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Lin Y, Mao X. Displacement of occluder after left atrial appendage closure: A case report. Clin Case Rep 2024; 12:e8915. [PMID: 38770415 PMCID: PMC11103550 DOI: 10.1002/ccr3.8915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/20/2024] [Accepted: 04/23/2024] [Indexed: 05/22/2024] Open
Abstract
Key Clinical Message Atrial fibrillation is closely associated with thrombotic events. In non-valvular atrial fibrillation, 90% of thrombi are formed by the left atrial appendage. Left atrial appendage occlusion (LAAC) can effectively prevent the detachment of left atrial appendage thrombus during atrial fibrillation, thereby reducing the risk of long-term disability or death caused by thromboembolic events. However, the identification and management of complications in LAAC are also very important. Abstract The efficacy and safety of left atrial appendage occlusion (LAAC) in preventing non-valvular atrial fibrillation stroke have been confirmed by multiple randomized controlled and registered studies, and have been recommended by several guidelines for stroke prevention in patients with atrial fibrillation at high-risk of stroke. We reported an 80-year-old male patient with persistent atrial fibrillation. The patient underwent left atrial appendage closure surgery due to high risk of embolism and bleeding. On the second day after surgery, echocardiography showed displacement of the left atrial appendage occluder. Immediately perform removal of left atrial appendage occlude and left atrial appendage occlusion on the same day, and the patient was discharged on the fifth day after surgery without any special circumstances. This case demonstrates the feasibility and important clinical significance of using interventional surgery to remove the left atrial appendage occluder after displacement in clinical practice.
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Affiliation(s)
- Yan Lin
- Department of CardiologyDongxihu District People's HospitalWuhanHubeiChina
| | - Xiaobo Mao
- Department of CardiologyHuazhong University of Science and Technology Tongji Medical College Affiliated Union HospitalWuhanHubeiChina
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2
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Chen C, Kumbhar R, Wang H, Yang X, Gadhave K, Rastegar C, Kimura Y, Behensky A, Kotha S, Kuo G, Katakam S, Jeong D, Wang L, Wang A, Chen R, Zhang S, Jin L, Workman CJ, Vignali DAA, Pletinkova O, Jia H, Peng W, Nauen DW, Wong PC, Redding‐Ochoa J, Troncoso JC, Ying M, Dawson VL, Dawson TM, Mao X. Lymphocyte-Activation Gene 3 Facilitates Pathological Tau Neuron-to-Neuron Transmission. Adv Sci (Weinh) 2024; 11:e2303775. [PMID: 38327094 PMCID: PMC11040377 DOI: 10.1002/advs.202303775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/27/2023] [Indexed: 02/09/2024]
Abstract
The spread of prion-like protein aggregates is a common driver of pathogenesis in various neurodegenerative diseases, including Alzheimer's disease (AD) and related Tauopathies. Tau pathologies exhibit a clear progressive spreading pattern that correlates with disease severity. Clinical observation combined with complementary experimental studies has shown that Tau preformed fibrils (PFF) are prion-like seeds that propagate pathology by entering cells and templating misfolding and aggregation of endogenous Tau. While several cell surface receptors of Tau are known, they are not specific to the fibrillar form of Tau. Moreover, the underlying cellular mechanisms of Tau PFF spreading remain poorly understood. Here, it is shown that the lymphocyte-activation gene 3 (Lag3) is a cell surface receptor that binds to PFF but not the monomer of Tau. Deletion of Lag3 or inhibition of Lag3 in primary cortical neurons significantly reduces the internalization of Tau PFF and subsequent Tau propagation and neuron-to-neuron transmission. Propagation of Tau pathology and behavioral deficits induced by injection of Tau PFF in the hippocampus and overlying cortex are attenuated in mice lacking Lag3 selectively in neurons. These results identify neuronal Lag3 as a receptor of pathologic Tau in the brain,and for AD and related Tauopathies, a therapeutic target.
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3
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Xu Q, Mao X, Zhang J, Wu L. Immediate application of frozen-thawed embryo transfer cycle in month following COVID-19 infection does not impair subsequent pregnancy outcomes. Ultrasound Obstet Gynecol 2024. [PMID: 38437458 DOI: 10.1002/uog.27630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/06/2024]
Abstract
OBJECTIVES To investigate whether immediate frozen embryo transfer (FET) in the next month following COVID-19 recovery affects the subsequent pregnancy outcomes. METHODS A retrospective cohort study was carried out at a university-affiliated reproductive medicine center. The study group (post-COVID-19 group) consisted of women who were afflicted with COVID-19 in December 2022 and immediately invested in FET in January 2023 after recovery, with embryos transferred and not exposed to the infection. The control group was composed of women treated during the pre-COVID-19 period (January 2019). Multivariable logistic regression analyses as well as a propensity score matching (PSM) approach were introduced to control for the potential confounders and selection bias. RESULTS A total of 200 patients were included in the post-COVID-19 group while a total of 641 women were enrolled in the control group. The rate of ongoing pregnancy was comparable between the study cohorts in both the unadjusted and confounder-adjusted logistic regression models. The other reproductive outcomes, including the odds of the positive pregnancy test, implantation, clinical pregnancy, and early pregnancy loss were all similar between the comparison groups. Results from PSM models further confirmed the lack of significant differences in pregnancy outcomes between the post-COVID-19 group versus the control group. CONCLUSION Our findings suggested that for patients who get infected with COVID-19, the immediate investment in a FET cycle in the next month after recovery did not seem to compromise the ongoing pregnancy outcomes in cases of transferred embryos resulting from the pre-infection stage. Thus, women who had frozen embryos from the pre-infection cycles should be counseled and encouraged to invest in IVF as soon as possible after recovering from COVID-19 infection. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Q Xu
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai, 200011, China
| | - X Mao
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai, 200011, China
| | - J Zhang
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai, 200011, China
| | - L Wu
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai, 200011, China
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Chang H, Chen E, Hu Y, Wu L, Deng L, Ye‐Lehmann S, Mao X, Zhu T, Liu J, Chen C. Extracellular Vesicles: The Invisible Heroes and Villains of COVID-19 Central Neuropathology. Adv Sci (Weinh) 2024; 11:e2305554. [PMID: 38143270 PMCID: PMC10933635 DOI: 10.1002/advs.202305554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/18/2023] [Indexed: 12/26/2023]
Abstract
Acknowledging the neurological symptoms of COVID-19 and the long-lasting neurological damage even after the epidemic ends are common, necessitating ongoing vigilance. Initial investigations suggest that extracellular vesicles (EVs), which assist in the evasion of the host's immune response and achieve immune evasion in SARS-CoV-2 systemic spreading, contribute to the virus's attack on the central nervous system (CNS). The pro-inflammatory, pro-coagulant, and immunomodulatory properties of EVs contents may directly drive neuroinflammation and cerebral thrombosis in COVID-19. Additionally, EVs have attracted attention as potential candidates for targeted therapy in COVID-19 due to their innate homing properties, low immunogenicity, and ability to cross the blood-brain barrier (BBB) freely. Mesenchymal stromal/stem cell (MSCs) secreted EVs are widely applied and evaluated in patients with COVID-19 for their therapeutic effect, considering the limited antiviral treatment. This review summarizes the involvement of EVs in COVID-19 neuropathology as carriers of SARS-CoV-2 or other pathogenic contents, as predictors of COVID-19 neuropathology by transporting brain-derived substances, and as therapeutic agents by delivering biotherapeutic substances or drugs. Understanding the diverse roles of EVs in the neuropathological aspects of COVID-19 provides a comprehensive framework for developing, treating, and preventing central neuropathology and the severe consequences associated with the disease.
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Affiliation(s)
- Haiqing Chang
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Erya Chen
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Yi Hu
- Department of Cardiology, Honghui hospitalXi'an Jiaotong UniversityXi'an710049China
| | - Lining Wu
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Liyun Deng
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Shixin Ye‐Lehmann
- Diseases and Hormones of the Nervous System University of Paris‐Scalay Bicêtre Hosptial BâtGrégory Pincus 80 Rue du Gal Leclerc, CedexLe Kremlin Bicêtre94276France
| | - Xiaobo Mao
- Department of NeurologyInstitute of Cell EngineeringSchool of MedicineJohns Hopkins UniversityBaltimoreMD21218USA
| | - Tao Zhu
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Jin Liu
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Chan Chen
- Department of AnesthesiologyWest China HospitalSichuan UniversityLaboratory of Anesthesia and Critical Care MedicineNational‐Local Joint Engineering Research Centre of Translational Medicine of AnesthesiologyWest China HospitalSichuan UniversityChengduSichuan610041China
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Wang H, Yin X, Xu J, Chen L, Karuppagounder SS, Xu E, Mao X, Dawson VL, Dawson TM. Interspecies chimerism with human embryonic stem cells generates functional human dopamine neurons at low efficiency. Stem Cell Reports 2024; 19:54-67. [PMID: 38134925 PMCID: PMC10828682 DOI: 10.1016/j.stemcr.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
Interspecies chimeras offer great potential for regenerative medicine and the creation of human disease models. Whether human pluripotent stem cell-derived neurons in an interspecies chimera can differentiate into functional neurons and integrate into host neural circuity is not known. Here, we show, using Engrailed 1 (En1) as a development niche, that human naive-like embryonic stem cells (ESCs) can incorporate into embryonic and adult mouse brains. Human-derived neurons including tyrosine hydroxylase (TH)+ neurons integrate into the mouse brain at low efficiency. These TH+ neurons have electrophysiologic properties consistent with their human origin. In addition, these human-derived neurons in the mouse brain accumulate pathologic phosphorylated α-synuclein in response to α-synuclein preformed fibrils. Optimization of human/mouse chimeras could be used to study human neuronal differentiation and human brain disorders.
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Affiliation(s)
- Hu Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xiling Yin
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jinchong Xu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Li Chen
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Senthilkumar S Karuppagounder
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Enquan Xu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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6
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Hou J, Wei Y, Zou J, Jaffery R, Sun L, Liang S, Zheng N, Guerrero AM, Egan NA, Bohat R, Chen S, Zheng C, Mao X, Yi SS, Chen K, McGrail DJ, Sahni N, Shi PY, Chen Y, Xie X, Peng W. Integrated multi-omics analyses identify anti-viral host factors and pathways controlling SARS-CoV-2 infection. Nat Commun 2024; 15:109. [PMID: 38168026 PMCID: PMC10761986 DOI: 10.1038/s41467-023-44175-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
Host anti-viral factors are essential for controlling SARS-CoV-2 infection but remain largely unknown due to the biases of previous large-scale studies toward pro-viral host factors. To fill in this knowledge gap, we perform a genome-wide CRISPR dropout screen and integrate analyses of the multi-omics data of the CRISPR screen, genome-wide association studies, single-cell RNA-Seq, and host-virus proteins or protein/RNA interactome. This study uncovers many host factors that are currently underappreciated, including the components of V-ATPases, ESCRT, and N-glycosylation pathways that modulate viral entry and/or replication. The cohesin complex is also identified as an anti-viral pathway, suggesting an important role of three-dimensional chromatin organization in mediating host-viral interaction. Furthermore, we discover another anti-viral regulator KLF5, a transcriptional factor involved in sphingolipid metabolism, which is up-regulated, and harbors genetic variations linked to COVID-19 patients with severe symptoms. Anti-viral effects of three identified candidates (DAZAP2/VTA1/KLF5) are confirmed individually. Molecular characterization of DAZAP2/VTA1/KLF5-knockout cells highlights the involvement of genes related to the coagulation system in determining the severity of COVID-19. Together, our results provide further resources for understanding the host anti-viral network during SARS-CoV-2 infection and may help develop new countermeasure strategies.
