Objective To establish an HPLC method to determine the concentration of inositol nicotinate（IN） in rat skin, and study the pharmacokinetic characteristics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats. Methods HPLC method was used to establish a simple and rapid analytical method for the determination of IN concentration in the skin of rats at different time points after administration. The established method was used to study the pharmacokinetics of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats, and the pharmacokinetic parameters were fitted with DAS software. Results The linearity of the analytical method was good in the concentration range of 0.25-20 μg/ml, the quantitative limit was 0.25 μg/ml, and the average recovery rate was 96.18%. The pharmacokinetic parameters of IN after transdermal administration of heparin sodium inositol nicotinate cream in rats were as follows: t_1/2 was （4.555±2.054） h, T_max was （6±0）h, C_max was （16.929±2.153）mg/L, AUC_0−t was （150.665±16.568） mg·h /L ,AUC_0−∞ was （161.074±23.917） mg·h /L, MRT_（0−t） was （9.044±0.618）h, MRT_{（0−∞）} was （10.444±1.91） h, CLz/F was （0.19±0.03） L/（h·kg）, and Vz/F was （1.19±0.437） L/（h·kg）. Conclusion IN could quickly penetrate the skin and accumulate in the skin for a long time, which was beneficial to the pharmacological action of drugs on the lesion site for a long time. The method is simple, rapid, specific and reproducible, which could be successfully applied to the pharmacokinetic study of IN after transdermal administration in rats.

Object To study the efficacy and potential mechanism of Tongbianling capsule in constipation. Methods The effects of Tongbianling capsule on intestinal motility in normal mice and carbon powder propulsion rate in small intestine of constipation model mice after were observed administration. The potential targets and key pathways of Tongbianling capsule in treating constipation were identified through network pharmacology. To verify the mechanism, the expression of p-PI3K/PI3K, p-AKT/AKT and CASP3 proteins in mouse colon tissue was detected by the western blot. Results The time for mice to excrete the first black stool was shortened and the number of fecal particles was increased in Tongbianling capsule administration group, and the carbon powder propulsion rate of mice in each Tongbianling capsule administration group was increased. The results of network pharmacology showed that treatment of constipation by Tongbianling capsule may be related to signaling pathways such as PI3K-Akt signaling pathway and 5-HT. The protein expression of p-PI3K/PI3K, p-AKT/AKT, and CASP3 in mouse colon tissue could be significantly downregulated in administration group. Conclusion Tongbianling capsule could effectively promote intestinal peristalsis in mice, increase the frequency of defecation, and effectively treat constipation. The mechanism of its action may be related to the direct or indirect regulation of intestinal motility by the PI3K-Akt signaling pathway.

ObjectiveTo explore the mechanism of modified Xiehuangsan in treating tic disorders （TD） based on microglial polarization and the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor （NF）-κB pathway. MethodsSeventy-two Sprague-Dawley （SD） rats were randomly assigned into six groups： control， model， tiapride （0.025 g·kg^-1）， and low-， medium-， and high-dose （12， 24， 48 g·kg^-1， respectively） modified Xiehuangsan， with 12 rats in each group. Except the control group， the other groups received intraperitoneal injection of 3，3'-iminodipropionitrile （IDPN） for 7 consecutive days for the modeling of TD. After successful modeling， the control and model groups were given normal saline via gavage， and the other groups were administrated with corresponding drugs by gavage. After 28 days of continuous intervention， rat behaviors were observed， and the modified Xiehuangsan group showing the best anti-TD effect was selected for deciphering the treatment mechanism. Hematoxylin and eosin staining was conducted to observe morphological changes in the rat striatum. Immunohistochemistry was employed to detect the expression of CD16 and CD206 in the striatum. Real-time PCR was employed to measure the mRNA levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， IL-4， TLR4， MyD88， and NF-κB p65 in the striatum. Western blot was employed to determine the protein levels of ionized calcium-binding adapter molecule 1 （Iba1）， Fc receptor family for immunoglobulin （Ig）G type Ⅲ （CD16）， mannose receptor （CD206）， TLR4， MyD88， and NF-κB p65 in the striatum. ResultsCompared with the control group， the model group showed increased stereotyped behaviors， locomotor activity， total movement distance， and movement speed， shortened resting time （P<0.01）， and noticeable pathological changes in the striatum. Compared with the model group， the tiapride group and modified Xiehuangsan groups exhibited reduced stereotyped behavior， locomotor activity， total movement distance， and movement speed， prolonged resting time （P<0.05， P<0.01）， and alleviated pathological changes in the striatum. Among the modified Xiehuangsan groups， the high-dose group had the best intervention effect and the mildest pathological changes. Therefore， the high-dose group was selected for further research. Compared with the control group， the modeling of TD increased Iba1 and CD16 expression （P<0.05， P<0.01）， up-regulated the mRNA levels of IL-1β and TNF-α （P<0.05， P<0.01）， down-regulated the mRNA level of IL-4 （P<0.05）， up-regulated the mRNA and protein levels of TLR4 and MyD88 （P<0.05， P<0.01）， and up-regulated the protein level of NF-κB p65 （P<0.01）. Compared with the model group， modified Xiehuangsan reduced Iba1 and CD16 expression （P<0.05， P<0.01）， up-regulated the protein level of CD206 （P<0.05， P<0.01）， down-regulated the mRNA levels of IL-1β and TNF-α （P<0.05）， up-regulated the mRNA level of IL-4 （P<0.01）， and down-regulated the mRNA and protein levels of TLR4， MyD88， and NF-κB p65 （P<0.05， P<0.01）. ConclusionModified Xiehuangsan demonstrated a definite therapeutic effect on TD in rats. It may reduce neuroinflammation in TD rats by regulating the polarization of microglia in the striatum via the TLR4/MyD88/NF-κB signaling pathway.

