Kai Zheng

Shenyang Jianzhu University

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Shicong Tang

Kunming Medical University

Dequan Liu

First Affiliated Hospital of Dalian Medical University

Jiawen Zhao

Shanghai Jiao Tong University

Rong Guo

Kunming Medical University

Yingzhu Zhao

Shandong Provincial QianFoShan Hospital

Huimeng Li

Kunming Medical University

Shuo Hu

Xiangya Hospital Central South University

Yinghua Zhao

Third Affiliated Hospital of Southern Medical University

Zhuoyao Xie

Third Affiliated Hospital of Southern Medical University

Xi Zhang

Wenzhou Medical University

Cooperative Institutions

Kunming Medical University

Chinese Academy of Medical Sciences & Peking Union Medical College

Central South University

Chinese Academy of Sciences

Sichuan University

Southern Medical University

Peking University

Third Affiliated Hospital of Southern Medical University

Xiangya Hospital Central South University

Sun Yat-sen University

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Prediction of Treatment Response According to ASAS-EULAR Management Recommendations in 1 Year for Hip Involvement in Axial Spondyloarthritis Based on MRI and Clinical Indicators

Frontiers in Endocrinology (2021)

Zhuoyao Xie Zixiao Lu Hao Chen Qiang Ye Chang Guo

Background To predict the treatment response for axial spondyloarthritis (axSpA) with hip involvement in 1 year based on MRI and clinical indicators. Methods A total of 77 axSpA patients with hip involvement (60 males; median age, 25 years; interquartile, 22–31 years old) were treated with a drug recommended by the Assessment of SpondyloArthritis international Society and the European League Against Rheumatism (ASAS-EULAR) management. They were prospectively enrolled according to Assessment in SpondyloArthritis international Society (ASAS) criteria. Clinical indicators, including age, gender, disease duration, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), were collected at baseline and in 3 months to 1-year follow-up. Treatment response was evaluated according to ASAS response criteria. MRI indicators consisting of bone marrow edema (BME) in acetabulum and femoral head, hip effusion, fat deposition, thickened synovium, bone erosion, bone proliferation, muscle involvement, enthesitis and bony ankylosis were assessed at baseline. Spearman’s correlation analysis was utilized for indicator selection. The selected clinical and MRI indicators were integrated with previous clinical knowledge to develop multivariable logistic regression models. Receiver operator characteristic curve and area under the curve (AUC) were used to assess the performance of the constructed models. Results The model combining MR indicators comprising hip effusion, BME in acetabulum and femoral head and clinical indicators consisting of disease duration, ESR and CRP yielded AUC values of 0.811 and 0.753 for the training and validation cohorts, respectively. Conclusion The model combining MRI and clinical indicators could predict treatment response for axSpA with hip involvement in 1 year.

Interquartile range

Erythrocyte sedimentation rate

10.3389/fendo.2021.771997

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Intravoxel Incoherent Motion Imaging on Sacroiliitis in Patients With Axial Spondyloarthritis: Correlation With Perfusion Characteristics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Frontiers in Medicine (2022)

Chang Guo Kai Zheng Ye Qiang Zixiao Lu Zhuoyao Xie

To prospectively explore the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) parameters of sacroiliitis in patients with axial spondyloarthritis (axSpA).Patients with initially diagnosed axSpA prospectively underwent on 3.0 T MRI of sacroiliac joint (SIJ). The IVIM parameters (D, f, D*) were calculated using biexponential analysis. Ktrans, Kep, Ve, and Vp from DCE-MRI were obtained in SIJ. The uni-variable and multi-variable linear regression analyses were used to evaluate the correlation between the parameters from these two imaging methods after controlling confounders, such as bone marrow edema (BME), age, agenda, scopes, and localization of lesions, and course of the disease. Then, their correlations were measured by calculating the Pearson's correlation coefficient (r).The study eventually enrolled 234 patients (178 men, 56 women; mean age, 28.51 ± 9.50 years) with axSpA. With controlling confounders, D was independently related to Ktrans (regression coefficient [b] = 27.593, p < 0.001), Kep (b = -6.707, p = 0.021), and Ve (b = 131.074, p = 0.003), whereas f and D* had no independent correlation with the parameters from DCE MRI. The correlations above were exhibited with Pearson's correlation coefficients (r) (r = 0.662, -0.408, and 0.396, respectively, all p < 0.001).There were independent correlations between D derived from IVIM DWI and Ktrans, Kep, and Ve derived from DCE-MRI. The factors which affect their correlations mainly included BME, gender, and scopes of lesions.