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Affiliation(s)
- Jiakai Hou
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Yanjun Wei
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Zou
- Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Roshni Jaffery
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Long Sun
- Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Shaoheng Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Ningbo Zheng
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Ashley M Guerrero
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Nicholas A Egan
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Ritu Bohat
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Si Chen
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Caishang Zheng
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S Stephen Yi
- Department of Oncology, Livestrong Cancer Institutes, and Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
- Interdisciplinary Life Sciences Graduate Programs (ILSGP) and Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel J McGrail
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA
| | - Nidhi Sahni
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pei-Yong Shi
- Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.
- Institute for Human Infections and Immunity, The University of Texas Medical Branch, Galveston, TX, USA.
- Sealy Institute for Vaccine Sciences, The University of Texas Medical Branch, Galveston, TX, USA.
- Sealy Center for Structural Biology & Molecular Biophysics, The University of Texas Medical Branch, Galveston, TX, USA.
- Institute for Translational Science, The University of Texas Medical Branch, Galveston, TX, USA.
- Sealy Institute for Drug Discovery, The University of Texas Medical Branch, Galveston, TX, USA.
| | - Yiwen Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Quantitative Sciences Program, MD Anderson Cancer Center, UT Health Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Xuping Xie
- Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.
- Sealy Institute for Drug Discovery, The University of Texas Medical Branch, Galveston, TX, USA.
| | - Weiyi Peng
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
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7
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Choi CY, Gadhave K, Villano J, Pekosz A, Mao X, Jia H. Generation and characterization of a humanized ACE2 mouse model to study long-term impacts of SARS-CoV-2 infection. J Med Virol 2024; 96:e29349. [PMID: 38185937 PMCID: PMC10783855 DOI: 10.1002/jmv.29349] [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: 11/30/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024]
Abstract
Although the COVID-19 pandemic has officially ended, the persistent challenge of long-COVID or post-acute COVID sequelae (PASC) continues to impact societies globally, highlighting the urgent need for ongoing research into its mechanisms and therapeutic approaches. Our team has recently developed a novel humanized ACE2 mouse model (hACE2ki) designed explicitly for long-COVID/PASC research. This model exhibits human ACE2 expression in tissue and cell-specific patterns akin to mouse Ace2. When we exposed young adult hACE2ki mice (6 weeks old) to various SARS-CoV-2 lineages, including WA, Delta, and Omicron, at a dose of 5 × 105 PFU/mouse via nasal instillation, the mice demonstrated distinctive phenotypes characterized by differences in viral load in the lung, trachea, and nasal turbinate, weight loss, and changes in pro-inflammatory cytokines and immune cell profiles in bronchoalveolar lavage fluid. Notably, no mortality was observed in this age group. Further, to assess the model's relevance for long-COVID studies, we investigated tau protein pathologies, which are linked to Alzheimer's disease, in the brains of these mice post SARS-CoV-2 infection. Our findings revealed the accumulation and longitudinal propagation of tau, confirming the potential of our hACE2ki mouse model for preclinical studies of long-COVID.
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Affiliation(s)
- Chang-Yong Choi
- Division of Pediatric Surgery, Department of Surgery, Johns Hopkins University School, of Medicine, Baltimore, MD 21205, USA
| | - Kundlik Gadhave
- Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jason Villano
- Molecular and Comparative Pathobiology, The Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Andrew Pekosz
- Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Xiaobo Mao
- Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Institute for NanoBioTechnology, Department of Material Science and Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21218, USA
| | - Hongpeng Jia
- Division of Pediatric Surgery, Department of Surgery, Johns Hopkins University School, of Medicine, Baltimore, MD 21205, USA
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8
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Liu J, van Beusekom H, Bu X, Chen G, Henrique Rosado de Castro P, Chen X, Chen X, Clarkson AN, Farr TD, Fu Y, Jia J, Jolkkonen J, Kim WS, Korhonen P, Li S, Liang Y, Liu G, Liu G, Liu Y, Malm T, Mao X, Oliveira JM, Modo MM, Ramos‐Cabrer P, Ruscher K, Song W, Wang J, Wang X, Wang Y, Wu H, Xiong L, Yang Y, Ye K, Yu J, Zhou X, Zille M, Masters CL, Walczak P, Boltze J, Ji X, Wang Y. Preserving cognitive function in patients with Alzheimer's disease: The Alzheimer's disease neuroprotection research initiative (ADNRI). Neuroprotection 2023; 1:84-98. [PMID: 38223913 PMCID: PMC10783281 DOI: 10.1002/nep3.23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 01/16/2024]
Abstract
The global trend toward aging populations has resulted in an increase in the occurrence of Alzheimer's disease (AD) and associated socioeconomic burdens. Abnormal metabolism of amyloid-β (Aβ) has been proposed as a significant pathomechanism in AD, supported by results of recent clinical trials using anti-Aβ antibodies. Nonetheless, the cognitive benefits of the current treatments are limited. The etiology of AD is multifactorial, encompassing Aβ and tau accumulation, neuroinflammation, demyelination, vascular dysfunction, and comorbidities, which collectively lead to widespread neurodegeneration in the brain and cognitive impairment. Hence, solely removing Aβ from the brain may be insufficient to combat neurodegeneration and preserve cognition. To attain effective treatment for AD, it is necessary to (1) conduct extensive research on various mechanisms that cause neurodegeneration, including advances in neuroimaging techniques for earlier detection and a more precise characterization of molecular events at scales ranging from cellular to the full system level; (2) identify neuroprotective intervention targets against different neurodegeneration mechanisms; and (3) discover novel and optimal combinations of neuroprotective intervention strategies to maintain cognitive function in AD patients. The Alzheimer's Disease Neuroprotection Research Initiative's objective is to facilitate coordinated, multidisciplinary efforts to develop systemic neuroprotective strategies to combat AD. The aim is to achieve mitigation of the full spectrum of pathological processes underlying AD, with the goal of halting or even reversing cognitive decline.
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Affiliation(s)
- Jie Liu
- Department of Neurology, Daping HospitalThird Military Medical UniversityChongqingChina
- Chongqing Key Laboratory of Ageing and Brain DiseasesChongqingChina
| | - Heleen van Beusekom
- Division of Experimental Cardiology, Department of Cardiology, Erasmus MCUniversity Medical CenterRotterdamThe Netherlands
| | - Xian‐Le Bu
- Department of Neurology, Daping HospitalThird Military Medical UniversityChongqingChina
- Chongqing Key Laboratory of Ageing and Brain DiseasesChongqingChina
- Institute of Brain and IntelligenceThird Military Medical UniversityChongqingChina
| | - Gong Chen
- Guangdong‐HongKong‐Macau Institute of CNS Regeneration (GHMICR)Jinan UniversityGuangzhouGuangdongChina
| | | | - Xiaochun Chen
- Fujian Key Laboratory of Molecular Neurology, Department of Neurology and Geriatrics, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, Institute of NeuroscienceFujian Medical UniversityFuzhouFujianChina
| | - Xiaowei Chen
- Institute of Brain and IntelligenceThird Military Medical UniversityChongqingChina
- Guangyang Bay LaboratoryChongqing Institute for Brain and IntelligenceChongqingChina
- Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
| | - Andrew N. Clarkson
- Department of Anatomy, Brain Health Research Centre and Brain Research New ZealandUniversity of OtagoDunedinNew Zealand
| | - Tracy D. Farr
- School of Life SciencesUniversity of NottinghamNottinghamUK
| | - Yuhong Fu
- Brain and Mind Centre & School of Medical SciencesThe University of SydneySydneyNew South WalesAustralia
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric DiseasesCapital Medical UniversityBeijingChina
| | - Jukka Jolkkonen
- A.I. Virtanen Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Woojin Scott Kim
- Brain and Mind Centre & School of Medical SciencesThe University of SydneySydneyNew South WalesAustralia
| | - Paula Korhonen
- A.I. Virtanen Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Shen Li
- Department of Neurology and Psychiatry, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
| | - Yajie Liang
- Department of Diagnostic Radiology and Nuclear MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Guang‐Hui Liu
- University of Chinese Academy of SciencesBeijingChina
- State Key Laboratory of Membrane Biology, Institute of ZoologyChinese Academy of SciencesBeijingChina
| | - Guiyou Liu
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Yu‐Hui Liu
- Department of Neurology, Daping HospitalThird Military Medical UniversityChongqingChina
- Chongqing Key Laboratory of Ageing and Brain DiseasesChongqingChina
- Institute of Brain and IntelligenceThird Military Medical UniversityChongqingChina
| | - Tarja Malm
- A.I. Virtanen Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Xiaobo Mao
- Institute for Cell Engineering, Department of NeurologyThe Johns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Joaquim Miguel Oliveira
- 3B's Research Group, I3Bs—Research Institute on Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative MedicineUniversity of MinhoGuimarãesPortugal
- ICVS/3B's—PT Government Associate LaboratoryBraga/GuimarãesPortugal
| | - Mike M. Modo
- Department of Bioengineering, McGowan Institute for Regenerative MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of Radiology, McGowan Institute for Regenerative MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Pedro Ramos‐Cabrer
- Magnetic Resonance Imaging LaboratoryCIC BiomaGUNE Research Center, Basque Research and Technology Alliance (BRTA)Donostia‐San SebastianSpain
| | - Karsten Ruscher
- Laboratory for Experimental Brain Research, Division of Neurosurgery, Department of Clinical SciencesLund UniversityLundSweden
| | - Weihong Song
- Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province. Zhejiang Clinical Research Center for Mental Disorders, School of Mental Health and The Affiliated Kangning Hospital, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health)Wenzhou Medical UniversityZhejiangChina
| | - Jun Wang
- Department of Neurology, Daping HospitalThird Military Medical UniversityChongqingChina
- Chongqing Key Laboratory of Ageing and Brain DiseasesChongqingChina
| | - Xuanyue Wang
- School of Optometry and Vision ScienceUniversity of New South WalesSydneyNew South WalesAustralia
| | - Yun Wang
- Neuroscience Research Institute, Department of Neurobiology, School of Basic, Medical Sciences, Key Laboratory for Neuroscience, Ministry of Education/National, Health Commission and State Key Laboratory of Natural and Biomimetic DrugsPeking UniversityBeijingChina
- PKU‐IDG/McGovern Institute for Brain ResearchPeking UniversityBeijingChina
| | - Haitao Wu
- Department of NeurobiologyBeijing Institute of Basic Medical SciencesBeijingChina
| | - Lize Xiong
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain‐Like Intelligence, Shanghai Fourth People's Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yi Yang
- Department of NeurologyThe First Hospital of Jilin University, Chang ChunJilinChina
| | - Keqiang Ye
- Faculty of Life and Health SciencesBrain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced TechnologyShenzhenChina
| | - Jin‐Tai Yu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Xin‐Fu Zhou
- Division of Health Sciences, School of Pharmacy and Medical Sciences and Sansom InstituteUniversity of South AustraliaAdelaideSouth AustraliaAustralia
- Suzhou Auzone BiotechSuzhouJiangsuChina
| | - Marietta Zille
- Department of Pharmaceutical Sciences, Division of Pharmacology and ToxicologyUniversity of ViennaViennaAustria
| | - Colin L. Masters
- The Florey InstituteThe University of Melbourne, ParkvilleVictoriaAustralia
| | - Piotr Walczak
- Department of Diagnostic Radiology and Nuclear MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | | | - Xunming Ji
- Department of NeurosurgeryXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Yan‐Jiang Wang
- Department of Neurology, Daping HospitalThird Military Medical UniversityChongqingChina
- Chongqing Key Laboratory of Ageing and Brain DiseasesChongqingChina
- Institute of Brain and IntelligenceThird Military Medical UniversityChongqingChina
- Guangyang Bay LaboratoryChongqing Institute for Brain and IntelligenceChongqingChina
- Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
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Liu Q, Ren Y, Jia H, Yuan H, Tong Y, Kotha S, Mao X, Huang Y, Chen C, Zheng Z, Wang L, He W. Vanadium Carbide Nanosheets with Broad-Spectrum Antioxidant Activity for Pulmonary Fibrosis Therapy. ACS Nano 2023; 17:22527-22538. [PMID: 37933888 DOI: 10.1021/acsnano.3c06105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Idiopathic pulmonary fibrosis is a chronic and highly lethal lung disease that largely results from oxidative stress; however, effective antioxidant therapy by targeting oxidative stress pathogenesis is still lacking. The big challenge is to develop an ideal antioxidant material with superior antifibrotic effects. Herein, we report that V4C3 nanosheets (NSs) can serve as a potential antioxidant for treatment of pulmonary fibrosis by scavenging reactive oxygen and nitrogen species. Interestingly, subtle autoxidation can adjust the valence composition of V4C3 NSs and significantly improve their antioxidant behavior. Valence engineering triggers multiple antioxidant mechanisms including electron transfer, H atom transfer, and enzyme-like catalysis, thus endowing V4C3 NSs with broad-spectrum, high-efficiency, and persistent antioxidant capacity. Benefiting from antioxidant properties and good biocompatibility, V4C3 NSs can significantly prevent myofibroblast proliferation and extracellular matrix abnormality, thus alleviating the progression of bleomycin-induced pulmonary fibrosis in vivo by scavenging ROS, anti-inflammation, and rebuilding antioxidant defenses. This study not only provides an important strategy for designing excellent antioxidant nanomaterials, but also proposes a proof-of-concept demonstration for the treatment of pulmonary fibrosis and other oxidative stress-related diseases.
