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Ma Q, Liu Z, Zhang J, Fu C, Li R, Sun Y, Tong T, Gu Y. Multi-task reconstruction network for synthetic diffusion kurtosis imaging: Predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer. Eur J Radiol 2024; 174:111402. [PMID: 38461737 DOI: 10.1016/j.ejrad.2024.111402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/12/2024] [Accepted: 02/29/2024] [Indexed: 03/12/2024]
Abstract
PURPOSE To assess the feasibility and clinical value of synthetic diffusion kurtosis imaging (DKI) generated from diffusion weighted imaging (DWI) through multi-task reconstruction network (MTR-Net) for tumor response prediction in patients with locally advanced rectal cancer (LARC). METHODS In this retrospective study, 120 eligible patients with LARC were enrolled and randomly divided into training and testing datasets with a 7:3 ratio. The MTR-Net was developed for reconstructing Dapp and Kapp images from apparent diffusion coefficient (ADC) images. Tumor regions were manually segmented on both true and synthetic DKI images. The synthetic image quality and manual segmentation agreement were quantitatively assessed. The support vector machine (SVM) classifier was used to construct radiomics models based on the true and synthetic DKI images for pathological complete response (pCR) prediction. The prediction performance for the models was evaluated by the receiver operating characteristic (ROC) curve analysis. RESULTS The mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index measure (SSIM) for tumor regions were 0.212, 24.278, and 0.853, respectively, for the synthetic Dapp images and 0.516, 24.883, and 0.804, respectively, for the synthetic Kapp images. The Dice similarity coefficient (DSC), positive predictive value (PPV), sensitivity (SEN), and Hausdorff distance (HD) for the manually segmented tumor regions were 0.786, 0.844, 0.755, and 0.582, respectively. For predicting pCR, the true and synthetic DKI-based radiomics models achieved area under the curve (AUC) values of 0.825 and 0.807 in the testing datasets, respectively. CONCLUSIONS Generating synthetic DKI images from DWI images using MTR-Net is feasible, and the efficiency of synthetic DKI images in predicting pCR is comparable to that of true DKI images.
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Affiliation(s)
- Qiong Ma
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - Zonglin Liu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - Jiadong Zhang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China; School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China
| | - Caixia Fu
- MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen 518057, China
| | - Rong Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China
| | - Yiqun Sun
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China.
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China.
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Tong T, Li P, Ding H, Huang Y, Liu S. Physical compatibility of Xuebijing injection with 53 intravenous drugs during simulated Y-site administration. PLoS One 2024; 19:e0299694. [PMID: 38517862 PMCID: PMC10959390 DOI: 10.1371/journal.pone.0299694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 02/15/2024] [Indexed: 03/24/2024] Open
Abstract
OBJECTIVE Xuebijing injection (XBJ) is a commonly used herbal medicine injection in China. However, the physical compatibility of XBJ with other intravenous drugs remains unclear. The purpose of this research is to evaluate physical compatibility of Xuebijing injection (XBJ) with 53 intravenous drugs (including 31 Chinese medicine injections and 22 chemicals) during simulated Y-site administration. METHODS Y-site administration was simulated in vitro by admixing 0.33 ml/ml XBJ with an equal volume of other diluted 53 intravenous drugs, respectively. Physical compatibility including visual inspection, Tyndall beam, particle limits, turbidity, pH, chromacity value, spectroscopic absorption of 550 nm and 420 nm (A550 nm and A420 nm) were observed and assessed at 0, 1, 2, and 4 h. Physical compatibility was defined as all solutions with no color changes, no gas evolution, particulate formation and no Tyndall beam within 4 hours, turbidity changes <0.5 nephelometric turbidity unit (NTU) compared to 0 h, particle limits allowed by the Chinese Pharmacopoeia (Ch.P) 2020 edition, pH changes <10% compared to 0, chromacity value changes <200 compared to 0 h, or photometrical changes of A420 nm <0.0400 or A550 nm <0.0100 compared to 0 h. RESULTS XBJ was physically incompatible with 27 of the 53 intravenous drugs tested, 26 were compatible with XBJ for 4 h. CONCLUSIONS XBJ should not be simultaneously co-administered with 27 of the 53 intravenous drugs during simulated Y-site. If coadministration was inevitable, flushing tube with NS or D5W before and after infusion of XBJ was needed. Assessment included visual inspection, Tyndall beam, turbidity measurement, particle counts, pH measurement, chromacity value measurement and absorption of A550 nm were proved to be valid and robust for the quality control of infusion and compatibility of Chinese herbal injection.
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Affiliation(s)
- Tong Tong
- Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, P.R. China
- Anhui Provincial Key Laboratory of Precision Pharmaceutical Preparations and Clinical Pharmacy, Hefei, Anhui, China
| | - Peifang Li
- Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, P.R. China
- Anhui Provincial Key Laboratory of Precision Pharmaceutical Preparations and Clinical Pharmacy, Hefei, Anhui, China
| | - Haiwen Ding
- Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, P.R. China
- Anhui Provincial Key Laboratory of Precision Pharmaceutical Preparations and Clinical Pharmacy, Hefei, Anhui, China
| | - Ying Huang
- Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, P.R. China
- Anhui Provincial Key Laboratory of Precision Pharmaceutical Preparations and Clinical Pharmacy, Hefei, Anhui, China
| | - Sheng Liu
- Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, P.R. China
- Anhui Provincial Key Laboratory of Precision Pharmaceutical Preparations and Clinical Pharmacy, Hefei, Anhui, China
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Tong T, Jin YH, Wang M, Gong FQ. Treatment of multisystem inflammatory syndrome in children. World J Pediatr 2024:10.1007/s12519-024-00798-y. [PMID: 38509432 DOI: 10.1007/s12519-024-00798-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/29/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Multisystem inflammatory syndrome in children (MIS-C), a relatively uncommon but severe pediatric complication, is associated with coronavirus disease 2019 (COVID-19). A variety of treatment approaches, including intravenous immunoglobulins (IVIGs), glucocorticoids (GCs) and biologic agents, such as anakinra and infliximab, have been described for the management of COVID-19-related MIS-C. Anticoagulant therapy is also important. However, a well-developed treatment system has not been established, and many issues remain controversial. Several recently published articles related to the treatment of MIS-C have been released. Hence, in this review, we identified relevant articles published recently and summarized the treatment of MIS-C more comprehensively and systematically. DATA SOURCES We reviewed the literature on the treatment of MIS-C through 20 September 2023. The PubMed/Medline, Web of Science, EMBASE, and Cochrane Library databases were searched with the combination of the terms "multisystem inflammatory syndrome", "MIS-C", "PIMS-TS", "therapy", "treatment", "drug", "IVIG", "GCs", "intravenous immunoglobulin", "corticosteroids", "biological agent", and "aspirin". RESULTS The severity of MIS-C varies, and different treatment schemes should be used according to the specific condition. Ongoing research and data collection are vital to better understand the pathophysiology and optimal management of MIS-C. CONCLUSIONS MIS-C is a disease involving multiple systems and has great heterogeneity. With the accumulation of additional experience, we have garnered fresh insights into its treatment strategies. However, there remains a critical need for greater standardization in treatment protocols, alongside the pressing necessity for more robust and meticulously conducted studies to deepen our understanding of these protocols. Supplementary file1 (MP4 208044 kb).
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Affiliation(s)
- Tong Tong
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Hangzhou, 310052, China
| | - Yi-Hua Jin
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Hangzhou, 310052, China
| | - Min Wang
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Hangzhou, 310052, China
| | - Fang-Qi Gong
- Department of Cardiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, No. 3333 Binsheng Road, Hangzhou, 310052, China.
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Tong T, Su D, Yang Q, Yang K, Liu Y, Wang Q, Tian T. Multiple high-risk HPV infections probably associated with a higher risk of low-grade cytological abnormalities but not with high-grade intraepithelial lesions of the cervix. World J Surg Oncol 2024; 22:79. [PMID: 38486308 PMCID: PMC10938671 DOI: 10.1186/s12957-024-03360-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND For women diagnosed with HR-HPV DNA positivity in community hospitals, the necessity of investigating the potential presence of multiple HR-HPV infections upon referral to tertiary medical institutions remains unclear. METHODS In our cohort, women tested positive for HR-HPV DNA during examinations in community hospitals, were subsequently referred to tertiary medical facilities, reevaluated HR-HPV genotype and categorized based on cytological and histopathological results. The risk of cytologic/histopathology abnormalities and ≧ high grade squamous intraepithelial lesion(HSIL) or Cervical Intraepithelial Neoplasia (CIN) 2 associated with individual genotypes and related multiple HPV infections are calculated. RESULTS A total of 1677 women aged between 21 and 77 were finally included in the present study. The cytology group included 1202 women and the histopathological group included 475 women with at least one HR-HPV infection of any genotype. We only observed a higher risk of low grade cytological abnormalities in women with multiple infections than those in corresponding single infections (for all population with an OR of 1.85[1.39-2.46]; p < 0.05). However, this phenomenon was not observed in histopathology abnormalities (CIN1). The risk of developing of ≥ HSIL/CIN2 in women who were infected with multiple HR-HPV also showed a similar profile to those with a single HR-HPV genotype. CONCLUSION Multiple HR-HPV infections is only associated with a higher associated risk of low grade cytological abnormalities. There is no evidence of clinical benefit to identify the possible presence of multiple HR-HPV infection frequently in a short period of time for women with HR-HPV-DNA positive.
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Affiliation(s)
- Tong Tong
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Di Su
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Qi Yang
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Kun Yang
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Yuqi Liu
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Qun Wang
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Tian Tian
- Department of Reproductive Medicine, Department of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, Jilin, China.
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Wang Y, Tong T, Zhang J, Miao D, Wang F, Wang L. The Canal Bone Ratio: A Novel Indicator for Opportunistic Osteoporosis Screening in Adult Spinal Deformity Patients through Radiographs. Spine (Phila Pa 1976) 2024:00007632-990000000-00616. [PMID: 38475669 DOI: 10.1097/brs.0000000000004987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/04/2024] [Indexed: 03/14/2024]
Abstract
STUDY DESIGN Retrospective diagnostic study. OBJECTIVES To evaluate the utility of quantitative assessment of bone density using proximal femoral morphological parameters based on full-spine X-rays. SUMMARY OF BACKGROUND DATA CT and MRI are commonly utilized methods for opportunistic assessment of bone density. However, there is currently a lack of means to quantitatively assess bone density in adult spinal deformity (ASD) patients through radiographs. METHODS Data collection involved medical records of ASD patients treated at our hospital. Patients were categorized into osteoporotic and non-osteoporotic groups based on DEXA T-scores. Demographic information, radiographic parameters (canal bone ratio, CBR; cortical bone thickness, CBT), Hounsfield units (HUs) and vertebral body quality (VBQ) score were compared. Pearson correlation analysis was conducted to assess the correlation between CBR, CBT, and T-scores. Multiple linear regression analysis identified independent predictors of bone density T-scores. Receiver operating characteristic (ROC) curves and area under the curve (AUC) calculations were performed to investigate the predictive performance for osteoporosis. RESULTS A total of 102 patients were included, with the osteoporotic group showing larger CBR and smaller CBT compared to the non-osteoporotic group. Proximal femoral morphological parameters exhibited the strongest correlation with total hip T-scores. Advanced age (β=-0.028, 95%CI=-0.054 to -0.002, P=0.032), low BMI (β=0.07, 95%CI=0.014 to 0.126, P=0.015), and high CBR (β=-7.772, 95%CI=-10.519 to -5.025, P<0.001) were identified as independent predictors of low bone density. ROC analysis demonstrated that CBR had a similar osteoporosis screening capability as HUs, followed by CBT and VBQ score. CONCLUSION The utilization of CBR from full-spine X-rays is a simple and effective osteoporosis screening indicator for ASD patients, facilitating bone density assessments by spine surgeons for all attending patients.
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Affiliation(s)
- Yunsheng Wang
- Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Tong Tong
- Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Jiali Zhang
- Department of Pharmacology, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dechao Miao
- Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Feng Wang
- Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Linfeng Wang
- Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
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Huang Y, Yang G, Yu Z, Tong T, Huang Y, Zhang Q, Hong Y, Jiang J, Zhang G, Yuan Y. Amino-Acid-Encoded Bioinspired Supramolecular Self-Assembly of Multimorphological Nanocarriers. Small 2024:e2311351. [PMID: 38453673 DOI: 10.1002/smll.202311351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/19/2024] [Indexed: 03/09/2024]
Abstract
Supramolecular self-assembly has emerged as an efficient tool to construct well-organized nanostructures for biomedical applications by small organic molecules. However, the physicochemical properties of self-assembled nanoarchitectures are greatly influenced by their morphologies, mechanical properties, and working mechanisms, making it challenging to design and screen ideal building blocks. Herein, using a biocompatible firefly-sourced click reaction between the cyano group of 2-cyano-benzothiazole (CBT) and the 1,2-aminothiol group of cysteine (Cys), an amino-acid-encoded supramolecular self-assembly platform Cys(SEt)-X-CBT (X represents any amino acid) is developed to incorporate both covalent and noncovalent interactions for building diverse morphologies of nanostructures with bioinspired response mechanism, providing a convenient and rapid strategy to construct site-specific nanocarriers for drug delivery, cell imaging, and enzyme encapsulation. Additionally, it is worth noting that the biodegradation of Cys(SEt)-X-CBT generated nanocarriers can be easily tracked via bioluminescence imaging. By caging either the thiol or amino groups in Cys with other stimulus-responsive sites and modifying X with probes or drugs, a variety of multi-morphological and multifunctional nanomedicines can be readily prepared for a wide range of biomedical applications.
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Affiliation(s)
- Yifan Huang
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, China
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
| | - Guokun Yang
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Zian Yu
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
| | - Tong Tong
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
| | - Yan Huang
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Qianzijing Zhang
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Yajian Hong
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
| | - Jun Jiang
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
| | - Guozhen Zhang
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Yue Yuan
- Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
- Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, 230031, China
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Xia W, Li D, He W, Pickhardt PJ, Jian J, Zhang R, Zhang J, Song R, Tong T, Yang X, Gao X, Cui Y. Multicenter Evaluation of a Weakly Supervised Deep Learning Model for Lymph Node Diagnosis in Rectal Cancer at MRI. Radiol Artif Intell 2024; 6:e230152. [PMID: 38353633 DOI: 10.1148/ryai.230152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Purpose To develop a Weakly supervISed model DevelOpment fraMework (WISDOM) model to construct a lymph node (LN) diagnosis model for patients with rectal cancer (RC) that uses preoperative MRI data coupled with postoperative patient-level pathologic information. Materials and Methods In this retrospective study, the WISDOM model was built using MRI (T2-weighted and diffusion-weighted imaging) and patient-level pathologic information (the number of postoperatively confirmed metastatic LNs and resected LNs) based on the data of patients with RC between January 2016 and November 2017. The incremental value of the model in assisting radiologists was investigated. The performances in binary and ternary N staging were evaluated using area under the receiver operating characteristic curve (AUC) and the concordance index (C index), respectively. Results A total of 1014 patients (median age, 62 years; IQR, 54-68 years; 590 male) were analyzed, including the training cohort (n = 589) and internal test cohort (n = 146) from center 1 and two external test cohorts (cohort 1: 117; cohort 2: 162) from centers 2 and 3. The WISDOM model yielded an overall AUC of 0.81 and C index of 0.765, significantly outperforming junior radiologists (AUC = 0.69, P < .001; C index = 0.689, P < .001) and performing comparably with senior radiologists (AUC = 0.79, P = .21; C index = 0.788, P = .22). Moreover, the model significantly improved the performance of junior radiologists (AUC = 0.80, P < .001; C index = 0.798, P < .001) and senior radiologists (AUC = 0.88, P < .001; C index = 0.869, P < .001). Conclusion This study demonstrates the potential of WISDOM as a useful LN diagnosis method using routine rectal MRI data. The improved radiologist performance observed with model assistance highlights the potential clinical utility of WISDOM in practice. Keywords: MR Imaging, Abdomen/GI, Rectum, Computer Applications-Detection/Diagnosis Supplemental material is available for this article. Published under a CC BY 4.0 license.
