OBJECTIVE: To observe the clinical effect of acupuncture and moxibustion combined with umbilical therapy on anxiety and depression in patients with neurogenic bladder (NB) after spinal cord injury (SCI). METHODS: Thirty cases of NB after SCI with anxiety and depression were selected and treated with acupuncture and moxibustion combined with umbilical therapy. Acupuncture was applied at Baihui (GV20), Yintang (GV24⁺), Sanyinjiao (SP6), Shenmen (HT7), Hegu (LI4), Taichong (LR3), once a day, continuous treatment for 4 weeks. Ginger moxibustion was applied at the bladder meridian of foot taiyang and governor vessel, once a day, continuous treatment for 4 weeks. In treatment of umbilical therapy, Chaihu (Radix Bupleuri), Yujin (Radix Curcumae), Rougui (Cortex Cinnamomi) were ground and mixed with the same amount of honey, put into the application, and the application was placed on the navel after filling the navel with fine salt, once a day for 4 weeks. Hamilton anxiety scale (HAMA) score, Hamilton depression scale (HAMD) score, urodynamic indexes (maximum urinary flow rate [Qmax], maximum detrusor pressure [Pdet-max], residual urine volume [RUV]), neurogenic bladder symptom score (NBSS), urinary symptom distress scale (USDS) score were compared before and after treatment, and the clinical efficacy was evaluated. RESULTS: After treatment, the scores of HAMA, HAMD, NBSS, USDS and RUVwere lower than those before treatment (P<0.05), and Qmax and Pdet-max were higher than those before treatment (P<0.05). The total effective rate was 93.3 (28/30). CONCLUSION Acupuncture and moxibustion combined with umbilical therapy can effectively relieve anxiety and depression symptoms, improve urination disorders in patients with NB after SCI.
Humans ; Moxibustion ; Male ; Female ; Adult ; Middle Aged ; Acupuncture Therapy ; Spinal Cord Injuries/psychology* ; Depression/etiology* ; Anxiety/etiology* ; Urinary Bladder, Neurogenic/etiology* ; Young Adult ; Aged ; Combined Modality Therapy ; Acupuncture Points

Cardiac fibrosis is characterized by an elevated amount of extracellular matrix (ECM) within the heart. However, the persistence of cardiac fibrosis ultimately diminishes contractility and precipitates cardiac dysfunction. Circular RNAs (circRNAs) are emerging as important regulators of cardiac fibrosis. Here, we elucidate the functional role of a specific circular RNA CELF1 in cardiac fibrosis and delineate a novel feedback loop mechanism. Functionally, circ-CELF1 was involved in enhancing fibrosis-related markers' expression and promoting the proliferation of cardiac fibroblasts (CFs), thereby exacerbating cardiac fibrosis. Mechanistically, circ-CELF1 reduced the ubiquitination-degradation rate of BRPF3, leading to an elevation of BRPF3 protein levels. Additionally, BRPF3 acted as a modular scaffold for the recruitment of histone acetyltransferase KAT7 to facilitate the induction of H3K14 acetylation within the promoters of the Celf1 gene. Thus, the transcription of Celf1 was dramatically activated, thereby inhibiting the subsequent response of their downstream target gene Smad7 expression to promote cardiac fibrosis. Moreover, Celf1 further promoted Celf1 pre-mRNA transcription and back-splicing, thereby establishing a feedback loop for circ-CELF1 production. Consequently, a novel feedback loop involving CELF1/circ-CELF1/BRPF3/KAT7 was established, suggesting that circ-CELF1 may serve as a potential novel therapeutic target for cardiac fibrosis.

