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.

Chinese patent medicines are the core preparations for disease prevention and treatment in clinical traditional Chinese medicine （TCM）. Their quality is the key to ensuring safe and effective medication and promoting the high-quality development of the TCM industry. At present， the quality evaluation of Chinese patent medicines faces prominent problems， such as inadequate control of quality consistency， over-reliance on single indicators， one-sided evaluation dimensions， unstable statistical methods， and poor implementability of research findings. These defects lead to insufficient scientificity of evaluation results， making it difficult to support the implementation of policies including centralized procurement， high quality， and favorable prices for Chinese patent medicines. According to the core requirements of quality evaluation for Chinese patent medicines， this study established a four-dimensional comprehensive evaluation system encompassing consistency index（CI）， content index（MI）， effect index（EI）， and preparation index（PI）. All evaluation indicators were normalized to achieve horizontal comparability. Meanwhile， an improved radar chart was introduced to realize the visualization of evaluation results. This method can systematically integrate four types of core quality attributes： Quality consistency， component content， biological activity， and preparation characteristics. It can effectively distinguish quality differences among products of the same specification from different manufacturers. The evaluation results are unique， stable， and not affected by the addition or reduction of samples， which takes scientificity， objectivity， and operability into account. This method can provide scientific and technical support for screening high-quality Chinese patent medicines and implementing policies of centralized procurement， high quality， and favorable prices. Moreover， it has important practical significance for improving the quality evaluation system of Chinese patent medicines and advancing the standard and modern development of TCM.

ObjectiveTo establish a comprehensive evaluation framework combining multi-component quantification with daily intake in response to the challenges posed by multiple coexisting dosage forms， single-faceted quality evaluation， and ambiguous clinical equivalence of Huoxiang Zhengqi preparations， and to compare the quality differences and superiority among eight commercially available dosage forms. MethodsA total of 75 batches of Huoxiang Zhengqi preparations from 25 manufacturers were investigated. Ultra-performance liquid chromatography-triple quadrupole-tandem mass spectrometry （UPLC-QqQ-MS/MS） coupled with gas chromatography-triple quadrupole-tandem mass spectrometry （GC-QqQ-MS/MS） was adopted to simultaneously quantify 20 core marker components. Normalization was performed based on equivalent raw herb concentrations to eliminate interferences from dosage forms， excipients， and specifications. Considering the specified clinical dosage， the actual daily intake level was calculated to comprehensively evaluate component retention， content uniformity， and potential differences in in vivo exposure among different dosage forms. ResultsThe quality of Huoxiang Zhengqi preparations differed greatly among dosage forms and manufacturers. On the basis of the recommended daily doses in the package inserts， the total daily intake of the 20 tested components ranged from 3.14 to 614.30 mg·d^-1， while that of hesperidin， a quality-control marker， ranged from 0.03 to 40.65 mg·d^-1. Atractylodin was detected only in tinctures and soft capsules， with concentrations ranging from （2.68±0.01） to （5.73±0.37） mg·L^-1. The soft capsules from manufacturer M22 had the highest atractylodin level， while atractylodin was not detected in the other dosage forms. Nucleosides were most abundant in the oral liquids and tinctures （M4 to M13）. The tincture from manufacturer M5 showed the highest nucleoside level of 29.12 mg·L^-1， whereas the granules had the lowest nucleoside levels， with that of M23 being only 3.48 mg·L^-1. Perillae Folium-related components varied greatly among batches， with an relative standard deviation （RSD） of 87.55%. The daily intake of hesperidin from all three granule products was below 3.6 mg·d^-1， the reference value calculated for Huoxiang Zhengqi Shui according to the 2025 edition of the Chinese Pharmacopoeia. ConclusionThe levels of active components differed significantly among different dosage forms of Huoxiang Zhengqi preparations. Tinctures contained more types and higher overall levels of active components， while soft capsules were better at preserving volatile components. Granules and dripping pills had lower overall levels of active components. The comprehensive evaluation method established in this study can provide a basis for the quality control， process optimization， and the selection of high-quality products.