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Affiliation(s)
- Quan Liu
- Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Institute of Surface Micro and Nano Materials, College of Chemical and Materials Engineering, Xuchang University, Xuchang, Henan 461000, P. R. China
- School of Materials, North China University of Water Resources and Electric Power, Zhengzhou, Henan 450045, P. R. China
| | - Yaping Ren
- Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Institute of Surface Micro and Nano Materials, College of Chemical and Materials Engineering, Xuchang University, Xuchang, Henan 461000, P. R. China
- Laboratory for NanoMedical Photonics, School of Basic Medical Science, Henan University, Zhengzhou 450046, P. R. China
| | - Huimin Jia
- Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Institute of Surface Micro and Nano Materials, College of Chemical and Materials Engineering, Xuchang University, Xuchang, Henan 461000, P. R. China
| | - Hao Yuan
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS-HKU Joint Laboratory of Metallomics on Health and Environment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yuping Tong
- School of Materials, North China University of Water Resources and Electric Power, Zhengzhou, Henan 450045, P. R. China
| | - Sumasri Kotha
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States
| | - Xiaobo Mao
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States
| | - Yongwei Huang
- Laboratory for NanoMedical Photonics, School of Basic Medical Science, Henan University, Zhengzhou 450046, P. R. China
| | - Chunying Chen
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
| | - Zhi Zheng
- Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Institute of Surface Micro and Nano Materials, College of Chemical and Materials Engineering, Xuchang University, Xuchang, Henan 461000, P. R. China
| | - Liming Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS-HKU Joint Laboratory of Metallomics on Health and Environment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Weiwei He
- Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Institute of Surface Micro and Nano Materials, College of Chemical and Materials Engineering, Xuchang University, Xuchang, Henan 461000, P. R. China
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10
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Shastry S, Hu J, Ying M, Mao X. Cell Therapy for Parkinson's Disease. Pharmaceutics 2023; 15:2656. [PMID: 38139997 PMCID: PMC10747991 DOI: 10.3390/pharmaceutics15122656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/05/2023] [Accepted: 11/15/2023] [Indexed: 12/24/2023] Open
Abstract
Parkinson's Disease (PD) is a neurodegenerative disease characterized by the progressive loss of dopaminergic neurons of the substantia nigra pars compacta with a reduction in dopamine concentration in the striatum. It is a substantial loss of dopaminergic neurons that is responsible for the classic triad of PD symptoms, i.e., resting tremor, muscular rigidity, and bradykinesia. Several current therapies for PD may only offer symptomatic relief and do not address the underlying neurodegeneration of PD. The recent developments in cellular reprogramming have enabled the development of previously unachievable cell therapies and patient-specific modeling of PD through Induced Pluripotent Stem Cells (iPSCs). iPSCs possess the inherent capacity for pluripotency, allowing for their directed differentiation into diverse cell lineages, such as dopaminergic neurons, thus offering a promising avenue for addressing the issue of neurodegeneration within the context of PD. This narrative review provides a comprehensive overview of the effects of dopamine on PD patients, illustrates the versatility of iPSCs and their regenerative abilities, and examines the benefits of using iPSC treatment for PD as opposed to current therapeutic measures. In means of providing a treatment approach that reinforces the long-term survival of the transplanted neurons, the review covers three supplementary avenues to reinforce the potential of iPSCs.
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Affiliation(s)
- Surabhi Shastry
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (S.S.); (J.H.)
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Junkai Hu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (S.S.); (J.H.)
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Mingyao Ying
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD 21205, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; (S.S.); (J.H.)
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
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11
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Hu H, Xu Z, Wei Y, Wang T, Zhao Y, Xu H, Mao X, Huang L. The Identification of Fritillaria Species Using Hyperspectral Imaging with Enhanced One-Dimensional Convolutional Neural Networks via Attention Mechanism. Foods 2023; 12:4153. [PMID: 38002210 PMCID: PMC10670081 DOI: 10.3390/foods12224153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/14/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
Combining deep learning and hyperspectral imaging (HSI) has proven to be an effective approach in the quality control of medicinal and edible plants. Nonetheless, hyperspectral data contains redundant information and highly correlated characteristic bands, which can adversely impact sample identification. To address this issue, we proposed an enhanced one-dimensional convolutional neural network (1DCNN) with an attention mechanism. Given an intermediate feature map, two attention modules are constructed along two separate dimensions, channel and spectral, and then combined to enhance relevant features and to suppress irrelevant ones. Validated by Fritillaria datasets, the results demonstrate that an attention-enhanced 1DCNN model outperforms several machine learning algorithms and shows consistent improvements over a vanilla 1DCNN. Notably under VNIR and SWIR lenses, the model obtained 98.97% and 99.35% for binary classification between Fritillariae Cirrhosae Bulbus (FCB) and other non-FCB species, respectively. Additionally, it still achieved an extraordinary accuracy of 97.64% and 98.39% for eight-category classification among Fritillaria species. This study demonstrated the application of HSI with artificial intelligence can serve as a reliable, efficient, and non-destructive quality control method for authenticating Fritillaria species. Moreover, our findings also illustrated the great potential of the attention mechanism in enhancing the performance of the vanilla 1DCNN method, providing reference for other HSI-related quality controls of plants with medicinal and edible uses.
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Affiliation(s)
- Huiqiang Hu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenyu Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Yunpeng Wei
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Tingting Wang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Yuping Zhao
- China Academy of Chinese Medical Sciences, Beijing 100070, China
| | - Huaxing Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaobo Mao
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Luqi Huang
- China Academy of Chinese Medical Sciences, Beijing 100070, China
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12
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Kang H, Park S, Jo A, Mao X, Kumar M, Park C, Ahn J, Lee Y, Choi J, Lee Y, Dawson VL, Dawson TM, Kam T, Shin J. PARIS undergoes liquid-liquid phase separation and poly(ADP-ribose)-mediated solidification. EMBO Rep 2023; 24:e56166. [PMID: 37870275 PMCID: PMC10626450 DOI: 10.15252/embr.202256166] [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: 09/20/2022] [Revised: 08/04/2023] [Accepted: 09/20/2023] [Indexed: 10/24/2023] Open
Abstract
ZNF746 was identified as parkin-interacting substrate (PARIS). Investigating its pathophysiological properties, we find that PARIS undergoes liquid-liquid phase separation (LLPS) and amorphous solid formation. The N-terminal low complexity domain 1 (LCD1) of PARIS is required for LLPS, whereas the C-terminal prion-like domain (PrLD) drives the transition from liquid to solid phase. In addition, we observe that poly(ADP-ribose) (PAR) strongly binds to the C-terminus of PARIS near the PrLD, accelerating its LLPS and solidification. N-Methyl-N'-nitro-N-nitrosoguanidine (MNNG)-induced PAR formation leads to PARIS oligomerization in human iPSC-derived dopaminergic neurons that is prevented by the PARP inhibitor, ABT-888. Furthermore, SDS-resistant PARIS species are observed in the substantia nigra (SN) of aged mice overexpressing wild-type PARIS, but not with a PAR binding-deficient PARIS mutant. PARIS solidification is also found in the SN of mice injected with preformed fibrils of α-synuclein (α-syn PFF) and adult mice with a conditional knockout (KO) of parkin, but not if α-syn PFF is injected into mice deficient for PARP1. Herein, we demonstrate that PARIS undergoes LLPS and PAR-mediated solidification in models of Parkinson's disease.
