Objective: To study the association between ankyloglossia and sagittal mandibular development impairment as well as lower anterior dental crowding, providing a reference for clinical practice. Methods: This study was approved by the hospital's Medical Ethics Committee. A total of 100 patients aged 7-13 years were enrolled from January 2024 to January 2025, comprising 50 patients with ankyloglossia (case group) and 50 individuals with a healthy lingual frenulum (normal group). Clinical examination was performed to assess lingual frenulum length, Kotlow classification, and the simplified Hazelbaker assessment tool for lingual frenulum function (HATLFF) score. Cephalometric radiographs were used to measure the A-point-nasion-B-point (ANB) angle, sella-nasion-B-point (SNB) angle, and mandibular total length (condylion-gnathion [Co-Gn]). Dental cast analysis was conducted to evaluate lower anterior teeth crowding. Data were compared between the two groups. Pearson correlation analysis was used to examine the relationships between the lingual frenulum length, simplified HATLFF score, and cephalometric/dental cast parameters (ANB, SNB, Co-Gn, lower anterior crowding). The diagnostic value of ankyloglossia for mandibular development and lower anterior crowding was analyzed using receiver operating characteristic (ROC) curves. Results: Ankyloglossia was significantly associated with mandibular development and lower anterior crowding (P<0.05). The case group showed significantly lower values for the lingual frenulum length, simplified HATLFF score, SNB angle, and Co-Gn, while the ANB angle and lower anterior crowding index were significantly higher compared to the normal group (P<0.05). The lingual frenulum length and simplified HATLFF score were negatively correlated with the ANB angle and lower anterior crowding index, and positively correlated with the SNB angle and Co-Gn (P<0.05). ROC curve analysis indicated that the area under the curve (AUC) for the simplified HATLFF score, and ankyloglossia in predicting mandibular development deficiency and lower anterior crowding was greater than 0.700, demonstrating good diagnostic value. Conclusion A significant correlation exists between ankyloglossia and both mandibular development deficiency and lower anterior crowding.

This study aims to explore the effects and mechanisms of the traditional Chinese medicine Cordyceps sinensis(CS) in ameliorating heart aging and injury in mice based on animal experiments and network pharmacology. A mouse model of heart aging was established by continuously subcutaneous injection of D-galactose(D-gal). Thirty mice were randomly assigned into a normal group, a model group, a low-dose CS(CS-L) group, a high-dose CS(CS-H) group, and a vitamin E(VE) group. Mice in these groups were administrated with normal saline, different doses of CS suspension, or VE suspension via gavage daily. After 60 days of treatment with D-gal and various drugs, all mice were euthanized, and blood and heart tissue samples were collected for determination of the indicators related to heart aging and injury in mice. Experimental results showed that both high and low doses of CS and VE ameliorated the aging phenotype, improved the heart index and myocardial enzyme spectrum, restored the expression levels of proteins associated with cell cycle arrest and senescence-associated secretory phenotypes(SASP), and alleviated the fibrosis and histopathological changes of the heart tissue in model mice. From the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),259 active ingredients of CS were retrieved. From Gene Cards and OMIM, 2 568 targets related to heart aging were identified, and 133common targets shared by CS and heart aging were obtained. The Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes( KEGG) pathway enrichment revealed that the pathways related to heart aging involved oxidative stress,apoptosis, inflammation-related signaling pathways, etc. The animal experiment results showed that both high and low doses of CS and VE ameliorated oxidative stress and apoptosis in the heart tissue to varying degrees in model mice. Additionally, CS-H and VE activated the nuclear factor E2-related factor 2(Nrf2)/heme oxygenase-1(HO-1) pathway and inhibited the expression of key proteins in the nuclear factor-κB(NF-κB) pathway in the heart tissue of model mice. In conclusion, this study demonstrated based on network pharmacology and animal experiments that CS may alleviate heart aging and injury in aging mice by reducing oxidative stress,apoptosis, and inflammation in the heart via the Nrf2/HO-1/NF-κB pathway.
Animals ; Cordyceps/chemistry* ; Mice ; NF-E2-Related Factor 2/genetics* ; NF-kappa B/genetics* ; Aging/genetics* ; Male ; Signal Transduction/drug effects* ; Network Pharmacology ; Drugs, Chinese Herbal/pharmacology* ; Heme Oxygenase-1/genetics* ; Heart/drug effects* ; Humans ; Myocardium/metabolism* ; Membrane Proteins/genetics*

