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.

AIM: To explore the effect of adiponectin(ADPN)on angiogenesis of human retinal microvascular endothelial cells(hRMECs)in high glucose(HG)environment and role of NOD-like receptor family pyrin domain containing 3(NLRP3)inflammasome.METHODS: The hRMECs were divided into six groups, including control group(without treatment), HG group: incubated with D-glucose, ADPN group: pretreatment with ADPN and then incubated with D-glucose, CY-09 group: pretreatment with CY-09(an NLRP3 inhibitor)and then incubated with D-glucose, Nigericin group: pretreatment with nigericin(an NLRP3 activator)and then incubated with D-glucose, Nigericin+ADPN group: pretreatment with nigericin and ADPN and then incubated with D-glucose. NLRP3 level was detected using Western blot analysis. hRMECs migration was measured using scratch wound healing assay. The tube formation of hRMECs was detected using Matrigel.RESULTS: The NLRP3 expression in hRMECs cultured in an HG environment was significantly increased(P<0.01), while ADPN and CY-09 reduced the elevated NLRP3(both P<0.05 vs HG group). Nigericin significantly increased NLRP3 levels(P<0.01 vs control group)which was reversed by ADPN(P=0.032 vs Nigericin group). hRMECs migration ability(P<0.001), and total master segments length and number of meshes increased in HG group(P<0.001)while decreased in ADPN and CY-09 groups(all P<0.01 vs HG group). The hRMECs migration ability and tube formation(total master segments length and number of meshes)in HG environment were significantly increased by nigericin(P=0.003), while ADPN inversed the change. CONCLUSION: ADPN alleviates the migration and angiogenesis of hRMECs under HG conditions.

This study investigated the specific immune response of BALB/c mice that was induced by a circular RNA (circRNA) vaccine expressing the herpes simplex virus type II (HSV-2) glycoprotein D (gD). The aim was to evaluate the immunological potential of this vaccine and lay a foundation for developing an mRNA vaccine against HSV-2. PCR and homologous recombination were employed to integrate the gD gene obtained from the pT7AMP-gD ectodomain plasmid into pUC57 to generate the recombinant plasmid pUC57-circ-gD, which was then sequenced and characterized. In vitro transcription and cyclization were performed on the template DNA to generate pUC57-circ-gD mRNA. To validate the formation of circular RNA, we cleaved the pUC57-circ-gD mRNA with RNase R and employed RT-PCR to validate the cyclization. The pUC57-circ-gD mRNA was then transfected into 293T cells. After 72 h, the cell supernatant was collected, and Western blotting was employed to measure the protein level of gD. Subsequently, the mRNA was encapsulated in lipid nanoparticles (LNPs) by microfluidic encapsulation. BALB/c mice were administrated with the encapsulated mRNA, and blood was collected from the fundus venous plexus after 21 and 35 days, and from the enucleated eyeballs after 49 days. Enzyme-linked immunosorbent assay was employed to measure the titers of antibodies, including virus-neutralizing antibodies. After 49 days, spleens were harvested and assessed for secretion of interferon-gamma (IFN-γ) by solid-phase enzyme-linked immunospot. The results showed successful construction and sequencing of the recombinant plasmid. RNase R digestion confirmed the presence of circular RNAs. Western blotting of the 293T cells transfected with the mRNA showed clear specific bands. The quality of the vaccine was tested by size exclusion chromatography-high performance liquid chromatography, which showed that the purity of the vaccine was about 90%. The mRNA-LNP showcased the particle size of 82.76 nm and an encapsulation rate of approximately 98%. Following three-dose vaccination, all immunized mice exhibited steady weight gain with 100% survival rate throughout the 28-day observation period, indicating no significant acute toxicity associated with the vaccine formulation. The immunized mice showed dose-dependent increases in serum IgG antibody titer and IFN-γ secretion by splenocytes and they were resistant to virus attacks. These findings indicate good immunogenicity and persistence of the pUC57-circ-gD mRNA vaccine, providing a reference for further studies on circRNA vaccines.
Animals ; Mice, Inbred BALB C ; RNA, Circular ; Mice ; Humans ; Herpesvirus 2, Human/genetics* ; Viral Envelope Proteins/genetics* ; Antibodies, Viral/blood* ; HEK293 Cells ; Female ; Nanoparticles ; Plasmids

ObjectiveTo understand the epidemic characteristics of influenza in Beijing from 2023 to 2024, and to provide a scientific basis for the prevention and control of influenza. MethodsData on influenza-like illness (ILI) from secondary level and above hospitals, etiology surveillance data, and influenza clusters outbreaks data from 2023‒2024 were used to analyze the epidemic trend and pathogenic characteristics of influenza. Furthermore, an influenza comprehensive index was used to categorize the epidemic intensity at the severity level. ResultsA total of 2 065 857 ILI cases were reported in 2023‒2024 epidemic season, and the percentage of ILI was 3.67%. The age group of 5‒14 years accounted for the highest proportion of ILI (30.48%). A total of 41 766 throat swabs from ILI were detected, with a positive rate of 17.28%.A (H3N2) (51.86%) and B Victoria (41.93%) were the most prevalent subtypes of influenza virus. Clustered influenza outbreaks occurred mainly in primary schools (57.78%) and middle schools (35.55%), mainly caused by the influenza A (H3N2) subtype (85.93%). According to the influenza comprehensive index (I), the period of influenza activity and above (I>0.5) lasted for a total of 37 weeks, accounting for 71.15% of the entire influenza season. ConclusionCompared with previous years, the epidemic level of influenza in Beijing was increased in 2023‒2024, and the peak time became earlier. The comprehensive index method can objectively evaluate the level of influenza epidemic and provide suggestions for the future prevention and control of influenza in Beijing.

