ObjectiveTo investigate the mechanism by which Gegen Qinliantang（GQT） improves skeletal muscle insulin resistance. MethodsThe db/m mice were used as the normal group， while db/db mice were assigned to a model group， low-dose （3.12 g·kg^-1）， medium-dose （6.24 g·kg^-1）， and high-dose （12.48 g·kg^-1） GQT groups， and a Western medicine group （semaglutide， 0.045 mg·kg^-1），n=6 in each group. All groups received corresponding interventions. Intraperitoneal glucose tolerance test （IPGTT）， intraperitoneal insulin tolerance test （IPITT）， and hematoxylin-eosin （HE） staining were used to evaluate insulin resistance and therapeutic efficacy. Serum lipid levels were measured using an automatic biochemical analyzer， and apoptosis in skeletal muscle was assessed via TUNEL assay. Transcriptome sequencing combined with gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses was performed to identify differentially expressed genes （DEGs）. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to validate gene expression. Molecular docking was applied to evaluate the binding patterns between active components of GQT and key regulatory genes to elucidate pharmacological mechanisms. ResultsCompared with the model group， the medium-dose and high-dose GQT groups showed significantly reduced fasting blood glucose （FBG） levels （P<0.01）. Triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） were markedly decreased （P<0.01）， while high-density lipoprotein cholesterol （HDL-C） was significantly increased （P<0.01）. IPGTT， IPITT， and HE staining demonstrated that GQT enhanced insulin sensitivity and restored skeletal muscle morphology. GQT also alleviated apoptosis in skeletal muscle tissue. Transcriptome analysis revealed that GQT primarily affected biological processes such as oxidative phosphorylation， metabolic pathways， cellular processes， and protein binding. Real-time PCR results showed that CBR2， CDK6， F830016B08Rik， IL-1β， Rab27b， and COLEC12 were key regulatory genes. Molecular docking demonstrated that CBR2， IL-1β， Rab27b， and COLEC12 formed stable binding with the main active components of GQT. The therapeutic effects of high- and medium-dose GQT were comparable to those of the semaglutide group. ConclusionGQT improves skeletal muscle insulin resistance， potentially by regulating apoptosis as part of its underlying biological mechanism.

ObjectiveTo explore the clinical application value of CIE 1976 L*a*b*（Lab） color space in the differential diagnosis of early esophageal cancer and non-cancerous lesions. MethodsWe selected the endoscopic images of patients with esophageal lesions confirmed by pathology who underwent white light imaging endoscopy （WLI） and narrow band imaging endoscopy （NBI）. Five regions of interest （ROI） were selected respectively from the mucosa of the lesion area and the mucosa of the surrounding normal area for labeling. The Lab color space parameters were extracted and counted， and the color difference values（ΔE*）were calculated. ResultsA total of 213 eligible patients were included for analysis in the study. In WLI and NBI modes， there were differences in mucosal color between the early esophageal cancer group and the non-cancer group （P<0.05）. Compared with WLI mode， NBI mode could significantly increase the color difference between early esophageal cancer and non-cancerous lesions （P<0.05）. The lightness component value （L* value） of the early esophageal cancer lesion area was lower than that of the non-cancerous lesion area， and this color difference was more significant in the NBI mode （P<0.05）. In WLI mode， there was no significant difference in yellow-blue component value （b* value） between the mucosa of early esophageal cancer and non-cancerous lesions. However， in the NBI mode， the b* value of the mucosa in the non-cancerous lesion area was higher than that in the early esophageal cancer lesion area （P<0.05）. On the red-green axis， the mucosa of the early esophageal cancer and non-cancerous lesions was red in WLI mode and green in NBI mode. There was no significant difference in red-green component value （a* value） between the two groups. ConclusionThere are color differences between early esophageal cancer and non-cancerous lesions under WLI and NBI. The color of early esophageal cancer is darker under WLI， and the color of non-cancerous lesions is yellower under non-magnified NBI mode. Lab color space is helpful to identify early esophageal cancer and non-cancerous lesions.

