In this paper， the name， origin， producing area， harvesting， processing and functional indications of Arcae Concha were systematically combed and verified by consulting the ancient and modern literature， in order to provide a basis for the development of famous classical formulas containing Arcae Concha. Arcae Concha was first recorded in the name of Han in Bencao Shiyi， but later， due to the influence of LI Shizhen's error of combining Han item with Kuiha in the Ming dynasty， there were aliases such as Kuilu and Fulao， and Yizong Bidu began to include Walengzi as its correct name and has been used ever since. The textual descriptions and illustrations of the medicinal materials of Arcae Concha contained in the materia medica of the past generations were consistent with the modern Arca inflata， A. subcrenata and A. granosa. In ancient times， there were medicinal records of two parts of shell and meat， but now the shell is used as medicine， and the meat is mostly edible. In ancient times， Zhejiang， Shandong， Guangdong and Guangxi were the main producing areas， and Zhejiang was the best. It is now believed that A. inflata is mostly distributed in the northern part of the Huanghai Sea， A. granosa is mostly distributed in the coastal areas south of Shandong Peninsula in China， and A. subcrenata is widely distributed in the coastal areas of China. Its quality is better in a complete， white， no residual meat and sand. In ancient times， there was no clear harvesting period， and the processing was mainly based on vinegar quenching after calcination or powdering of calcined shell， but now the harvesting period is autumn and winter. After harvesting， it is directly washed and crushed for raw use or processed by calcined method. The records of the medicinal materials in the past dynasties on the properties of Arcae Concha were mainly warm， sweet， salty and mild， and it is now believed that Arcae Concha is salty in taste and mild in nature. In ancient times， it was believed that Arcae Concha were mainly used for coldness in the heart and abdomen， coldness in the waist and spine， benefiting the five internal organs， strengthening the stomach. Nowadays， it is believed that Arcae Concha can eliminate phlegm and remove blood stasis， soften the hardness and dissipate the lumps， produce acid and relieve pain. It can be used in the treatment of stubborn phlegm， gall tumor， scrofula and other symptoms. In conclusion， it is suggested that for the famous classical formulas containing Arcae Concha， the corresponding methods should be selected according to the processing requirements of the drug in the formulas， while those without processing requirements can be determined according to the functional position of the products.

[Purpose]To investigate the potential causal relationships between serum levels of trace elements and head and neck cancers.[Methods]Single nucleotide polymorphism(SNP)of oral cancer,oropharyngeal cancer,laryngeal cancer and thyroid cancer,associated with calcium,copper,iron,magnesium,zinc,were obtained from genome-wide association studies(GWAS).A two-sample bidirectional Mendelian randomization(MR)analysis was performed using the inverse variance weighting(IVW)method by calculating odds ratio(OR)and 95％confidence interval(CI).Pleiotropy was assessed using MR-PRESSO and MR-Egger regression,and sensitivity analysis was conducted via the"leave-one-out"method.[Results]IVW analysis revealed a causal association between serum magnesium levels and the incidence of oral cancer(OR=0.976,95％CI:0.956～0.997,P=0.025),also between thyroid cancer and serum calcium levels(OR=1.008,95％CI:1.001～1.015,P=0.023).No significant causal associations were observed between other trace ele-ments and head and neck cancers(all P＞0.05).[Conclusion]This MR study suggests that serum magnesium levels serve as a protective factor against oral cancer,while thyroid cancer leads to el-evated serum calcium levels.