Objective To investigate the effectiveness of continuous improvement projects based on FOCUS-PDCA on the pathogen sample submission rate before antimicrobial therapy for inpatients.Methods FOCUS-PDCA was used to improve the pathogen sample submission rate in Affiliated Hospital of Nantong University from Jun.to Jul.2023.The inpatients from Jan.to May 2023(before improvement)were enrolled as control group,and the inpatients from Aug.to Dec.2023(after improvement)were enrolled as improvement group.The utilization rate of antibiotics,the submission rate of pathogen samples,the submission rate of clinical microbial samples and the detection rate of multidrug-resistant organisms were compared between the 2 groups.Results The utilization rate of therapeutic antimicrobial agents(32.18％vs 32.93％,P=0.003)and antimicrobial consumption intensity(39.99 defined daily dose[DDD]/100 patient-days vs 44.19 DDD/100 patient-days)in the improvement group were significantly lower than those in the control group.The pathogen sample submission rates before antimicrobial therapy and key antimicrobial combination therapy in the improvement group were significantly higher than those in the control group(52.01％vs 23.64％,87.74％vs 77.71％;both P＜0.001).The qualified rate of microbial specimens in the improvement group was significantly higher than that in the control group(88.77％vs 80.11％,P＜0.001).The detection rates of multidrug-resistant organisms and carbapenem-resistant Klebella pneumoniae in the improvement group were significantly lower than those in the control group(40.45％vs 48.42％,29.65％vs 43.17％;both P＜0.001).Conclusion The continuous improvement projects based on FOCUS-PDCA can improve the pathogen sample submission rate,reduce the detection rate of multidrug-resistant organisms,and promote standardized hospital infection quality management.

OBJECTIVE T o explore the values of body temperature,white blood cells(WBC),neutrophils(NEUT),platelets(PLT),red blood cell distribution width(RDW),procalcitonin(PCT)and C-reactive procal-citonin(PCT)in early diagnosis of postoperative nosocomial infections in the intensive care unit(ICU)patients undergoing surgical procedures.METHODS The clinical data that were collected from the surgery patients who were hospitalized in ICU of Affiliated Hospital of Nantong University from Mar.2021 to May 2022 were retro-spectively analyzed,and the enrolled patients were divided into the infection group with 45 cases and the non-infection group with 130 case according to the status of nosocomial infections.The highest body temperature and the levels of WBC,NEUT,PLT,RDW,PCT and CRP were observed and compared between the infection group within 48 hours before diagnosis with nosocomial infections and the non-infection group after ICU stay for 48 hours.The values of the single and joint detection of the indexes in prediction of postoperative nosocomial infec-tions in the ICU patients were analyzed.RESULTS The body temperature,WBC,NEUT,RDW,PCT and CRP of the infection group were 38.30(37.80,38.80)℃,14.10(10.90,17.30)× 109/L,12.22(9.32,15.12)×109/L,14.10(12.70,15.50)％,1.20(0.10,2.30)ng/ml and 55.00(40.00,70.00)mg/L,respectively,high er than those of the non-infection group(P＜0.05).CRP,body temperature,PCT,NEUT and WBC showed remarkable diag-nostic effects;the area under the curves(AUCs)of the above indexes were 0.968,0.952,0.939,0.896 and 0.886,respectively.The sensitivity of the joint detection of PCT and CRP was 0.978,with the specificity 0.985 and AUC 0.980;the sensitivity of the joint detection of body temperature,PCT and CRP was 0.978,with the specificity 0.992,AUC 0.991.CONCLUSIONS The ICU patients with postoperative nosocomial infections show high levels of body temperature,WBC,NEUT,PCT and CRP.The body temperature,PCT and CRP have high sensitivity and specificity,showing certain values in prediction of postoperative nosocomial infection in the ICU pa-tients;the joint detection of the indexes has higher diagnostic efficiency.

