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:To investigate the expression of family with sequence similarity 110 member B (FAM110B) and analyze its associations with clinical prognosis, tumor heterogeneity, and immune-related gene expression through a pan-cancer analysis.Methods:TCGA and GTEx databases were used to evaluate the differential expression of FAM110B at mRNA level in pan-cancer and normal tissues. SangerBox platform and TISIDB database were used to analyze the associations of the expression level of FAM110B mRNA with clinical stages, histological grades, and overall survival of patients. The cBioPortal database and the GSCALite platform were used to analyze the genetic variations in the FAM110B gene, and the associations of FAM110B expression with immune regulatory genes, immune checkpoints, tumor mutation burden, microsatellite instability, and anti-cancer drug sensitivity. qRT-qPCR and Western blot were used to detect the expression of FAM110B at mRNA and protein levels in pancreatic cancer, respectively. Independent samples t-test was employed to assess the significance of differences between two groups; Spearman correlation coefficient was used to evaluate the associations between variables; Log-rank test was used for survival analysis. Results:FAM110B was abnormally expressed in a variety of tumors and associated with the overall survival of patients ( P<0.05), with the most significant difference observed in pancreatic cancer ( P<0.001). In vitro experiments verified that FAM110B was highly expressed in PANC-1 cells ( P<0.01), a pancreatic cancer cell line, and its expression level was related to pathological staging and histological grading ( P<0.001). In addition, the expression level of FAM110B mRNA was related to the expression levels of multiple immunomodulatory genes and correlated with tumor mutational burden and microsatellite instability in various tumors ( P<0.05). Conclusions:FAM110B is related to the prognosis, immune regulation, and tumor heterogeneity across multiple cancers, demonstrating promising potential in both basic research and clinical treatment of various cancers.

Objective:To investigate the expression of family with sequence similarity 110 member B (FAM110B) and analyze its associations with clinical prognosis, tumor heterogeneity, and immune-related gene expression through a pan-cancer analysis.Methods:TCGA and GTEx databases were used to evaluate the differential expression of FAM110B at mRNA level in pan-cancer and normal tissues. SangerBox platform and TISIDB database were used to analyze the associations of the expression level of FAM110B mRNA with clinical stages, histological grades, and overall survival of patients. The cBioPortal database and the GSCALite platform were used to analyze the genetic variations in the FAM110B gene, and the associations of FAM110B expression with immune regulatory genes, immune checkpoints, tumor mutation burden, microsatellite instability, and anti-cancer drug sensitivity. qRT-qPCR and Western blot were used to detect the expression of FAM110B at mRNA and protein levels in pancreatic cancer, respectively. Independent samples t-test was employed to assess the significance of differences between two groups; Spearman correlation coefficient was used to evaluate the associations between variables; Log-rank test was used for survival analysis. Results:FAM110B was abnormally expressed in a variety of tumors and associated with the overall survival of patients ( P<0.05), with the most significant difference observed in pancreatic cancer ( P<0.001). In vitro experiments verified that FAM110B was highly expressed in PANC-1 cells ( P<0.01), a pancreatic cancer cell line, and its expression level was related to pathological staging and histological grading ( P<0.001). In addition, the expression level of FAM110B mRNA was related to the expression levels of multiple immunomodulatory genes and correlated with tumor mutational burden and microsatellite instability in various tumors ( P<0.05). Conclusions:FAM110B is related to the prognosis, immune regulation, and tumor heterogeneity across multiple cancers, demonstrating promising potential in both basic research and clinical treatment of various cancers.

