Objective: This study aims to explore the association between oral lichen planus (OLP) and Hashimoto’s thyroiditis (HT) and its anti-thyroid antibodies to provide clinical evidence for thyroid disease screening in patients with OLP. Methods: This study was approved by the institutional ethics committee. A total of 125 clinically and histopathologically confirmed patients with OLP were enrolled as the case group, and they were matched with 125 non-OLP controls based on sex and age. Demographic data (gender, age, lesion type, and disease duration) were collected from both groups. Serum levels of thyroid peroxidase antibodies (TPOAb) and thyroglobulin antibodies (TgAb) were measured to analyze their associations with sex, age, lesion type, and disease duration in patients with OLP. Result: The prevalence of HT in patients with OLP was 31.20%, significantly higher than that in the control group (9.60%) (χ2=18.504, P<0.001). The prevalence of HT in female patients with OLP (39.13%) was significantly higher than that in male patients (9.09%)（χ2=10.93，P<0.001）. The positivity rate of thyroid peroxidase antibodies (TPOAb) in patients with OLP (17.6%) was significantly higher than in the control group (4.0%) (χ2=10.989, P<0.001). The TPOAb positivity rate was significantly higher in female patients (22.83%) than in male patients (3.03%) (χ2=5.210, P=0.014). There was no statistically significant difference in the positivity rate of TgAb between patients with OLP (7.2%) and the control group (3.2%) (P>0.05). Patients with erosive lesions had a significantly higher TPOAb positivity rate (25.0%, 17/68) compared to those with non-erosive lesions (8.77%, 5/57), and the difference was statistically significant (χ2=4.831, P=0.028). Logistic regression analysis revealed that female patients with OLP had an 8.935-fold higher risk of being TPOAb positive compared to males (OR=8.935, 95%CI: 1.134-70.388, P=0.038). Patients with erosive OLP lesions had a 3.199-fold higher risk of TPOAb positivity compared to those with non-erosive lesions (OR=3.199, 95%CI: 1.064-9.618, P=0.038). Conclusion The prevalence of HT is higher in patients with OLP, with higher positivity rates of anti-thyroid antibodies observed in female patients and those with erosive OLP lesions. This suggests that thyroid disease screening should be incorporated into the clinical management of patients with OLP, especially for women and patients who present with erosive lesions.

Purpose/Significance To summarize the application progress of artificial intelligence (AI) in the field of digestive endoscopy, to analyze the key challenges and look forward to future trends, so as to provide guidance for clinical practice and research. Method/Process Domestic and international literature databases such as PubMed, Web of Science, and CNKI are retrieved. The application research of AI in the auxiliary diagnosis, process optimization and treatment precision of digestive endoscopy is sorted out. Result/Conclusion Although AI has significant clinical value in the field of digestive endoscopy, its application still faces major challenges, and its prospects and limitations need to be further discussed.

A scoping review was performed to systematically search and summarize the clinical research in the treatment of dysmenorrhea with oral Chinese patent medicines. The oral Chinese patent medicines for treating dysmenorrhea in three major drug lists, guidelines, and textbooks were screened, and the relevant clinical trials were retrieved from eight Chinese and English databases. The key information of the included trials was extracted and visually analyzed. A total of 50 Chinese patent medicines were included, among which oral Chinese patent medicines for the dysmenorrhea patients with the syndrome of Qi stagnation and blood stasis accounted for the highest proportion, and the average daily cost varied greatly among Chinese patent medicines. A total of 150 articles were included, involving 22 Chinese patent medicines, among which Guizhi Fuling Capsules/Pills, Sanjie Zhentong Capsules, and Dan'e Fukang Soft Extract were the most frequently studied. These articles mainly reported randomized controlled trial(RCT), which mainly focused on the comparison of the intervention effect between Chinese patent medicines combined with western medicine and western medicine alone, and the sample size was generally 51-100 cases. The high-frequency outcome indicators belonged to nine domains such as effective rate, adverse reactions, and laboratory examinations. This study showed that oral Chinese patent medicines had advantages in the treatment of dysmenorrhea, and the annual number of related clinical trials showed an overall growing trend. However, there were still problems such as insufficient safety information and vague description of traditional Chinese medicine(TCM) syndromes types in the instructions of Chinese patent medicines. The available clinical research had shortcomings such as uneven distribution of Chinese patent medicines, limited research scale, poor methodological rigor, and insufficient standardization of outcome indicators. In the future, it is necessary to deepen the development of high-quality clinical research and improve the contents of the instructions to ensure the effectiveness and safety of the clinical application of oral Chinese patent medicines in the treatment of dysmenorrhea.
Dysmenorrhea/drug therapy* ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Female ; Administration, Oral ; Nonprescription Drugs/administration & dosage*

