Objective To investigate the effects and regulatory mechanisms of carboxyamidotriazole orotate(CTO)on the metabolism and inflammatory mediators of glioma-associated microglia(GAM).Methods Tumor volume was regularly monitored by in vivo imaging,and histological examination was performed to detect the extent of tumor in-filtration;non-targeted metabolomics analysis was used to detect the level of tricarboxylic acid cycle metabolites in cells;seahorse cell energy measurement method was used to detect the oxygen consumption rate(OCR)and extra-cellular acidification rate(ECAR)of cells;immunofluorescence was used to detect the degree of hypoxia in cells;quantitative PCR was used to detect the mRNA level of pro-cancer mediators M1/M2 in cells;Western blot was used to detect the protein level of hypoxia-inducible factor-1α(HIF-1α)and programmed death receptor-ligand 1(PD-L1).Results CTO inhibited the tumor progression in mice,and down-regulated the oxidative phosphorylation level and improved cell hypoxia in vitro(P＜0.01).It also downregulated the expression of pro-oncogenic mediators iNos,Arg-1,Il-10,and Irf4 in GAM(P＜0.01).When combined with lactate dehydrogenase inhibitor stiripentol(STP),CTO-induced enhancement of glycolysis and upregulation of PD-L1 expression in GAM was attenuated(P＜0.01),and the expressions of Arg-1 and Il-10 was further downregulated(P＜0.000 1).Conclusions CTO down-regulates the expression of several oncogenic genes in GAM and inhibits tumor progression in mice.Combined use of lactate dehydrogenase inhibitors can weaken the adverse effect of CTO and reduce the transcriptional level of GAM oncogenic mediators.

Objective: To construct a deep learning model based on convolutional neural network(CNN)-long short term memory network(LSTM)-Attention to explore the correlation between meteorological and clinical factors and the incidence of ischemic stroke. Methods: A fusion model CNN-LSTM-Attention based on CNN, LSTM, and Attention was constructed by incorporating clinical data and meteorological data of ischemic stroke inpatients. The predictive performance of the model was evaluated by maximum prediction error and root mean square error(RMSE). The impact of different lag days on prediction performance was investigated by selecting lag periods ranging from 1 to 7 days. Results: In both short-term and long-term predictions, the CNN-LSTM-Attention fusion model(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5) showed superior maximum prediction bias and RMSE compared to the LSTM model(short-term: 2.8 and 1.2; long-term: 19.5 and 5.5) and the CNN-LSTM model(short-term: 2.0 and 0.8; long-term: 11.2 and 3.3). After incorporating lag days, the maximum prediction deviation and RMSE for lags of 3 days(short-term: 0.7 and 0.4; long-term: 5.5 and 1.9) and 5 days(short-term: 0.8 and 0.3; long-term: 6.5 and 2.0) in both short-term and long-term forecasts were smaller than lags of 0 days(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5). The maximum prediction deviation and RMSE in the short-term forecast were greater than lag 0 days for both lag 1 days(1.5 and 0.8) and lag 7 days(1.9 and 0.9). In the long-term forecast, the two indicators for lag 1 days(6.8 and 2.4) were lower than those for lag 0 days but higher than those for lag 3 days and 5 days. The maximum prediction deviation for lag 7 days(7.5) was lower than that for lag 0 days, but the RMSE(2.7) is higher than that for lag 0 days. Conclusion The established CNN-LSTM-Attention model demonstrates significant predictive value for the onset of ischemic stroke and can provide reference for the rational allocation of medical resources.