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Affiliation(s)
- Wei Xia
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Dandan Li
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Wenguang He
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Perry J Pickhardt
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Junming Jian
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Rui Zhang
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Junjie Zhang
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Ruirui Song
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Tong Tong
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Xiaotang Yang
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Xin Gao
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
| | - Yanfen Cui
- From the Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (W.X., J.J., R.Z., X.G.); Department of Radiology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China (D.L., J.Z., R.S., X.Y., X.G., Y.C.); Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China (W.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, Madison, Wis (P.J.P.); Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China (T.T.); Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China (T.T.); and Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China (Y.C.)
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Zhang Q, Xie Y, Zhang Y, Huang E, Meng L, Liu Y, Tong T. Effects of Dietary Supplementation with Chitosan on the Muscle Composition, Digestion, Lipid Metabolism, and Stress Resistance of Juvenile Tilapia ( Oreochromis niloticus) Exposed to Cadmium-Induced Stress. Animals (Basel) 2024; 14:541. [PMID: 38396509 PMCID: PMC10886040 DOI: 10.3390/ani14040541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 01/31/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
The aim of this study was to investigate the effects of dietary chitosan supplementation on the muscle composition, digestion, lipid metabolism, and stress resistance, and their related gene expression, of juvenile tilapia (Oreochromis niloticus) subjected to cadmium (Cd2+) stress. Juvenile tilapia with an initial body weight of 21.21 ± 0.24 g were fed with a formulated feed containing five different levels (0%, 0.5%, 1.0%, 1.5%, and 2.0%) of chitosan for 60 days, while the water in all experimental groups contained a Cd2+ concentration of 0.2 mg/L. The results showed that, compared with the control group (0% chitosan), the contents of crude fat and crude protein in the muscle, the activities of lipase, trypsin, and amylase in the intestine, as well as the relative expression levels of metallothionein (mt), cytochrome P450 1A (cyp1a), carnitine palmitoyltransferase-1 (cpt-1), peroxisome proliferator-activated receptor alpha (pparα), peroxisome proliferator-activated receptor gamma (pparγ), hormone-sensitive lipase (hsl), lipoprotein lipase (lpl), malate dehydrogenase (mdh), leptin (lep), fatty acid synthase (fas), sterol regulatory element-binding protein 1 (srebp1), and stearoyl-CoA desaturase (scd) genes in the liver of juveniles were significantly increased (p < 0.05). In conclusion, dietary chitosan supplementation could alleviate the effects of Cd2+ stress on the muscle composition, digestive enzymes, lipid metabolism, and stress resistance, and their related gene expression, of juvenile tilapia, and to some extent reduce the toxic effect of Cd2+ stress on tilapia.
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Affiliation(s)
- Qin Zhang
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
| | - Yi Xie
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
| | - Yuanhui Zhang
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
| | - Enhao Huang
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
| | - Liuqing Meng
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
| | - Yongqiang Liu
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
| | - Tong Tong
- School of Marine Sciences and Biotechnology, Guangxi Minzu University, Nanning 530008, China; (Q.Z.); (Y.X.); (Y.Z.); (E.H.); (L.M.)
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Nanning 530008, China
- Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Nanning 530008, China
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9
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Xiong Z, Tong T, Xie Z, Yu S, Zhuang R, Jia Q, Peng S, Li B, Xie J, Li K, Wu J, Huang H. Delivery of gefitinib loaded nanoparticles for effectively inhibiting prostate cancer progression. Biomater Sci 2024; 12:650-659. [PMID: 38168678 DOI: 10.1039/d3bm01735d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Androgen deprivation therapy is administered to suppress the growth of prostate cancer (PCa). However, some cells continue to proliferate independent of hormones, leading to the development of castration-resistant prostate cancer (CRPC). Overexpression of the epidermal growth factor receptor (EGFR) has been observed in CRPC and is associated with an unfavorable prognosis. Gefitinib (GEF) is an EGFR inhibitor used to treat patients with CRPC. Nevertheless, some clinical studies have reported that gefitinib does not result in prostate-specific antigen (PSA) or objectively measurable CRPC reactions. This lack of response may be attributed to the limited solubility in water, high side effects, low tumor aggregation, and insufficient tumor-specific reactions of GEF. In order to tackle these obstacles, we present a practical and efficient approach to administer GEF, encompassing the utilization of biocompatible nanostructures as a vehicle for drug delivery to augment its bioaccessibility and curative potency. Despite their small particle size, poly(D,L-lactide-co-glycolide) acid nanoparticles (PLGA NPs) exhibit a high drug-loading capacity, low toxicity, biocompatibility, biodegradability, and minimal immunogenicity. The drug delivery efficiency can be improved by employing GEF@PLGA NPs, which could also enhance drug cytotoxicity and impede the advancement of prostate cancer. Moreover, through experiments in vivo, it has been verified that GEF@PLGA NPs exhibit selective accumulation in the tumor and effectively restrain tumor growth. Therefore, the GEF@PLGA NPs hold great promise for the treatment of PCa.
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Affiliation(s)
- Zhi Xiong
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Tong Tong
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518057, China
| | - Zhaoxiang Xie
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Shunli Yu
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Ruilin Zhuang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Qiang Jia
- Guangzhou City Polytechnic, Guangzhou, 510520, China
| | - Shirong Peng
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Bingheng Li
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Junjia Xie
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Kaiwen Li
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
| | - Jun Wu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
- Bioscience and Biomedical Engineering Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, China
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China
- Department of Urology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, Guangdong, China
| | - Hai Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
- Department of Urology, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, Guangdong, China
- Guangdong Provincial Clinical Research Center for Urological Diseases, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
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Li C, Guo H, Zhai P, Yan M, Liu C, Wang X, Shi C, Li J, Tong T, Zhang Z, Ma H, Zhang J. Spatial and Single-Cell Transcriptomics Reveal a Cancer-Associated Fibroblast Subset in HNSCC That Restricts Infiltration and Antitumor Activity of CD8+ T Cells. Cancer Res 2024; 84:258-275. [PMID: 37930937 PMCID: PMC10790129 DOI: 10.1158/0008-5472.can-23-1448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/14/2023] [Accepted: 11/01/2023] [Indexed: 11/08/2023]
Abstract
Although immunotherapy can prolong survival in some patients with head and neck squamous cell carcinoma (HNSCC), the response rate remains low. Clarification of the critical mechanisms regulating CD8+ T-cell infiltration and dysfunction in the tumor microenvironment could help maximize the benefit of immunotherapy for treating HNSCC. Here, we performed spatial transcriptomic analysis of HNSCC specimens with differing immune infiltration and single-cell RNA sequencing of five pairs of tumor and adjacent tissues, revealing specific cancer-associated fibroblast (CAF) subsets related to CD8+ T-cell infiltration restriction and dysfunction. These CAFs exhibited high expression of CXCLs (CXCL9, CXCL10, and CXCL12) and MHC-I and enrichment of galectin-9 (Gal9). The proportion of MHC-IhiGal9+ CAFs was inversely correlated with abundance of a TCF1+GZMK+ subset of CD8+ T cells. Gal9 on CAFs induced CD8+ T-cell dysfunction and decreased the proportion of tumor-infiltrating TCF1+CD8+ T cells. Collectively, the identification of MHC-IhiGal9+ CAFs advances the understanding of the precise role of CAFs in cancer immune evasion and paves the way for more effective immunotherapy for HNSCC. SIGNIFICANCE Spatial analysis identifies IFN-induced MHC-IhiGal9+ CAFs that form a trap for CD8+ T cells, providing insights into the complex networks in the tumor microenvironment that regulate T-cell infiltration and function.
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Affiliation(s)
- Chuwen Li
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
| | - Haiyan Guo
- Department of Clinical Laboratory, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Peisong Zhai
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
| | - Ming Yan
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
| | - Chun Liu
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
| | - Xiaoning Wang
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Chaoji Shi
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
| | - Jiang Li
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Tong Tong
- Department of Oral and Maxillofacial Surgery, Shanghai Stomatological Hospital, Fudan University, Shanghai, People's Republic of China
| | - Zhiyuan Zhang
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China
| | - Hailong Ma
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
| | - Jianjun Zhang
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Center for Stomatology, Shanghai, People's Republic of China
- National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China
- Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China
- Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China
- Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China
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Gong J, Wang T, Wang Z, Chu X, Hu T, Li M, Peng W, Feng F, Tong T, Gu Y. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model. Cancer Imaging 2024; 24:1. [PMID: 38167564 PMCID: PMC10759676 DOI: 10.1186/s40644-023-00623-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/16/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Brain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. This study aims to enhance BM risk prediction within three years for advanced NSCLC patients by using a deep learning-based segmentation and computed tomography (CT) radiomics-based ensemble learning model. METHODS This retrospective study included 602 stage IIIA-IVB NSCLC patients, 309 BM patients and 293 non-BM patients, from two centers. Patients were divided into a training cohort (N = 376), an internal validation cohort (N = 161) and an external validation cohort (N = 65). Lung tumors were first segmented by using a three-dimensional (3D) deep residual U-Net network. Then, a total of 1106 radiomics features were computed by using pretreatment lung CT images to decode the imaging phenotypes of primary lung cancer. To reduce the dimensionality of the radiomics features, recursive feature elimination configured with the least absolute shrinkage and selection operator (LASSO) regularization method was applied to select the optimal image features after removing the low-variance features. An ensemble learning algorithm of the extreme gradient boosting (XGBoost) classifier was used to train and build a prediction model by fusing radiomics features and clinical features. Finally, Kaplan‒Meier (KM) survival analysis was used to evaluate the prognostic value of the prediction score generated by the radiomics-clinical model. RESULTS The fused model achieved area under the receiver operating characteristic curve values of 0.91 ± 0.01, 0.89 ± 0.02 and 0.85 ± 0.05 on the training and two validation cohorts, respectively. Through KM survival analysis, the risk score generated by our model achieved a significant prognostic value for BM-free survival (BMFS) and overall survival (OS) in the two cohorts (P < 0.05). CONCLUSIONS Our results demonstrated that (1) the fusion of radiomics and clinical features can improve the prediction performance in predicting BM risk, (2) the radiomics model generates higher performance than the clinical model, and (3) the radiomics-clinical fusion model has prognostic value in predicting the BMFS and OS of NSCLC patients.
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Affiliation(s)
- Jing Gong
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Ting Wang
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zezhou Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Shanghai Municipal Hospital Oncological Specialist Alliance, Shanghai, 200032, China
| | - Xiao Chu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Tingdan Hu
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Menglei Li
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Weijun Peng
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Feng Feng
- Department of Medical Imaging, Nantong Tumor Hospital, Nantong University, Nantong, 226361, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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Li Y, Zhang H, Yue L, Fu C, Grimm R, Li W, Guo W, Tong T. Whole tumor based texture analysis of magnetic resonance diffusion imaging for colorectal liver metastases: A prospective study for diffusion model comparison and early response biomarker. Eur J Radiol 2024; 170:111203. [PMID: 38007855 DOI: 10.1016/j.ejrad.2023.111203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/16/2023] [Accepted: 11/14/2023] [Indexed: 11/28/2023]
Abstract
PURPOSE To evaluate and compare the diagnostic value of diffusion-related texture analysis parameters obtained from various magnetic resonance diffusion models as early predictors of the clinical response to chemotherapy in patients with colorectal liver metastases (CRLM). METHODS Patients (n = 145) with CRLM were prospectively and consecutively enrolled and scanned using diffusion-weighted imaging (DWI)-magnetic resonance imaging (MRI)/intravoxel incoherent motion (IVIM)/diffusion kurtosis imaging (DKI) before (baseline) and two-three weeks after (follow-up) commencing chemotherapy. Therapy response was evaluated based on the Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1). The histogram and texture parameters of each diffusion-related parametric map were analysed between the responding and non-responding groups, screened using LASSO, and fitted with binary logistic regression models. The diagnostic efficacy of each model in the early prediction of CRLM was analysed, and the corresponding receiver operating characteristic (ROC) curve was drawn. The area under the curve (AUC) and 95% confidence intervals (CI) were calculated. RESULTS Of the 145 analysed patients, 69 were in the responding group and 76 were in the non-responding group. Among all models, the difference value based on the histogram and texture features of the DKI-derived parameters performed best for the early prediction of CRLM treatment efficacy. The AUC of the DKI model in the validation set reached 0.795 (95% CI 0.652-0.938). Among the IVIM-derived parameters, the difference model based on D and D* performed best, and the AUC in the validation set reached 0.737 (95% CI 0.586-0.889). Finally, in the DWI sequence, the model comprising baseline features performed the best, with an AUC of 0.699 (95% CI 0.537-0.86) in the validation set. CONCLUSIONS Baseline DWI parameters and follow-up changes in IVIM and DKI parameters predicted the chemotherapeutic response in patients with CRLM. In addition, as very early predictors, DKI-derived parameters were more effective than DWI- and IVIM-related parameters, in which changes in D-parameters performed best.
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Affiliation(s)
- Yue Li
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Huan Zhang
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Yue
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Caixia Fu
- MR Collaboration, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Wenhua Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Weijian Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Cai C, Hu T, Rong Z, Gong J, Tong T. Prognostic prediction value of the clinical-radiomics tumour-stroma ratio in locally advanced rectal cancer. Eur J Radiol 2024; 170:111254. [PMID: 38091662 DOI: 10.1016/j.ejrad.2023.111254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/08/2023] [Accepted: 12/05/2023] [Indexed: 01/16/2024]
Abstract
PURPOSE To develop and validate a radiomics model based on high-resolution T2WI and a clinical-radiomics model for tumour-stroma ratio (TSR) evaluation with a gold standard of TSR evaluated by rectal specimens without therapeutic interference and further apply them in prognosis prediction of locally advanced rectal cancer (LARC) patients who received neoadjuvant chemoradiotherapy. METHODS A total of 178 patients (mean age: 59.35, range 20-85 years; 65 women and 113 men) with rectal cancer who received surgery alone from January 2016 to October 2020 were enrolled and randomly separated at a ratio of 7:3 into training and validation sets. A senior radiologist reviewed after 2 readers manually delineated the whole tumour in consensus on preoperative high-resolution T2WI in the training set. A total of 1046 features were then extracted, and recursive feature elimination embedded with leave-one-out cross validation was applied to select features, with which an MR-TSR evaluation model was built containing 6 filtered features via a support vector machine classifier trained by comparing patients' pathological TSR. Stepwise logistic regression was employed to integrate clinical factors with the radiomics model (Fusion-TSR) in the training set. Later, the MR-TSR and Fusion-TSR models were replicated in the validation set for diagnostic effectiveness evaluation. Subsequently, 243 patients (mean age: 53.74, range 23-74 years; 63 women and 180 men) with LARC from October 2012 to September 2017 who were treated with NCRT prior to surgery and underwent standard pretreatment rectal MR examination were enrolled. The MR-TSR and Fusion-TSR were applied, and the Kaplan-Meier method and log-rank test were used to compare the survival of patients with different MR-TSR and Fusion-TSR. Cox proportional hazards regression was used to calculate the hazard ratio (HR). RESULTS Both the MR-TSR and Fusion-TSR models were validated with favourable diagnostic power: the AUC of the MR-TSR was 0.77 (p = 0.01; accuracy = 69.8 %, sensitivity = 88.9 %, specificity = 65.9 %, PPV = 34.8 %, NPV = 96.7 %), while the AUC of the Fusion-TSR was 0.76 (p = 0.014; accuracy = 67.9 %, sensitivity = 88.9 %, specificity = 63.6 %, PPV = 33.3 %, NPV = 96.6 %), outperforming their effectiveness in the training set: the AUC of the MR-TSR was 0.65 (p = 0.035; accuracy = 66.4 %, sensitivity = 61.9 %, specificity = 67.3 %, PPV = 27.7 %, NPV = 90.0 %), while the AUC of the Fusion-TSR was 0.73 (p = 0.001; accuracy = 73.6 %, sensitivity = 71.4 %, specificity = 74.0 %, PPV = 35.73 %, NPV = 92.8 %). With further prognostic analysis, the MR-TSR was validated as a significant prognostic factor for DFS in LARC patients treated with NCRT (p = 0.020, HR = 1.662, 95 % CI = 1.077-2.565), while the Fusion-TSR was a significant prognostic factor for OS (p = 0.005, HR = 2.373, 95 % CI = 1.281-4.396). CONCLUSIONS We developed and validated a radiomics TSR and a clinical-radiomics TSR model and successfully applied them to better risk stratification for LARC patients receiving NCRT and for better decision making.