Objectives:To evaluate the imaging effects of the novel sympathetic nerve imaging agent 18F-FPMBBG in healthy volunteers and heart failure patients.Methods:Four healthy volunteers and four heart failure patients were selected to undergo 18F-FPMBBG positron emission tomography/computed tomography(PET/CT)dynamic imaging,the radioactivity distribution characteristics of 18F-FPMBBG in the heart and adjacent organs of the two groups were observed,and the uptake of 18F-FPMBBG by the left ventricular myocardium was compared in the two groups.Results:No adverse effects were observed in all subjects after intravenous injection of 18F-FPMBBG.In healthy volunteers,the heart uptake was rapid and stable,lung uptake was very low,and the blood pool and liver clearance were fast.The heart/liver uptake ratios at 30,60,and 90 minutes after injection were 2.33±0.81,3.29±0.90 and 3.80±1.07,respectively.The average standard uptake value(SUVmean)of 18F-FPMBBG in the heart failure group was significantly lower than that in the healthy volunteer group(P=0.003).The washout rate(WR)was significantly higher in the heart failure group([16.53±2.76]%vs.[3.88±4.51]%,P=0.003).Conclusions:18F-FPMBBG showed good imaging and diagnostic effects in the preliminary imaging of healthy subjects and heart failure patients,and it has the potential to become an ideal cardiac sympathetic nerve imaging agent.

Objective To analyze the predictive value of artificial intelligence(AI)quantitative param-eters combined with 256-slice spiral CT scans for assessing the invasiveness of lung ground-glass nodules(GGNs).Methods This study included 98 GGN patients diagnosed by postoperative pathology at the hospital from May 2021 to July 2024.Preoperative assessments involved AI quantitative parameters and 256-slice spiral CT scans.Patients were categorized into non-invasive(AAH,AIS,MIA)and invasive(IAC)groups based on pathology.AI parameters and CT scan results were compared to analyze factors influencing invasiveness and their predictive value.Results Among the 98 GGN patients,there were 29 AAH cases,22 AIS,19 MIA,and 28 IAC.The invasive group had higher average CT values,nodule long-axis diameter,maximum area,presence of air bronchogram,vascular clustering signs,and irregular shapes compared to the non-invasive group(P<0.05).Binary logistic regression identified these six features(air bronchogram,vascular clustering,irregular shape,average CT value,nodule long diameter,and maximum area)as significant factors affecting GGN invasiveness(P<0.05).ROC curve analysis showed that the combined detection of these parameters had higher sensitivity and specificity than single tests,with an AUC of 0.907,indicating a high predictive value for assessing GGN invasiveness.Conclusion The combination of AI quantitative parameters and 256-slice spiral CT scanning effectively predicts the invasiveness of GGN,provid-ing significant clinical guidance for preoperative evaluation.

ObjectiveTo establish the quality standards for Sennae Folium（Cassia angustifolia） dispensing granules based on standard decoctions. MethodsHigh performance liquid chromatography（HPLC） specific chromatograms were established for 15 batches of Sennae Folium（C. angustifolia） standard decoctions and 10 of Sennae Folium（C. angustifolia） dispensing granules from different manufacturers， and the similarity evaluation， hierarchical cluster analysis（HCA） and principal component analysis（PCA） were performed. Linear calibration with two reference substances（LCTRS） and quantitative analysis of multi-components by single-marker（QAMS） were established for the common peaks in the specific chromatograms to determine the contents of main components in the decoction pieces， standard decoctions and dispensing granules， and to calculate their transfer rates from decoction pieces to standard decoctions and dispensing granules. ResultsThe similarities of specific chromatograms of 15 batches of Sennae Folium（C. angustifolia） standard decoctions and 10 batches of Sennae Folium（C. angustifolia） dispensing granules were all greater than 0.95， and a total of 8 characteristic peaks were calibrated， and five of them were identified， including kaempferol-3，7-O-diglucoside， apigenin-6，8-di-C-glucoside， quercetin-3-O-gentianoside， sennoside B and sennoside A. HCA and PCA results showed that there were certain differences in the composition of different batches of standard decoctions， but no clustering was observed in the production area. As the standard decoctions， the extract rate of 15 batches of samples was 26.54%-45.38%， the contents of kaempferol-3，7-O-diglucoside， apigenin-6，8-di-C-glucoside， quercetin-3-O-gentianoside， sennoside B and sennoside A were 12.16-19.26， 2.57-4.94， 3.27-5.11， 6.75-11.39， 4.69-7.79 mg·g^-1， and their transfer rates from decoction pieces to standard decoctions were 45.41%-79.02%， 29.12%-55.07%， 40.52%-67.90%， 24.72%-49.12%， 27.54%-49.34%， respectively. The extract rates of Sennae Folium（C. angustifolia） dispensing granules（C8-C10） were 38.10%-39.50%， the transfer rates of the above five components from decoction pieces to dispensing granules were 72.85%-73.58%， 53.43%-53.94%， 40.19%-40.74%， 24.62%-25.00%， 28.65%-29.11%， respectively， which were generally consistent with the transfer rates from decoction pieces to standard decoctions. ConclusionCompared with the relative retention time method， LCTRS has higher prediction accuracy and is more suitable for chromatographic columns. The established quality control standard of Sennae Folium（C. angustifolia） dispensing granules based on standard decoction is reasonable and reliable， and all indicators of samples from different manufacturers are within the range specified based on the standard decoction， which can provide reference for the quality control and process research of this dispensing granules.