Background Individuals may experience significant alterations in sleep hygiene during the major public health emergencies,consequently impacting their sleep quality.Objective To explore the relationship between sleep quality and sleep hygiene among adult residents during the major public health emergencies,so as to provide references for improving the sleep quality of residents during such a period.Methods A sample of 1 364 adult residents were enrolled as the research subjects from February 20 to 29,2020.All participants were asked to complete self-administered questionnaire to obtain basic-demographic information and sleep hygiene.Pittsburgh Sleep Quality Index(PSQI)was applied to assess sleep quality.Residents were classified into poor sleepers with PSQI score≥8 and good sleepers defined as PSQI score<8.Binary Logistic regression analysis was conducted to identify factors associated with sleep quality.Radar chart was used to visualize and compare the sleep hygiene between poor sleepers and good sleepers.Results According to PSQI score,891(65.32%)residents were good sleepers,while 473(34.68%)residents were poor sleepers.Comparison revealed that age(χ2=3.887),past medical history(χ2=27.938),awareness rate of importance of sleeping before major public health emergencies(χ2=4.337),impact of sleep quality on quality of life during the major public health emergencies(χ2=178.138),frequency of staying up late during the major public health emergencies(χ2=139.390),compensatory sleep behaviors(χ2=39.257),impact of sleep problems on daytime functioning(χ2=285.879),change of bedtime(χ2=63.031),sleep latency(χ2=168.672),wake-up time(χ2=59.221),changes in sleep duration(χ2=172.332),time spent in the bedroom(χ2=23.071),and sum of money spent on improving sleep environment(χ2=58.584)yielded statistical difference between poor sleepers and good sleepers(P<0.05 or 0.01).Logistic regression analysis denoted that past medical history(OR=1.680,95%CI:1.185～2.382),negative impact of sleep quality on quality life(OR=4.181,95%CI:2.722～6.422),staying up late 3 to 4 times per week(OR=3.145,95%CI:1.497～6.605),staying up late almost every day(OR=4.271,95%CI:1.970～9.260),negative impact of sleep problems on daytime functioning(OR=7.169,95%CI:5.188～9.907),prolonged sleep latency(OR=2.836,95%CI:2.019～3.982)and shortened sleep duration(OR=3.518,95%CI:2.144～5.772)were risk factors of poor sleep quality.The sum of money spent on improving sleep environment following the major public health emergencies≤500 RMB(OR=0.334,95%CI:0.134～0.830)was related to the incidence rate of poor sleep quality.Radar chart showed that poor sleepers were characterized by extravagant concerns,excessive cleanliness and poor sleep hygiene practices during the major public health emergencies,and poor sleepers were more likely to stay up late due to stress and emotional issues.Conclusion Some residents are facing poor sleep quality during the major public health emergencies,and poor sleep hygiene practice also contributes to poor sleep quality.

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

Polysaccharides are the important material basis of traditional Chinese medicine（TCM）， and have various pharmacological activities such as immunomodulation， antitumor and anti-aging. Due to the large molecular weight of TCM polysaccharides， their structural analysis and oral absorption mechanism are facing technical challenges， and the current research on their structure-activity relationships has made some breakthroughs， while the research on their oral absorption mechanisms is relatively slow. In-depth study of the oral absorption mechanism of TCM polysaccharides is not only crucial for the interpretation of their action pathways and efficacy in vivo， but also helpful for the interpretation of their pharmacological effects， rational clinical applications and the discovery of new targets. In recent years， the application of fluorescent labeling and isotopic labeling methods has provided new technical means for the oral absorption studies of polysaccharides， which has promoted the development of oral absorption studies of TCM polysaccharides. In this paper， we reviewed the oral absorption pathways and labeling techniques of TCM polysaccharides， and concluded that they can be absorbed orally through transmembrane， cellular bypass， and M-cell-mediated transport， of which transmembrane pathway is the main absorption pathway， and summarized the labeling reactions of four fluorescent labeling and isotopic labeling methods with TCM polysaccharides， which can provide references for evaluating the absorption pathways of TCM polysaccharides， screening active TCM polysaccharides， establishing pharmacodynamic models and comprehensively elucidating the mechanism of TCM polysaccharides.

Insomnia disorder is the most common sleep disorder,which interacts with other diseases,caus-ing health damage to human body and imposing a significant socio-economic burden.Currently,there have been fur-ther advancements in subtypes of insomnia disorder,comorbidity research,mechanistic hypotheses,assessment strategies,and treatment methods.With the advent of the information age,digital platforms can integrate early warn-ing,accurate assessment and diagnosis,treatment methods,and later follow-up for insomnia disorder to establish a comprehensive and standardized system for the treatment and management of insomnia disorder,helping to alleviate a rising morbidity rate and save healthcare costs.