1.Current Status of Traditional Chinese Medicine Diagnosis and Treatment of Inflammatory Bowel Disease and the Research on Mechanism
Junxiang LI ; Hong SHEN ; Tangyou MAO ; Lei ZHU ; Jiaqi ZHANG ; Zhibin WANG ; Xudong TANG
Journal of Traditional Chinese Medicine 2026;67(1):103-110
In recent years, traditional Chinese medicine (TCM) has achieved significant progress in the treatment of inflammatory bowel disease (IBD). A comprehensive literature search was conducted covering the period from January 1, 2010, to December 30, 2024, across Chinese databases including China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP China Science and Technology Journal Database, and the Chinese Biomedical Literature Service System, as well as international databases such as PubMed, Web of Science, and Embase. The clinical applications and mechanistic studies of TCM in IBD were systematically reviewed. The current status of TCM research on the etiology and pathogenesis of IBD, innovative clinical practices, and multimodal therapeutic approaches, including Chinese herbal formulas, single herbs or active compounds, acupuncture, herbal retention enema, and acupoint application, were summarized, together with their synergistic effects when combined with western medical treatments. The development and application of Chinese patent medicines for IBD are undergoing a profound transition from efficacy validation to mechanistic exploration. Mechanistic studies on the effects of TCM in IBD mainly focus on regulating gut microbiota homeostasis, repairing the intestinal mucosal barrier, and modulating intestinal immune balance. Furthermore, future research directions for TCM-based IBD management are proposed, including the establishment of TCM diagnostic and treatment models, expanding integrated applications of external and internal TCM therapies, innovating personalized treatment strategies, and advancing drug development. These efforts aim to provide insights for the standardized and precision-oriented development of TCM in the diagnosis and treatment of IBD.
2.Relationship between immunoinflammatory indicators derived from complete blood count and severity of Mycoplasma pneumoniae pneumonia in children of different ages
Yujiao WANG ; Nuonan MAO ; Xu DONG ; Yu SUN ; Lei LEI ; Lin ZHOU
Academic Journal of Naval Medical University 2025;46(11):1447-1455
Objective To investigate the relationship between 9 immunoinflammatory indicators derived from complete blood count and the severity of Mycoplasma pneumoniae pneumonia(MPP)in children of different ages.Methods Totally 2 132 children with MPP who were hospitalized in the Department of Pediatrics of The First Affiliated Hospital of Naval Medical University from Jul.1,2023,to Dec.31,2024 were enrolled,and were assigned to severe MPP(SMPP)or non-severe MPP(NSMPP)groups.According to age and gender 1∶1 matching,the children were assigned to 2 subgroups according to age(1-6 years old and>6-16 years old).The basic data,laboratory examination and immunoinflammatory indicators from complete blood count of each group were collected and compared.The influencing factors of SMPP were analyzed by univariate and multivariate Cox proportional hazards regression models.Receiver operating characteristic curves were used to analyze the predictive value of indicators that showed statistically significant differences for SMPP.Results There were 220 patients with SMPP,accounting for 10.3%of MPP.In children aged 1-6 years,compared with the NSMPP group,the SMPP group had a longer hospital stay,higher platelet(PLT)count,platelet-to-lymphocyte ratio(PLR),neutrophil-to-lymphocyte ratio,derived neutrophil-to-lymphocyte ratio and systemic immune-inflammation index(all P<0.05).PLR was an independent risk factor for SMPP(odds ratio=1.010,95%confidence interval[CI]1.003-1.018,P=0.007).The area under curve predicted by PLR for SMPP was 0.635(95%CI 0.560-0.711,P<0.001),the best cut-off value was 125.04,and the corresponding sensitivity and specificity were 57.7%and 70.2%,respectively.All the children were assigned to low PLR group or high PLR group using the best cut-offvalue as the boundary,and the severe disease rate in the high PLR group was significantly higher than that in the low PLR group(65.9%[60/91]vs 37.6%[44/117],P<0.001).All the children were assigned to Q1-Q4 groups by quartile,and the severe disease rate of the Q4 group(71.2%,37/52)was significantly higher than that of the Q1-Q3 group(all P<0.05).In children aged>6-16 years,compared with the NSMPP group,the PLT and PLR in the SMPP group were higher(both P<0.05),but neither was an independent risk factor.All the children were assigned to low PLR group or high PLR group using the best cut-offvalue(137.03)as the boundary,and the severe disease rate in the high PLR group was significantly higher than that in the low PLR group(57.0%[77/135]vs 40.2%[39/97],P=0.011).All the children were assigned to Q1-Q4 groups by quartile,and the severe disease rate of the Q4 group(65.5%,38/58)was significantly higher than that of the Q1-Q3 group(all P<0.05).Conclusion The immunoinflammatory indicators derived from complete blood count,especially PLR,have certain application value in predicting the severity of MPP children in different ages.