This study aimed to investigate the effect of Dahuang Zhechong Pills(DHZCP) in delaying heart aging(HA) and explore the potential mechanism. Network pharmacology and molecular docking were employed to explore the targets and potential mechanisms of DHZCP in delaying HA. Furthermore, in vitro experiments were conducted with the DHZCP-containing serum to verify key targets and pathways in D-galactose(D-gal)-induced aging of cardiomyocytes. Active components of DHZCP were searched against the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCSMP), and relevant targets were predicted. HA-related targets were screened from the GeneCards, Online Mendelian Inheritance in Man(OMIM), and DisGeNET. The common targets shared by the active components of DHZCP and HA were used to construct a protein-protein interaction network in STRING 12.0, and core targets were screened based on degree in Cytoscape 3.9.1. Metaspace was used for Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses of the core targets to predict the mechanisms. Molecular docking was performed in AutoDock Vina. The results indicated that a total of 774 targets of the active components of DHZCP and 4 520 targets related to HA were screened out, including 510 common targets. Core targets included B-cell lymphoma 2(BCL-2), serine/threonine kinase 1(AKT1), and hypoxia-inducible factor 1 subunit A(HIF1A). The GO and KEGG enrichment analyses suggested that DHZCP mainly exerted its effects via the phosphatidylinositol 3-kinase(PI3K)/AKT signaling pathway, HIF-1α signaling pathway, longevity signaling pathway, and apoptosis signaling pathway. Among the pathways predicted by GO and KEGG enrichment analyses, the PI3K/AKT/HIF-1α signaling pathway was selected for verification. The cell-counting kit 8(CCK-8) assay showed that D-gal significantly inhibited the proliferation of H9c2 cells, while DHZCP-containing serum increased the viability of H9c2 cells. SA-β-gal staining revealed a significant increase in the number of blue-green positive cells in the D-gal group, which was reduced by DHZCP-containing serum. TUNEL staining showed that DHZCP-containing serum decreased the number of apoptotic cells. After treatment with DHZCP-containing serum, the protein levels of Klotho, BCL-2, p-PI3K/PI3K, p-AKT1/AKT1, and HIF-1α were up-regulated, while those of P21, P16, BCL-2 associated X protein(Bax), and cleaved caspase-3 were down-regulated. The results indicated that DHZCP delayed HA via multiple components, targets, and pathways. Specifically, DHZCP may delay HA by reducing apoptosis via activating the PI3K/AKT/HIF-1α signaling pathway.
Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Signal Transduction/drug effects* ; Apoptosis/drug effects* ; Myocytes, Cardiac/cytology* ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Phosphatidylinositol 3-Kinases/genetics* ; Animals ; Rats ; Humans ; Molecular Docking Simulation ; Aging/metabolism* ; Protein Interaction Maps/drug effects* ; Heart/drug effects* ; Network Pharmacology

