1.Effect of sitravatinib on a mouse model of carbon tetrachloride-induced liver fibrosis and its mechanism
Huan ZHANG ; Xiangyu WU ; Qianwen ZHAO ; Fajuan RUI ; Nan GENG ; Rui JIN ; Jie LI
Journal of Clinical Hepatology 2026;42(3):600-607
ObjectiveTo investigate the therapeutic effect of sitravatinib on carbon tetrachloride (CCl4)-induced liver fibrosis in mice. MethodsA total of 30 male C57BL/6J mice, aged 8 weeks, were randomly divided into control group, CCl4 model group, and low- (5 mg/kg), middle- (10 mg/kg), and high-dose (20 mg/kg) sitravatinib groups. All mice except those in the control group were given intraperitoneal injection of CCl4 for 4 consecutive weeks to induce liver fibrosis, and since the first day of modeling, the mice in the low-, middle-, and high-dose sitravatinib groups were given sitravatinib at the corresponding dose by gavage every day. The serum levels of total cholesterol (TC), triglyceride (TG), and alanine aminotransferase (ALT) were measured for the mice in each group; hepatic hydroxyproline content was measured; HE staining, Masson staining, and Sirius Red staining were used to observe liver histopathological changes; quantitative real-time PCR and Western blot were used to measure the mRNA and protein expression levels of α-smooth muscle actin (α-SMA) and collagen type I alpha 1 (Col1a1) in liver tissue. The therapeutic effect of sitravatinib was assessed based on the above results. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the control group, the model group had significant increases in the levels of TC, TG, and ALT (all P<0.05), and there were no significant differences in the levels of TC, TG, and ALT between the model group and the low-, middle-, and high-dose sitravatinib groups (all P>0.05). Hepatic hydroxyproline content decreased after sitravatinib intervention, with a significant difference between the middle-/high-dose sitravatinib groups and the CCl4 model group (both P<0.05). Histopathological staining showed that the sitravatinib treatment groups had a reduction in collagen deposition, along with thinning and fragmentation of fibrous septa, and in the high-dose sitravatinib group, 4 mice had a fibrosis stage of S0—S1 and 2 mice had a fibrosis stage of S2—S3, suggesting a certain degree of alleviation of liver fibrosis degree compared with the CCl4 model group (mainly S3—S4). The measurement of related molecules showed that sitravatinib downregulated the mRNA and protein expression levels of α-SMA and Col1a1 (all P<0.05). ConclusionSitravatinib can effectively alleviate CCl4-induced liver fibrosis in mice, possibly by inhibiting hepatic stellate cell activation and collagen synthesis.
2.Integrating Transcriptomics and 3D Organoids to Investigate Mechanism of Periplaneta americana Extract Against Lung Adenocarcinoma
Qiong MA ; Chunxia HUANG ; Jiawei HE ; Yuting BAI ; Xingyue LIU ; Yuxuan XIONG ; Yang ZHONG ; Hengzhou LAI ; Yuling JIANG ; Xueke LI ; Qian WANG ; Yifeng REN ; Xi FU ; Funeng GENG ; Taoqing WU ; Ping XIAO ; Fengming YOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):124-132
ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract(PAE) against human-derived lung adenocarcinoma organoids(LUAD-PDOs) and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid(Nor-PDOs) models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8(CCK-8) assay. Experimental groups included the model group(LUAD-PDOs), normal group, model administration group(LUAD-PDOs+PAE), and normal administration group(Nor-PDOs+PAE). Hematoxylin-eosin(HE) staining was used to observe the pathological structures of PDOs, immunohistochemistry(IHC) was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7(CK-7) and Napsin A, TUNEL staining was applied to detect cell apoptosis. RNA sequencing(RNA-Seq) was conducted to identify differentially expressed genes(DEGs), followed by Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), and Gene Set Enrichment Analysis(GSEA), alongside protein-protein interaction(PPI) network analysis to screen core mechanisms. Finally, key targets were validated by integrating external database analysis with immunofluorescence(IF). ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures, whereas LUAD-PDOs displayed dense, solid structures. CCK-8 and TUNEL assays revealed that, compared with the model group, PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells, while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention(347 up-regulated and 372 down-regulated)(P<0.05). GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism, including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway(P<0.05). PPI network analysis indicated that breast cancer type 1 susceptibility protein(BRCA1) and checkpoint kinase 1(CHEK1) were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention(P<0.05). Furthermore, survival analysis based on The Cancer Genome Atlas(TCGA) database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD(P<0.05). ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis, its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway, with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.