3.Bone Age Estimation of Chinese Han Adolescents's and Children's Elbow Joint X-rays Based on Multiple Deep Convolutional Neural Network Models
Dan-Yang LI ; Hui-Ming ZHOU ; Lei WAN ; Tai-Ang LIU ; Yuan-Zhe LI ; Mao-Wen WANG ; Ya-Hui WANG
Journal of Forensic Medicine 2025;41(1):48-58
Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.
4.Dual-Channel Shoulder Joint X-ray Bone Age Estimation in Chinese Han Ado-lescents Based on the Fusion of Segmentation Labels and Original Images
Hui-Ming ZHOU ; Dan-Yang LI ; Lei WAN ; Tai-Ang LIU ; Yuan-Zhe LI ; Mao-Wen WANG ; Ya-Hui WANG
Journal of Forensic Medicine 2025;41(3):208-216
Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.
5.The strategies of early diagnosis and management of primary renal tubular disease in children
Yulin KANG ; Wenyan HUANG ; Lei YIN ; Wei ZHOU ; Yufeng LI ; Jia RAO ; Yuanyuan LIU ; Yachun LI ; Song MAO ; Wenjing SHI
International Journal of Pediatrics 2025;52(6):359-363
Childhood primary renal tubular diseases are chronic kidney diseases characterized by impaired renal tubular reabsorption. Primary renal tubular disease has diverse clinical manifestations and lacks of specificity. Laboratory tests are limited,making it prone to missed diagnosis and misdiagnosis. Based on the current knowledge of renal tubular diseases,authors propose early warning signals of renal tubular diseases such as family history of primary tubular diseases,unexplained polyhydramnios during pregnancy,polydipsia,polyuria,delayed growth and development or rickets,decreased muscle strength and tone,unexplained electrolyte disturbance,hyperuricemia,acid-base disturbance,positive urine sugar test,renal tubular proteinuria,urinary imaging examination suggesting kidney stones,calcium deposition,renal cysts and early onset of eye,ear,joint and neuron injury.Meanwhile,some universal management strategies for primary renal tubular disease are proposed,emphasizing the importance of multidisciplinary collaboration,genetic testing and individualized intervention to improve the long-term prognosis of childhood primary renal tubular diseases.
6.Effect of intra-articular hemorrhage on extending knee joint contracture in rats
Quanbing Zhang ; Deting Zhu ; Yun Zhou ; Xiuli Kan ; Lei Huo ; Ruoxi Zhang ; Han Xiao ; Jing Mao ; Xueming Li ; Run Zhang
Acta Universitatis Medicinalis Anhui 2025;60(8):1381-1386
Objective:
To investigate the effect of intraarticular hemorrhage on extending knee joint contracture model in rats .
Methods:
18 mature male SD rats were divided into 3 groups by random number table method . The control group ( group C) was not immobilized and was killed after 4 weeks of feeding . In the simple fixation group( M1 group) , the left lower limb knee joint was immobilized in straight position for 4 weeks . The blood fixationgroup (M2 group) was injected into the knee cavity with body blood and immobilized in a straight position for 4 weeks . The knee joint motion of each group was measured by the joint motion measuring instrument under a stand⁃ard torque . The contracture degree was calculated by the joint range of motion of the knee joint before and after muscles separation . HE staining and Masson staining were used to detect the number of cells and collagen deposi⁃tion in the anterior joint capsule . The protein expressions of transforming growth factor 1 (TGF⁃ β1) , wingless⁃type MMTV integration site family , member 1 ( Wnt1) and beta⁃catenin ( β⁃catenin) in the anterior articular capsule were detected by Western blotting .
Results:
Compared with group C , total knee contracture and arthrogenic con⁃tracture of rats in M1 and M2 groups increased , and the difference was statistically significant (P < 0. 05) . At the same time , the degree of total contracture and arthrogenic contracture in M2 group was higher than that in M1 group , and the difference was statistically significant (P < 0. 05) . Compared with group C , the number of anterior joint capsule cells and collagen deposition in M1 and M2 groups increased , and the difference was statistically sig⁃group were higher than those in M1 group , and the difference was statistically significant (P < 0. 05) . Compared with group C , the protein expressions of TGF⁃ β1 , Wnt1 and β ⁃catenin in the anterior articular capsule of rats in M1 expressions of TGF⁃ β1 , Wnt1 and β ⁃catenin in the anterior articular capsule of the knee joint in M2 group were sig⁃nificantly higher than those in M1 group , with statistical significance (P < 0. 05) .
