Inflammatory bowel disease is a chronic, idiopathic, and recurrent gastrointestinal disorder with an unclear etiology and uncertain pathogenesis. Traditional treatment strategies rely on frequent administration of high doses of medication to reduce inflammation, whereas these approaches have limitations and may induce potential complications. Therefore, finding more effective and safe therapeutic drugs and methods is particularly important. Plant-derived exosome-like nanovesicles(PDELNs) are nano-sized vesicles with a lipid bilayer structure that are secreted by plant cells. The bioactive molecules contained within, such as lipids, proteins, and nucleic acids, can serve as information carriers, playing a role in the transmission of information and substances between cells and across species. PDELNs can carry and transfer their own bioactive substances or act as carriers for delivering other active components or drugs. Due to the high biocompatibility, low toxicity, and significant bioactivity, PDELNs have garnered widespread attention. Compared with other exosomes, PDELNs are not destroyed in the gastrointestinal tract when taken orally and can reach the intestines. This unique property makes PDELNs a promising oral nanodrug for treating intestinal diseases, showing great potential in this area. This article reviews recent research literature on PDELNs regarding the physicochemical characteristics, extraction and purification methods, functions, application characteristics and mechanisms in the treatment of intestinal diseases, and use as a carrier for treating intestinal diseases, aiming to provide a reference for the use of PDELNs in the treatment of intestinal diseases.
Humans ; Exosomes/metabolism* ; Animals ; Intestinal Diseases/metabolism* ; Plants/metabolism* ; Drug Carriers/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Drug Delivery Systems ; Nanoparticles/chemistry*

The quality of traditional Chinese medicine(TCM) is a critical foundation for ensuring the stability of its efficacy, as well as the safety and effectiveness of its clinical use. The identification of critical quality attributes(CQAs) is one of the core components of TCM preparation quality control. This study focuses on Jianwei Xiaoshi Tablets and explores their CQAs related to property and flavor from the perspective of taste receptor proteins. Three taste receptor proteins, T1R2, T1R3, and TRPV1, were selected, and a biosensor based on high-electron-mobility transistor(HEMT) was constructed to detect the interactions between Jianwei Xiaoshi Tablets and taste receptor proteins. Simultaneously, liquid chromatography-mass spectrometry(LC-MS) technology was used to analyze the chemical composition of Jianwei Xiaoshi Tablets. In examining the interaction strength, the results indicated that the interaction between Jianwei Xiaoshi Tablets and TRPV1 protein was the strongest, followed by T1R3, with the interaction with T1R2 being relatively weaker. By combining biosensing technology with LC-MS, 16 chemical components were identified from Jianwei Xiaoshi Tablets, among which six were selected as CQAs for sweetness and seven for pungency. Further validation experiments demonstrated that CQAs such as hesperidin and hesperetin had strong interactions with their corresponding taste receptor proteins. Through the combined use of multiple technological approaches, this study successfully determined the property and flavor-related CQAs of Jianwei Xiaoshi Tablets. It provides novel ideas and approach for the identification of CQAs in TCM preparations and offers comprehensive theoretical support for TCM quality control, contributing to the improvement and development of TCM preparation quality control systems.
Drugs, Chinese Herbal/chemistry* ; Biosensing Techniques/methods* ; TRPV Cation Channels/chemistry* ; Tablets/chemistry* ; Receptors, G-Protein-Coupled/genetics* ; Quality Control ; Taste ; Humans ; Mass Spectrometry

