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 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.

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.

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.

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 observe the value of 3.0T multimodal MRI for preoperative evaluation of T stage and therapeutic efficacy of neoadjuvant for rectal cancer.Methods 3.0T multimodal MRI data,including T1WI,T2WI/diffusion weighted imaging(DWI),dynamic contrast enhanced MRI(DCE-MRI)and intravoxel incoherent motion DWI(IVIM-DWI)of 150 patients with rectal cancer were retrospectively analyzed,and the value of different sequences for evaluating T stage and therapeutic efficacy of neoadjuvant for rectal cancer were assessed.Results The sensitivity,specificity and accuracy of T1WI,T2WI/DWI,DCE-MRI and IVIM-DWI for evaluating T1-T2 and T3-T4 stage rectal cancer were all significantly different(all P＜0.05).The diagnostic efficacy of DCE-MRI and IVIM-DWI were all higher than that of T1WI and T2WI/DWI(all P＜0.05).Combination evaluation of DCE-MRI and IVIM-DWI for T stage of rectal cancer had good consistency with pathological results(Kappa=0.943,P＜0.05).Significant differences of volume transfer constant(Ktrans),true diffusion coefficient(D)and apparent diffusion coefficient(ADC)were found among different T stage rectal cancers(all P＜0.05).Totally 80 patients received neoadjuvant therapy,and significant differences of Ktrans,D and ADC were noticed between patients with good(n=32)or poor efficacy(n=48)(all P＜0.05).The area under the curve(AUC)of Ktrans,D and ADC for evaluating therapeutic efficacy of neoadjuvant for rectal cancer was 0.774,0.837 and 0.758,respectively,of the combination of above three was 0.929,higher than that of single indexes(all P＜0.05).Conclusion Combination of 3.0T DCE-MRI and IVIM-DWI was helpful for preoperative evaluating T stage and therapeutic efficacy of neoadjuvant for rectal cancer.

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.

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 explore the effects of grading pulmonary rehabilitation nursing on weaning trend among patients with mechanical ventilation in ICU.Methods:A total of 68 patients with mechanical ventilation from May 2018 to May 2019 in ICU of Guangzhou Red Cross Hospital were divided into the experimental group and the control group with 34 cases in each group by random digits table method. The control group was given routine rehabilitation nursing and the experimental group was given graded pulmonary rehabilitation nursing based on routine nursing. The differences between the two groups were compared in terms of rapid shallow breathing index(RSBI), oxygenation index, mechanical ventilation time, hospitalization time, success rate of weaning and incidence of complications.Results:On the 5th day and the 7th day after the intervention, the RSBI were 80.59 ± 5.69 and 75.74 ± 8.62 in the experimental group, which were significantly lower than those in the control group (89.54 ± 8.96 and 85.15 ± 9.75), ( t=5.06 and 4.28, both P<0.05). On the 3th, 5th, 7th day after the intervention, the oxygenation index were (244.82 ± 22.77), (248.21 ± 17.49) and (263.79 ± 17.31) mmHg in the experimental group, which were significantly lower than those in the control group (137.41 ± 15.01), (192.79 ± 15.82) and (206.26 ± 17.40) mmHg, ( t=22.97, 13.70, 13.67, all P<0.05). The duration of mechanical ventilation, length of ICU stay and the incidence of ventilator-associated pneumonia, deep venous thrombosis were (11.29 ± 1.38) days, (12.47 ± 1.73) days and 0, 0 in the experimental group, which were significantly lower than those in the control group (12.18 ± 1.47) days, (13.53 ± 1.62) days and 11.8%(4/34), 14.7%(5/34). The withdrawal success rate was 94.1%(32/34) in the experimental group, significantly higher than that in the control group 76.5% (26/34), the difference was statistically significant ( χ2=4.22, P<0.05). Conclusions:Grading pulmonary rehabilitation nursing can improve the respiratory function, shorten the time of mechanical ventilation and the length of ICU hospitalization, as well as reduce the occurrence of complicaitons.