Conclusion
Joint immobiliza⁃ tion can lead to joint contracture , and joint bleeding aggravates the degree of joint capsule fibrosis induced by im⁃mobilization .
7.Wen-Shen-Tong-Du Decoction promoting spinal cord injury repair in mice
Ruihua ZHAO ; Sixian CHEN ; Yang GUO ; Lei SHI ; Chengjie WU ; Mao WU ; Guanglu YANG ; Haoheng ZHANG ; Yong MA
Chinese Journal of Tissue Engineering Research 2025;29(6):1118-1126
BACKGROUND:Previous studies have confirmed that Wen-Shen-Tong-Du Decoction can promote the recovery of spinal cord injury by inhibiting pyroptosis of splenic B cells,promoting the phagocytosis of myelin debris by microvascular endothelial cells,affecting the migration and infiltration of microglia,promoting the recovery of damaged neurons,and decreasing neuronal apoptosis after spinal cord injury,but the mechanism of this is still not clear. OBJECTIVE:To investigate the effect of Wen-Shen-Tong-Du Decoction on the triggering receptor expressed on myeloid cells 2(TREM2)and PI3K/Akt signaling pathways in mice following spinal cord injury. METHODS:Thirty-six C57BL/6 mice were selected and randomly divided into a sham-operation group,a model group and a Wen-Shen-Tong-Du Decoction group,with 12 mice in each group.In the model and Wen-Shen-Tong-Du Decoction groups,mouse models of T10 spinal cord injury were prepared by the modified Allen's method.On the 1st day after modeling,the Wen-Shen-Tong-Du Decoction group was given Wen-Shen-Tong-Du Decoction by gavage,and the sham-operation group and the model group were given saline by gavage once a day for 28 days.During the drug administration period,mouse motor function was evaluated by Basso Mouse Scale score and inclined plane test.On the 7th and 28th days after modeling,hematoxylin-eosin staining was used to observe the histopathological changes in the spinal cord tissue of the mice;immunofluorescence double staining was used to detect the protein expression of ionized calcium binding adaptor molecule 1(IBA1)and TREM2;and western blot assay was used to detect the expression of TREM2,PI3K,p-PI3K,Akt,p-Akt,Bcl2,Bax and Caspase3 in spinal cord tissue. RESULTS AND CONCLUSION:Basso Mouse Scale scores and inclined plane test results indicated that the motor function of the mouse hindlimbs was declined after spinal cord injury,and Wen-Shen-Tong-Du Decoction significantly improved motor function in mice with spinal cord injury.Hematoxylin-eosin staining results revealed that Wen-Shen-Tong-Du Decoction significantly ameliorated the pathological structure of spinal cord tissue compared with the model group,manifesting as reduced degrees of dorsal white matter and neuronal atrophy,decreased cytoplasmic vacuolization,and reduced inflammatory cell infiltration.Immunofluorescence double staining results showed that on the 7th day after modeling,the protein expression of IBA1 and TREM2 in the model group was lower than that in the sham-operation group(P<0.05),and the protein expression of IBA1 and TREM2 in the Wen-Shen-Tong-Du Decoction group was higher than that in the model group(P<0.05);on the 28th day after modeling,the protein expression of TREM2 in the model group was lower than that in the sham-operation group(P<0.05),and the protein expression of TREM2 in the spinal cord tissue of the mice in the Wen-Shen-Tong-Du Decoction group was higher than that in the model group(P<0.05).Western blot results analysis demonstrated that on the 7th day after modeling,compared with the sham-operation group,the model group exhibited a significant reduction in TREM2,PI3K,and Bcl2/Bax(P<0.05),as well as a significant increase in p-Akt,Bax and p-Akt/Aktp-PI3K(P<0.05);compared with the model group,the Wen-Shen-Tong-Du Decoction group showed a significant increase in TREM2,PI3K,p-PI3K,Akt,p-Akt,Bcl2,p-PI3K/PI3K,p-Akt/Ak,and Bcl2/Bax(P<0.05),as well as a significant decrease in Bax and Caspase3 protein expression(P<0.05).On the 28th day after modeling,compared with the sham-operation group,the model group exhibited a significant reduction in TREM2,PI3K,p-PI3K,Akt,p-Akt,Bcl2 and Bcl2/Bax(P<0.05),as well as a significant increase in Bax protein expression(P<0.05);compared with the model group,the Wen-Shen-Tong-Du Decoction group showed a significant increase in TREM2,PI3K,Akt,p-Akt,Bcl2,and Bcl2/Bax(P<0.05),as well as a significant decrease in Bax protein expression(P<0.05).To conclude,Wen-Shen-Tong-Du Decoction may activate the PI3K/Akt signaling pathway by up-regulating the expression of TREM2 protein in microglia,and then inhibit neuronal apoptosis,thus exerting neuroprotective effects and promoting the repair of spinal cord injury.