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Affiliation(s)
- Chongpeng Cai
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai 200032, China
| | - Tingdan Hu
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai 200032, China
| | - Zening Rong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai 200032, China
| | - Jing Gong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai 200032, China.
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai 200032, China.
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Wang Y, Wang F, Tong T, Miao D, Li W, Zhu H, Zheng X, Wang L. Sex differences in the accuracy of vertebral bone quality score assessing bone density in patients undergoing lumbar spinal fusion. J Neurosurg Spine 2023:1-7. [PMID: 38157527 DOI: 10.3171/2023.10.spine23721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/25/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Low bone mineral density (BMD) significantly increases the risk of complications in patients undergoing spinal fusion. Existing evidence indicates that traditional dual-energy x-ray absorptiometry (DEXA) and quantitative CT (QCT) screening are underutilized in spine surgery. The MRI-based vertebral bone quality (VBQ) score provides a tool for primary screening of bone density. The validity of this score as a predictor across sexes has not been investigated. This study aimed to explore the effect of sex on the diagnostic efficacy of the VBQ in predicting osteopenia/osteoporosis and whether a sex-specific threshold exists. METHODS In this retrospective cohort study, patients who underwent lumbar fusion at a tertiary care center were reviewed. VBQ was obtained by noncontrast T1-weighted MRI. Patients were stratified according to sex and bone density. Data were analyzed between the groups. Pearson correlation analysis and linear regression were used to analyze the correlation between the VBQ and DEXA T values. Receiver operating characteristic (ROC) curve analysis, including area under the curve (AUC) calculation, was used to evaluate the predictive performance of VBQ for low BMD in both sexes. RESULTS A total of 271 patients (92 male, 179 female patients) were analyzed. The correlation coefficient between VBQ and the lowest T value was -0.40 for male and -0.554 for female patients. In comparing the bone density subgroups, among male patients a significant difference in the VBQ scores was observed only between the normal and osteoporosis subgroups (p = 0.012). VBQ demonstrated statistically significant differences among female patients across all three subgroups (p < 0.001). The ROC analysis revealed that the predictive performance of VBQ in detecting low BMD was more consistent with the gold-standard DEXA results in female than in male patients (AUC 0.647 vs AUC 0.823, p = 0.02). The optimal thresholds were similar in both sexes. CONCLUSIONS Compared with male patients, VBQ has better discrimination between female patients with low BMD and those with normal bone density. Although the correlation between VBQ and bone density is weaker in male than in female patients, the optimal thresholds are similar in both sexes.
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Affiliation(s)
- Yunsheng Wang
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Feng Wang
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Tong Tong
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Dechao Miao
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Wenshuai Li
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Houze Zhu
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Xiao Zheng
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
| | - Linfeng Wang
- 1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei; and
- 2Key Laboratory of Orthopedic Biomechanics of Hebei Province, Shijiazhuang, Hebei, China
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Li P, Tong T, Wu Y, Zhou X, Zhang M, Liu J, She Y, Li Z, Li Y. The Synergism of Human Lactobacillaceae and Inulin Decrease Hyperglycemia via Regulating the Composition of Gut Microbiota and Metabolic Profiles in db/db Mice. J Microbiol Biotechnol 2023; 33:1657-1670. [PMID: 37734909 PMCID: PMC10772568 DOI: 10.4014/jmb.2304.04039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/13/2023] [Accepted: 08/14/2023] [Indexed: 09/23/2023]
Abstract
This study aimed to evaluate the effects of Limosilactobacillus fermentum and Lactiplantibacillus plantarum isolated from human feces coordinating with inulin on the composition of gut microbiota and metabolic profiles in db/db mice. These supplements were administered to db/db mice for 12 weeks. The results showed that the Lactobacillaceae coordinating with inulin group (LI) exhibited lower fasting blood glucose levels than the model control group (MC). Additionally, LI was found to enhance colon tissue and increase the levels of short-chain fatty acids. 16S rRNA sequencing revealed that the abundance of Corynebacterium and Proteus, which were significantly increased in the MC group compared with NC group, were significantly decreased by the treatment of LI that also restored the key genera of the Lachnospiraceae_NK4A136_group, Lachnoclostridium, Ruminococcus_gnavus_group, Desulfovibrio, and Lachnospiraceae_UCG-006. Untargeted metabolomics analysis showed that lotaustralin, 5-hydroxyindoleacetic acid, and 13(S)-HpODE were increased while L-phenylalanine and L-tryptophan were decreased in the MC group compared with the NC group. However, the intervention of LI reversed the levels of these metabolites in the intestine. Correlation analysis revealed that Lachnoclostridium and Ruminococcus_gnavus_group were negatively correlated with 5-hydroxyindoleacetic acid and 13(S)-HpODE, but positively correlated with L-tryptophan. 13(S)-HpODE was involved in the "linoleic acid metabolism". L-tryptophan and 5-hydroxyindoleacetic acid were involved in "tryptophan metabolism" and "serotonergic synapse". These findings suggest that LI may alleviate type 2 diabetes symptoms by modulating the abundance of Ruminococcus_gnavus_group and Lachnoclostridium to regulate the pathways of "linoleic acid metabolism", "serotonergic synapse", and" tryptophan metabolism". Our results provide new insights into prevention and treatment of type 2 diabetes.
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Affiliation(s)
- Peifan Li
- College of Biochemical Engineering, Beijing Union University, Beijing, 100023, P.R. China
| | - Tong Tong
- College of Biochemical Engineering, Beijing Union University, Beijing, 100023, P.R. China
| | - Yusong Wu
- College of Biochemical Engineering, Beijing Union University, Beijing, 100023, P.R. China
| | - Xin Zhou
- College of Biochemical Engineering, Beijing Union University, Beijing, 100023, P.R. China
| | - Michael Zhang
- Department of Physics and Astronomy, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
- Sino Canada health engineering research institute, Hefei, P.R. China
| | - Jia Liu
- Internal Trade Food Science and Technology (Beijing) Co., Ltd, Beijing, 102209, P.R. China
| | - Yongxin She
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Science, Beijing, P.R. China
| | - Zuming Li
- College of Biochemical Engineering, Beijing Union University, Beijing, 100023, P.R. China
| | - Yongli Li
- Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, P.R. China
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Li W, Zhu H, Hua Z, Miao D, Wang F, Tong T, Wang L. Vertebral Bone Quality Score as a Predictor of Pedicle Screw Loosening Following Surgery for Degenerative Lumbar Disease. Spine (Phila Pa 1976) 2023; 48:1635-1641. [PMID: 36728017 PMCID: PMC10624406 DOI: 10.1097/brs.0000000000004577] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 02/03/2023]
Abstract
STUDY DESIGN Retrospective study. OBJECTIVE To investigate whether magnetic resonance imaging-based vertebral bone quality (VBQ) score can predict pedicle screw loosening in patients who underwent pedicle screw fixation, and to compare, which measurement, the VBQ score or the Hounsfield unit (HU) value, is more predictive of pedicle screw loosening. SUMMARY OF BACKGROUND DATA In clinical work, we found that patients with screw loosening had higher VBQ scores. In addition, some studies have found a correlation between VBQ scores and osteoporosis. PATIENTS AND METHODS Patients who were treated with lumbar pedicle screw fixation were reviewed. The VBQ score was measured using magnetic resonance imaging scans. The HU value for L1 to L4 lumbar bone mineral density was measured with computed tomography scans. Logistic regression analysis was used to identify factors associated with pedicle screw loosening. Receiver-operating characteristic curve analysis was used to evaluate the value of VBQ scores in predicting pedicle screw loosening. RESULTS A total of 156 patients were included in the final analysis. The pedicle screw loosening rate was 35% (55 of 156 patients). The postoperative low-back pain visual analog scale score was higher in the loosening group (3.0 ± 2.0 vs . 2.4 ± 1.8; P < 0.05). The VBQ score was higher in the loosening group than in the nonloosening group (3.28 ± 0.58 vs . 2.82 ± 0.50; P < 0.01). In multivariable analysis, nonsingle segment fixation [odds ratio (OR): 3.992; 95% CI: 1.643-9.701; P = 0.002], lowest instrumented vertebrae at S1 (OR: 3.378; 95% CI: 1.387-8.226; P = 0.007), HU value (OR: 0.988; 95% CI: 0.976-1.000; P = 0.047), and VBQ score (OR: 3.908; 95% CI: 1.624-9.405; P = 0.002) were factors associated with screw loosening. The areas under the curve for using the VBQ score and HU value to predict pedicle screw loosening were 0.720 and 0.702, respectively. The optimal VBQ score threshold was 3.05 for predicting pedicle screw loosening (sensitivity: 0.655; specificity: 0.713). CONCLUSIONS The VBQ score was an influential factor associated with lumbar pedicle screw loosening, and a higher VBQ score was significantly correlated with a higher risk of screw loosening. The VBQ score was a better predictor of pedicle screw loosening than the HU value in patients who underwent pedicle screw fixation for degenerative lumbar disease.
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Affiliation(s)
- Wenshuai Li
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Houze Zhu
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Zijian Hua
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Dechao Miao
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Feng Wang
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Tong Tong
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Linfeng Wang
- Department of Orthopedic Surgery
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
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Ye P, Zhang Y, Tong T, Ao L, Chen Z, Huang H, Hussain A, Ramiere A, Cai X, Liu D, Shen J. 3D Lithiophilic CuZrAg Metallic Glass Based-Current Collector for High-Performance Lithium Metal Anode. Small 2023; 19:e2304373. [PMID: 37649179 DOI: 10.1002/smll.202304373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/20/2023] [Indexed: 09/01/2023]
Abstract
Lithium metal anodes face several challenges in practical applications, such as dendrite growth, poor cycle efficiency, and volume variation. 3D hosts with lithiophilic surfaces have emerged as a promising design strategy for anodes. In this study, inspiration from the intrinsic isotropy, chemical heterogeneity, and wide tunability of metallic glass (MG) is drew to develop a 3D mesoporous host with a lithiophilic surface. The CuZrAg MG is prepared using the scalable melt-spinning technique and subsequently treated with a simple one-step chemical dealloying method. This resultes in the creation of a host with a homogeneously distributed abundance of lithium affinity sites on the surface. The excellent lithiophilic property and capability for uniform lithium deposition of the 3D CuZrAg electrode have been confirmed through theoretical calculations. Therefore, the 3D CuZrAg electrode displays excellent cyclic stability for over 400 cycles with 96% coulomb efficiency, and ultra-low overpotentials of 5 mV for over 2000 h at 1.0 mA cm-2 and 1.0 mAh cm-2 . Additionally, the full cells partied with either LiFePO4 or LiNi0.8 Co0.1 Mn0.1 O2 cathode deliver exceptional long-term cyclability and rate capability. This work demonstrates the great potential of metallic glass in lithium metal anode application.
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Affiliation(s)
- Pengfei Ye
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Yanhui Zhang
- State Key Lab of Metastable Materials Science and Technology, and, College of Materials Science and Engineering, Yanshan University, Qinhuangdao, Hebei, 066004, P. R. China
| | - Tong Tong
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Lihong Ao
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Zhe Chen
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Huayu Huang
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Arshad Hussain
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Aymeric Ramiere
- College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Xingke Cai
- Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Dongqing Liu
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - Jun Shen
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
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Feng Y, Gong J, Hu T, Liu Z, Sun Y, Tong T. Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis. Quant Imaging Med Surg 2023; 13:8395-8412. [PMID: 38106286 PMCID: PMC10722083 DOI: 10.21037/qims-23-692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/27/2023] [Indexed: 12/19/2023]
Abstract
Background Radiomics has recently received considerable research attention for providing potential prognostic biomarkers for locally advanced rectal cancer (LARC). We aimed to comprehensively evaluate the methodological quality and prognostic prediction value of radiomic studies for predicting survival outcomes in patients with LARC. Methods The Cochrane, Embase, Medline, and Web of Science databases were searched. The radiomics quality score (RQS), Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) checklist, the Image Biomarkers Standardization Initiative (IBSI) guideline, and the Prediction Model Risk of Bias Assessment Tool were used to assess the quality of the selected studies. A further meta-analysis of hazard ratio (HR) regarding disease-free survival (DFS) and overall survival (OS) was performed. Results Among the 358 studies reported, 15 studies were selected for our review. The mean RQS score was 7.73±4.61 (21.5% of the ideal score of 36). The overall TRIPOD adherence rate was 64.4% (251/390). Most of the included studies (60%) were assessed as having a high risk of bias (ROB) overall. The pooled estimates of the HRs were 3.14 [95% confidence interval (CI): 2.12-4.64, P<0.01] for DFS and 3.36 (95% CI: 1.74-6.49, P<0.01) for OS. Conclusions Radiomics has potential to noninvasively predict outcome in patients with LARC. However, the overall methodological quality of radiomics studies was low, and the adherence to the TRIPOD statement was moderate. Future radiomics research should put a greater focus on enhancing the methodological quality and considering the influence of higher-order features on reproducibility in radiomics.
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Affiliation(s)
- Yaru Feng
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jing Gong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tingdan Hu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zonglin Liu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yiqun Sun
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Wang Y, Mao A, Liu J, Li P, Zheng S, Tong T, Li Z, Zhang H, Ma L, Lin J, Pang Z, Han Q, Qi F, Zhang X, Chen M, He X, Zhang X, Fei T, Liu BF, Gao D, Cao L, Wang Q, Li Y, Sheng R. USP10 strikes down β-catenin by dual-wielding deubiquitinase activity and phase separation potential. Cell Chem Biol 2023; 30:1436-1452.e10. [PMID: 37611590 DOI: 10.1016/j.chembiol.2023.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/17/2023] [Accepted: 07/30/2023] [Indexed: 08/25/2023]
Abstract
Wnt/β-catenin signaling is a conserved pathway crucially governing development, homeostasis, and oncogenesis. Discoveries of its regulators hold great values in both basic and translational research. Through screening, we identified a deubiquitinase, USP10, as a critical modulator of β-catenin. Mechanistically, USP10 binds to key scaffold Axin1 via conserved motifs and stabilizes Axin1 through K48-linked deubiquitination. Surprisingly, USP10 physically tethers Axin1 and β-catenin and promotes the phase separation for β-catenin suppression regardless of the enzymatic activity. Function-wise, USP10 enzymatic activity preferably regulates embryonic development and both the enzymatic activity and physical function jointly control intestinal homeostasis by antagonizing β-catenin. In colorectal cancer, USP10 substantially represses cancer growth mainly through physical promotion of phase separation and correlates with Wnt/β-catenin magnitude clinically. Collectively, we discovered USP10 functioning in multiple biological processes against β-catenin and unearthed the enzyme-dependent and -independent "dual-regulating" mechanism. These two functions of USP10 work in parallel and are context dependent.
