of injuries to the upper and lower limbs (30.11% and 16.47%, respectively) was higher than that among males (20.74% and 8.63%, respectively). The majority of injuries were classified as Grade Ⅲ, making up 57.38% of cases(1 069 cases in total). Self-treatment after exposure was the most common approach(60.44%), with significant differences observed between wound severity and treatment method (χ2=6.90, P=0.032), Patients with Grade Ⅱ and Grade Ⅲ wounds were more likely to choose self-management (26.84% and 33.23%, respectively) than outpatient management (15.14% and 24.15%). Approximately 98.05% (1 863 cases) of monkey-injured patients had received rabies vaccinations. Conclusions:This study analyzes monkey-related injuries in Qianlingshan Park from 2021 to 2024, clarifying the temporal distribution of injuries, demographic characteristics, injury sites, and treatment methods. The findings provide references for optimizing human-monkey conflict management and the prevention and control of zoonotic diseases in urban ecological parks.

The objective of this study was to investigate whether Stenotrophomonas maltophilia(S.maltophilia)induces ferroptosis,a form of iron-dependent cell death,leading to an inflamma-tory response in RAW 264.7 macrophages by elevating oxidative stress levels.RAW 264.7 cells were stimulated with varying concentrations of S.maltophilia.The concentrations of TNF-αand IL-1β were quantified using ELISA kits to assess the impact of S.maltophilia on the inflammatory response in RAW 264.7 cells.The activities of glutathione(GSH)and malondialdehyde(MDA)levels were measured using GSH and MDA assay kits to evaluate changes in oxidative stress.West-ern blot analysis was employed to detect the expression levels of COX-2,xCT,GPX4,and other proteins involved in ferroptosis signaling pathways,thereby investigating the effect of S.malto-philia on ferroptosis in RAW 264.7 cells.The results demonstrated that S.maltophilia induced concentration-dependent increases in inflammation and oxidative stress in RAW 264.7 cells,up-regulated the expression of COX-2 protein and down-regulated the expression of xCT and GPX4.Pretreatment with the ROS inhibitor N-acetylcysteine(NAC)significantly mitigated the S.malto-philia-induced oxidative stress and ferroptosis signaling activation,thereby alleviating the inflam-matory response.Furthermore,treatment with the ferroptosis inhibitor Fer-1 directly suppressed the activation of the ferroptosis signaling pathway and reversed the inflammation induced by S.maltophilia.These findings suggest that S.maltophilia triggers inflammation in RAW 264.7 cells by activating the ferroptosis signaling pathway via an increase in oxidative stress levels.

The objective of this study was to investigate whether Stenotrophomonas maltophilia(S.maltophilia)induces ferroptosis,a form of iron-dependent cell death,leading to an inflamma-tory response in RAW 264.7 macrophages by elevating oxidative stress levels.RAW 264.7 cells were stimulated with varying concentrations of S.maltophilia.The concentrations of TNF-αand IL-1β were quantified using ELISA kits to assess the impact of S.maltophilia on the inflammatory response in RAW 264.7 cells.The activities of glutathione(GSH)and malondialdehyde(MDA)levels were measured using GSH and MDA assay kits to evaluate changes in oxidative stress.West-ern blot analysis was employed to detect the expression levels of COX-2,xCT,GPX4,and other proteins involved in ferroptosis signaling pathways,thereby investigating the effect of S.malto-philia on ferroptosis in RAW 264.7 cells.The results demonstrated that S.maltophilia induced concentration-dependent increases in inflammation and oxidative stress in RAW 264.7 cells,up-regulated the expression of COX-2 protein and down-regulated the expression of xCT and GPX4.Pretreatment with the ROS inhibitor N-acetylcysteine(NAC)significantly mitigated the S.malto-philia-induced oxidative stress and ferroptosis signaling activation,thereby alleviating the inflam-matory response.Furthermore,treatment with the ferroptosis inhibitor Fer-1 directly suppressed the activation of the ferroptosis signaling pathway and reversed the inflammation induced by S.maltophilia.These findings suggest that S.maltophilia triggers inflammation in RAW 264.7 cells by activating the ferroptosis signaling pathway via an increase in oxidative stress levels.

Objective To explore whether butorphanol tartrate as an adjuvant of ropivacaine for brachial plexus block can reduce the incidence of rebound pain after brachial plexus block.Methods Based on sample size calculation,174 patients undergoing upper limb bone surgery were included in this study and randomized into three groups using statistical software:butorphanol tartrate compound local anesthetic(group B1),brachial plexus block with 0.25%ropivacaine 20 mL(including adjuvant butorphanol 1mg);intravenous butorphanol group(group B2),brachial plexus block with 0.25%ropivacaine 20 mL,in addition,1mg of butorphanol was administered i.v;control(group C),only 0.25%ropivacaine 20ml for brachial plexus block.The patients were visited the day before operation,and the basic information of the patients was obtained.At the same time,the Douleur Neuropathique 4 questions(DN4)was used to evaluate whether there were neuropathic components(DN4≥4)in the site to be operated on,and the Numerical rating scale(NRS)was introduced to the patients,and the preoperative NRS value was obtained.30 minutes before the operation,the same anesthesiologist with rich experience in nerve block completed the ultrasound-guided brachial plexus block(interscalene approach),and tested whether the block effect was perfect.After entering the operating room,the patients were given general anesthesia,and the duration of operation,vital signs during operation,dosage of analgesics and whether or not using tourniquet were recorded.After the operation,the patients were sent to the postanesthesia care unit,and then sent to the ward when the patients reached the standard of leaving the room.Distribute pain diaries to patients and their families and instruct them to fill in relevant matters.The patients were followed up at 0 h,6 h,12 h,18 h,24 h and 36 h after operation to obtain the NRS value at each time point after operation,the time when the block disappeared and the highest NRS value within 12 hours,the first use of rescue analgesics,the use of postoperative analgesics,postoperative adverse events and the quality of patient recovery.Results The incidence of rebound pain was 31.6%in B1,48.2%in B2,and 54.4%in C.The pairwise comparison showed statistical difference between B1 and C(P<0.05).Rebound pain score in the three groups was B1 group0.05).There were no statistical differences in the duration of motor block,sensory block duration,duration of analgesia,time to first request for rescue analgesia,and QoR-15 recovery quality score(P>0.05).There was no statistical difference in the incidence of postoperative adverse effects among the three groups(P>0.05).Conclusion This study found that brachial plexus block with 1mg butorphanol tartrate as an adjuvant for ropivacaine reduced the incidence of rebound pain and rebound pain scores after upper limb orthopedic surgery and reduced postoperative opioid consumption.

