1.Effect of deep muscle stimulation combined with electromyographic biofeedback on the spasms of the triceps surae and gait changes after stroke
Qiming ZHANG ; Di LIAO ; Zhiliang ZHONG ; Lihua LIN ; Xiang ZHENG ; Qiong LI ; Sharui SHAN
Chinese Journal of Tissue Engineering Research 2025;29(2):385-392
BACKGROUND:Deep muscle stimulation has the effects of releasing muscle adhesion,relieving muscle spasm,improving and restoring muscle compliance and elasticity.Electromyographic biofeedback therapy can promote nerve recovery and improve lower limb motor function and gait. OBJECTIVE:To observe the effect of the effect of deep muscle stimulation combined with electromyographic biofeedback therapy on the spasm of the triceps surae and gait changes after stroke by using a digital muscle detector and three-dimensional gait analysis system. METHODS:A total of 72 patients who met the inclusion criteria were selected from the Rehabilitation Department of the First Affiliated Hospital of Guangdong Pharmaceutical University from October 2020 to October 2023.And they were enrolled and randomly divided into two groups(n=36 per group):a control group and a combined group.The control group received routine rehabilitation therapies,electromyographic biofeedback and pseudo deep muscle stimulation,while the combined group received true deep muscle stimulation treatment on the basis of the control group,five times per week,for 4 consecutive weeks.The oscillation frequency and dynamic stiffness of the affected gastrocnemius muscle,active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,Fugl-Meyer assessment of the lower limbs,and three-dimensional gait analysis parameters were statistically analyzed before and after treatment in two groups. RESULTS AND CONCLUSION:After treatment,oscillation frequency and dynamic stiffness values of the inner and outer sides of the affected gastrocnemius muscle in both groups of patients were significantly reduced compared with before treatment(P<0.05),and the combined group showed a more significant decrease compared with the control group(P<0.05).The active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,and Fugl-Meyer scores after treatment were significantly increased or improved compared with before treatment(P<0.05),while the combined group showed a more significant increase or improvement compared with the control group(P<0.05).In terms of gait parameters,the walking speed,frequency,and stride in both groups of patients were significantly increased compared with before treatment(P<0.05),while the combined group showed a more significant increase compared with the control group(P<0.05).The percentage time of support phase on the healthy side was shortened compared with before treatment(P<0.05),while the combined group showed a more significant decrease compared with the control group(P<0.05).In addition,there was no significant difference between the two groups except for the percentage of healthy side support(P>0.05).To conclude,the combination of deep muscle stimulation and electromyographic biofeedback can effectively alleviate triceps spasm in the short term after stroke,improve ankle dorsiflexion function,enhance lower limb motor function,and improve gait.The treatment effect is significant and worthy of clinical promotion and application.
2.Ongoing pregnancy rate with intervention and expectant therapy in patients with unexplained recurrent spontaneous abortion: a prospective multicenter cohort study
Jiaxin JIANG ; Peiyu LIU ; Yang LIAO ; Xingming ZHONG ; Shushu FAN ; Lanqing FENG ; Yuxia WANG ; Yingying ZHANG ; Qiong WANG
Chinese Journal of Obstetrics and Gynecology 2025;60(4):289-296
Objective:To observe the pregnancy outcomes of patients with unexplained recurrent spontaneous abortion (URSA) after interventional treatment or expectant treatment.Methods:This prospective study followed up 398 patients with recurrent spontaneous abortion from March 2017 to September 2022 in seven hospitals. Among them, 267 patients were diagnosed with URSA, including 124 patients who were initially diagnosed in the interventional treatment hospital and 143 patients who were initially diagnosed in the expectant treatment hospital. All URSA patients were followed up for 33 months. Ongoing pregnancy rates were observed as main outcome indicators.Results:A total of 127 patients became pregnant, and 107 of them had sustained pregnancies, the ongoing pregnancy rate was 84.25% (107/127). The ongoing pregnancy rate was 86.11% (31/36) in the interventional treatment group and 83.52% (76/91) in the expectant treatment group, with no significant difference ( P>0.05). During the follow-up, the ongoing pregnancy rates in the interventional treatment hospital and the expectant treatment hospital were 75.71% (53/70) and 94.74% (54/57), respectively, with a significant difference ( P<0.05). The ongoing pregnancy rate after interventional treatment in the interventional treatment hospital was 82.76% (24/29), which was similar to the 94.00% (47/50) after expectant treatment in the expectant treatment hospital ( P>0.05). Conclusion:The ongoing pregnancy rate of interventional treatment for URSA patients has not been significantly improved, suggesting that it may not be necessary to carry out this treatment.