Intravoxel incoherent motion

Axial spondyloarthritis

Dynamic contrast

Sacroiliac joint

10.3389/fmed.2021.798845

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The treatment process of an extremely rare giant borderline phyllodes tumor of breast: case report and literature review

Translational Cancer Research (2021)

Qing Wang Kai Zheng Lei Zhang Mingjian Tan Hongwan Li

Giant phyllodes tumors are rare fibroepithelial neoplasms, usually defined as >10 cm. It is often difficult for pathologists to distinguish fibroadenomas from phyllodes tumors and determine the malignant potential level. The current treatment principle is to ensure the extended resection of tumors with a margin of 1 cm or more. For patients with multiple local recurrences or large tumors after surgery, simple mastectomy is recommended. Axillary management should be considered when breast cancer is diagnosed at the same time. We now present a rare case: a female patient found a right breast mass in 2014, and the mass had continued to grow for more than 7 months, and she was ultimately diagnosed with a giant phyllodes tumor with a diameter of 30 cm. Extensive resection is a suitable method to treat smaller phyllodes tumors, but giant phyllodes tumors require mastectomy, so the patient in this case underwent a total mastectomy. We removed the mass completely without destroying the normal tissue and structure. The treatment effect was obvious, and no related adverse events occurred during or after the operation, the postoperative recovery was good, and the patient was discharged once she was verified to be in a stable condition. This case is the first reported case of a patient who had a giant borderline phyllodes tumor with a diameter of 30 cm, underwent total mastectomy, and was followed up for 6 months without recurrence. The long-term effect of the treatment will be further evaluated after 5 years.

10.21037/tcr-20-3461

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Favorable Prognostic Impact of Cathepsin H (CTSH) High Expression in Thyroid Carcinoma

International Journal of General Medicine (2021)

Pai Peng Jiang-Yuan Chen Kai Zheng Chao-Hua Hu Yuntao Han

Presently, no study reported the function of cathepsin H (CTSH) in thyroid carcinoma (THCA). The aim of present study was to initially explore the factors affecting CTSH expression, and association between CTSH expression and survival rate in THCA.We explored mRNA expression of CTSH in normal and BRCA tissues, and evaluated prognostic impact of CTSH expression on the overall survival of THCA patients. Then, related factors influencing CTSH mRNA expression in THCA were analyzed. Functional enrichment analysis was performed to reveal the potential function of CTSH involved in THCA. We also constructed PPI network among co-expressed genes of CTSH to determine hub genes, followed by association analysis on hub genes with CTSH.(1) CTSH mRNA was highly expressed in THCA compared with normal group (P<0.001). High expression of CTSH was conducive to the overall survival of THCA patients (P=0.0027). CTSH was then determined as an independent prognostic factor in THCA (P=0.024). (2) The mRNA expression of CTSH was statistically related to patient's histological type, N stage, T stage, tumor stage and sample type (all P<0.001). CTSH copy number variation and methylation also influenced its mRNA expression (all P<0.001). (3) Pathway analysis indicated that CTSH mainly participated in cancer-related pathways, such as hedgehog signaling pathway, cytokine-cytokine receptor interaction and JAK-STAT signaling pathway (all P<0.05). (4) The top 10 co-expressed genes in whole PPI network showed significant correlation with CTSH expression (all P<0.001).CTSH higher expression was observed in THCA, which caused a good prognosis of patients. CTSH expression might be regulated by multiple factors including clinical characteristic, methylation, copy number and other genes. This study demonstrated the clinical significance of CTSH in THCA, as well as revealed the potential pathway associated with CTSH involved in thyroid cancer.