Objective:To investigate the situation of computed tomography(CT)equipment and socio economic development of various grades and classifications of medical institutions in Jiangsu Province,and to analyze the interrelationship between them.Methods:From October 20,2023 to November 20,2023,a questionnaire survey was conducted on imported and domestic CT equipment of various grades and classifications of medical institutions in 13 prefecture-level cities in Jiangsu Province through online questionnaire survey of"questionnaire star".The gross domestic product(GDP)of each prefecture-level city in Jiangsu province was used as an indicator of measuring the level of socio-economic development in the region.The CT number,the row number of detector,quality of image,the total examination case number of daily average and the daily average case number of single machine examination of medical institutions of various grades and classifications of 13 prefecture-level cities were used to conduct correlation analysis with GDP values of various districts.Results:A total of 910 questionnaires were distributed,and 512 questionnaires were retrieved.There were 482 valid questionnaires in the 512 questionnaires,and the valid rate was 94.15,which involved to 482 various grade and classification institutions of 13 prefecture-level cities in Jiangsu province.The number of imported and domestic CT equipment in the 13 prefecture-level cities of Jiangsu Province positively correlated with the GDP of each city(r=0.882,0.880,P<0.001).The number of imported CT equipment with 64 rows and more than 64 rows,and with less than 64 rows,and the number of domestic CT equipment with 64 rows and more than 64 rows,and with less than 64 rows all positively correlated with the GDP of each city(r=0.880,0.881,0.736,0.897,P<0.05).The total number of daily average of examinations for imported and domestic CT equipment of 13 prefecture-level cities positively correlated with the GDP of each city(r=0.774,0.814,P<0.05).There were no significant difference in the image quality and the daily average case number of single machine examination between the domestic CT equipment and the imported CT equipment(P>0.05).Conclusion:The medical institutions of city with high level of economic development have more quantitative and more high-end CT equipment,and the quality of image of domestic CT equipment is equal to that of imported CT equipment regardless of the high and low level of economic development.

Objective To evaluate the clinical efficacy of Zhuanggu Kangsong Soft Extract combined with percutaneous vertebroplasty(PVP)in the treatment of osteoporotic vertebral compression fractures(OVCF).Methods A total of 90 eligible OVCF patients admitted to Guangzhou Integrated Chinese and Western Medicine Hospital between January 2023 and May 2024 were enrolled and randomly divided into an observation group(n=45)and a control group(n=45)using a random number table.Both groups underwent PVP.After treatment,the control group received conventional western medication orally(calcium carbonate D3 tablets+calcitriol soft capsules),while the observation group received additional Zhuanggu Kangsong Soft Extract treatment orally.Western medication was administered for 6 months,and herbal treatment lasted 3 months.Changes in Visual Analogue Scale(VAS)scores for pain,Oswestry Disability Index(ODI)scores for low back function,bone mineral density(BMD)T-values,and serum bone metabolism markers were observed before and after treatment.Results(1)At postoperative day 3,3 months,and 6 months,both groups showed significant improvements in VAS and ODI scores compared to those before treatment(P＜0.05).The observation group demonstrated superior improvements in VAS and ODI scores at 3 and 6 months compared to the control group(P＜0.05).(2)At 3,6,and 12 months postoperatively,BMD T-values were improved in both groups(P＜0.05),with the observation group exhibiting greater improvements at 6 and 12 months(P＜0.05).(3)Serum N-terminal osteocalcin and 25-hydroxyvitamin D3[25(OH)D3]levels increased in both groups at 1,3,and 6 months(P＜0.05).The observation group showed more pronounced elevations in these markers at 3 and 6 months(P＜0.05).Conclusion The combination of Zhuanggu Kangsong Soft Extract and PVP demonstrates significant therapeutic benefits for OVCF by effectively alleviating pain,enhancing BMD,and improving activities of daily living,which highlights its high clinical value.

OBJECTIVE To explore the pharmacokinetic characteristics of 3 blood-absorbed components of Xiangshao sanjie oral liquid in rats with hyperplasia of mammary gland （HMG）. METHODS Female SD rats were divided into control group and HMG group according to body weight， with 6 rats in each group. The HMG group was given estrogen+progesterone to construct HMG model. After modeling， two groups were given 1.485 g/kg of Xiangshao sanjie oral liquid （calculated by crude drug） intragastrically， once a day， for 7 consecutive days. Blood samples were collected before the first administration （0 h）， and at 5， 15， 30 minutes and 1， 2， 4， 8， 12， 24 hours after the last administration， respectively. Using chlorzoxazone as the internal standard， the plasma concentrations of ferulic acid， paeoniflorin and rosmarinic acid in rats were detected by UPLC-Q/TOF-MS. The pharmacokinetic parameters [area under the drug time curve （AUC0－24 h， AUC0－∞）， mean residence time （MRT0－∞）， half-life （t1/2）， peak time （tmax）， peak concentration （cmax）] were calculated by the non-atrioventricular model using Phoenix WinNonlin 8.1 software. RESULTS Compared with the control group， the AUC0－24 h， AUC0－∞ and cmax of ferulic acid in the HMG group were significantly increased （P＜0.05）； the AUC0－24 h， AUC0－∞ ， MRT0－∞ ， t1/2 and cmax of paeoniflorin increased， but there was no significant difference between 2 groups （P＞0.05）； the AUC0－24 h and MRT0-∞ of rosmarinic acid were significantly increased or prolonged （P＜0.05）. C ONCLUSIONS In HMG model rats， the exposure of ferulic acid， paeoniflorin and rosmarinic acid in Xiangshao sanjie oral liquid all increase， and the retention time of rosmarinic acid is significantly prolonged.