Objective:Age-related cataract is the most common type of adult cataract and a leading cause of blindness.Currently,there are few reports on the establishment of animal models for age-related cataract.During the experimental breeding of Microtus fortis(M.fortis),we first observed that M.fortis aged 12 to 15 months could naturally develop cataracts.This study aims to explore the possibility of developing them as an animal model for age-related cataract via identifing and analyzing spontaneous cataract in M.fortis. Methods:The 12-month-old healthy M.fortis were served as a control group and 12-month-old cataractous M.fortis were served as an experimental group.The lens transparency was observed using the slit-lamp biomicroscope.Hematoxylin and eosin staining was used to detect pathological changes in the lens.Biochemical detection methods were applied to detect blood routine,blood glucose levels,the serum activities of superoxide dismutase(SOD),and glutathione peroxidase(GSH-Px)in both groups.Finally,real-time RT-PCR was used to detect the transcription levels of cataract-related genes in the lens of 2 groups. Results:Compared with the control group,the lens of cataract M.fortis showed severely visible opacity,the structure of lens was destroyed seriously,and some pathological damage,such as swelling,degeneration/necrosis,calcification,hyperplasia,and fiber liquefaction were found in lens epithelial cells(LECs).The fibrous structure was disorganized and irregularly distributed with morgagnian globules(MGs)aggregated in the degenerated lens fibers.There was no statistically significant difference in blood glucose levels between the experimental and control groups(P＞0.05).However,white blood cell(WBC)count(P＜0.05),lymphocyte count(P＜0.01),and lymphocyte ratio(P＜0.05)were significantly decreased,while neutrophil percentage(P＜0.05)and monocyte ratio(P＜0.01)were significantly increased.The serum activities of SOD and GSH-Px(both P＜0.05)were both reduced.The mRNAs of cataract-related genes,including CRYAA,CRYBA1,CRYBB3,Bsfp1,GJA3,CRYBA2,MIP,HspB1,DNase2B,and GJA8,were significantly downregultaed in the lenses of the experimental group(all P＜0.05). Conclusion:There are significant differences in lens pathological changes,peroxidase levels,and cataract-related gene expression between cataract and healthy M.fortis.The developed cataract spontaneously in M.fortis is closely related to age,the cataract M.fortis might be an ideal animal model for the research of age-related cataract.

Objective:To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in rehabilitation therapists.Methods:In September 2023, the computer searched Chinese and English databases such as CNKI database, Wanfang Data Knowledge Service Platform, VIP Chinese Science and Technology Journal Database, Chinese Biomedical Literature Database, PubMed, Cochrane Library, Web of Science, Embase database, etc. The retrieval time was from the establishment of the database to September 2023. Musculoskeletal disorders, rehabilitation therapists were selected as search terms, and the author, publication time, prevalence rate, and study type were analyzed. The Agency for Healthcare Research and Quality (AHRQ) tool and The Newcastle-Ottawa Scale (NOS) were used to evaluate the quality of the literature. Stata 15.0 software was used for meta-analysis.Results:A total of 28 literatures were included, including 8039 rehabilitation therapists. Meta-analysis showed that the overall prevalence rate of WMSDs among rehabilitation therapists was 72% (95% CI: 64%-80%). The top 3 annual prevalence rates were lower back (51%, 95% CI: 38%-64%), neck (42%, 95% CI: 30%-54%) and shoulder (32%, 95% CI: 23%-41%). The top 3 weekly prevalence rates were lower back (47%, 95% CI: 28%-65%), neck (35%, 95% CI: 14%-55%) and back (30%, 95% CI: 17%-44%) . Conclusion:The higher prevalence of WMSDs in rehabilitation therapists, especially in the lower back, neck, shoulder and back, may be related to the prolonged stouching posture and the continuous or repeated exertion of the upper limbs.

The transmission and interaction of neural information between the hippocampus and the prefrontal cortex play an important role in learning and memory. However, the specific effects of learning memory-related tasks on the connectivity characteristics between these two brain regions remain inadequately understood. This study employed in vivo microelectrode recording to obtain local field potentials (LFPs) from the ventral hippocampus (vHPC) and medial prefrontal cortex (mPFC) in eight rats during the performance of a T-maze task, assessed both before and after task learning. Additionally, dynamic causal modeling (DCM) was utilized to analyze alterations in causal connectivity between the vHPC and the mPFC during memory task execution pre- and post-learning. Results indicated the presence of forward connections from vHPC to mPFC and backward connections from mPFC to vHPC during the T-maze task. Moreover, the forward connection between these brain regions was slightly enhanced after task learning, whereas the backward connection was diminished. These changes in connectivity corresponded with the observed trends when the rats correctly performed the T-maze task. In conclusion, this study may facilitate future investigations into the underlying mechanisms of learning and memory from the perspective of connectivity characteristics between distinct brain regions.
Animals ; Hippocampus/physiology* ; Rats ; Prefrontal Cortex/physiology* ; Memory/physiology* ; Maze Learning/physiology* ; Learning/physiology* ; Male

