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Weng J, Bhupathiraju SHV, Samant T, Dresner A, Wu J, Samant SS. Convolutional LSTM model for cine image prediction of abdominal motion. Phys Med Biol 2024; 69:085024. [PMID: 38518378 DOI: 10.1088/1361-6560/ad3722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/22/2024] [Indexed: 03/24/2024]
Abstract
Objective.In this study, we tackle the challenge of latency in magnetic resonance linear accelerator (MR-Linac) systems, which compromises target coverage accuracy in gated real-time radiotherapy. Our focus is on enhancing motion prediction precision in abdominal organs to address this issue. We developed a convolutional long short-term memory (convLSTM) model, utilizing 2D cine magnetic resonance (cine-MR) imaging for this purpose.Approach.Our model, featuring a sequence-to-one architecture with six input frames and one output frame, employs structural similarity index measure (SSIM) as loss function. Data was gathered from 17 cine-MRI datasets using the Philips Ingenia MR-sim system and an Elekta Unity MR-Linac equivalent sequence, focusing on regions of interest (ROIs) like the stomach, liver, pancreas, and kidney. The datasets varied in duration from 1 to 10 min.Main results.The study comprised three main phases: hyperparameter optimization, individual training, and transfer learning with or without fine-tuning. Hyperparameters were initially optimized to construct the most effective model. Then, the model was individually applied to each dataset to predict images four frames ahead (1.24-3.28 s). We evaluated the model's performance using metrics such as SSIM, normalized mean square error, normalized correlation coefficient, and peak signal-to-noise ratio, specifically for ROIs with target motion. The average SSIM values achieved were 0.54, 0.64, 0.77, and 0.66 for the stomach, liver, kidney, and pancreas, respectively. In the transfer learning phase with fine-tuning, the model showed improved SSIM values of 0.69 for the liver and 0.78 for the kidney, compared to 0.64 and 0.37 without fine-tuning.Significance. The study's significant contribution is demonstrating the convLSTM model's ability to accurately predict motion for multiple abdominal organs using a Unity-equivalent MR sequence. This advancement is key in mitigating latency issues in MR-Linac radiotherapy, potentially improving the precision and effectiveness of real-time treatment for abdominal cancers.
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Affiliation(s)
- J Weng
- Department of Radiation Oncology, University of Florida, Gainesville, FL, United States of America
| | - S H V Bhupathiraju
- Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States of America
| | - T Samant
- Tera Insights, Gainesville, FL, United States of America
| | - A Dresner
- Philips Healthcare MR Oncology, Cleveland, OH, United States of America
| | - J Wu
- Department of Radiation Oncology, University of Florida, Gainesville, FL, United States of America
| | - S S Samant
- Department of Radiation Oncology, University of Florida, Gainesville, FL, United States of America
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Huo R, Yang Y, Xu H, Zhao S, Song D, Weng J, Ma R, Sun Y, Wang J, Jiao Y, Zhang J, He Q, Wu R, Wang S, Zhao JZ, Zhang J, Wang J, Cao Y. Somatic GJA4 mutation in intracranial extra-axial cavernous hemangiomas. Stroke Vasc Neurol 2023; 8:453-462. [PMID: 37072338 PMCID: PMC10800255 DOI: 10.1136/svn-2022-002227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/02/2023] [Indexed: 04/20/2023] Open
Abstract
OBJECTIVE Extra-axial cavernous hemangiomas (ECHs) are sporadic and rare intracranial occupational lesions that usually occur within the cavernous sinus. The aetiology of ECHs remains unknown. METHODS Whole-exome sequencing was performed on ECH lesions from 12 patients (discovery cohort) and droplet digital polymerase-chain-reaction (ddPCR) was used to confirm the identified mutation in 46 additional cases (validation cohort). Laser capture microdissection (LCM) was carried out to capture and characterise subgroups of tissue cells. Mechanistic and functional investigations were carried out in human umbilical vein endothelial cells and a newly established mouse model. RESULTS We detected somatic GJA4 mutation (c.121G>T, p.G41C) in 5/12 patients with ECH in the discovery cohort and confirmed the finding in the validation cohort (16/46). LCM followed by ddPCR revealed that the mutation was enriched in lesional endothelium. In vitro experiments in endothelial cells demonstrated that the GJA4 mutation activated SGK-1 signalling that in turn upregulated key genes involved in cell hyperproliferation and the loss of arterial specification. Compared with wild-type littermates, mice overexpressing the GJA4 mutation developed ECH-like pathological morphological characteristics (dilated venous lumen and elevated vascular density) in the retinal superficial vascular plexus at the postnatal 3 weeks, which were reversed by an SGK1 inhibitor, EMD638683. CONCLUSIONS We identified a somatic GJA4 mutation that presents in over one-third of ECH lesions and proposed that ECHs are vascular malformations due to GJA4-induced activation of the SGK1 signalling pathway in brain endothelial cells.
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Affiliation(s)
- Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yingxi Yang
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shaozhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dong Song
- Division of Life Science, Center for Systems Biology and Human Health and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Jiancong Weng
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Ruochen Ma
- Division of Life Science, Center for Systems Biology and Human Health and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yingfan Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ruolei Wu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ji-Zong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Junting Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiguang Wang
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
- Division of Life Science, Center for Systems Biology and Human Health and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, InnoHK, Hong Kong SAR, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
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Weng J, Ryckman J, Katz MS, Saeed H, Estes C, Naqa IE, Moreno AC, Yom SS. Dose Constraints and Planning Considerations for Thoracic Radiation Therapy: Delphi Consensus from a National Survey of Experts. Int J Radiat Oncol Biol Phys 2023; 117:e73. [PMID: 37786123 DOI: 10.1016/j.ijrobp.2023.06.808] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Many physicians refer to trial protocols or published guidelines (NCCN, QUANTEC, HyTEC) for dose-volume histogram (DVH) metrics. However, there may be variation in implementing these metrics during plan optimization. Some studies have suggested better outcomes for patients treated at high-volume, high-expertise centers. These differences may in part be due to greater standardization or center-specific treatment planning processes. We surveyed radiation oncologists with stated thoracic-specific expertise using the Delphi method to formulate consensus DVH metrics that would be considered ideal for high-quality radiation treatment plans. MATERIALS/METHODS Thoracic radiation oncology experts were identified using departmental websites of ACGME-accredited radiation oncology programs. After confirming their expertise, panelists were invited to submit their institutional templates and complete three rounds of questions related to normal organ dose constraints, target coverage metrics, prescribing practices, and other planning considerations. Queried radiation schemes included conventional fractionation, twice-daily fractionation, and stereotactic body radiation therapy (3 and 5 fractions). Preliminary consensus statements were generated using median values for DVH metrics and were iteratively refined in subsequent surveys. Consensus was pre-defined as ≥75% agreement among panelists. RESULTS A total of 194 experts were invited, and 100 agreed to participate. The panel was 28% female and included experts from 29 states with a median of 11 years of clinical experience (IQR 6-19). 89% specialized in 1-2 disease sites. Response rates for the Demographics, round 1, 2, and 3 surveys were 83%, 78%, 57%, and 55%, respectively. 93% of panelists believed that DVH metrics should provide thresholds for both optimal and acceptable criteria for treatment planning. 49 of the 96 proposed normal tissue dose constraint statements were iterated to consensus (Table 1), and 5 of 7 proposed target coverage metric statements achieved consensus. CONCLUSION This study highlights the heterogeneity in metrics used by thoracic radiation oncologists and provides levels of consensus on ideal and acceptable dose constraints as guidance for treatment planning. Future directions include using these statements to develop prescription templates and acceptance criteria for treatment planning systems for widespread use as well as extending this Delphi approach to additional disease sites.
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Affiliation(s)
- J Weng
- MD Anderson Cancer Center, Houston, TX
| | - J Ryckman
- Department of Radiation Oncology, West Virginia University Medicine, Camden Clark Medical Center, Parkersburg, WV
| | - M S Katz
- Radiation Oncology Associates, Lowell, MA
| | - H Saeed
- Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida, Boca Raton, FL
| | - C Estes
- University of Kansas Medical Center, Kansas City, KS, United States
| | - I El Naqa
- H. Lee Moffitt Cancer Center and Research Institute, Department of Machine Learning, Tampa, FL
| | - A C Moreno
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S S Yom
- UCSF Medical Center-Mount Zion, San Francisco, CA
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Xu H, Huo R, Li H, Jiao Y, Weng J, Wang J, Yan Z, Zhang J, Zhao S, He Q, Sun Y, Wang S, Cao Y. KRAS mutation-induced EndMT of brain arteriovenous malformation is mediated through the TGF-β/BMP-SMAD4 pathway. Stroke Vasc Neurol 2023; 8:197-206. [PMID: 36418055 PMCID: PMC10359780 DOI: 10.1136/svn-2022-001700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 10/25/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE Somatic KRAS mutations have been identified in the majority of brain arteriovenous malformations (bAVMs), and subsequent in vivo experiments have confirmed that KRAS mutation in endothelial cells (ECs) causes AVMs in mouse and zebrafish models. Our previous study demonstrated that the KRASG12D mutant independently induced the endothelial-mesenchymal transition (EndMT), which was reversed by treatment with the lipid-lowering drug lovastatin. However, the underlying mechanisms of action were unclear. METHODS We used human umbilical vein ECs (HUVECs) overexpressing the KRASG12D mutant for Western blotting, quantitative real-time PCR, and immunofluorescence and wound healing assays to evaluate the EndMT and determine the activation of downstream pathways. Knockdown of SMAD4 by RNA interference was performed to explore the role of SMAD4 in regulating the EndMT. BAVM ECs expressing the KRASG12D mutant were obtained to verify the SMAD4 function. Finally, we performed a coimmunoprecipitation assay to probe the mechanism by which lovastatin affects SMAD4. RESULTS HUVECs infected with KRASG12D adenovirus underwent the EndMT. Transforming growth factor beta (TGF-β) and bone morphogenetic protein (BMP) signalling pathways were activated in the KRASG12D-mutant HUVECs and ECs in bAVM tissue. Knocking down SMAD4 expression in both KRASG12D-mutant HUVECs and ECs in bAVM tissues inhibited the EndMT. Lovastatin attenuated the EndMT by downregulating p-SMAD2/3, p-SMAD1/5 and acetylated SMAD4 expression in KRASG12D-mutant HUVECs. CONCLUSIONS Our findings suggest that the KRASG12D mutant induces the EndMT by activating the ERK-TGF-β/BMP-SMAD4 signalling pathway and that lovastatin inhibits the EndMT by suppressing TGF-β/BMP pathway activation and SMAD4 acetylation.
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Affiliation(s)
- Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zihan Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shaozhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yingfan Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital medical university, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
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Huo R, Yang Y, Sun Y, Zhou Q, Zhao S, Mo Z, Xu H, Wang J, Weng J, Jiao Y, Zhang J, He Q, Wang S, Zhao J, Wang J, Cao Y. Endothelial hyperactivation of mutant MAP3K3 induces cerebral cavernous malformation enhanced by PIK3CA GOF mutation. Angiogenesis 2023; 26:295-312. [PMID: 36719480 DOI: 10.1007/s10456-023-09866-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 01/18/2023] [Indexed: 02/01/2023]
Abstract
Cerebral cavernous malformations (CCMs) refer to a common vascular abnormality that affects up to 0.5% of the population. A somatic gain-of-function mutation in MAP3K3 (p.I441M) was recently reported in sporadic CCMs, frequently accompanied by somatic activating PIK3CA mutations in diseased endothelium. However, the molecular mechanisms of these driver genes remain elusive. In this study, we performed whole-exome sequencing and droplet digital polymerase chain reaction to analyze CCM lesions and the matched blood from sporadic patients. 44 of 94 cases harbored mutations in KRIT1/CCM2 or MAP3K3, of which 75% were accompanied by PIK3CA mutations (P = 0.006). AAV-BR1-mediated brain endothelial-specific MAP3K3I441M overexpression induced CCM-like lesions throughout the brain and spinal cord in adolescent mice. Interestingly, over half of lesions disappeared at adulthood. Single-cell RNA sequencing found significant enrichment of the apoptosis pathway in a subset of brain endothelial cells in MAP3K3I441M mice compared to controls. We then demonstrated that MAP3K3I441M overexpression activated p38 signaling that is associated with the apoptosis of endothelial cells in vitro and in vivo. In contrast, the mice simultaneously overexpressing PIK3CA and MAP3K3 mutations had an increased number of CCM-like lesions and maintained these lesions for a longer time compared to those with only MAP3K3I441M. Further in vitro and in vivo experiments showed that activating PI3K signaling increased proliferation and alleviated apoptosis of endothelial cells. By using AAV-BR1, we found that MAP3K3I441M mutation can provoke CCM-like lesions in mice and the activation of PI3K signaling significantly enhances and maintains these lesions, providing a preclinical model for the further mechanistic and therapeutic study of CCMs.
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Affiliation(s)
- Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yingxi Yang
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yingfan Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiuxia Zhou
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Shaozhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zongchao Mo
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiguang Wang
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China.
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China.
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong SAR, China.
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119S Fourth Ring Rd W, Fengtai District, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
- Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China.
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He Q, Huo R, Wang J, Xu H, Zhao S, Zhang J, Sun Y, Jiao Y, Weng J, Zhao J, Cao Y. Exosomal miR-3131 derived from endothelial cells with KRAS mutation promotes EndMT by targeting PICK1 in brain arteriovenous malformations. CNS Neurosci Ther 2023; 29:1312-1324. [PMID: 36718590 PMCID: PMC10068464 DOI: 10.1111/cns.14103] [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: 08/25/2022] [Revised: 01/04/2023] [Accepted: 01/13/2023] [Indexed: 02/01/2023] Open
Abstract
AIMS To explore the underlying mechanism by which low-frequency KRAS mutations result in extensive EndMT occurrence. METHODS Exosomes derived from primarily cultured brain arteriovenous malformation (bAVMs) and human umbilical vein endothelial cells (HUVECs) transfected with KRASG12D , KRASWT , or KRASNC lentiviruses were isolated, and their effects on HUVECs were identified by western blotting and immunofluorescence staining. The expression levels of exosomal microRNAs (miRNAs) were evaluated by miRNA microarray, followed by functional experiments on miR-3131 and detection of its downstream target, and miR-3131 inhibitor in reversing the EndMT process induced by KRASG12D -transfected HUVECs and bAVM endothelial cells (ECs) were explored. RESULTS Exosomes derived from KRASG12D bAVM ECs and KRASG12D -transfected HUVECs promoted EndMT in HUVECs. MiR-3131 levels were highest in the exosomes of KRASG12D -transfected HUVECs, and HUVECs transfected with the miR-3131 mimic acquired mesenchymal phenotypes. RNA-seq and dual-luciferase reporter assays revealed that PICK1 is the direct downstream target of miR-3131. Exosomal miR-3131 was highly expressed in KRASG12D bAVMexos compared with non-KRAS-mutant bAVMexos or HUVECexos . Finally, a miR-3131 inhibitor reversed EndMT in HUVECs treated with exosomes or the supernatant of KRASG12D -transfected HUVECs and KRASG12D bAVM ECs. CONCLUSION Exosomal miR-3131 promotes EndMT in KRAS-mutant bAVMs, and miR-3131 might be a potential biomarker and therapeutic target in KRASG12D -mutant bAVMs.
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Affiliation(s)
- Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shaozhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yingfan Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Institute of Brain Disorders, Beijing, China
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7
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Jiao Y, Zhang J, Yang X, Zhan T, Wu Z, Li Y, Zhao S, Li H, Weng J, Huo R, Wang J, Xu H, Sun Y, Wang S, Cao Y. Artificial Intelligence-Assisted Evaluation of the Spatial Relationship between Brain Arteriovenous Malformations and the Corticospinal Tract to Predict Postsurgical Motor Defects. AJNR Am J Neuroradiol 2023; 44:17-25. [PMID: 36549849 PMCID: PMC9835926 DOI: 10.3174/ajnr.a7735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Preoperative evaluation of brain AVMs is crucial for the selection of surgical candidates. Our goal was to use artificial intelligence to predict postsurgical motor defects in patients with brain AVMs involving motor-related areas. MATERIALS AND METHODS Eighty-three patients who underwent microsurgical resection of brain AVMs involving motor-related areas were retrospectively reviewed. Four artificial intelligence-based indicators were calculated with artificial intelligence on TOF-MRA and DTI, including FN5mm/50mm (the proportion of fiber numbers within 5-50mm from the lesion border), FN10mm/50mm (the same but within 10-50mm), FP5mm/50mm (the proportion of fiber voxel points within 5-50mm from the lesion border), and FP10mm/50mm (the same but within 10-50mm). The association between the variables and long-term postsurgical motor defects was analyzed using univariate and multivariate analyses. Least absolute shrinkage and selection operator regression with the Pearson correlation coefficient was used to select the optimal features to develop the machine learning model to predict postsurgical motor defects. The area under the curve was calculated to evaluate the predictive performance. RESULTS In patients with and without postsurgical motor defects, the mean FN5mm/50mm, FN10mm/50mm, FP5mm/50mm, and FP10mm/50mm were 0.24 (SD, 0.24) and 0.03 (SD, 0.06), 0.37 (SD, 0.27) and 0.06 (SD, 0.08), 0.06 (SD, 0.10) and 0.01 (SD, 0.02), and 0.10 (SD, 0.12) and 0.02 (SD, 0.05), respectively. Univariate and multivariate logistic analyses identified FN10mm/50mm as an independent risk factor for long-term postsurgical motor defects (P = .002). FN10mm/50mm achieved a mean area under the curve of 0.86 (SD, 0.08). The mean area under the curve of the machine learning model consisting of FN10mm/50mm, diffuseness, and the Spetzler-Martin score was 0.88 (SD, 0.07). CONCLUSIONS The artificial intelligence-based indicator, FN10mm/50mm, can reflect the lesion-fiber spatial relationship and act as a dominant predictor for postsurgical motor defects in patients with brain AVMs involving motor-related areas.
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Affiliation(s)
- Y Jiao
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - J Zhang
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - X Yang
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - T Zhan
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - Z Wu
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - Y Li
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - S Zhao
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - H Li
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - J Weng
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - R Huo
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - J Wang
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - H Xu
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - Y Sun
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - S Wang
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
| | - Y Cao
- From the Department of Neurosurgery (Y.J., J.Z., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases (Y.J., J.Z., X.Y., T.Z., Z.W., Y.L., S.Z., H.L., J. Weng, R.H., J. Wang, H.X., Y.S., S.W., Y.C.), Beijing, China
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8
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Weng J, Dabaja B, Das P, Gunn G, Chronowski G, Bloom E, Lee P, Koong A, Ning M, Semien K, Sanders C, Ritchey R, Nguyen K, Hoffman K, Robinson I, Kerr A, Brokaw J, Liao Z, Nguyen Q. Radiation Therapy Decision Making Process and Operations for COVID-19 Positive Patients. Int J Radiat Oncol Biol Phys 2022. [PMCID: PMC9595469 DOI: 10.1016/j.ijrobp.2022.07.1722] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Purpose/Objective(s) A challenging clinical dilemma during the COVID-19 pandemic is management of cancer patients who test positive for COVID. Given the need to balance the risk of disease progression with the risk of transmission to other patients and staff, radiation therapy for these patients requires careful consideration and modification of standard workflows. It is also critical to develop processes to mitigate radiation treatment interruption, which can affect patient outcomes. The objective of this study was to report the clinical operations and outcomes for COVID positive patients receiving radiation therapy during the pandemic at a tertiary cancer center including 2 network locations. Materials/Methods During March 2020 to March 2022, the Radiation Oncology COVID committee (RO COVID) developed an integrated process to triage patients, provide treatment recommendations, and implement infection control procedures to safely deliver radiation therapy to COVID positive patients. Policies were created for each center with multidisciplinary input from infectious disease, radiation oncology, radiation therapy, and nursing. All COVID positive patients were presented to the RO COVID group and evaluated for clinical urgency, benefit with radiation, and life expectancy. If deemed necessary, a limited planned break or hypofractionated regimen was recommended to minimize staff exposure. We conducted a retrospective review of COVID positive patients with different primary malignancies treated through the COVID positive pathway. Results A total of 68 COVID positive patients were treated with the COVID positive pathway (HN 15, Breast 9, CNS 8, GU 8, GYN, 7, Thoracic 6, GI 5, HEME 5, PED 3, SARC 2). The median age was 57.1 years (IQR 45.8-63.4) and 47% were female. There were 39 patients (57%) who were asymptomatic and were tested for routine pre-radiation screening or due to concerns of COVID exposure. Twenty-three (34%) patients were treated with palliative intent and 8 (12%) were treated for an emergent indication (i.e., spinal cord compression, bleeding). Thirteen (19%) patients were receiving radiation treatment, had a treatment break (7-21 days), and then resumed their radiation course. All treatments were successfully completed without known nosocomial spread of COVID to staff or other patients. Among this heterogenous group of patients, 58 (85%) were alive with a median follow up of 2 months (IQR 0.5-7.5). COVID infection may have contributed to 3 out of 10 deaths (4% of total cohort). The remaining deaths were due to progression of disease or other non-COVID causes. Conclusion In this study, COVID positive patients were safely treated with radiation therapy through a comprehensive decision making and clinical operations pathway taking into account evolving COVID guidelines for three different variant surges. Although limited in follow up, patient outcomes are promising with few COVID-related deaths and low overall mortality rates, even with hypofractionated regimens.
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Affiliation(s)
- J. Weng
- MD Anderson Cancer Center, Houston, TX,Corresponding author:
| | - B. Dabaja
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P. Das
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - G.B. Gunn
- MD Anderson Cancer Center, Houston, TX
| | - G.M. Chronowski
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - P. Lee
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - A.C. Koong
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - M.S. Ning
- MD Anderson Cancer Center, Houston, TX
| | - K. Semien
- MD Anderson Cancer Center, Houston, TX
| | | | | | - K. Nguyen
- MD Anderson Cancer Center, Houston, TX
| | - K.E. Hoffman
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - I. Robinson
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - A. Kerr
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - J. Brokaw
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Z. Liao
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Q.N. Nguyen
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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9
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Andring L, Kelsey C, Weng J, Manzar G, Bailard N, Fellman B, Domingo M, Varkey J, Foster-Mills T, Kazantsev T, Lin L, Jhingran A, Colbert L, Eifel P, Klopp A, Joyner M. Baseline Characteristics of Patients Undergoing Brachytherapy for Gynecologic Cancer (GYN-BT) and the Role for an Enhanced Recovery Pathway (ERP). Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1678] [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: 10/31/2022]
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10
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Nakayama T, Oishi M, Weng J, Omori K, Kwon C, Nakazawa T, Nishibata T, Kinugasa F, Yoshida T, Nagasaka Y. 42P Antitumor activity of zolbetuximab combined with chemotherapy and anti-mouse PD-1 antibody (anti-mPD-1) in a syngeneic mouse model and a virtual preclinical trial using a quantitative systems pharmacology (QSP) model. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.069] [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: 11/01/2022] Open
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11
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Wu L, Wu Z, Xiao Z, Ma Z, Weng J, Chen Y, Cao Y, Cao P, Xiao M, Zhang H, Duan H, Wang Q, Li J, Xu Y, Pu X, Li K. EP08.02-158 Final Analyses of ALTER-L018: A Randomized Phase II Trial of Anlotinib Plus Docetaxel vs Docetaxel as 2nd-line Therapy for EGFR-negative NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.841] [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: 10/14/2022]
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12
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Wu X, Liu Z, Xu M, Xu S, Weng J. Rutaecarpine, a bioactive constituent isolated from tetradium ruticarpum, prevents endothelial inflammation. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.255] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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13
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Xu M, Wu X, Liu Z, Xu S, Weng J. A novel compound mouse model of diabetes, atherosclerosis and fatty liver using AAV8-PCSK9 injection in DB/DB mice. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.387] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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14
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Li H, Yan Z, Huo R, Ya X, Xu H, Liu Z, Jiao Y, Weng J, Wang J, Wang S, Cao Y. RNA sequencing analysis between ruptured and un-ruptured brain AVM. Chin Neurosurg J 2022; 8:13. [PMID: 35655323 PMCID: PMC9161579 DOI: 10.1186/s41016-022-00282-4] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 05/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A brain arteriovenous malformation (BAVM) is a tangle of abnormal blood vessels connecting the arteries and veins in the brain and is associated with a higher risk for intracerebral hemorrhage (ICH). RNA sequencing technology has been recently used to investigate the mechanism of diseases owing to its ability to identify the gene changes on a transcriptome-wide level. This study aims to gain insights into the potential mechanism involved in BAVM rupture. METHODS Sixty-five BAVM nidus samples were collected, among which 28 were ruptured and 37 were un-ruptured. Then, next-generation RNA sequencing was performed on all of them to obtain differential expressed genes (DEGs) between the two groups. In addition, bioinformatics analysis was performed to evaluate the involved biological processes and pathways by GO and KEGG analysis. Finally, we performed a univariate Cox regression analysis to obtain the early rupture-prone DEGs. RESULTS A total of 951 genes were differentially expressed between the ruptured and un-ruptured BAVM groups, of which 740 genes were upregulated and 211 genes were downregulated in ruptured BAVMs. Then, bioinformatics analysis showed the biological processes and pathways related to the inflammatory processes and extracellular matrix organization were significantly enriched. Meanwhile, some downregulated genes are involved in cell adhesion and genes participating in response to muscle activity and the terms of nervous system development. Finally, one hundred twenty-five genes, many were involved in inflammation, were correlated with the early rupture of BAVMs. CONCLUSIONS The upregulated genes in the ruptured BAVM group were involved in inflammatory processes and extracellular matrix organization. Some of the downregulated genes participated in cell adhesion and myofibril assembly, indicating the role of enhanced inflammation and reduced inflammation vessel strength in BAVMs rupture.
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Affiliation(s)
- Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zihan Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaolong Ya
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zechen Liu
- Department of Biostatistics, Harvard School of Public Health, Boston, USA
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China. .,China National Clinical Research Center for Neurological Diseases, Beijing, China. .,Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
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15
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Jiao Y, Zhao S, Li H, Wu J, Weng J, Huo R, Wang J, Wang S, Cao Y, Zhao JZ. Grading scale based on arcuate fasciculus segmentation to predict postoperative language outcomes of brain arteriovenous malformations. Stroke Vasc Neurol 2022; 7:svn-2021-001330. [PMID: 35589330 PMCID: PMC9614134 DOI: 10.1136/svn-2021-001330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 04/05/2022] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE The long-term postoperative language outcomes for brain arteriovenous malformations (bAVMs) have not been well characterised. With fibres scattered in the Broca's, Wernicke's and Geschwind's area, the arcuate fasciculus (AF) is considered as a crucial structure of language function. This study aimed to observe the language outcomes, determine the risk factors and construct a grading system for long-term postoperative language deficits (LDs) in patients with bAVMs involving the AF (AF-bAVMs). METHODS We retrospectively reviewed 135 patients with AF-bAVMs. Based on the course of the AF and our clinical experience, three boundary lines were drawn to divide the AF into segments I, II, III and IV in spatial order from the frontal lobe to the temporal lobe. Surgery-related LD evaluations were performed 1 week (short term) and at the last follow-up (long term) after surgery. Finally, based on multivariable logistic regression analysis, a grading system was constructed to predict long-term postoperative LD. The predictive accuracy was assessed using the area under the receiver operating characteristic curve (AUC). RESULTS Sixty-two (45.9%) patients experienced short-term postoperative LD. After a mean follow-up of 50.2±24.9 months, long-term LD was found in 14 (10.4%) patients. Nidus size (p=0.007), LD history (p=0.009) and segment II involvement (p=0.030) were independent risk factors for short-term LD. Furthermore, segment II involvement (p=0.002), anterior choroidal artery (AChA) feeding (p=0.001), patient age (p=0.023) and LD history (p=0.001) were independent risk factors for long-term LD. A grading system was developed by combining the risk factors for long-term LD; its predictive accuracy was 0.921. CONCLUSIONS The involvement of the trunk of the AF between Broca's area and the inferior parietal lobule, a nidus supplied by the AChA, older patient age and history of LD were associated with long-term postoperative LD. The grading system combining these factors demonstrated favourable predictive accuracy for long-term language outcomes.
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Affiliation(s)
- Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Shaozhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Jun Wu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
| | - Ji Zong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China
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16
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Zhao S, Zhao Q, Jiao Y, Li H, Weng J, Huo R, Wang J, Xu H, Zhang J, Li Y, Wu Z, Wang S, Cao Y, Zhao J. Radiomics Analysis for Predicting Epilepsy in Patients With Unruptured Brain Arteriovenous Malformations. Front Neurol 2021; 12:767165. [PMID: 34975726 PMCID: PMC8714660 DOI: 10.3389/fneur.2021.767165] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: To investigate the association between radiomics features and epilepsy in patients with unruptured brain arteriovenous malformations (bAVMs) and to develop a prediction model based on radiomics features and clinical characteristics for bAVM-related epilepsy.Methods: This retrospective study enrolled 176 patients with unruptured bAVMs. After manual lesion segmentation, a total of 858 radiomics features were extracted from time-of-flight magnetic resonance angiography (TOF-MRA). A radiomics model was constructed, and a radiomics score was calculated. Meanwhile, the demographic and angioarchitectural characteristics of patients were assessed to build a clinical model. Incorporating the radiomics score and independent clinical risk factors, a combined model was constructed. The performance of the models was assessed with respect to discrimination, calibration, and clinical usefulness.Results: The clinical model incorporating 3 clinical features had an area under the curve (AUC) of 0.71. Fifteen radiomics features were used to build the radiomics model, which had a higher AUC of 0.78. Incorporating the radiomics score and clinical risk factors, the combined model showed a favorable discrimination ability and calibration, with an AUC of 0.82. Decision curve analysis (DCA) demonstrated that the combined model outperformed the clinical model and radiomics model in terms of clinical usefulness.Conclusions: The radiomics features extracted from TOF-MRA were associated with epilepsy in patients with unruptured bAVMs. The radiomics-clinical nomogram, which was constructed based on the model incorporating the radiomics score and clinical features, showed favorable predictive efficacy for bAVM-related epilepsy.
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Affiliation(s)
- Shaozhi Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qi Zhao
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yan Li
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zhenzhou Wu
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- *Correspondence: Yong Cao
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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17
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Li H, Nam Y, Huo R, Fu W, Jiang B, Zhou Q, Song D, Yang Y, Jiao Y, Weng J, Yan Z, Di L, Li J, Wang J, Xu H, Wang S, Zhao J, Wen Z, Wang J, Cao Y. De Novo Germline and Somatic Variants Convergently Promote Endothelial-to-Mesenchymal Transition in Simplex Brain Arteriovenous Malformation. Circ Res 2021; 129:825-839. [PMID: 34530633 DOI: 10.1161/circresaha.121.319004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Hao Li
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Yoonhee Nam
- Division of Life Science, State Key Laboratory of Molecular Neuroscience (Y.N., Q.Z., D.S., Z.W., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Ran Huo
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Weilun Fu
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Biaobin Jiang
- Chemical and Biological Engineering (B.J., Y.Y., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China.,the Hong Kong University of Science and Technology (B.J.,Y.Y.), Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Qiuxia Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience (Y.N., Q.Z., D.S., Z.W., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Dong Song
- Division of Life Science, State Key Laboratory of Molecular Neuroscience (Y.N., Q.Z., D.S., Z.W., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yingxi Yang
- Chemical and Biological Engineering (B.J., Y.Y., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China.,the Hong Kong University of Science and Technology (B.J.,Y.Y.), Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yuming Jiao
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Jiancong Weng
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Zihan Yan
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Lin Di
- Beijing Advanced Innovation Center for Genomics, Biomedical Pioneering Innovation Center, Peking-Tsinghua Center for Life Sciences (L.D.), Peking University, Beijing, China.,School of Life Sciences (L.D.), Peking University, Beijing, China
| | - Jie Li
- School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China (J.L.)
| | - Jie Wang
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Hongyuan Xu
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Shuo Wang
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Jizong Zhao
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
| | - Zilong Wen
- Division of Life Science, State Key Laboratory of Molecular Neuroscience (Y.N., Q.Z., D.S., Z.W., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China.,Greater Bay Biomedical Innocenter, Shenzhen Bay Laboratory, Shenzhen, China (Z.W.)
| | - Jiguang Wang
- Division of Life Science, State Key Laboratory of Molecular Neuroscience (Y.N., Q.Z., D.S., Z.W., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China.,Chemical and Biological Engineering (B.J., Y.Y., Jiguang Wang), Clear Water Bay, Kowloon, Hong Kong SAR, China.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong SAR, China (Jiguang Wang)
| | - Yong Cao
- Neurosurgery, Beijing Tiantan Hospital (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.), Capital Medical University, China.,Beijing Neurosurgical Institute (Y.C.), Capital Medical University, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China (H.L., R.H., W.F., Y.J., Jiancong Weng, Z.Y., Jie Wang, H.X., S.W., J.Z., Y.C.)
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18
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Wu L, Wu Z, Xiao Z, Ma Z, Weng J, Chen Y, Cao Y, Cao P, Xiao M, Zhang H, Duan H, Wang Q, Li J, Xu Y, Pu X, Li K. P48.01 Anlotinib Plus Docetaxel vs Docetaxel for 2nd-Line Treatment of EGFR negative NSCLC (ALTER-L018): A Randomized Phase II Trial. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.512] [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: 11/29/2022]
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19
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Nishibata T, Weng J, Omori K, Sato Y, Nakazawa T, Suzuki T, Yamada T, Nakajo I, Kinugasa F, Yoshida T. 986P Antitumor effect of zolbetuximab combined with chemotherapeutic agents or an anti-mPD-1 antibody in syngeneic immune-competent mice. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1370] [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] Open
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20
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Yan Z, Fan G, Li H, Jiao Y, Fu W, Weng J, Huo R, Wang J, Xu H, Wang S, Cao Y, Zhao J. The CTSC-RAB38 Fusion Transcript Is Associated With the Risk of Hemorrhage in Brain Arteriovenous Malformations. J Neuropathol Exp Neurol 2021; 80:71-78. [PMID: 33120410 DOI: 10.1093/jnen/nlaa126] [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] [Indexed: 11/12/2022] Open
Abstract
Brain arteriovenous malformations (bAVMs) are congenital anomalies of blood vessels that cause intracranial hemorrhage in children and young adults. Chromosomal rearrangements and fusion genes play an important role in tumor pathogenesis, though the role of fusion genes in bAVM pathophysiological processes is unclear. The aim of this study was to identify fusion transcripts in bAVMs and analyze their effects. To identify fusion transcripts associated with bAVM, RNA sequencing was performed on 73 samples, including 66 bAVM and 7 normal cerebrovascular samples, followed by STAR-Fusion analysis. Reverse transcription polymerase chain reaction and Sanger sequencing were applied to verify fusion transcripts. Functional pathway analysis was performed to identify potential effects of different fusion types. A total of 21 fusion transcripts were detected. Cathepsin C (CTSC)-Ras-Related Protein Rab-38 (RAB38) was the most common fusion and was detected in 10 of 66 (15%) bAVM samples. In CTSC-RAB38 fusion-positive samples, CTSC and RAB38 expression was significantly increased and activated immune/inflammatory signaling. Clinically, CTSC-RAB38 fusion bAVM cases had a higher hemorrhage rate than non-CTSC-RAB38 bAVM cases (p < 0.05). Our study identified recurrent CTSC-RAB38 fusion transcripts in bAVMs, which may be associated with bAVM hemorrhage by promoting immune/inflammatory signaling.
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Affiliation(s)
- Zihan Yan
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Guangming Fan
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease.,Chaoyang Central Hospital, Liaoning Province, China
| | - Hao Li
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Yuming Jiao
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Weilun Fu
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Jiancong Weng
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Ran Huo
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Jie Wang
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Hongyuan Xu
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Shuo Wang
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Yong Cao
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease
| | - Jizong Zhao
- From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University.,China National Clinical Research Center for Neurological Diseases.,Center of Stroke, Beijing Institute for Brain Disorders.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease.,Savaid Medical School, University of the Chinese Academy of Sciences, Beijing, China
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21
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Yang X, Wang Y, Wang W, Hu X, Zhou M, Weng J, Zhang L, Lu P, Lai Z, Wang S, Feng Q, Lu L. Tongxin formula protects H9c2 cardiomyocytes from cobalt chloride-induced hypoxic injury via inhibition of apoptosis. J Physiol Pharmacol 2021; 72. [PMID: 34810288 DOI: 10.26402/jpp.2021.3.05] [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] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/30/2021] [Indexed: 06/13/2023]
Abstract
In this study, the effect of the Tongxin formula (TXF) on the apoptosis of H9c2 cardiomyocytes induced by cobalt chloride (CoCl2) was investigated, and the potential mechanism was explored. A hypoxic injury model of H9c2 cardiomyocytes was established using CoCl2. The cell viability was measured using a Cell Counting Kit-8 assay. The lactate dehydrogenase (LDH) release and caspase-3 activity were measured using spectrophotometry. The apoptosis was measured via Annexin V-FITC/PI staining and flow cytometry. The changes in the mitochondrial membrane potential were examined using immunofluorescence microscopy following the loading of JC-1 probes. The expressions of apoptosis-related proteins and key proteins in the phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) pathway were examined via immunoblotting. The different TXF concentrations studied significantly improved the percentage of viability of cardiomyocytes with hypoxic injury, and the LDH release, apoptotic rate, caspase-3 activity, and levels of cleaved caspase-3 protein were reduced in the injured cells. Additionally, the TXF group had increased mitochondrial membrane potential, upregulated expression of Bcl-2 and p-Akt proteins, and significantly reduced expression of cleaved caspase-3 protein in the cells with hypoxic injury. Moreover, in the TXF group, the treatment significantly reduced the BAX protein expression, but the difference was not statistically significant compared with the CoCl2 group. In this study, TXF regulated the expression of apoptosis-related proteins, inhibited apoptosis, increased the mitochondrial membrane potential, and alleviated damage to the mitochondrial membrane, thereby protecting the cardiomyocytes from hypoxic injury. The underlying mechanism could be related to activation of the PI3K/Akt signaling pathway and upregulation of the Bcl-2 protein.
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Affiliation(s)
- X Yang
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Y Wang
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - W Wang
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - X Hu
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - M Zhou
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - J Weng
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - L Zhang
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - P Lu
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Z Lai
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - S Wang
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Q Feng
- Department of Cardiology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
| | - L Lu
- Department of Neonatology, International Peace Maternity and Child Health Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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22
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Weng J, Yang Y, Song D, Huo R, Li H, Chen Y, Nam Y, Zhou Q, Jiao Y, Fu W, Yan Z, Wang J, Xu H, Di L, Li J, Wang S, Zhao J, Wang J, Cao Y. Somatic MAP3K3 mutation defines a subclass of cerebral cavernous malformation. Am J Hum Genet 2021; 108:942-950. [PMID: 33891857 PMCID: PMC8206158 DOI: 10.1016/j.ajhg.2021.04.005] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/30/2021] [Indexed: 12/22/2022] Open
Abstract
Cerebral cavernous malformations (CCMs) are vascular disorders that affect up to 0.5% of the total population. About 20% of CCMs are inherited because of familial mutations in CCM genes, including CCM1/KRIT1, CCM2/MGC4607, and CCM3/PDCD10, whereas the etiology of a majority of simplex CCM-affected individuals remains unclear. Here, we report somatic mutations of MAP3K3, PIK3CA, MAP2K7, and CCM genes in CCM lesions. In particular, somatic hotspot mutations of PIK3CA are found in 11 of 38 individuals with CCMs, and a MAP3K3 somatic mutation (c.1323C>G [p.Ile441Met]) is detected in 37.0% (34 of 92) of the simplex CCM-affected individuals. Strikingly, the MAP3K3 c.1323C>G mutation presents in 95.7% (22 of 23) of the popcorn-like lesions but only 2.5% (1 of 40) of the subacute-bleeding or multifocal lesions that are predominantly attributed to mutations in the CCM1/2/3 signaling complex. Leveraging mini-bulk sequencing, we demonstrate the enrichment of MAP3K3 c.1323C>G mutation in CCM endothelium. Mechanistically, beyond the activation of CCM1/2/3-inhibited ERK5 signaling, MEKK3 p.Ile441Met (MAP3K3 encodes MEKK3) also activates ERK1/2, JNK, and p38 pathways because of mutation-induced MEKK3 kinase activity enhancement. Collectively, we identified several somatic activating mutations in CCM endothelium, and the MAP3K3 c.1323C>G mutation defines a primary CCM subtype with distinct characteristics in signaling activation and magnetic resonance imaging appearance.
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23
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Wang J, Weng J, Li H, Jiao Y, Fu W, Huo R, Yan Z, Xu H, Zhan J, Wang S, Du X, Cao Y, Zhao J. Atorvastatin and growth, rupture of small unruptured intracranial aneurysm: results of a prospective cohort study. Ther Adv Neurol Disord 2021; 14:1756286420987939. [PMID: 33953800 PMCID: PMC8042545 DOI: 10.1177/1756286420987939] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 12/23/2020] [Indexed: 12/02/2022] Open
Abstract
Background and aims: The role of statins in unruptured intracranial aneurysm (UIA) growth and rupture remains ambiguous. This study sought to determine whether atorvastatin is associated with aneurysm growth and rupture in patients harboring UIA <7 mm. Methods: This prospective, multicenter cohort study consecutively enrolled patients with concurrent UIA <7 mm and ischemic cerebrovascular disease from four hospitals between 2016 and 2019. Baseline and follow-up patient information was recorded. Because of the strong anti-inflammatory effect of aspirin, patients using aspirin were excluded. Patients taking atorvastatin 20 mg daily were atorvastatin users. The primary and exploratory endpoints were aneurysm rupture and growth, respectively. Results: Among the 1087 enrolled patients, 489 (45.0%) took atorvastatin, and 598 (55%) took no atorvastatin. After a mean follow-up duration of 33.0 ± 12.5 months, six (1.2%) and five (0.8%) aneurysms ruptured in atorvastatin and non-atorvastatin groups, respectively. In the adjusted multivariate Cox analysis, UIA sized 5 to <7 mm, current smoker, and uncontrolled hypertension were associated with aneurysm rupture, whereas atorvastatin [adjusted hazard ratio (HR) 1.495, 95% confidence interval (CI) 0.417–5.356, p = 0.537] was not. Of 159 patients who had follow-up imaging, 34 (21.4%) took atorvastatin and 125 (78.6%) took no atorvastatin. Aneurysm growth occurred in five (14.7%) and 21 (16.8%) patients in atorvastatin and non-atorvastatin groups (mean follow-up: 20.2 ± 12.9 months), respectively. In the adjusted multivariate Cox analysis, UIAs sized 5 to <7 mm and uncontrolled hypertension were associated with a high growth rate; atorvastatin (adjusted HR 0.151, 95% CI 0.031–0.729, p = 0.019) was associated with a reduced growth rate. Conclusions: We conclude atorvastatin use is associated with a reduced risk of UIA growth, whereas atorvastatin is not associated with UIA rupture.
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Affiliation(s)
- Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Weilun Fu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Zihan Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jiong Zhan
- Neuroscience Imaging Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xin Du
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No.2 Beijing Anzhen Road Chaoyang, District, Beijing 100029, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring Road West, Fengtai District, Beijing, 100071, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
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24
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Huang W, Li P, Xu H, Xu K, Weng J, Zhang Y, Liu J. P76.92 TKI and Intrathoracic Perfusion in First-line Stage IV Lung Adenocarcinoma with EGFR Mutation and Malignant Pleural Effusion. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1149] [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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25
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Jiao Y, Li H, Fu W, Weng J, Huo R, Wang Y, Wang S, Jiang T, Cao Y, Zhao JZ. Classification of brain arteriovenous malformations located in motor-related areas based on location and anterior choroidal artery feeding. Stroke Vasc Neurol 2021; 6:441-448. [PMID: 33593985 PMCID: PMC8485233 DOI: 10.1136/svn-2020-000591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 12/11/2020] [Accepted: 12/30/2020] [Indexed: 11/20/2022] Open
Abstract
Objective Surgical management of arteriovenous malformations (AVMs) involving motor cortex or fibre tracts (M-AVMs) is challenging. This study aimed to construct a classification system based on nidus locations and anterior choroidal artery (AChA) feeding to pre-surgically evaluate motor-related and seizure-related outcomes in patients undergoing resection of M-AVMs. Methods and materials A total of 125 patients who underwent microsurgical resection of M-AVMs were retrospectively reviewed. Four subtypes were identified based on nidus location: (I) nidus involving the premotor area and/or supplementary motor areas; (II) nidus involving the precentral gyrus; (III) nidus involving the corticospinal tract (CST) and superior to the posterior limb of the internal capsule; (IV) nidus involving the CST at or inferior to the level of posterior limb of the internal capsule. In addition, we divided type IV into type IVa and type IVb according to the AChA feeding. Surgical-related motor deficit (MD) evaluations were performed 1 week (short-term) and 6 months (long-term) after surgery. Results The type I patients exhibited the highest incidence (62.0%) of pre-surgical epilepsy among the four subtypes. Multivariate analysis showed that motor-related area subtypes (p=0.004) and diffuse nidus (p=0.014) were significantly associated with long-term MDs. Long-term MDs were significantly less frequent in type I than in the other types. Type IV patients acquired the highest proportion (four patients, 25.0%) of long-term poor outcomes (mRS >2). Type IVb patients showed a significantly higher incidence of post-surgical MDs than type IVa patients (p=0.041). The MDs of type III or IV patients required more recovery time. Of the 62 patients who had pre-surgical seizures, 90.3% (56/62) controlled their seizures well and reached Engel class I after surgery. Conclusions Combining the consideration of location and AChA feeding, the classification for M-AVMs is a useful approach for predicting post-surgical motor function and decision-making.
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Affiliation(s)
- Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Weilun Fu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yinyan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Tao Jiang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Ji Zong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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26
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Fu W, Wang W, Li H, Jiao Y, Weng J, Huo R, Yan Z, Wang J, Xu H, Wang S, Wang J, Chen D, Cao Y, Zhao J. CyTOF Analysis Reveals a Distinct Immunosuppressive Microenvironment in IDH Mutant Anaplastic Gliomas. Front Oncol 2021; 10:560211. [PMID: 33614475 PMCID: PMC7890006 DOI: 10.3389/fonc.2020.560211] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 12/07/2020] [Indexed: 11/23/2022] Open
Abstract
The immune microenvironment is important for the development, progression, and prognosis of anaplastic glioma (AG). This complex milieu has not been fully elucidated, and a high-dimensional analysis is urgently required. Utilizing mass cytometry (CyTOF), we performed an analysis of immune cells from 5 patients with anaplastic astrocytoma, IDH-mutant (AAmut) and 10 patients with anaplastic oligodendroglioma, IDH-mutant and 1p/19q codeletion (AOD) and their paired peripheral blood mononuclear cells (PBMCs). Based on a panel of 33 biomarkers, we demonstrated the tumor-driven immune changes in the AG immune microenvironment. Our study confirmed that mononuclear phagocytes and T cells are the most abundant immunocytes in the AG immune microenvironment. Glioma-associated microglia/macrophages in both AAmut and AOD samples showed highly immunosuppressive characteristics. Compared to those in the PBMCs, the ratios of immune checkpoint-positive exhausted CD4+ T cells and CD8+ T cells were higher at the AG tumor sites. The AAmut immune milieu exhibits more immunosuppressive characteristics than that in AOD.
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Affiliation(s)
- Weilun Fu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Wenjing Wang
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China.,Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zihan Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiangfei Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dexi Chen
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China.,Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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27
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Fu W, Huo R, Yan Z, Xu H, Li H, Jiao Y, Wang L, Weng J, Wang J, Wang S, Cao Y, Zhao J. Mesenchymal Behavior of the Endothelium Promoted by SMAD6 Downregulation Is Associated With Brain Arteriovenous Malformation Microhemorrhage. Stroke 2020; 51:2197-2207. [PMID: 32486965 DOI: 10.1161/strokeaha.120.030046] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND PURPOSE In unruptured brain arteriovenous malformations (bAVMs), microhemorrhage portends a higher risk of future rupture and may represent a transitional state along the continuum of destabilization. Exploration of the molecular and cellular mechanisms of microhemorrhage will provide a possible target for medical treatment to prevent bAVM bleeding. METHODS We performed RNA sequencing analysis on 34 unruptured bAVM surgical samples. Functional pathway analysis was performed to identify potential signals associated with the microhemorrhagic phenotype. Candidate gene was then investigated in bAVM specimens by immunohistochemical staining. Several functional assays were used to investigate the effects of candidate genes on the phenotypic properties of cultured human umbilical vein endothelial cells. Then, Masson trichrome staining and immunofluorescence staining were used to evaluate the phenotypic and molecular changes in bAVM tissue. RESULTS Via RNA sequencing, we identified differential gene expression between 18 microhemorrhagic bAVMs and 16 nonmicrohemorrhagic bAVMs. TGFβ (transforming growth factor-beta)/BMP (bone morphogenetic protein) signaling was associated with the bAVM microhemorrhage group when SMAD6 (SMAD family member 6) was downregulated. Immunohistochemical staining showed that the vascular endothelium of microhemorrhagic bAVMs exhibited decreased SMAD6 expression. Functional assays revealed that SMAD6 downregulation promoted the formation of endothelial cell tubes with deficient cell-cell junctions and facilitated the acquisition of mesenchymal behavior by endothelial cells. Masson trichrome and immunofluorescence staining demonstrated that mesenchymal phenotype of endothelial cells is promoted in microhemorrhagic bAVMs. CONCLUSIONS TGFβ/BMP signaling mediated by SMAD6 in vascular endothelial cells is associated with microhemorrhagic bAVMs, and mesenchymal behavior of endothelial cells induced by SMAD6 downregulation is related with bAVM microhemorrhage.
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Affiliation(s)
- Weilun Fu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Zihan Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Linjian Wang
- Savaid Medical School, University of the Chinese Academy of Sciences, Beijing (L.W., J.Z.)
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.)
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,Beijing Neurosurgical Institute, Capital Medical University, China (Y.C.)
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,China National Clinical Research Center for Neurological Diseases, Beijing (W.F., R.H., Z.Y, H.X., H.L., Y.J., J. Weng, J. Wang, S.W., Y.C., J.Z.).,Savaid Medical School, University of the Chinese Academy of Sciences, Beijing (L.W., J.Z.)
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28
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Weng J, Chen T, Xie Y, Xu X, Zhang G, Peters BA, Drmanac R. IterCluster: a barcode clustering algorithm for long fragment read analysis. PeerJ 2020; 8:e8431. [PMID: 32231869 PMCID: PMC7100596 DOI: 10.7717/peerj.8431] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 12/18/2019] [Indexed: 11/20/2022] Open
Abstract
Recent advances in long fragment read (LFR, also known as linked-read technologies or read-cloud) technologies, such as single tube long fragment reads (stLFR), 10X Genomics Chromium reads, and TruSeq synthetic long-reads, have enabled efficient haplotyping and genome assembly. However, in the case of stLFR and 10X Genomics Chromium reads, the long fragments of a genome are covered sparsely by reads in each barcode and most barcodes are contained in multiple long fragments from different regions, which results in inefficient assembly when using long-range information. Thus, methods to address these shortcomings are vital for capitalizing on the additional information obtained using these technologies. We therefore designed IterCluster, a novel, alignment-free clustering algorithm that can cluster barcodes from the same target region of a genome, using -mer frequency-based features and a Markov Cluster (MCL) approach to identify enough reads in a target region of a genome to ensure sufficient target genome sequence depth. The IterCluster method was validated using BGI stLFR and 10X Genomics chromium reads datasets. IterCluster had a higher precision and recall rate on BGI stLFR data compared to 10X Genomics Chromium read data. In addition, we demonstrated how IterCluster improves the de novo assembly results when using a divide-and-conquer strategy on a human genome data set (scaffold/contig N50 = 13.2 kbp/7.1 kbp vs. 17.1 kbp/11.9 kbp before and after IterCluster, respectively). IterCluster provides a new way for determining LFR barcode enrichment and a novel approach for de novo assembly using LFR data. IterCluster is OpenSource and available on https://github.com/JianCong-WENG/IterCluster.
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Affiliation(s)
- Jiancong Weng
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | | | | | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
| | - Gengyun Zhang
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
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29
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Fu W, Wang W, Li H, Jiao Y, Weng J, Huo R, Yan Z, Wang J, Xu H, Wang S, Wang J, Chen D, Cao Y, Zhao J. High Dimensional Mass Cytometry Analysis Reveals Characteristics of the Immunosuppressive Microenvironment in Diffuse Astrocytomas. Front Oncol 2020; 10:78. [PMID: 32117733 PMCID: PMC7010913 DOI: 10.3389/fonc.2020.00078] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 01/16/2020] [Indexed: 01/01/2023] Open
Abstract
The tumor immune microenvironment (TIME) plays a pivotal role in tumor development, progression, and prognosis. However, the characteristics of the TIME in diffuse astrocytoma (DA) are still unclear. Leveraging mass cytometry with a panel of 33 markers, we analyzed the infiltrating immune cells from 10 DA and 4 oligodendroglioma (OG) tissues and provided a single cell-resolution landscape of the intricate immune microenvironment. Our study profiled the composition of the TIME in DA and confirmed the presence of immune cells, such as glioma-associated microglia/macrophages (GAMs), CD8+ T cells, CD4+ T cells, regulatory T cells (Tregs), and natural killer cells. Increased percentages of PD-1+ CD8+ T cells, TIM-3+ CD4+ T cell subpopulations, Tregs and pro-tumor phenotype GAMs substantially contribute to the local immunosuppressive microenvironment in DA. DAs and OGs share similar compositions in terms of immune cells, while GAMs in DA exhibit more inhibitory characteristics than those in OG.
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Affiliation(s)
- Weilun Fu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Wenjing Wang
- Institute of Hepatology, Capital Medical University Affiliated Beijing You'an Hospital, Beijing, China
| | - Hao Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuming Jiao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiancong Weng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ran Huo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zihan Yan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jie Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyuan Xu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shuo Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiangfei Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dexi Chen
- Institute of Hepatology, Capital Medical University Affiliated Beijing You'an Hospital, Beijing, China
| | - Yong Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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30
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Weng J, Xie M, Xu Z, Wang Z. Comment on "Prognostic factors and survival in Ewing's sarcoma treated by limb salvage surgery". Clin Transl Oncol 2019; 22:956. [PMID: 31571154 DOI: 10.1007/s12094-019-02212-w] [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] [Received: 07/02/2019] [Accepted: 09/13/2019] [Indexed: 10/25/2022]
Affiliation(s)
- J Weng
- Department of Emergency Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - M Xie
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Z Xu
- Department of Emergency Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Z Wang
- Department of Emergency Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China. .,Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, 325000, China.
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31
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Ma J, Li D, Chen Y, Zhang Y, Song L, Tian K, Yang Y, Chen L, Weng J, Cao X, Hao S, Wang L, Wu Z, Zhang J. Low Transforming Growth Factor–β3 Expression Predicts Tumor Malignancy in Meningiomas. World Neurosurg 2019; 125:e353-e360. [DOI: 10.1016/j.wneu.2019.01.077] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 01/04/2019] [Accepted: 01/08/2019] [Indexed: 10/27/2022]
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32
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Cho R, Weng J, Lynch K, Ng P, Brown C, Vikulova D, Hoens A, Brunham L, Pimstone S. UNDERSTANDING THE PRIORITIES OF YOUNG ADULTS WITH ATHEROSCLEROTIC CARDIOVASCULAR DISEASE AND THEIR FAMILY MEMBERS: AN EXPLORATORY MIXED-METHODS STUDY. Can J Cardiol 2018. [DOI: 10.1016/j.cjca.2018.07.235] [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: 10/28/2022] Open
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33
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Yang CL, Sun YH, Yu WH, Yin XZ, Weng J, Feng B, Feng B. RETRACTED: Modulation of macrophage phenotype through controlled release of interleukin-4 from gelatine coatings on titanium surfaces. Eur Cell Mater 2018; 36:15-29. [PMID: 30047980 DOI: 10.22203/ecm.v036a02] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Pro-inflammatory phenotype (M1) macrophages initiate angiogenesis, while their prolonged activation can induce chronic inflammation. Anti-inflammatory phenotype (M2) macrophages promote vessel maturation and tissue regeneration. Biomaterials which can promote M2 polarisation after appropriate inflammation should enhance angiogenesis and wound healing. Herein, Interleukin-4 (IL-4), an anti-inflammatory cytokine, was adsorbed onto a titanium surface. Then, a genipin cross-linked gelatine hydrogel was coated onto the surface to delay IL-4 release. The cross-linking degree of the hydrogel was modulated by the different amount of genipin to control release of IL-4. When 0.7 wt% (weight %) genipin was used as a cross-linker, the sample (GG07-I) released less IL-4 within the first several days, followed by a sustained release time to 14 d. Meanwhile, the release rate of IL-4 in GG07-I reached a peak between 3 d and 7 d. In culture with macrophages in vitro, GG07-I and GG07 exhibited good cytocompatibility. The phenotypical switch of macrophages stimulated by the samples was determined by FACS, ELISA and PCR. Macrophages cultured with GG07-I, GG07 and PT were firstly activated to the M1 phenotype by interferon-gamma (IFN-γ). Then, due to the release of IL-4 in 5 to 7 d, GG07-I enhanced CD206, increased the secretion and gene expression of M2 marker, such as interleukin-10 (IL-10), arginase-1 (ARG-1) and platelet derived growth factor-BB (PDGF- BB). GG07-I prompted the switch from M1 to M2 phenotype. Those appropriate secretion of cytokines would benefit both vascularisation and osseointegration. Thus, the biomaterial directing inflammatory reaction has good prospects for clinical treatments.
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Affiliation(s)
| | | | | | | | | | - B Feng
- Key Laboratory of Advanced Technology for Materials (Ministry of Education), School of Materials Science and Engineering, University of the Southwest Jiaotong University, Jinniu District, Chengdu,
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34
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Spadola C, Zhou ES, Rottapel R, Gou N, Johnson DA, Weng J, Chen J, Redline S, Bertisch SM. 1047 A Community-Based Sleep Health and Yoga Intervention to Improve Sleep Outcomes among Low-income and Racial/Ethnic Minority Adults. Sleep 2018. [DOI: 10.1093/sleep/zsy061.1046] [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: 11/12/2022] Open
Affiliation(s)
- C Spadola
- Harvard Medical School & Brigham and Women’s Hospital, Boston, MA
| | - E S Zhou
- Dana-Farber Cancer Institute, Boston, MA
| | - R Rottapel
- Harvard Medical School & Brigham and Women’s Hospital, Boston, MA
| | - N Gou
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | - D A Johnson
- Harvard Medical School & Brigham and Women’s Hospital, Boston, MA
| | - J Weng
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA
| | - J Chen
- Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - S Redline
- Harvard Medical School & Brigham and Women’s Hospital, Boston, MA
| | - S M Bertisch
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
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35
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Quante M, Mariani S, Weng J, Marinac C, Kaplan E, Rueschman M, Mitchell J, James P, Hipp J, Cespedes Feliciano E, Wang R, Redline S. 0162 Zeitgebers And Their Association With Rest-activity Patterns. Sleep 2018. [DOI: 10.1093/sleep/zsy061.161] [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: 11/14/2022] Open
Affiliation(s)
- M Quante
- University of Tuebingen, Germany, Tuebingen, GERMANY
| | - S Mariani
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
| | - J Weng
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
| | - C Marinac
- Dana-Farber Cancer Institute, Boston, MA, Boston, MA
| | - E Kaplan
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
| | - M Rueschman
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
| | - J Mitchell
- Children’s Hospital of Philadelphia, Philadelphia, PA, Philadelphia, PA
| | - P James
- Harvard Medical School, Boston, MA
| | - J Hipp
- NC State University, Raleigh, NC, Raleigh, NC
| | | | - R Wang
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
| | - S Redline
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
- Brigham and Women’s Hospital, Department of Medicine, Division of Sleep and Circadian Disorders, Boston, MA
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36
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Kwon Y, Mariani S, Gadi S, Weng J, Jacobs DR, Punjabi N, Redline S. 0450 Characterization Of Lung To Finger Circulation Time: The Multi-ethnic Study Of Atherosclerosis. Sleep 2018. [DOI: 10.1093/sleep/zsy061.449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Y Kwon
- University of Virginia School of Medicine, Charlottesvillee, VA
| | - S Mariani
- Brigham & Women’s Hospital; Harvard Medical School, Boston, MA
| | - S Gadi
- University of Virginia School of Medicine, Charlottesville, VA
| | - J Weng
- Brigham & Women’s Hospital; Harvard Medical School, Boston, MA
| | - D R Jacobs
- University of Minnesota School of Public Health,, Minneapolis, MN
| | - N Punjabi
- Johns Hopkins School of Medicine, Baltimore, MD
| | - S Redline
- Brigham & Women’s Hospital; Harvard Medical School, Bosston, MA
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37
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Weng J, Bertisch S, Lutsey P, Kaufman J, McClelland R, Redline S. 0364 Insomnia with Objective Short Sleep Duration and Coronary Artery Calcification: Multi-Ethnic Study of Atherosclerosis. Sleep 2018. [DOI: 10.1093/sleep/zsy061.363] [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: 11/14/2022] Open
Affiliation(s)
- J Weng
- Brigham and Women’s Hospital, Boston, MA
| | | | - P Lutsey
- School of Public Health, University of Minnesota, Minneapolis, MN
| | - J Kaufman
- School of Public Health, University of Washington, Seattle, WA
| | - R McClelland
- School of Public Health, University of Washington, Seattle, WA
| | - S Redline
- Brigham and Women’s Hospital, Boston, MA
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38
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Weng J, Wu H, Wang Z. Risk factors for postoperative ileus after colorectal cancer surgery: methodological issues. Colorectal Dis 2018; 20:351-352. [PMID: 29411484 DOI: 10.1111/codi.14043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 10/03/2017] [Indexed: 01/05/2023]
Affiliation(s)
- J Weng
- Department of Emergency Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - H Wu
- Department of Emergency Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Z Wang
- Department of Emergency Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.,Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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39
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Weng J, Cai B, Chen J, Chen B, Wu H, Wen C, Sun F, Hu L, Chen C, Wang X, Wang Z. Metabolic changes in methomyl poisoned rats treated by vitamin E. Hum Exp Toxicol 2018; 37:390-398. [PMID: 28425351 DOI: 10.1177/0960327117705428] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In this study, we developed a serum and urine metabolomic method based on gas chromatography-mass spectrometry (GC-MS) combination with biomedical results to evaluate the effect of vitamin E treatment on methomyl poisoning rats. The rats were divided into three groups: the control group, methomyl poisoning group, and vitamin E treatment group. Partial least squares discriminate analysis (PLS-DA) showed that methomyl poisoning induced metabolic perturbations. Compared to the control group, based on the urinary metabolomics data, the level of ribitol, l-proline, xylitol, hydrocinnamic acid, 11-cis-octadecenoic acid, octadecanoic acid, and hexadecanoic acid of methomyl poisoning group increased, while the level of 2,3,4-trihydroxybutyric acid, ethanimidic acid, pantothenic acid, and retinoic acid decreased. Vitamin E pretreatment effectively normalized the levels of metabolites in rat urine in vitamin E treatment group. There was no significant difference in rat plasma metabolomic data after acute methomyl poisoning. The results indicate that metabolomic method based on GC-MS may be useful to elucidate the vitamin E treatment for methomyl poisoning.
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Affiliation(s)
- J Weng
- 1 The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - B Cai
- 1 The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - J Chen
- 2 Laboratory Animal Centre of Wenzhou Medical University, Wenzhou, China
| | - B Chen
- 2 Laboratory Animal Centre of Wenzhou Medical University, Wenzhou, China
| | - H Wu
- 1 The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - C Wen
- 2 Laboratory Animal Centre of Wenzhou Medical University, Wenzhou, China
| | - F Sun
- 2 Laboratory Animal Centre of Wenzhou Medical University, Wenzhou, China
| | - L Hu
- 3 The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - C Chen
- 3 The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - X Wang
- 2 Laboratory Animal Centre of Wenzhou Medical University, Wenzhou, China
| | - Z Wang
- 1 The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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40
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Abstract
A comparative investigation on the possibility of hydroxyapatite (HA) coating and pure Ti column to form biological sealing with skin tissue was completed in this study. HA coating and pure Ti column were percutaneously implanted in the tibia of rabbits. Compared with titanium (Ti) implant, HA coating forms epithelial sealing with skin tissue at 6 weeks postoperatively, while the Ti implant may loosen from the implanted site and be lost. The Ti column loosing rate at this time was 50%. However, once the Ti implant becomes fixed with the bone tissue, it can form epithelial sealing with skin tissue just like the HA coating, at 8 weeks postoperatively. At 8 weeks postoperatively, the epithelial sealing is not destroyed in spite of the fact that the HA coating is biodegraded. Our results show that the HA coating can become fixed with the bone faster than the Ti, which is beneficial for epithelial sealing formation. The main role of HA coating for epithelial sealing is beneficial for sealing at the initial period after it is implanted.
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Affiliation(s)
- B.C. Yang
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
| | - J. Weng
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
| | - X.D. Li
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
| | - Z.J. Yang
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
| | - J.M. Feng
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
| | - J.Y Chen
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
| | - X.D. Zhang
- Institute of Materials Science and Technology, Sichuan University, Chengdu, Sichuan - China
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41
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Xie S, Zhang X, Zhou Z, Li X, Huang Y, Zhang J, Weng J. Identification of genes alternatively spliced in developing maize endosperm. Plant Biol (Stuttg) 2018; 20:59-66. [PMID: 28945323 DOI: 10.1111/plb.12631] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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: 08/02/2017] [Accepted: 09/17/2017] [Indexed: 06/07/2023]
Abstract
The process of alternative splicing is critical for the regulation of growth and development of plants. Thus far, little is known about the role of alternative splicing in the regulation of maize (Zea mays L.) endosperm development. RNA sequencing (RNA-seq) data of endosperms from two maize inbred lines, Mo17 and Ji419, at 15 and 25 days after pollination (DAP), respectively, were used to identify genes that were alternatively spliced during endosperm development. Intron retention (IR) in GRMZM2G005887 was further validated using PCR and re-sequencing technologies. In total, 49,000 alternatively spliced events and ca. 20,000 alternatively spliced genes were identified in the two maize inbred lines. Of these, 30 genes involved in amino acid biosynthesis and starch biosynthesis were identified, with IR occurring only in a specific sample, and were significantly co-expressed with ten well-known genes related to maize endosperm development. Moreover, IR in GRMZM2G005887, which encodes a cysteine synthase, was confirmed to occur only in the endosperm of Mo17 at 15 DAP, resulting in the retention of a 121-bp fragment in its 5' untranslated region. Two cis-acting regulatory elements, CAAT-box and TATA-box were observed in the retained fragment in Mo17 at 15 DAP; this could regulate the expression of this gene and influence endosperm development. The results suggest that the 30 genes with IR identified herein might be associated with maize endosperm development, and are likely to play important roles in the developing maize endosperm.
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Affiliation(s)
- S Xie
- College of Life Science, Sichuan Agricultural University, Ya'an, China
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - X Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Z Zhou
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - X Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Y Huang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - J Zhang
- College of Life Science, Sichuan Agricultural University, Ya'an, China
| | - J Weng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
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42
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Ramos A, Weng J, Wallace D, Petrov M, Wohlgemuth W, Sotres-Alvarez D, Loredo J, Reid K, Zee P, Mossavar-Rahmani Y, Patel S. Actigraphic sleep patterns and hypertension in the Hispanic community health study/study of Latinos. Sleep Med 2017. [DOI: 10.1016/j.sleep.2017.11.806] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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43
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Lai Y, Weng J, Wei X, Qin L, Lai P, Zhao R, Jiang Z, Li B, Lin S, Wang S, Wu Q, Tang Z, Liu P, Pei D, Yao Y, Du X, Li P. Toll-like receptor 2 costimulation potentiates the antitumor efficacy of CAR T Cells. Leukemia 2017; 32:801-808. [PMID: 28841215 DOI: 10.1038/leu.2017.249] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 07/20/2017] [Accepted: 07/24/2017] [Indexed: 01/03/2023]
Abstract
Chimeric antigen receptor (CAR) T-cell immunotherapies have shown unprecedented success in treating leukemia but limited clinical efficacy in solid tumors. Here, we generated 1928zT2 and m28zT2, targeting CD19 and mesothelin, respectively, by introducing the Toll/interleukin-1 receptor domain of Toll-like receptor 2 (TLR2) to 1928z and m28z. T cells expressing 1928zT2 or m28zT2 showed improved expansion, persistency and effector function against CD19+ leukemia or mesothelin+ solid tumors respectively in vitro and in vivo. In a patient with relapsed B-cell acute lymphoblastic leukemia, a single dose of 5 × 104/kg 1928zT2 T cells resulted in robust expansion and leukemia eradication and led to complete remission. Hence, our results demonstrate that TLR2 signaling can contribute to the efficacy of CAR T cells. Further clinical trials are warranted to establish the safety and efficacy of this approach.
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Affiliation(s)
- Y Lai
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - J Weng
- Department of Hematology, Guangdong General Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China
| | - X Wei
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - L Qin
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - P Lai
- Department of Hematology, Guangdong General Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China
| | - R Zhao
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Z Jiang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - B Li
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - S Lin
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - S Wang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Q Wu
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Z Tang
- Guangdong Zhaotai InVivo Biomedicine Co. Ltd., Guangzhou, China.,Hunan Zhaotai Yongren Medical Innovation Co. Ltd., Changsha, China
| | - P Liu
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - D Pei
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Y Yao
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - X Du
- Department of Hematology, Guangdong General Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China
| | - P Li
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Department of Abdominal Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
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44
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Liang H, Xu W, Zhou L, Yang W, Weng J. Differential increments of basal glucagon-like-1 peptide concentration among SLC47A1 rs2289669 genotypes were associated with inter-individual variability in glycaemic response to metformin in Chinese people with newly diagnosed Type 2 diabetes. Diabet Med 2017; 34:987-992. [PMID: 28321905 DOI: 10.1111/dme.13351] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2017] [Indexed: 12/24/2022]
Abstract
AIM To elucidate the effects of rs2289669, an intron variant of the SLC47A1 gene, on glucose response to metformin in Chinese people with newly diagnosed Type 2 diabetes. METHODS Rs2289669 was genotyped, using Sequenom, in 291 participants receiving 48 weeks of metformin monotherapy. The changes in HbA1c were compared among rs2289669 genotypes, and associations with rs2289669 were evaluated using linear regression analysis. RESULTS We found that, compared with participants with a homozygous G allele, those carrying the minor A allele had significantly greater HbA1c reduction and greater increases in basal glucagon-like peptide-1 concentration. Regression analysis showed that there was a significant association between rs2289669 and the glucose response to metformin after adjusting for confounding factors, except for changes in basal glucagon-like peptide-1, for which an association was not observed. CONCLUSIONS Our findings suggest that rs2289669 might help predict the glycaemic response to metformin in Chinese people newly diagnosed with Type 2 diabetes, and that differential increases in basal glucagon-like peptide-1 concentration among rs2289669 genotypes might be associated with inter-individual response to metformin.
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Affiliation(s)
- H Liang
- Department of Endocrinology and Metabolism, Third Affiliated Hospital of Sun Yat-Sen University and Guangdong Provincial Key Laboratory of Diabetology, Guangzhou
| | - W Xu
- Department of Endocrinology and Metabolism, Third Affiliated Hospital of Sun Yat-Sen University and Guangdong Provincial Key Laboratory of Diabetology, Guangzhou
| | - L Zhou
- Department of Endocrinology and Metabolism, Third Affiliated Hospital of Sun Yat-Sen University and Guangdong Provincial Key Laboratory of Diabetology, Guangzhou
| | - W Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - J Weng
- Department of Endocrinology and Metabolism, Third Affiliated Hospital of Sun Yat-Sen University and Guangdong Provincial Key Laboratory of Diabetology, Guangzhou
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45
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Geovanini GR, Wang R, Weng J, Shea S, Jenny NS, Libby P, Redline S. 0447 AGE AND SEX MODIFY THE ASSOCIATION BETWEEN OSA AND TRADITIONAL AND NOVEL CARDIOVASCULAR RISK FACTORS: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA). Sleep 2017. [DOI: 10.1093/sleepj/zsx050.446] [Citation(s) in RCA: 2] [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: 11/14/2022] Open
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46
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Djonlagic I, Weng J, Johnson D, Marani S, Purcell S, Fitzpatrick A, Frazier-Wood A, Seeman T, Nguyen H, Luchsinger J, Rapp S, Redline S. 0754 ASSOCIATIONS BETWEEN SLEEP EFFICIENCY AND COGNITIVE FUNCTION IN THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA). Sleep 2017. [DOI: 10.1093/sleepj/zsx050.753] [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: 11/13/2022] Open
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47
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Abbott S, Weng J, Reid K, Daviglus M, Gallo L, Loredo J, Nyenhuis S, Penedo F, Ramos A, Shah N, Sotres-Alvarez D, Wohlgemuth W, Patel S, Zee P. 1016 SLEEP-WAKE TIMING AND STABILITY ARE ASSOCIATED WITH INCREASED BLOOD PRESSURE IN THE SUEÑO ANCILLARY STUDY OF THE HISPANIC COMMUNITY HEALTH STUDY/STUDY OF LATINOS (HCHS/SOL). Sleep 2017. [DOI: 10.1093/sleepj/zsx050.1015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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48
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Dudley KA, Johnson DA, Weng J, Wallace DM, Alcantara C, Wallace M, Ramos AR, Mossavar-Rahmani Y, Perreira K, Zee PC, Salazar ZU, Redline S, Reid KJ, Sotres-Alvarez D, Patel SR. 0838 ACCULTURATION AND SLEEP PATTERNS IN U.S. HISPANIC/LATINOS: THE HISPANIC COMMUNITY HEALTH STUDY/STUDY OF LATINOS (HCHS/SOL) SUEÑO ANCILLARY STUDY. Sleep 2017. [DOI: 10.1093/sleepj/zsx050.837] [Citation(s) in RCA: 2] [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: 11/13/2022] Open
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49
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Quante M, Mitchell JA, Godbole S, James P, Hipp A, Marinac CR, Mariani S, Cespedes Feliciano EM, Glanz K, Laden F, Wang R, Weng J, Redline S, Kerr J. 0693 VARIATION IN ACTIGRAPHY-ESTIMATED REST-ACTIVITY PATTERNS BY DEMOGRAPHIC FACTORS. Sleep 2017. [DOI: 10.1093/sleepj/zsx050.692] [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: 11/13/2022] Open
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50
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Geng S, Weng J, Deng C, Li M, Lu Z, Wu P, Huang X, Lai P, Du X. Expression of PD-1, PD-L1 and PD-L2 in Patients with Myelodysplastic Syndromes and its Clinic Relationship. Leuk Res 2017. [DOI: 10.1016/s0145-2126(17)30296-5] [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: 11/29/2022]
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