OBJECTIVES: To investigate the mechanism through which pinostrobin (PSB) alleviates dextran sulfate sodium (DSS)-induced colitis in mice. METHODS: C57BL/6 mice were randomized into control group, DSS model group, and PSB intervention (30, 60, and 120 mg/kg) groups. Colitis severity of the mice was assessed by examining body weight changes, disease activity index (DAI), colon length, and histopathology. The expressions of tight junction proteins ZO-1 and claudin-1 in the colon tissues were examined using immunofluorescence staining, and macrophage infiltration and polarization were analyzed with flow cytometry. ELISA and RT-qPCR were used for detecting the expressions of inflammatory factors (TNF‑α and IL-6) and chemokines (CCL₂, CXCL₁₀, and CX₃CL₁) in the colon tissues, and PI3K/AKT phosphorylation levels were analyzed with Western blotting. In cultured Caco-2 and RAW264.7 cells, the effect of PSB on CCL₂-mediated macrophage migration was assessed using Transwell assay. Network pharmacology analysis was performed to predict the key pathways that mediate the therapeutic effect of PSB. RESULTS: In DSS-induced mouse models, PSB at 60 mg/kg optimally alleviated colitis, shown by reduced weight loss and DAI scores and increased colon length. PSB treatment significantly upregulated ZO-1 and claudin-1 expressions in the colon tissues, inhibited colonic macrophage infiltration, and promoted the shift of macrophage polarization from M1 to M2 type. In cultured intestinal epithelial cells, PSB significantly inhibited PI3K/AKT phosphorylation and suppressed chemokine CCL₂ expression. PSB treatment obviously blocked CCL₂-mediated macrophage migration of RAW264.7 cells, which could be reversed by exogenous CCL₂. Network pharmacology analysis and rescue experiments confirmed PI3K/AKT and CCL₂ signaling as the core targets of PSB. CONCLUSIONS PSB alleviates DSS-induced colitis in mice by targeting intestinal epithelial PI3K/AKT signaling, reducing CCL₂ secretion, and blocking macrophage chemotaxis and migration, highlighting the potential of PSB as a novel natural compound for treatment of inflammatory bowel disease.
Animals ; Mice ; Mice, Inbred C57BL ; Phosphatidylinositol 3-Kinases/metabolism* ; Colitis/drug therapy* ; Dextran Sulfate ; Proto-Oncogene Proteins c-akt/metabolism* ; Macrophages ; Chemokine CCL2/metabolism* ; Humans ; Signal Transduction/drug effects* ; Caco-2 Cells ; RAW 264.7 Cells ; Epithelial Cells/drug effects* ; Intestinal Mucosa/metabolism*

AIM: To assess the gap between the peak of the base curve to the surface of the cornea, as well as examines the correlation between the thickness of the tear film and the fitting of the orthokeratology lens through optical coherence tomography(OCT), providing an intuitive and quantitative clinical evaluation method for the fitting of the orthokeratology lens.METHODS: Myopia patients who fitted orthokeratology at our hospital from January to December 2023 were included. Examinations, including naked vision, slit lamp, non-contact intraocular pressure, ocular fundus, eye position, corneal diameter, corneal topography, tear film rupture time, optometry, etc., were performed on all patients before fitting. The trial lens parameter was selected according to the examination results, and fluorescein staining was performed to evaluate lens fitting state after patients adapted to wearing glasses. According to the performance of fluorescein staining, the inspected eyes are divided into three groups: lens loose group, lens fitting group, and lens tight group. In addition, the tear film thickness of three groups of subjects was measured by OCT, and the differences between the three groups of data were evaluated.RESULTS: A total of 49 myopic patients(77 eyes)were included. The average sphere degree was -3.10±1.25 D, the average cylinder degree was -0.43(-0.75, 0)D, the average horizontal keratometry(HK)was 42.48±0.81 D, and vertical keratometry(VK)was 42.98(42.25, 43.50)D. There were 21 cases(34 eyes)in the lens fitting group, with 13 cases of bilateral eyes, 8 cases of one eye, 14 cases(22 eyes)in the lens loose group, with 8 cases of bilateral eyes, 6 cases of one eye, and 14 cases(21 eyes)in the lens tight group, with 7 cases of bilateral eyes, 7 cases of one eye. There was no statistical difference in the main basic data of the subjects in the three groups(all P>0.05). OCT showed that the tear film thickness of the lens fitting group, the lens loose group, and the lens tight group was 231.18(219.0, 243.0), 220.41(214.0, 224.3), and 249.00(241.5, 258.0)μm, respectively, and there was statistical significance in the thickness among the three groups(P<0.05).CONCLUSION: OCT can serve as a safe and reliable method for measuring the tear film thickness, which can help evaluate the suitability of orthokeratology and provide a non-invasive, more intuitive, and quantitative evaluation method for the fitting and evaluation of orthokeratology.