OBJECTIVES: To assess the regulatory effect of cannabidiol (CBD) on circadian rhythm sleep disorders following general anesthesia and explore its potential mechanism in a rat model of propofol-induced rhythm sleep disorder. METHODS: An electrode was embedded in the skull for cortical EEG recording in 24 male SD rats, which were randomized into control, propofol, CBD treatment, and diazepam treatment groups (n=6). Eight days later, a single dose of propofol (10 mg/kg) was injected via the tail vein with anesthesia maintenance for 3 h in the latter 3 groups, and daily treatment with saline, CBD or diazepam was administered via gavage; the control rats received only saline injection. A wireless system was used for collecting EEG, EMG, and body temperature data within 72 h after propofol injection. After data collection, blood samples and hypothalamic tissue samples were collected for determining serum levels of oxidative stress markers and hypothalamic expressions of the key clock proteins. RESULTS: Compared with the control rats, the rats with CBD treatment showed significantly increased sleep time at night (20:00-6:00), especially during the time period of 4:00-6:00 am. Compared with the rats in propofol group, which had prolonged SWS time and increased sleep episodes during 18:00-24:00 and sleep-wake transitions, the CBD-treated rats exhibited a significant reduction of SWS time and fewer SWS-to-active-awake transitions with increased SWS aspects and sleep-wake transitions at night (24:00-08:00). Diazepam treatment produced similar effect to CBD but with a weaker effect on sleep-wake transitions. Propofol caused significant changes in protein expressions and redox state, which were effectively reversed by CBD treatment. CONCLUSIONS CBD can improve sleep structure and circadian rhythm in rats with propofol-induced sleep disorder possibly by regulating hypothalamic expressions of the key circadian clock proteins, suggesting a new treatment option for perioperative sleep disorders.
Animals ; Rats, Sprague-Dawley ; Male ; Cannabidiol/therapeutic use* ; Rats ; Circadian Rhythm/drug effects* ; Propofol/adverse effects* ; Anesthesia, General/adverse effects* ; Sleep Wake Disorders/chemically induced* ; Hypothalamus/metabolism* ; Electroencephalography

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks

OBJECTIVE: To investigate the association between long-term glycemic control and cerebral infarction risk in patients with diabetes through a large-scale cohort study. METHODS: This prospective, community-based cohort study included 12,054 patients with diabetes. From 2006 to 2012, 38,272 fasting blood glucose (FBG) measurements were obtained from these participants. FBG trajectory patterns were generated using latent mixture modelling. Cox proportional hazards models were applied to assess the subsequent risk of cerebral infarction associated with different FBG trajectory patterns. RESULTS: At baseline, the mean age of the participants was 55.2 years. Four distinct FBG trajectories were identified based on FBG concentrations and their changes over the 6-year follow-up period. After a median follow-up of 6.9 years, 786 cerebral infarction events were recorded. Different trajectory patterns were associated with significantly varied outcome risks (Log-Rank P < 0.001). Compared with the low-stability group, Hazard Ratio ( HR) adjusted for potential confounders were 1.37 for the moderate-increasing group, 1.23 for the elevated-decreasing group, and 2.08 for the elevated-stable group. CONCLUSION Sustained high FBG levels were found to play a critical role in the development of ischemic stroke among patients with diabetes. Controlling FBG levels may reduce the risk of cerebral infarction.
Humans ; Cerebral Infarction/blood* ; Middle Aged ; Male ; Female ; Blood Glucose/analysis* ; Fasting/blood* ; Aged ; Prospective Studies ; Risk Factors ; Diabetes Mellitus/blood* ; Adult ; Proportional Hazards Models

Artificial chord is a mature mitral valve repair technique, especially in adult mitral valve repair. It is still challenging to repair mitral valve in children with artificial chords because the quality of mitral valve is soft and immature. There are some differences in the methods of suture, the choice of suture size and the number of artificial chords. Although the artificial chords could not grow naturally, we found through the long-term research that most children did not have mitral valve restriction or even chords rupture due to itself can compensate through the growth of the flap and papillary muscle. This article summarizes the recent research progress on the treatment of mitral valve insufficiency in children with artificial chords, providing reference for clinical treatment.