Objective:To assess the predictive value of the percentage of Gleason pattern 4 (G4%) in prostate biopsy for adverse pathology and biochemical recurrence.Methods:We retrospectively analyzed consecutive patients who underwent radical prostatectomy in our institution between January 2019 and December 2023, and included those who were diagnosed with ISUP 2-3 cancer at biopsy. A total of 109 patients were included in this study. The average age of patients was (67.40±6.11) years, and the average BMI of patients was (25.36±2.97) kg/m 2. 49 Cases (45.0%) had a PI-RADS score of 5, and the median prostate volume was 32.60 (24.57, 45.63) ml. The median of most recent tPSA before biopsy was 9.76 (6.89, 12.95) ng/ml, the median PSAD was 0.28 (0.17, 0.44) ng/ml 2, and the median f/tPSA was 0.11 (0.08, 0.16). Clinical T 2b or higher stage was found in 84 cases (77.1%). The total biopsy core length was (22.91±5.18) cm, with a median of 24 (20, 24) biopsy cores and a median of 6 (4, 9) positive cores. Gleason score 3+ 4 was found in 52 cases (47.7%), and Gleason score 4+ 3 in 57 cases (52.3%). Cribriform was present in 30 cases (27.5%). G4% was calculated based on the proportion of Gleason grade 4 tumor relative to total tumor, tumor proportion relative to total tissue, and tissue length. Patients were divided into high-G4% (≥2.45%) and low-G4% (<2.45%) groups based on the median G4% value, with 55 and 54 cases, respectively. No significant differences were observed in baseline characteristics between the two groups ( P>0.05). The main risk factor of adverse pathology was analyzed by logistic regression, and receiver operating characteristic (ROC) curve and area under curve (AUC) were performed. Patients were further stratified by the G4% cutoff value from ROC, and Kaplan-Meier survival curves were plotted to compare biochemical recurrence free survival (BCRFS) between groups. The main risk factor affecting BCRFS was analyzed by Cox regression. Adverse pathology was defined as postoperative Gleason score ≥4+ 3 or pathological stage ≥T 3a. Results:Adverse pathology occurred in 44 (80.0%) high-G4% and 16 (29.6%) low-G4% patients ( P<0.01). Multivariate analysis identified G4% as an independent risk factor for adverse pathology ( OR=1.23, 95% CI 1.02-1.50, P=0.033). The highest ROC AUC value was seen for G4% (0.799), significantly outperforming Gleason score (0.799 vs. 0.641, P=0.003), tPSA (0.799 vs. 0.615, P=0.003), PSAD (0.799 vs. 0.679, P=0.038), positive cores (0.799 vs. 0.677, P=0.009), clinical T stage (0.799 vs. 0.607, P=0.001) and cribriform (0.799 vs. 0.639, P=0.001). The G4% cutoff value for predicting biochemical recurrence was 10.97%. The median BCRFS was significantly higher in the low G4% (<10.97%) group than that in the high G4% (≥10.97%) group (55 vs. 28 months, P=0.002). Cumulative recurrence free survival rates at 1 and 3 years were 94.6% vs. 74.1% and 78.0% vs. 47.6%, respectively. Multivariate Cox regression analysis indicates that G4% was an independent risk factor affecting BCRFS ( HR=1.11, 95% CI 1.00-1.23, P=0.041). Conclusions:For patients with ISUP 2-3 nmPCa, a higher G4% in biopsy specimens demonstrates strong predictive ability for adverse pathology and biochemical recurrence, outperforming traditional clinical indicators such as Gleason score and PSA.

Artificial intelligence (AI) technology enhances the function of acupuncture clinical decision support system (CDSS) by promoting the accuracy of its diagnosis, assisting the formulation of personalized therapeutic regimen, and realizing the scientific and precise evaluation of its therapeutic effect. This paper deeply analyzes the unique advantages of AI-based acupuncture CDSS, including the intelligence and high efficiency. Besides, it points out the challenges of data security, the lack of model interpretation and the complexity of interdisciplinary cooperation in the development of acupuncture CDSS. With the continuous development and improvement of AI technology, acupuncture CDSS is expected to play a more important role in the fields of personalized medicine, telemedicine and disease prevention, and to further advance the efficiency and effect of acupuncture treatment, drive the modernization of acupuncture, and enhance its position and influence in the global healthcare system.
Humans ; Acupuncture Therapy ; Artificial Intelligence ; Decision Support Systems, Clinical

[Purpose]To investigate the potential causal relationships between serum levels of trace elements and head and neck cancers.[Methods]Single nucleotide polymorphism(SNP)of oral cancer,oropharyngeal cancer,laryngeal cancer and thyroid cancer,associated with calcium,copper,iron,magnesium,zinc,were obtained from genome-wide association studies(GWAS).A two-sample bidirectional Mendelian randomization(MR)analysis was performed using the inverse variance weighting(IVW)method by calculating odds ratio(OR)and 95％confidence interval(CI).Pleiotropy was assessed using MR-PRESSO and MR-Egger regression,and sensitivity analysis was conducted via the"leave-one-out"method.[Results]IVW analysis revealed a causal association between serum magnesium levels and the incidence of oral cancer(OR=0.976,95％CI:0.956～0.997,P=0.025),also between thyroid cancer and serum calcium levels(OR=1.008,95％CI:1.001～1.015,P=0.023).No significant causal associations were observed between other trace ele-ments and head and neck cancers(all P＞0.05).[Conclusion]This MR study suggests that serum magnesium levels serve as a protective factor against oral cancer,while thyroid cancer leads to el-evated serum calcium levels.