To explore the chemical constituents of Ecballium elaterium and their cytotoxicity, this study employed multiple chromatographic techniques including normal-phase silica gel, MCI, octadecylsilyl(ODS), Sephadex LH-20 gel, and semi-preparative liquid chromatography for compound isolation from its active fraction. A total of 12 compounds were obtained, and they were identified according to the analysis of a variety of spectral data and literature comparison as 24Z-20,27-dihydroxy-16α,23α-epoxy-cucurbita-2-O-α-L-rhamnopyranosyl-(1→2)-β-D-glucopyranoside(1), cucurbitacin R(2), cucurbitacin B(3), cucurbitacin D(4), cucurbitacin I(5), cucurbitacin L(6), dehydrodiconiferyl alcohol(7), 3-hydroxy-4-methoxycinnamic acid(8), ferulaic acid(9), p-coumaric acid(10), rutin(11), and lariciresinol-4'-O-β-D-glucoside(12), among which compound 1 was a new compound. Compounds 2-6 had strong cytotoxicity against human lung carcinoma A549 cells with the IC_(50) values of(0.48±0.09),(0.03±0.002),(0.13±0.03),(0.87±0.14),(0.15±0.03) μmol·L~(-1), respectively, which were stronger than the positive control doxorubicin \[IC_(50)=(3.92±1.60) μmol·L~(-1)\].
Humans ; Drugs, Chinese Herbal/toxicity* ; Cell Line, Tumor ; Cucurbitaceae/chemistry* ; Cell Survival/drug effects*

Three taraxerane nortriterpenoids were isolated from mastic by using various modern chromatographic separation techniques. They were identified as(5R,8R,9R,10S,11S,12R,13S,17R,18R)-28-norlupa-11,12-epoxy-14-taraxerene-3,16-dione(1),(5R,8R,9R,10S,11S,12R,13S,17S,18S)-17-hydroxy-28-norlupa-11,12-epoxy-14-taraxerene-3-one(2), and(5R,8R,9R,10R,11S,12R,13R,14S,17S,18S)-14,17-epoxy-28-norlupa-11,12-oxidotaraxerone(3) through the high-resolution electrospray ionization mass spectrometry(HR-ESI-MS), infrared(IR), ultraviolet(UV), nuclear magnetic resonance(NMR), and single-crystal X-ray diffraction techniques as well as comparison with literature data. Compounds 1-3 were C-28 nortriterpenoids and isolated from mastic for the first time, and compounds 1-2 were new ones. In the model for RAW264.7 cell anti-inflammation induced by lipopolysaccharide(LPS), compound 1 demonstrates an inhibitory effect on nitric oxide(NO) [IC_(50)=(13.38±0.68) μmol·L~(-1)], comparable to the activity of the positive control dexamethasone [IC_(50)=(14.59±1.49) μmol·L~(-1)]. Compounds 2 and 3 exhibit weaker inhibitory effects, with IC_(50) values of(24.17±2.56) and(22.25±2.84) μmol·L~(-1), respectively.
Animals ; Mice ; Triterpenes/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Mastic Resin/chemistry* ; Nitric Oxide ; Molecular Structure ; Macrophages/immunology* ; RAW 264.7 Cells