Objective To optimize the oxygen therapy regimens for infants with pulmonary diseases during bronchoscopy.Methods A prospective randomized,controlled,and single-center clinical trial was conducted on 42 infants who underwent electronic bronchoscopy from July 2019 to July 2021.These infants were divided into a nasal cannula(NC)group and a modified T-piece resuscitator(TPR)group using a random number table.The lowest intraoperative blood oxygen saturation was recorded as the primary outcome,and intraoperative heart rate and respiratory results were recorded as the secondary outcomes.Results Compared with the NC group,the modified TPR group had a significantly higher level of minimum oxygen saturation during surgery and a significantly lower incidence rate of hypoxemia(P<0.05).In the modified TPR group,there were 6 infants with mild hypoxemia,2 with moderate hypoxemia,and 1 with severe hypoxemia,while in the NC group,there were 3 infants with mild hypoxemia,5 with moderate hypoxemia,and 9 with severe hypoxemia(P<0.05).The modified TPR group had a significantly lower incidence rate of intraoperative respiratory rhythm abnormalities than the NC group(P<0.05),but there was no significant difference in the incidence rate of arrhythmias between the two groups(P>0.05).Conclusions Modified TPR can significantly reduce the risk of hypoxemia in infants with pulmonary diseases during electronic bronchoscopy,and TPR significantly decreases the severity of hypoxemia and the incidence of respiratory rhythm abnormalities compared with traditional NC.

Objective:To investigate the iodine nutrition levels of children aged 8 - 10 and pregnant women in iodine deficient areas and iodine adequate areas of Inner Mongolia Autonomous Region (Inner Mongolia for short), and to provide scientific basis for prevention and treatment of iodine deficiency disorders.Methods:From March to July 2022, iodine nutrition analysis was conducted in iodine deficient areas and iodine adequate areas of 104 banners (counties, cities and districts) in 12 league cities in Inner Mongolia. Each monitoring banner (county, city and district) was divided into five sampling areas by east, west, south, north, and center, with one Sumu (township, street) selected from each area. One primary school was selected from each Sumu (township, street), and 40 non-boarding students aged 8 - 10 were selected from each primary school. One third of the students underwent thyroid ultrasound examination. Twenty pregnant women were selected from each of the 5 Sumus (townships, streets) in each monitoring banner (county, city and district). Household salt samples and random urine samples of children and pregnant women were collected to detect salt iodine and urinary iodine levels.Results:In 2022, the median thyroid volume of children aged 8 - 10 in iodine deficient areas and iodine adequate areas of Inner Mongolia was 2.44 ml, and the goiter rate was 1.89% (123/6 496). There were statistically significant differences in thyroid volume and goiter rate between different league cities ( H = 1 229.05, χ 2 = 34.13, P < 0.001). The coverage rate of iodized salt in 12 league cities was 98.51% (30 628/31 090), the consumption rate of qualified iodized salt was 94.42% (29 355/31 090), and the median salt iodine was 22.80 mg/kg. The median urinary iodine of children ( n = 20 968) was 195.00 μg/L, among which the median urinary iodine in 7 league cities was at the appropriate level of iodine nutrition (100 - 199 μg/L), and the median urinary iodine in 5 league cities was at the level of iodine nutrition exceeding the appropriate level (200 - 299 μg/L). The median urinary iodine of pregnant women ( n = 10 122) was 168.00 μg/L, among which, except for Bayannur (149.18 μg/L), the median urinary iodine in other 11 league cities was at the appropriate level of iodine nutrition (150 - 249 μg/L). Conclusions:The overall iodine nutrition of children and pregnant women in Inner Mongolia is at an appropriate level, but some pregnant women still face the risk of iodine deficiency. In the future, the focus of iodine deficiency disorders prevention and control should be on iodine nutrition monitoring for special needs populations.