ObjectiveTo explore the latent profiles of sleep patterns and their association with gastrointestinal heat accumulation syndrome in preschool children in Beijing. MethodsA cross-sectional study design was adopted， and preschool children were recruited from 57 kindergartens in Beijing using convenience sampling. Sleep characteristics and gastrointestinal heat accumulation syndrome was assessed using the Chinese version of the Sleep Disturbance Scale for Children （SDSC） and Self-rating Diagnostic Scale for Gastrointestinal Heat Retention Syndrome in children （GHRS）. Latent profile analysis （LPA） was applied to identify distinct sleep-related subgroups， and multivariate logistic regression was used to analyze the association between different sleep profiles and gastrointestinal heat accumulation syndrome. ResultsA total of 6878 preschool children were included in the study. Among them， 3.46% of the children （238/6878） had sleep disorders， while 54.42% （3743/6878） had gastrointestinal heat accumulation. Compared to children without gastrointestinal heat accumulation syndrome， those with this syndrome exhibited a higher prevalence of sleep disorders， higher SDSC scores， higher T-transformed total scores， and higher scores across all dimensions， including disorders of initiating sleep， disorders of maintaining sleep， sleep hyperhidrosis， sleep breathing disorders， parasomnias， nonrestorative sleep and excessive somnolence （P＜0.01）. Latent profile analysis identified four distinct sleep characteristic profiles， which were the mixed high-symptom group （32.39%， 2228/6878）， sleep initiation and maintenance difficulty symptom group （49.07%， 3375/6878）， low-symptom group （14.19%， 976/6878）， and the group with no significant symptoms （4.35%， 299/6878）. Multivariate logistic regression analysis demonstrated that the mixed high-symptom group， sleep initiation and maintenance difficulty symptom group， and low-symptom group were significantly associated with gastrointestinal heat accumulation syndrome. Among them， the mixed high-symptom group had the most significant association with gastrointestinal heat accumulation （OR=12.657， P＜0.001）， followed by the sleep initiation and maintenance difficulty symptom group （OR=4.964， P＜0.001）. ConclusionSleep characteristics in preschool children mainly present as composite patterns with different symptom combinations. Moreover， the sleep latent profiles of the mixed high-symptom group， the sleep initiation and maintenance difficulty symptom group， and the low-symptom group were significantly associated with gastrointestinal heat accumulation syndrome.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such as heart failure, severe anemia, etc. Applying a deep learning method to plasma images significantly improves recognition accuracy, so that this paper proposes a plasma quality detection model based on improved "You Only Look Once" 5th version (YOLOv5). Then the model presented in this paper and the evaluation system ‌were introduced‌ into the plasma datasets, and ‌the average accuracy of the final classification reached 98.7%‌. The results of this paper's experiment were obtained through the combination of several key algorithm modules including‌ omni-dimensional dynamic convolution, pooling with separable kernel attention, residual bi-fusion feature pyramid network, ‌and‌ re-parameterization convolution. The method of this paper‌ obtains the feature information of spatial mapping efficiently, and enhances the average recognition accuracy of plasma quality detection. This paper presents a high-efficiency detection method for plasma images, aiming to provide a practical approach to prevent hemolysis illnesses caused by external factors.
Algorithms ; Humans ; Hemolysis ; Plasma ; Deep Learning ; Image Processing, Computer-Assisted/methods*

Objective To prepare Xuanyang Jiedu cream and to study its pharmacodynamics.Methods The herbal decoction process of Xuanyang Jiedu cream was optimized by orthogonal design method.The prescription of the cream preparation was screened according to the external properties,malleability and stability of cream.Forty normal guinea pig were randomly divided into four groups(10 in each group):blank group,model group,ketoconazole cream group,and Xuanyang Jiedu cream group.The guinea pig model of tinea corporis was established to investigate the efficacy of Xuanyang Jiedu cream in the treatment of superficial fungal disease.Results The optimal extraction conditions were 3 extractions,water added for 20 times,and 1.5 h of extraction time.The number of extractions and the amount of water significantly affected on the extraction process of the liquid extract.The optimized Xuanyang Jiedu cream looked smooth and creamy,with moderate viscosity and good stabilities of centrifuge,cold and heat resistance.After 14 d treatment,there were still obvious erythema,scales and papules on the lesions in the model group.The scores of erythema,scales and papules in the Xuanyang Jiedu cream group and the ketoconazole cream group were lower than those in the model group(P<0.05).Conclusion Xuanyang Jiedu cream has antifungal activity and may be a new treatment for skin superficial mycosis.