OBJECTIVES: To investigate the effect of interferon-λ1 (IFN-λ1) on glucocorticoid (GC) resistance in human bronchial epithelial cells (HBECs) stimulated by respiratory syncytial virus (RSV). METHODS: HBECs were divided into five groups: control, dexamethasone, IFN-λ1, RSV, and RSV+IFN-λ1. CCK-8 assay was used to measure the effect of different concentrations of IFN-λ1 on the viability of HBECs, and the sensitivity of HBECs to dexamethasone was measured in each group. Quantitative real-time PCR was used to measure the mRNA expression levels of p38 mitogen-activated protein kinase (p38 MAPK), glucocorticoid receptor (GR), and MAPK phosphatase-1 (MKP-1). Western blot was used to measure the protein expression level of GR in cell nucleus and cytoplasm, and the nuclear/cytoplasmic ratio of GR was calculated. RESULTS: At 24 and 72 hours, the proliferation activity of HBECs increased with the increase in IFN-λ1 concentration in a dose- and time-dependent manner (P˂0.05). Compared with the RSV group, the RSV+IFN-λ1 group had significant reductions in the half-maximal inhibitory concentration of dexamethasone and the mRNA expression level of p38 MAPK (P<0.05), as well as significant increases in the mRNA expression levels of GR and MKP-1, the level of GR in cell nucleus and cytoplasm, and the nuclear/cytoplasmic GR ratio (P<0.05). CONCLUSIONS IFN-λ1 can inhibit the p38 MAPK pathway by upregulating MKP-1, promote the nuclear translocation of GR, and thus ameliorate GC resistance in HBECs.
Humans ; p38 Mitogen-Activated Protein Kinases/genetics* ; Glucocorticoids/pharmacology* ; Receptors, Glucocorticoid/analysis* ; Dual Specificity Phosphatase 1/physiology* ; Dexamethasone/pharmacology* ; Drug Resistance/drug effects* ; Respiratory Syncytial Viruses ; Interferons/pharmacology* ; MAP Kinase Signaling System/drug effects* ; Epithelial Cells/drug effects* ; Signal Transduction/drug effects* ; Cells, Cultured

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

OBJECTIVE: To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance. METHODS: A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument. Color and texture features from various parts of facial and tongue images were extracted using Face Diagnosis Analysis System (FDAS) and Tongue Diagnosis Analysis System version 2.0 (TDAS v2.0). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for feature selection. Ten machine learning models and one deep learning model (ResNet50V2 + Conv1D) were developed and evaluated. RESULTS: Anemic women showed lower a-values, higher L- and b-values across all age groups. Texture features analysis showed that women aged 30-39 with anemia had higher angular second moment (ASM)and lower entropy (ENT) values in facial images, while those aged 40-49 had lower contrast (CON), ENT, and MEAN values in tongue images but higher ASM. Anemic women exhibited age-related trends similar to healthy women, with decreasing L-values and increasing a-, b-, and ASM-values. LASSO identified 19 key features from 62. Among classifiers, the Artificial Neural Network (ANN) model achieved the best performance [area under the curve (AUC): 0.849, accuracy: 0.781]. The ResNet50V2 model achieved comparable results [AUC: 0.846, accuracy: 0.818]. CONCLUSION Differences in facial and tongue images suggest that color and texture features can serve as potential TCM phenotype and auxiliary diagnostic indicators for female anemia.
Humans ; Female ; Tongue/diagnostic imaging* ; Adult ; Anemia/diagnosis* ; Middle Aged ; Face/diagnostic imaging* ; Young Adult ; Machine Learning

