1.Clinical Efficacy and Radiographic Outcomes of Manipulative Reduction Combined with Small Splint Fixation for Distal Radius Fractures:A Retrospective Multicenter Study with Propensity Score Matching
Mao WU ; Guoda DAI ; Yang SHAO ; Shaoshuo LI ; Zhen HUA ; Hengyan CUI ; Tingchen ZHU ; Dipeng LI ; Jintao LIU ; Ming ZHOU ; Peimin WANG ; Liyong ZHANG ; Jianwei WANG
Journal of Traditional Chinese Medicine 2026;67(10):1086-1092
ObjectiveTo observe the clinical efficacy and radiographic outcomes of manipulative reduction combined with small splint fixation in the treatment of distal radius fractures. MethodsThe clinical data of 1051 patients with distal radius fractures were retrospectively collected from five hospitals included in the Jiangsu Diagnosis and Treatment Data Platform for Traditional Chinese Medicine(TCM) Dominant Diseases. Propensity score matching at a 1∶4 ratio was applied, resulting in 580 cases selected for final analysis, which comprised 448 patients in the TCM group(manipulative reduction plus small splint fixation) and 132 in the surgical treatment group(open reduction and internal fixation). Each group was further stratified into type A, B, and C subgroups based on AO fracture classification. Radiographic indicators including palmar tilt, radial inclination, and radial height were compared between groups before treatment and 1 day, 1 week, and 4-6 weeks after treatment, and pain visual analog scale(VAS) scores before treatment and 1 week and 4-6 weeks after treatment were also compared. Wrist joint function was assessed 12 weeks after treatment, using the Dienst wrist function score and the Gartland and Werley(G-W) wrist function score. Additionally, the radiographic indicators at different timepoints and the 12-week wrist function levels were compared between groups across different fracture types. ResultsNo statistically significant difference was observed in radiographic indicators and VAS scores at all timepoints before and after treatment, as well as wrist joint function grades assessed by the Dienst score and the G-W score at 12 weeks after treatment (P>0.05). Compared to those before treatment, both groups showed increased palmar tilt, radial inclination, and radial height 1 week and 4-6 weeks after treatment, and decreased VAS scores (P<0.05). Compared to those 1 week after treatment, both groups showed a decrease in palmar tilt, an increase in radial inclination and radial height, and a reduction in VAS score 4-6 weeks after treatment(P<0.05). In type A and B subgroups, the surgical treatment group had a higher radial inclination than the TCM group 4-6 weeks after treatment, while in the type C subgroup, a higher radial height was shown in the surgical treatment group than in the TCM group 4-6 weeks after treatment(P<0.05). In type C subgroup, there was significant difference between groups in the wrist joint function by G-W scores 12 weeks after treatment(P<0.05). ConclusionManipulative reduction combined with small splint fixation can maintain fracture alignment and alleviate pain in treating distal radius fractures, which achieves therapeutic outcomes comparable to surgical treatment. It is particularly suitable for type A and B fractures and can be considered an effective treatment option for distal radius fractures.
2.Construction and Clinical Validation of a Deep Learning-Based Automatic Measurement Model for Palmar Tilt and Radial Inclination in Distal Radius Fractures
Guoda DAI ; Jianwei WANG ; Mao WU ; Bin KANG ; Yang SHAO ; Hengyan CUI ; Shaoshuo LI ; Tingchen ZHU ; Zhen HUA ; Zhongming SHEN ; Jintao LIU ; Ming ZHOU
Journal of Traditional Chinese Medicine 2026;67(10):1093-1100
ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine (TCM) clinical scenarios, and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior (AP) and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st, 2023, and September 1st, 2024, via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed, combined with anatomical knowledge specific to TCM orthopedics, to optimize the feature extraction strategy of an artificial intelligence (AI) model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated, and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected, and were divided into a training set (11,144 images, 5066 AP and 6078 lateral), a validation set (3700 images, 1840 AP and 1860 lateral), and an independent test set (600 images, 300 AP and 300 lateral) after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination, when the degree error between AI measurement and manual measurement was <3° and <5°, AI measurement accuracy was 83% and 93%, respectively. In 300 lateral X-rays in the test set for palmar tilt, when AI measurements had an error of <3° and <5° compared to manual measurements, corresponding accuracy rate was 78% and 90%, respectively. For 50 X-ray images, AI measurement time was (1.37±0.05) min for radial inclination while manual measurement time was (22.57±2.52) min (P<0.001); in terms of palmar tilt, the AI measurement time was (1.33±0.14) min, shorter than (23.70±2.80) min for manual measurement time (P<0.001). Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established, enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.