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

OBJECTIVE: To study the effects and mechanisms of juglone on the proliferation and apoptosis of acute myeloid leukemia (AML) cells. METHODS: Juglone and AML targets were collected from public databases, and the intersecting target clusters were taken for functional enrichment analysis to explore the potential mechanism of juglone in the treatment of AML. Then wet experiments were performed to verify. AML cell lines including KG-1a, MV-411, THP-1 and MOLM-13 were treated with different concentrations of juglone for 24 h. MTT assay was used to detect cell viability and determine the IC₅₀, and the most sensitive cell line was screened for subsequent experiments. Flow cytometry was used to detect the apoptosis of cells treated with different concentrations of juglone. Western blot was performed to check the expression of relevant proteins. RESULTS: Eleven targets were obtained as potential targets for juglone in the treatment of AML, and the top ten significantly enriched pathways were intrinsic pathway of apoptosis, programmed cell death, cytochrome c-mediated apoptotic response, apoptosis, apoptotic factor-mediated response, regulated necrosis, cytokine signaling in immune system, signaling by interleukins, oncogene induced senescence, and signal transduction. The cell viability of KG-1a, MV-411, THP-1 and MOLM-13 was decreased with increasing juglone concentration after 24 h of juglone treatment (r =-0.992, -0.886, -0.956, -0.910). Among them, MOLM-13 was the most sensitive to juglone. The results of flow cytometry showed that the apoptosis rate of MOLM-13 tended to significantly increase with the increasing concentration of juglone (r =0.99). At the same time point, p-RIPK1/RIPK1, p-RIPK3/RIPK3, and p-MLKL/MLK were decreased in each juglone concentration group compared with control group. CONCLUSION Juglone inhibits the viability of KG-1a, MV-411, THP-1 and MOLM-13 cells, and induces apoptosis of MOLM-13 cells, the mechanism of which may be related to the inhibition of RIPK1/RIPK3/MLKL signaling pathway.
Humans ; Naphthoquinones/pharmacology* ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Leukemia, Myeloid, Acute/pathology* ; Cell Line, Tumor ; Receptor-Interacting Protein Serine-Threonine Kinases/metabolism* ; Protein Kinases/metabolism* ; Signal Transduction ; Cell Survival/drug effects*

OBJECTIVE: To explore the diagnostic value of shear wave elastography (SWE) for clinically significant prostate cancer (csPCa). METHODS: We retrospectively analyzed the clinical data of 359 cases with suspected prostate cancer (PCa) in Baoji Central Hospital from June 2017 to July 2023. All the patients underwent the following examinations in the order of serum prostate-specific antigen (PSA) testing, transrectal ultrasonography (TRUS), measurement of the stiffness of the entire prostate gland by SWE, and TRUS-guided prostate puncture biopsy. The stiffness of the entire prostate gland was defined as the average of Young's modulus at both sides of the base, middle, and apex of the prostate, including the maximum Young's modulus (Emax), mean Young's modulus (Emean), and minimum Young's modulus (Emin). We analyzed the correlation of the parameters of the stiffness of the entire prostate gland with the pathological results, focusing on their diagnostic performance for csPCa. RESULTS: Of the 359 cases, 189 were diagnosed by pathological puncture biopsy as BPH, 26 as non-csPCa, and 144 as csPCa. The PSA level, Emax, Emean and Emin were significantly higher in the csPCa than those in the BPH and non-csPCa groups (all P < 0.01), but showed no statistically significant difference between the BPH and non-csPCa groups (all P > 0.05). The area under the receiver operating characteristic curve (AUC), optimal cut-off value, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of Emax in the diagnosis of csPCa were 0.852, 143.92 kPa, 72.22%, 84.65%, 75.91%, 81.98% and 79.67%; those of Emean were 0.868, 82.42 kPa, 67.36%, 91.16%, 83.62%, 80.66% and 81.62%; and those of Emin were 0.682, 32.73 kPa, 47.22%, 89.30%, 73.91%, 71.54% and 72.14%, respectively. In the non-csPCa group, Emax, Emean and Emin were found below the optimal cut-off value in 73.08% (19/26), 92.31% (24/26) and 88.46% (23/26), respectively. CONCLUSION The stiffness of the entire prostate gland measured by SWE contributes to the diagnosis of csPCa, reduces unnecessary detection of non-csPCa, and provides some reference for its active surveillance.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Elasticity Imaging Techniques ; Retrospective Studies ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged

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