ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

Objective To propose a lightweight end-to-end neural network model for automated Korotkoff sound phase recognition and subsequent blood pressure (BP) measurement, aiming to improve measurement accuracy and population adaptability. Methods We developed a streamlined architecture integrating depthwise separable convolution (DSConv), multi-head attention (MHA), and bidirectional gated recurrent unit (BiGRU). The model directly processes Korotkoff sound time-series signals to identify auscultatory phases. Systolic BP (SBP) and diastolic BP (DBP) were determined using phase Ⅰ and phaseⅤdetections, respectively. Given the clinical relevance of phase Ⅳ for specific populations (e.g., children and pregnant women, denoted as DBPⅣ), BP values from this phase were also recorded.Results The study enrolled 106 volunteers with 70 males and 36 females at mean age of (40.0±12.0) years. The model achieved 94.25% phase recognition accuracy. Measurement errors were (0.1±2.5) mm Hg (SBP), (0.9±3.4) mm Hg (DBPⅣ), and (0.8±2.6) mm Hg (DBP). Conclusion Our method enables precise phase recognition and BP measurement, demonstrating potential for developing population-adaptive blood pressure monitoring systems.

ObjectiveTo explore the central neuroregulation mechanism of heat-sensitive moxibustion for knee osteoarthritis on pain relief. MethodsThirty patients who did not have experience of Deqi （得气） during heat-sensitive moxibustion treatment were assigned to the "non-Deqi group"， while another 30 patients who had experience of Deqi were assigned to the "Deqi group". Both groups received moxibustion at the left Heding （EX-LE2） acupoint. In the Deqi group， after the patients experienced sensation of Deqi at the acupoint， moxibustion was applied at approximately 3 cm from the skin for 10 minutes； in the non-Deqi group， moxibustion was also applied at approximately 3 cm from the skin for 10 minutes. Both groups received treatment once daily for 10 consecutive days. Knee joint pain was assessed before and after treatment using the visual analog scale （VAS）. Resting-state functional magnetic resonance imaging （rs-fMRI） scans were performed on all participants before the first treatment session and after the final session on the 10th day. The fractional amplitude of low-frequency fluctuations （fALFF） maps before and after treatment were processed using the SPM12 module by MATLAB. ResultsAfter treatment， VAS scores in both groups were significantly lower than before treatment （P＜0.05 or P＜0.01）， with the Deqi group showing significantly lower VAS scores than the non-Deqi group （P＜0.01）. Compared to before treatment， the Deqi group exhibited significant activation in the prefrontal cortex （t = 6.28）， white matter （t = 6.36）， and left temporal lobe （t = 9.33）， while significant inhibition was observed in the occipital lobe （t = -9.86） and right cerebrum （t = -4.54， P＜0.01）； in the non-Deqi group， significant changes after treatment were observed in the left occipital lobe （t = -6.42）， left medial frontal gyrus （t = -4.35）， left middle frontal gyrus （t = -4.74）， right superior frontal gyrus （t = -4.82）， right superior temporal gyrus （t = -6.61）， and right cerebellar posterior lobe （t = -8.64）， all of which were in inhibited states （P＜0.01）. Compared to the non-Deqi group， the Deqi group exhibited significant activation after treatment in the external nucleus （t = 5.77）， white matter （t = 3.58）， right cerebrum （t = 5.84）， left cerebellum （t = 5.35）， and left cerebrum （t = 4.32）， while significant inhibition was observed in the prefrontal cortex （t = -4.16）， occipital lobe （t = -4.87）， and precentral gyrus （t = -4.46， P＜0.01）. ConclusionsHeat-sensitive moxibustion provides better analgesic effects for knee osteoarthritis under state of Deqi. Its central neuroregulation mechanism may be related to the involvement of the frontal lobe， temporal lobe， occipital lobe， external nucleus， white matter， right cerebrum， left cerebellum， left cerebrum， and precentral gyrus in modulating pain signals.

BACKGROUND:Pelvic fractures encompass a range of types,and the utilization of a pelvic reduction frame for restoration often lacks a systematic repositioning method.Instead,it relies on the operator's experience in conjunction with fluoroscopic findings,which can lead to uncertainty and non-reproducibility. OBJECTIVE:To investigate the clinical efficacy of combining computer-simulated repositioning techniques with a pelvic reduction frame for the treatment of anteroposterior compression-III pelvic fractures. METHODS:A retrospective analysis was conducted on 19 patients with anteroposterior compression-III pelvic fractures who underwent preoperative repositioning via computer simulation and intraoperative repositioning with the assistance of a pelvic reduction frame between January 2018 and December 2021.Among them,7 cases were fixed with double plate in anterior ring and 12 cases were fixed with single plate combined with anterior subcutaneous internal fixation(INFIX).All patients received posterior ring fixation with two sacroiliac screws.Operative duration,intraoperative reduction time,the frequency of intraoperative fluoroscopy use,blood loss,and follow-up duration were documented.These data were utilized to monitor fracture healing time and postoperative complications.Fracture reduction quality was evaluated according to the Matta scale,and the Majeed Pelvic Function Score was employed to assess patient function during the final follow-up. RESULTS AND CONCLUSION:(1)Surgery was successfully completed in all 19 patients.The anterior ring was secured with double plates in 7 cases,while a single plate combined with INFIX was utilized in 12 cases.The posterior ring was stabilized with two sacroiliac screws,specifically targeting the S1 and S2 cones.(2)The operation duration ranged from 74 to 147 minutes,with a mean of(101.63±19.55)minutes.Intraoperative repositioning took place over a period of 26 to 41 minutes,with a mean of(38.11±3.31)minutes.The number of intraoperative fluoroscopies conducted ranged from 35 to 81,with a mean of(62.68±13.11)times.Intraoperative bleeding volumes varied from 60 to 130 mL,with a mean of(85.37±20.57)mL.(3)All the patients were diligently monitored for a duration of 12 to 26 months.Fracture healing was observed within a time frame of 12 to 20 weeks,with a mean of(16.37±2.50)weeks.(4)The evaluation according to Matta's criteria one day post-surgery revealed excellent outcomes in 14 cases and good outcomes in 5 cases.At the final follow-up,the Majeed function score indicated excellent results in 16 cases and good results in 3 cases.(5)Two patients experienced localized fat liquefaction phenomena,characterized by redness,swelling,and oozing at the incision site,which gradually resolved with proactive dressing changes.None of the patients encountered complications such as internal fixation loosening,loss of fracture reduction,or nerve injuries post-surgery.It is concluded that the combined approach of using computer-simulated repositioning techniques in conjunction with pelvic reduction frames for the treatment of anteroposterior compression-III pelvic fractures has advantages in enhancing repositioning efficiency and improving pelvic function.