OBJECTIVE To observe the effects of Modified shaoyao gancao decoction on intestinal transit function， intestinal flora and the contents of metabolites [γ aminobutyric acid （GABA） and 5-hydroxytryptamine （5-HT）] in slow transit constipation （STC） rats. METHODS SD rats were randomly divided into blank group （10 rats） and modeling group （30 rats）， with half male and half female. The STC model was established by intragastric administration of Compound diphenoxylate tablets in the modeling group. The successfully modeled rats were randomly divided into model group， Modified shaoyao gancao decoction group [56 g/（kg·d）， calculated by crude drug] and positive control group [lactulose 2.09 g/（kg·d）]， with 10 rats in each group. Each administration group was given relevant medicine intragastrically， the blank group and model group received an equivalent volume of normal saline， once a day， for 14 consecutive days. During the experiment， the general situation of rats was observed in each group. After the last medication， the body weight was measured， and the Bristol score was used to evaluate the fecal characteristics. The fecal moisture content， intestinal propulsion rate， and the contents of GABA and 5-HT in intestinal content were detected； the diversity of intestinal flora in intestinal contents was investigated， and the correlation between the contents of GABA， 5-HT and relative abundance of microbiota was analyzed. RESULTS Compared with the model group， general conditions such as small body shape， sparse and rough fur， and slow movement were all improved in Modified shaoyao gancao decoction body weight， Bristol score， fecal moisture content，intestinal propulsion rate， 5-HT content， Chao1 index and Shannon index were increased significantly， while GABA content and Simpson index were decreased significantly （P＜0.05）. The intestinal flora of rats in the Modified shaoyao gancao decoction group could be classified as the same as the blank group， but was far from the model group； the relative abundances of Desulfobacterota， Firmicutes and Bacteroidota in this group showed a tendency of pull back， but the differences were not statistically significant compared to model group （P＞0.05）. Desulfobacterota was an intergroup differential factor （P＜0.05）. The content of GABA was negatively correlated with the relative abundance of Bacteroidota， Cyanobacteria， Patescibacteria and Actinobacteriota （P＜0.05）. The content of 5-HT was positively correlated with the relative abundance of Campilobacterota （P＜0.05）. CONCLUSIONS Modified shaoyao gancao decoction can improve the fecal properties and intestinal motility of STC rats. Its mechanism may be related to improving intestinal flora and then affecting the contents of GABA and 5-HT in intestinal contents. In addition， the contents of GABA and 5-HT may be significantly correlated with the relative abundance of specific bacterial phyla such as Bacteroidota and Campilobacterota.

OBJECTIVE To observe the effects of Modified shaoyao gancao decoction on intestinal transit function， intestinal flora and the contents of metabolites [γ aminobutyric acid （GABA） and 5-hydroxytryptamine （5-HT）] in slow transit constipation （STC） rats. METHODS SD rats were randomly divided into blank group （10 rats） and modeling group （30 rats）， with half male and half female. The STC model was established by intragastric administration of Compound diphenoxylate tablets in the modeling group. The successfully modeled rats were randomly divided into model group， Modified shaoyao gancao decoction group [56 g/（kg·d）， calculated by crude drug] and positive control group [lactulose 2.09 g/（kg·d）]， with 10 rats in each group. Each administration group was given relevant medicine intragastrically， the blank group and model group received an equivalent volume of normal saline， once a day， for 14 consecutive days. During the experiment， the general situation of rats was observed in each group. After the last medication， the body weight was measured， and the Bristol score was used to evaluate the fecal characteristics. The fecal moisture content， intestinal propulsion rate， and the contents of GABA and 5-HT in intestinal content were detected； the diversity of intestinal flora in intestinal contents was investigated， and the correlation between the contents of GABA， 5-HT and relative abundance of microbiota was analyzed. RESULTS Compared with the model group， general conditions such as small body shape， sparse and rough fur， and slow movement were all improved in Modified shaoyao gancao decoction body weight， Bristol score， fecal moisture content，intestinal propulsion rate， 5-HT content， Chao1 index and Shannon index were increased significantly， while GABA content and Simpson index were decreased significantly （P＜0.05）. The intestinal flora of rats in the Modified shaoyao gancao decoction group could be classified as the same as the blank group， but was far from the model group； the relative abundances of Desulfobacterota， Firmicutes and Bacteroidota in this group showed a tendency of pull back， but the differences were not statistically significant compared to model group （P＞0.05）. Desulfobacterota was an intergroup differential factor （P＜0.05）. The content of GABA was negatively correlated with the relative abundance of Bacteroidota， Cyanobacteria， Patescibacteria and Actinobacteriota （P＜0.05）. The content of 5-HT was positively correlated with the relative abundance of Campilobacterota （P＜0.05）. CONCLUSIONS Modified shaoyao gancao decoction can improve the fecal properties and intestinal motility of STC rats. Its mechanism may be related to improving intestinal flora and then affecting the contents of GABA and 5-HT in intestinal contents. In addition， the contents of GABA and 5-HT may be significantly correlated with the relative abundance of specific bacterial phyla such as Bacteroidota and Campilobacterota.