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Affiliation(s)
- Hojin Kang
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
- Single Cell Network Research CenterSungkyunkwan University School of MedicineSuwonSouth Korea
| | - Soojeong Park
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
| | - Areum Jo
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Manoj Kumar
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Chi‐Hu Park
- Neurodegeneration Research InstituteYEP Bio Co., Ltd.AnyangSouth Korea
| | - Jee‐Yin Ahn
- Single Cell Network Research CenterSungkyunkwan University School of MedicineSuwonSouth Korea
- Samsung Biomedical Research Institute, Samsung Medical CenterSeoulSouth Korea
| | - Yunjong Lee
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
- Samsung Biomedical Research Institute, Samsung Medical CenterSeoulSouth Korea
| | - Jeong‐Yun Choi
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
- Samsung Biomedical Research Institute, Samsung Medical CenterSeoulSouth Korea
| | - Yun‐Song Lee
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
- Samsung Biomedical Research Institute, Samsung Medical CenterSeoulSouth Korea
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of PhysiologyJohns Hopkins University School of MedicineBaltimoreMDUSA
- Solomon H. Snyder Department of NeuroscienceJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
- Solomon H. Snyder Department of NeuroscienceJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of Pharmacology and Molecular SciencesJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Tae‐In Kam
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of Brain and Cognitive SciencesKorea Advanced Institute of Science and TechnologyDaejeonSouth Korea
| | - Joo‐Ho Shin
- Department of PharmacologySungkyunkwan University School of MedicineSuwonSouth Korea
- Neuroregeneration and Stem Cell Programs, Institute for Cell EngineeringJohns Hopkins University School of MedicineBaltimoreMDUSA
- Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMDUSA
- Single Cell Network Research CenterSungkyunkwan University School of MedicineSuwonSouth Korea
- Samsung Biomedical Research Institute, Samsung Medical CenterSeoulSouth Korea
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13
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Hu H, Wang T, Wei Y, Xu Z, Cao S, Fu L, Xu H, Mao X, Huang L. Non-destructive prediction of isoflavone and starch by hyperspectral imaging and deep learning in Puerariae Thomsonii Radix. Front Plant Sci 2023; 14:1271320. [PMID: 37954990 PMCID: PMC10634472 DOI: 10.3389/fpls.2023.1271320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/03/2023] [Indexed: 11/14/2023]
Abstract
Accurate assessment of isoflavone and starch content in Puerariae Thomsonii Radix (PTR) is crucial for ensuring its quality. However, conventional measurement methods often suffer from time-consuming and labor-intensive procedures. In this study, we propose an innovative and efficient approach that harnesses hyperspectral imaging (HSI) technology and deep learning (DL) to predict the content of isoflavones (puerarin, puerarin apioside, daidzin, daidzein) and starch in PTR. Specifically, we develop a one-dimensional convolutional neural network (1DCNN) model and compare its predictive performance with traditional methods, including partial least squares regression (PLSR), support vector regression (SVR), and CatBoost. To optimize the prediction process, we employ various spectral preprocessing techniques and wavelength selection algorithms. Experimental results unequivocally demonstrate the superior performance of the DL model, achieving exceptional performance with mean coefficient of determination (R2) values surpassing 0.9 for all components. This research underscores the potential of integrating HSI technology with DL methods, thereby establishing the feasibility of HSI as an efficient and non-destructive tool for predicting the content of isoflavones and starch in PTR. Moreover, this methodology holds great promise for enhancing efficiency in quality control within the food industry.
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Affiliation(s)
- Huiqiang Hu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Tingting Wang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Yunpeng Wei
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Zhenyu Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Shiyu Cao
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Ling Fu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Huaxing Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Xiaobo Mao
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Luqi Huang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
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14
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Mao X, Mao S, Lu S. GTV Based Automatic Delineation of Clinical Target Volume for Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e694. [PMID: 37786037 DOI: 10.1016/j.ijrobp.2023.06.2171] [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) The delineation of gross tumor volume (GTV) and clinical target volume (CTV) are two critical steps in the radiotherapy planning for cervical cancer. GTV defines the primary treatment region for the gross tumor, while CTV is the area surrounding GTV that includes a certain probability (5% to 10%) of subclinical lesions. In contrast to GTV, CTV delineation relies on predefined and judgment-based boundaries, and the high variability among users makes this task particularly challenging. In this study, we evaluated the potential relationship between GTV and CTV and developed an automatic CTV delineation algorithm for cervical cancer based on the fusion of GTV information. We introduced position and shape constraints of GTV to improve the accuracy of CTV delineation. MATERIALS/METHODS The GTV-Net deep learning method was used to segment the CTV images of cervical cancer. The method aimed to use the delineation results of the GTV region for one-hot coding and add human anatomy experience in the clinical field to guide the CTV segmentation. This retrospective study included 545 cervical cancer patients who received radiation therapy from June 2017 to May 2019, including postoperative and radical treatment groups. The CTV and GTV regions were manually delineated by human experts. Numerous experiments were conducted to evaluate the performance of the network. First, compared with different network architectures, the Dice similarity coefficient (DSC) and 95% Hausdorff distance (95HD) of GTV-Net were both improved. Then, we compared the GTV-Net method with two resident physicians. Our GTV-Net method outperformed both resident physicians. RESULTS In the postoperative group, our method improved the DSC by 4% compared to 3D-UNet, reaching 76.55%, and increased by about 2.57% compared to V-Net's 73.98%, with an improvement of approximately 1.23% compared to the two resident physicians. In the radical treatment group, compared to 3D-UNet's 78.76%, our method increased the DSC by about 3.25%, reaching 82%, and increased by approximately 2.08% compared to V-Net's 79.92%, with an improvement of about 1.35% compared to the two resident physicians. Compared with 3D-UNet, the average 95HD in the postoperative group decreased from 1.489 to 1.457, and in the radical treatment group, it decreased from 1.454 to 1.433. The results of 95HD also showed some improvement compared to V-Net. CONCLUSION This study is the first to introduce GTV information for automatic segmentation of the clinical target area for cervical cancer. In this experiment, we observed a positive gain in CTV target automatic delineation guided by GTV information compared to solely performing CTV segmentation, with an improvement in Dice similarity of more than 4% and Hausdorff distance of more than 6% in the experimental dataset. In addition, GTV-guided CTV automatic delineation has also shown promising results on multicenter data, which will better serve the clinical field.
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Affiliation(s)
- X Mao
- Perception Vision Medical Technologies Co., Ltd., Guangzhou, Guangdong, China
| | - S Mao
- Perception Vision Medical Technologies Co., Ltd, Guangzhou, Guangdong, China
| | - S Lu
- Perception Vision Medical Technologies Co., Ltd., Guangzhou, Guangdong, China
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15
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Tian S, Liu Y, Mao X, Xu X, Wang C, Han G, Yang Y, Wang J, He SM, Zhang W. A Multicenter Study on Deep Learning for Glioblastoma Auto-Segmentation with Prior Knowledge in Multimodal Imaging. Int J Radiat Oncol Biol Phys 2023; 117:e488. [PMID: 37785541 DOI: 10.1016/j.ijrobp.2023.06.2299] [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) A precise radiotherapy plan is required to ensure accurate delineation of gross tumor volumes (GTV) and clinical target volumes (CTV1 and CTV2) of glioblastomas (GBMs). However, traditional manual delineation is labor intensive and highly dependent on oncologists' experience. To construct and evaluate a deep learning-based automatic delineation method using prior knowledge in multimodal medical imaging to automate precise GTV, CTV1 and CTV2 contouring in GBM patients. MATERIALS/METHODS We retrospectively collected the CT and MRI scans of 55 eligible patients with histologically proven high-grade glioma (HGG) from an institute, these scans were performed with non-enhanced CT (CT), contrast-enhanced T1-weighted (T1C) and T2-FLAIR (T2F) sequences. We proposed a two-stage automatic segmentation framework (PKMI-Net) for GTV, CTV1 and CTV2 based on deep learning using prior knowledge in multimodal medical imaging, and its segmentation performance was evaluated with dice similarity coefficient (DSC), 95% Harsdorff distance (HD95), average surface distance (ASD) and relative volume difference (RVD). To further investigate the generalizability of our method, we designed and conducted two evaluation strategies (Mix and Cross) on four multicenter datasets (including 55 patients, 37 patients, 21 patients and 35 patients). RESULTS The evaluation results with an 11-patient test set from the single institute were summarized in Table 1, the proposed method demonstrated the best accuracy in segmenting, respectively, GTV, CTV1 and CTV, achieving a DSC of 0.94, 0.95 and 0.92; HD95 of 2.07 mm, 1.18 mm and 3.80 mm; ASD of 0.69 mm, 0.39 mm and 1.13 mm and RVE of 5.50%, 3.97% and 9.68%. In the multicenter evaluation, the segmentation performance of our method implemented with the Cross strategy was comparable to that with the Mix strategy, demonstrating that our method had high and stable generalizability across multicenter datasets in automatically segmenting GTV, CTV1 and CTV2. CONCLUSION Our proposed method achieved promising results in automatically segmenting gliomas across various datasets, which could improve the quality and efficiency of glioblastoma radiotherapy.
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Affiliation(s)
- S Tian
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Y Liu
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - X Mao
- Radiotherapy Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - X Xu
- Department of Radiation Oncology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, China
| | - C Wang
- Department of Oncology, Sanya Central Hospital, Sanya, China
| | - G Han
- Department of Radiation Oncology, Hubei Cancer Hospital, Wuhan, China
| | - Y Yang
- Department of Radiation Oncology, Peking University International Hospital, Beijing, China
| | - J Wang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - S M He
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - W Zhang
- Shanghai United Imaging Healthcare Technology Co., Ltd, ShangHai, China
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16
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Wang T, Xu Z, Hu H, Xu H, Zhao Y, Mao X. Identification of Turtle-Shell Growth Year Using Hyperspectral Imaging Combined with an Enhanced Spatial-Spectral Attention 3DCNN and a Transformer. Molecules 2023; 28:6427. [PMID: 37687257 PMCID: PMC10490299 DOI: 10.3390/molecules28176427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023] Open
Abstract
Turtle shell (Chinemys reecesii) is a prized traditional Chinese dietary therapy, and the growth year of turtle shell has a significant impact on its quality attributes. In this study, a hyperspectral imaging (HSI) technique combined with a proposed deep learning (DL) network algorithm was investigated for the objective determination of the growth year of turtle shells. The acquisition of hyperspectral images was carried out in the near-infrared range (948.72-2512.97 nm) from samples spanning five different growth years. To fully exploit the spatial and spectral information while reducing redundancy in hyperspectral data simultaneously, three modules were developed. First, the spectral-spatial attention (SSA) module was developed to better protect the spectral correlation among spectral bands and capture fine-grained spatial information of hyperspectral images. Second, the 3D convolutional neural network (CNN), more suitable for the extracted 3D feature map, was employed to facilitate the joint spatial-spectral feature representation. Thirdly, to overcome the constraints of convolution kernels as well as better capture long-range correlation between spectral bands, the transformer encoder (TE) module was further designed. These modules were harmoniously orchestrated, driven by the need to effectively leverage both spatial and spectral information within hyperspectral data. They collectively enhance the model's capacity to extract joint spatial and spectral features to discern growth years accurately. Experimental studies demonstrated that the proposed model (named SSA-3DTE) achieved superior classification accuracy, with 98.94% on average for five-category classification, outperforming traditional machine learning methods using only spectral information and representative deep learning methods. Also, ablation experiments confirmed the effectiveness of each module to improve performance. The encouraging results of this study revealed the potentiality of HSI combined with the DL algorithm as an efficient and non-destructive method for the quality control of turtle shells.
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Affiliation(s)
- Tingting Wang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; (T.W.); (Z.X.); (H.H.)
| | - Zhenyu Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; (T.W.); (Z.X.); (H.H.)
| | - Huiqiang Hu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; (T.W.); (Z.X.); (H.H.)
| | - Huaxing Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; (T.W.); (Z.X.); (H.H.)
| | - Yuping Zhao
- China Academy of Chinese Medical Sciences, Beijing 100700, China;
| | - Xiaobo Mao
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; (T.W.); (Z.X.); (H.H.)