3.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
4.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
5.Vascular Protection of Neferine on Attenuating Angiotensin II-Induced Blood Pressure Elevation by Integrated Network Pharmacology Analysis and RNA-Sequencing Approach.
A-Ling SHEN ; Xiu-Li ZHANG ; Zhi GUO ; Mei-Zhu WU ; Ying CHENG ; Da-Wei LIAN ; Chang-Geng FU ; Jun PENG ; Min YU ; Ke-Ji CHEN
Chinese journal of integrative medicine 2025;31(8):694-706
OBJECTIVE:
To explore the functional roles and underlying mechanisms of neferine in the context of angiotensin II (Ang II)-induced hypertension and vascular dysfunction.
METHODS:
Male mice were infused with Ang II to induce hypertension and randomly divided into treatment groups receiving neferine or a control vehicle based on baseline blood pressure using a random number table method. The hypertensive mouse model was constructed by infusing Ang II via a micro-osmotic pump (500 ng/kg per minute), and neferine (0.1, 1, or 10 mg/kg), valsartan (10 mg/kg), or double distilled water was administered intragastrically once daily for 6 weeks. A non-invasive blood pressure system, ultrasound, and hematoxylin and eosin staining were performed to assess blood pressure and vascular changes. RNA sequencing and network pharmacology were employed to identify differentially expressed transcripts (DETs) and pathways. Vascular ring tension assay was used to test vascular function. A7R5 cells were incubated with neferine for 24 h and then treated with Ang II to record the real-time Ca2+ concentration by confocal microscope. Immunohistochemistry (IHC) and Western blot were used to evaluate vasorelaxation, calcium, and the extracellular signal-regulated kinase (ERK)1/2 pathway.
RESULTS:
Neferine treatment effectively mitigated the elevation in blood pressure, pulse wave velocity, aortic thickening in the abdominal aorta of Ang II-infused mice (P<0.05). RNA sequencing and network pharmacology analysis identified 355 DETs that were significantly reversed by neferine treatment, along with 25 potential target genes, which were further enriched in multiple pathways and biological processes, such as ERK1 and ERK2 cascade regulation, calcium pathway, and vascular smooth muscle contraction. Further investigation revealed that neferine treatment enhanced vasorelaxation and reduced Ca2+-dependent contraction of abdominal aortic rings, independent of endothelium function (P<0.05). The underlying mechanisms were mediated, at least in part, via suppression of receptor-operated channels, store-operated channels, or voltage-operated calcium channels. Neferine pre-treatment demonstrated a reduction in intracellular Ca2+ release in Ang II stimulated A7R5 cells. IHC staining and Western blot confirmed that neferine treatment effectively attenuated the upregulation of p-ERK1/2 both in vivo and in vitro, which was similar with treatment of ERK1/2 inhibitor PD98059 (P<0.05).
CONCLUSIONS
Neferine remarkably alleviates Ang II-induced elevation of blood pressure, vascular dysfunction, and pathological changes in the abdominal aorta. This beneficial effect is mediated by the modulation of multiple pathways, including calcium and ERK1/2 pathways.
Animals
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Angiotensin II
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Male
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Benzylisoquinolines/therapeutic use*
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Network Pharmacology
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Blood Pressure/drug effects*
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Sequence Analysis, RNA
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Mice
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Hypertension/chemically induced*
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Mice, Inbred C57BL
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Calcium/metabolism*
6.Discovery of a potential hematologic malignancies therapy: Selective and potent HDAC7 PROTAC degrader targeting non-enzymatic function.
Yuheng JIN ; Xuxin QI ; Xiaoli YU ; Xirui CHENG ; Boya CHEN ; Mingfei WU ; Jingyu ZHANG ; Hao YIN ; Yang LU ; Yihui ZHOU ; Ao PANG ; Yushen LIN ; Li JIANG ; Qiuqiu SHI ; Shuangshuang GENG ; Yubo ZHOU ; Xiaojun YAO ; Linjie LI ; Haiting DUAN ; Jinxin CHE ; Ji CAO ; Qiaojun HE ; Xiaowu DONG
Acta Pharmaceutica Sinica B 2025;15(3):1659-1679
HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.
7.Expert consensus on peri-implant keratinized mucosa augmentation at second-stage surgery.