3.Differences in deltamethrin resistance and kdr gene mutation in Culex tritaeniorhynchus population in and outside the Yellow Sea wetland
Xiao-er ZHANG ; Zhi-ming WU ; Ye TIAN ; Qian CUI ; Yu-qian JI ; Huan WANG ; Shu-juan YANG ; Yi-chao ZHAO ; Yu WANG ; Hua-yu YIN ; Yu DING ; Guo-jin YAN ; Min-sen ZHAO ; Shou-gang ZHANG ; Bing-dong SONG ; Hong-na CHEN ; Jian GAO ; Wei-fang YANG ; Yu-fu ZHANG ; Hui LIU ; Hong-liang CHU
Acta Parasitologica et Medica Entomologica Sinica 2026;33(2):101-107
Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.
4.Mechanisms of action and clinical application of Xingnao kaiqiao-type traditional Chinese medicines for post-stroke cognitive impairment
Qiongdi REN ; Ming ZHANG ; Kaiqi SU ; Ruyuan CUI ; Rui PAN ; Chunxiao WANG ; Yachen FENG ; Qi LI ; Xu ZHANG
China Pharmacy 2026;37(20):2746-2752
Post-stroke cognitive impairment (PSCI) is a highly prevalent severe complication after stroke. In traditional Chinese medicines (TCM), its core pathogenesis is characterized by deficiency in origin and excess in superficiality: wind, phlegm and blood stasis accumulate, cloud the clear orifices and lead to loss of mental activity, and Xingnao kaiqiao is the targeted principal treatment. This review summarizes the research progress on the pharmacological mechanisms of representative Xingnao kaiqiao-type TCM including Acorus tatarinowii , Curcumae Radix , Polygala tenuifolia , borneol and musk, as well as clinical applications of their related compound formulas and Chinese patent medicines in the treatment of PSCI. The results show that these TCM can improve cognitive function through multiple pathways: targeted regulation of blood-brain barrier permeability, inhibition of neuroinflammation mediated by Toll like receptor 4/nuclear factor-κB, high mobility group protein B1 in ischemic brain tissue and other pathways, and activation of brain-derived neurotrophic factor/tyrosine kinase receptor B, cyclic adenosine monophosphate (cAMP)/protein kinase A/cAMP response element-binding protein and other pathways to promote synaptic plasticity. In terms of clinical application, the evidence chains of formulas based on Acorus tatarinowii and Polygala tenuifolia are relatively complete, which are the core medications to improve cognitive function and activities of daily living; Curcumae Radix has protective potential in the prodromal stage with vascular risk factors; borneol enhances the curative effect of compound prescriptions by improving blood-brain barrier function; musk is mainly used in the acute severe stage. At present, most of the mechanism evidence comes from animal experiments, high-quality large-sample clinical studies directly targeting PSCI populations are still scarce. Subsequent large-sample multicenter studies are needed in the future, combined with multi-omics and multimodal imaging techniques to further clarify its deep-seated mechanism of action.
5.The role and mechanism of DA/GSK-3 signaling in manic-like behavior induced by acute sleep deprivation in mice
Acta Universitatis Medicinalis Anhui 2025;60(1):87-95
Objective :
To explore the effects of acute sleep deprivation on manic-like behavior in mice and its possible molecular mechanisms.
Methods:
Seventy-three 8-week male C57BL/6 mice were randomly divided into two groups: control group(ctrl group,n=36) and acute sleep deprivation group(SD group,n=37). After acute sleep deprivation, the motor and exploration ability of mice were evaluated by open field test and elevated plus maze. Depression-like behavior of mice was evaluated by tail suspension test. Neuronal activation in brain tissue was observed by c-fos staining, neurotransmitter levels in hippocampus(HIP) and medial prefrontal cortex(mPFC) were detected by ELISA Kit, and glycogen synthase kinase-3β(GSK-3β) and phosphorylated GSK-3β(p-GSK-3β) levels in HIP and mPFC were detected by Western blot.
