1.Polygonati Odorati Rhizoma Polysaccharides Ameliorate Hyperlipidemia in Mice by Regulating Gut Microbiota
Jingchen XIE ; Qianqian LIU ; Suhui XIONG ; Zhimin ZHANG ; Yuexin LIU ; Ping WU ; Duanfang LIAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):84-92
ObjectiveTo explore the effect of Polygonati Odorati Rhizoma polysaccharides on hyperlipidemia in mice by modulating the gut microbiota. MethodsNinety male C57BL/6J mice were randomized into the following groups (n=15): control, model, simvastatin, low- (100 mg·kg-1), medium- (200 mg·kg-1), and high-dose (400 mg·kg-1) Polygonati Odorati Rhizoma polysaccharides groups. Other groups except the control group were fed with a high-fat diet for the modeling of hyperlipidemia, and drug interventions lasted for 12 weeks. Serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were measured by an automatic biochemical analyzer. The pathological changes in the liver and epididymal fat were observed by hematoxylin-eosin staining, and lipid accumulation in the liver was assessed by oil red O staining. The gut microbiota was analyzed by 16S rRNA gene sequencing. ResultsCompared with the control group, the model group exhibited an increase in body weight (P<0.01), along with marked elevations in serum levels of TC, TG, and LDL-C (P<0.05,P<0.01). Furthermore, the model group showcased increase in the liver index and epididymal fat coefficient (P<0.05), increased liver fat accumulation, enlargement of adipocytes in the epididymal fat, decreases in both alpha and beta diversity of the gut microbiota, and an increase in the relative abundance of Allobaculum (P<0.01). Compared with the model group, Polygonati Odorati Rhizoma polysaccharides suppressed the increase in body weight (P<0.01), lowered the serum levels of TC, TG, and LDL-C (P<0.05,P<0.01), reduced the liver index and epididymal fat coefficient (P<0.05), alleviated liver fat accumulation, and decreased the size of adipocytes in the epididymal fat. Furthermore, it enhanced the alpha and beta diversity of the gut microbiota in mice, reduced the relative abundance of Allobaculum, Erysipelotrichaceae, and Clostridium (P<0.01), and increased the relative abundance of Akkermansia and Blautia (P<0.01). ConclusionPolygonati Odorati Rhizoma polysaccharides can ameliorate hyperlipidemia induced by a high-fat diet in mice by regulating the diversity and composition of the gut microbiota.
2.Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning
Xin LIU ; Ping ZHONG ; Di CHEN ; Limin LIAO
International Neurourology Journal 2025;29(1):40-47
Purpose:
Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations.
Methods:
Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals.
Results:
Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified.
Conclusions
DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.
3.Relationship between screening myopia and physical fitness index in college freshmen without majoring in public safety administration
Chinese Journal of School Health 2025;46(3):431-434
Objective:
To explore the relationship between visual acuity and physical fitness of university freshmen, so as to provide reference for myopia prevention and control for freshmen.
Methods:
From October to November 2022, 2 160 college freshman without majoring in public safety administration, selected from Guangxi Police College in 2022 by using the stratified cluster random sampling method, were reviewed for the results of visual acuity test and physical fitness scores. The physical fitness indices were evaluated by using the Z scores of physical fitness test scores, and the strength of association between the level of physical fitness index and myopia was analyzed by using Logistic regression model.
Results:
Among 2 160 college freshman without majoring in public safety administration, 917 (42.5%) students were diagnosed screening myopia, including 66 (3.1%) cases of high myopia, 383 (17.7%) cases of moderate myopia and 468 (21.7%) cases of mild myopia. The differences in the distribution of visual acuity tests among students with different physical fitness indices, body mass index, and gender were statistically significant ( Z/H=54.50, 49.53, 15.51, P <0.01). Low level and low middle level physical fitness indices were associated with screening myopia among freshmen[ OR (95% CI )=2.81(1.93-4.08),1.87(1.38-2.54)], and low level physical fitness indexes were associated with high myopia [ OR (95% CI )=7.22(2.33-22.32)] ( P <0.01).
Conclusions
Screening myopia among college freshman without majoring in public safety administration is related to physical fitness, and low level and low middle level physical fitness index are risk factors for myopia. Improving the level of physical fitness might be effective in preventing myopia.
4.Effect of Anti-reflux Mucosal Ablation on Esophageal Motility in Patients With Gastroesophageal Reflux Disease: A Study Based on High-resolution Impedance Manometry
Chien-Chuan CHEN ; Chu-Kuang CHOU ; Ming-Ching YUAN ; Kun-Feng TSAI ; Jia-Feng WU ; Wei-Chi LIAO ; Han-Mo CHIU ; Hsiu-Po WANG ; Ming-Shiang WU ; Ping-Huei TSENG
Journal of Neurogastroenterology and Motility 2025;31(1):75-85
Background/Aims:
Anti-reflux mucosal ablation (ARMA) is a promising endoscopic intervention for proton pump inhibitor (PPI)-dependent gastroesophageal reflux disease (GERD). However, the effect of ARMA on esophageal motility remains unclear.