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Affiliation(s)
- Yinuo Wang
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Aihua Mao
- Division of Cell, Developmental and Integrative Biology, School of Medicine, South China University of Technology, Guangzhou 510006, China; Guangdong Provincial Key Laboratory of Marine Biotechnology, Institute of Marine Sciences, Shantou University, Shantou, Guangdong 515063, China
| | - Jingwei Liu
- College of Basic Medical Science, China Medical University, Shenyang 110122, China
| | - Pengjie Li
- Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Shaoqin Zheng
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Tong Tong
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Zexu Li
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Haijiao Zhang
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Lanjing Ma
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Jiahui Lin
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Zhongqiu Pang
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Qing Han
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Fukang Qi
- Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Xinjun Zhang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Maorong Chen
- F.M Kirby Neurobiology Center, Boston Children's Hospital, Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Xi He
- F.M Kirby Neurobiology Center, Boston Children's Hospital, Department of Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Xi Zhang
- College of Sciences, Northeastern University, Shenyang 110004, China
| | - Teng Fei
- College of Life and Health Science, Northeastern University, Shenyang 110819, China
| | - Bi-Feng Liu
- Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Daming Gao
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Liu Cao
- College of Basic Medical Science, China Medical University, Shenyang 110122, China.
| | - Qiang Wang
- Division of Cell, Developmental and Integrative Biology, School of Medicine, South China University of Technology, Guangzhou 510006, China.
| | - Yiwei Li
- Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Ren Sheng
- College of Life and Health Science, Northeastern University, Shenyang 110819, China.
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Xu Y, Hong H, Lin X, Tong T, Zhang J, He H, Yang L, Mao G, Hao R, Deng P, Yu Z, Pi H, Cheng Y, Zhou Z. Chronic cadmium exposure induces Parkinson-like syndrome by eliciting sphingolipid disturbance and neuroinflammation in the midbrain of C57BL/6J mice. Environ Pollut 2023; 337:122606. [PMID: 37742865 DOI: 10.1016/j.envpol.2023.122606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 09/26/2023]
Abstract
Cadmium (Cd) is known as a widespread environmental neurotoxic pollutant. Cd exposure is recently recognized as an etiological factor of Parkinson's disease (PD) in humans. However, the mechanism underlying Cd neurotoxicity in relation to Parkinsonism pathogenesis is unclear. In our present study, C57BL/6 J mice were exposed to 100 mg/L CdCl2 in drinking water for 8 weeks. It was found Cd exposure caused motor deficits, decreased DA neurons and induced neuropathological changes in the midbrain. Non-targeted lipidomic analysis uncovered that Cd exposure altered lipid profile, increased the content of proinflammatory sphingolipid ceramides (Cer), sphingomyelin (SM) and ganglioside (GM3) in the midbrain. In consistency with increased proinflammatory lipids, the mRNA levels of genes encoding sphingolipids biosynthesis in the midbrain were dysregulated by Cd exposure. Neuroinflammation in the midbrain was evinced by the up-regulation of proinflammatory cytokines at mRNA and protein levels. Blood Cd contents and lipid metabolites in Parkinsonism patients by ICP-MS and LC-MS/MS analyses demonstrated that elevated blood Cd concentration and proinflammatory lipid metabolites were positively associated with the score of Unified Parkinson's Disease Rating Scale (UPDRS). 3 ceramide metabolites in the blood showed good specificity as the candidate biomarkers to predict and monitor Parkinsonism and Cd neurotoxicity (AUC>0.7, p < 0.01). In summary, our present study uncovered that perturbed sphingomyelin lipid metabolism is related to the Parkinsonism pathogenesis and Cd neurotoxicity, partially compensated for the deficiency in particular metabolic biomarkers for Parkinsonism in relation to Cd exposure, and emphasized the necessity of reducing Cd exposure at population level.
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Affiliation(s)
- Yudong Xu
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Huihui Hong
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China
| | - Xiqin Lin
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Tong Tong
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Zhang
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Haotian He
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingling Yang
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Gaofeng Mao
- Neurology Department, General Hospital of Center Theater Command, Wuhan, China
| | - Rongrong Hao
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Ping Deng
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Zhengping Yu
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Huifeng Pi
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Yong Cheng
- Neurology Department, General Hospital of Center Theater Command, Wuhan, China
| | - Zhou Zhou
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China; Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China.
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Lin X, Xu Y, Tong T, Zhang J, He H, Yang L, Deng P, Yu Z, Pi H, Hong H, Zhou Z. Cadmium exposure disturbs myocardial lipid signature and induces inflammation in C57BL/6J mice. Ecotoxicol Environ Saf 2023; 265:115517. [PMID: 37776818 DOI: 10.1016/j.ecoenv.2023.115517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/13/2023] [Accepted: 09/22/2023] [Indexed: 10/02/2023]
Abstract
Cadmium is a highly ubiquitous environmental pollutant that poses a serious threat to human health. In this study, we assessed the cardiotoxicity of Cd exposure and explored the possible mechanisms by which Cd exerts its toxic effects. The results demonstrated that exposure to Cd via drinking water containing CdCl2 10 mg/dL for eight consecutive weeks induced cardiac injury in C57BL/6J mice. The histopathological changes of myocardial hemolysis, widening of myocardial space, and fracture of myocardial fiber were observed. Meanwhile, elevated levels of cardiac enzyme markers and up-regulation of pro-apoptotic genes also indicated cardiac injury after Cd exposure. Non-targeted lipidomic analysis demonstrated that Cd exposure altered cardiac lipid metabolism, resulted in an increase in pro-inflammatory lipids, and changed lipid distribution abundance. In addition, Cd exposure affected the secretion of inflammatory cytokines by activating the NF-κB signaling pathway, leading to cardiac inflammation in mice. Taken together, results of our present study expand our understanding of Cd cardiotoxicity at the lipidomic level and provide new experimental evidence for uncovering the association of Cd exposure with cardiovascular diseases.
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Affiliation(s)
- Xiqin Lin
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Yudong Xu
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Tong Tong
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Zhang
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Haotian He
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingling Yang
- Department of Occupational Health, Army Medical University, Chongqing, China
| | - Ping Deng
- Department of Occupational Health, Army Medical University, Chongqing, China
| | - Zhengping Yu
- Department of Occupational Health, Army Medical University, Chongqing, China
| | - Huifeng Pi
- Department of Occupational Health, Army Medical University, Chongqing, China
| | - Huihui Hong
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China.
| | - Zhou Zhou
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China; Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China.
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Yuan Y, Yu Y, Sun YQ, Li S, Lu HD, Ma XL, Lu JP, Shao CW, Zhang W, Tong T, Gao XH, Shen F. Investigating anorectal function using postoperative MRI-based fibrosis score in patients with locally advanced rectal cancer receiving neoadjuvant chemoradiotherapy: a two-center study. Ann Med 2023; 55:2268112. [PMID: 37824443 PMCID: PMC10572048 DOI: 10.1080/07853890.2023.2268112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/30/2023] [Indexed: 10/14/2023] Open
Abstract
PURPOSE This study aimed to develop a postoperative MRI-based fibrosis scoring system and to assess its correlation with anorectal function in locally advanced rectal cancer (LARC) cases administered neoadjuvant chemoradiotherapy (nCRT). METHODS Pathologically confirmed LARC cases administered nCRT and radical resection were assessed retrospectively. Based on postoperative magnetic resonance imaging (MRI) findings, anastomotic fibrosis score (AFS) and perirectal fibrosis score (PFS) were determined to evaluate the extent of fibrosis. The Wexner continence score for anorectal function was obtained 2 years postoperatively and assessed for correlation with MRI fibrosis scores. The cases were divided into 2 groups by the median Wexner score. Univariable and multivariable analyses were adopted for building a nomogram model, whose diagnostic performance was estimated by receiver operating characteristic (ROC) and decision curve analyses (DCA). RESULTS Finally, 144 patients with LARC were included in cohort 1 (training set). 52 patients were enrolled in cohort 2 (external validation set). Spearman correlation analysis indicated that AFS and PFS were positively correlated with the Wexner score. Univariable and multivariable analyses revealed age, tumor height, AFS, and PFS were independent predictors of anorectal function. The nomogram model achieved a good diagnostic performance, with AUCs of 0.800 and 0.827 in the training and validation sets, respectively; its predicting value was also confirmed by DCA. CONCLUSION The present study showed AFS and PFS derived from postoperative MRI are positively correlated with Wexner score. In addition, the new scoring system was effective in predicting anorectal function in LARC cases administered nCRT.
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Affiliation(s)
- Yuan Yuan
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Yue Yu
- Department of Colorectal Surgery, Shanghai Changhai Hospital, Shanghai, China
| | - Yi Qun Sun
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Shuai Li
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Hai Di Lu
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Xiao Lu Ma
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Jian Ping Lu
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Cheng Wei Shao
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Wei Zhang
- Department of Colorectal Surgery, Shanghai Changhai Hospital, Shanghai, China
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xian Hua Gao
- Department of Colorectal Surgery, Shanghai Changhai Hospital, Shanghai, China
| | - Fu Shen
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
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Wang X, Liu L, Wang J, Tong T, Wu Y. [Temporal-spatial variations of root and soil nutrient under continuous intercropping of alfalfa and oat]. Ying Yong Sheng Tai Xue Bao 2023; 34:2683-2692. [PMID: 37897275 DOI: 10.13287/j.1001-9332.202310.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/30/2023]
Abstract
We investigated root and soil nutrient characteristics in the monoculture and continuous alfalfa/oat intercropping in the high-yield years by using soil filling and frame planting method in the field, and analyzed the relationship between root systems and soil nutrients. The results showed that intercropping reduced root weight and total root length proportion of oat in the 0-10 cm soil layer compared with the monoculture. However, intercropping significantly increased root weight and root surface area of oat in the 20-30 cm soil layer, root length and root density of alfalfa in the 10-20 cm soil layer, and the contents of available phosphorus and organic matter of the alfalfa/oat intercropping system in the 0-40 cm soil layer. As the planting years increased, total root length, root weight, root surface area, and proportion of root weight and root length of alfalfa in the 0-20 cm soil layer gradually increased in the intercropping system, and the root weight, total root length, root surface area, and root average diameter of oat increased, especially the root weight and root surface area of oat in the 20-30 cm soil layer. Moreover, the content of available nutrients in all soil layers decreased subsequently. In the alfalfa/oat intercropping system, continuous intercropping could significantly increase total root length of alfalfa in the 10-20 cm soil layer, improve root weight and root surface area of oat in the 20-40 cm soil layer (especially in the 20-30 cm soil layer). With the increases of planting years, intercropping intensified the absorption and competition of available nutrients by the roots of alfalfa and oat in the 0-40 cm soil layer, thereby reduced the accumulation of available nutrients in the soil.
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Affiliation(s)
- Xue Wang
- College of Pratacultural Science, Gansu Agricultural University/Key Laboratory of Pratacultural Ecosystem, Ministry of Education/Pratacultural Enginee-ring Laboratory of Gansu Province/Sino-US Center for Grazing Land Ecosystem Sustainability, Lanzhou 730070, China
| | - Liu Liu
- College of Pratacultural Science, Gansu Agricultural University/Key Laboratory of Pratacultural Ecosystem, Ministry of Education/Pratacultural Enginee-ring Laboratory of Gansu Province/Sino-US Center for Grazing Land Ecosystem Sustainability, Lanzhou 730070, China
| | - Jing Wang
- College of Pratacultural Science, Gansu Agricultural University/Key Laboratory of Pratacultural Ecosystem, Ministry of Education/Pratacultural Enginee-ring Laboratory of Gansu Province/Sino-US Center for Grazing Land Ecosystem Sustainability, Lanzhou 730070, China
| | - Tong Tong
- College of Pratacultural Science, Gansu Agricultural University/Key Laboratory of Pratacultural Ecosystem, Ministry of Education/Pratacultural Enginee-ring Laboratory of Gansu Province/Sino-US Center for Grazing Land Ecosystem Sustainability, Lanzhou 730070, China
| | - Yong Wu
- College of Pratacultural Science, Gansu Agricultural University/Key Laboratory of Pratacultural Ecosystem, Ministry of Education/Pratacultural Enginee-ring Laboratory of Gansu Province/Sino-US Center for Grazing Land Ecosystem Sustainability, Lanzhou 730070, China
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Li W, Zhu H, Tian H, Tong T, Hua Z, Zhao X, Shen Y, Wang L. Combinations of two imaging parameters to improve bone mineral density (BMD) assessment in patients with lumbar degenerative diseases. BMC Musculoskelet Disord 2023; 24:747. [PMID: 37735402 PMCID: PMC10512586 DOI: 10.1186/s12891-023-06888-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 09/15/2023] [Indexed: 09/23/2023] Open
Abstract
PURPOSE To explore whether combining the Hounsfield unit (HU) values and vertebral bone quality (VBQ) scores can improve the BMD assessment in patients with lumbar degenerative diseases. METHODS The HU values were measured by CT image, and VBQ scores were calculated by lumbar MRI image. The correlations of the opportunistic imaging parameters to the lowest T-scores were analyzed. Receiver-operating characteristic curve (ROC) analysis was used to evaluate the accuracy in detecting osteoporosis. Finally, the specificity and sensitivity of different combined methods of the HU values and VBQ scores in the diagnosis of osteoporosis were compared. RESULTS Patients with osteoporosis had the lowest HU values and the highest VBQ scores. The correlation coefficients between the VBQ scores and the T-scores were smaller than HU values (L1 HU value: 0.702; average HU value:0.700; L1 VBQ score: -0.413; VBQ score: -0.386). The areas under the curve (AUCs) of the HU values were greater than those of the VBQ scores, and the AUCs of the L1 VBQ score were similar to the VBQ score (L1 HU value: 0.850; average HU value:0.857; L1 VBQ score: 0.704; VBQ score: 0.673). When combining the two imaging parameters in series, the specificity of the detection of osteoporosis was improved (L1 HU value and L1 VBQ score: 87.3%; Average HU value and VBQ score: 85.9%). When combining the two imaging parameters in parallel, the sensitivity of the detection of osteoporosis was improved (L1 HU value or L1 VBQ score: 88.1%; Average HU value or VBQ score: 91.5%). CONCLUSIONS Combinations of the HU values and VBQ scores could improve the diagnostic performance of osteoporosis. In addition, considering the same diagnostic performance but easier measurement, parameters at the single-segment level were recommended to assist in the diagnosis of osteoporosis.
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Affiliation(s)
- Wenshuai Li
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Houze Zhu
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Hongsen Tian
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Tong Tong
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Zijian Hua
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Xuan Zhao
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Yong Shen
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China
| | - Linfeng Wang
- Department of Orthopaedic Surgery, The Third Hospital of Hebei Medical University, 139 Ziqiang Street, Shijiazhuang, 050051, Hebei, People's Republic of China.
- The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People's Republic of China.