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

Objective:To construct a sizeable naive human Fab phage display antibody library to screen high-affinity specific antibodies in vitro. Methods:Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of 126 healthy individuals, subsequently reverse-transcribed into cDNA, and used as a template. PCR amplification was performed to obtain the V H from IgG, IgM and light chain κ, λ, separately, with the initial PCR products serving as templates for a second round of PCR. Overlap extension PCR was employed to generate fragments of the κ and λ light chains. These fragments were ligated with the phage vector pNC3, which harbors the variable region 1 of the heavy chain, to construct a recombinant phage plasmid. This plasmid was then electroporated into competent Escherichia Coli TG1 cells to establish a naive human Fab phage display antibody library. One hundred clones were randomly selected for identification and sequencing, and antibody gene polymorphisms were analyzed using the IMGT database and MAFFT software. Recombinant α-hemolysin from Staphylococcus aureus was utilized to screen Fab antibody fragments through biopanning of the antibody library, followed by random selection of phage ELISA-identified clones. The positive clones (antigen A450∶blank control A450≥2.1) were sequenced. Results:Two large naive Fab phage display antibody libraries were successfully constructed, in which the capacity of κ and λ chain antibody libraries were 1.25×10 11 and 1.54×10 11, respectively. The titers for two antibody libraries were 6.04×10 13 CFU/ml and 3.50×10 13 CFU/ml. The positive transformation insertion rates for κ and λ chain antibody libraries were 96% (96/100) and 100% (100/100), respectively. Sequence analysis revealed that all antibody sequences were unique. The amino acid sequences in the skeletal region were relatively conserved. In contrast, significant variations in the length of the complementarity determining region (CDR) were found, and the diversity of amino acid sequence of the complementary determining region was high, especially the CDR3. Analysis using the IMGT database indicated that the sequences exhibited a broad distribution across variable-diversity-joining gene families. After six rounds of panning, specific phage antibodies enrichment targeting α-hemolysin were achieved. A total of 142 monoclonal antibodies were sequenced, yielding 8 distinct Fab antibody sequences. Conclusion:This study successfully constructed two naive human Fab phage display antibody libraries with large capacity and good diversity, which can be used for screening human antibodies for serum epidemiology.

Objective:To investigate the diagnostic value of metagenomic next-generation sequencing (mNGS) for pyogenic spinal infections.Methods:A total of 255 patients diagnosed with pyogenic spinal infections were enrolled between September 2022 and September 2024 at Qingdao University Affiliated Hospital, Fuzhou Second General Hospital, First Affiliated Hospital of Nanchang University, Shandong University Affiliated Public Health Clinical Center, and the Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. Among them, 155 were male and 100 were female, with an average age of 62.5±14.2 years (ranging from 13 to 90 years). All patients had samples of infected tissue and/or pus collected for microbial culture and mNGS testing. The number, types, and positive rates of pathogens detected by microbial culture and mNGS were compared. Using culture results as the gold standard, receiver operating characteristic (ROC) curve analysis was performed for mNGS testing and the combined method of mNGS and microbial culture, calculating the area under the curve (AUC) and 95% CI. Results:All 255 cases were clinically diagnosed as pyogenic spinal infections, with 194 cases providing microbiological evidence. The most common Gram-positive bacterium was Staphylococcus aureus, while the most common Gram-negative bacterium was Escherichia coli. A total of 33 pathogenic microorganisms were detected by mNGS, while microbial culture detected 18 pathogenic microorganisms. The positive rate of mNGS was 72.2% (184 out of 255), which was significantly higher than that of 30.2% (77 out of 255) for microbial culture, showing a significant difference (χ 2=90.150, P<0.001); the positive rate of mNGS combined with microbial culture was 76.1% (194 out of 255) with significant difference compared to mNGS alone (χ 2=8.100, P<0.001). Among 178 culture-negative samples, the detection rate of mNGS was 65.7% (117 out of 178); among 77 culture-positive samples, the detection rate of mNGS was 87.0% (67 out of 77), and 97.0% (65 out of 67) of the detected pathogens matched the culture results at the species level. The AUCs of the ROC curves for mNGS testing and the combination of mNGS with microbial culture were 0.606 [95% CI (0.534, 0.678)] and 0.671 [95% CI (0.606, 0.736)], respectively, with significant differences compared to microbial culture ( P=0.007; P=0.007). Conclusions:mNGS demonstrates superior performance over conventional culture in identifying pathogens in pyogenic spinal infections. Moreover, combining mNGS with culture further improves diagnostic yield, supporting its integration into clinical practice.