3.Construction of an ultrasound dynamic image segmentation model for thyroid nodules
Junpu HU ; Jialu LI ; Mengjie DOU ; Gang WANG ; Keyan LI ; Xiaofang FU ; Hao SUN ; Changqin SUN ; Duo SHI ; Yan LIAO ; Qiong WANG ; Faqin LYU
Chinese Journal of Ultrasonography 2025;34(6):518-524
Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules(comprising 150 nodules)who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules,forming a dynamic ultrasound image dataset. The dataset was divided into training,validation,and test sets in a ratio of 6∶1∶3. After the training loss curve converged,the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment,two subsets were used as the training set,and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules,300 dynamic ultrasound images,and video lengths of 3-4 seconds per nodule,resulting in 12 312 segmented images. The size of the thyroid nodules was(10.7 ± 10.6)mm(transverse diameter)×(8.4 ± 6.3)mm(anteroposterior diameter). Among the nodules,62(41.3%)had clear boundaries,while 88(58.7%)had indistinct boundaries;61(40.7%)exhibited regular shapes,while 89(59.3%)were irregular;66(44.0%)had a taller-than-wide aspect ratio;and 70(46.7%)showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores:a Jaccard score of(69.22 ± 0.03)%,a Dice score of(79.16 ± 0.18)%,a Precision score of(86.70 ± 0.17)%,a Recall score of(77.82 ± 0.04)%,an Sα score of(85.26 ± 0.01)%,and an Eθmn score of(90.58 ± 0.17)%. Compared to other models,this model demonstrated significant improvements across all evaluation metrics,achieving the highest values in each metric with increments of over 8% and 1%,respectively. Conclusions:The collaborative diffusion model with a dynamic controller,constructed based on dynamic ultrasound images of thyroid nodules,demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening,thereby providing a valuable auxiliary diagnostic tool for clinical practice.
4.Pathogenetic analysis of the first case of ST-7962 group B meningococcal disease in Jiangxi Province
Huan FANG ; Yong LIAO ; Xiao-jun HU ; Qiong LEI ; Xiao-rong ZHONG ; Jue-xin WANG ; Su-ping WANG ; Man-mei TANG ; Yu-chen WU ; Chu-chu WU
Chinese Journal of Zoonoses 2025;41(1):47-52
Blood from a case of group B epidemic cerebrospinal meningitis identified in February 2024 in Ganzhou City,Jiangxi Province,and throat swabs from close contacts were collected for isolation and culture.The isolates were subjected to serogrouping,drug sensitivity testing,and whole genome sequencing and analysis,to provide a basis for epidemiological inves-tigation and clinical drug use.One strain of Neisseria meningitidis was isolated from the blood of the case and denoted group B.The MLST type was ST-7962,with no clonal group attribution.The phylogenetic tree showed that it was genetically close to the 1977 Shanghai carrier isolate(id-52231).Drug sensitivity results indicated that the strain was sensitive to 8 drugs:azithro-mycin,cefotaxime,minocycline,ceftriaxone,chloramphenicol,meropenem,rifampicin,and benzylpenicillin;resistant to cot-rimoxazole,levofloxacin,and ciprofloxacin;and showed an intermediate response to penicillin.This report describes the first case of ST-7962 group B meningoencephalitis found in Jiangxi Province.Monitoring of Neisseria meningitidis carriage,drug re-sistance,and molecular characteristics of strains in the healthy population in this region should be strengthened,to provide la-boratory support for the clinical use of medications,traceability,and control of the pathogen underlying meningoencephalitis infection.
5.The decade of otoendoscope in China.