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Li Y, Tong T, Li P, Peng Y, Zhang M, Liu J, She Y, Li Z, Li Y. Screening of Potential Probiotic Lactobacillaceae and Their Improvement of Type 2 Diabetes Mellitus by Promoting PI3K/AKT Signaling Pathway in db/db Mice. Pol J Microbiol 2023; 72:285-297. [PMID: 37725896 PMCID: PMC10508973 DOI: 10.33073/pjm-2023-028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/09/2023] [Indexed: 09/21/2023] Open
Abstract
The study aimed to isolate Lactobacillaceae strains with in vitro hypoglycemic activity and probiotic properties and to determine their antidiabetic abilities in vivo. Lactiplantibacillus plantarum 22, L. plantarum 25, Limosilactobacillus fermentum 11, and L. fermentum 305 with high in vitro hypoglycemic activity were screened from 23 strains of Lactobacillaceae isolated from human feces and identified by 16S rDNA sequencing. The fasting blood glucose (FBG) of the mice was recorded weekly. After 12 weeks, liver, kidney, and pancreas tissues were stained with hematoxylin and eosin (H&E) to observe histomorphology; the inflammatory factors were assayed by Quantitative Real-time PCR; PI3K and AKT were measured by Western blot; the short-chain fatty acids (SCFAs) were determined by LC-MS/MS. Inhibitory activities of L. plantarum 22, L. plantarum 25, L. fermentum 11, and L. fermentum 305 against α-amylase were 62.29 ± 0.44%, 51.81 ± 3.65%, 58.40 ± 1.68%, and 57.48 ± 5.04%, respectively. Their inhibitory activities to α-glucosidase were 14.89 ± 0.38%, 15.32 ± 0.89%, 52.63 ± 3.07%, and 51.79 ± 1.13%, respectively. Their survival rate after simulated gastrointestinal test were 12.42 ± 2.84%, 9.10 ± 1.12%, 5.86 ± 0.52%, and 8.82 ± 2.50% and their adhesion rates to Caco-2 cell were 6.09 ± 0.39%, 6.37 ± 0.28%, 6.94 ± 0.27%, and 6.91 ± 0.11%, respectively. The orthogonal tests of bacterial powders of the four strains showed that the maximum inhibitory activities to α-amylase and α-glucosidase were 93.18 ± 1.19% and 75.33 ± 2.89%, respectively. The results showed that the mixture of Lactobacillaceae could lower FBG, reduce inflammation, and liver, kidney, and pancreas damage, promote PI3K/AKT signaling pathway, and increase the content of SCFAs. The combination of L. plantarum 22, L. plantarum 25, L. fermentum 11, and L. fermentum 305 can potentially improve type 2 diabetes mellitus (T2DM).
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Affiliation(s)
- Yueyang Li
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Tong Tong
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Peifan Li
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Yian Peng
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Michael Zhang
- Department of Physics and Astronomy, University of Manitoba, Winnipeg, Canada
- School of Public Health, Anhui University of Science and Technology, Hefei, China
| | - Jia Liu
- Internal Trade Food Science and Technology (Beijing) Co., Ltd., Beijing, China
| | - Yongxin She
- Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Science, Beijing, China
| | - Zuming Li
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Yongli Li
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
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Chen Y, Wang T, Tang H, Zhao L, Zhang X, Tan T, Gao Q, Du M, Tong T. CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation. Phys Med Biol 2023; 68:175027. [PMID: 37605997 DOI: 10.1088/1361-6560/acede8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 08/07/2023] [Indexed: 08/23/2023]
Abstract
Medical image segmentation is a crucial and intricate process in medical image processing and analysis. With the advancements in artificial intelligence, deep learning techniques have been widely used in recent years for medical image segmentation. One such technique is the U-Net framework based on the U-shaped convolutional neural networks (CNN) and its variants. However, these methods have limitations in simultaneously capturing both the global and the remote semantic information due to the restricted receptive domain caused by the convolution operation's intrinsic features. Transformers are attention-based models with excellent global modeling capabilities, but their ability to acquire local information is limited. To address this, we propose a network that combines the strengths of both CNN and Transformer, called CoTrFuse. The proposed CoTrFuse network uses EfficientNet and Swin Transformer as dual encoders. The Swin Transformer and CNN Fusion module are combined to fuse the features of both branches before the skip connection structure. We evaluated the proposed network on two datasets: the ISIC-2017 challenge dataset and the COVID-QU-Ex dataset. Our experimental results demonstrate that the proposed CoTrFuse outperforms several state-of-the-art segmentation methods, indicating its superiority in medical image segmentation. The codes are available athttps://github.com/BinYCn/CoTrFuse.
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Affiliation(s)
- Yuanbin Chen
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Tao Wang
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Hui Tang
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Longxuan Zhao
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Xinlin Zhang
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Tao Tan
- Faculty of Applied Science, Macao Polytechnic University, Macao 999078, People's Republic of China
| | - Qinquan Gao
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Min Du
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
| | - Tong Tong
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China
- Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fuzhou 350116, People's Republic of China
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Zhu H, Hu M, Ma Y, Yao X, Lin X, Li M, Li Y, Wu Z, Shi D, Tong T, Chen H. Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients. Cancer Imaging 2023; 23:74. [PMID: 37537659 PMCID: PMC10401876 DOI: 10.1186/s40644-023-00588-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/02/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Our study aimed to explore the potential of radiomics features derived from CT images in predicting the prognosis and response to adjuvant chemotherapy (ACT) in patients with Stage II colorectal cancer (CRC). METHODS A total of 478 patients with confirmed stage II CRC, with 313 from Shanghai (Training set) and 165 from Beijing (Validation set) were enrolled. Optimized features were selected using GridSearchCV and Iterative Feature Elimination (IFE) algorithm. Subsequently, we developed an ensemble random forest classifier to predict the probability of disease relapse.We evaluated the performance of the model using the concordance index (C-index), precision-recall curves, and area under the precision-recall curves (AUCPR). RESULTS A radiomic model (namely the RF5 model) consisting of four radiomics features and T stage were developed. The RF5 model performed better than simple radiomics features or T stage alone, with higher C-index and AUCPR, as well as better sensitivity and specificity (C-indexRF5: 0.836; AUCPR = 0.711; Sensitivity = 0.610; Specificity = 0.935). We identified an optimal cutoff value of 0.1215 to split patients into high- or low-score subgroups, with those in the low-score group having better disease-free survival (DFS) (Training Set: P = 1.4e-11; Validation Set: P = 0.015). Furthermore, patients in the high-score group who received ACT had better DFS compared to those who did not receive ACT (P = 0.04). However, no statistical difference was found in low-score patients (P = 0.17). CONCLUSION The radiomic model can serve as a reliable tool for assessing prognosis and identifying the optimal candidates for ACT in Stage II CRC patients. TRIAL REGISTRATION Retrospectively registered.
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Affiliation(s)
- Hui Zhu
- Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China
| | - Muni Hu
- State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai Institute of Digestive Disease, Shanghai, China
| | - Yanru Ma
- State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai Institute of Digestive Disease, Shanghai, China
| | - Xun Yao
- Department of Radiology, Peking University People's Hospital, 11 Xizhimen South St, Beijing, 100044, China
| | - Xiaozhu Lin
- Department of Radiology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Rui Jin Er Rd, Shanghai, 200025, China
| | - Menglei Li
- Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China
| | - Yue Li
- Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China
| | - Zhiyuan Wu
- Department of Radiology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Rui Jin Er Rd, Shanghai, 200025, China.
| | - Debing Shi
- Department of Colorectal Surgery, Department of Oncology, Fudan University Shanghai Cancer Center; Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China.
| | - Tong Tong
- Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China.
| | - Haoyan Chen
- State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai Institute of Digestive Disease, Shanghai, China.
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Tong T, Duan W, Xu Y, Hong H, Xu J, Fu G, Wang X, Yang L, Deng P, Zhang J, He H, Mao G, Lu Y, Lin X, Yu Z, Pi H, Cheng Y, Xu S, Zhou Z. Corrigendum to "Paraquat exposure induces Parkinsonism by altering lipid profile and evoking neuroinflammation in the midbrain" [Environ. Int. 169 (2022) 107512]. Environ Int 2023; 178:108063. [PMID: 37500331 DOI: 10.1016/j.envint.2023.108063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Affiliation(s)
- Tong Tong
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Weixia Duan
- Center of Laboratory Medicine, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China; Chongqing Key Laboratory of Prevention and Treatment for Occupational Diseases and Poisoning, Chongqing, China
| | - Yudong Xu
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Huihui Hong
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Jia Xu
- Department of Emergency Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China; Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, Hangzhou, China
| | - Guanyan Fu
- Center of Laboratory Medicine, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China; Chongqing Key Laboratory of Prevention and Treatment for Occupational Diseases and Poisoning, Chongqing, China
| | - Xue Wang
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Lingling Yang
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Ping Deng
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Jingjing Zhang
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Haotian He
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Gaofeng Mao
- Neurology Department, General Hospital of Center Theater Command, Wuhan, China
| | - Yuanqiang Lu
- Department of Emergency Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China; Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, Hangzhou, China
| | - Xiqin Lin
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhengping Yu
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Huifeng Pi
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Yong Cheng
- Neurology Department, General Hospital of Center Theater Command, Wuhan, China.
| | - Shangcheng Xu
- Center of Laboratory Medicine, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China; Chongqing Key Laboratory of Prevention and Treatment for Occupational Diseases and Poisoning, Chongqing, China.
| | - Zhou Zhou
- Department of Emergency Medicine of First Affiliated Hospital and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China; Department of Emergency Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China; Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China.
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Zhang Q, Guo M, Li F, Qin M, Yang Q, Yu H, Xu J, Liu Y, Tong T. Evaluation of Fermented Soybean Meal to Replace a Portion Fish Meal on Growth Performance, Antioxidant Capacity, Immunity, and mTOR Signaling Pathway of Coho Salmon ( Oncorhynchus kisutch). Aquac Nutr 2023; 2023:2558173. [PMID: 37533794 PMCID: PMC10393523 DOI: 10.1155/2023/2558173] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/30/2023] [Accepted: 07/06/2023] [Indexed: 08/04/2023]
Abstract
In this study, we evaluated the effects of fermented soybean meal (FSBM) or/and unfermented SBM replacing a portion of fish meal (FM) on the growth performance, antioxidant capacity, immunity, and mechanistic target of rapamycin (mTOR) signaling pathway of juvenile coho salmon (Oncorhynchus kisutch). Four groups of juvenile coho salmon (initial weight 152.23 ± 3.21 g) in triplicate were fed for 12 weeks on four different iso-nitrogen and iso-lipid experimental diets: G0 diet (28% FM protein, control group), G1 diet (18% FM protein and 10% SBM protein), G2 diet (18% FM protein, 5% SBM protein, and 5% FSBM protein), and G3 diet (18% FM protein and 10% FSBM protein). The main results were compared with the G0 diet; the weight gain rate, specific growth rate, and condition factor of juveniles in G3 were increased significantly (p < 0.05). The content of muscle crude protein, the total protein, glucose, albumin, total cholesterol in serum, and the total antioxidant capacity in the liver of juveniles in G3 was increased significantly (p < 0.05). The activities of pepsin, trypsin, α-amylase, and lipase in the intestine, the superoxide dismutase, catalase, and alkaline phosphatase in the liver of juveniles in G3 were increased significantly (p < 0.05). The expression levels of phosphatidylinositide 3-kinases, serine/threonine kinase, mTOR, and ribosomal protein S6 kinase 1 genes in the liver of juveniles in G3 were upregulated significantly (p < 0.05). The feed coefficient ratio, viscerosomatic index, the contents of muscle moisture, and malondialdehyde in the liver of juveniles in G3 were decreased significantly (p < 0.05). The expression levels of tumor necrosis factor α, interleukin 1β, and interleukin 6 genes in the liver of juveniles in G3 were downregulated significantly (p < 0.05). However, there was no significant effect (p > 0.05) on the survival rate, food intake, and muscle crude lipid and ash of juveniles among the experimental groups. In conclusion, FSBM to replace a portion FM had a positive effect on the growth performance, protein deposition, antioxidant enzyme activity, digestive enzyme activity, protein synthesis, and immune-related genes of juvenile coho salmon.
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Affiliation(s)
- Qin Zhang
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Mengjie Guo
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Fanghui Li
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Meilan Qin
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Qiuyue Yang
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Hairui Yu
- Key Laboratory of Biochemistry and Molecular Biology in Universities of Shandong (Weifang University), Weifang Key Laboratory of Coho Salmon Culturing Facility Engineering, Institute of Modern Facility Fisheries, Weifang University, Weifang 261061, China
| | - Jian Xu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Yongqiang Liu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
| | - Tong Tong
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Minzu University, 158 University Road, Nanning 530008, China
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Hu F, Wang D, Ma X, Hu T, Yue Y, Tang W, Wu P, Tong T, Peng W. Concurrent Dual-Contrast Enhancement Using Fe 3O 4 Nanoparticles to Achieve a CEST Signal Controllability. ACS Omega 2023; 8:24153-24164. [PMID: 37457473 PMCID: PMC10339402 DOI: 10.1021/acsomega.2c07000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/13/2023] [Indexed: 07/18/2023]
Abstract
Traditional T2 magnetic resonance imaging (MRI) contrast agents have defects inherent to negative contrast agents, while chemical exchange saturation transfer (CEST) contrast agents can quantify substances at trace concentrations. After reaching a certain concentration, iron-based contrast agents can "shut down" CEST signals. The application range of T2 contrast agents can be widened through a combination of CEST and T2 contrast agents, which has promising application prospects. The purpose of this study is to develop a T2 MRI negative contrast agent with a controllable size and to explore the feasibility of dual contrast enhancement by combining T2 with CEST contrast agents. The study was carried out in vitro with HCT-116 human colon cancer cells. A GE SIGNA Pioneer 3.0 T medical MRI scanner was used to acquire CEST images with different saturation radio-frequency powers (1.25/2.5/3.75/5 μT) by 2D spin echo-echo planar imaging (SE-EPI). Magnetic resonance image compilation (MAGiC) was acquired by a multidynamic multiecho 2D fast spin-echo sequence. The feasibility of this dual-contrast enhancement method was assessed by scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, dynamic light scattering, ζ potential analysis, inductively coupled plasma, X-ray photoelectron spectroscopy, X-ray powder diffraction, vibrating-sample magnetometry, MRI, and a Cell Counting Kit-8 assay. The association between the transverse relaxation rate r2 and the pH of the iron-based contrast agents was analyzed by linear fitting, and the linear relationship between the CEST effect in different B1 fields and pH was analyzed by the ratio method. Fe3O4 nanoparticles (NPs) with a mean particle size of 82.6 ± 22.4 nm were prepared by a classical process, and their surface was successfully modified with -OH active functional groups. They exhibited self-aggregation in an acidic environment. The CEST effect was enhanced as the B1 field increased, and an in vitro pH map was successfully plotted using the ratio method. Fe3O4 NPs could stably serve as reference agents at different pH values. At a concentration of 30 μg/mL, Fe3O4 NPs "shut down" the CEST signals, but when the concentration of Fe3O4 NPs was less than 10 μg/mL, the two contrast agents coexisted. The prepared Fe3O4 NPs had almost no toxicity, and when their concentration rose to 200 μg/mL at pH 6.5 or 7.4, they did not reach the half-maximum inhibitory concentration (IC50). Fe3O4 magnetic NPs with a controllable size and no toxicity were successfully synthesized. By combining Fe3O4 NPs with a CEST contrast agent, the two contrast agents could be imaged simultaneously; at higher concentrations, the iron-based contrast agent "shut down" the CEST signal. An in vitro pH map was successfully plotted by the ratio method. CEST signal inhibition can be used to realize the pH mapping of solid tumors and the identification of tumor active components, thus providing a new imaging method for tumor efficacy evaluation.