Results:
Compared with the ctrl group, the total movement distance(P<0.05) and the time in the central area(P<0.05) of the mice in SD group significantly increased in the open field test, and the open arm time(P<0.000 1) and open arm distance(P<0.01) significantly increased in the elevated plus maze. In the tail suspension test, the immobility time(P<0.01) was significantly reduced. In SD group, the expression of c-fos in HIP and mPFC increased(P<0.01), and the level of neurotransmitter DA in HIP(P<0.05) and mPFC(P<0.01) significantly increased. Western blot results showed that compared with ctrl group, the ratio of p-GSK-3β and GSK-3β in mPFC and HIP significantly decreased in SD group(P<0.000 1,P<0.05), while the level of p-GSK-3β protein significantly decreased in mPFC(P<0.05), but there was no significant change in HIP.
Conclusion
Acute sleep deprivation may regulate the level of GSK-3 through DA in mPFC of mice, inhibiting the serine phosphorylation of GSK-3 and eventually leading to manic-like behavior in mice.
6.An experimental method for simultaneous extraction and culture of primary cortical neurons and microglial cells from SD rats
Longcai HE ; Wenxue SONG ; Jiang MING ; Guangtang CHEN ; Junhao WANG ; Yidong LIAO ; Junshuan CUI ; Kaya XU
Chinese Journal of Tissue Engineering Research 2025;29(7):1395-1400
BACKGROUND:Primary cortical neurons and microglial cells play a crucial role in exploring cell therapies for neurological disorders,and most of the current methods for obtaining the two types of cells are cumbersome and require separate extraction.It is therefore crucial to find a convenient and rapid method to extract both types of cells simultaneously. OBJECTIVE:To explore a novel method for simultaneous extraction of primary cortical neurons and microglial cells. METHODS:Newborn suckling SD rats were taken within 24 hours.The brain was removed and placed in a dish with DMEM,and the pia mater was removed for later use.Primary neurons were extracted from the same brain tissue,and then the remaining brain tissue was used to extract microglial cells.The whole process was performed on ice.Extraction and culture steps of primary cortical neurons:The cerebral cortex was taken 2.0-3.0 mm with forceps,and the tissue was digested with papain for 20 minutes.After aborting digestion,the blown tissue presented an adherent tissue suspension.The supernatant cell suspension was obtained,filtered,and dispensed into 15 mL centrifuge tubes.After centrifugation and re-suspension,the cells were inoculated onto 6-well plate crawls coated with L-polylysine.Neuronal morphology was observed at 1-day intervals,and staining could be performed for identification using immunofluorescence staining of MAP2 and β-Tubulin by day 7.Microglia extraction and culture steps:The remaining brain tissue at 8-10 mm thick was subjected to microglial cell extraction,digested by trypsin for 20 minutes.After digestion was stopped,the tissue was blown to a homogenate,and then the homogenate was transferred to the culture bottle for culture.On day 14,the culture flasks were sealed and subjected to constant temperature horizontal shaking for 2 hours.Microglial cells were shed in the supernatant.Purified microglial cells were taken and continued to be cultured for 3 days for identification by Iba1 immunofluorescence staining. RESULTS AND CONCLUSION:(1)After 24 hours of culture,the neurons were adherent to the wall,the cytosol was enlarged,and some neurons developed synapses.After 3 and 5 days of culture,the cytosol was further enlarged,and most of the neurons were in the form of synapses,and some neurons were growing in clusters.On day 7,neuronal synapses were prolonged and thickened,and they were connected with each other to form a network.The neurons were identified by β-Tubulin and MAP2 immunofluorescence staining.(2)The cells grew close to the wall on day 1 of culture.On days 3,5,and 7,the density of microglial cells was small,and the cell morphology was bright oval or round,but the cells basically grew in clumps on the upper layer of other cells.On day 10,the density of microglial cells increased significantly.On day 14,microglial cells grew in dense clumps on the upper layer of other cells,and then they could be isolated and purified.The isolated and purified cells were taken and re-cultured to day 3 and identified as microglial cells by Iba1 immunofluorescence;their purity was greater than 95%.(3)The results show that primary cortical neurons and microglial cells obtained by this method after extraction and culture are of high purity,good morphology,and high viability.
7.Prescriptions and syndromes of Chaihu and Longgu Muli Decoction for treatment of tachyarrhythmia accompanied by anxiety state based on Delphi method.