Shiwen ZHANG ; Rui SHENG ; Zhen FAN ; Fang WANG ; Ping DI ; Junyu SHI ; Duohong ZOU ; Dehua LI ; Yufeng ZHANG ; Zhuofan CHEN ; Guoli YANG ; Wei GENG ; Lin WANG ; Jian ZHANG ; Yuanding HUANG ; Baohong ZHAO ; Chunbo TANG ; Dong WU ; Shulan XU ; Cheng YANG ; Yongbin MOU ; Jiacai HE ; Xingmei YANG ; Zhen TAN ; Xiaoxiao CAI ; Jiang CHEN ; Hongchang LAI ; Zuolin WANG ; Quan YUAN
International Journal of Oral Science 2025;17(1):51-51
Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans
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Consensus
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Dental Implants
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Mouth Mucosa/surgery*
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Keratins
8.The Electromyography Characteristics of Tomoa Skip Technique for High-Level Male Speed Climbers
Guopeng YOU ; Xie WU ; Hongmei LI ; Yu GENG ; Shaocong ZHAO
Journal of Medical Biomechanics 2025;40(3):553-560
Objective To analyze the electromyography(EMG)characteristics of high-level male speed climbers using Tomoa skip technique,and provide a theoretical basis for the determination of special strength training methods and means.Methods Ten male speed climbers at national first level or above were recruited,and their kinematics and surface EMG signal data using Tomoa skip technique during climbing the official route were collected.Results For using Tomoa skip technique,the order of the main muscle contribution rate for high-level male speed climbers was biceps brachii,triceps brachii,flexor digitorum superficialis,latissimus dorsi,anterior tibial,vastus lateralis,gluteus maximus,medial head of gastrocnemius muscle.The sum of all muscle contribution rates of the left side,the contribution rate of biceps brachii and triceps brachii were significantly lower than that of the right side(P<0 05).The contribution rate of medial head of left gastrocnemius muscle was significantly higher than that of right side(P<0.05).The level of activation of the left biceps brachii was significantly lower than that of the right side(P<0.05).The co-contraction indexes of left elbow joint and ankle joint,right elbow joint and ankle joint were 0.93±0.21,1.33±0.14,0.72±0.10,2.08±0.59,respectively.The co-contraction level of the left elbow joint and ankle joint was significantly higher than that of the right side(P<0.05).Conclusions High-level male speed climbers using Tomoa skip technique showed obvious EMG characteristics,and the contribution rate of the upper limb muscles and latissimus dorsi were higher than that of the lower limb.The activation mode of elbow joint was dominated by biceps brachii,and that of ankle joint was dominated by anterior tibial muscle.There exsited differences between the left and right limbs in coordinated movement modes.The difference of contribution rate and activation level of the upper limb between the left and right side was more than that of the lower limb.
9.MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome
Fan ZHAO ; Hongda LOU ; Weina WU ; Yingwei CHANG ; Hua GENG ; Limei JIA ; Guiping LI ; Yuping LI
Chinese Journal of Medical Imaging Technology 2025;41(6):963-966
Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P<0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P<0.05)but not significantly different with that of the combined model(AUC=0.905,P>0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.
10.Diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome
Fan ZHAO ; Hongda LOU ; Weina WU ; Yingwei CHANG ; Hua GENG ; Yuping LI
Journal of Practical Radiology 2025;41(1):85-88,137
Objective To explore the diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome(CTS).Methods Seventy patients with mild CTS and 86 healthy volunteers who underwent wrist MRI examination were retrospectively selected.MRI fat-suppressed proton density weighted imaging(PDWI)were imported into 3D Slicer software,and the region of interest(ROI)delineation was performed by two radiologists independently.The 830 radiomics parameters were extracted,including first-order fea-tures,shape features,texture features,and wavelet-transform features.Radiomics parameter selection was performed through observer intraclass correlation coefficient(ICC),correlation analysis,and multivariate logistic regression.Five diagnostic models were estab-lished,including logistic regression,support vector machine,naive Bayes,decision tree,and random forest.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic efficiency of the models.Results Seven radiomics features were selected for inclusion in the diagnostic models.The logistic regression model demonstrated the best performance,with an area under the curve(AUC)of 0.91[95%confidence interval(CI)0.86-0.96],a sensitivity of 88.63%,and a specificity of 89.00%in the training group.In the test group,the AUC was 0.92(95%CI 0.85-0.97),with a sensitivity of 90.48%and a specificity of 84.62%.Conclusion MRI radiomics analysis can be used to diagnose mild CTS,and the logistic regression model demonstrates superior diagnostic per-formance.

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