8.Analysis and application thinking of standards for 500 kinds of traditional Chinese medicine formula granules on base of industrial practice.
Yong LIU ; Jun ZHANG ; Xin-Hai DONG ; Lin ZHOU ; Dong-Mei SUN ; Fu-Lin MAO ; Zhen-Yu LI ; Lei HUANG ; Jin-Lai LIU
China Journal of Chinese Materia Medica 2025;50(5):1427-1436
Following the release of the Technical Requirements on Quality Control and Standard Establishment of Traditional Chinese Medicine Formula Granules by the National Medical Products Administration in 2021, Chinese Pharmacopoeia Commission has promulgated 296 national drug standards so far, and most provinces have started the work of establishing provincial standards as supplements. The promulgation of standards fostered high-quality development of the industry. Since the implementation of national and provincial standards for more than three years, enterprises have gained deep understanding and hands-on experiences on the characteristics, technical requirements, production process, and quality control of traditional Chinese medicine(TCM) formula granules. Meanwhile, challenges have emerged restricting the high-quality development of this industry, including how to formulate quality control strategies for medicinal materials and decoction pieces, how to reduce manufacturing costs, and how to improve the pass rate and product stability under high standards. Based on the work experiences from standard management and process research, this article analyzed the distribution of sources, processing methods, dry extract rate ranges, process requirements for volatile oil-containing decoction pieces, control measures of safety indices, characteristics and trends of setting characteristic chromatograms or fingerprints, characteristics and trends of setting content ranges, and main differences between national standards and provincial standards. On the one hand, this article aims to present main characteristics for deeply understanding different indicators in standards and provide basic ideas for establishing quality and process control systems. On the other hand, from the perspective of industrial practice, suggestions are put forward on the important aspects that need to be focused on in the quality and process control of TCM formula granules.
Drugs, Chinese Herbal/chemistry*
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Quality Control
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Medicine, Chinese Traditional/standards*
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China
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Drug Industry/standards*
9.A Method for Detecting Depression in Adolescence Based on an Affective Brain-Computer Interface and Resting-State Electroencephalogram Signals.
Zijing GUAN ; Xiaofei ZHANG ; Weichen HUANG ; Kendi LI ; Di CHEN ; Weiming LI ; Jiaqi SUN ; Lei CHEN ; Yimiao MAO ; Huijun SUN ; Xiongzi TANG ; Liping CAO ; Yuanqing LI
Neuroscience Bulletin 2025;41(3):434-448
Depression is increasingly prevalent among adolescents and can profoundly impact their lives. However, the early detection of depression is often hindered by the time-consuming diagnostic process and the absence of objective biomarkers. In this study, we propose a novel approach for depression detection based on an affective brain-computer interface (aBCI) and the resting-state electroencephalogram (EEG). By fusing EEG features associated with both emotional and resting states, our method captures comprehensive depression-related information. The final depression detection model, derived through decision fusion with multiple independent models, further enhances detection efficacy. Our experiments involved 40 adolescents with depression and 40 matched controls. The proposed model achieved an accuracy of 86.54% on cross-validation and 88.20% on the independent test set, demonstrating the efficiency of multimodal fusion. In addition, further analysis revealed distinct brain activity patterns between the two groups across different modalities. These findings hold promise for new directions in depression detection and intervention.
Humans
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Male
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Female
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Adolescent
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Case-Control Studies
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Depression/diagnosis*
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Early Diagnosis
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Rest
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Electroencephalography/methods*
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Brain-Computer Interfaces
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Models, Psychological
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Reproducibility of Results
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Affect/physiology*
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Photic Stimulation/methods*
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Video Recording
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Brain/physiopathology*
10.An upgraded nuclease prime editor platform enables high-efficiency singled or multiplexed knock-in/knockout of genes in mouse and sheep zygotes.
Weijia MAO ; Pei WANG ; Lei ZHOU ; Dongxu LI ; Xiangyang LI ; Xin LOU ; Xingxu HUANG ; Feng WANG ; Yanli ZHANG ; Jianghuai LIU ; Yongjie WAN
Protein & Cell 2025;16(8):732-738


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