Objective:To evaluate the efficacy and safety of rituximab (RTX) in children with steroid resistant nephrotic syndrome (SRNS).Methods:The was a retrospective observational study. A retrospective analysis was conducted on the clinical data of 14 children with SRNS who received RTX treatment in the Department of Nephrology, Children's Hospital Affiliated to Capital Institute of Pediatrics from July 2021 to August 2023. The changes in urinary protein content, renal function, serum albumin, immunoglobulin and other indicators before and after RTX medication were compared to evaluate the clinical efficacy and safety of RTX treatment for SRNS.Results:A total of 14 children with SRNS were selected for this study, with a male to female ratio of 6:8. The age of onset of kidney disease was (4.36±3.12) years, and 8 of them underwent kidney biopsy. Among them, 6 cases showed focal segmental glomerulosclerosis in renal pathology, and 2 cases showed minimal change disease. The age of 14 children who first used RTX was (8.45±3.98) years old, with a dose of 375 mg/m 2 and a maximum dose of 500 mg. The number of children who had used 2, 3, 4, and 5 doses of RTX was 6, 6, 1, and 1, respectively. RTX was administered orally with compound sulfamethoxazole to prevent infection. Glucocorticoids and immunosuppressants were discontinued 4.0(2.5, 6.5) months after the first dose of RTX. The median follow-up time was 10.5(6.0, 18.3) months. By the end of the 3-month, 6-month, and follow-up endpoints, the complete remission rates of kidney disease in the children were 100.0%(14/14), 85.7%(12/14), and 64.3%(9/14), respectively. Five children experienced kidney disease recurrence. Compared with before the first dose of RTX treatment, the serum albumin and height significantly increased, while body mass index significantly decreased at the end of follow-up (all P<0.05). There was no statistically significant difference in urinary protein content, renal function, and IgG (all P>0.05). During the RTX treatment, all 14 children did not experience any infusion reaction, and there were no serious infections during follow-up. One case was diagnosed with hypogammaglobulinemia. Conclusions:RTX can improve the remission rate and recurrence rate of SRNS children, reduce the dosage of glucocorticoids and related drug untoward reaction, significantly improve patient height and BMI, with minimal side effects. Especially for SRNS patients who cannot be relieved by the combination of glucocorticoids and immunosuppressants, RTX may be considered.

Objective:To analyze the clinical characteristics of renal abscess in children and provide suggestions for early diagnosis and treatment.Methods:The clinical data including general information, laboratory data, imaging results, treatment and prognosis of 20 pediatric patients with renal abscess admitted to the Department of Nephrology, Capital Center for Children's Health Capital Medical University were analyzed retrospectively.Results:A total of 8 males and 12 females were enrolled. The age of onset was 3.0 (0.8, 9.0) years. All cases had fever. Six cases presented with abdominal pain, 6 cases had poor appetite, 5 cases had vomiting and 5 cases urinary tract irritation symptoms. Laboratory data showed elevated white blood cells 20.4 (17.4,26.3)×10 9/L, C-reactive protein 126 (77, 154)mg/L, erythrocyte sedimentation rate 60 (41,73) mm/1 h in 20 cases and procalcitonin 4.7 (1.2,33.5)μg/L in 10 cases. Totally 18 cases had pyuria. Urine culture was positive in 8 cases. Enterococcus faecium and Pseudomonas aeruginosa was detected in 2 cases. Klebsiella pneumoniae was found in 1 case after performing blood culture. Renal abscess was confirmed in all cases by doing contrast-enhanced CT scan, while only 9 cases with abscesses were identified by using renal ultrasound. There were 14 cases with renal abscess formation confirmed at onset by performing magnetic resonance imaging. Nine cases were accompanied with congenital anomalies of the kidney and urinary tract. All cases received conservative medical treatment. Intravenous broad-spectrum antibiotics were administered for 23 (14, 39) d initially, while the medication in 11 cases were upgraded to meropenem or imipenem. Oral antibiotics were continued for 23 (14, 28) d after discharge in all cases. Within 1 year of follow-up, except for 1 case of recurrence, the others had a favorable prognosis. Conclusions:Renal abscess should be suspected for children presenting with unexplained fever, vomiting, abdominal pain, elevated white blood cell count, C-reactive protein, erythrocyte sedimentation rate and pyuria. Ultrasonography is suitable for screening and follow-up, while CT or magnetic resonance imaging can be used to confirm the diagnosis. Conservative management with broad-spectrum antibiotics is effective and can be considered the first-line therapy for pediatric renal abscess.