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou 450001, China
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Chen D, Xu Q, Mao X, Zhang J, Wu L. Reproductive history does not compromise subsequent live birth and perinatal outcome following in-vitro fertilization: analysis of 25 329 first frozen-thawed embryo transfer cycles without preimplantation genetic testing for aneuploidy. Ultrasound Obstet Gynecol 2023; 62:430-438. [PMID: 37058394 DOI: 10.1002/uog.26220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/22/2023] [Accepted: 03/30/2023] [Indexed: 05/29/2023]
Abstract
OBJECTIVE To investigate the effect of women's reproductive history on live-birth rate and perinatal outcome after first frozen-thawed embryo transfer (FET) without preimplantation genetic testing for aneuploidy. METHODS This was a retrospective cohort study of women who had undergone their first FET cycle between January 2014 and December 2020 at a university-affiliated fertility center. No transferred embryo underwent preimplantation genetic testing for aneuploidy. The women were categorized into five groups based on their reproductive history: no previous pregnancy; previous termination of pregnancy (TOP); previous pregnancy loss; previous ectopic pregnancy (EP); and previous live birth. The women with no previous pregnancy were considered as the reference group. The primary outcome was the live-birth rate and secondary endpoints included rates of positive pregnancy test, clinical pregnancy, pregnancy loss and EP as well as perinatal outcomes such as birth weight and preterm birth. Multivariable logistic regression analyses were used to control for a number of potential confounders, including age, body mass index, education level, duration and cause of infertility, insemination method, type of endometrial preparation, number of embryos transferred, embryo developmental stage, quality of the embryos transferred, year of treatment and endometrial thickness. Additionally, propensity score matching (PSM) was used to check the robustness of the main findings. RESULTS In total, 25 329 women were included in the final analysis. On univariate analysis, each reproductive-history type except for previous EP was significantly associated with worse pregnancy outcome following in-vitro fertilization (IVF), including rates of positive pregnancy test, clinical pregnancy, pregnancy loss and live birth, when compared with the group of women with no previous pregnancy. However, after correcting for several potential confounders, the differences in rates of live birth, pregnancy loss, positive pregnancy test and clinical pregnancy were no longer significant between the study and control groups on multivariable regression models, while the risk of EP after embryo transfer was elevated among women with a previous TOP or EP. There was no increased risk of adverse perinatal outcome associated with reproductive history compared with the control group. Notably, similar results were obtained from the PSM models, confirming the robustness of the main findings. CONCLUSION Relative to women without a previous pregnancy, those with a prior TOP, pregnancy loss, EP or live birth did not have compromised live-birth rate or perinatal outcomes following FET without preimplantation genetic testing for aneuploidy, with the exception of an increased risk of EP in those with prior TOP or EP. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- D Chen
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Q Xu
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - X Mao
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Zhang
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - L Wu
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhang X, Gao R, Zhang C, Teng Y, Chen H, Li Q, Liu C, Wu J, Wei L, Deng L, Wu L, Ye-Lehmann S, Mao X, Liu J, Zhu T, Chen C. Extracellular RNAs-TLR3 signaling contributes to cognitive impairment after chronic neuropathic pain in mice. Signal Transduct Target Ther 2023; 8:292. [PMID: 37544956 PMCID: PMC10404588 DOI: 10.1038/s41392-023-01543-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 06/01/2023] [Accepted: 06/12/2023] [Indexed: 08/08/2023] Open
Abstract
Chronic pain is often associated with cognitive decline, which could influence the quality of the patient's life. Recent studies have suggested that Toll-like receptor 3 (TLR3) is crucial for memory and learning. Nonetheless, the contribution of TLR3 to the pathogenesis of cognitive decline after chronic pain remains unclear. The level of TLR3 in hippocampal neurons increased in the chronic constriction injury (CCI) group than in the sham group in this study. Importantly, compared to the wild-type (WT) mice, TLR3 knockout (KO) mice and TLR3-specific neuronal knockdown mice both displayed improved cognitive function, reduced levels of inflammatory cytokines and neuronal apoptosis and attenuated injury to hippocampal neuroplasticity. Notably, extracellular RNAs (exRNAs), specifically double-stranded RNAs (dsRNAs), were increased in the sciatic nerve, serum, and hippocampus after CCI. The co-localization of dsRNA with TLR3 was also increased in hippocampal neurons. And the administration of poly (I:C), a dsRNA analog, elevated the levels of dsRNAs and TLR3 in the hippocampus, exacerbating hippocampus-dependent memory. In additon, the dsRNA/TLR3 inhibitor improved cognitive function after CCI. Together, our findings suggested that exRNAs, particularly dsRNAs, that were present in the condition of chronic neuropathic pain, activated TLR3, initiated downstream inflammatory and apoptotic signaling, caused damage to synaptic plasticity, and contributed to the etiology of cognitive impairment after chronic neuropathic pain.
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Affiliation(s)
- Xueying Zhang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Rui Gao
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Changteng Zhang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Teng
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Chen
- Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Qi Li
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Changliang Liu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Jiahui Wu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Liuxing Wei
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Liyun Deng
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Lining Wu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Shixin Ye-Lehmann
- Diseases and Hormones of the Nervous System, University of Paris-Scalay Bicêtre Hosptial, Le Kremlin-Bicêtre, France
| | - Xiaobo Mao
- Department of Neurology, Institute of Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, USA
| | - Jin Liu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Tao Zhu
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China.
| | - Chan Chen
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China.
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Mei A, Li T, Qiu L, Mao X, Liu Y. Cartilage transposition and anchoring: A surgical technique for the reconstruction of congenital tragal malformation in children. J Plast Reconstr Aesthet Surg 2023; 82:229-234. [PMID: 37201313 DOI: 10.1016/j.bjps.2023.04.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/11/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Because of the various types and complexity of congenital tragal malformation, tragal reconstruction is one of the most challenging objects in otoplasty. This study aimed to introduce a surgical technique of cartilage transposition and anchoring that was used to construct a cartilage framework for natural tragus reconstruction. METHODS A retrospective study was performed for 49 patients who underwent cartilage transposition and anchoring from January 2020 to August 2022. Gender, age, malformation, complication, operation record, preoperative and postoperative photograph, score of esthetic outcomes (4 = excellent, 3 = good, 2 = fair, 1 = poor), and Vancouver Scar Assessment score were reviewed. RESULTS Twenty-six boys and 23 girls with an average age of 35.79 ± 32.97 months underwent revision. The follow-up time was 13.87 ± 6.57 months. No complications were noted. The average score of esthetic outcomes and the Vancouver Scar Assessment score were 3.94 and 0.08 in the postoperative period, respectively. The overall effect was satisfactory. CONCLUSIONS Postoperative results showed that cartilage transposition and anchoring were effective techniques for the reconstruction of congenital tragal malformation. The use of cartilage and fascia tissue around the tragus to fill up the depression and reconstruct the tragus were the emphases. The remolded tragus showed less scars and had the similar appearance like the natural tragus of the patient.
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Affiliation(s)
- Ailian Mei
- Department of Burn and Plastic Surgery Children's Hospital of Chongqing Medical University, PR China; National Clinical Research Center for Child Health and Disorders, PR China; Ministry of Education Key Laboratory of Child Development and Disorders, PR China; Chongqing Key Laboratory of Pediatrics, PR China
| | - Tianwu Li
- Department of Burn and Plastic Surgery Children's Hospital of Chongqing Medical University, PR China; National Clinical Research Center for Child Health and Disorders, PR China; Ministry of Education Key Laboratory of Child Development and Disorders, PR China; Chongqing Key Laboratory of Pediatrics, PR China
| | - Lin Qiu
- Department of Burn and Plastic Surgery Children's Hospital of Chongqing Medical University, PR China; National Clinical Research Center for Child Health and Disorders, PR China; Ministry of Education Key Laboratory of Child Development and Disorders, PR China; Chongqing Key Laboratory of Pediatrics, PR China.
| | - Xiaobo Mao
- Department of Burn and Plastic Surgery Children's Hospital of Chongqing Medical University, PR China; National Clinical Research Center for Child Health and Disorders, PR China; Ministry of Education Key Laboratory of Child Development and Disorders, PR China; Chongqing Key Laboratory of Pediatrics, PR China
| | - Yan Liu
- Department of Burn and Plastic Surgery Children's Hospital of Chongqing Medical University, PR China; National Clinical Research Center for Child Health and Disorders, PR China; Ministry of Education Key Laboratory of Child Development and Disorders, PR China; Chongqing Key Laboratory of Pediatrics, PR China
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20
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Butler T, Wang XH, Chiang GC, Li Y, Zhou L, Xi K, Wickramasuriya N, Tanzi E, Spector E, Ozsahin I, Mao X, Razlighi QR, Fung EK, Dyke JP, Maloney T, Gupta A, Raj A, Shungu DC, Mozley PD, Rusinek H, Glodzik L. Choroid Plexus Calcification Correlates with Cortical Microglial Activation in Humans: A Multimodal PET, CT, MRI Study. AJNR Am J Neuroradiol 2023; 44:776-782. [PMID: 37321857 PMCID: PMC10337614 DOI: 10.3174/ajnr.a7903] [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: 01/11/2023] [Accepted: 05/04/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND AND PURPOSE The choroid plexus (CP) within the brain ventricles is well-known to produce cerebrospinal fluid (CSF). Recently, the CP has been recognized as critical in modulating inflammation. MRI-measured CP enlargement has been reported in neuroinflammatory disorders like MS as well as with aging and neurodegeneration. The basis of MRI-measured CP enlargement is unknown. On the basis of tissue studies demonstrating CP calcification as a common pathology associated with aging and disease, we hypothesized that previously unmeasured CP calcification contributes to MRI-measured CP volume and may be more specifically associated with neuroinflammation. MATERIALS AND METHODS We analyzed 60 subjects (43 healthy controls and 17 subjects with Parkinson's disease) who underwent PET/CT using 11C-PK11195, a radiotracer sensitive to the translocator protein expressed by activated microglia. Cortical inflammation was quantified as nondisplaceable binding potential. Choroid plexus calcium was measured via manual tracing on low-dose CT acquired with PET and automatically using a new CT/MRI method. Linear regression assessed the contribution of choroid plexus calcium, age, diagnosis, sex, overall volume of the choroid plexus, and ventricle volume to cortical inflammation. RESULTS Fully automated choroid plexus calcium quantification was accurate (intraclass correlation coefficient with manual tracing = .98). Subject age and choroid plexus calcium were the only significant predictors of neuroinflammation. CONCLUSIONS Choroid plexus calcification can be accurately and automatically quantified using low-dose CT and MRI. Choroid plexus calcification-but not choroid plexus volume-predicted cortical inflammation. Previously unmeasured choroid plexus calcium may explain recent reports of choroid plexus enlargement in human inflammatory and other diseases. Choroid plexus calcification may be a specific and relatively easily acquired biomarker for neuroinflammation and choroid plexus pathology in humans.
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Affiliation(s)
- T Butler
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - X H Wang
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - G C Chiang
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - Y Li
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - L Zhou
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - K Xi
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - N Wickramasuriya
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - E Tanzi
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - E Spector
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - I Ozsahin
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - X Mao
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
- Department of Radiology (X.M., E.K.F., J.P.D., D.C.S., P.D.M.), Weill Cornell Medicine, New York, New York
| | - Q R Razlighi
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - E K Fung
- Department of Radiology (X.M., E.K.F., J.P.D., D.C.S., P.D.M.), Weill Cornell Medicine, New York, New York
| | - J P Dyke
- Department of Radiology (X.M., E.K.F., J.P.D., D.C.S., P.D.M.), Weill Cornell Medicine, New York, New York
| | - T Maloney
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - A Gupta
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
| | - A Raj
- Department of Radiology (A.R.), University of California, San Francisco, San Francisco, California
| | - D C Shungu
- Department of Radiology (X.M., E.K.F., J.P.D., D.C.S., P.D.M.), Weill Cornell Medicine, New York, New York
| | - P D Mozley
- Department of Radiology (X.M., E.K.F., J.P.D., D.C.S., P.D.M.), Weill Cornell Medicine, New York, New York
| | - H Rusinek
- Department of Radiology (H.R.), New York University, New York, New York
| | - L Glodzik
- From the Brain Health Imaging Institute (T.B., X.H.W., G.C.C., Y.L., L.Z., K.X., N.W., E.T., E.S., I.O., X.M., Q.R.R., T.M., A.G., L.G.)