Objective:To study the iodine nutrition status of children in non-high water iodine areas of Inner Mongolia Autonomous Region, analyze the monitoring results of iodine deficiency disorders, so as to provide a basis for further guidance on scientific iodine supplementation for children in Inner Mongolia Autonomous Region.Methods:According to the requirements of the National IDD Monitoring Program and the IDD Monitoring Program of Inner Mongolia in 2021, cluster sampling method was used to select non boarding children aged 8 - 10 from 104 counties (cities, districts) in 12 cities within the jurisdiction of Inner Mongolia Autonomous Region. Random urine samples and household salt samples were collected to detect iodine content. At the same time, 1/3 of the selected children were selected for thyroid B-ultrasound examination to measure thyroid volume.Results:In 2021, a total of 19 968 children aged 8 - 10 in non-high water iodine areas of Inner Mongolia were monitored, and 19 968 urine samples were collected, with a median urine iodine of 199.23 μg/L. There was a statistically significant difference in the frequency distribution of urinary iodine in different cities (χ 2 = 839.51, P < 0.001). The median iodine content of children's household edible salt was 22.64 mg/kg, and the coverage rate of iodized salt, qualified iodized salt coverage rate, and non-iodized salt rate in the entire region was 99.05% (19 778/19 968), 94.98% (18 785/19 778), 94.08% (18 785/19 968) and 0.95% (190/19 968), respectively. Thyroid B-ultrasound were performed in 6553 children, the goiter rate was 1.30% (85/6 553), and there were statistically significant differences in goiter rates among children of different ages and cities (χ 2 = 87.09, P < 0.001; χ 2 = 10.40, P = 0.006) . Conclusions:In 2021, the iodine nutrition of children aged 8 - 10 in non-high water iodine areas of Inner Mongolia is at an appropriate level. However, in the future we should continue to adhere to the monitoring of iodine deficiency disorders, strengthen health education on iodine deficiency disorders, consolidate existing achievements in iodine deficiency disease prevention and control, and achieve the goal of continuous elimination of iodine deficiency disorders.

Objective: To establish a comprehensive diagnostic classification model of lateral cephalograms based on artificial intelligence (AI) to provide reference for orthodontic diagnosis. Methods: A total of 2 894 lateral cephalograms were collected in Department of Orthodontics, Capital Medical University School of Stomatology from January 2015 to December 2021 to construct a data set, including 1 351 males and 1 543 females with a mean age of (26.4± 7.4) years. Firstly, 2 orthodontists (with 5 and 8 years of orthodontic experience, respectively) performed manual annotation and calculated measurement for primary classification, and then 2 senior orthodontists (with more than 20 years of orthodontic experience) verified the 8 diagnostic classifications including skeletal and dental indices. The data were randomly divided into training, validation, and test sets in the ratio of 7∶2∶1. The open source DenseNet121 was used to construct the model. The performance of the model was evaluated by classification accuracy, precision rate, sensitivity, specificity and area under the curve (AUC). Visualization of model regions of interest through class activation heatmaps. Results: The automatic classification model of lateral cephalograms was successfully established. It took 0.012 s on average to make 8 diagnoses on a lateral cephalogram. The accuracy of 5 classifications was 80%-90%, including sagittal and vertical skeletal facial pattern, mandibular growth, inclination of upper incisors, and protrusion of lower incisors. The acuracy rate of 3 classifications was 70%-80%, including maxillary growth, inclination of lower incisors and protrusion of upper incisors. The average AUC of each classification was ≥0.90. The class activation heat map of successfully classified lateral cephalograms showed that the AI model activation regions were distributed in the relevant structural regions. Conclusions: In this study, an automatic classification model for lateral cephalograms was established based on the DenseNet121 to achieve rapid classification of eight commonly used clinical diagnostic items.
Male ; Female ; Humans ; Young Adult ; Adult ; Artificial Intelligence ; Deep Learning ; Cephalometry ; Maxilla ; Mandible/diagnostic imaging*

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
Humans ; Male ; Female ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Deep Learning ; Reproducibility of Results ; Radiography ; Algorithms ; Cone-Beam Computed Tomography