OBJECTIVE To investigate the current status of cleaning and disinfection of medical bedding items in public medical institutions of Liangshan ethnic minority area and analyze the risk of infections so as to provide ba-ses for optimizing the infection control strategies in the ethnic minority area.METHODS On the basis of question-naire survey,onsite sampling method and bacterial isolation and identification technique,a cross-sectional survey was conducted for the current status of cleaning and disinfection of medical bedding items in 15 different grades of public medical institutions of Liangshan ethnic minority area by stratified random sampling method from Sep.2021 to Sep.2023.RESULTS A total of 66 valid questionnaire were recycled,and 540 bedding item samples were col-lected.Totally 93.33％of the medical institutions relied on laundries for centralized cleaning of the medical bed-ding items.The implementation rates of management items such as policy formulation(100.00％)and pre-job training were remarkably higher in the tertiary hospitals than in the secondary and primary hospitals(allP＜0.05).There were no significant differences in the qualified rates of surveillance of microbiological indexes for the medical bedding items among the medical institutions,the qualified rate of surveillance of microbiological inde-xes was highest(71.30％)in the general hospitals and was lowest(61.11％)in the infectious diseases specialized hospital.The qualified rate of surveillance of microbiological indexes was lowest(3.33％)in pediatrics department or internal medicine department,and it raised most remarkably(80.00％)after the disinfection,and there was significant difference(x2=36.274,P＜0.001).CONCLUSIONS The current status of disinfection of the medical bedding items is not optimistic in the medical institutions of Liangshan ethnic minority area.There are the prob-lems such as imperfect system,insufficient equipment and absence of personnel training.It is necessary to com-plete the execution and supervision system for cleaning and disinfection standards,increase the cleaning facilities,promote the use of antibacterial textile and bring in smart management system so as to improve the cleaning and disinfection quality and reduce the risk of hospital-associated infections.

Objective:To explore the application effectiveness of the large language model DeepSeek in the cultivation of clinical thinking skills for medical laboratory technology students.Methods:A non-randomized controlled study was conducted. In the 2024-2025 academic year, two classes of second-year medical laboratory technology students from Hubei University of Chinese Medicine were selected and divided into a DeepSeek-assisted teaching group (Class A, n=53) and a traditional teaching control group (Class B, n=53), totaling 106 students. Both groups followed a 20-week problem-based learning (PBL) framework with identical teaching content, instructors, and class hours. Class A utilized DeepSeek via the"Learning Pass AI"platform for case diagnosis reasoning, prompt construction training, test plan formulation, and result analysis, while Class B received traditional PBL instruction. Paired t-tests were used to compare pre-and post-teaching scores in clinical thinking skills, AI interaction literacy, and prompt construction in Class A. Independent samples t-tests and chi-square ( χ2) tests were used to evaluate differences in case reasoning scores, etiology analysis accuracy, and teaching satisfaction between groups. Structured questionnaires supplemented the evaluation of model-assisted teaching processes. Results:The comparison of pre-and post-teaching scores in Class A showed that post-teaching scores significantly improved in clinical thinking skills[(4.02±0.45) points vs. (3.09±0.50) points, t=2.23)] and AI interaction literacy [(4.62±0.41) points vs. (3.27±0.54) points, t=2.18]. Compared to Class B, Class A demonstrated superior performance in case reasoning scores [(81.1±3.8) points vs.(74.3±4.2) points, t=8.97], etiology analysis accuracy [94.3% (50/53) vs. 81.1% (43/53), χ2=4.29], and teaching satisfaction [(95.6±3.2)points vs. (82.6±4.8) points, t=11.86] ( P<0.05). The results of questionnaires indicated that during model application, the prompt construction improved in logic [(2.85±0.58) points to (4.25±0.50) points, t=14.23, P<0.01] and innovation [(2.60±0.53) points to (4.05±0.46) points, t=11.57, P<0.05], but question clarity (77.4%, 41/53) and medical terminology accuracy (43.4%, 23/53) remained primary shortcomings. Conclusion:Integrating large language models into AI-teacher collaborative learning pathways can effectively promote students′ autonomous inquiry and clinical reasoning skills, thereby enhancing medical laboratory technology students′ clinical thinking skills.