Diabetic cardiomyopathy （DCM）， a cardiovascular complication caused by diabetes mellitus， is a major cause of heart failure and even sudden cardiac death in diabetic patients. Traditional Chinese medicine （TCM） posits that the core pathogenesis of DCM lies in internal deficiency and superficial excess， characterized by deficiency of both Qi and Yin combined with phlegm and blood stasis. Modern medical treatments for DCM primarily focus on blood glucose control and symptom alleviation yet lack targeted therapeutic strategies. In contrast， TCM offers a wealth of practical experience and a complete theoretical system， demonstrating definite clinical efficacy and high medication safety in DCM management. As a classic formula for tonifying Qi and nourishing Yin， Shengmaisan comprises Ginseng Radix et Rhizoma， Ophiopogonis Radix， and Schisandrae Chinensis Fructus. It contains multiple bioactive components， including ginsenosides， ophiopogonin， schisandrins， and homoisoflavonoids， which exhibit cardioprotective properties. The therapeutic mechanisms of Shengmaisan-like formulae for DCM involve enhancing myocardial contractility， attenuating myocardial fibrosis， modulating mitochondrial quality control， regulating glucose metabolism， mitigating oxidative stress， and suppressing inflammatory responses. Clinically， Shengmaisan-like formulae not only manage hyperglycemic status but also ameliorate cardiac structural and functional impairments and enhance exercise tolerance in DCM patients， playing a vital role in the prevention， treatment， and rehabilitation of DCM. This paper analyzes the feasibility of Shengmaisan-like formulae in DCM management and synthesizes current research achievements regarding their chemical components， mechanisms of action， and clinical applications， aiming to provide a scientific foundation for the use of such formulae in the treatment of DCM.

Objective:To investigate the effect and underlying mechanism of sonodynamic therapy (SDT) on inflammation-related atrial fibrillation (AF) susceptibility.Methods:Lipopolysaccharide (LPS)-stimulated mouse and HL-1 mouse atrial myocyte models were used. (1) In vivo study: experimental groups included control, LPS, LPS+SDT, and SDT groups, with 20 mice in each group. Atrial fibrillation inducibility and duration were assessed by electrical stimulation. Western blot was used to analyze atrial expression of NOD-like receptor family pyrin domain-containing protein 3 (NLRP3), interleukin (IL)-1β, and IL-18. Immunohistochemistry was used to detect calcium voltage-gated channel subunit alpha1 C (CACNA1C) expression. (2) In vitro study: cell counting kit-8 (CCK-8) and Western blot were used to determine the optimal and safe LPS concentration. The safe incubation condition for the sonosensitizer sinoporphyrin sodium was determined by CCK-8 and fluorometry. An LPS-induced inflammatory model in HL-1 atrial myocytes was used, with experimental groups including control, LPS, LPS+SDT, LPS+sinoporphyrin sodium, and LPS+ultrasound groups. NLRP3 was overexpressed using plasmid transfection, with experimental groups including control, NLRP3 plasmid, negative control plasmid, and NLRP3 plasmid+SDT groups. SDT was applied to LPS-stimulated or NLRP3-overexpressing HL-1 cells. Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot were used to measure mRNA and protein levels of NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), Cleaved Caspase-1, IL-1β, IL-18, and CACNA1C. The NLRP3 inhibitor MCC950 was used to validate the relationship of NLRP3 and CACNA1C. The experimental groups included control, LPS, LPS+MCC950, and MCC950 groups. Intracellular reactive oxygen species (ROS) levels were detected using the probe DCFH-DA, and the ROS scavenger N-acetyl-L-cysteine (NAC) was used to test if the effects of SDT was ROS-dependent.Results:(1) In vivo: The LPS+SDT group exhibited a lower incidence of atrial fibrillation induction and a shorter duration of atrial fibrillation compared to the LPS group(both P<0.05). Protein expression levels of NLRP3 and IL-1β were lower than those in the LPS group (all P<0.05), while the expression of CACNA1C subunit tended to increase relative to the LPS group ( P>0.05). (2) In vitro: The safe concentration of LPS for administration was ≤20 μg/ml, with an optimal pro-inflammatory concentration of 4 μg/ml. The safe concentration of sinoporphyrin sodium for administration was 0.4 μmol/L, with an optimal incubation time of 4 hours. Compared to the LPS group or NLRP3 plasmid group, the LPS+SDT group or NLRP3 plasmid+SDT group exhibited lower expression levels of NLRP3, ASC, Cleaved Caspase-1, IL-1β, and IL-18, and higher mRNA and protein levels of CACNA1C (all P<0.05). The LPS+MCC950 group had higher CACNA1C protein expression than the LPS group ( P<0.05). SDT increased intracellular ROS levels, and NAC blocked the regulatory effects of SDT on NLRP3 and CACNA1C. Conclusion:SDT reduces atrial fibrillation susceptibility in mice by inhibiting NLRP3 inflammasome activation in atrial cardiomyocytes, thereby upregulating the L-type calcium channel subunit CACNA1C.