Yu SUN ; Xiuyong DING ; Yunfeng WANG ; Wuqing WANG ; Wei WANG ; Wenlong SHANG ; Wen ZHANG ; Jie ZHANG ; Yang CHEN ; Zhaoyan WANG ; Haidi YANG ; Qiong YANG ; Yu ZHAO ; Zhaohui HOU ; Yong CUI ; Lingyun MEI ; Youjun YU ; Hua LIAO
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(12):1103-1109
6.Gender differences and age-related changes in body composition of Miao adults in Guangxi Rongshui
Zhi-Hong LIAO ; Ling LAN ; Peng LIU ; Li-Ning ZHOU ; Ji-Chun GONG ; Lin XU ; Qiong-Ying DENG ; Hong-Rong YU
Acta Anatomica Sinica 2025;56(3):329-335
Objective To investigate gender differences and age-related changes in body composition(BC)among Miao adults in Rongshui,Guangxi Province,and to provide the basis for assessing nutritional status and health.Methods With informed consent,630 Miao adults(218 males,412 females)were randomly selected for this study.Body composition was assessed using bioelectrical impedance analysis(BIA).Results Weight,fat-free mass,muscle mass,trunk muscle mass,limb muscle mass,waist-to-hip ratio(WHR),body water,presumtion of bone mass and protein were significantly higher in males than in females.And the fat mass,trunk fat mass,limb fat mass,visceral fat content,subcutaneous fat content and percentage of body fat were significantly higher in females than in males.According to the evaluation of body mass index(BMI)and WHR,the proportion of overweight and obesity of Miao adults was higher than the average level of Miao residents,and their obesity was characterized by central obesity.With age,weight,fat mass,muscle mass,fat-free mass,limb muscle mass,limb fat mass,subcutaneous fat content,percentage of body fat,body water,presumtion of bone mass,and protein of Rongshui Miao adults showed a gradual decreasing trend,while visceral fat content and WHR increased progressively.BMI in male Miao adults,along with BMI,fat mass,trunk fat mass,subcutaneous fat content,percentage of body fat,and body water in female Miao adults,showed a trend of increasing followed by decreasing,peaking at the age of 40-49 years.Conclusion The body composition of Miao adults in Rongshui,Guangxi,exhibits significant gender differences and age-related variation change patterns,which may increase the risk of sarcopenia and metabolic diseases with aging.
7.Preparation and Identification of a Novel Polypeptide Promoting Wound Healing
Yue-Xia ZHU ; Biao HUANG ; Yu-Bin LIAO ; Chen-Xin WANG ; Zhong-Hua LIU ; Qiong LIAO
Chinese Journal of Biochemistry and Molecular Biology 2025;41(10):1402-1409
Wound repair and infection have long posed significant challenges in clinical medicine.Am-phibians,adapting to complex environments through long-term natural selection,have evolved skin sys-tems with remarkable abilities to resist external damage and promote rapid wound healing,making them an important source for discovering candidate molecules for wound healing.In this study,a novel peptide composed of 22 amino acids,with the sequence"VGKAGLETAACKATNSCFNIDW"and a molecular weight of 2299.6 D,was screened from the cDNA library of Odorrana tormota and named PN-VW22.The peptide was synthesized by solid-phase synthesis,and its effects on cell proliferation were evaluated using the CCK-8 assay and scratch wound healing assay in human keratinocytes(HaCaT)and mouse em-bryonic fibroblasts(NIH3T3).Antibacterial activity was assessed by determining the minimum inhibitory concentration(MIC).Results showed that PN-VW22 at various concentrations had no significant effect on the cell viability in NIH3T3 cells(P>0.05),but significantly enhanced HaCaT cell viability at 0.5μmol/L(P<0.001).Meanwhile,PN-VW22 induced cell proliferation and promoted wound healing in HaCaT cells,with a healing rate of 64.44%after 24 h incubation at 0.5 μmol/L.Furthermore,PN-VW22 exhibited antibacterial activity against Staphylococcus aureus with an MIC value of 13.92 μmol/L.In sum,this study identified PN-VW22 as a novel bifunctional peptide with both wound repair and anti-infective properties,providing a new toxin peptide template for the development of wound healing drugs.