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Affiliation(s)
- Feixiang Hu
- Department
of Radiology, Fudan University Shanghai Cancer Center, Department
of Oncology, Shanghai Medical College, Fudan
University, Shanghai, People’s Republic of China 200032
| | - Dan Wang
- Department
of Ultrasound, Shanghai Municipal Hospital of Traditional Chinese
Medicine, Shanghai University of Traditional
Chinese Medicine, Shanghai, People’s Republic of China. 200071
| | - Xiaowen Ma
- Department
of Radiology, Fudan University Shanghai Cancer Center, Department
of Oncology, Shanghai Medical College, Fudan
University, Shanghai, People’s Republic of China 200032
| | - Tingdan Hu
- Department
of Radiology, Fudan University Shanghai Cancer Center, Department
of Oncology, Shanghai Medical College, Fudan
University, Shanghai, People’s Republic of China 200032
| | - Yali Yue
- Department
of Radiology, Children’s Hospital
of Fudan University, Shanghai, People’s Republic of China 200000
| | - Wei Tang
- Department
of Radiology, Fudan University Shanghai Cancer Center, Department
of Oncology, Shanghai Medical College, Fudan
University, Shanghai, People’s Republic of China 200032
| | - PuYe Wu
- GE
Healthcare, Beijing, People’s Republic of China 100176
| | - Tong Tong
- Department
of Radiology, Fudan University Shanghai Cancer Center, Department
of Oncology, Shanghai Medical College, Fudan
University, Shanghai, People’s Republic of China 200032
| | - Weijun Peng
- Department
of Radiology, Fudan University Shanghai Cancer Center, Department
of Oncology, Shanghai Medical College, Fudan
University, Shanghai, People’s Republic of China 200032
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Wang R, Duan Y, Hu M, Liu X, Li Y, Gao Q, Tong T, Tan T. LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results. Displays 2023; 78:102403. [PMID: 36937555 PMCID: PMC10011043 DOI: 10.1016/j.displa.2023.102403] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/07/2023] [Accepted: 02/19/2023] [Indexed: 05/20/2023]
Abstract
Nucleic acid testing is currently the golden reference for coronaviruses (SARS-CoV-2) detection, while the SARS-CoV-2 antigen-detection rapid diagnostic tests (RDT) is an important adjunct. RDT can be widely used in the community or regional screening management as self-test tools and may need to be verified by healthcare authorities. However, manual verification of RDT results is a time-consuming task, and existing object detection algorithms usually suffer from high model complexity and computational effort, making them difficult to deploy. We propose LightR-YOLOv5, a compact rotating SARS-CoV-2 antigen-detection RDT results detector. Firstly, we employ an extremely light-weight L-ShuffleNetV2 network as a feature extraction network with a slight reduction in recognition accuracy. Secondly, we combine semantic and texture features in different layers by judiciously combining and employing GSConv, depth-wise convolution, and other modules, and further employ the NAM attention to locate the RDT result detection region. Furthermore, we propose a new data augmentation approach, Single-Copy-Paste, for increasing data samples for the specific task of RDT result detection while achieving a small improvement in model accuracy. Compared with some mainstream rotating object detection networks, the model size of our LightR-YOLOv5 is only 2.03MB, and it is 12.6%, 6.4%, and 7.3% higher in mAP@.5:.95 metrics compared to RetianNet, FCOS, and R3Det, respectively.
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Affiliation(s)
- Rongsheng Wang
- Faculty of Applied Sciences, Macao Polytechnic University, Rua de Luís Gonzaga Gomes, 999078, Macao Special Administrative Region of China
| | - Yaofei Duan
- Faculty of Applied Sciences, Macao Polytechnic University, Rua de Luís Gonzaga Gomes, 999078, Macao Special Administrative Region of China
| | - Menghan Hu
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200240, China
| | - Xiaohong Liu
- John Hopcroft Center, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yukun Li
- Faculty of Applied Sciences, Macao Polytechnic University, Rua de Luís Gonzaga Gomes, 999078, Macao Special Administrative Region of China
| | - Qinquan Gao
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
| | - Tong Tong
- College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
| | - Tao Tan
- Faculty of Applied Sciences, Macao Polytechnic University, Rua de Luís Gonzaga Gomes, 999078, Macao Special Administrative Region of China
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Tong T, Zainudin NB, Yan J, Rahman AA. The Impact of Industry Clusters on the Performance of High Technology Small and Middle Size Enterprises. Sustainability 2023; 15:9333. [DOI: 10.3390/su15129333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Based on the theory of independent innovation and competitive advantage, this paper takes industry cluster as the independent variable, long-term high-technology small and middle size enterprises (high-tech SMEs) performance and short-term high-tech SMEs’ performance as the dependent variable, and introduces independent innovation as the mediator variable to explore the impact of industry cluster on high-tech SMEs’ performance. SPSS22.0 was used to test the reliability and validity of the questionnaire distributed to 310 high-tech SMEs in Sichuan, China. SPSS is used for statistical analysis, integrating data entry, organization, and analysis functions. Its basic functions include data management, statistical analysis, chart analysis, and output management. A confirmatory factor analysis was conducted. Amos 24.0 is the structural equation model analysis software. After using Amos 24.0 to construct the SEM (Structural Equation Modelling) to verify the hypothesis, it was found that industry cluster has a significant positive impact on long-term and short-term high-tech SMEs’ performance, independent innovation has a significant positive impact on long-term and short-term high-tech SMEs’ performance, and independent innovation plays a mediator role in the relationship between industry cluster and high-tech SMEs’ performance. Based on the research results, this paper puts forward the following suggestions: (1) attach importance to independent innovation, introduce relevant technical talents, and improve innovation; and (2) accelerate the formation of clusters to improve the high-tech SMEs’ performance of the whole industry.
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Affiliation(s)
- Tong Tong
- Department of Literature, Sichuan Minzu College, Kangding 626000, China
- School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia
| | - Norzalina Binti Zainudin
- Department of Resource Management and Consumer Studies, Faculty of Human Ecology, Universiti Putra Malaysia, Serdang 43400, Malaysia
| | - Jingwen Yan
- School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia
| | - Azmawani Abd Rahman
- School of Business and Economics, Universiti Putra Malaysia, Serdang 43400, Malaysia
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Tong S, Li M, Bao Y, Zhang L, Lu P, Tong T, Peng J. Size and number of lymph nodes were risk factors of recurrence in stage II colorectal cancer. BMC Cancer 2023; 23:518. [PMID: 37280520 PMCID: PMC10243026 DOI: 10.1186/s12885-023-10935-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 05/09/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Size and number of lymph nodes (LNs) were reported to be associated with the prognosis of stage II colorectal cancer (CRC). The purpose of this study was to determine the prognostic role of the size of LNs (SLNs) measured by computer tomography (CT) and the number of retrieved LNs (NLNs) in the relapse-free survival (RFS) and overall survival (OS) among stage II CRC patients. METHODS Consecutive patients diagnosed with stage II CRC at Fudan University Shanghai Cancer Center (FUSCC) from January 2011 to December 2015 were reviewed, and 351 patients were randomly divided into two cohorts for cross-validation. The optimal cut-off values were obtained using X-tile program. Kaplan-Meier curves and Cox regression analyses were conducted for the two cohorts. RESULTS Data from 351 stage II CRC patients were analyzed. The cut-off values for SLNs and NLNs were 5.8 mm and 22, respectively, determined by the X-tile in the training cohort. In the validation cohort, Kaplan-Meier curves demonstrated SLNs (P = 0.0034) and NLNs (P = 0.0451) were positively correlated with RFS but not with OS. The median follow-up time in the training cohort and the validation cohort were 60.8 months and 61.0 months respectively. Univariate and multivariate analysis revealed that both SLNs (training cohort: Hazard Ratio (HR) = 2.361, 95% Confidence interval (CI): 1.044-5.338, P = 0.039; validation cohort: HR = 2.979, 95%CI: 1.435-5.184, P = 0.003) and NLNs (training cohort: HR = 0.335, 95%CI: 0.113-0.994, P = 0.049; validation cohort: HR = 0.375, 95%CI: 0.156-0.900, P = 0.021) were independent prognostic factors for RFS whereas not for OS. CONCLUSION SLNs and NLNs are independent prognostic factors for patients with stage II CRC. Patients with SLNs > 5.8 mm and NLNs ≤ 22 are apt to have higher risk of recurrence.
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Affiliation(s)
- Shanyou Tong
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China
| | - Menglei Li
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Fudan University, 200032, Shanghai, China
| | - Yichao Bao
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China
| | - Long Zhang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Cancer Research Institute, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China
| | - Ping Lu
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China
| | - Tong Tong
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.
- Department of Radiology, Fudan University Shanghai Cancer Center, Fudan University, 200032, Shanghai, China.
- Department of Radiology, Department of Oncology, Shanghai Medical College, Fudan University Shanghai Cancer Center, Fudan University, 270 Dong'an Road, 200032, Shanghai, China.
| | - Junjie Peng
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, 200032, Shanghai, China.
- Department of Colorectal Surgery, Department of Oncology, Shanghai Medical College, Fudan University Shanghai Cancer Center, Fudan University, 270 Dong'an Road, 200032, Shanghai, China.
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Wang YQ, Shen LJ, Wan JF, Zhang H, Wang Y, Wu X, Wang JW, Wang RJ, Sun YQ, Tong T, Huang D, Wang L, Sheng WQ, Zhang X, Cai GX, Xu Y, Cai SJ, Zhang Z, Xia F. [Short-course radiotherapy combined with CAPOX and PD-1 inhibitor for the total neoadjuvant therapy of locally advanced rectal cancer: the preliminary single-center findings of a prospective, multicentre, randomized phase II trial (TORCH)]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:448-458. [PMID: 37217353 DOI: 10.3760/cma.j.cn441530-20230107-00010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Objective: Total neoadjuvant therapy has been used to improve tumor responses and prevent distant metastases in patients with locally advanced rectal cancer (LARC). Patients with complete clinical responses (cCR) then have the option of choosing a watch and wait (W&W) strategy and organ preservation. It has recently been shown that hypofractionated radiotherapy has better synergistic effects with PD-1/PD-L1 inhibitors than does conventionally fractionated radiotherapy, increasing the sensitivity of microsatellite stable (MSS) colorectal cancer to immunotherapy. Thus, in this trial we aimed to determine whether total neoadjuvant therapy comprising short-course radiotherapy (SCRT) combined with a PD-1 inhibitor improves the degree of tumor regression in patients with LARC. Methods: TORCH is a prospective, multicenter, randomized, phase II trial (TORCH Registration No. NCT04518280). Patients with LARC (T3-4/N+M0, distance from anus ≤10 cm) are eligible and are randomly assigned to consolidation or induction arms. Those in the consolidation arm receive SCRT (25Gy/5 Fx), followed by six cycles of toripalimab plus capecitabine and oxaliplatin (ToriCAPOX). Those in the induction arm receive two cycles of ToriCAPOX, then undergo SCRT, followed by four cycles of ToriCAPOX. Patients in both groups undergo total mesorectal excision (TME) or can choose a W&W strategy if cCR has been achieved. The primary endpoint is the complete response rate (CR, pathological complete response [pCR] plus continuous cCR for more than 1 year). The secondary endpoints include rates of Grade 3-4 acute adverse effects (AEs) etc. Results: Up to 30 September 2022, 62 patients attending our center were enrolled (Consolidation arm: 34, Induction arm:28). Their median age was 53 (27-69) years. Fifty-nine of them had MSS/pMMR type cancer (95.2%), and only three MSI-H/dMMR. Additionally, 55 patients (88.7%) had Stage III disease. The following important characteristics were distributed as follows: lower location (≤5 cm from anus, 48/62, 77.4%), deeper invasion by primary lesion (cT4 7/62, 11.3%; mesorectal fascia involved 17/62, 27.4%), and high risk of distant metastasis (cN2 26/62, 41.9%; EMVI+ 11/62, 17.7%). All 62 patients completed the SCRT and at least five cycles of ToriCAPOX, 52/62 (83.9%) completing six cycles of ToriCAPOX. Finally, 29 patients achieved cCR (46.8%, 29/62), 18 of whom decided to adopt a W&W strategy. TME was performed on 32 patients. Pathological examination showed 18 had achieved pCR, four TRG 1, and 10 TRG 2-3. The three patients with MSI-H disease all achieved cCR. One of these patients was found to have pCR after surgery whereas the other two adopted a W&W strategy. Thus, the pCR and CR rates were 56.2% (18/32) and 58.1% (36/62), respectively. The TRG 0-1 rate was 68.8% (22/32). The most common non-hematologic AEs were poor appetite (49/60, 81.7%), numbness (49/60, 81.7%), nausea (47/60, 78.3%) and asthenia (43/60, 71.7%); two patients did not complete this survey. The most common hematologic AEs were thrombocytopenia (48/62, 77.4%), anemia (47/62, 75.8%), leukopenia/neutropenia (44/62, 71.0%) and high transaminase (39/62, 62.9%). The main Grade III-IV AE was thrombocytopenia (22/62, 35.5%), with three patients (3/62, 4.8%) having Grade IV thrombocytopenia. No Grade V AEs were noted. Conclusions: SCRT-based total neoadjuvant therapy combined with toripalimab can achieve a surprisingly good CR rate in patients with LARC and thus has the potential to offer new treatment options for organ preservation in patients with MSS and lower-location rectal cancer. Meanwhile, the preliminary findings of a single center show good tolerability, the main Grade III-IV AE being thrombocytopenia. The significant efficacy and long-term prognostic benefit need to be determined by further follow-up.
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Affiliation(s)
- Y Q Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - L J Shen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - J F Wan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - H Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - Y Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - X Wu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - J W Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - R J Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Y Q Sun
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - T Tong
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - D Huang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - L Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - W Q Sheng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - X Zhang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - G X Cai
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Y Xu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - S J Cai
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Z Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
| | - F Xia
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China
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Tian H, Gu C, Li W, Tong T, Wang Y, Yang Y, Wang H, Dai Z, Chen P, Wang F, Lin X, Shangguan L, Wang L. Neutralization of Intracellular pH Homeostasis to Inhibit Osteoclasts Based on a Spatiotemporally Selective Delivery System. Nano Lett 2023; 23:4101-4110. [PMID: 37183806 DOI: 10.1021/acs.nanolett.2c04295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Osteoporosis is a global disease caused by abnormal overactivation of osteoclasts. The acidic environment in sealing zone of osteoclasts with H+ pumped from cytoplasm is critical to the maturation of osteoclasts. Therefore, reducing the intracellular H+ concentration can reduce the H+ secretion of osteoclasts from the source. In our study, we developed a novel nanovesicle which encapsulates Na2HPO4 with a liposome hybridizes with preosteoclast membrane (Na2HPO4@Lipo-pOCm). These nanovesicles release Na2HPO4 into the preosteoclast by targeting preosteoclasts and membrane fusion, reducing the intracellular H+ concentration, and achieve biological cascade regulation of osteoclasts through simple pH regulation. In vitro and in vivo experiments confirmed that these nanovesicles reduce mitochondrial membrane potential by decreasing intracellular H+ concentration, thereby reducing the ROS in osteoclasts as well as the expression of the upstream transcription factor FOXM1 of Acp5. In short, this nanovesicle can significantly inhibit the osteoclasts and ameliorate osteoporosis caused by OVX.