Objective:To assess the predictive value of the percentage of Gleason pattern 4 (G4%) in prostate biopsy for adverse pathology and biochemical recurrence.Methods:We retrospectively analyzed consecutive patients who underwent radical prostatectomy in our institution between January 2019 and December 2023, and included those who were diagnosed with ISUP 2-3 cancer at biopsy. A total of 109 patients were included in this study. The average age of patients was (67.40±6.11) years, and the average BMI of patients was (25.36±2.97) kg/m 2. 49 Cases (45.0%) had a PI-RADS score of 5, and the median prostate volume was 32.60 (24.57, 45.63) ml. The median of most recent tPSA before biopsy was 9.76 (6.89, 12.95) ng/ml, the median PSAD was 0.28 (0.17, 0.44) ng/ml 2, and the median f/tPSA was 0.11 (0.08, 0.16). Clinical T 2b or higher stage was found in 84 cases (77.1%). The total biopsy core length was (22.91±5.18) cm, with a median of 24 (20, 24) biopsy cores and a median of 6 (4, 9) positive cores. Gleason score 3+ 4 was found in 52 cases (47.7%), and Gleason score 4+ 3 in 57 cases (52.3%). Cribriform was present in 30 cases (27.5%). G4% was calculated based on the proportion of Gleason grade 4 tumor relative to total tumor, tumor proportion relative to total tissue, and tissue length. Patients were divided into high-G4% (≥2.45%) and low-G4% (<2.45%) groups based on the median G4% value, with 55 and 54 cases, respectively. No significant differences were observed in baseline characteristics between the two groups ( P>0.05). The main risk factor of adverse pathology was analyzed by logistic regression, and receiver operating characteristic (ROC) curve and area under curve (AUC) were performed. Patients were further stratified by the G4% cutoff value from ROC, and Kaplan-Meier survival curves were plotted to compare biochemical recurrence free survival (BCRFS) between groups. The main risk factor affecting BCRFS was analyzed by Cox regression. Adverse pathology was defined as postoperative Gleason score ≥4+ 3 or pathological stage ≥T 3a. Results:Adverse pathology occurred in 44 (80.0%) high-G4% and 16 (29.6%) low-G4% patients ( P<0.01). Multivariate analysis identified G4% as an independent risk factor for adverse pathology ( OR=1.23, 95% CI 1.02-1.50, P=0.033). The highest ROC AUC value was seen for G4% (0.799), significantly outperforming Gleason score (0.799 vs. 0.641, P=0.003), tPSA (0.799 vs. 0.615, P=0.003), PSAD (0.799 vs. 0.679, P=0.038), positive cores (0.799 vs. 0.677, P=0.009), clinical T stage (0.799 vs. 0.607, P=0.001) and cribriform (0.799 vs. 0.639, P=0.001). The G4% cutoff value for predicting biochemical recurrence was 10.97%. The median BCRFS was significantly higher in the low G4% (<10.97%) group than that in the high G4% (≥10.97%) group (55 vs. 28 months, P=0.002). Cumulative recurrence free survival rates at 1 and 3 years were 94.6% vs. 74.1% and 78.0% vs. 47.6%, respectively. Multivariate Cox regression analysis indicates that G4% was an independent risk factor affecting BCRFS ( HR=1.11, 95% CI 1.00-1.23, P=0.041). Conclusions:For patients with ISUP 2-3 nmPCa, a higher G4% in biopsy specimens demonstrates strong predictive ability for adverse pathology and biochemical recurrence, outperforming traditional clinical indicators such as Gleason score and PSA.

Through consulting the ancient herbal books and modern literature， this paper has carried out the textual research on the name， origin， place of origin， harvesting and processing， and other contents of Bruceae Fructus， combed its ancient and modern medicinal history， so as to provide reference for the development of famous classical formulas containing Bruceae Fructus. Through the herbal textual research， It can be verified that， since the Qing dynasty， Bruceae Fructus has been recorded in the materia medica， most of the materia medica in previous dynasties took Bruceae Fructus as its proper name， and Laoyadan， Kushenzi and Yadanzi as the aliases. The main origin of Bruceae Fructus is Brucea javanica， its medicinal part is the fruit， which is harvested from August to October every year， the fruit can be harvested when it is ripe. Bruceae Fructus was first distributed in Fujian， Guangdong and Guangxi， and gradually expanded to the south of China with the change of time. The traditional processing method of Bruceae Fructus is mainly to remove the shell and kernel， and remove the oil by frosting. The 2020 edition of Chinese Pharmacopoeia stipulates that its processing method is to remove the shell and impurities. Based on the research results， it is suggested that the dried mature fruit of B. javanica should be selected for the development of famous classical formulas containing this herb， and the raw products can be used if the original formula does not specify the processing requirements.