To study the correlation between the level of Bordetella pertussis nucleic acid and clinical features of the disease in infants and young children and to investigate the risk factors for the development of severe pertussis. Using retrospective research methods, children aged 1 month-3 years who came to Hunan Children′s Hospital from August 2023 to February 2024 and were diagnosed with pertussis for analysis. According to the logarithmic value of BP-DNA (log 10 copies/ml), 35 cases were divided into the low load group, 78 cases were divided into the medium load group and 94 cases were divided into the high load group; 54 cases were divided into the severe whooping cough group and 153 cases were divided into the general group according to the severity of the disease; the clinical characteristics and laboratory data of the groups were compared, and the risk factors for the occurrence of severe whooping cough were analyzed at the same time. The ROC was used to evaluate the predictive efficacy of BP-DNA and WBC count for the development of severe pertussis. The results showed that in the high-dose group, the WBC count(22.59×10 9/L), L/N ratio(3.31), and hospitalization days(9.0 d) were significantly higher than those in the medium-dose group and low-dose group ( F=6.309, 2.825, 15.149, all P<0.05). The hospitalization rate (100%), combined infection rate (64.96%), incidence of severe whooping cough (31.9%), pyrexia rate (29.8%), and corticosteroid use rate (57.4%) were also significantly higher than the other two groups ( χ2=25.977, 9.163, 9.371, 8.299, 20.332, all P<0.05), and the complete immunity rate (9.6%) was significantly lower than the other two groups ( χ2=11.632, P<0.05). Compared with the group of common whooping cough, the proportion of children under 1 year old (100%, χ2=9.581), the BP-DNA load (6.56 log 10 copies/ml, Z=4.004), the WBC count(31.34×10 9/L, t=7.513), the PCT level(0.07 ng/ml, Z=2.626), the IL-6 level (6.65 ng/ml, Z=4.336), the combined infection rate (88.9%, χ2=36.536), the incidence of wheezing or dyspnea (55.6%, χ2=42.972), the rate of no improvement of symptoms with macrolides prior to the visit (77.8%, χ2=26.266), and the incidence of fever (55.6%, χ2=42.972) were all significantly higher;the complete immunity rate was significantly lower (5.6%, χ2=9.581) in the severe whooping cough group, the differences were all statistically significant(all P<0.05).The result of logistic regression analysis showed severe elevation of BP-DNA, high leukocyte count, co-infection, wheezing or shortness of breath, pyrexia and no improvement of symptoms with macrolides before the treatment were the risk factors for the development of severe pertussis and the logistic regressive model predicts a sensitivity and specificity of 0.83 and 0.90 for severe whooping cough, respectively. The sensitivity of BP-DNA>1.91×10 6 copies/ml, WBC count >19.97×10 9/L and the binominal combined test to predict the occurrence of severe pertussis were 0.87, 0.61 and 0.80, and the specificity were 0.43, 0.86 and 0.73, respectively. In conclusion, nucleic acid load in infants with pertussis correlated with clinical characteristics such as the active immunity status, fever, co-infections and hospitalisation and days in hospital. Children with high nucleic acid load, high white blood cell counts, co-infections, fever and no improvement of symptoms with macrolides prior to seeing a doctor were more likely to develop the severe pertussis. When BP-DNA >1.91×10 6 copies/ml or WBC counts>19.97×10 9/L, they have the highest predictive efficacy for severe pertussis respectively, and combined detection is better.

Objective:To understand the clinical characteristics of novel coronavirus reinfection and explore the risk factors of novel coronavirus reinfection.Methods:The clinical data of 340 patients with novel coronavirus infection who were admitted to the Fever Clinic of Beijing Traditional Chinese Medicine, Capital Medical University from December 2022 to January 2023 were included. The general characteristics, basic diseases, clinical symptoms, and examination results of the first and second infections in the non repeated infection group, the repeated infection group, and the repeated infection group were compared. Binary logistic multivariate analysis was used to explore the risk factors of novel coronavirus reinfection.Results:In this study, 340 patients with novel coronavirus infection were included, 180 of whom were repeatedly infected. There was no statistically significant difference (all P>0.05) in terms of gender, age, body mass index (BMI), exercise, smoking, daily routine, and underlying disease between the recurrent infection group and the non recurrent infection group. However, the vaccination rate of the recurrent infection group was lower than that of the non recurrent infection group [80.0%(144/180) vs 88.0%(142/169), P<0.05]; In the repeated infection group, 157 cases (87.2%) were accompanied by overall discomfort (including headache, fatigue, muscle and joint pain), which was significantly higher than 122 cases (76.2%) in the non repeated infection group. The proportion of pneumonia occurring during the first infection was higher than that in the non repeated infection group [15.6%(28/180)], and the difference was statistically significant ( P<0.05). The interval between the first and second infections in the repeated infection group was (166.2±8.3)days. Cough and phlegm were the main clinical manifestations of two infections; The duration of re infection was shorter than that of the first infection [(7.03±2.30)days vs (8.94±3.02)days, t=6.739, P<0.001]; Secondary infections had less incidence of pneumonia [5.0%(9/180) vs 15.6%(28/180), χ 2=10.874, P=0.001]; 153 patients (85.0%) reported milder secondary infections. The results of binary logistic regression showed that cough, expectoration, body discomfort and pneumonia during the first infection were risk factors for repeated infection of novel coronavirus ( OR=2.710, 2.293, 2.808, P<0.05), and vaccination was a protective factor to avoid repeated infection ( OR=0.470, P=0.019). Conclusions:The symptoms of novel coronavirus reinfection are generally mild and the course of disease is relatively short. For vulnerable people, novel coronavirus vaccine should be actively inoculated to strengthen protection.