Objective:To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in rehabilitation therapists.Methods:In September 2023, the computer searched Chinese and English databases such as CNKI database, Wanfang Data Knowledge Service Platform, VIP Chinese Science and Technology Journal Database, Chinese Biomedical Literature Database, PubMed, Cochrane Library, Web of Science, Embase database, etc. The retrieval time was from the establishment of the database to September 2023. Musculoskeletal disorders, rehabilitation therapists were selected as search terms, and the author, publication time, prevalence rate, and study type were analyzed. The Agency for Healthcare Research and Quality (AHRQ) tool and The Newcastle-Ottawa Scale (NOS) were used to evaluate the quality of the literature. Stata 15.0 software was used for meta-analysis.Results:A total of 28 literatures were included, including 8039 rehabilitation therapists. Meta-analysis showed that the overall prevalence rate of WMSDs among rehabilitation therapists was 72% (95% CI: 64%-80%). The top 3 annual prevalence rates were lower back (51%, 95% CI: 38%-64%), neck (42%, 95% CI: 30%-54%) and shoulder (32%, 95% CI: 23%-41%). The top 3 weekly prevalence rates were lower back (47%, 95% CI: 28%-65%), neck (35%, 95% CI: 14%-55%) and back (30%, 95% CI: 17%-44%) . Conclusion:The higher prevalence of WMSDs in rehabilitation therapists, especially in the lower back, neck, shoulder and back, may be related to the prolonged stouching posture and the continuous or repeated exertion of the upper limbs.

Peptide‒drug conjugates (PDCs) are drug delivery systems consisting of a drug covalently coupled to a multifunctional peptide via a cleavable linker. As an emerging prodrug strategy, PDCs not only preserve the function and bioactivity of the peptides but also release the drugs responsively with the cleavable property of the linkers. Given the ability to significantly improve the circulation stability and targeting of drugs in vivo and reduce the toxic side effects of drugs, PDCs have already been extensively applied in drug delivery. Herein, we review the types and mechanisms of peptides, linkers and drugs used to construct PDCs, and summarize the clinical applications and challenges of PDC drugs.

Objective:To analyze the application effect of health failure mode and effect analysis (HFMEA) model in patients with artificial airways in the cardiovascular surgery intensive care unit (CSICU) by establishing a HFMEA project team, and to develop targeted improvement measures and processes.Methods:The patients undergoing cardiovascular surgeries and with established artificial airways in the Shandong Provincial Hospital Affiliated to Shandong First Medical University were recruited from October 2021 to March 2022. The enrolled patients were divided into the conventional management group and the HFMEA model management group according to random number table method. The conventional management group applied the conventional procedures for monitoring the air bag pressure. The HFMEA model management group used the HFMEA model to implement and improve the airbag pressure monitoring process. The efficacy of HFMEA was assessed by comparing the incidence of ventilator-associated pneumonia (VAP), the pass rate of airbag pressure monitoring, the duration of endotracheal intubation and the length of CSICU stay between two groups. The practicability of HFMEA model was evaluated by analyzing the theoretical assessment scores and practical skill scores of nurses and their satisfaction scores with HFMEA.Results:Compared with the conventional management group, the patients in the HFMEA mode management group had a significantly higher rate of passing airbag pressure monitoring [94.99% (2 994/3 152) vs. 69.97% (1 626/2 324), P < 0.01], shorter duration of endotracheal intubation and length of CSICU stay [duration of endotracheal intubation (hours): 6 (7, 12) vs. 6 (8, 13), length of CSICU stay (hours): 40 (45, 65) vs. 41 (46, 85), both P < 0.05], but the incidences of VAP between the two groups were similar. The theoretical assessment scores and practical skill scores of nurses were significantly higher (theoretical assessment score: 44.47±2.72 vs. 37.59±6.56, practical skill score: 44.56±2.66 vs. 40.03±4.32, total score: 89.03±3.07 vs. 77.63±9.56, all P < 0.05) in the HFMEA mode management group. And the satisfaction scores with airbag pressure management were also significantly higher in the HFMEA mode management group (7.72±1.11 vs. 6.44±1.32, P < 0.05). Conclusions:The application of the HFMEA can improve the airbag pressure measures and standardize the monitoring procedures in patients with artificial airways, and reduce the risk of clinical nursing. It is safe and effective for patients with invasive mechanical ventilation in the CSICU.