8.Four new sesquiterpenoids from the roots of Atractylodes macrocephala
Gang-gang ZHOU ; Jia-jia LIU ; Ji-qiong WANG ; Hui LIU ; Zhi-Hua LIAO ; Guo-wei WANG ; Min CHEN ; Fan-cheng MENG
Acta Pharmaceutica Sinica 2025;60(1):179-184
The chemical constituents in dried roots of
9.Molecular mechanism of action and drug prediction of hepatic sinusoidal endothelial cells for regulating hepatic fibrosis via mesenchymal transition
Ruizhu JIANG ; Yang ZHENG ; Lei WANG ; Rongwu ZHANG ; Jiahui WANG ; Xilin LIAO ; Qiong CHEN
Chinese Journal of Comparative Medicine 2025;35(7):55-71
Objective To investigate the molecular mechanism of hepatic fibrosis(HF)regulation by liver sinusoidal endothelial cells(LSECs)via endothelial mesenchymal transition(EnMT),and to predict the natural active components using bioinformatics,machine learning,and cellular experiments.Methods HF and EnMT gene matrices were obtained and the intersecting genes were extracted and enriched using Limma difference analysis and weighted gene co-expression network analysis(WGCNA).The diagnostic genes were screened using a combination of random forest method,support vector machine-recursive feature elimination and network topology analysis,and immune infiltration analysis and prediction of natural active ingredients were performed.The expression of diagnostic genes and the pharmacological effects of the predicted ingredients were finally verified by cellular experiments.Results Differential analysis yielded 3034 EnMT-associated and 4133 HF-associated differential genes.WGCNA analysis yielded 4589 EnMT-associated Hub genes and 763 HF-associated Hub genes.Thirty-eight intersecting genes were extracted,which were mainly enriched in the pathways of basement membrane and extracellular matrix receptor interaction.Four diagnostic genes,CFP,COL4A2,ITGA1,and GRPEL1,were screened by multidimensional analysis.Immune infiltration analysis showed that the diagnostic genes were closely associated with mast cell resting state,memory B cells,and memory CD4+T cells.Reverse transcription-polymerase chain reaction analysis showed significantly increased mRNA expression levels of the four diagnostic genes in the Jagged1-induced model group(P<0.05).The predicted components,sterol,kaempferol,and quercetin,all had good binding activities with the diagnostic genes.Enzyme-linked immunosorbent assay result confirmed that all three active components significantly reduced the expression of collagen type Ⅳ α2 chain protein in Jagged1-induced LSECs,with quercetin having the most significant effect(P<0.01).Conclusions This study elucidated the molecular mechanism of hepatic sinusoidal endothelial cells involved in the pathological process of HF through mesenchymal transition.We also propose a diagnostic marker system including CFP,COL4A2,ITGA1,and GRPEL1 as core genes.The result also suggest that natural active ingredients,such as quercetin,may exert anti-HF pharmacological effects by targeting these diagnostic genes.
10.Preclinical Research Progress of Endoplasmic Reticulum Stress Inhibitors in Respiratory Diseases
Huiyun LIAO ; Yao FANG ; Lei QU ; Haichao LIU ; Congzheng MAO ; Qiong TANG ; Zhenhong HU
Herald of Medicine 2025;44(9):1472-1476
Endoplasmic reticulum stress(ERS)is associated with the pathophysiology of various lung diseases.Multiple experiments have confirmed that inhibiting ERS can alleviate inflammatory responses,improve lung function,and possess certain anti-infective effects.ERS inhibitors can positively impact the treatment of respiratory system diseases by targeting the unfolded protein response(UPR)in the ERS pathway and regulating the balance of calcium ions within the endoplasmic reticulum.Most current research on ERS inhibitors is still in the preclinical stage.This article thoroughly reviews the relevant reviews and various experimental research results on ERS in respiratory diseases,systematically examining the potential roles of the main branches of UPR,including inositol requiring enzyme 1 alpha(IRE 1α),protein kinase-like endoplasmic reticulum kinase(PERK),and activated transcription factor 6(ATF6),as well as other ERS inhibitors in respiratory diseases.The aim is to promote clinical trial exploration of ERS inhibitors,with the hope of providing effective drug selection strategies for the treatment and symptom relief of respiratory diseases.

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