OBJECTIVE To investigate the in vitro antitumor activity and in vivo targeting of nanopolymers co-loaded with arse-nic trioxide(ATO),an active ingredient of traditional Chinese medicine arsenic,and photosensitizer(IR780)to activate the patient's own immune system in the treatment of brain glioma in synergistically with chemotherapy and phototherapy.METHODS PLGA/AI containing ATO and IR780 was prepared by volatilization with multiple emulsion solvent.The particle size,potential and polydispersity index(PDI)were determined by dynamic light scatterometer(DLS)at different feed ratios.Transmission electron microscopy(TEM)was used to detect the morphology of PLGA/AI.Fluorescence spectrophotometer was used to investigate the spectroscopic characteris-tics.UV-vis spectrophotometer was used to determine the drug loading and encapsulation rate of IR780.Under laser irradiation,the physiological release of ATO was measured by dialysis bag method.The uptake of PLGA/AI in GL261 cells was photographed by confo-cal microscopy(CLSM).The cell uptake mechanism of PLGA/AI was investigated by flow cytometry(FCM).3D tumor spheroid mod-el was constructed to simulate the deep penetration of PLGA/AI in solid tumors.The synergistic anti-tumor effects of PLGA/AI in vitro were studied by MTT assay and dying staining.DCFH-DA staining and FCM determination of the co-expression of CD80 CD86 co-stimulatory molecules verified the immune activation induced by PLGA/AI in vitro photochemotherapy.The in vivo targeting of PLGA/AI and the tissue distribution of the main organs were investigated by means of in vivo imaging of small animals after tail vein injection.RESULTS The optimal ratio of ATO to IR780 was 1∶10,its particle size was(134.11±2.19)nm,Zeta potential was(-7.02±0.649)mV,PDI was 0.254±0.059,and it was a uniform spherical shape under TEM.The fluorescence spectra showed that IR780 was successfully loaded onto PLGA,and the drug loading and encapsulation rate of IR780 in PLGA/AI were(2.53±0.02)%and(71.26±0.38)%respectively.The results of in vitro release experiments showed that ATO could be released in response to laser light by IR780-mediated photo-dynamics.Cell uptake experiments showed that the nano-polymer could effectively enter tumor cells under clathrin-mediated endocytosis.In vitro investigation of cell viability,ROS detection and dendritic cell maturation experiment showed that it could effectively kill tumor cells by inducing a large amount of ROS to generate and activate immune cells.In vivo targe-ting and biological distribution study confirmed that PLGA/AI could effectively penetrate BBB into tumor sites.CONCLUSION The active ingredients of traditional Chinese medicine arsenic,ATO and IR780,use PLGA as carriers to form nano-polymers through the volatilization of multiple emulsion solvents,which can cross the BBB and effectively accumulate at the tumor site.Based on"strengthe-ning the healthy qi and eliminating pathogenic factors"and combined with chemotherapy and photo-immune activation,it has the po-tential for long-term anti-glioblastoma treatment.

Calcification of bioprosthetic valve materials remains a major issue affecting the long-term survival of patients after heart valve replacement. The classic glutaraldehyde cross-linking technology has problems such as aldehyde toxicity, inflammatory response, and calcium salt deposition, which easily lead to valve calcification and deterioration. Moreover, the loss of glycosaminoglycan is also a cause of the deterioration of bioprosthetic valve materials. This article elaborates on the progress in the calcification mechanism of bioprosthetic valves and the 1, 4- Butanediol diglycidyl ether (BDDE) cross-linking technology in enhancing the enzyme resistance of hyaluronic acid and inhibiting the calcification process.