Liver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.
Liver Neoplasms/drug therapy* ; Animals ; Humans ; Xenograft Model Antitumor Assays/methods* ; Mice ; Disease Models, Animal

Objective:To establish a tumor tissue xenograft (PDX) model derived from liver cancer patients and explore the factors affecting tumorigenicity of liver cancer in the PDX model.Methods:The hepatocellular carcinoma tissues were inoculated subcutaneously in the axilla of NPG mice using the tissue block method to establish a PDX model. The demographic characteristics and related clinical examination data of 60 hepatocellular carcinoma patients were collected using the electronic medical record system and comprehensive medical information system of Beijing You'an Hospital, affiliated to Capital Medical University. The hepatocellular carcinoma samples of 24 cases were sequenced using the Oak Wing TM-808 gene detection reagent and high-throughput sequencing technology. SPSS 17.0 statistical software was used for statistical analysis, and the count data were analyzed using the χ2 test. Results:The tumorigenicity rate of PDX samples from 60 patients with liver cancer was 35% (21/60). The average tumorigenic duration in the PDX-P0 generation was 110.71±50.45 days. There were statistically significant differences ( P<0.05) corresponding to Edmondson grade ( χ2=5.910, P=0.015) and Ki67 expression ( χ2=4.615, P=0.032) among PDX with tumorigenicity and without tumorigenicity between the liver cancer samples. There was no statistically significant difference in gene mutation (TOP25) among PDX with tumorigenicity and without tumorigenicity between liver cancer samples. Conclusion:The factors affecting the tumorigenicity of liver cancer in PDX models are complex. The high pathological grade and strong Ki67 expression may be the key factors for the completion of liver cancer in PDX models.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To observe any ability of pulsed electromagnetic field (PEMF) stimulation to regulate inflammation in degenerate nucleus pulposus cells.Methods:Primary nucleus pulposus cells from rats were cultured and divided into a control group, a model group, an A2AR-small interfering RNA group (A2AR-siRNA group), and a PEMF group. The control and model group cells were stimulated with tumor necrosis factor-α (TNF-α) in phosphate-buffered saline solution, those in the A2AR-siRNA and the PEMF groups were transfected with A2AR siRNA and given TNF-α stimulation. The PEMF group cells had four hours daily of PEMF irradiation beginning within 24 hours after the TNF-α stimulation for 2 days. After 48 hours, cell proliferation was detected by CCK8 assay, while the positive expression of A2AR in the nucleus pulposus cells was measured using immunofluorescence staining. The expression of A2AR, cyclic adenosine monophosphate (cAMP), protein kinase A (PKA), cAMP response element binding protein (CREB), nuclear factor-κB (NF-κB), nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3), and interleukin-6 (IL-6) in the cells was observed using western blotting and real-time fluorescence quantitative polymerase chain reactions.Results:The rate of cell proliferation among the model group was approximately 60%, significantly lower than that of the control group (100%), but significantly higher than that of the A2AR-siRNA group (approximately 34%). The cell proliferation rate of the PEMF group was approximately 80%, significantly higher than that of the model and A2AR-siRNA groups. Compared with the control group, the positive expression of A2AR in the nucleus pulposus cells, A2AR protein and mRNA in the model group increased significantly in response to stress. The expression of A2AR protein and mRNA in the A2AR-siRNA group and the PEMF group was significantly lower than in the model group. Compared with the control group, the cAMP level in the nucleus pulposus cells of the model group had decreased significantly. The cAMP content in the A2AR-siRNA group further decreased compared with the model group, and that in the PEMF group increased compared with the model and the A2AR-siRNA groups. The average expression of PKA and CREB in the model group was significantly higher than among the control group, while that of PKA and CREB in the A2AR-siRNA group was significantly lower. The PKA and CREB protein levels in the PEMF group were slightly higher than in the A2AR-siRNA group, but the difference was not statistically significant. The expression of NF-κB, NLRP3, and IL-6 protein and mRNA in the cells of the model group was significantly higher than in the control group, but those of the A2AR-siRNA group were significantly higher than in the model group. The levels in the PEMF group were significantly lower than among the model and A2AR-siRNA groups, on average.Conclusions:Down-regulation of A2AR content further aggravates the inflammatory injury of degenerated nucleus pulposus cells. The mechanism may be related to the down-regulation of CREB activity, activation of the NF-κB signaling pathway, and subsequent up-regulation of inflammatory factors NLRP3 and IL-6. PEMF stimulation cannot significantly increase the A2AR level in degenerated nucleus pulposus cells, but it can promote the expression of cAMP and inhibit the downstream NF-κB signaling pathway, thereby exerting an anti-inflammatory effect.