1.Spatiotemporal Electrical Impedance Tomography for Speech Respiratory Assessment in Cleft Palate: an Interpretable Machine Learning Study
Yang WU ; Xiao-Jing ZHANG ; Hao YU ; Cheng-Hui JIANG ; Bo SUN ; Jia-Feng YAO
Progress in Biochemistry and Biophysics 2026;53(2):485-500
ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.
2.Spatiotemporal Electrical Impedance Tomography for Speech Respiratory Assessment in Cleft Palate: an Interpretable Machine Learning Study
Yang WU ; Xiao-Jing ZHANG ; Hao YU ; Cheng-Hui JIANG ; Bo SUN ; Jia-Feng YAO
Progress in Biochemistry and Biophysics 2026;53(2):485-500
ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.
3.Current Status and Strategies of Integrated Traditional Chinese and Western Medicine in the Treatment of Helicobacter pylori Infection
Xuezhi ZHANG ; Xia DING ; Zhen LIU ; Hui YE ; Xiaofen JIA ; Hong CHENG ; Zhenyu WU ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(1):111-116
This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori (Hp) infection, as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine (TCM) in Hp infection management, including improving Hp eradication rates, enhancing antibiotic sensitivity, reducing antimicrobial resistance, decreasing drug-related adverse effects, and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens, those with refractory Hp infection, and individuals with precancerous gastric lesions. An integrated, whole-process management approach and individualized, staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy, emphasizing prevention, strengthening primary care, implementing proactive long-term monitoring, optimizing screening strategies, and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.
4.Empirical study of input, output, outcome and impact of community-based rehabilitation stations
Xiayao CHEN ; Ying DONG ; Xue DONG ; Zhongxiang MI ; Jun CHENG ; Aimin ZHANG ; Didi LU ; Jun WANG ; Jude LIU ; Qianmo AN ; Hui GUO ; Xiaochen LIU ; Zefeng YU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(1):83-89
ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.
5.Shaoyaotang Ameliorates Ulcerative Colitis by Regulating miR-155-5p
Ruoru HUANG ; Bo ZOU ; Yu ZHANG ; Yiqian YU ; Qi CHENG ; Youwei XIAO ; Jiachun XIONG ; Yan GONG ; Dongshen WU ; Hui CAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(13):61-68
ObjectiveTo investigate the role of microRNA-155-5p (miR-155-5p) in ulcerative colitis (UC) and study the molecular mechanism of Shaoyaotang in the treatment of UC by regulating miR-155-5p. MethodsForty-eight SPF-grade male C57BL/6 mice were selected and assigned via the random number table method into 6 groups (n=8): A blank control group, a model group, a mesalazine (0.39 g·kg-1) group, a Shaoyaotang (31.08 g·kg-1) group, a Janus kinase 1 (JAK1) inhibitor (baricitinib, 10 mg·kg-1) group, and a Shaoyaotang combined with inhibitor (baricitinib 10 mg·kg-1 + Shaoyaotang 31.08 g·kg-1) group. After successful modeling of UC by gavage of 3% dextran sulphate sodium solution, each group received corresponding drug intervention for 7 days. Shaoyaotang and mesalazine were administered by gavage, and baricitinib by intraperitoneal injection. Twenty-four hours after the last administration, mice were anesthetized by intraperitoneal injection of pentobarbital sodium, and blood was collected for determination of white blood cell count and erythrocyte sedimentation rate (ESR). Mice were then sacrificed for measurement of colon length. Hematoxylin-eosin staining was used to observe colonic pathological changes and perform pathological scoring. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was employed to determine the relative expression of miR-155-5p in the colonic tissue, and Western blot was used to determine the protein levels of JAK1, phosphorylated JAK1 (p-JAK1), suppressor of cytokine signaling 1 (SOCS1), signal transducer and activator of transcription 1 (STAT1), and phosphorylated STAT1 (p-STAT1). ResultsCompared with the blank control group, the model group showed increased disease activity index (DAI) score and pathological score, shortened colon, upregulated relative expression of miR-155-5p and protein levels of p-JAK1 and p-STAT1, downregulated protein level of SOCS1 in the colonic tissue, prolonged time of erythrocyte sedimentation, and increased white blood cell count (P<0.01). Compared with the model group, all drug-treated groups exhibited improvements in the above indicators (P<0.01). Moreover, the Shaoyaotang group showed better therapeutic effects than the mesalazine group in regulating miR-155-5p expression, related protein levels, DAI score, and colonic pathological score (P<0.01). ConclusionShaoyaotang may downregulate miR-155-5p to relieve its inhibition on SOCS1, thereby suppressing the excessive activation of the JAK1/STAT1 signaling pathway and ultimately alleviating intestinal inflammatory damage.
6.The first record of Anopheles messeae (Diptera: Culicidae) parasitized by water mites in China
Xue-ru CHEN ; Wen-zhen YAO ; Yu-hao LI ; Gui-chang LI ; Tao MENG ; Qun-ling FENG ; Xin-hui LIU ; Li-hong QIAO ; Xiang-ting WU ; Xue-feng ZHANG ; Cheng-lin LI ; Xue-cheng DONG ; Da-wei WANG ; Xiao-yan SI ; Yu-hong GUO
Acta Parasitologica et Medica Entomologica Sinica 2026;33(1):53-57
Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.
