ObjectiveIn order to provide a reference for the optimization of preparation process of stir-fried Glycyrrhizae Radix et Rhizoma（sf-GRR）， the quality changes during the processing was studied. MethodsGlycyrrhizae Radix et Rhizoma was processed by stir-frying for 17 min， and samples were collected every 1 min during the processing. The appearance color of the samples was determined by visual analysis technology， the moisture and extract of the process samples were detected by the drying method and the hot extraction method of alcohol-soluble extract in the general rules of the 2020 edition of Chinese Pharmacopoeia（part Ⅳ）， and the contents of liquiritin apioside， liquiritin， isoliquiritin apioside， isoliquiritin， licoricesaponin G₂ and glycyrrhizic acid in the process samples were determined by high performance liquid chromatography（HPLC）. Then principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and Spearman correlation analysis were used for clustering， discrimination and correlation analysis of the appearance color， moisture， extract and the contents of six internal components. Based on artificial neural network and random forest algorithm， the prediction model of processing degree of sf-GRR was established. On this basis， based on the five principles of quality marker（Q-Maker）， explore the monitoring Q-Maker of sf-GRR. ResultsThe color of Glycyrrhizae Radix et Rhizoma deepened after stir-frying， and the appearance color of the sample changed from light yellow to dark yellow during processing. During the stir-frying process， the moisture content showed a decreasing trend with the extension of processing time， while the extract content showed an increasing trend with the extension of processing time. After stir-frying， the contents of liquiritin apioside， liquiritin and licoricesaponin G₂ showed an overall decreasing trend， while the contents of isoliquiritin apioside and isoliquiritin increased， and the content of glycyrrhizic acid increased slightly. The correlation analysis showed that moisture was positively correlated with brightness（L^*） and red/green value（a^*）， and negatively correlated with yellow/blue value（b^*） and total color difference（E^*ab）. Isoliquiritin apioside and isoliquiritin had negative correlation with L^* and a^*， and positive correlation with b^* and E^*ab. The processing process of sf-GRR could be divided into two stages of the early stage（0-14 min） and the late stage（15-17 min）， and could be divided into three stages of the early stage（0-6 min）， the middle stage（7-14 min） and the late stage（15-17 min） by combining the moisture， extract， the contents of 6 components and color values. Based on artificial neural network analysis and random forest algorithm， isoliquiritin apioside， isoliquiritin， liquiritin and glycyrrhizic acid were selected as monitoring markers for sf-GRR. ConclusionBased on the analysis of the exterior-interior indicators of process samples of sf-GRR， this paper ultimately identifies four processing monitoring markers， which can provide a basis for optimizing the processing technology of sf-GRR.

Objective To explore the dynamic changes and mechanisms of neurological and cognitive functions in mice with traumatic brain injury (TBI). Methods Totally 60 12⁃month⁃old Balb/ c mice were divided into control group (10 in group) and TBI group (50 in group). TBT model mice were divided into 5 subgroups according to the time of model construction, including model 1 day, model 1 day, model 3 day, model 7 day, model 14 days and model 28 days group with 10 in each group. At the 29th day of the experiment, neurological scores and step down tests were carried out. After the test, the mice were sacrificed for brains which were detected by immunohistochemistry staining, inflammatory cytokine tests and Western blotting. Results Compared with the control group, the neurological scores of mice in TBI group increased, and then decreased after the 7th day when the scores reached the peak. However, the latency of step down errors was lower than control group, and the number of step down errors was higher than control group which had no changes. Compared with the control group, the expression of lonized calcium⁃binding adapter molecule 1(IBA1), chemokine C⁃X3⁃C⁃motif ligand1 (CX3CL1), C⁃X3⁃C chemokine receptor 1(CX3CR1), NOD⁃like receptor thermal protein domain associated protein 3 (NLRP3), and phosphorylation nuclear factor(p⁃NF)⁃κB in TBI group increased and reached to the peak at the 7th day, and then started to decrease. At the same time, the levels of inflammatory cytokines interleukin⁃6(IL⁃6) and tumor necrosis factor⁃α(TNF⁃α) first increased to the peak, and then began to decrease. However, compared with the control group, the expression of amyloid β(Aβ) protein and p⁃Tau protein in the model group continued to increase at all time. Conclusion The TBI model caused continuous activation of microglia along with inflammatory response, which first increased and then decreased, resultsing in neurological scores changes. In addition, the inflammatory response may act as a promoter of Aβ protein deposition and Tau protein phosphorylation, leading to cognitive impairment in mice.