Objective:To explore the natural course of ulcerative proctitis (UP) and the risk factors associated with disease extent progression.Methods:A retrospective cohort study was conducted, including UP patients who had undergoing prospective regisration in the Department of Gastroenterology, Xijing Hospital of Digestive Diseases, Air Force Medical University between January 2000 and May 2023. All patients were ≥ 18 years old at the time of diagnosis and followed up for more than one year. The disease extent in patients at diagnosis and during follow-up was assessed according to the Montreal classification. The clinical data were compared between the progression group and the non-progression group. The cumulative proportions of disease extent progression were analyzed with the Kaplan-Meier method, and the risk factors associated with disease extent progression were analyzed with the Cox proportional hazards regression model.Results:A total of 184 UP patients were included, with a median follow-up time of 4.8 (2.8, 8.5) years. Among them, 96 were male (52.2%) and 88 were female (47.8%), with a median age at diagnosis of 39.1 (28.8, 49.7) years. At the time of diagnosis, 95 (51.6%) patients had moderate endoscopic manifestations and 64 (34.8%) had severe endoscopic manifestations, while only 25 (13.6%) patients had mild lesions. 116 patients (63.0%) experienced disease extent progression in a median time of 4.2 (1.8, 9.0) years. The cumulative proportions of disease extent progression in 1, 3, 5, and 10 years were 13.0%, 39.0%、56.7% and 78.3%, respectively. Cox regression analysis identified the use of 5-aminosalicylic acid as a protective factor against disease extent progression ( HR = 0.55, 95% CI: 0.31 ~ 0.96, P = 0.035). During follow-up, only one patient (0.5%) underwent surgery. Five patients (2.7%) were diagnosed with dysplasia, and all of these patients had experienced disease extent progression before the development of dysplasia. Conclusions:Patients with UP had a high proportion of moderate-to-severe active endoscopic findings at diagnosis, and nearly two-thirds of patients experienced disease progression during follow-up, but the rates of colectomy and neoplasia were relatively low. 5-ASA was a protective factor against disease extent progression.

Objective:To explore the impacts of different frequencies of orthogonal image-guided verification on set-up error correction and the reference values of planning target volume (PTV) margins in postoperative radiotherapy for breast cancer, in order to provide recommendations of the verification frequency in clinical practice.Methods:A total of 80 breast cancer patients who received postoperative intensity-modulated radiotherapy for breast cancer at the Affiliated Union Hospital of Fujian Medical University from January 2021 to January 2022 were enrolled. Orthogonal image-guided verification was conducted before each radiation treatment to determine initial and residual set-up errors. The error data were statistically analyzed by categorizing patients into groups A, B, C, D, E, and F, based on assumed verification frequencies (daily, every 2, 3, 4, and 5 d, and no correction). The magnitude, distribution, and differences of set-up errors of various groups were analyzed, and the PTV margins were calculated using a reference formula.Results:The collected initial set-up errors of the 80 patients were (3.49±3.43), (2.87±2.88), and (2.75±2.35) mm, in x, y, and z directions, respectively. The residual set-up errors decreased gradually with increasing verification frequency. In the case of daily image-guided verification, the residual set-up errors in x, y, and z directions decreased to (1.63±0.90), (1.63±0.93), and (1.55±0.90)mm, respectively. The reference values of PTV margins calculated under different verification frequencies decreased with an increase in the verification frequency. Under daily verification, the reference values of PTV margins calculated based on set-up errors decreased from initial 6.60, 6.29, and 4.22 mm (without correction) to 1.27, 1.37, and 1.28 mm, respectively. Differences in the reference values under verification frequencies every 3, 4, and 5 d were less than 0.81 mm. Conclusions:Daily image-guided verification (including correction) can effectively reduce set-up errors in image-guided radiotherapy for breast cancer. The set-up errors differ under varying verification frequencies, with a higher frequency corresponding to better correction effects and smaller PTV margins required.