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Chen C, Kumbhar R, Wang H, Yang X, Gadhave K, Rastegar C, Kimura Y, Behensky A, Katakam S, Jeong D, Wang L, Wang A, Chen R, Zhang S, Jin L, Workman CJ, Vignali DA, Pletinkova O, Nauen DW, Wong PC, Troncoso JC, Ying M, Dawson VL, Dawson TM, Mao X. Pathological Tau transmission initiated by binding lymphocyte-activation gene 3. bioRxiv 2023:2023.05.16.541015. [PMID: 37293032 PMCID: PMC10245704 DOI: 10.1101/2023.05.16.541015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The spread of prion-like protein aggregates is believed to be a common driver of pathogenesis in many neurodegenerative diseases. Accumulated tangles of filamentous Tau protein are considered pathogenic lesions of Alzheimer's disease (AD) and related Tauopathies, including progressive supranuclear palsy, and corticobasal degeneration. Tau pathologies in these illnesses exhibits a clear progressive and hierarchical spreading pattern that correlates with disease severity1,2. Clinical observation combined with complementary experimental studies3,4 have shown that Tau preformed fibrils (PFF) are prion-like seeds that propagate pathology by entering cells and templating misfolding and aggregation of endogenous Tau. While several receptors of Tau are known, they are not specific to the fibrillar form of Tau. Moreover, the underlying cellular mechanisms of Tau PFF spreading remains poorly understood. Here, we show that the lymphocyte-activation gene 3 (Lag3) is a cell surface receptor that binds to PFF, but not monomer, of Tau. Deletion of Lag3 or inhibition of Lag3 in primary cortical neurons significantly reduces the internalization of Tau PFF and subsequent Tau propagation and neuron-to-neuron transmission. Propagation of Tau pathology and behavioral deficits induced by injection of Tau PFF in the hippocampus and overlying cortex are attenuated in mice lacking Lag3 selectively in neurons. Our results identify neuronal Lag3 as a receptor of pathologic Tau in the brain, and for AD and related Tauopathies a therapeutic target.
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Affiliation(s)
- Chan Chen
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ramhari Kumbhar
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hu Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xiuli Yang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kundlik Gadhave
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Cyrus Rastegar
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yasuyoshi Kimura
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Adam Behensky
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sruthi Katakam
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Deok Jeong
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Liang Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Anthony Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Rong Chen
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Shu Zhang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Lingtao Jin
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Creg J. Workman
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Dario A.A. Vignali
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
- Tumor Microenvironment Center, UPMC Hillman Cancer Center, Pittsburgh, PA 15213, USA
- Cancer Immunology and Immunotherapy Program, UPMC Hillman Cancer Center, Pittsburgh, PA 15213
| | - Olga Pletinkova
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - David W. Nauen
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Philip C. Wong
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Juan C. Troncoso
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Mingyao Ying
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Hugo W. Moser Research Institute at Kennedy Krieger, 707 North Broadway, Baltimore, MD 21205, USA
| | - Valina L. Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ted M. Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA
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22
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Jiang Y, Song L, Lin Y, Nowialis P, Gao Q, Li T, Li B, Mao X, Song Q, Xing C, Zheng G, Huang S, Jin L. ROS-mediated SRMS activation confers platinum resistance in ovarian cancer. Oncogene 2023; 42:1672-1684. [PMID: 37020040 PMCID: PMC10231978 DOI: 10.1038/s41388-023-02679-6] [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: 08/24/2022] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 04/07/2023]
Abstract
Ovarian cancer is the leading cause of death among gynecological malignancies. Checkpoint blockade immunotherapy has so far only shown modest efficacy in ovarian cancer and platinum-based chemotherapy remains the front-line treatment. Development of platinum resistance is one of the most important factors contributing to ovarian cancer recurrence and mortality. Through kinome-wide synthetic lethal RNAi screening combined with unbiased datamining of cell line platinum response in CCLE and GDSC databases, here we report that Src-Related Kinase Lacking C-Terminal Regulatory Tyrosine And N-Terminal Myristylation Sites (SRMS), a non-receptor tyrosine kinase, is a novel negative regulator of MKK4-JNK signaling under platinum treatment and plays an important role in dictating platinum efficacy in ovarian cancer. Suppressing SRMS specifically sensitizes p53-deficient ovarian cancer cells to platinum in vitro and in vivo. Mechanistically, SRMS serves as a "sensor" for platinum-induced ROS. Platinum treatment-induced ROS activates SRMS, which inhibits MKK4 kinase activity by directly phosphorylating MKK4 at Y269 and Y307, and consequently attenuates MKK4-JNK activation. Suppressing SRMS leads to enhanced MKK4-JNK-mediated apoptosis by inhibiting MCL1 transcription, thereby boosting platinum efficacy. Importantly, through a "drug repurposing" strategy, we uncovered that PLX4720, a small molecular selective inhibitor of B-RafV600E, is a novel SRMS inhibitor that can potently boost platinum efficacy in ovarian cancer in vitro and in vivo. Therefore, targeting SRMS with PLX4720 holds the promise to improve the efficacy of platinum-based chemotherapy and overcome chemoresistance in ovarian cancer.
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Affiliation(s)
- Yunhan Jiang
- Department of Molecular Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Lina Song
- Department of Molecular Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Yizhu Lin
- Department of Cell and Tissue Biology, School of Dentistry, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Pawel Nowialis
- Department of Molecular Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Qiongmei Gao
- Department of Molecular Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Tao Li
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Bin Li
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Xiaobo Mao
- Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Qianqian Song
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA
| | - Chengguo Xing
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL, 32610, USA
| | - Guangrong Zheng
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL, 32610, USA
| | - Shuang Huang
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Lingtao Jin
- Department of Molecular Medicine, Long School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
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23
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Liu Y, Qiu L, Zhou R, Zhu H, Fu Y, Ding X, Xiao J, Li T, Mao X, Mei A. [Treatment of mild hemifacial microsomia in children by autologous nano-fat mixed granule fat transplantation]. Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi 2023; 37:343-347. [PMID: 36940994 PMCID: PMC10027525 DOI: 10.7507/1002-1892.202211068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Objective To investigate the effectiveness of autologous nano-fat mixed granule fat transplantation in the treatment of facial soft tissue dysplasia in children with mild hemifacial microsomia (HFM). Methods A total of 24 children with Pruzansky-Kaban type Ⅰ HFM were admitted between July 2016 and December 2020. Among them, 12 children were treated with autologous nano-fat mixed granule fat (1∶1) transplantation as study group and 12 with autologous granule fat transplantation as control group. There was no significant difference in gender, age, and affected side between groups ( P>0.05). The child's face was divided into region Ⅰ(mental point-mandibular angle-oral angle), region Ⅱ (mandibular angle-earlobe-lateral border of the nasal alar-oral angle), region Ⅲ (earlobe-lateral border of the nasal alar-inner canthus-foot of ear wheel). Based on the preoperative maxillofacial CT scan+three-dimensional reconstruction data, the differences of soft tissue volume between the healthy and affected sides in the 3 regions were calculated by Mimics software to determine the amount of autologous fat extraction or grafting. The distances between mandibular angle and oral angle (mandibular angle-oral angle), between mandibular angle and outer canthus (mandibular angle-outer canthus), and between earlobe and lateral border of the nasal alar (earlobe-lateral border of the nasal alar), and the soft tissue volumes in regions Ⅰ, Ⅱ, and Ⅲ of healthy and affected sides were measured at 1 day before operation and 1 year after operation. The differences between healthy and affected sides of the above indicators were calculated as the evaluation indexes for statistical analysis. At 1 year after operation, the parents, the surgeons, and the nurses in the operation group made a self-assessment of satisfaction according to the frontal photos of the children before and after operation. Results The study group and the control group were injected with (28.61±8.59) and (29.33±8.08) mL of fat respectively, with no significant difference ( t=0.204, P=0.840). After injection, 1 child in the control group had a little subcutaneous induration, and no related complications occurred in the others. All children in both groups were followed up 1 year to 1 year and 6 months, with an average of 1 year and 4 months in the study group and 1 year and 3 months in the control group. At 1 year after operation, the asymmetry of the healthy and affected sides improved in both groups; the satisfactions of parents, surgeons, and nurses in the study group were all 100% (12/12), while those of the control group were 100% (12/12), 83% (10/12), and 92% (11/12), respectively. The differences between healthy and affected sides in mandibular angle-oral angle, mandibular angle-outer canthus, earlobe-lateral border of the nasal alar, and the soft tissue volume in 3 regions of the two groups after operation were significantly smaller than those before operation ( P<0.05). There was no significant difference in the above indexes between the two groups before operation ( P>0.05). After operation, all indexes were significantly lower in study group than in control group ( P<0.05). Conclusion Autologous nano-fat mixed granule fat transplantation and autologous granule fat transplantation can both improve the facial soft tissue dysplasia in children with mild HFM, and the former is better than the latter.
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Affiliation(s)
- Yan Liu
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Lin Qiu
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Rong Zhou
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Hai Zhu
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Yuexian Fu
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Xionghui Ding
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Jun Xiao
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Tianwu Li
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Xiaobo Mao
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
| | - Ailian Mei
- Department of Burn and Plastic, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, P. R. China
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24
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Wei Y, Hu H, Xu H, Mao X. Unsupervised Hyperspectral Band Selection via Multimodal Evolutionary Algorithm and Subspace Decomposition. Sensors (Basel) 2023; 23:2129. [PMID: 36850727 PMCID: PMC9960512 DOI: 10.3390/s23042129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Unsupervised band selection is an essential task to search for representative bands in hyperspectral dimension reduction. Most of existing studies utilize the inherent attribute of hyperspectral image (HSI) and acquire single optimal band subset while ignoring the diversity of subsets. Moreover, the ordered property in HSI is expected to be focused in order to avoid choosing redundant bands. In this paper, we proposed an unsupervised band selection method based on the multimodal evolutionary algorithm and subspace decomposition to alleviate the problems. To explore the diversity of band subsets, the multimodal evolutionary algorithm is first employed in spectral subspace decomposition to seek out multiple global or local solutions. Meanwhile, in view of ordered property, we concentrate more on increasing the difference between neighbor band subspaces. Furthermore, to utilize the obtained multiple diverse band subsets, an integrated utilization strategy is adopted to improve the predicted performance. Experimental results on three popular hyperspectral remote sensing datasets and one collected composition prediction dataset show the effectiveness of the proposed method, and the superiority over state-of-the-art methods on predicted accuracy.
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25
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Wu JY, Xu B, Zhu XJ, Ming X, Luo H, Mao X, Gu J, Zhou JF, Xiao Y. [PD-1 inhibitor in chronic active Epstein-Barr virus infection: a report of six cases and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:165-168. [PMID: 36948875 PMCID: PMC10033261 DOI: 10.3760/cma.j.issn.0253-2727.2023.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Affiliation(s)
- J Y Wu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - B Xu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - X J Zhu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - X Ming
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H Luo
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - X Mao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J Gu
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J F Zhou
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Xiao
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Chang J, Hu F, Xu H, Mao X, Zhao Y, Huang L. Towards Generating Realistic Wrist Pulse Signals Using Enhanced One Dimensional Wasserstein GAN. Sensors (Basel) 2023; 23:1450. [PMID: 36772488 PMCID: PMC9921956 DOI: 10.3390/s23031450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
For the past several years, there has been an increasing focus on deep learning methods applied into computational pulse diagnosis. However, one factor restraining its development lies in the small wrist pulse dataset, due to privacy risks or lengthy experiments cost. In this study, for the first time, we address the challenging by presenting a novel one-dimension generative adversarial networks (GAN) for generating wrist pulse signals, which manages to learn a mapping strategy from a random noise space to the original wrist pulse data distribution automatically. Concretely, Wasserstein GAN with gradient penalty (WGAN-GP) is employed to alleviate the mode collapse problem of vanilla GANs, which could be able to further enhance the performance of the generated pulse data. We compared our proposed model performance with several typical GAN models, including vanilla GAN, deep convolutional GAN (DCGAN) and Wasserstein GAN (WGAN). To verify the feasibility of the proposed algorithm, we trained our model with a dataset of real recorded wrist pulse signals. In conducted experiments, qualitative visual inspection and several quantitative metrics, such as maximum mean deviation (MMD), sliced Wasserstein distance (SWD) and percent root mean square difference (PRD), are examined to measure performance comprehensively. Overall, WGAN-GP achieves the best performance and quantitative results show that the above three metrics can be as low as 0.2325, 0.0112 and 5.8748, respectively. The positive results support that generating wrist pulse data from a small ground truth is possible. Consequently, our proposed WGAN-GP model offers a potential innovative solution to address data scarcity challenge for researchers working with computational pulse diagnosis, which are expected to improve the performance of pulse diagnosis algorithms in the future.
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Affiliation(s)
- Jiaxing Chang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Fei Hu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Huaxing Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaobo Mao
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Yuping Zhao
- Research Center for Intelligent Science and Engineering Technology of TCM, China Academy of Chinese Medical Sciences, Beijing 100000, China
| | - Luqi Huang
- Research Center for Intelligent Science and Engineering Technology of TCM, China Academy of Chinese Medical Sciences, Beijing 100000, China
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Hu F, Peng J, Niu Y, Mao X, Gu A, Zhao Y, Jiang L. EP08.01-038 Clinical Predictors of Treatment Efficacy in Patients with Lung Adenocarcinoma Receiving Immune Checkpoint Inhibitors. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.610] [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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28
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Bao MY, Xie HT, Gao P, Mao X, Li ZY, Wang WH, Sopheak S, Cheng HW, Ye L, Zhang X. Current diagnosis and potential obstacles for post-neurosurgical bacterial meningitis. Eur Rev Med Pharmacol Sci 2022; 26:6351-6360. [PMID: 36111937 DOI: 10.26355/eurrev_202209_29661] [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] [Indexed: 06/15/2023]
Abstract
Despite the guidance of aseptic technology applied, bacterial meningitis seems to be an unavoidable obstacle in the process of neurosurgery, with high rates of disability and mortality. The diagnosis of post-neurosurgical bacterial meningitis (PNBM) mainly depends both on clinical symptoms and laboratory outcomes. Due to the excessive neuro-inflammatory reactions which are evoked by the primary brain disease or the craniotomy operation, the symptoms derived from the infection and aseptic may not be easily distinguished. On the other hand, the low positive rate and time-consuming character restrict the clinical practical values of bacterial culture. Therefore, it is always difficult to make a definite diagnosis of post-neurosurgical bacterial meningitis. Here, we reviewed the established literature about the diagnostic biomarkers for the PNBM and analyzed the potential obstacles in both clinical and scientific studies. Given the obstacle which has negative impacts on further investigation about the biology of PNBM, we only find relatively small numbers of study on PNBM. In this review, we summarize the established diagnostic methods and biomarkers for PNBM. Meanwhile, we also propose some potential investigation prospects. This review may help to better understand the character of PNBM in both clinical diagnosis and scientific investigations.
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Affiliation(s)
- M-Y Bao
- Department of Neurosurgery, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
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29
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Panicker N, Kam TI, Wang H, Neifert S, Chou SC, Kumar M, Brahmachari S, Jhaldiyal A, Hinkle JT, Akkentli F, Mao X, Xu E, Karuppagounder SS, Hsu ET, Kang SU, Pletnikova O, Troncoso J, Dawson VL, Dawson TM. Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson's disease. Neuron 2022; 110:2422-2437.e9. [PMID: 35654037 PMCID: PMC9357148 DOI: 10.1016/j.neuron.2022.05.009] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [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: 06/22/2021] [Revised: 04/09/2022] [Accepted: 05/12/2022] [Indexed: 02/09/2023]
Abstract
Parkinson's disease (PD) is mediated, in part, by intraneuronal accumulation of α-synuclein aggregates andsubsequent death of dopamine (DA) neurons in the substantia nigra pars compacta (SNpc). Microglial hyperactivation of the NOD-like receptor protein 3 (NLRP3) inflammasome has been well-documented in various neurodegenerative diseases, including PD. We show here that loss of parkin activity in mouse and human DA neurons results in spontaneous neuronal NLRP3 inflammasome assembly, leading to DA neuron death. Parkin normally inhibits inflammasome priming by ubiquitinating and targeting NLRP3 for proteasomal degradation. Loss of parkin activity also contributes to the assembly of an active NLRP3 inflammasome complex via mitochondrial-derived reactive oxygen species (mitoROS) generation through the accumulation of another parkin ubiquitination substrate, ZNF746/PARIS. Inhibition of neuronal NLRP3 inflammasome assembly prevents degeneration of DA neurons in familial and sporadic PD models. Strategies aimed at limiting neuronal NLRP3 inflammasome activation hold promise as a disease-modifying therapy for PD.
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Affiliation(s)
- Nikhil Panicker
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tae-In Kam
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130, USA
| | - Hu Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130, USA
| | - Stewart Neifert
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130, USA
| | - Shih-Ching Chou
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Manoj Kumar
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Saurav Brahmachari
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Aanishaa Jhaldiyal
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jared T Hinkle
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Fatih Akkentli
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Enquan Xu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Senthilkumar S Karuppagounder
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Eric T Hsu
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sung-Ung Kang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Olga Pletnikova
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Juan Troncoso
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130, USA.
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130, USA.
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Wang L, Mao X. Recent advancements toward non-invasive imaging of retinal amyloid-beta for early detection of Alzheimer's disease. Neural Regen Res 2022; 17:1741-1742. [PMID: 35017427 PMCID: PMC8820724 DOI: 10.4103/1673-5374.332137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 07/27/2021] [Accepted: 08/05/2021] [Indexed: 11/04/2022] Open
Affiliation(s)
- Liang Wang
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Mao X, Zhao Y, Jiang J, Du Q, Tu B, Li J, Wang F. Sensitive and high-accuracy detection of Salmonella based on CRISPR/Cas12a combined with recombinase polymerase amplification. Lett Appl Microbiol 2022; 75:899-907. [PMID: 35694840 DOI: 10.1111/lam.13765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022]
Abstract
Salmonella is a crucial food-borne pathogen causing food poisoning, leading to severe public health events. Here, we developed a technique by integrating recombinase polymerase amplification with CRISPR-LbCas12a and employing two targets with engineered crRNA for detection of Salmonella (RPA-LbCas12a-TTECDS). Our findings revealed that this novel method rapidly detects trace Salmonella in food through fluorescence intensity and provides a template for other food-borne pathogen detection methods. Further, crRNA was optimized to increase detection sensitivity. Double targets were used to enhance the detection accuracy, reaching the level of qPCR, which was superior to fluorescent RPA. The RPA-LbCas12a-TTECDS system specifically detected Salmonella levels as low as 50 CFU per ml at 37°C in 1 h. In summary, a simple, rapid, sensitive and high accuracy detection technique based on CRISPR-Cas12a was created for Salmonella detection without complicated equipment.
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Affiliation(s)
- X Mao
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - Y Zhao
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - J Jiang
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - Q Du
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - B Tu
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - J Li
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
| | - F Wang
- Pathogen Inspection Center, Changzhou Center for Disease Prevention and Control, Changzhou, China
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32
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Mao X, He W, Eriksson M, Lindström L, Holowko N, Lagercrantz S, Humphreys K, Easton D, Hall P, Czene K. 133P Using breast cancer risk factors of women to estimate incidence of breast cancer in their sisters. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.151] [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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Li Q, Feng Y, Xue Y, Zhan X, Fu Y, Gui G, Zhou W, Richard JP, Taga A, Li P, Mao X, Maragakis NJ, Ying M. Edaravone activates the GDNF/RET neurotrophic signaling pathway and protects mRNA-induced motor neurons from iPS cells. Mol Neurodegener 2022; 17:8. [PMID: 35012575 PMCID: PMC8751314 DOI: 10.1186/s13024-021-00510-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 12/22/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Spinal cord motor neurons (MNs) from human iPS cells (iPSCs) have wide applications in disease modeling and therapeutic development for amyotrophic lateral sclerosis (ALS) and other MN-associated neurodegenerative diseases. We need highly efficient MN differentiation strategies for generating iPSC-derived disease models that closely recapitulate the genetic and phenotypic complexity of ALS. An important application of these models is to understand molecular mechanisms of action of FDA-approved ALS drugs that only show modest clinical efficacy. Novel mechanistic insights will help us design optimal therapeutic strategies together with predictive biomarkers to achieve better efficacy. METHODS We induce efficient MN differentiation from iPSCs in 4 days using synthetic mRNAs coding two transcription factors (Ngn2 and Olig2) with phosphosite modification. These MNs after extensive characterization were applied in electrophysiological and neurotoxicity assays as well as transcriptomic analysis, to study the neuroprotective effect and molecular mechanisms of edaravone, an FDA-approved drug for ALS, for improving its clinical efficacy. RESULTS We generate highly pure and functional mRNA-induced MNs (miMNs) from control and ALS iPSCs, as well as embryonic stem cells. Edaravone alleviates H2O2-induced neurotoxicity and electrophysiological dysfunction in miMNs, demonstrating its neuroprotective effect that was also found in the glutamate-induced miMN neurotoxicity model. Guided by the transcriptomic analysis, we show a previously unrecognized effect of edaravone to induce the GDNF receptor RET and the GDNF/RET neurotrophic signaling in vitro and in vivo, suggesting a clinically translatable strategy to activate this key neuroprotective signaling. Notably, edaravone can replace required neurotrophic factors (BDNF and GDNF) to support long-term miMN survival and maturation, further supporting the neurotrophic function of edaravone-activated signaling. Furthermore, we show that edaravone and GDNF combined treatment more effectively protects miMNs from H2O2-induced neurotoxicity than single treatment, suggesting a potential combination strategy for ALS treatment. CONCLUSIONS This study provides methodology to facilitate iPSC differentiation and disease modeling. Our discoveries will facilitate the development of optimal edaravone-based therapies for ALS and potentially other neurodegenerative diseases.