italic>Anoectochilus roxburghii liquid (spray, a hospital preparation of Wu Mengchao Hepatobiliary Hospital of Fujian Medical University) has shown a good clinical treatment effect during the COVID-19 pandemic, but its material basis and mechanism of action are still unclear. In this study, network pharmacology and molecular docking methods were used to predict the molecular mechanism of A. roxburghii liquid against COVID-19, and pharmacodynamic experiments in vitro were conducted to study the interaction between the current targets with clear preventive and therapeutic effects and the key components of A. roxburghii liquid. UPLC-MS and database were used to compare and analyze the active ingredients in the liquid, and 17 potential active ingredients with good drug-like properties were screened by in vivo pharmacokinetics process in SwissADME database. SwissTargetPrediction and GeneCards were searched to find 93 common targets. Cytoscape 3.8.2 software was used to construct the "component-target" network map, and the Metascape platform was used for gene function annotation and pathway enrichment analysis. It was found that the extract could regulate the positive response to external stimuli, inflammatory response, cytokine production and other biological processes by binding the active ingredients such as isorhamnetin, kaempferol, luteolin, quercetin and apigenin to the common targets (NOS3, MPO, MMP3, etc.), and play an anti-COVID-19 role. In the angiotensin-converting enzyme 2 (ACE2) activity inhibition assay, it was found that the stock solution of A. roxburghii liquid (for spray), and the supernatant after removing polysaccharides (mainly containing flavonoids) could to some extent inhibit the activity of ACE2. Crucially, in the experiment of 2019-nCOV-S pseudovirus infecting HEK-293T-ACE2 cells, we found that A. roxburghii liquid may exert anti-COVID-19 effects by blocking the binding of SARS-CoV-S protein to ACE2.

Ten compounds were isolated and purified from ethanol extracts of dried roots bark of Polygala tenuifolia Willd. by various chromatography techniques such as silica gel and Sephadex LH-20. Their structures were identified by analysis of physicochemical properties and spectral data, and determined as β-sitosterol (1), tenuifolin (2), 6-methoxy coumarin (3), 7-phenyl-1-hydroxy-2,3,6-trimethoxyxanthone (4), 1,8-dihydroxy-3,4,7-trimethoxyanthone (5), mangiferin (6), quercetin-3-O-β-D-glucoside (7), rutin (8), syringaldehyde (9), salicylicacid (10). Among them, compounds 3, 4 and 5 were isolated from the genus of Ploygala for the first time and compound 4 was a new xanthone. The acetylcholinesterase inhibitory activities of compounds 3, 4 and 5 were evaluated by Ellman colorimetric method, compounds 3 and 5 exhibited moderate inhibitory activity, compound 4 exhibited weak inhibitory activity.

Background Multimorbidity imposes a heavy burden on individuals, families, and society. There are relatively few studies exploring patterns of multimorbidity among middle-aged adults in China. Objective To explore the current status of multimorbidity, associated risk factors, and multimorbidity patterns among adults aged 45-64 years in China, so as to provide a scientific basis to prevent and control multimorbidity in China. Methods A total of 5494 adults aged 45-64 years from the Chinese Health and Nutrition Survey (CHNS) in 2018 were selected. Of these, 2494 (45.39%) were men and 3000 (54.61%) were women. The nine diseases included were hypertension, diabetes, dyslipidaemia, obesity, mild cognitive impairment (MCI), myocardial infarction, stroke, asthma, and tumor. The prevalence of each disease or multimorbidity was expressed as N (%). Comparisons of multimorbidity prevalence between different groups were performed using the χ² test or Cochran-Armitage trend test. Association rule with the Apriori algorithm was used to explore the pattern of multimorbidity, with parameters set at a minimum conditional support of 3.00%, a minimum rule confidence of 50.00%, and a lift of >1.20. Logistic regression was used to evaluate the associations between selected risk factors and multimorbidity. Results In 2018, 37.44% of participants reported multimorbidity in 15 provinces of China. The prevalence of diseases in descending order was dyslipidaemia (39.99%), hypertension (39.48%), obesity (16.42%), MCI (14.47%), diabetes (14.16%), tumor (1.09%), stroke (1.04%), myocardial infarction (0.71%), and asthma (0.64%). A total of seven multimorbidity patterns were identified in this group. Obesity paired with hypertension, and diabetes paired with dyslipidemia were the two major patterns of multimorbidity in the general population and age or sex subgroups. The multimorbidity patterns of different populations were concentrated in the combination of obesity, hypertension, diabetes, and dyslipidemia. The risk of multimorbidity was lower in females than in males (OR=0.85, 95%CI: 0.75, 0.97). The multimorbidity risk was 1.56 times higher in the 55-64 years group than in the 45-54 years group (OR=1.56, 95%CI: 1.40, 1.75). Drinking in the past year increased the risk of multimorbidity by 25% (OR=1.25, 95%CI: 1.08, 1.45) compared to no alcohol comsumption in the past year. High and medium levels of physical activity were associated with a decreased OR (high: OR=0.74, 95%CI: 0.65, 0.85; medium: OR=0.81, 95%CI: 0.70, 0.93) with low level of physical activity as reference. Conclusion In 2018, there was a high prevalence rate of multimorbidity among middle-aged adults in China. The main multimorbidity patterns were obesity-hypertension and diabetes-dyslipidemia. Surveillance and interventions should be strengthened particularly for men, individuals with alcohol consumption or insufficient physical activity, and those with major multimorbidity patterns.