Objective: To evaluate the adherence of large language model (LLM)-based healthcare research to the Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM) checklist, a framework designed to enhance the transparency and reproducibility of studies on the accuracy of LLMs for medical applications. Materials and Methods: A systematic PubMed search was conducted to identify articles on LLM performance published in high-ranking clinical medicine journals (the top 10% in each of the 59 specialties according to the 2023 Journal Impact Factor) from November 30, 2022, through June 25, 2024. Data on the six MI-CLEAR-LLM checklist items: 1) identification and specification of the LLM used, 2) stochasticity handling, 3) prompt wording and syntax, 4) prompt structuring, 5) prompt testing and optimization, and 6) independence of the test data—were independently extracted by two reviewers, and adherence was calculated for each item. Results: Of 159 studies, 100% (159/159) reported the name of the LLM, 96.9% (154/159) reported the version, and 91.8% (146/159) reported the manufacturer. However, only 54.1% (86/159) reported the training data cutoff date, 6.3% (10/159) documented access to web-based information, and 50.9% (81/159) provided the date of the query attempts. Clear documentation regarding stochasticity management was provided in 15.1% (24/159) of the studies. Regarding prompt details, 49.1% (78/159) provided exact prompt wording and syntax but only 34.0% (54/159) documented prompt-structuring practices. While 46.5% (74/159) of the studies detailed prompt testing, only 15.7% (25/159) explained the rationale for specific word choices. Test data independence was reported for only 13.2% (21/159) of the studies, and 56.6% (43/76) provided URLs for internet-sourced test data. Conclusion Although basic LLM identification details were relatively well reported, other key aspects, including stochasticity, prompts, and test data, were frequently underreported. Enhancing adherence to the MI-CLEAR-LLM checklist will allow LLM research to achieve greater transparency and will foster more credible and reliable future studies.

Objective: To evaluate the adherence of large language model (LLM)-based healthcare research to the Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM) checklist, a framework designed to enhance the transparency and reproducibility of studies on the accuracy of LLMs for medical applications. Materials and Methods: A systematic PubMed search was conducted to identify articles on LLM performance published in high-ranking clinical medicine journals (the top 10% in each of the 59 specialties according to the 2023 Journal Impact Factor) from November 30, 2022, through June 25, 2024. Data on the six MI-CLEAR-LLM checklist items: 1) identification and specification of the LLM used, 2) stochasticity handling, 3) prompt wording and syntax, 4) prompt structuring, 5) prompt testing and optimization, and 6) independence of the test data—were independently extracted by two reviewers, and adherence was calculated for each item. Results: Of 159 studies, 100% (159/159) reported the name of the LLM, 96.9% (154/159) reported the version, and 91.8% (146/159) reported the manufacturer. However, only 54.1% (86/159) reported the training data cutoff date, 6.3% (10/159) documented access to web-based information, and 50.9% (81/159) provided the date of the query attempts. Clear documentation regarding stochasticity management was provided in 15.1% (24/159) of the studies. Regarding prompt details, 49.1% (78/159) provided exact prompt wording and syntax but only 34.0% (54/159) documented prompt-structuring practices. While 46.5% (74/159) of the studies detailed prompt testing, only 15.7% (25/159) explained the rationale for specific word choices. Test data independence was reported for only 13.2% (21/159) of the studies, and 56.6% (43/76) provided URLs for internet-sourced test data. Conclusion Although basic LLM identification details were relatively well reported, other key aspects, including stochasticity, prompts, and test data, were frequently underreported. Enhancing adherence to the MI-CLEAR-LLM checklist will allow LLM research to achieve greater transparency and will foster more credible and reliable future studies.

This article outlines the systematic radiological approach preoperative evaluation of perihilar cholangiocarcinoma (pCCA) using CT and MRI to provide key information regarding the suitability for curative surgical resection. It discusses older classification systems (BismuthCorlette, Memorial Sloan Kettering Cancer Center T staging) and follows the Korean Society of Abdomi­nal Radiology 2019 consensus recommendations for step-by-step assessment.The correlation between radiological, surgical, and pathological findings is illustrated through a pictorial review of pathologically proven cases. Benign and malignant mimics of pCCA are included to provide a comprehensive overview.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult