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Zhou X, Lv Y, Xie H, Li Y, Liu C, Zheng M, Wu R, Zhou S, Gu X, Li J, Mi D. RNA sequencing of exosomes secreted by fibroblast and Schwann cells elucidates mechanisms underlying peripheral nerve regeneration. Neural Regen Res 2024; 19:1812-1821. [PMID: 38103248 PMCID: PMC10960293 DOI: 10.4103/1673-5374.387980] [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] [Revised: 08/10/2023] [Accepted: 09/06/2023] [Indexed: 12/18/2023] Open
Abstract
JOURNAL/nrgr/04.03/01300535-202408000-00035/figure1/v/2023-12-16T180322Z/r/image-tiff Exosomes exhibit complex biological functions and mediate a variety of biological processes, such as promoting axonal regeneration and functional recovery after injury. Long non-coding RNAs (lncRNAs) have been reported to play a crucial role in axonal regeneration. However, the role of the lncRNA-microRNA-messenger RNA (mRNA)-competitive endogenous RNA (ceRNA) network in exosome-mediated axonal regeneration remains unclear. In this study, we performed RNA transcriptome sequencing analysis to assess mRNA expression patterns in exosomes produced by cultured fibroblasts (FC-EXOs) and Schwann cells (SC-EXOs). Differential gene expression analysis, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes analysis, and protein-protein interaction network analysis were used to explore the functions and related pathways of RNAs isolated from FC-EXOs and SC-EXOs. We found that the ribosome-related central gene Rps5 was enriched in FC-EXOs and SC-EXOs, which suggests that it may promote axonal regeneration. In addition, using the miRWalk and Starbase prediction databases, we constructed a regulatory network of ceRNAs targeting Rps5, including 27 microRNAs and five lncRNAs. The ceRNA regulatory network, which included Ftx and Miat, revealed that exsosome-derived Rps5 inhibits scar formation and promotes axonal regeneration and functional recovery after nerve injury. Our findings suggest that exosomes derived from fibroblast and Schwann cells could be used to treat injuries of peripheral nervous system.
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Affiliation(s)
- Xinyang Zhou
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province, China
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Yehua Lv
- Department of Orthopedic, Nantong Traditional Chinese Medicine Hospital, Nantong, Jiangsu Province, China
| | - Huimin Xie
- Nantong Stomatological Hospital Affiliated to Nantong University, Nantong, Jiangsu Province, China
| | - Yan Li
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Chang Liu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Mengru Zheng
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Ronghua Wu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Songlin Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Xiaosong Gu
- Suzhou Medical College of Soochow University, Suzhou, Jiangsu Province, China
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Jingjing Li
- Department of General Practice, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Daguo Mi
- Department of Orthopedic, Nantong Traditional Chinese Medicine Hospital, Nantong, Jiangsu Province, China
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Qi H, Hou Y, Zheng Z, Zheng M, Sun X, Xing L. MRI radiomics predicts the efficacy of EGFR-TKI in EGFR-mutant non-small-cell lung cancer with brain metastasis. Clin Radiol 2024:S0009-9260(24)00138-7. [PMID: 38637187 DOI: 10.1016/j.crad.2024.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 04/20/2024]
Abstract
AIM To develop and validate models based on magnetic resonance imaging (MRI) radiomics for predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) in EGFR-mutant non-small-cell lung cancer (NSCLC) patients with brain metastases. MATERIALS AND METHODS 117 EGFR-mutant NSCLC patients with brain metastases who received EGFR-TKI treatment were included in this study from January 1, 2014 to December 31, 2021. Patients were randomly divided into training and validation cohorts in a ratio of 2:1. Radiomics features extracted from brain MRI were screened by least absolute shrinkage and selection operator (LASSO) algorithm. Logistic regression analysis and Cox proportional hazard regression analysis were used to screen clinical risk factors. Clinical (C), radiomics (R), and combined (C + R) nomograms were constructed in models predicting short-term efficacy and intracranial progression-free survival (iPFS), respectively. Calibration curves, Harrell's concordance index (C-index), and decision curve analysis (DCA) were used to evaluate the performance of models. RESULTS Overall response rate (ORR) was 57.3% and median iPFS was 12.67 months. The C + R nomograms were more effective. In the short-term efficacy model, the C-indexes of C + R nomograms in training cohort and validation cohort were 0.860 (0.820-0.901, 95%CI) and 0.843 (0.783-0.904, 95%CI). In iPFS model, the C-indexes of C + R nomograms in training cohort and validation cohort were 0.837 (0.751-0.923, 95%CI) and 0.850 (0.763-0.937, 95%CI). CONCLUSION The C + R nomograms were more effective in predicting EGFR-TKI efficacy of EGFR-mutant NSCLC patients with brain metastases than single clinical or radiomics nomograms.
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Affiliation(s)
- H Qi
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Y Hou
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Z Zheng
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, Shandong, China
| | - M Zheng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - X Sun
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, Shandong, China
| | - L Xing
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
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Cong M, Li J, Wang L, Liu C, Zheng M, Zhou Q, Du M, Ye X, Feng M, Ye Y, Zhang S, Xu W, Lu Y, Wang C, Xia Y, Xie H, Zhang Y, He Q, Gong L, Gu Y, Sun H, Zhang Q, Zhao J, Ding F, Gu X, Zhou S. MircoRNA-25-3p in skin precursor cell-induced Schwann cell-derived extracellular vesicles promotes axon regeneration by targeting Tgif1. Exp Neurol 2024; 376:114750. [PMID: 38492636 DOI: 10.1016/j.expneurol.2024.114750] [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: 12/08/2023] [Revised: 02/20/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
Nerve injury often leads to severe dysfunction because of the lack of axon regeneration in adult mammal. Intriguingly a series of extracellular vesicles (EVs) have the obvious ability to accelerate the nerve repair. However, the detailed molecular mechanisms to describe that EVs switch neuron from a transmitter to a regenerative state have not been elucidated. This study elucidated the microRNA (miRNA) expression profiles of two types of EVs that promote nerve regeneration. The functions of these miRNAs were screened in vitro. Among the 12 overlapping miRNAs, miR-25-3p was selected for further analysis as it markedly promoted axon regeneration both in vivo and in vitro. Furthermore, knockdown experiments confirmed that PTEN and Klf4, which are the major inhibitors of axon regeneration, were the direct targets of miR-25-3p in dorsal root ganglion (DRG) neurons. The utilization of luciferase reporter assays and functional tests provided evidence that miR-25-3p enhances axon regeneration by targeting Tgif1. Additionally, miR-25-3p upregulated the phosphorylation of Erk. Furthermore, Rapamycin modulated the expression of miR-25-3p in DRG neurons. Finally, the pro-axon regeneration effects of EVs were confirmed by overexpressing miR-25-3p and Tgif1 knockdown in the optic nerve crush model. Thus, the enrichment of miR-25-3p in EVs suggests that it regulates axon regeneration, proving a potential cell-free treatment strategy for nerve injury.
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Affiliation(s)
- Meng Cong
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Jiyu Li
- Department of Orthopedic Oncology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China
| | - Lijuan Wang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Chang Liu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Mengru Zheng
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Qiang Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Mingzhi Du
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Xinli Ye
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Min Feng
- Department of Orthopedic Oncology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China
| | - Yujiao Ye
- Medical School of Nantong University, Nantong, Jiangsu 226001, China
| | - Shuyu Zhang
- Medical School of Nantong University, Nantong, Jiangsu 226001, China
| | - Wenqing Xu
- Medical School of Nantong University, Nantong, Jiangsu 226001, China
| | - Yi Lu
- Medical School of Nantong University, Nantong, Jiangsu 226001, China
| | - Cheng Wang
- Medical School of Nantong University, Nantong, Jiangsu 226001, China
| | - Yingjie Xia
- Medical School of Nantong University, Nantong, Jiangsu 226001, China
| | - Huimin Xie
- The Affiliated Nantong Stomatological Hospital of Nantong University, Nantong 226007, China
| | - Yide Zhang
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu, China
| | - Qianru He
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Leilei Gong
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Yun Gu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Hualin Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Qi Zhang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China
| | - Jian Zhao
- Department of Orthopedic Oncology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
| | - Fei Ding
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China.
| | - Xiaosong Gu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China.
| | - Songlin Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Nantong University, Nantong, Jiangsu 226001, China.
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He W, Zhang T, Zheng M, Tabl KM, Huang T, Liao Y, Wu A, Zhang J. Utilization of a novel soil-isolated strain Devosia insulae FS10-7 for deoxynivalenol degradation and biocontrol of Fusarium crown rot in wheat. Phytopathology 2024. [PMID: 38451497 DOI: 10.1094/phyto-10-23-0412-kc] [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: 03/08/2024]
Abstract
Deoxynivalenol (DON) is the most widespread mycotoxin contaminant hazardous to human and animal health globally. It acts as a crucial virulence factor to stimulate the spread of pathogenic Fusarium within wheat plants. Control of DON and Fusarium disease contributes enormously to food safety, which relies on chemical fungicides. Here, we report the biodegradation of DON using a novel soil bacterium, Devosia insulae FS10-7, and the biocontrol effect of that against Fusarium crown rot (FCR). We demonstrated that strain FS10-7 degraded DON to 3-epi-DON by forming a 3-keto-DON intermediate. Such degradation activity can be maintained at a wide range of pH (4-10) and temperature (16 to 42 °C) values under aerobic conditions. Notably, strain FS10-7 exhibited practical inhibitory effects on FCR disease caused by F. graminearum and F. pseudograminearum in the in vitro petri dish test under laboratory conditions and the pot experiment under greenhouse conditions. The mechanisms underlying the biocontrol ability of strain FS10-7 are preliminarily investigated to be associated with its high DON-degrading activity rather than direct antagonism. These results establish the foundation to develop further bioagents capable of biodegrading mycotoxins in cereals and derived products and, accordingly, biocontrol plant diseases caused by DON-producing pathogens.
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Affiliation(s)
- Weijie He
- Huazhong Agricultural University, 47895, college of plant science and technology, Wuhan, Hubei , China;
| | - Tiantian Zhang
- Huazhong Agricultural University, 47895, college of plant science and technology, Wuhan, Hubei , China;
| | - Mengru Zheng
- Huazhong Agricultural University, 47895, college of plant science and technology, Wuhan, Hubei , China;
| | - Karim M Tabl
- Huazhong Agricultural University, 47895, college of plant science and technology, Wuhan, Hubei , China;
| | - Tao Huang
- Huazhong Agricultural University, 47895, college of life science and technology, Wuhan, Hubei , China;
| | - Yucai Liao
- Huazhong Agriculture University, 47895, Molecular Biotechnology Laboratory of Triticeae Crops, Wuhan, Hubei , China
- Huazhong Agricultural University, 47895, College of Plant Science and Technology, Wuhan, Hubei , China;
| | - Aibo Wu
- Shanghai Institute of Nutrition and Health Chinese Academy of Sciences, 26443, Shanghai, Shanghai, China;
| | - Jingbo Zhang
- Huazhong Agricultural University, 47895, college of plant science and technology, Wuhan, Hubei , China;
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Feng M, Zhou Q, Xie H, Liu C, Zheng M, Zhang S, Zhou S, Zhao J. Role of CD36 in central nervous system diseases. Neural Regen Res 2024; 19:512-518. [PMID: 37721278 PMCID: PMC10581564 DOI: 10.4103/1673-5374.380821] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/12/2023] [Accepted: 05/04/2023] [Indexed: 09/19/2023] Open
Abstract
CD36 is a highly glycosylated integral membrane protein that belongs to the scavenger receptor class B family and regulates the pathological progress of metabolic diseases. CD36 was recently found to be widely expressed in various cell types in the nervous system, including endothelial cells, pericytes, astrocytes, and microglia. CD36 mediates a number of regulatory processes, such as endothelial dysfunction, oxidative stress, mitochondrial dysfunction, and inflammatory responses, which are involved in many central nervous system diseases, such as stroke, Alzheimer's disease, Parkinson's disease, and spinal cord injury. CD36 antagonists can suppress CD36 expression or prevent CD36 binding to its ligand, thereby achieving inhibition of CD36-mediated pathways or functions. Here, we reviewed the mechanisms of action of CD36 antagonists, such as Salvianolic acid B, tanshinone IIA, curcumin, sulfosuccinimidyl oleate, antioxidants, and small-molecule compounds. Moreover, we predicted the structures of binding sites between CD36 and antagonists. These sites can provide targets for more efficient and safer CD36 antagonists for the treatment of central nervous system diseases.
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Affiliation(s)
- Min Feng
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Qiang Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Huimin Xie
- Department of Stomatology, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Chang Liu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Mengru Zheng
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Shuyu Zhang
- Medical College of Nantong University, Nantong, Jiangsu Province, China
| | - Songlin Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Jian Zhao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
- Department of Orthopedic Oncology, Second Affiliated Hospital of Naval Medical University, Shanghai, China
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Nguyen-Hoang L, Papastefanou I, Sahota DS, Pooh RK, Zheng M, Chaiyasit N, Tokunaka M, Shaw SW, Seshadri S, Choolani M, Yapan P, Sim WS, Poon LC. Evaluation of screening performance of first-trimester competing-risks prediction model for small-for-gestational age in Asian population. Ultrasound Obstet Gynecol 2024; 63:331-341. [PMID: 37552550 DOI: 10.1002/uog.27447] [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] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/17/2023] [Accepted: 07/21/2023] [Indexed: 08/10/2023]
Abstract
OBJECTIVE To examine the external validity of the Fetal Medicine Foundation (FMF) competing-risks model for the prediction of small-for-gestational age (SGA) at 11-14 weeks' gestation in an Asian population. METHODS This was a secondary analysis of a multicenter prospective cohort study in 10 120 women with a singleton pregnancy undergoing routine assessment at 11-14 weeks' gestation. We applied the FMF competing-risks model for the first-trimester prediction of SGA, combining maternal characteristics and medical history with measurements of mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and serum placental growth factor (PlGF) concentration. We calculated risks for different cut-offs of birth-weight percentile (< 10th , < 5th or < 3rd percentile) and gestational age at delivery (< 37 weeks (preterm SGA) or SGA at any gestational age). Predictive performance was examined in terms of discrimination and calibration. RESULTS The predictive performance of the competing-risks model for SGA was similar to that reported in the original FMF study. Specifically, the combination of maternal factors with MAP, UtA-PI and PlGF yielded the best performance for the prediction of preterm SGA with birth weight < 10th percentile (SGA < 10th ) and preterm SGA with birth weight < 5th percentile (SGA < 5th ), with areas under the receiver-operating-characteristics curve (AUCs) of 0.765 (95% CI, 0.720-0.809) and 0.789 (95% CI, 0.736-0.841), respectively. Combining maternal factors with MAP and PlGF yielded the best model for predicting preterm SGA with birth weight < 3rd percentile (SGA < 3rd ) (AUC, 0.797 (95% CI, 0.744-0.850)). After excluding cases with pre-eclampsia, the combination of maternal factors with MAP, UtA-PI and PlGF yielded the best performance for the prediction of preterm SGA < 10th and preterm SGA < 5th , with AUCs of 0.743 (95% CI, 0.691-0.795) and 0.762 (95% CI, 0.700-0.824), respectively. However, the best model for predicting preterm SGA < 3rd without pre-eclampsia was the combination of maternal factors and PlGF (AUC, 0.786 (95% CI, 0.723-0.849)). The FMF competing-risks model including maternal factors, MAP, UtA-PI and PlGF achieved detection rates of 42.2%, 47.3% and 48.1%, at a fixed false-positive rate of 10%, for the prediction of preterm SGA < 10th , preterm SGA < 5th and preterm SGA < 3rd , respectively. The calibration of the model was satisfactory. CONCLUSION The screening performance of the FMF first-trimester competing-risks model for SGA in a large, independent cohort of Asian women is comparable with that reported in the original FMF study in a mixed European population. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- L Nguyen-Hoang
- Department of Obstetrics and Gynaecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
| | - I Papastefanou
- Fetal Medicine Research Institute, King's College Hospital, London, UK
- Department of Women and Children's Health, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - D S Sahota
- Department of Obstetrics and Gynaecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
| | - R K Pooh
- CRIFM Prenatal Medical Clinic, Osaka, Japan
| | - M Zheng
- Center for Obstetrics and Gynecology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - N Chaiyasit
- Department of Obstetrics and Gynecology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - M Tokunaka
- Department of Obstetrics and Gynecology, Showa University Hospital, Tokyo, Japan
| | - S W Shaw
- Department of Obstetrics and Gynecology, Taipei Chang Gung Memorial Hospital, Taipei, Taiwan
| | | | - M Choolani
- Department of Obstetrics and Gynecology, National University Hospital, Singapore
| | - P Yapan
- Faculty of Medicine, Siriraj Hospital, Bangkok, Thailand
| | - W S Sim
- Maternal-Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - L C Poon
- Department of Obstetrics and Gynaecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
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Burden AD, Okubo Y, Zheng M, Thaçi D, van de Kerkhof P, Hu N, Quaresma M, Thoma C, Choon SE. Efficacy of spesolimab for the treatment of generalized pustular psoriasis flares across pre-specified patient subgroups in the Effisayil 1 study. Exp Dermatol 2023; 32:1279-1283. [PMID: 37140190 DOI: 10.1111/exd.14824] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/13/2023] [Accepted: 04/19/2023] [Indexed: 05/05/2023]
Abstract
Effisayil 1 was a multicentre, randomized, double-blind, placebo-controlled study of the anti-interleukin (IL)-36 receptor monoclonal antibody, spesolimab, in patients presenting with a generalized pustular psoriasis (GPP) flare. Previously published data from this study revealed that within 1 week, rapid pustular and skin clearance were observed in patients receiving spesolimab versus placebo. In this pre-specified subgroup analysis, the efficacy of spesolimab was evaluated according to patient demographic and clinical characteristics at baseline in patients receiving spesolimab (n = 35) or placebo (n = 18) on Day 1. Efficacy was by assessed by achievement of primary endpoint (Generalized Pustular Psoriasis Physician Global Assessment [GPPGA] pustulation subscore of 0 at Week 1) and key secondary endpoint (GPPGA total score of 0 or 1 at Week 1). Safety was assessed at Week 1. Spesolimab was found to be efficacious and had a consistent and favourable safety profile in patients presenting with a GPP flare, regardless of patient demographics and clinical characteristics at baseline.
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Affiliation(s)
- A D Burden
- School of Infection and Immunity, University of Glasgow, Glasgow, UK
| | - Y Okubo
- Department of Dermatology, Tokyo Medical University, Tokyo, Japan
| | - M Zheng
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China
| | - D Thaçi
- Institute and Comprehensive Center for Inflammation Medicine, University of Lübeck, Lübeck, Germany
| | - P van de Kerkhof
- Department of Dermatology, Radboud University, Nijmegen, The Netherlands
| | - N Hu
- Boehringer Ingelheim (China) Investment Co., Ltd, Shanghai, China
| | - M Quaresma
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - C Thoma
- Boehringer Ingelheim International GmbH, Biberach, Germany
| | - S E Choon
- Department of Dermatology, Hospital Sultanah Aminah, Clinical School Johor Bahru, Monash University Malaysia, Subang Jaya, Malaysia
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Zhang S, Zhao Y, Zhou A, Liu H, Zheng M. [Feasibility and safety of one-stage bilateral video-assisted thoracic surgery for resection of bilateral multiple pulmonary nodules]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1254-1258. [PMID: 37488809 PMCID: PMC10366508 DOI: 10.12122/j.issn.1673-4254.2023.07.23] [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] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To evaluate the feasibility and safety of one- stage bilateral video-assisted thoracic surgery (VATS) for resection of bilateral multiple pulmonary nodules (BMPNs). METHODS We analyzed the clinical characteristics, pathological features, perioperative outcomes and follow-up data of 41 patients with BMPNs undergoing one-stage bilateral VATS from July, 2011 to August, 2021. RESULTS One-stage bilateral VATS was performed uneventfully in 40 of the patients, and conversion to open surgery occurred in 1 case. The surgical approaches included bilateral lobectomy (4.9%), lobar-sublobar resection (36.6%) and sublobar-sublobar resection (58.5%) with a mean operative time of 196.3±54.5 min, a mean blood loss of 224.6±139.5 mL, a mean thoracic drainage duration of 4.7±1.1 days and a mean hospital stay of 14±3.8 days. Pathological examination revealed bilateral primary lung cancer in 15 cases, unilateral primary lung cancer in 21 cases and bilateral benign lesions in 5 cases. A total of 112 pulmonary nodules were resected, including 67 malignant and 45 benign lesions. Postoperative complications included pulmonary infection (5 cases), respiratory failure (2 cases), asthma attack (2 cases), atrial fibrillation (2 cases), and drug-induced liver injury (1 case). No perioperative death occurred in these patients, who had a 1-year survival rate of 97.6%. CONCLUSION With appropriate preoperative screening and perioperative management, one-stage bilateral VATS is feasible and safe for resection of BMPNs.
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Affiliation(s)
- S Zhang
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Y Zhao
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - A Zhou
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - H Liu
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - M Zheng
- Department of Thoracic Surgery, Senior Department of Respiratory and Critical Care Medicine, Eighth Medical Center of PLA General Hospital, Beijing 100091, China
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Liu SY, Tu HY, Wei XW, Yan HH, Dong X, Cui J, Zhou Z, Xu C, Zheng M, Li Y, Wang Z, Du Y, Chen Y, Ma R, Wang B, Cang S, Yang JJ, Chen H, Zhou Q, Wu YL. 385P Efficacy and safety of pyrotinib in untreated, advanced non-small cell lung cancer with HER2 mutations: A parallel, multi-center, multi-cohort patient-centric study (CTONG1702 and 1705). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.422] [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: 12/07/2022] Open
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Fu Y, Jin L, Wang H, Duan Y, Yang J, Liu Y, Hu B, Dai Y, Liu W, Zheng M, Li F, Zhang L, Zhang B, Liu A, Sun L, Yuan X, Jin R, Zhuang S, Liu R, Pan K, Zhang Y, Zhai X. INTERIM ANALYSIS OF CHINA-NET CHILDHOOD LYMPHOMA GROUP CNCL-NHL-2017 PROTOCOL IN THE TREATMENT OF CHILDREN WITH DIFFUSE LARGE B-CELL LYMPHOMA. Leuk Res 2022. [DOI: 10.1016/s0145-2126(22)00252-1] [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: 11/05/2022]
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Chen L, Zheng M, Chen Z, Peng Y, Jones C, Graves S, Chen P, Ruan R, Papadimitriou J, Carey-Smith R, Leys T, Mitchell C, Huang YG, Wood D, Bulsara M, Zheng MH. The burden of end-stage osteoarthritis in Australia: a population-based study on the incidence of total knee replacement attributable to overweight/obesity. Osteoarthritis Cartilage 2022; 30:1254-1262. [PMID: 34890810 DOI: 10.1016/j.joca.2021.10.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 07/11/2021] [Revised: 10/11/2021] [Accepted: 10/27/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVES To determine the risk of total knee replacement (TKR) for primary osteoarthritis (OA) associated with overweight/obesity in the Australian population. METHODS This population-based study analyzed 191,723 cases of TKR collected by the Australian Orthopaedic Association National Joint Registry and population data from the Australian Bureau of Statistics. The time-trend change in incidence of TKR relating to BMI was assessed between 2015 and 2018. The influence of obesity on the incidence of TKR in different age and gender groups was determined. The population attributable fraction (PAF) was then calculated to estimate the effect of obesity reduction on TKR incidence. RESULTS The greatest increase in incidence of TKR was seen in patients from obese class III. The incidence rate ratio for having a TKR for obesity class III was 28.683 at those aged 18-54 years but was 2.029 at those aged >75 years. Females in obesity class III were 1.7 times more likely to undergo TKR compared to similarly classified males. The PAFs of TKR associated with overweight or obesity was 35%, estimating 14,287 cases of TKR attributable to obesity in 2018. The proportion of TKRs could be reduced by 20% if overweight and obese population move down one category. CONCLUSIONS Obesity has resulted in a significant increase in the incidence of TKR in the youngest population in Australia. The impact of obesity is greatest in the young and the female population. Effective strategies to reduce the national obese population could potentially reduce 35% of the TKR, with over 10,000 cases being avoided.
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Affiliation(s)
- L Chen
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - M Zheng
- Institute for Health Research, Medical School, University of Notre Dame Australia, Fremantle, Western Australia, Australia
| | - Z Chen
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Y Peng
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia; Australian Orthopaedic Association National Joint Replacement Registry, Adelaide, South Australia, Australia
| | - C Jones
- Department of Orthopaedic Surgery, Fiona Stanley Hospital Group, Perth, Western Australia, Australia
| | - S Graves
- Australian Orthopaedic Association National Joint Replacement Registry, Adelaide, South Australia, Australia
| | - P Chen
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - R Ruan
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - J Papadimitriou
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Pathwest Laboratories, Perth, Western Australia, Australia
| | - R Carey-Smith
- Department of Orthopaedic Surgery, Sir Charles Gardner Hospital, Perth, Western Australia, Australia
| | - T Leys
- Department of Orthopaedic Surgery, Sir Charles Gardner Hospital, Perth, Western Australia, Australia
| | - C Mitchell
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Y G Huang
- Department of Orthopaedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - D Wood
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - M Bulsara
- Institute for Health Research, Medical School, University of Notre Dame Australia, Fremantle, Western Australia, Australia.
| | - M H Zheng
- Centre for Translational Orthopaedic Research, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Perron Institute for Neurological and Translational Science, Perth, Western Australia, Australia.
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Gong L, Gu Y, Han X, Luan C, Liu C, Wang X, Sun Y, Zheng M, Fang M, Yang S, Xu L, Sun H, Yu B, Gu X, Zhou S. Spatiotemporal Dynamics of the Molecular Expression Pattern and Intercellular Interactions in the Glial Scar Response to Spinal Cord Injury. Neurosci Bull 2022; 39:213-244. [PMID: 35788904 PMCID: PMC9905408 DOI: 10.1007/s12264-022-00897-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 03/17/2022] [Accepted: 04/28/2022] [Indexed: 12/22/2022] Open
Abstract
Nerve regeneration in adult mammalian spinal cord is poor because of the lack of intrinsic regeneration of neurons and extrinsic factors - the glial scar is triggered by injury and inhibits or promotes regeneration. Recent technological advances in spatial transcriptomics (ST) provide a unique opportunity to decipher most genes systematically throughout scar formation, which remains poorly understood. Here, we first constructed the tissue-wide gene expression patterns of mouse spinal cords over the course of scar formation using ST after spinal cord injury from 32 samples. Locally, we profiled gene expression gradients from the leading edge to the core of the scar areas to further understand the scar microenvironment, such as neurotransmitter disorders, activation of the pro-inflammatory response, neurotoxic saturated lipids, angiogenesis, obstructed axon extension, and extracellular structure re-organization. In addition, we described 21 cell transcriptional states during scar formation and delineated the origins, functional diversity, and possible trajectories of subpopulations of fibroblasts, glia, and immune cells. Specifically, we found some regulators in special cell types, such as Thbs1 and Col1a2 in macrophages, CD36 and Postn in fibroblasts, Plxnb2 and Nxpe3 in microglia, Clu in astrocytes, and CD74 in oligodendrocytes. Furthermore, salvianolic acid B, a blood-brain barrier permeation and CD36 inhibitor, was administered after surgery and found to remedy fibrosis. Subsequently, we described the extent of the scar boundary and profiled the bidirectional ligand-receptor interactions at the neighboring cluster boundary, contributing to maintain scar architecture during gliosis and fibrosis, and found that GPR37L1_PSAP, and GPR37_PSAP were the most significant gene-pairs among microglia, fibroblasts, and astrocytes. Last, we quantified the fraction of scar-resident cells and proposed four possible phases of scar formation: macrophage infiltration, proliferation and differentiation of scar-resident cells, scar emergence, and scar stationary. Together, these profiles delineated the spatial heterogeneity of the scar, confirmed the previous concepts about scar architecture, provided some new clues for scar formation, and served as a valuable resource for the treatment of central nervous system injury.
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Affiliation(s)
- Leilei Gong
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Yun Gu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Xiaoxiao Han
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Chengcheng Luan
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Chang Liu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Xinghui Wang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Yufeng Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Mengru Zheng
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Mengya Fang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Shuhai Yang
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Lai Xu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Hualin Sun
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Bin Yu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China
| | - Xiaosong Gu
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China.
| | - Songlin Zhou
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, NMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology Products, Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair, Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, China.
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Cadenas J, Pors S, Nikiforov D, Zheng M, Subiran C, Bøtjær J, Mamsen L, Kristensen S, Andersen C. P-517 Validating reference gene expression stability in human ovarian follicles, oocytes, cumulus cells, ovarian medulla, and ovarian cortex tissue. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.479] [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] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
How does the expression stability of commonly used reference genes (RG) vary in different human ovarian cells and tissues?
Summary answer
The RG stability differed among human ovarian cell types and tissues, but an RG with high stability was identified for each cell and tissue type.
What is known already
The expression of RGs used to normalize RT-qPCR may vary between different tissues, cell types, and experimental conditions. Hence, selecting the most appropriate RGs is critical in any experimental design to interpret data generated by RT-qPCR with the best accuracy. Human ovarian cells are phenotypically very different and often only available in limited amounts. In several animal species RG expression stability has been validated in oocytes and other ovarian cells, however, the suitability of a single universal RG in the different human ovarian cells and tissues has not been determined.
Study design, size, duration
This is an experimental study performed at a university hospital from January 2021 to September 2021.
Participants/materials, setting, methods
The freely available NormFinder software was used to analyze the expression stability of five commonly used RGs (GAPDH, B2M, RPLP0, ACTB, and PPIA) in human oocytes (n = 160), preantral follicles (n = 160), cumulus cells (n = 13), ovarian medulla (n = 8), and ovarian cortex tissue (n = 60). Samples were collected from 29 patients (aged 28 years on average; range 14–36) undergoing unilateral oophorectomy and ovarian tissue cryopreservation for fertility preservation.
Main results and the role of chance
The Normfinder software identified ACTB as the best RG for oocytes and cumulus cells; and B2M for medulla tissue and isolated follicles. Overall, comparisons of the cycle threshold (Ct) values demonstrated a wide variation among the RGs within the same group of samples (P < 0.05), especially for oocytes and preantral follicles with normalized RNA. The genes ACTB and RPLP0 showed the highest levels of expression and PPIA the lowest levels of expression in all types of samples, except for cortex tissue, where PPIA had the highest level of expression and B2M the lowest. These results infer that different results could be obtained when using different RGs for data normalization. The combination of two RGs only marginally increased stability, indicating that using a single validated RG would be sufficient when the available testing material is limited. For cultured ovarian cortex culture, GAPDH or ACTB were found to be the most stable genes depending on culture conditions.
Limitations, reasons for caution
Since human oocytes are scarce and contain a small amount of RNA, only five RGs were evaluated. Moreover, only germinal vesicle (GV) oocytes and preantral follicles (60-80 µm) were tested. Future studies may validate other genes and investigate the effect of oocyte maturation and follicle growth on RG stability.
Wider implications of the findings
Our findings highlight the importance of validating RGs for each cell type or tissue and culture condition. Hence, our results can be of use as guidance for future studies involving gene expression analyses in human ovarian cells and tissues, including oocytes and preantral follicles.
Trial registration number
Not applicable
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Affiliation(s)
- J Cadenas
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - S Pors
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - D Nikiforov
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - M Zheng
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - C Subiran
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - J Bøtjær
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - L Mamsen
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - S Kristensen
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
| | - C Andersen
- Laboratory of Reproductive Biology, The Juliane Marie Centre for Women- Children and Reproduction- University Hospital of Copenhagen- Rigshospitalet , Copenhagen, Denmark
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Yan Z, Liu S, Liu Y, Zheng M, Peng J, Chen Q. Effects of dietary superoxide dismutase on growth performance,
antioxidant capacity and digestive enzyme activity
of yellow-feather broilers during the early breeding period (1–28d). J Anim Feed Sci 2022. [DOI: 10.22358/jafs/149331/2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ye L, Chen D, Miao S, Zhu G, Zheng M, Pan C, Ye C. AB0864 A nomogram model combining inflammatory factors and MRI radiomics to assess the disease activity of the patients with axSpA in a prospective study. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundClinical and magnetic resonance imaging (MRI) disease activity score (DAS) are measuring different aspects of axial spondyloarthritis (axSpA), they are essential in disease activity assessment. The radiomics was on facilitating readings by clinical specialists via enhancing the medical images in which subtle data differences could be distinguished.ObjectivesIf the additional information of MRI imaging can be considered as a predictor for axSpA disease activity? In this study, we sought to construct a nomogram integrating the sacroiliac joint (SIJ)- MRI radiomics features and the inflammatory biomarkers to assess disease activity and compare it with clinical disease acitivity index in axSpA patients.Methods203 patients data were collected prospectively and confirmed as axSpA were randomly divided into training (n = 143) and validation cohorts (n = 60). 1316 radiomics features were extracted from the 3.0T SIJ-MRI. A Nomogram model was constructed using multivariate logistic regression analysis Incorporating independent clinical factors and radiomics features score (Rad-score). The performance of clinics, Rad-score and nomogram models were evaluated by ROC analysis, calibration curve and decision curve analysis (DCA), and compared with the disease activity index(Ankylosing Spondylitis DAS (ASDAS)-C reactive protein (CRP), ASDAS-erythrocyte sedimentation rate (ESR), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI)) and Spondyloarthritis Research Consortium of Canada (SPARCC) MRI scoring system.ResultsThe Rad-score allowed a good discrimination in the training (AUC, 0.91; 95% CI, 0.85-0.96) and the validation cohort (AUC, 0.84; 95% CI, 0.73-0.96). The CRP-radiomics nomogram model also showed favorable discrimination in the training (AUC, 0.96; 95% CI, 0.93-0.99) and the validation cohort (AUC, 0.89; 95% CI, 0.80-0.98), better than BASDAI(AUC, 0.58), ASDAS-CRP(AUC, 0.72), ASDAS-ESR(AUC, 0.77), ESR(AUC, 0.72), CRP(AUC, 0.77) and BASFI(AUC, 0.73), had no statistical difference with SPARCC(AUC, 0.87). Calibration curves and DCA demonstrated the nomogram fit well (p > 0.05) and was useful for activity evaluation.ConclusionRad-score showed good discriminative ability to assess disease activity in axSpA. The nomogram can increase the efficacy for assessment axSpA disease activity, which might simplify clinical evaluation.Figure 1.Comparison of ROC curve analyses in prediction models. ROC curves of the clinical features (green curve), radiomics signature model (blue curve), and hybrid model (gold curve) of axSpA in the training cohort (A) and validation cohort (B), respectively. In addition, there are AUC of ASDAS-CRP(pink curve), ASDAS-ESR(brown curve), BASDAI(purple curve), BASFI(azure curve) and SPARCC scoring system(yellow curve) in the validation cohort (B), respectively. AUC: area under the curve; ROC: receiver operating characteristic; SPARCC: Spondyloarthritis Research Consortium of Canada; BASDAI: Bath Ankylosing Spondylitis Disease Activity Index; ASDAS: Ankylosing Spondylitis Disease Activity Score; CRP: C reactive protein; ESR: erythrocyte sedimentation rate; BASFI: Bath Ankylosing Spondylitis Disease Activity Index.References[1]Lee KH, Choi ST, Lee GY, Ha YJ, Choi SI. Method for Diagnosing the Bone Marrow Edema of Sacroiliac Joint in Patients with Axial Spondyloarthritis Using Magnetic Resonance Image Analysis Based on Deep Learning. Diagnostics (Basel). 2021;11(7).[2]Zheng Q, Liu W, Huang Y, Gao Z, Wu Y, Wang X, et al. Predictive Value of Active Sacroiliitis in MRI for Flare Among Chinese Patients with Axial Spondyloarthritis in Remission. Rheumatol Ther. 2021;8(1):411-24.AcknowledgementsNo conflict of interestDisclosure of InterestsNone declared
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Warren RB, Armstrong A, Gooderham M, Strober B, Thaçi D, Imafuku S, Sofen H, Spelman L, Korman NJ, Zheng M, Colston E, Throup J, Kundu S, Kisa R, Banerjee S, Blauvelt A. AB0890 Deucravacitinib, an Oral, Selective Tyrosine Kinase 2 Inhibitor, in Moderate to Severe Plaque Psoriasis: 52-Week Efficacy Results From the Phase 3 POETYK PSO-1 and POETYK PSO-2 Trials. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundTyrosine kinase 2 (TYK2) is an intracellular kinase that mediates signaling of key cytokines (eg, interleukin [IL]-23 and Type I interferons) involved in the pathogenesis of immune-mediated diseases including plaque psoriasis and psoriatic arthritis (PsA). Deucravacitinib is a novel, oral, selective, allosteric inhibitor of TYK2 that achieves high selectivity by uniquely binding to the regulatory domain of the enzyme, rather than to the more conserved active domain. Deucravacitinib showed superior efficacy compared with placebo at 16 weeks in a Phase 2 trial in patients with PsA (NCT03881059). Results from the 16-week, placebo-controlled periods of two 52-week, Phase 3 trials in psoriasis (POETYK PSO-1 and POETYK PSO-2) previously showed that deucravacitinib was significantly more efficacious than placebo and apremilast based on the coprimary endpoints of ≥75% reduction from baseline in Psoriasis Area and Severity Index (PASI 75) and a static Physician’s Global Assessment (sPGA) score of 0 or 1 (clear or almost clear) at Week 16.ObjectivesTo evaluate the efficacy of deucravacitinib over 52 weeks in the POETYK PSO-1 and POETYK PSO-2 trials.MethodsPOETYK PSO-1 (NCT03624127) and PSO-2 (NCT03611751) were double-blinded trials that randomised patients with moderate to severe plaque psoriasis (body surface area involvement ≥10%, PASI ≥12, sPGA score ≥3) 2:1:1 to deucravacitinib 6 mg once daily, placebo, or apremilast 30 mg twice daily. Patients receiving placebo were switched to deucravacitinib at Week 16 in both trials. Patients randomised to deucravacitinib in PSO-1 received deucravacitinib continuously through Week 52. PSO-2 included a randomised withdrawal phase in which patients originally randomised to deucravacitinib who had achieved PASI 75 response at Week 24 were rerandomised 1:1 to placebo or deucravacitinib, whereas those who did not achieve PASI 75 response at Week 24 continued receiving deucravacitinib. The proportions of patients achieving PASI 75 and sPGA 0/1 responses were evaluated up to Week 52. Secondary efficacy endpoints evaluated over this period included PASI 90, PASI 100, percentage change from baseline in PASI, sPGA 0 (clear), change from baseline in the Psoriasis Symptoms and Signs Diary (PSSD) symptom score, and Dermatology Life Quality Index (DLQI) 0/1 (no impact on patient’s life).ResultsA total of 666 and 1020 patients were randomised in PSO-1 and PSO-2, respectively. Demographic and baseline disease characteristics were balanced across treatment groups; mean age was 46.6 years, mean disease duration was 18.6 years, 18.4% of patients had PsA, and 34.8% had previously used biologic therapy. PASI 75, PASI 90, and PASI 100 responses were maintained from Week 16 to Week 52 in PSO-1 (Figure 1). Additionally, sPGA responses were maintained during this period (sPGA 0/1: 53.6% to 52.7%; sPGA 0: 17.5% to 23.5%, respectively). Patients who switched from placebo to deucravacitinib at Week 16 demonstrated PASI 75 and sPGA 0/1 responses at Week 52 (68.3% and 53.8%, respectively) comparable to those observed in patients who received continuous deucravacitinib treatment from Day 1 (65.1% and 52.7%, respectively). In PSO-2, among deucravacitinib-treated patients who achieved PASI 75 at Week 24 and were rerandomised to continue treatment, responses were maintained at Week 52 in the majority of patients (PASI 75, 80.4% [119/148]; sPGA 0/1, 70.3% [83/118]). Results for percentage change from baseline in PASI, change from baseline in the PSSD symptom score, and DLQI 0/1 were consistent with those reported for PASI and sPGA responses.ConclusionResults from the Phase 3 POETYK PSO-1 and PSO-2 trials demonstrated that deucravacitinib was efficacious through 52 weeks in patients with moderate to severe plaque psoriasis. Clinical responses were maintained in patients who received continuous deucravacitinib treatment and were improved in patients who switched from placebo at Week 16 to deucravacitinib treatment.AcknowledgementsThis study was sponsored by Bristol Myers Squibb. Professional medical writing assistance was provided by Julianne Hatfield, PhD at Peloton Advantage, LLC, an OPEN Health company, Parsippany, NJ, USA, and funded by Bristol Myers Squibb.Disclosure of InterestsRichard B. Warren Consultant of: Consulting fees: AbbVie, Almirall, Amgen, Biogen, Boehringer Ingelheim, Celgene, DiCE, Eli Lilly, Janssen, Leo Pharma, Novartis, Pfizer, Sanofi, UCB, Biogen, and UNION., Grant/research support from: Research grants: AbbVie, Almirall, Amgen, Celgene, Eli Lilly, Janssen, Leo Pharma, Novartis, Pfizer, and UCB;, April Armstrong Grant/research support from: Grants and personal fees: AbbVie, Bristol Myers Squibb, Eli Lilly, Janssen, Leo Pharma, and Novartis; Personal fees: Boehringer Ingelheim/Parexel, Celgene, Dermavant, Genentech, GlaxoSmithKline, Menlo Therapeutics, Merck, Modernizing Medicine, Ortho Dermatologics, Pfizer, Regeneron, Sanofi Genzyme, Science 37, Sun Pharma, and Valeant; Grants: Dermira, Kyowa Hakko Kirin, and UCB, outside the submitted work., Melinda Gooderham Consultant of: Advisory board, principal investigator, and lecture fees: Arcutis, Galderma, Leo Pharma, Pfizer, and Regeneron; Principal investigator and consulting fees: Akros Pharma and Kyowa Kirin; Advisory board, principal investigator, lecture fees, and consulting fees: AbbVie, Amgen, Boehringer Ingelheim, Celgene, Eli Lilly, Janssen, Novartis, Sanofi Genzyme, and Valeant; Principal investigator: Aslan, Bristol Myers Squibb, Dermavant, Dermira, GlaxoSmithKline, MedImmune, Merck, Roche Laboratories, and UCB., Bruce Strober Consultant of: Consultant (honoraria): AbbVie, Almirall, Amgen, Arcutis, Arena, Aristea, Asana, Boehringer Ingelheim, Immunic Therapeutics, Bristol Myers Squibb, Connect Biopharma, Dermavant, Eli Lilly, Equillium, Janssen, Leo Pharma, Maruho, Meiji Seika Pharma, Mindera, Novartis, Pfizer, GlaxoSmithKline, Ortho Dermatologics, Regeneron, Sanofi Genzyme, Sun Pharma, UCB, Ventyxbio, and vTv Therapeutics; Speaker: AbbVie, Eli Lilly, Janssen, and Sanofi Genzyme; Co-Scientific Director (consulting fee): CorEvitas’ Psoriasis Registry; Investigator: AbbVie, Cara, CorEvitas’ Psoriasis Registry, Dermavant, Dermira, and Novartis., Diamant Thaçi Speakers bureau: Advisory board, principal investigator, and lecture fees: AbbVie, Almirall, Amgen, Biogen Idec, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, DS Pharma, Eli Lilly, Galapagos, Galderma, Janssen-Cilag, Leo Pharma, Novartis, Pfizer, Regeneron, Roche-Posay, Samsung, Sandoz-Hexal, Sanofi, and UCB., Shinichi Imafuku Grant/research support from: Grants and personal fees: AbbVie, Eisai, Kyowa Kirin, Taiho, Maruho, Tanabe Mitsubishi, Leo Pharma, Janssen, Sun Pharma, Torii, and Yakuhin; Personal fees: Amgen, Bristol Myers Squibb, Daiichi Sankyo, Eli Lilly, Novartis, and UCB., Howard Sofen Consultant of: Clinical Investigator: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Janssen, Leo Pharma, Novartis, and Sun Pharma., Lynda Spelman Consultant of: Consultant, paid investigator, and/or speaker: AbbVie, Amgen, Anacor, Ascend, Astellas, AstraZeneca, Blaze Bioscience, Boehringer Ingelheim, Botanix, Bristol Myers Squibb, Celgene, Dermira, Eli Lilly, Galderma, Genentech, GlaxoSmithKline, Hexima, Janssen, Leo Pharma, Mayne, Medimmune, Merck, Merck-Serono, Novartis, Otsuka, Pfizer, Phosphagenics, Photon MD, Regeneron, Roche, Samumed, Sanofi Genzyme, SHR, Sun Pharma, Trius, UCB, and Zai Lab., Neil J Korman Speakers bureau: Advisory board, consulting fees: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Leo Pharma, Novartis, Principia, Regeneron, Sanofi Genzyme, Sun Pharma, and UCB; Speaker: AbbVie, Eli Lilly, Janssen, Novartis, Regeneron, and Sanofi Genzyme., Consultant of: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Leo Pharma, Novartis, Principia, Regeneron, Sanofi Genzyme, Sun Pharma, and UCB, Grant/research support from: Grant support/principal investigator: AbbVie, Amgen, Argenx, Bristol Myers Squibb, Celgene, Chemocentryx, Eli Lilly, Galderma, Kyowa Hakko Kirin, Leo Pharma, Menlo, Principia, Prothena, Rhizen, Syntimmune, Trevi, and Xbiotech., Min Zheng Speakers bureau: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly China, Leo Pharma China, Novartis China, Pfizer, Sanofi China, and Xian-Janssen., Consultant of: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly China, Leo Pharma China, Novartis China, Pfizer, Sanofi China, and Xian-Janssen., Grant/research support from: AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly China, Leo Pharma China, Novartis China, Pfizer, Sanofi China, and Xian-Janssen., Elizabeth Colston Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, John Throup Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Sudeep Kundu Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Renata Kisa Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Subhashis Banerjee Shareholder of: Employees and shareholders: Bristol Myers Squibb, Employee of: Employees and shareholders: Bristol Myers Squibb, Andrew Blauvelt Consultant of: Scientific advisor and/or clinical study investigator: AbbVie, Abcentra, Aligos, Almirall, Amgen, Arcutis, Arena, Aslan, Athenex, Boehringer Ingelheim, Bristol Myers Squibb, Dermavant, EcoR1, Eli Lilly, Evommune, Forte, Galderma, Incyte, Janssen, Landos, Leo Pharma, Novartis, Pfizer, Rapt, Regeneron, Sanofi Genzyme, Sun Pharma, UCB, and Vibliome.
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Zheng M, Miao S, Chen D, Yao F, Xiao Q, Zhu G, Pan C, Lei T, Ye C, Yang Y, Ye L. POS0962 CAN RADIOMICS REPLACE SPARCC SCORING SYSTEM IN EVALUATING BONE MARROW OEDEMA OF THE SACROILIAC JOINTS IN AXIAL SPONDYLOARTHRITIS? Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundBone marrow oedema (BMO) of the sacroiliac joints (SIJs) is evaluated to diagnose, classify and monitor disease activity in patients with axial spondyloarthritis (axSpA). Available quantitative methodologies rely on human visual assessment, and errors can’t be completely avoided. Radiomics can extract and select discriminative and quantified features from regions of interest (ROIs), making a more accurate and objective description of BMO.ObjectivesTo develop a more objective and efficient method based on radiomics to evaluate BMO of the SIJs by magnetic resonance imaging (MRI) in patients with axSpA in comparison with Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system.MethodsFrom September 2013 to July 2021, 523 patients with axSpA underwent 3.0T SIJ-MRI were included, who were randomly classified as training cohort(n=367) and validation cohort(n=156). The optimal radiomics features, selected from the 3.0T SIJ-MRI in the training cohort, were included to build the radiomics model. Four clinical risk predictors were adopted to build the clinical model. The performance of the clinical and radiomics models was evaluated by ROC analysis and decision curve analysis (DCA). Rad-scores were calculated by the radiomics model and SPARCC scores were performed to quantify the BMO of SIJs. We also assessed the correlation between Rad-score and SPARCC score.ResultsThe radiomics model, built by 15 optimal features, showed favorable discrimination about SPARCC score <2 or ≥2 both in the training (AUC, 0.91; 95% CI: 0.88-0.94) and the validation cohort (AUC, 0.89; 95% CI, 0.84-0.94). DCA confirmed that the radiomics model was clinically useful. Furthermore, Rad-score has significant correlation with SPARCC score for scoring the status of BMO (rs=0.78, P< 0.001), and moderation correlation for scoring the change (r=0.40, P=0.005).ConclusionThe radiomics can accurately assess the BMO of the SIJs in axSpA, providing an alternative to SPARCC scoring system. There was a positive correlation between Rad-score and SPARCC score.References[1]van der Heijde D, Sieper J, Maksymowych WP, Lambert RG, Chen S, Hojnik M, et al. Clinical and MRI remission in patients with nonradiographic axial spondyloarthritis who received long-term open-label adalimumab treatment: 3-year results of the ABILITY-1 trial. Arthritis Res Ther. 2018;20(1):61.[2]Landewé RB, Hermann KG, van der Heijde DM, Baraliakos X, Jurik AG, Lambert RG, et al. Scoring sacroiliac joints by magnetic resonance imaging. A multiple-reader reliability experiment. The Journal of rheumatology. 2005;32(10):2050-5.[3]Cereser L, Zabotti A, Zancan G, Quartuccio L, Cicciò C, Giovannini I, et al. Magnetic resonance imaging assessment of ASAS-defined active sacroiliitis in patients with inflammatory back pain and suspected axial spondyloarthritis: a study of reliability. Clinical and experimental rheumatology. 2021.[4]Maksymowych WP, Inman RD, Salonen D, Dhillon SS, Williams M, Stone M, et al. Spondyloarthritis research Consortium of Canada magnetic resonance imaging index for assessment of sacroiliac joint inflammation in ankylosing spondylitis. Arthritis Rheum. 2005;53(5):703-9.[5]Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2016;278(2):563-77.Table 1.Rad-scores corresponding to different SPARCC score intervals about the status of SIJ-BMO.SPARCC scorenRad-scoreMean(sd)Median (iqr)Range0-1170-1.31(1.64)-1.39(2.16)-6.46, 2.352-61250.73(1.86)0.62(2.12)-3.08, 8.487-11552.25(1.80)2.36(1.79)-1.17, 8.3612-16432.65(2.14)2.66(3.21)-0.76, 7.3917-21383.31(2.05)3.25(2.88)-0.88, 7.5522-26263.08(1.55)3.38(2.12)-1.00, 5.3827-31253.77(1.36)3.77(1.59)0.40, 6.27>31414.10(1.51)4.32(2.28)1.00, 6.96Disclosure of InterestsNone declared
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Khan AR, Khan M, Rehman AU, Zhao TY, Zheng M. Novel Synthesis and Structural Investigations of ZnSO4/MgCl2 Composite Hydrated Salt for Enhanced Thermochemical Heat Storage Applications. RUSS J INORG CHEM+ 2022. [DOI: 10.1134/s0036023622070129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Topalov EN, Mayr D, Scherer C, Chelariu-Raicu A, Beyer S, Hester A, Kraus FBT, Zheng M, Kaltofen T, Kolben T, Burges A, Mahner S, Trillsch F, Jeschke U, Czogalla B. Die funktionelle Rolle von Actin beta-like 2 in der Pathogenese des Ovarialkarzinoms und dessen prognostische Bedeutung für das Gesamtüberleben. Geburtshilfe Frauenheilkd 2022. [DOI: 10.1055/s-0042-1749056] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- E N Topalov
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - D Mayr
- Pathologisches Institut, Medizinische Fakultät, Universitätsklinikum der LMU, München
| | - C Scherer
- Medizinische Klinik und Poliklinik I, Universitätsklinikum der LMU, München
- DZHK (Deutsches Zentrum für Herz-Kreislauf-Forschung e.V.), Munich Heart Alliance, Universitätsklinikum der LMU, München
| | - A Chelariu-Raicu
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - S Beyer
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - A Hester
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - FBT Kraus
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - M Zheng
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - T Kaltofen
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - T Kolben
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - A Burges
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - S Mahner
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - F Trillsch
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
| | - U Jeschke
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
- Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum, Augsburg
| | - B Czogalla
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum der LMU, München
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Jiang T, Sigalos J, Santamaria A, Modiri N, Zheng M, Osadchiy V, Jayadevan R, Islam M, Mills J, Eleswarapu S. Temporal Effects of Clomiphene Citrate on Testosterone and Semen Parameters. J Sex Med 2022. [DOI: 10.1016/j.jsxm.2022.01.040] [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: 11/24/2022]
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Qing Z, Gabrail N, Uprety D, Rotow J, Han B, Jänne P, Nagasaka M, Zheng M, Zhang Y, Yang G, Sun Y, Peng B, Wu YL. 22P EMB-01: An EGFR-cMET bispecific antibody, in advanced/metastatic solid tumors phase I results. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.031] [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: 11/30/2022] Open
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Khoja A, Andraweera P, Lassi Z, Zheng M, Pathirana M, Ali A, Aldrigde E, Wittwer M, Chaudhuri D, Tavella R, Arstall M. Risk Factors for Early Versus Late-Onset Coronary Artery Disease (CAD): Systematic Review and Meta-Analysis. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.510] [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: 11/25/2022]
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Khoja A, Andraweera P, Lassi Z, Zheng M, Pathirana M, Ali A, Aldridge E, Wittwer M, Chaudhuri D, Tavella R, Arstall M. Risk Factors for Premature Coronary Artery Disease (PCAD) in Women Compared to Men: Systematic Review and Meta-Analysis. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.511] [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: 10/16/2022]
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Chang P, Tai B, Zheng M, Yang Q, Xing F. Inhibition of Aspergillus flavus growth and aflatoxin B1 production by natamycin. WORLD MYCOTOXIN J 2021. [DOI: 10.3920/wmj2020.2620] [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] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Aspergillus flavus causes huge crop losses, reduces crop quality and has adverse effects on human and animal health. A large amount of food contaminated with aflatoxin can greatly increase the risk of liver cancer. Therefore, prevention and control of aflatoxin production have aroused attention of research in various countries. Natamycin extracted from Streptomyces spp. has been widely used in production practice due to its good specificity and safety. Here, we found that natamycin could significantly inhibit fungal growth, conidia germination, ergosterol and AFB1 production by A. flavus in a dose-dependent manner. Scanning electron microscope analysis indicated that the number of conidia was decreased, the outer wall of conidia was destroyed, and the mycelia were shrivelled and tangled by natamycin. RNA-Seq data indicated that natamycin inhibited fungal growth and conidia development of A. flavus by significantly down-regulating some genes involved in ergosterol biosynthesis, such as Erg13, HMG1 and HMG2. It inhibited conidia germination by significantly down-regulating some genes related to conidia development, such as FluG and VosA. After natamycin exposure, the decreased ratio of aflS/aflR caused by the down-regulation of all the structural genes, which subsequently resulted in the suppression of AFB1 production. In conclusion, this study served to reveal the inhibitory mechanisms of natamycin on fungal growth and AFB1 biosynthesis in A. flavus and to provide solid evidence for its application in controlling AFB1 contamination.
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Affiliation(s)
- P. Chang
- College of Food Science and Engineering, Qingdao Agricultural University, 700 Changcheng Road, Qingdao, 266109, China P.R
| | - B. Tai
- Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China P.R
| | - M. Zheng
- College of Food Science and Engineering, Qingdao Agricultural University, 700 Changcheng Road, Qingdao, 266109, China P.R
| | - Q. Yang
- College of Food Science and Engineering, Qingdao Agricultural University, 700 Changcheng Road, Qingdao, 266109, China P.R
| | - F. Xing
- College of Food Science and Engineering, Qingdao Agricultural University, 700 Changcheng Road, Qingdao, 266109, China P.R
- Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Beijing 100193, China P.R
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Wen D, Xu Z, An R, Ren J, Jia Y, Li J, Zheng M. Predicting haemodynamic significance of coronary stenosis with radiomics-based pericoronary adipose tissue characteristics. Clin Radiol 2021; 77:e154-e161. [PMID: 34852918 DOI: 10.1016/j.crad.2021.10.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/29/2021] [Indexed: 01/06/2023]
Abstract
AIM To investigate the diagnostic performance of the radiomics features of pericoronary adipose tissue (PCAT) in determining haemodynamically significant coronary artery stenosis as evaluated by fractional flow reserve (FFR). MATERIALS AND METHODS A total of 92 patients with clinically suspected coronary artery disease who underwent coronary computed tomography (CT) angiography (CCTA), invasive coronary angiography (ICA), and FFR examination within 1 month were included retrospectively, and 121 lesions were randomly assigned to the training and testing set. Based on manual segmentation of PCAT, 1,116 radiomics features were computed. After radiomics robustness assessment and feature selection, radiomics models were established using the different machine-learning algorithms. The area under the receiver operating characteristic (ROC) curve (AUC) and net reclassification index (NRI) were analysed to compare the discrimination and reclassification abilities of radiomics models. RESULTS Two radiomics features were selected after exclusions, and both were significantly higher in coronary arteries with FFR ≤0.8 than those with FFR >0.8. ROC analysis showed that the combination of CCTA and decision tree radiomics model achieved significantly higher diagnostic performance (AUC: 0.812) than CCTA alone (AUC: 0.599, p=0.015). Furthermore, the NRI of the combined model was 0.820 and 0.775 in the training and testing sets, respectively, suggesting the radiomics features of PCAT had were effective in classifying the haemodynamic significance of coronary stenosis. CONCLUSIONS Adding PCAT radiomics features to CCTA enabled identification of haemodynamically significant coronary artery stenosis.
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Affiliation(s)
- D Wen
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, Shaanxi province, China
| | - Z Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, Shaanxi province, China
| | - R An
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, Shaanxi province, China
| | - J Ren
- GE Healthcare China, Daxing District, 1 Tongji South Road, Beijing, 100176, China
| | - Y Jia
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, Shaanxi province, China
| | - J Li
- Department of Cardiology, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, Shaanxi province, China
| | - M Zheng
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, Shaanxi province, China.
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Li Y, Raza F, Liu Y, Wei Y, Rong R, Zheng M, Yuan W, Su J, Qiu M, Li Y, Raza F, Liu Y, Wei Y, Rong R, Zheng M, Yuan W, Su J, Qiu M. Clinical progress and advanced research of red blood cells based drug delivery system. Biomaterials 2021; 279:121202. [PMID: 34749072 DOI: 10.1016/j.biomaterials.2021.121202] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [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: 12/24/2020] [Revised: 09/27/2021] [Accepted: 10/20/2021] [Indexed: 02/07/2023]
Abstract
Red blood cells (RBCs) are biocompatible carriers that can be employed to deliver different bioactive substances. In the past few decades, many strategies have been developed to encapsulate or attach drugs to RBCs. Osmotic-based encapsulation methods have been industrialized recently, and some encapsulated RBC formulations have reached the clinical stage for treating tumors and neurological diseases. Inspired by the intrinsic properties of intact RBCs, some advanced delivery strategies have also been proposed. These delivery systems combine RBCs with other novel systems to further exploit and expand the application of RBCs. This review summarizes the clinical progress of drugs encapsulated into intact RBCs, focusing on the loading and clinical trials. It also introduces the latest advanced research based on developing prospects and limitations of intact RBCs drug delivery system (DDS), hoping to provide a reference for related research fields and further application potential of intact RBCs based drug delivery system.
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Affiliation(s)
- Yichen Li
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Faisal Raza
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Yuhao Liu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Yiqi Wei
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Ruonan Rong
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Mengyuan Zheng
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Weien Yuan
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Jing Su
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China.
| | - Mingfeng Qiu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China.
| | - Y Li
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - F Raza
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Y Liu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - Y Wei
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - R Rong
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - M Zheng
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - W Yuan
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - J Su
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
| | - M Qiu
- School of Pharmacy Shanghai Jiao Tong University 800, Dongchuan Road, 200240, Shanghai, China
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Zheng M, Li Y, Tu H, Sun H, Yin K, Yang J, Zhang X, Zhou Q, Wu Y. OA16.03 Matched Targeted Therapy by cfDNA of CSF Beyond Leptomeningeal Metastases Progression Upon Osimertinib in EGFR-Mutated NSCLC Patients. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.088] [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: 10/20/2022]
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Li J, Tian Y, Zheng M, Liu X, Yao W. P14.06 Toripalimab in Combination With Bevacizumab and Platinum-Based Chemotherapy in Patients with Untreated Advanced PSC: A Phase II Study. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.336] [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: 10/20/2022]
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29
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Chen J, Wei W, Zheng L, Li H, Feng Y, Wan T, Huang Q, Liu G, Tu H, Qiu J, Jiang X, Xiong Y, Zheng M, Li J, Huang H, Song L, Liu J, Zhang Y. 732P Anlotinib plus pemetrexed in patients with platinum-resistant ovarian cancer: A single-arm, open-label, phase II study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1175] [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: 10/20/2022] Open
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Yang L, Zhang W, Zhang ML, Shen KF, Wang JC, Guan YQ, Cai HD, Bao YH, Xiao M, Zhou JF, Zheng M. [Treatment of relapsed and refractory EZB/C3 subtype DLBCL with chidamide in combination of R2-CHOP: a case report]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:436-437. [PMID: 34218590 PMCID: PMC8293004 DOI: 10.3760/cma.j.issn.0253-2727.2021.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- L Yang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - W Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M L Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - K F Shen
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J C Wang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Q Guan
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H D Cai
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y H Bao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J F Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M Zheng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Qian XH, Zheng M, Zheng YQ, He JY, Yao YM, Tao R, Ma L, Li DM, Yuan Z. [Analysis on prediction power of HIV infection risk assessment tool in men who have sex with men in Guizhou province]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:672-676. [PMID: 34814449 DOI: 10.3760/cma.j.cn112338-20200923-01180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
Objective: To evaluate the prediction power of HIV infection risk assessment tool and the applicability in MSM in Guizhou province. Methods: MSM were recruited through snowball sampling method. Questionnaire surveys were conducted among the MSM using HIV infection risk assessment tool, and combined with HIV serologic test results, the risk prediction power of HIV infection risk assessment tool was evaluated. Results: A total of 3 379 MSM were recruited from January 2018 to December 2019 in Guizhou. The HIV infection rate was 3.3%(111/3 379). The mean risk scores of HIV positive and HIV negative MSM were (12.15±3.08) and (12.07±3.07), respectively. The difference in risk score was significant between MSM with different HIV status (t=8.69, P<0.001). According to the principle of decision tree, individual risk scores were divided into following three categories: ≤11.96, 11.97-14.80 and >14.80, the HIV infection rate was 0.8%, 4.3% and 8.6% respectively, suggesting that the higher the individual risk score was, the higher the HIV infection rate was (trend χ2=88.18, P<0.001). Multivariate logistic regression analysis showed that the higher the individual risk score was, the higher the risk of HIV infection was. Compared to the total score ≤11.96, the aOR values at total scores of 11.97-14.80 and >14.80 were 6.34 (95%CI: 3.38-11.88) and 14.07(95%CI: 7.44-26.61), respectively. The risk of HIV infection in Miao ethnic group was higher than that in Han ethnic group (aOR=1.83, 95%CI:1.04-3.21), and the risk of HIV infection in those with education level of primary school and below was higher than that in undergraduates or those with education level of junior college and above (aOR=2.50, 95%CI:1.06-5.88), and the risk of HIV infection was higher in those who had bisexual behaviors than in those who had homosexual behaviors (aOR=1.95, 95%CI:1.19-3.19). The risk of HIV infection was higher in those who had never received HIV testing (aOR=1.53, 95%CI:1.01-2.33). The area under the receiver operating characteristic (ROC) curve and area under ROC (AUC) for HIV infection prediction was 0.751 (95%CI:0.710-0.792, P<0.001). The maximum Youden's index was individual risk score of 12.56, and the sensitivity of the risk assessment tool was 0.838, and its specificity was 0.412. Conclusions: The results of HIV infection risk assessment tool in Guizhou indicated that in MSM the higher the individual risk score, the higher the risk of HIV infection is. The tool can be used to evaluate the risk of HIV infection in MSM, but the specificity should be improved.
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Affiliation(s)
- X H Qian
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
| | - M Zheng
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
| | - Y Q Zheng
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
| | - J Y He
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Y M Yao
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
| | - R Tao
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
| | - L Ma
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
| | - D M Li
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Yuan
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang 550004, China
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Yang X, Wang S, Wei X, He Y, Zheng M, Yan H, Yang J, Wu Y, Zhou Q. P85.07 Neutrophils Counts Deregulated by C-met TKIs and the Variation Predicts Treatment Response in NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1229] [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: 10/21/2022]
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Zheng M, Li Y, Li X, Zhou Q, Xu C, Jiang B, Wu Y. P75.20 Outcomes of Lung Cancer Patients with Leptomeningeal Metastases Following Immune Checkpoint Inhibitor Treatments: A Pooled Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1054] [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: 10/21/2022]
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Peng L, Li A, Liu S, Sun H, Zheng M, Zhou J, Zhang J, Zhang X, Zhou Q, Zhong W, Yang X, Tu H, Su J, Yan H, Gou L, Gao H, Wu Y. P85.02 NGS could not Replace FISH Regarding to MET Amplification as an Optimal Biomarker. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1224] [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: 10/21/2022]
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35
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Li J, Ge J, Tian Y, Yang Y, Zheng M, Yu P, Yao W. P76.36 A Phase 2 Study of Anlotinib Combined with Pemetrexed-Platinum (PP) as Second-Line Treatment in EGFR-Positive Non-Small Cell Lung Cancer (NSCLC). J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1093] [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: 11/16/2022]
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Tian C, Liu L, Zheng M, Ye Z, Chen R, Lan X. MiR-503 Contributes to Glucocorticoid Sensitivity in Acute Lymphoblastic Leukaemia via Targeting WNT3A. Folia Biol (Praha) 2021; 67:199-207. [PMID: 35439853] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Abnormal accumulation of lymphoblasts in the blood and bone marrow is the main characteristic of acute lymphoblastic leukaemia (ALL). Glucocorticoids are effective drugs for ALL, while glucocorticoid resistance is an obstacle to ALL therapy. MicroRNAs (miRNAs) are implicated in the drug resistance and modulate the response of ALL to glucocorticoids. The role of miR-503 in glucocorticoid sensitivity of ALL was investigated in this study. Firstly, T-leukaemic cells were isolated from patients with ALL. The human ALL cell line (CCRF/CEM) was incubated with dexamethasone to establish a glucocorticoid- resistant ALL cell line (CCRF/CEM-R). Data from MTT showed that IC50 (50% inhibitory concentration) of dexamethasone in T-leukaemic cells isolated from glucocorticoid-resistant ALL patients or CCRF/CEM-R was increased compared with IC50 in T-leukaemic cells isolated from glucocorticoid- sensitive ALL patients or CCRF/CEM. MiR- 503 was down-regulated in glucocorticoid-resistant leukaemic cells and CCRF/CEM-R. Secondly, overexpression of miR-503 sensitized CCRF/CEM-R to dexamethasone. Moreover, over-expression of miR- 503 also promoted the sensitivity of ALL cells to dexamethasone. Thirdly, miR-503 bound to WNT3A mRNA and negatively regulated the expression of WNT3A. Over-expression of miR-503 reduced protein expression of nuclear β-catenin, and over-expression of WNT3A attenuated the miR-503 overexpression- induced decrease in nuclear β-catenin. Lastly, the over-expression of miR-503-induced increased sensitivity of ALL-resistant cells and CCRF/ CEM-R to dexamethasone was attenuated by overexpression of WNT3A. In conclusion, miR-503 targeted WNT3A mRNA to sensitize ALL cells to glucocorticoids through inactivation of the Wnt/β-catenin pathway.
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Affiliation(s)
- C Tian
- Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - L Liu
- Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - M Zheng
- Department of Obstetrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - Z Ye
- Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - R Chen
- Department of Paediatrics, Shunde Women's and Children's Hospital of Guangdong Medical University, Foshan, Guangdong Province, China
| | - X Lan
- Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
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Han W, Zheng M, Banerjee A, Luo YZ, Shen L, Khursheed A. Quantitative material analysis using secondary electron energy spectromicroscopy. Sci Rep 2020; 10:22144. [PMID: 33335154 PMCID: PMC7746715 DOI: 10.1038/s41598-020-78973-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/02/2020] [Indexed: 11/09/2022] Open
Abstract
This paper demonstrates how secondary electron energy spectroscopy (SEES) performed inside a scanning electron microscope (SEM) can be used to map sample atomic number and acquire bulk valence band density of states (DOS) information at low primary beam voltages. The technique uses an electron energy analyser attachment to detect small changes in the shape of the scattered secondary electron (SE) spectrum and extract out fine structure features from it. Close agreement between experimental and theoretical bulk valance band DOS distributions was obtained for six different test samples, where the normalised root mean square deviation ranged from 2.7 to 6.7%. High accuracy levels of this kind do not appear to have been reported before. The results presented in this paper point towards SEES becoming a quantitative material analysis companion tool for low voltage scanning electron microscopy (LVSEM) and providing new applications for Scanning Auger Microscopy (SAM) instruments.
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Affiliation(s)
- W Han
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - M Zheng
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore
| | - A Banerjee
- Physics Department, Bidhan Chandra College, Kazi Nazrul University, Asansol, West Bengal, 713303, India
| | - Y Z Luo
- Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore
| | - L Shen
- Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Singapore
| | - A Khursheed
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
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Sun J, Shi Y, Du Y, Wang Z, Liu Z, Wang H, Zhao G, Ma Y, Zheng M. Rapid Detection of Diarrheagenic Escherichia coli by a New Multiplex Real-Time Quantitative PCR Assay. APPL BIOCHEM MICRO+ 2020. [DOI: 10.1134/s0003683820060174] [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: 11/23/2022]
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Shan D, Yao YM, Zheng M, Wang FL, Sun JY, Xiong R, Han MJ, Hu YY. [A survey on sexual needs and factors of HIV risky sexual behaviors among elderly men at different ages in two communities of Qiandongnan Miao and Dong autonomous prefecture]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:1227-1231. [PMID: 33147921 DOI: 10.3760/cma.j.cn112150-20200113-00018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand sexual needs and factors of risky sexual behaviors among elderly men at different ages in two communities of Qiandongnan Miao and Dong autonomous prefecture and provide basis for targeted HIV prevention and intervention. Methods: Two communities in the prefecture were selected as study sites. Questionnaire surveys were carried out among elderly men aged 50 and over who visited or consulted in the communities from June to December 2018, and they were tested for HIV and syphilis antibodies. Results: Among 400 elderly men, 209 (52.2%) were 50-64 years old, and 191(47.8%) were above 65 years old. They were mainly Miao people, accounting for 66.3% (265/400), and 235 (58.8%) had an education no more than 6 years. HIV awareness of the two age groups were only 25.8% (54/199) and 26.2% (50/191), respectively. Among those aged 50-64, 142 (68.0%) felt normal sexual desire, and 153 (73.6%) reported penile erections or erections in most cases whenever sex, and 52.9% (110) ejaculated most of the time. HIV prevalence was 1.0% (4/400). Compared with the over 65-year-old group, the proportion of having sex with spouse/stable partners (89.5%, 179/200), proportion of no condom use with their spouse/stable sexual partners during the most recent sex (93.8%, 168/179), proportion of having casual sex (11.0%, 23/209) and commercial sex (3.8%, 8/209) were all higher among 50-64 age group. In comparison to those aged over 65 years old, average monthly income>3 000, and use of sex helper, aged 50-64 (OR=2.70, 95%CI: 1.22-5.95), average monthly income ≤1 000 yuan (OR=2.79, 95%CI: 1.25-6.21), and no use of sex helper (OR=3.78) (95%CI: 1.65-8.67) were related factors of HIV risky sexual behavior last time. Conclusion: Elderly men in the minority prefecture had low HIV awareness. Compared with those≥65 years old, the 50-64 age group had more active sexual behaviors and higher sexual needs. Those from 50-64 age group, with lower economic level and good sexual ability were more likely to have HIV risky sexual behaviors.
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Affiliation(s)
- D Shan
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y M Yao
- Division of AIDS Control and Prevention, Guizhou Center of Disease Control and Prevention, Guiyang 550004, China
| | - M Zheng
- Division of AIDS Control and Prevention, Guizhou Center of Disease Control and Prevention, Guiyang 550004, China
| | - F L Wang
- Division of AIDS Control and Prevention, Center for Disease Control and Prevention of Qiandongnan Miao and Dong Autonomous Prefecture, Kaili 556000, China
| | - J Y Sun
- Division of AIDS Control and Prevention, Kaili Center of Disease Control and Prevention, Kaili 556000, China
| | - R Xiong
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M J Han
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y Y Hu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Chaemsaithong P, Sahota D, Pooh RK, Zheng M, Ma R, Chaiyasit N, Koide K, Shaw SW, Seshadri S, Choolani M, Panchalee T, Yapan P, Sim WS, Sekizawa A, Hu Y, Shiozaki A, Saito S, Leung TY, Poon LC. First-trimester pre-eclampsia biomarker profiles in Asian population: multicenter cohort study. Ultrasound Obstet Gynecol 2020; 56:206-214. [PMID: 31671479 DOI: 10.1002/uog.21905] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [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: 08/26/2019] [Revised: 10/08/2019] [Accepted: 10/11/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVES To (i) evaluate the applicability of the European-derived biomarker multiples of the median (MoM) formulae for risk assessment of preterm pre-eclampsia (PE) in seven Asian populations, spanning the east, southeast and south regions of the continent, (ii) perform quality-assurance (QA) assessment of the biomarker measurements and (iii) establish criteria for prospective ongoing QA assessment of biomarker measurements. METHODS This was a prospective, non-intervention, multicenter study in 4023 singleton pregnancies, at 11 to 13 + 6 weeks' gestation, in 11 recruiting centers in China, Hong Kong, India, Japan, Singapore, Taiwan and Thailand. Women were screened for preterm PE between December 2016 and June 2018 and gave written informed consent to participate in the study. Maternal and pregnancy characteristics were recorded and mean arterial pressure (MAP), mean uterine artery pulsatility index (UtA-PI) and maternal serum placental growth factor (PlGF) were measured in accordance with The Fetal Medicine Foundation (FMF) standardized measurement protocols. MAP, UtA-PI and PlGF were transformed into MoMs using the published FMF formulae, derived from a largely Caucasian population in Europe, which adjust for gestational age and covariates that affect directly the biomarker levels. Variations in biomarker MoM values and their dispersion (SD) and cumulative sum tests over time were evaluated in order to identify systematic deviations in biomarker measurements from the expected distributions. RESULTS In the total screened population, the median (95% CI) MoM values of MAP, UtA-PI and PlGF were 0.961 (0.956-0.965), 1.018 (0.996-1.030) and 0.891 (0.861-0.909), respectively. Women in this largely Asian cohort had approximately 4% and 11% lower MAP and PlGF MoM levels, respectively, compared with those expected from normal median formulae, based on a largely Caucasian population, whilst UtA-PI MoM values were similar. UtA-PI and PlGF MoMs were beyond the 0.4 to 2.5 MoM range (truncation limits) in 16 (0.4%) and 256 (6.4%) pregnancies, respectively. QA assessment tools indicated that women in all centers had consistently lower MAP MoM values than expected, but were within 10% of the expected value. UtA-PI MoM values were within 10% of the expected value at all sites except one. Most PlGF MoM values were systematically 10% lower than the expected value, except for those derived from a South Asian population, which were 37% higher. CONCLUSIONS Owing to the anthropometric differences in Asian compared with Caucasian women, significant differences in biomarker MoM values for PE screening, particularly MAP and PlGF MoMs, were noted in Asian populations compared with the expected values based on European-derived formulae. If reliable and consistent patient-specific risks for preterm PE are to be reported, adjustment for additional factors or development of Asian-specific formulae for the calculation of biomarker MoMs is required. We have also demonstrated the importance and need for regular quality assessment of biomarker values. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- P Chaemsaithong
- Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR
| | - D Sahota
- Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR
| | - R K Pooh
- CRIFM Clinical Research Institute of Fetal Medicine PMC, Osaka, Japan
| | - M Zheng
- Nanjing Drum Tower Hospital, Nanjing, China
| | - R Ma
- First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - N Chaiyasit
- King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - K Koide
- Showa University Hospital, Tokyo, Japan
| | - S W Shaw
- Taipei Chang Gung Memorial Hospital, Taipei, Taiwan
| | | | | | | | - P Yapan
- Siriraj Hospital, Bangkok, Thailand
| | - W S Sim
- KK Women's and Children's Hospital, Singapore
| | | | - Y Hu
- Nanjing Drum Tower Hospital, Nanjing, China
| | - A Shiozaki
- University of Toyama University Hospital, Toyama, Japan
| | - S Saito
- University of Toyama University Hospital, Toyama, Japan
| | - T Y Leung
- Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR
| | - L C Poon
- Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR
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Xiao Y, Cao Y, Huang L, Zheng M, Meng FK, Huang W, Li CR, Huang M, Zhang YC, Zhang DH, Deng JN, Meng L, Sun HY, Tang Y, Li DJ, Wan Y, Xu L, Zhou JF. [Management of patients with hematological malignancies in outbreak areas of COVID-19 epidemic: our experience at Wuhan Tongji Hospital]. Zhonghua Xue Ye Xue Za Zhi 2020; 41:612-614. [PMID: 32810973 PMCID: PMC7449773 DOI: 10.3760/cma.j.issn.0253-2727.2020.2020.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Y Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Cao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L Huang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M Zheng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - F K Meng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - W Huang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - C R Li
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M Huang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y C Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - D H Zhang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J N Deng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L Meng
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H Y Sun
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Tang
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - D J Li
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Wan
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L Xu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J F Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Chen W, Xie Y, Zheng M, Lin J, Huang P, Pei Z, Yao X. Clinical and genetic features of patients with amyotrophic lateral sclerosis in southern China. Eur J Neurol 2020; 27:1017-1022. [DOI: 10.1111/ene.14213] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Accepted: 03/09/2020] [Indexed: 12/11/2022]
Affiliation(s)
- W. Chen
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
| | - Y. Xie
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
| | - M. Zheng
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
| | - J. Lin
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
| | - P. Huang
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
| | - Z. Pei
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
| | - X. Yao
- Department of Neurology The First Affiliated Hospital Sun Yat‐Sen University Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases National Key Clinical Department and Key Discipline of Neurology No.58 Zhongshan Road 2, Guangzhou 510080 China
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Zheng M, Yousef I, McEldrew J, Zhao H, Mamary A, Rali P, Sehgal S. Incidence and Potentially Modifiable Risk Factors for Venous Thromboemblism Post Lung Transplant. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Liu Y, Wei M, Liu G, Song C, Yang M, Cao Z, Zheng M. Silencing protease-activated receptor 2 alleviates ox-LDL-induced lipid accumulation, inflammation, and apoptosis via activation of Wnt/β-catenin signaling. Gen Physiol Biophys 2020; 39:437-448. [DOI: 10.4149/gpb_2020014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 04/08/2020] [Indexed: 11/08/2022]
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Zheng M, Wang S, Chen X, Mao N, Zhong H, Guo J, Pan X, Dai Y, Chen D, Wang K, Dong X. Expression of PD-L1 in Chinese patients with common cancers. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz269.042] [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: 11/12/2022] Open
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Zheng M, Jun P, Wang S, Li M, Mao N, Liu Y, Cheng T, Lan H, Zhao J, Wang W, Hu J, Yao M, Wang K, Qu Y. P1.14-34 The Landscape of MET Alterations in Chinese Non-Small Cell Lung Cancer Patients. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1185] [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: 11/24/2022]
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Zheng M, Li Y, Jiang B, Tu H, Ye J, Yang J, Zhang X, Chuai S, Sun H, Zhou Q, Zhong W, Wu Y. P2.01-88 Molecular Alterations in Cerebrospinal Fluid Predict Clinical Outcomes of Central Nervous System Metastases in Lung Cancer. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1431] [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: 11/17/2022]
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Zheng M, Jang Y, Choi N, Kim D, Han T, Yeo JH, Lee J, Sung J. Dermal papilla cell culture under hypoxia. Br J Dermatol 2019. [DOI: 10.1111/bjd.18274] [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: 11/30/2022]
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Zheng M, Jang Y, Choi N, Kim D, Han T, Yeo JH, Lee J, Sung J. 低氧环境下的真皮乳头细胞培养. Br J Dermatol 2019. [DOI: 10.1111/bjd.18286] [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: 12/01/2022]
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Pan X, Zheng M, Zou T, Liu W, Gu X, Zhang X, Cheng X. The LEPR K109R and Q223R Might Contribute to the Risk of NAFLD: A Meta-Analysis. Curr Mol Med 2019; 18:91-99. [PMID: 29974828 DOI: 10.2174/1566524018666180705110412] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 12/28/2017] [Revised: 05/29/2018] [Accepted: 07/03/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND Leptin and insulin resistance have been pointed out to play a role in the pathogenesis of nonalcoholic fatty liver disease (NAFLD). Increasing genes were shown to be associated with the risk of NAFLD. OBJECTIVE The study aimed to investigate the genetic association between two leptin receptor (LEPR) polymorphisms (Q223R and K109R) and the NAFLD risk. METHODS Studies were retrieved and included by using PubMed, Web of Science, the Cochrane Library databases, Chinese National Knowledge Infrastructure (CNKI) and EMBASE database. Genetic associations were assessed with pooled odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS Five case-control studies with 1711 NAFLD patients and 1732 healthy controls were included in this meta-analysis. The K109R was significantly associated with NAFLD in allelic model in Southeast Asian subgroup (p=0.01, OR=0.59, 95% CI [0.39- 0.90]), but not in Chinese subgroup (p=0.24, OR=1.10, 95% CI [0.94-1.29]). The Q223R was significantly associated with NAFLD in both allelic and recessive models (allelic model: p<0.001, OR=0.57, 95% CI [0.50-0.65]; recessive model: p=0.001, OR=0.67, 95% CI [0.52-0.85]). However, subgroup analysis showed that the significant association between Q223R and NAFLD in allelic model cannot be found in Southeast Asians subgroup (p=0.07, OR=0.67, 95% CI [0.52-0.85]). CONCLUSION LEPR K109R might be a susceptible factor for NAFLD in Southeast Asian population. And LEPR Q223R might be a susceptible factor for NAFLD in Chinese population.
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Affiliation(s)
- X Pan
- Department of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - M Zheng
- Department of Hepatology, Liver Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Institute of Hepatology, Wenzhou Medical University, Wenzhou 325000, China
| | - T Zou
- Department of Hepatology, Liver Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.,School of the Second Clinical Medical Sciences, Wenzhou Medical University, Wenzhou 325000, China
| | - W Liu
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - X Gu
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - X Zhang
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - X Cheng
- Department of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
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