7.Differences in arousal threshold among obstructive sleep apnea patients of different genetic backgrounds and influencing factors
Rui ZHAO ; Ping YAO ; Zhiqiang ZHANG ; Zhiguo GUO ; Minqi XIE ; Hui DANG ; Yanrong JIA ; Jing CHENG ; Dongsheng LYU
Sichuan Mental Health 2026;39(3):240-245
BackgroundObstructive sleep apnea (OSA) represents a prevalent sleep disordered breathing condition characterized by complex pathophysiology. The arousal threshold (ArTH), a core non-anatomical contributor to OSA pathogenesis, is intimately tied to the disease severity and clinical phenotypes. To date, research regarding factors associated with ArTH has yielded inconsistent findings, and ArTH profiles and disparities across populations with different genetic backgrounds are not fully elucidated. ObjectiveTo explore the differences of ArTH in OSA patients with different genetic backgrounds and analyze the key factors affecting ArTH, thereby providing evidence for understanding OSA pathophysiology and formulating targeted treatment regimens. MethodsA total of 285 patients who met the diagnostic criteria for OSA, as defined by the Multidisciplinary Diagnosis and Treatment Guidelines for Adult Obstructive Sleep Apnea, were retrospectively enrolled in this study. All participants underwent overnight polysomnography (PSG) at the Sleep Medicine Center of Inner Mongolia Mental Health Center from December 2022 to May 2024. Based on the study design, the cohort was stratified into two distinct genetic background subgroups (group A and group B). Demographic and clinical characteristics, the Epworth Sleepiness Scale (ESS) score, and overnight PSG data were collected. The apnea hypopnea index (AHI), the lowest pulse oxygen saturation (LSpO2), and fraction of hypopneas (FHypopneas) were utilized as surrogate indicators to estimate ArTH in OSA patients. The influencing factors of low ArTH were tested by binary Logistic regression analysis. ResultsAmong the 285 OSA patients, there were 227 cases (79.65%) in group A and 58 cases (20.35%) in group B. Comparisons between the two genetic background subgroups revealed no statistically significant differences in the proportion of low ArTH, ESS score, PSG parameters, and the three markers for low ArTH (AHI<30 events/h, LSpO2>82.5%, FHypopneas>58.3%) (P>0.05). Binary Logistic regression analysis identified sex (OR=2.421, 95% CI: 1.070–5.478), BMI (OR=0.847, 95% CI: 0.770–0.932), N1 sleep duration (OR=0.974, 95% CI: 0.963–0.985), and hypertension (OR=0.348, 95% CI: 0.143–0.848) as independent factors associated with low ArTH in the total cohort. Stratified analysis by genetic backgrounds revealed that sex(OR=3.799, 95% CI: 1.389–10.392), BMI(OR=0.819, 95% CI:0.723–0.929), and N1 sleep duration(OR=0.973, 95% CI: 0.961–0.986) were independent factors of low ArTH in group A. In contrast, only N1 sleep duration (OR=0.951, 95% CI: 0.911–0.993) remained a significant factor in group B. ConclusionArthur may have conservative characteristics in patients with OSA with different genetic backgrounds, but the pathophysiological mechanism of OSA may have population heterogeneity. [Funded by Inner Mongolia Autonomous Region Natural Science Fundation Project (number, 2024QN08050); Intra-institutional Scientific Research Project of Inner Mongolia Mental Health Center (number, 2022QNWN0010)]
8.Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis
Jun LU ; Hui XU ; Jing ZHENG ; Tianxin CHENG ; Xinjun HAN ; Yuxin WANG ; Xuxu MENG ; Xiaoyang LI ; Jiahui JIANG ; Xue DONG ; Xijie ZHANG ; Zhenchang WANG ; Zhenghan YANG ; Lixue XU
Korean Journal of Radiology 2025;26(5):411-421
Objective:
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
Materials and Methods:
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
Results:
The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85.
Conclusion
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.
9.Study on residents’willingness to pay for community pharmacies’medication guidance services and its influencing factors
Mingyue LI ; Jiangtao ZHANG ; Zhen KANG ; Hui GAO ; Wentao LIAO ; Lufeng CHENG
China Pharmacy 2025;36(22):2766-2771
OBJECTIVE To explore the willingness to pay (WTP) of Urumqi residents for community pharmacies’ medication guidance services and its influencing factors, so as to provide data support for the optimization of community pharmacy services and the establishment of a fee structure for medication guidance services. METHODS A stratified quota sampling method was employed to select 14 communities in Urumqi City. From April to June 2025, a combined offline and online questionnaire survey was conducted among adult residents in these communities. The contingent valuation method was used to construct three hypothetical scenarios (namely, basic, enhanced and extended services) of medication counselling in community pharmacies to assess residents’ WTP for these services. Binary Logistic regression was employed to analyze the influencing factors of WTP. RESULTS A total of 576 valid questionnaires were obtained. Under the scenarios of basic, enhanced and extended services, 38.54%, 49.65% and 67.19% of the respondents expressed WTP for the services, respectively. Occupational type, type of basic medical insurance, annual income, perception of pharmacists’ profession, and acceptance level of the service were identified as major influencing factors for WTP (P<0.05). CONCLUSIONS The willingness of residents in Urumqi to pay for medication counseling services provided by pharmacists in community pharmacies significantly increases with the enrichment of service content. It is recommended to incorporate basic medication counselling services provided by pharmacists in community pharmacies into medical insurance payment, while value-added services should be partially or fully self-paid by residents. Additionally, efforts should be made to strengthen the promotion of the professional and service value of licensed pharmacists, so as to facilitate the high-quality development of pharmaceutical care.
10.Design and realization of VR-based air evacuation training system
Cheng-ye ZHANG ; Fa-lin LI ; Hui ZHANG ; Yu-dong MA ; Wen KUANG ; Tai-feng LIU ; Yu-jie MA ; Jun WANG ; Xiao-jiao LYU ; Yan ZHOU
Chinese Medical Equipment Journal 2025;46(3):15-20
Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]


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