BACKGROUND:Deep muscle stimulation has the effects of releasing muscle adhesion,relieving muscle spasm,improving and restoring muscle compliance and elasticity.Electromyographic biofeedback therapy can promote nerve recovery and improve lower limb motor function and gait. OBJECTIVE:To observe the effect of the effect of deep muscle stimulation combined with electromyographic biofeedback therapy on the spasm of the triceps surae and gait changes after stroke by using a digital muscle detector and three-dimensional gait analysis system. METHODS:A total of 72 patients who met the inclusion criteria were selected from the Rehabilitation Department of the First Affiliated Hospital of Guangdong Pharmaceutical University from October 2020 to October 2023.And they were enrolled and randomly divided into two groups(n=36 per group):a control group and a combined group.The control group received routine rehabilitation therapies,electromyographic biofeedback and pseudo deep muscle stimulation,while the combined group received true deep muscle stimulation treatment on the basis of the control group,five times per week,for 4 consecutive weeks.The oscillation frequency and dynamic stiffness of the affected gastrocnemius muscle,active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,Fugl-Meyer assessment of the lower limbs,and three-dimensional gait analysis parameters were statistically analyzed before and after treatment in two groups. RESULTS AND CONCLUSION:After treatment,oscillation frequency and dynamic stiffness values of the inner and outer sides of the affected gastrocnemius muscle in both groups of patients were significantly reduced compared with before treatment(P<0.05),and the combined group showed a more significant decrease compared with the control group(P<0.05).The active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,and Fugl-Meyer scores after treatment were significantly increased or improved compared with before treatment(P<0.05),while the combined group showed a more significant increase or improvement compared with the control group(P<0.05).In terms of gait parameters,the walking speed,frequency,and stride in both groups of patients were significantly increased compared with before treatment(P<0.05),while the combined group showed a more significant increase compared with the control group(P<0.05).The percentage time of support phase on the healthy side was shortened compared with before treatment(P<0.05),while the combined group showed a more significant decrease compared with the control group(P<0.05).In addition,there was no significant difference between the two groups except for the percentage of healthy side support(P>0.05).To conclude,the combination of deep muscle stimulation and electromyographic biofeedback can effectively alleviate triceps spasm in the short term after stroke,improve ankle dorsiflexion function,enhance lower limb motor function,and improve gait.The treatment effect is significant and worthy of clinical promotion and application.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Objective: To investigate the distribution characteristics and related factors of weight loss behavior among middle school students in Shanghai, so as to provide a reference for guiding scientific weight loss among middle school students. Methods: From May to June 2021, a stratified cluster random sampling method was used to select 16 758 junior and high school students in 16 districts of Shanghai. Youth Risk Behavior Surveillance System was administered to assess the basic condition and weight loss behaviors of the students. An unordered multinomial Logistic regression model was employed to analyze the factors associated with weight loss behaviors. Results: A total of 5 881 (35.09%) reported engaging in exercise for weight loss, 6 344 (37.86%) reported dieting for weight loss, and 461 (2.75%) engaged in unhealthy weight loss behaviors. The unordered multinomial Logistic regression analysis indicated that compared with the no weight loss behavior group, students from urban areas( OR =1.35,95% CI =1.10-1.66), those with Internet addiction ( OR =1.71,95% CI =1.23-2.38), those with victims of bullying ( OR =2.09, 95% CI =1.68-2.61), those experiencing insomnia ( OR =2.33,95% CI = 1.74-3.11), those feelings of sadness or despair ( OR =3.10, 95% CI =2.42- 3.97 ), and those who perceived their body weight as slightly heavy ( OR =2.77, 95% CI = 2.17-3.55) or very heavy ( OR =3.41, 95% CI =2.44-4.75) were more likely to engage in unhealthy weight loss behaviors ( P <0.05). Conclusions There are significant differences in weight loss behaviors among middle school students with varying characteristics in Shanghai. Negative emotions such as insomnia and feelings of sadness or despair, Internet addiction, cognitive bias in weight and experiences of bullying are identified as related factors for unhealthy weight loss behaviors. Targeted intervention measures should be implemented to guide students towards scientific approaches to weight management.