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Affiliation(s)
- Hongsen Tian
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
| | - Chenhui Gu
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Wenshuai Li
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
| | - Tong Tong
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
| | - Yunsheng Wang
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
| | - Yang Yang
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Haoli Wang
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Zhanqiu Dai
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Pengfei Chen
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Feng Wang
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
| | - Xianfeng Lin
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Liqing Shangguan
- Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, Zhejiang 310016, China
- Department of Orthopaedic Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Linfeng Wang
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
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Xie C, You X, Zhang H, Li J, Wang L, Liu Y, Wang Z, Yao R, Tong T, Li M, Wang X, Cui L, Zhang H, Guo H, Li C, Wu J, Xia X. A Nanovaccine Based on Adjuvant Peptide FK-13 and l-Phenylalanine Poly(ester amide) Enhances CD8 + T Cell-Mediated Antitumor Immunity. Adv Sci (Weinh) 2023:e2300418. [PMID: 37162249 PMCID: PMC10369282 DOI: 10.1002/advs.202300418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/17/2023] [Indexed: 05/11/2023]
Abstract
Cancer vaccines have shown promise as effective means of antitumor immunotherapy by inducing tumor antigen-specific T cell immunity. In this study, a novel peptide-based tumor nanovaccine that boosts antigen presentation and elicits effective antitumor immunity is developed. The adjuvant characteristics of an antimicrobial peptide-derived core peptide, FK-13, are investigated and used it to generate a fusion peptide named FK-33 with tumor antigen epitopes. l-phenylalanine-based poly(ester amide) (Phe-PEA), 8p4, is also identified as a competent delivery vehicle for the fusion peptide FK-33. Notably, the vaccination of 8p4 + FK-33 nanoparticles (8FNs) in vivo induces dendritic cell activation in the lymph nodes and elicits robust tumor antigen-specific CD8+ T cell response. The nanovaccine 8FNs demonstrate significant therapeutic and prophylactic efficacy against in situ tumor growth, effectively inhibit tumor metastasis, and significantly prolong the survival of tumor-bearing mice. Moreover, 8FNs can incorporate different tumor antigens and exhibit a synergistic therapeutic effect with antiprogrammed cell death protein 1 (PD-1) therapy. In summary, 8FNs represent a promising platform for personalized cancer vaccines and may serve as a potential combinational modality to improve current immunotherapy.
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Affiliation(s)
- Chunyuan Xie
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Xinru You
- Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Hongxia Zhang
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Jiahui Li
- School of Food Science and Technology, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, 116024, China
| | - Liying Wang
- School of Biomedical Engineering, Sun Yat-sen University, 66 Gongchang Road, Shenzhen, 518107, China
| | - Yongxiang Liu
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Zining Wang
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Ruhui Yao
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Tong Tong
- School of Biomedical Engineering, Sun Yat-sen University, 66 Gongchang Road, Shenzhen, 518107, China
| | - Mengyun Li
- State Key Laboratory of Biocontrol, School of Life Science, Sun Yat-sen University, 135 Xingang West Road, Guangzhou, 510275, China
| | - Xiaojuan Wang
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Lei Cui
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Huanling Zhang
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Hui Guo
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Chunwei Li
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Jun Wu
- Bioscience and Biomedical Engineering Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, 511400, China
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR, 999077, China
| | - Xiaojun Xia
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
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He H, Lin X, Tong T, Xu Y, Hong H, Zhang J, Xu Y, Huang C, Zhou Z. Cadmium exposure impairs skeletal muscle function by altering lipid signature and inducing inflammation in C57BL/6J mice. Ecotoxicol Environ Saf 2023; 258:114986. [PMID: 37163905 DOI: 10.1016/j.ecoenv.2023.114986] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 04/18/2023] [Accepted: 05/03/2023] [Indexed: 05/12/2023]
Abstract
Cadmium (Cd) is a well-known environmental pollutant with high toxicity. Despite a variety of studies have demonstrated that Cd exposure induces multiple organ damages in humans, there is still a lack of knowledge of Cd induced skeletal muscle impairment. Exercise is a non-invasive, effective intervention to improve human health and combat diseases. In this study, we aimed to evaluate the toxic effects of Cd exposure on skeletal muscle function and explore the possibility of exercise for attenuating skeletal muscle toxicity of chronic Cd exposure. C57BL/6J mice were exposed to Cd via drinking water containing CdCl2 10 mg/dL for 8 weeks while a moderate exercise was daily induced by a motorized treadmill to mice. It was found that Cd exposure significantly reduced the ratio of gastrocnemius and body weight, decreased mouse exercise capacity, weakened muscle strength, promoted lipid accumulation and up-regulated pro-apoptotic genes in the skeletal muscle. Non-targeted lipidomics analysis indicated that Cd exposure disturbed lipid metabolism, altered lipid signatures and elevated pro-inflammatory lipid species in the skeletal muscle. Moreover, Cd exposure evoked an intense inflammatory response in the skeletal muscle by up-regulating pro-inflammatory cytokine production such as Eotaxin (CCL11), TNF-α, IL-1β, IL-6, RANTES (CCL5) and so on. Notably, treadmill exercise effectively protected against Cd induced skeletal muscle impairment indicated by the effects of inhibiting lipid metabolism disturbance, suppressing pro-inflammatory cytokine production and preserving skeletal muscle function. These results demonstrated that environment relevant Cd exposure impairs skeletal muscle function and exercise effectively antagonizes the Cd toxicity in the skeletal muscle and preserves skeletal muscle function. This study provided the novel evidence for unraveling Cd toxicity on the skeletal muscle function and highlighted the possibility of considering exercise as a countermeasure for Cd induced skeletal muscle impairment at population level.
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Affiliation(s)
- Haotian He
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiqin Lin
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Tong Tong
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Yudong Xu
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Huihui Hong
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Zhang
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Yongjin Xu
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China
| | - Cong Huang
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China; Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan.
| | - Zhou Zhou
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China; Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China.
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Tong T, Wang F, Miao D, Wang L. Piezo1 involves in intracellular osteogenic transformation signal to promote the ossification of ligamentum flavum. Biochem Biophys Res Commun 2023; 662:114-118. [PMID: 37104881 DOI: 10.1016/j.bbrc.2023.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/16/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023]
Abstract
Ectopic osteogenesis refers to the occurrence of osteoblasts in soft tissues other than bone tissue and the formation of bone tissue. The ligamentum flavum is an essential connecting structure between adjacent vertebral lamina, which participates in the formation of the vertebral canal's posterior wall and maintains the vertebral body's stability. Ossification of the ligamentum flavum (OLF) is one of the manifestations of systemic ossification of the spinal ligaments and one of the degenerative diseases related to the spine. However, there is a lack of research on the expression and biological function of Piezo1 in ligamentum flavum. Whether Piezo1 participates in the development of OLF is still unclear. The FX-5000C cell or tissue pressure culture and real-time observation and analysis system was applied to stretch ligamentum flavum cells to detect the expression of mechanical stress channel and osteogenic markers after the effect of different stretching durations. The results showed elevated expression of mechanical stress channel Piezo1 and osteogenic markers with the effect of tensile time duration. In conclusion, Piezo1 involves in intracellular osteogenic transformation signal to promote the ossification of ligamentum flavum. An approved explanatory model and further research will be required in the future.
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Affiliation(s)
- Tong Tong
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
| | - Feng Wang
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Dechao Miao
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Linfeng Wang
- Department of Spine Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
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Lan J, Chen M, Wang J, Du M, Wu Z, Zhang H, Xue Y, Wang T, Chen L, Xu C, Han Z, Hu Z, Zhou Y, Zhou X, Tong T, Chen G. Using less annotation workload to establish a pathological auxiliary diagnosis system for gastric cancer. Cell Rep Med 2023; 4:101004. [PMID: 37044091 PMCID: PMC10140598 DOI: 10.1016/j.xcrm.2023.101004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/20/2022] [Accepted: 03/17/2023] [Indexed: 04/14/2023]
Abstract
Pathological diagnosis of gastric cancer requires pathologists to have extensive clinical experience. To help pathologists improve diagnostic accuracy and efficiency, we collected 1,514 cases of stomach H&E-stained specimens with complete diagnostic information to establish a pathological auxiliary diagnosis system based on deep learning. At the slide level, our system achieves a specificity of 0.8878 while maintaining a high sensitivity close to 1.0 on 269 biopsy specimens (147 malignancies) and 163 surgical specimens (80 malignancies). The classified accuracy of our system is 0.9034 at the slide level for 352 biopsy specimens (201 malignancies) from 50 medical centers. With the help of our system, the pathologists' average false-negative rate and average false-positive rate on 100 biopsy specimens (50 malignancies) are reduced to 1/5 and 1/2 of the original rates, respectively. At the same time, the average uncertainty rate and the average diagnosis time are reduced by approximately 22% and 20%, respectively.
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Affiliation(s)
- Junlin Lan
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Musheng Chen
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian 350014, China
| | - Jianchao Wang
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian 350014, China
| | - Min Du
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Zhida Wu
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian 350014, China
| | - Hejun Zhang
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian 350014, China
| | - Yuyang Xue
- School of Engineering, University of Edinburgh, Edinburgh EH8 9JU, UK
| | - Tao Wang
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Lifan Chen
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian 350014, China
| | - Chaohui Xu
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Zixin Han
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Ziwei Hu
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Yuanbo Zhou
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Xiaogen Zhou
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China
| | - Tong Tong
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China; Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou University, Fuzhou, Fujian 350108, China; Imperial Vision Technology, Fuzhou, Fujian 350100, China.
| | - Gang Chen
- Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian 350014, China.
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Tong T, Fan Q, Wang Y, Li Y. Benign metastasizing uterine leiomyoma with lymphatic and pulmonary metastases: a case report and literature review. BMC Womens Health 2023; 23:154. [PMID: 37005604 PMCID: PMC10068149 DOI: 10.1186/s12905-023-02237-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/21/2023] [Indexed: 04/04/2023] Open
Abstract
BACKGROUND Benign metastasizing leiomyoma (BML) is a rare disease usually observed in women of reproductive or premenopausal age with a history of uterine myomectomy or hysterectomy. The most common sites of metastases are the pulmonary, and other sites include heart, bones, liver, lymph nodes, bladder, skeletal muscles, and central nervous system. Here, we report a case of a 50 year-old woman with a history of hysterectomy who was initially suspected of uterine sarcoma but was finally confirmed to have BML with lung and lymph node metastases, and discuss the treatment and prognosis of BML. CASE PRESENTATION A 50 year-old woman with a history of total abdominal hysterectomy presented with mild but persistent abdominal pain for more than 3 months. She was suspected of having uterine sarcoma before surgery and laparoscopic extensive debulking surgery including bilateral oophorectomy, pelvic and para-aortic lymph node dissection to the level of the left renal vein, and transcutaneous dissection of the right inguinal lymph nodes. Pathology confirmed a benign leiomyoma, and the patient was diagnosed with BML. No medication was administered after the surgery, and the follow-up was of no significance. CONCLUSION Benign metastasizing leiomyoma (BML) is a rare disorder in which histologically benign smooth muscle tumors metastasize to extrauterine sites. Metastases are commonly observed in the lung, liver, lymph nodes, skin, bladder, esophagus, and skeletal muscles. BML is usually misdiagnosed as a malignant tumor before surgery until the pathology confirms its benign nature. However, this treatment remains controversial and undetermined. The prognosis is usually favorable owing to its benign nature.
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Affiliation(s)
- Tong Tong
- Department of Gynecological Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Hengshan Road No. 910, Shanghai, 200030, China
| | - Qiong Fan
- Department of Gynecological Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Hengshan Road No. 910, Shanghai, 200030, China
| | - Yudong Wang
- Department of Gynecological Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Hengshan Road No. 910, Shanghai, 200030, China.
| | - Yuhong Li
- Department of Gynecological Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Hengshan Road No. 910, Shanghai, 200030, China
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Ji X, Meng Y, Wang Q, Tong T, Liu Z, Lin J, Li B, Wei Y, You X, Lei Y, Song M, Wang L, Guo Y, Qiu Y, Chen Z, Mai B, Xie S, Wu J, Cao N. Cysteine-Based Redox-Responsive Nanoparticles for Fibroblast-Targeted Drug Delivery in the Treatment of Myocardial Infarction. ACS Nano 2023; 17:5421-5434. [PMID: 36929948 DOI: 10.1021/acsnano.2c10042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Upon myocardial infarction (MI), activated cardiac fibroblasts (CFs) begin to remodel the myocardium, leading to cardiac fibrosis and even heart failure. No therapeutic approaches are currently available to prevent the development of MI-induced pathological fibrosis. Most pharmacological trials fail from poor local drug activity and side effects caused by systemic toxicity, largely due to the lack of a heart-targeted drug delivery system that is selective for activated CFs. Here, we developed a reduced glutathione (GSH)-responsive nanoparticle platform capable of targeted delivering of drugs to activated CFs within the infarct area of a post-MI heart. Compared with systemic drug administration, CF-targeted delivery of PF543, a sphingosine kinase 1 inhibitor identified in a high-throughput antifibrotic drug screening, had higher therapeutic efficacy and lower systemic toxicity in a MI mouse model. Our results provide a CF-targeted strategy to deliver therapeutic agents for pharmacological intervention of cardiac fibrosis.
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Affiliation(s)
- Xiaoqian Ji
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Yabin Meng
- School of Biomedical Engineering, Sun Yat-Sen University, Guangdong 510006, China
| | - Qiyuan Wang
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Tong Tong
- School of Biomedical Engineering, Sun Yat-Sen University, Guangdong 510006, China
| | - Zhun Liu
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Jianqing Lin
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Bin Li
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Yan Wei
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Xinru You
- School of Biomedical Engineering, Sun Yat-Sen University, Guangdong 510006, China
| | - Yushan Lei
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Mingyuan Song
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Liying Wang
- School of Biomedical Engineering, Sun Yat-Sen University, Guangdong 510006, China
| | - Yijie Guo
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Yuexiang Qiu
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Zhongyan Chen
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
| | - Bifang Mai
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangdong 510120, China
| | - Shuanglun Xie
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangdong 510120, China
| | - Jun Wu
- RNA Biomedical Institute, Sun Yat-Sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-Sen University, Guangdong 510120, China
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, SAR 999077, China
- Bioscience and Biomedical Engineering Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangdong 511400, China
| | - Nan Cao
- Zhongshan School of Medicine and the Seventh Affiliated Hospital, Sun Yat-Sen University, Guangdong 518107, China
- Key Laboratory for Stem Cells and Tissue Engineering (Sun Yat-Sen University), Ministry of Education, Guangdong 510080, China
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Wu Y, Niu X, Li P, Tong T, Wang Q, Zhang M, Li Y, Liu J, Li Z. Lactobacillaceae improve cognitive dysfunction via regulating gut microbiota and suppressing Aβ deposits and neuroinflammation in APP/PS1 mice. Arch Microbiol 2023; 205:118. [PMID: 36928985 DOI: 10.1007/s00203-023-03466-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/13/2023] [Accepted: 03/04/2023] [Indexed: 03/18/2023]
Abstract
Alzheimer's disease (AD), the most prevalent neurodegenerative disease, has a significant relationship with alteration of the gut microbiota (GM), and the GM-gut-brain axis has been explored to find novel therapeutic approaches for AD. The present study aimed to evaluate the effect of human Lactobacillaceae (HLL) on cognitive function in APP/PS1 mice. The results showed that HLL treatment significantly improved the cognitive function of mice via MWM and NOR tests. Furthermore, the expression of Aβ plaques, tau phosphorylation and neuroinflammation were markedly reduced in the hippocampus. Meanwhile, HLL treatment significantly increased the activity of GSH-PX and decreased the expression levels of IL-6 and MDA in the brain, and simultaneously increased the abundance of beneficial bacteria and restrained pathogenic bacteria in the intestine. Interestingly, significant correlations were observed between significant changes in abundance of GMs and AD-related markers. Collectively, these findings reveal that HLL is a promising therapeutic agent and potential probiotics, which might improve the cognitive function and AD pathologies.
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Affiliation(s)
- Yusong Wu
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Xiaohui Niu
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Peifan Li
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Tong Tong
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Qinger Wang
- College of Biochemical Engineering, Beijing Union University, Beijing, China
| | - Michael Zhang
- Department of Physics and Astronomy, University of Manitoba, Winnipeg, Canada
- Sino Canada Health Engineering Research Institute, Hefei, China
| | - Yongli Li
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Jia Liu
- Internal Trade Food Science and Technology (Beijing) Co., Ltd, Beijing, China
| | - Zuming Li
- College of Biochemical Engineering, Beijing Union University, Beijing, China.