In this study, in order to overcome the shortcomings of the current methods used to identify Bifidobacterium animalis, such as long time, complicated operation and low adaptability of experimental environment, specific primer probes were designed based on ERIC-PCR technology to identify and detect B.animalis.Based on the genomic DNA of B.animalis HP-B1124, the ERIC-PCR reaction conditions of B.animalis HP-B1124 were optimized, and the ERIC-PCR fragments were obtained one by one and sequenced.Two pairs of specific primer probes were designed.The accuracy, specificity, limitation and universality of the two pairs of primer probes were evaluated, and the two pairs of specific primer probes were used for testing the products containing B.animalis in the commercially published formula.The two pairs of specific primer probes designed in this study could be used for identified strains of B.animalis more simply, quickly and targeted.This method has optimized the current relatively traditional methods of pure culture and plate counting identification of B.animalis, and has solved the high requirements of SNP genotyping technology and real-time fluorescence quantitative PCR method for experimental equipment and reagents in the identification of B.animalis to a certain extent.It has the characteristics of low cost, high specificity and earn a broad market development prospect.

Objective:To explore the detection capability of p16/Ki-67 double staining technique in women with various abnormal thinprep cytologic test (TCT) results and its diagnostic value for cervical intraepithelial neoplasia Ⅱ+ grade (CIN2+).Methods:A total of 225 women with abnormal TCT results, i.e. the atypical squamous cells of undetermined significance(ASC-US), in the Tianjin Central Hospital of Gynecology Obstetrics, Nankai University Affiliated Maternity Hospital from December 2018 to December 2019 were enrolled. p16/Ki-67 double staining were detected and compared with the high risk human papillomavirus (HR-HPV) and pathological results.Results:The positive rates of p16/Ki-67 double staining increased with cytologic and pathologic categories. For diagnosis of CIN2+, p16/Ki-67double staining (90.1%) was less sensitive than HR-HPV testing (98.2%)( P<0.05), but the specificity of p16/Ki-67 double staining (58.8%) was significantly higher than HR-HPV(21.6%) ( P<0.001). Conclusions:Compared with HR-HPV, p16/Ki-67 double staining has better effect on diagnosing CIN2+. p16/Ki-67 double staining can be considered as triaging method for management of ASC-US and LSIL patients, significantly reduce the colposcopy referral rate (nearly 50%), which has high clinical application value.

Objective:To explore the clinical value of a diagnostic system of ophthalmic B-scan ultrasound images based on deep convolutional neural network.Methods:A total of 3 600 ophthalmic B-scan ultrasound images of 1 278 patients with an average age of (49.32±7.69) years at the Eye Center of Renmin Hospital of Wuhan University from January 2018 to October 2020 were collected to build an image database.These B-scan images were labeled by three ophthalmologists.The database was divided into the training dataset of 2 812 images and the testing dataset of 788 images.The deep learning algorithm was used to build a diagnostic model, which can identify retinal detachment (RD), vitreous hemorrhage (VH) and posterior vitreous detachment (PVD), and the accuracy of the model was evaluated.Another 120 B-scan ultrasound images were collected for the human-computer comparison between the model and 3 senior ophthalmologists.Eight junior clinicians were selected to evaluate another 150 B-scan images with and without the assistance of the model, and the accuracy was analyzed to evaluate the effect of the model.This study adhered to the Declaration of Helsinki and the study protocol was approved by Renmin Hospital of Wuhan University (No.WDRY2020K-192).Results:The accuracy of the model for identifying normal fundus, RD, VH, PVD and other diseases were 0.954, 0.909, 0.881, 0.990 and 0.920, respectively.The accuracy of the model was similar to that of senior doctors, and the time the model used was almost half that of doctors.With the assistance of the model, the diagnostic accuracy of the 8 junior clinicians who participated in the training was significantly improved ( P<0.01). Conclusions:The accuracy of RD, VH and PVD identification of the intelligent evaluation system is good, and the system can improve the accuracy and efficiency of clinical examinations, and can better assist clinicians in clinical evaluation.