10.2147/ijgm.s327689

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Analysis of the use of [68Ga]Ga-FAPI and [18F]FDG PET/CT for diagnosing and staging non-small cell lung cancer

Research Square (Research Square) (2022)

Junhao Wu Hao Deng Haoshu Zhong Tao Wang Kai Zheng

Abstract Purpose The current research was developed for comparing the relative diagnostic utility of [ 68 Ga]Ga-FAPI PET/CT and [ 18 F]FDG PET/CT when evaluating initial tumors and metastases in non-small cell lung cancer (NSCLC) patients. Methods A prospective analysis of 28 individuals with histopathologically confirmed NSCLC that underwent [ 68 Ga]Ga-FAPI and [ 18 F]FDG PET/CT imaging was conducted. The relative performance of these different imaging modalities was compared based upon visual assessment, rates of cancer detection, and metabolic parameters (target-to-background ratio [TBR], maximum standard uptake value [SUVmax]) for both primary tumors and metastases. Results In total, this study enrolled 28 cases (13 male, 15 female; median age: 60.5 years, range: 34–78 years. [ 68 Ga]Ga-FAPI PET/CT imaging was found to more effectively discern both metastases and primary tumors as compared to [ 18 F]FDG PET/CT imaging, detecting more primary tumors (28 vs. 27), as well as metastases present within the lymph nodes (53 vs. 49), pleura (8 vs. 7), liver (4 vs. 1), and bone (41 vs. 35). In contrast, [ 68 Ga]Ga-FAPI PET/CT was not capable of detecting as many adrenal metastases as was [ 18 F]FDG PET/CT imaging (0 vs. 2). The SUVmax and TBR values for [ 68 Ga]Ga-FAPI were substantially superior to those for [ 18 F]FDG in lymph node, pleural, and bone metastases. While the SUVmax for these two imaging approaches was comparable for hepatic metastases, [ 68 Ga]Ga-FAPI exhibited a significantly higher TBR in relation to that of [ 18 F]FDG. [ 68 Ga]Ga-FAPI additionally exhibited greater accuracy than that achieved for [ 18 F]FDG PET/CT when used to conduct NSCLC patient N-staging (80% [8/10] vs. 50% [5/10]) and M-staging (92.9% [26/28] vs. 89.3% [25/28]). Conclusions These data highlight the value of [ 68 Ga]Ga-FAPI PET/CT imaging as an approach of diagnosing and staging NSCLC, improving the diagnosis of most metastases and facilitating the superior staging of NSCLC patients relative to that achieved by [ 18 F]FDG PET/CT.

PET-CT

Standardized uptake value

10.21203/rs.3.rs-1443787/v1

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Research on Cigarette Butt Small Target Detection Using an Improved YOLOv8s Algorithm

2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE) (2024)

Mengxin Li Kai Zheng

10.1109/iciscae62304.2024.10761221

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GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning

IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022)