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Zhou X, Tong T, Zhong Z, Fan H, Li Z. Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation. Comput Biol Med 2023; 154:106551. [PMID: 36716685 DOI: 10.1016/j.compbiomed.2023.106551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 01/03/2023] [Accepted: 01/11/2023] [Indexed: 01/21/2023]
Abstract
Biomedical image segmentation is one critical component in computer-aided system diagnosis. However, various non-automatic segmentation methods are usually designed to segment target objects with single-task driven, ignoring the potential contribution of multi-task, such as the salient object detection (SOD) task and the image segmentation task. In this paper, we propose a novel dual-task framework for white blood cell (WBC) and skin lesion (SL) saliency detection and segmentation in biomedical images, called Saliency-CCE. Saliency-CCE consists of a preprocessing of hair removal for skin lesions images, a novel colour contextual extractor (CCE) module for the SOD task and an improved adaptive threshold (AT) paradigm for the image segmentation task. In the SOD task, we perform the CCE module to extract hand-crafted features through a novel colour channel volume (CCV) block and a novel colour activation mapping (CAM) block. We first exploit the CCV block to generate a target object's region of interest (ROI). After that, we employ the CAM block to yield a refined salient map as the final salient map from the extracted ROI. We propose a novel adaptive threshold (AT) strategy in the segmentation task to automatically segment the WBC and SL from the final salient map. We evaluate our proposed Saliency-CCE on the ISIC-2016, the ISIC-2017, and the SCISC datasets, which outperform representative state-of-the-art SOD and biomedical image segmentation approaches. Our code is available at https://github.com/zxg3017/Saliency-CCE.
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Affiliation(s)
- Xiaogen Zhou
- Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, P.R. China; College of Physics and Information Engineering, Fuzhou University, Fuzhou, P.R. China
| | - Tong Tong
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, P.R. China
| | - Zhixiong Zhong
- Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, P.R. China
| | - Haoyi Fan
- School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, P.R. China
| | - Zuoyong Li
- Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, P.R. China.
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Yu Y, Meng Y, Xu X, Tong T, He C, Wang L, Wang K, Zhao M, You X, Zhang W, Jiang L, Wu J, Zhao M. A Ferroptosis-Inducing and Leukemic Cell-Targeting Drug Nanocarrier Formed by Redox-Responsive Cysteine Polymer for Acute Myeloid Leukemia Therapy. ACS Nano 2023; 17:3334-3345. [PMID: 36752654 DOI: 10.1021/acsnano.2c06313] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Ferroptosis is an alternative strategy to overcome chemoresistance, but effective therapeutic approaches to induce ferroptosis for acute myeloid leukemia (AML) treatment are limited. Here, we developed glutathione (GSH)-responsive cysteine polymer-based ferroptosis-inducing nanomedicine (GCFN) as an efficient ferroptosis inducer and chemotherapeutic drug nanocarrier for AML treatment. GCFN depleted intracellular GSH and inhibited glutathione peroxidase 4, a GSH-dependent hydroperoxidase, to cause lipid peroxidation and ferroptosis in AML cells. Furthermore, GCFN-loaded paclitaxel (PTX@GCFN) targeted AML cells and spared normal hematopoietic cells to limit the myeloablation side effects caused by paclitaxel. PTX@GCFN treatment extended the survival of AML mice by specifically releasing paclitaxel and simultaneously inducing ferroptosis in AML cells with restricted myeloablation and tissue damage side effects. Overall, the dual-functional GCFN acts as an effective ferroptosis inducer and a chemotherapeutic drug carrier for AML treatment.
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Affiliation(s)
- Yanhui Yu
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi Medical College, Changzhi, Shanxi 046000, China
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510410, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Department of Hematology, People's Hospital of Zhangzi, Changzhi, Shanxi 046000,China
| | - Yabin Meng
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Xi Xu
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510410, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Tong Tong
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Chong He
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510410, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Liying Wang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Kaitao Wang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Minyi Zhao
- Department of Hematology, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000, China
| | - Xinru You
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Wenwen Zhang
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Linjia Jiang
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510410, China
| | - Jun Wu
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510410, China
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong SAR 999077, China
- Bioscience and Biomedical Engineering Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, 511400, Guangdong, China
| | - Meng Zhao
- RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510410, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
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Gu J, Tong T, Xu D, Cheng F, Fang C, He C, Wang J, Wang B, Yang X, Wang K, Tian J, Jiang T. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study. Cancer 2023; 129:356-366. [PMID: 36401611 DOI: 10.1002/cncr.34540] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 08/22/2022] [Accepted: 09/03/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) can downstage tumors and axillary lymph nodes in breast cancer (BC) patients. However, tumors and axillary response to NAC are not parallel and vary among patients. This study aims to explore the feasibility of deep learning radiomics nomogram (DLRN) for independently predicting the status of tumors and lymph node metastasis (LNM) after NAC. METHODS In total, 484 BC patients who completed NAC from two hospitals (H1: 297 patients in the training cohort and 99 patients in the validation cohort; H2: 88 patients in the test cohort) were retrospectively enrolled. The authors developed two deep learning radiomics (DLR) models for personalized prediction of the tumor pathologic complete response (PCR) to NAC (DLR-PCR) and the LNM status (DLR-LNM) after NAC based on pre-NAC and after-NAC ultrasonography images. Furthermore, they proposed two DLRNs (DLRN-PCR and DLRN-LNM) for two different tasks based on the clinical characteristics and DLR scores, which were generated from both DLR-PCR and DLR-LNM. RESULTS In the validation and test cohorts, DLRN-PCR exhibited areas under the receiver operating characteristic curves (AUCs) of 0.903 and 0.896 with sensitivities of 91.2% and 75.0%, respectively. DLRN-LNM achieved AUCs of 0.853 and 0.863, specificities of 82.0% and 81.8%, and negative predictive values of 81.3% and 87.2% in the validation and test cohorts, respectively. The two DLRN models achieved satisfactory predictive performance based on different BC subtypes. CONCLUSIONS The proposed DLRN models have the potential to accurately predict the tumor PCR and LNM status after NAC. PLAIN LANGUAGE SUMMARY In this study, we proposed two deep learning radiomics nomogram models based on pre-neoadjuvant chemotherapy (NAC) and preoperative ultrasonography images for independently predicting the status of tumor and axillary lymph node (ALN) after NAC. A more comprehensive assessment of the patient's condition after NAC can be achieved by predicting the status of the tumor and ALN separately. Our model can potentially provide a noninvasive and personalized method to offer decision support for organ preservation and avoidance of excessive surgery.
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Affiliation(s)
- Jionghui Gu
- Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Tong Tong
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Dong Xu
- Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Fang Cheng
- Department of Ultrasound, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Chengyu Fang
- Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chang He
- Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jing Wang
- Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Baohua Wang
- Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xin Yang
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Kun Wang
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Tian'an Jiang
- Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Pulsed Electric Field Technology Medical Transformation, Hangzhou, China
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Wei A, Wang K, Wang E, Tong T. Finite-time stabilization for semi-Markov reaction–diffusion memristive NNs: A boundary pinning control scheme. Knowl Based Syst 2023. [DOI: 10.1016/j.knosys.2023.110409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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Li C, Du C, Ge S, Tong T. An eye-tracking study on visual perception of vegetation permeability in virtual reality forest exposure. Front Public Health 2023; 11:1089423. [PMID: 36761146 PMCID: PMC9902884 DOI: 10.3389/fpubh.2023.1089423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/04/2023] [Indexed: 01/26/2023] Open
Abstract
Previous studies have confirmed the significant effects of single forest stand attributes, such as forest type (FT), understory vegetation cover (UVC), and understory vegetation height (UVH) on visitors' visual perception. However, rarely study has yet clearly determined the relationship between vegetation permeability and visual perception, while the former is formed by the interaction of multiple forest stand attributes (i.e., FT, UVC, UVH). Based on a mixed factor matrix of FT (i.e., coniferous forests and broadleaf), UVC level (i.e., 10, 60, and 100%), and UVH level (0.1, 1, and 3 m), the study creates 18 immersive virtual forest videos with different stand attributes. Virtual reality eye-tracking technology and questionnaires are used to collect visual perception data from viewing virtual forest videos. The study finds that vegetation permeability which is formed by the interaction effect of canopy density (i.e., FT) and understory density (i.e., UVC, UVH), significantly affects participant's visual perception: in terms of visual physiology characteristics, pupil size is significantly negatively correlated with vegetation permeability when participants are viewing virtual reality forest; in terms of visual psychological characteristics, the understory density formed by the interaction of UVC and UVH has a significant impact on visual attractiveness and perceived safety and the impact in which understory density is significantly negatively correlated with perceived safety. Apart from these, the study finds a significant negative correlation between average pupil diameter and perceived safety when participants are viewing virtual reality forests. The findings may be beneficial for the maintenance and management of forest parks, as well as provide insights into similar studies to explore urban public green spaces.
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Affiliation(s)
- Chang Li
- School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou, China,*Correspondence: Chang Li ✉
| | - Chunlan Du
- Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing University, Chongqing, China,School of Architecture and Urban Planning, Chongqing University, Chongqing, China,Chunlan Du ✉
| | - Shutong Ge
- School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou, China
| | - Tong Tong
- School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou, China
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48
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Tong T, Gan Y, Li W, Zhang W, Song H, Zhang H, Liao K, Deng J, Li S, Xing Z, Yu Y, Tu Y, Wang W, Chen J, Zhou J, Song X, Zhang L, Wang X, Qin S, Shi Y, Huang W, Wang L. Boosting the Sensitivity of WSe 2 Phototransistor via Janus Interfaces with 2D Perovskite and Ferroelectric Layers. ACS Nano 2023; 17:530-538. [PMID: 36547249 DOI: 10.1021/acsnano.2c09284] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Hybrid systems have recently attracted increasing attention, which combine the special attributes of each constitute and create interesting functionalities through multiple heterointerface interactions. Here, we design a two-dimensional (2D) hybrid phototransistor utilizing Janus-interface engineering, in which the WSe2 channel combines light-sensitive perovskite and spontaneously polarized ferroelectrics, achieving collective ultrasensitive detection performance. The top perovskite (BA2(MA)3Pb4I13) layer can absorb the light efficiently and provide generous photoexcited holes to WSe2. WSe2 exhibit p-type semiconducting states of different degrees due to the selective light-operated doping effect, which also enables the ultrahigh photocurrent of the device. The bottom ferroelectric (Hf0.5Zr0.5O2) layer dramatically decreases the dark current, which should be attributed to the ferroelectric polarization assisted charge trapping effect and improved gate control. As a whole, our phototransistors show excellent photoelectric performances across the ultraviolet to near-infrared range (360-1050 nm), including an ultrahigh ON/OFF current ratio > 109 and low noise-equivalent power of 1.3 fW/Hz1/2, all of which are highly competitive in 2D semiconductor-based optoelectronic devices. In particular, the devices show excellent weak light detection ability, where the distinguishable photoswitching signal is obtained even under a record-low light intensity down to 1.6 nW/cm2, while showing a high responsivity of 2.3 × 105 A/W and a specific detectivity of 4.1 × 1014 Jones. Our work demonstrates that Janus-interface design makes the upper and lower interfaces complement each other for the joint advancement into high-performance optoelectronic applications, providing a picture to realize the integrated engineering on carrier dynamics by light irradiation, electric field, interfacial trapping, and band alignment.
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Affiliation(s)
- Tong Tong
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, Nanjing Tech University, Nanjing211816, China
| | - Yuquan Gan
- School of Physical Science and Information Engineering, Liaocheng University, Liaocheng252059, China
| | - Weisheng Li
- National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, Nanjing University, Nanjing210023, China
| | - Wei Zhang
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing211816, China
| | - Haizeng Song
- National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, Nanjing University, Nanjing210023, China
| | - Hehe Zhang
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing211816, China
| | - Kan Liao
- National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, Nanjing University, Nanjing210023, China
| | - Jie Deng
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai200083, China
| | - Si Li
- National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, Nanjing University, Nanjing210023, China
| | - Ziyue Xing
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an710072, China
| | - Yu Yu
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai200083, China
| | - Yudi Tu
- Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen518060, China
| | - Wenhui Wang
- School of Physics, Southeast University, Nanjing211189, China
| | - Jinlian Chen
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing211816, China
| | - Jing Zhou
- State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai200083, China
| | - Xuefen Song
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing211816, China
| | - Linghai Zhang
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing211816, China
| | - Xiaoyong Wang
- National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, Nanjing University, Nanjing210023, China
| | - Shuchao Qin
- School of Physical Science and Information Engineering, Liaocheng University, Liaocheng252059, China
| | - Yi Shi
- National Laboratory of Solid State Microstructures and Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials, Nanjing University, Nanjing210023, China
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an710072, China
| | - Lin Wang
- Key Laboratory of Flexible Electronics and Institute of Advanced Materials, School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing211816, China
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Wu YQ, Tong T. Curcumae Rhizoma: A botanical drug against infectious diseases. Front Pharmacol 2023; 13:1015098. [PMID: 36703758 PMCID: PMC9871392 DOI: 10.3389/fphar.2022.1015098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 12/22/2022] [Indexed: 01/11/2023] Open
Abstract
Curcumae Rhizoma is the dry rhizome coming from Curcuma longa L. which grow widely in tropical south and southwest Asia. It has been used to treat conditions such as dermatoses, infections, stress, and depression. Moreover, in China, Curcumae Rhizoma and its active constituents have been made into different pharmaceutical preparations. Growing evidence suggests that these preparations can exert antioxidant, anti-inflammatory, and anti-cancer effects, which may play crucial roles in the treatment of various diseases, including cancer, infectious-, autoimmune-, neurological-, and cardiovascular diseases, as well as diabetes. The anti-infective effect of Curcumae Rhizoma has become a popular field of research around the world, including for the treatment of COVID-19, influenza virus, hepatitis B virus, human immunodeficiency virus, and human papilloma virus, among others. In this paper, the basic characteristics of Curcumae Rhizoma and its active constituents are briefly introduced, and we also give an overview on their applications and mechanisms in infectious diseases.
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50
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Li QY, Xiong QW, Yao X, Liu F, Tang X, Fu H, Tong T, Mao J, Peng WX. Roxadustat: Do we know all the answers? Biomol Biomed 2023; 23:354-363. [PMID: 36724056 PMCID: PMC10171438 DOI: 10.17305/bb.2022.8437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 12/23/2022] [Indexed: 01/05/2023]
Abstract
Anemia is a common complication of chronic kidney disease (CKD), and its prevalence rises as the disease progresses. Intravenous or subcutaneous erythropoiesis-stimulating agents (ESAs) are advised to treat CKD-associated anemia, since shortage of erythropoietin (EPO) and iron are the main cause of anemia. However, ESA resistance and safety have spurred a lot of interest in the development of alternate anemia therapies. Roxadustat, an orally administered hypoxia-inducible factor prolyl hydroxylase inhibitor (HIF-PHI) that increases erythropoiesis and may modulate iron metabolism, was recently licensed in China, Chile, South Korea, Japan and the European Union for the treatment of CKD-related anemia. Despite this, clinical trials have shown a number of adverse effects, including cardiovascular disease, hyperkalemia, and infections. In addition, of concern is roxadustat's possible effects on other organs and systems. In this review, based on clinical evidence, we discuss the potentially detrimental effects of roxadustat to the known biology on systems other than kidney, and the need for long-term follow-up in order for roxadustat to be approved in more countries in the future.
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Affiliation(s)
- Qiu-Yu Li
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Qian-Wen Xiong
- Department of Surgical Oncology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xuefeng Yao
- The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fei Liu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Xiaoxiao Tang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Haidong Fu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Tong Tong
- The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhua Mao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Wan-Xin Peng
- Department of Surgical Oncology, National Clinical Research Center for Child Health, National Children's Regional Medical Center, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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