Objective:To analyze the key points and shortcomings of Traditional Chinese Medicine(TCM)science and technology innovation policy in China,and to provide reference for the subsequent policy optimization.Methods:Searching for TCM science and technology innovation policy texts released at the national level since 2007,and use the two-dimensional analysis framework for quantitative analysis.Results:Among 27 policies,In the X dimension,supply-based,environmental and demand-based policy tools respectively accounted for 48.98%,39.29%and 11.73%.In the Y dimension,the proportion of scientific and technological innovation and achievement transformation was the highest(29.03%);Promoting the development of integrated Chinese and Western medicine was the least used(1.08%).Conclusion:There is a structural imbalance in the application of policy tools,the distribution difference of policy objectives is significant,and the internal policy tools'usage is imbalanced regarding policy objectives.Suggestions:Optimize the internal structure of policy tools.Meanwhile,enhance the structure of policy objectives,and facilitate the dynamic integration and application of policy tools to achieve the policy objectives of scientific and technological innovation in TCM.

Objective To analyze the real experiences of patients with inflammatory bowel disease(IBD)during dietary restrictions,providing references for healthcare personnel to guide patients in standardizing dietary restriction behaviors.Methods Purposeful sampling was employed to select 14 patients with IBD who were treated at a tertiary A hospital in Shanghai between October 2022 and February 2023 for semi-structured in-depth interviews.Data were analyzed using the Colaizzi's 7-step method in phenomenological research.Results 4 themes and 13 sub-themes were extracted.Theme 1:facing multiple physiological challenges(hunger,nutritional imbalance,fatigue and muscle atrophy).Theme 2:experiencing negative psychological disturbances(craving and struggle for gourmet food,diminished zest for life and increased anxiety,feeling embarrassed during social activities).Theme 3:adopting various coping strategies(self-adjustment and adaptation to dietary restrictions,satisfying oral desires through various avenues,seeking knowledge and guidance on nutrition).Theme 4:gaining more growth and support(improved symptom and quality of life,enhanced awareness of dietary health,improved ability to manage diet,receiving support from peers and family).Conclusion The experience of dietary restrictions in IBD patients is complex and varied.Nursing staff should prioritize nutritional risk screening for IBD patients,pay attention to their mental health,provide patients with scientific and personalized dietary guidance,and strengthen social and family support to assist patients in better self-management of their diet.

The dosage， dose and administration method of decoctions are important factors affecting the efficacy of prescriptions. By analyzing 35 decoction formulas from the Ming and Qing dynasties within the Catalogue of Ancient Classic Famous Formulas （First Batch）， it was found that the average dosage was equivalent to about 65 g， of which 71.4% （25/35） of the prescriptions had a dosage ≤60 g. And among them， the dosage of decoctions in the Ming dynasty was significantly smaller than that in the Qing dynasty. Considering the characteristics of formulas in Song dynasty， it is believed that decoctions in Ming and Qing dynasties were influenced by the popular use of decoctions during the Song， Jin， and Yuan dynasties. Some decoctions recorded a dosage of one dose instead of one day， which was more evident in the Ming dynasty. However， by the Qing dynasty， the usage of prescriptions with a dosage of one day gradually became more common. Therefore， in the practical research and application of classic famous formulas from the Ming and Qing dynasties， it is advised to pay attention to the difference between the dosage， one dose and the daily dosage. It is necessary to determine whether to double the dosage of the original formula based on the actual use， in order to ensure the clinical efficacy.