Qichang Zhao Guihua Duan Haochen Zhao Kai Zheng Yaohang Li

Drug discovery and drug repurposing often rely on the successful prediction of drug-target interactions (DTIs). Recent advances have shown great promise in applying deep learning to drug-target interaction prediction. One challenge in building deep learning-based models is to adequately represent drugs and proteins that encompass the fundamental local chemical environments and long-distance information among amino acids of proteins (or atoms of drugs). Another challenge is to efficiently model the intermolecular interactions between drugs and proteins, which plays vital roles in the DTIs. To this end, we propose a novel model, GIFDTI, which consists of three key components: the sequence feature extractor (CNNFormer), the global molecular feature extractor (GF), and the intermolecular interaction modeling module (IIF). Specifically, CNNFormer incorporates CNN and Transformer to capture the local patterns and encode the long-distance relationship among tokens (atoms or amino acids) in a sequence. Then, GF and IIF extract the global molecular features and the intermolecular interaction features, respectively. We evaluate GIFDTI on six realistic evaluation strategies and the results show it improves DTI prediction performance compared to state-of-the-art methods. Moreover, case studies confirm that our model can be a useful tool to accurately yield low-cost DTIs. The codes of GIFDTI are available at https://github.com/zhaoqichang/GIFDTI .

Representation

Intermolecular interaction

Drug target

10.1109/tcbb.2022.3225423

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Citations (12)

Correction to: Long noncoding RNA HOTAIR promotes breast cancer development through the lncRNA HOTAIR/miR-1/GOLPH3 axis

Clinical & Translational Oncology (2023)

Jiawen Zhao Lei Zhang Yingzhu Zhao Nan Wu Xi Zhang

HOTAIR

Competing Endogenous RNA

10.1007/s12094-023-03224-3

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Sympathetic activity is correlated with satellite cell aging and myogenesis via β2-adrenoceptor

Stem Cell Research & Therapy (2021)

Shiguo Yuan Sheng Zheng Kai Zheng Yanping Gao Meixiong Chen

Abstract Background and objective Sympathetic activity plays an important role in the proliferation and differentiation of stem cells, and it changes over time, thereby exerting differential effects on various stem cell types. Aging causes sympathetic hyperactivity in aged tissues and blunts sympathetic nerves regulation, and sympathetic abnormalities play a role in aging-related diseases. Currently, the effect of sympathetic activity on skeletal muscle stem cells, namely satellite cells (SCs), is unclear. This study aimed to investigate the effects of skeletal muscle sympathetic activity on SC aging and skeletal muscle repair. Materials and methods To evaluate skeletal muscle and fibrotic areas, numbers of SCs and myonuclei per muscle fiber, β2-adrenoceptor (β2-ADR) expression, muscle repair, and sympathetic innervation in skeletal muscle, aged mice, young mice that underwent chemical sympathectomy (CS) were utilized. Mice with a tibialis anterior muscle injury were treated by barium chloride (BaCl 2 ) and clenbuterol (CLB) in vivo. SCs or C2C12 cells were differentiated into myotubes and treated with or without CLB. Immunofluorescence, western blot, sirius red, and hematoxylin–eosin were used to evaluate SCs, myogenic repair and differentiation. Results The number of SCs, sympathetic activity, and reparability of muscle injury in aged mice were significantly decreased, compared with those in young mice. The above characteristics of young mice that underwent CS were similar to those of aged mice. While CLB promoted the repair of muscle injury in aged and CS mice and ameliorated the reduction in the SC number and sympathetic activity, the effects of CLB on the SCs and sympathetic nerves in young mice were not significant. CLB inhibited the myogenic differentiation of C2C12 cells in vitro. We further found that NF-κB and ERK1/2 signaling pathways were activated during myogenic differentiation, and this process could be inhibited by CLB. Conclusion Normal sympathetic activity promoted the stemness of SCs to thereby maintain a steady state. It also could maintain total and self-renewing number of SCs and maintain a quiescent state, which was correlated with skeletal SCs via β2-ADR. Normal sympathetic activity was also beneficial for the myogenic repair of injured skeletal muscle.

Sympathetic nervous system

10.1186/s13287-021-02571-8

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Metabolic Heterogeneity and Potential Immunotherapeutic Responses Revealed by Single-Cell Transcriptomics of Breast Cancer

APOPTOSIS (2024)

Shicong Tang Qing Wang Ke Sun Ying Song Rui Liu

Tumour heterogeneity

10.1007/s10495-024-01952-7

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Citations (4)