Methods:
Twenty patients with PPI-dependent GERD receiving ARMA were prospectively enrolled. Comprehensive self-report symptom questionnaires, endoscopy, 24-hour impedance-pH monitoring, and high-resolution impedance manometry were performed and analyzed before and 3 months after ARMA.
Results:
All ARMA procedures were performed successfully. Symptom scores, including GerdQ (11.16 ± 2.67 to 9.11 ± 2.64, P = 0.026) and reflux symptom index (11.63 ± 5.62 to 6.11 ± 3.86, P = 0.001), improved significantly, while 13 patients (65%) reported discontinuation of PPI. Total acid exposure time (5.84 ± 4.63% to 2.83 ± 3.41%, P = 0.024) and number of reflux episodes (73.05 ± 19.34 to 37.55 ± 22.71, P < 0.001) decreased significantly after ARMA. Improved esophagogastric junction (EGJ) barrier function, including increased lower esophageal sphincter resting pressure (13.89 ± 10.78 mmHg to 21.68 ± 11.5 mmHg, P = 0.034), 4-second integrated relaxation pressure (5.75 ± 6.42 mmHg to 9.99 ± 5.89 mmHg, P = 0.020), and EGJ-contractile integral(16.42 ± 16.93 mmHg · cm to 31.95 ± 21.25 mmHg · cm, P = 0.016), were observed. Esophageal body contractility also increased significantly (distal contractile integral, 966.85 ± 845.84 mmHg · s · cm to 1198.8 ± 811.74 mmHg · s · cm, P = 0.023). Patients with symptom improvement had better pre-AMRA esophageal body contractility.
Conclusions
ARMA effectively improves symptoms and reflux burden, EGJ barrier function, and esophageal body contractility in patients with PPIdependent GERD during short-term evaluation. Longer follow-up to clarify the sustainability of ARMA is needed.
7.Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning
Xin LIU ; Ping ZHONG ; Di CHEN ; Limin LIAO
International Neurourology Journal 2025;29(1):40-47
Purpose:
Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations.
Methods:
Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals.
Results:
Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified.
Conclusions
DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.
8.Effect of Anti-reflux Mucosal Ablation on Esophageal Motility in Patients With Gastroesophageal Reflux Disease: A Study Based on High-resolution Impedance Manometry
Chien-Chuan CHEN ; Chu-Kuang CHOU ; Ming-Ching YUAN ; Kun-Feng TSAI ; Jia-Feng WU ; Wei-Chi LIAO ; Han-Mo CHIU ; Hsiu-Po WANG ; Ming-Shiang WU ; Ping-Huei TSENG
Journal of Neurogastroenterology and Motility 2025;31(1):75-85
Background/Aims:
Anti-reflux mucosal ablation (ARMA) is a promising endoscopic intervention for proton pump inhibitor (PPI)-dependent gastroesophageal reflux disease (GERD). However, the effect of ARMA on esophageal motility remains unclear.
Methods:
Twenty patients with PPI-dependent GERD receiving ARMA were prospectively enrolled. Comprehensive self-report symptom questionnaires, endoscopy, 24-hour impedance-pH monitoring, and high-resolution impedance manometry were performed and analyzed before and 3 months after ARMA.
Results:
All ARMA procedures were performed successfully. Symptom scores, including GerdQ (11.16 ± 2.67 to 9.11 ± 2.64, P = 0.026) and reflux symptom index (11.63 ± 5.62 to 6.11 ± 3.86, P = 0.001), improved significantly, while 13 patients (65%) reported discontinuation of PPI. Total acid exposure time (5.84 ± 4.63% to 2.83 ± 3.41%, P = 0.024) and number of reflux episodes (73.05 ± 19.34 to 37.55 ± 22.71, P < 0.001) decreased significantly after ARMA. Improved esophagogastric junction (EGJ) barrier function, including increased lower esophageal sphincter resting pressure (13.89 ± 10.78 mmHg to 21.68 ± 11.5 mmHg, P = 0.034), 4-second integrated relaxation pressure (5.75 ± 6.42 mmHg to 9.99 ± 5.89 mmHg, P = 0.020), and EGJ-contractile integral(16.42 ± 16.93 mmHg · cm to 31.95 ± 21.25 mmHg · cm, P = 0.016), were observed. Esophageal body contractility also increased significantly (distal contractile integral, 966.85 ± 845.84 mmHg · s · cm to 1198.8 ± 811.74 mmHg · s · cm, P = 0.023). Patients with symptom improvement had better pre-AMRA esophageal body contractility.
Conclusions
ARMA effectively improves symptoms and reflux burden, EGJ barrier function, and esophageal body contractility in patients with PPIdependent GERD during short-term evaluation. Longer follow-up to clarify the sustainability of ARMA is needed.
10.Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning
Xin LIU ; Ping ZHONG ; Di CHEN ; Limin LIAO
International Neurourology Journal 2025;29(1):40-47
Purpose:
Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations.
Methods:
Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals.
Results:
Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified.
Conclusions
DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.


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