Objective: To analyze the influencing factors of psychological flexibility for cancer-related pain patients, so as to provide insights for improving their psychological flexibility. Methods: Cancer-related pain patients hospitalized in the Oncology Department of Anhui Cancer Hospital were selected as the subjects of the survey. Demographic information and disease information were collected through questionnaires. Pain belief was assessed using the Pain Beliefs and Perceptions Inventory. Alexithymia was assessed using the Twenty-Item Toronto Alexithymia Scale-Ⅱ. Psychological flexibility was assessed using the Psychological Inflexibility in Pain Scale. The influencing factors of psychological flexibility among cancer-related pain patients was analyzed by using a multiple linear regression model. Results: A total of 202 cancer-related pain patients were surveyed, including 114 males (56.44%) and 88 females (43.56%). The mean age was (59.99±11.53) years. The primary tumor type was digestive system cancer, with 121 cases (59.90%). The average pain intensity in the past 24 hours was mainly mild, with 150 cases (74.26%). The median pain beliefs score was -0.19 (interquartile range, 0.39) points. The total score of alexithymia was (66.86±5.60) points. The total score of psychological flexibility in cancer-related pain patients was (66.35±7.23) points. Multiple linear regression analysis showed that pain belief (β'=0.321), alexithymia (β'=0.222), and average pain intensity in the past 24 hours (β'=-0.481) were influencing factors for psychological flexibility in cancer-related pain patients. Conclusion The psychological flexibility of cancer-related pain patients is related to pain beliefs, alexithymia and average pain intensity in the past 24 hours.

ObjectiveKaroshi, death from overwork, is a serious problem with unclear identification standards and mechanisms. This study aims to establish a karoshi rat model by integrating weight-bearing swimming and sleep deprivation. This model will enable us to investigate the adverse effects of acute physical and mental fatigue on cardiac functions and explore the response mechanisms to overwork using integrated omics approaches, specifically metabonomics and proteomics. MethodsThe experimental design involved healthy male sprague-dawley (SD) rats subjected to weight-bearing swimming and sleep deprivation for 7 d. The rats were monitored for changes in physiological function indexes, including electrocardiogram and respiration. Protein digestion, iTRAQ labeling, and quantitative data analyses were performed to determine differentially expressed proteins (DEPs). Additionally, GC-MS analysis was conducted to identify differential metabolites. The integration analysis of differential metabolites and proteins shared by the fatigue group and the overwork group was performed to construct a relevant metabolic pathway network and integrate the proteomics and metabolomics data. Statistical analysis was carried out using one-way ANOVA and Duncan’s multiple range t-tests. ResultsThe rats subjected to weight-bearing swimming and sleep deprivation showed various physical and behavioral changes associated with fatigue, including hair disorder, decreased muscle tension, reduced food intake, and weight loss. Analysis of cardiac functions revealed cardiac hypertrophy and heart failure in the fatigue and karoshi groups, as evidenced by changes in heart color, myocardial fiber structure, heart rate, respiratory rate, and cardiac ultrasound measurements. Metabolomics analysis using GC-MS identified several differential metabolites in response to overwork, including amino acids involved in various metabolic pathways. Proteomic analysis using iTRAQ technology identified DEPs in the fatigue and karoshi groups, with a subset of DEPs shared by both groups. The GO analysis revealed that the up-regulated DEPs were primarily associated with mitochondria and peroxisomes in the cellular component category. The Reactome analysis further highlighted the enrichment of DEPs in the transfer of ferriheme from methemoglobin to hemopexin pathway. Integration analysis of the DEPs and differential metabolites revealed the activation of autophagy, increased mitochondrial oxidative phosphorylation, enhanced branched-chain amino acid degradation, and altered peroxisomal β-oxidation. These findings suggested complex metabolic adaptations to meet the increased energy demands during overwork while also dealing with oxidative stress. Furthermore, the reprogramming of energy metabolism was observed, with upregulation of fatty acid β-oxidation enzymes and glycolysis-related enzymes in the fatigue group, indicating a shift towards glucose metabolism. In contrast, the karoshi group showed a decreased dependence on fatty acids as an energy source and increased utilization of glucose. The model proposed in this study highlights the interconnected metabolic changes involving mitochondria, peroxisomes, and lysosomes in response to overwork. The findings contribute to our understanding of the mechanisms involved in overwork-related pathologies and provide a basis for further research in the field of karoshi. ConclusionOverall, metabolic reprogramming might provide sufficient energy to the heart, alleviate oxidative stress and damage to cardiac cells in response to excessive exertion and fatigue. Our findings provide an insight into response mechanism to overwork death and lay a foundation for further research on overwork death.