Gang LIU ; Yan-Li LI ; Kui-Po YAN ; Hai-Feng YAN ; Lei ZHANG ; Ming-Yuan DU ; Yi-Zhuo LI ; Cui-Ling ZHU
China Journal of Chinese Materia Medica 2025;50(6):1680-1687
Chaihu and Longgu Muli Decoction has demonstrated significant efficacy in the treatment of tachyarrhythmia accompanied by anxiety and depression. However, there is a lack of standardized guidelines for its clinical application. In this study, the Chaihu and Longgu Muli Decoction was investigated through extensive research on ancient and modern literature, as well as a collection of clinical medical records. The basic information, medication details, and diagnostic information from medical records, personal experience literature, and clinical cases in the treatment of tachyarrhythmia accompanied by anxiety were extracted and analyzed to preliminarily identify the prescription characteristics and syndrome patterns. Subsequently, the Delphi method was employed to construct an item pool based on the data obtained in the first step. An expert questionnaire was prepared to collect scores and revision opinions from experts regarding these items. After statistical analysis and group discussions, a second round of questionnaires was formed by screening out certain items. This process was repeated until a final item set for the treatment of tachyarrhythmia accompanied by anxiety with Chaihu and Longgu Muli Decoction was determined. These findings provided guidance for clinical prescription practices. By extracting 71 syndromes and signs, as well as 33 tongue and pulse characteristics, the main syndrome features included palpitations, chest tightness, irritability, etc., which were basically consistent with the ancient syndromes. Through frequency analysis and group discussions, 71 items were screened out. After screening, modification, and primary and secondary division, 11 main diagnostic items and 10 secondary diagnostic items were determined. On this basis, the research team believes that Chaihu and Longgu Muli Decoction is mainly indicated for the following syndromes in the treatment of tachyarrhythmia accompanied by anxiety(palpitations, poor sleep, bitter taste, dry mouth, irritability/easily angered/anxiety/fearfulness/easily startled, red tongue with greasy yellow coating, rapid pulse, high work/life pressure, tachyarrhythmia on electrocardiogram/Holter monitor, and positive results on anxiety scale). Secondary syndromes include chest tightness, shortness of breath, feeling heavy and weak in the body, sweating, poor appetite, constipation, greasy white tongue coating, wiry pulse, slippery pulse, or knotted and intermittent pulse.
Drugs, Chinese Herbal/therapeutic use*
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Humans
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Delphi Technique
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Anxiety/complications*
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Tachycardia/psychology*
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Female
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Male
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Middle Aged
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Adult
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Aged
8.Analysis of cerebral amyloid angiopathy samples from Human Brain Bank of Hebei Medical University
Zu-Qi CUI ; Meng-Yao YE ; Yi ZHOU ; Shi-Xiong MI ; Qian YANG ; Min MA ; Ming WANG ; Shi-Yi WANG ; Qi-Han YU ; Hui-Xian CUI ; Juan DU
Acta Anatomica Sinica 2025;56(6):704-712
Objective To analyze the basic conditions and pathological characteristics of the samples in the Human Brain Bank of Hebei Medical University,which were pathologically diagnosed as cerebral amyloid angiopathy,and to provide reference for the research of related diseases.Methods The basic data of gender,age,apolipoprotein E genotype,pathological classification of cerebral amyloid angiopathy,Alzheimer's disease-related pathological change score,comorbidities and other pathological information were analyzed.Results Up to October 2024,twenty samples were confirmed by pathological diagnosis,with a male to female ratio of 3:1 and an average age of(80.90±8.08)years.Involve three kinds of apolipoprotein E subtype,5 kinds of genotypes(ε2/ε3 xε2/ε4、ε3/ε3 xε3/ε4、ε4/ε4);There were 2 pathologic types,including 6 cases of type 1 and 14 cases of type 2.The pathological grade included 3 grades.The severity grade and subtype classification of cerebral amyloid vascular disease were correlated with the degree of pathological changes of Alzheimer's disease.Cerebral amyloid angiopathy samples could coexist with other degenerative diseases with high comorbidity.Conclusion The incidence of cerebral amyloid angiopathy is higher in the aged samples collected based on Brain Bank,which coexists with conditions such as Alzheimer's disease and microbleeds,etc.It provides more detailed pathological diagnosis basis for further scientific research sharing of samples.
9.Determination and evaluation of serum monosaccharides in patients with early-stage lung adenocarcinoma.
Wenhao SU ; Cui HAO ; Yifei YANG ; Pengjiao ZENG ; Huaiqian DOU ; Meng ZHANG ; Yanli HE ; Yiran ZHANG ; Ming SHAN ; Wenxing DU ; Wenjie JIAO ; Lijuan ZHANG
Chinese Medical Journal 2025;138(3):352-354
10.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
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Cognitive Dysfunction/diagnosis*
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Aged
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Male
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Female
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Machine Learning
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Spleen
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Aged, 80 and over
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Kidney
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Medicine, Chinese Traditional


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