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Affiliation(s)
- Qian Li
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730 China
- Hugo W. Moser Research Institute at Kennedy Krieger, 707 North Broadway, Baltimore, MD 21205 USA
| | - Yi Feng
- Hugo W. Moser Research Institute at Kennedy Krieger, 707 North Broadway, Baltimore, MD 21205 USA
| | - Yingchao Xue
- Hugo W. Moser Research Institute at Kennedy Krieger, 707 North Broadway, Baltimore, MD 21205 USA
| | - Xiping Zhan
- Department of Physiology and Biophysics, Howard University, Washington, DC 20059 USA
| | - Yi Fu
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730 China
| | - Gege Gui
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 USA
| | - Weiqiang Zhou
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Jean-Philippe Richard
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Arens Taga
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Pan Li
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Xiaobo Mao
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Nicholas J. Maragakis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Mingyao Ying
- Hugo W. Moser Research Institute at Kennedy Krieger, 707 North Broadway, Baltimore, MD 21205 USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
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Seo BA, Kim D, Hwang H, Kim MS, Ma SX, Kwon SH, Kweon SH, Wang H, Yoo JM, Choi S, Kwon SH, Kang SU, Kam TI, Kim K, Karuppagounder SS, Kang BG, Lee S, Park H, Kim S, Yan W, Li YS, Kuo SH, Redding-Ochoa J, Pletnikova O, Troncoso JC, Lee G, Mao X, Dawson VL, Dawson TM, Ko HS. TRIP12 ubiquitination of glucocerebrosidase contributes to neurodegeneration in Parkinson's disease. Neuron 2021; 109:3758-3774.e11. [PMID: 34644545 DOI: 10.1016/j.neuron.2021.09.031] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 06/09/2021] [Accepted: 09/14/2021] [Indexed: 11/25/2022]
Abstract
Impairment in glucocerebrosidase (GCase) is strongly associated with the development of Parkinson's disease (PD), yet the regulators responsible for its impairment remain elusive. In this paper, we identify the E3 ligase Thyroid Hormone Receptor Interacting Protein 12 (TRIP12) as a key regulator of GCase. TRIP12 interacts with and ubiquitinates GCase at lysine 293 to control its degradation via ubiquitin proteasomal degradation. Ubiquitinated GCase by TRIP12 leads to its functional impairment through premature degradation and subsequent accumulation of α-synuclein. TRIP12 overexpression causes mitochondrial dysfunction, which is ameliorated by GCase overexpression. Further, conditional TRIP12 knockout in vitro and knockdown in vivo promotes the expression of GCase, which blocks α-synuclein preformed fibrils (α-syn PFFs)-provoked dopaminergic neurodegeneration. Moreover, TRIP12 accumulates in human PD brain and α-synuclein-based mouse models. The identification of TRIP12 as a regulator of GCase provides a new perspective on the molecular mechanisms underlying dysfunctional GCase-driven neurodegeneration in PD.
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Affiliation(s)
- Bo Am Seo
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Donghoon Kim
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pharmacology, Peripheral Neuropathy Research Center (PNRC), Dong-A University College of Medicine, Busan, Republic of Korea.
| | - Heehong Hwang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Min Seong Kim
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shi-Xun Ma
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Seung-Hwan Kwon
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sin Ho Kweon
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hu Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Je Min Yoo
- Department of Chemistry, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA; Department of Chemistry, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Seulah Choi
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sang Ho Kwon
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sung-Ung Kang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA, USA
| | - Tae-In Kam
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, USA
| | - Kwangsoo Kim
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Senthilkumar S Karuppagounder
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bong Gu Kang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Saebom Lee
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hyejin Park
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA, USA
| | - Sangjune Kim
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biology, Chungbuk National University, Cheongju, Chungbuk 28644, Republic of Korea
| | - Wei Yan
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yong-Shi Li
- Department of Neurology, Columbia University, New York, NY, USA
| | - Sheng-Han Kuo
- Department of Neurology, Columbia University, New York, NY, USA
| | - Javier Redding-Ochoa
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olga Pletnikova
- Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Juan C Troncoso
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gabsang Lee
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Physiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, USA
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA, USA.
| | - Han Seok Ko
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA, USA.
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Liu P, Wang P, Guo Y, Tang M, Song Y, Peng X, Wang W, Ji J, Chen Q, Mao X. Simulation of DNB-type critical heat flux (CHF) and pressure drop in subcooled flow boiling of water for tubes with twisted tape inserts under one-sided heating conditions. Fusion Engineering and Design 2021. [DOI: 10.1016/j.fusengdes.2021.112520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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36
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Jo A, Lee Y, Kam TI, Kang SU, Neifert S, Karuppagounder SS, Khang R, Kang H, Park H, Chou SC, Oh S, Jiang H, Swing DA, Ham S, Pirooznia S, Umanah GKE, Mao X, Kumar M, Ko HS, Kang HC, Lee BD, Lee YI, Andrabi SA, Park CH, Lee JY, Kim H, Kim H, Kim H, Cho JW, Paek SH, Na CH, Tessarollo L, Dawson VL, Dawson TM, Shin JH. PARIS farnesylation prevents neurodegeneration in models of Parkinson's disease. Sci Transl Med 2021; 13:13/604/eaax8891. [PMID: 34321320 PMCID: PMC9990146 DOI: 10.1126/scitranslmed.aax8891] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 12/09/2020] [Accepted: 05/20/2021] [Indexed: 12/18/2022]
Abstract
Accumulation of the parkin-interacting substrate (PARIS; ZNF746), due to inactivation of parkin, contributes to Parkinson's disease (PD) through repression of peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α; PPARGC1A) activity. Here, we identify farnesol as an inhibitor of PARIS. Farnesol promoted the farnesylation of PARIS, preventing its repression of PGC-1α via decreasing PARIS occupancy on the PPARGC1A promoter. Farnesol prevented dopaminergic neuronal loss and behavioral deficits via farnesylation of PARIS in PARIS transgenic mice, ventral midbrain transduction of AAV-PARIS, adult conditional parkin KO mice, and the α-synuclein preformed fibril model of sporadic PD. PARIS farnesylation is decreased in the substantia nigra of patients with PD, suggesting that reduced farnesylation of PARIS may play a role in PD. Thus, farnesol may be beneficial in the treatment of PD by enhancing the farnesylation of PARIS and restoring PGC-1α activity.
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Affiliation(s)
- Areum Jo
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea.,Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yunjong Lee
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea.,Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Tae-In Kam
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sung-Ung Kang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Stewart Neifert
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Senthilkumar S Karuppagounder
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Rin Khang
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Hojin Kang
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea.,Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hyejin Park
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Shih-Ching Chou
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sungtaek Oh
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Haisong Jiang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Deborah A Swing
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21705, USA
| | - Sangwoo Ham
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Sheila Pirooznia
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - George K E Umanah
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Manoj Kumar
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Han Seok Ko
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA
| | - Ho Chul Kang
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, South Korea
| | - Byoung Dae Lee
- Neurodegeneration Control Research Center, Department of Neuroscience, Department of Physiology, Kyung Hee University School of Medicine, Seoul 02447, South Korea
| | - Yun-Il Lee
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Shaida A Andrabi
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Chi-Hu Park
- Research Core Facility, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Ji-Yeong Lee
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Hanna Kim
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Hyein Kim
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea.,Research Core Facility, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Hyojung Kim
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea
| | - Jin Whan Cho
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea
| | - Sun Ha Paek
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul 03080, South Korea
| | - Chan Hyun Na
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Lino Tessarollo
- Neural Development Section, Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21705, USA
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. .,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Diana Helis Henry Medical Research Foundation, New Orleans, LA 70130-2685, USA.,Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Joo-Ho Shin
- Department of Pharmacology, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Suwon 16419, South Korea. .,Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.,Samsung Medical Center, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Seoul 06351, South Korea
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Cai Y, Zeng Q, Liu Y, Zhu R, Yu K, Xu W, Wang Y, Ding Y, Yu J, Pan C, Peng Y, Mao Y, Cheng P, Huang L, Mao X, Zhong Y. GARP and GARP-Treated tDC Prevented the Formation of Atherosclerotic Plaques in ApoE -/- Mice. J Inflamm Res 2021; 14:3465-3479. [PMID: 34326655 PMCID: PMC8314935 DOI: 10.2147/jir.s308963] [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: 04/08/2021] [Accepted: 07/01/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose This study aims to clarify the specific mechanism by which GARP affects the atherosclerotic plaques in ApoE−/- mice and the effect of GARP-tDC on atherosclerosis. Methods The mice were randomly divided into three groups: the control group, the GARP-overexpressed group and the GARP-inhibited group. After 12 weeks, all the mice were euthanized, and the specimens were collected. In vitro, experiments were conducted to observe the effect of GARP on DC phenotype and the changes of the proportion of CD4+CD25+Foxp3+ Treg cells when GARP-tDCs were co-cultured with CD4+ T cells. Furthermore, adoptive transmission of GARP-tDCs was used to observe the effect on atherosclerotic plaque in mice. Results The GARP-overexpressed group enhanced the biological activity of Foxp3+ CD4+CD25+ Tregs and resulted in increased expression of LAP in T cells. In addition, the GARP-overexpressed group significantly suppressed the function of Th1 and Th17, and decreased the secretion of INF-γ and IL-17A. Thus, GARP had a protective effect on atherosclerosis. In vitro, we found that GARP-tDC had a tolerance-inducing phenotype, and GARP-tDC also had the ability to induce tolerance when co-cultured with CD4+ T cells. More importantly, adoptive transmission of GARP-tDCs reduced the size of atherosclerotic plaques. Conclusion GARP and the GARP-tDC play protective roles in atherosclerosis. The protective effect of GARP on atherosclerosis is achieved by increasing CD4+CD25+Foxp3+ Treg cells and inhibiting the production of IFN-γ and IL-17A.
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Affiliation(s)
- Yifan Cai
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Qiutang Zeng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yuzhou Liu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, People's Republic of China
| | - Ruirui Zhu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Kunwu Yu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Wenbin Xu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yue Wang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yan Ding
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Jian Yu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Chengliang Pan
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yudong Peng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yi Mao
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Peng Cheng
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Lun Huang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Xiaobo Mao
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yucheng Zhong
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
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Zhang S, Liu YQ, Jia C, Lim YJ, Feng G, Xu E, Long H, Kimura Y, Tao Y, Zhao C, Wang C, Liu Z, Hu JJ, Ma MR, Liu Z, Jiang L, Li D, Wang R, Dawson VL, Dawson TM, Li YM, Mao X, Liu C. Mechanistic basis for receptor-mediated pathological α-synuclein fibril cell-to-cell transmission in Parkinson's disease. Proc Natl Acad Sci U S A 2021; 118:e2011196118. [PMID: 34172566 PMCID: PMC8256039 DOI: 10.1073/pnas.2011196118] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [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] [Indexed: 12/27/2022] Open
Abstract
The spread of pathological α-synuclein (α-syn) is a crucial event in the progression of Parkinson's disease (PD). Cell surface receptors such as lymphocyte activation gene 3 (LAG3) and amyloid precursor-like protein 1 (APLP1) can preferentially bind α-syn in the amyloid over monomeric state to initiate cell-to-cell transmission. However, the molecular mechanism underlying this selective binding is unknown. Here, we perform an array of biophysical experiments and reveal that LAG3 D1 and APLP1 E1 domains commonly use an alkaline surface to bind the acidic C terminus, especially residues 118 to 140, of α-syn. The formation of amyloid fibrils not only can disrupt the intramolecular interactions between the C terminus and the amyloid-forming core of α-syn but can also condense the C terminus on fibril surface, which remarkably increase the binding affinity of α-syn to the receptors. Based on this mechanism, we find that phosphorylation at serine 129 (pS129), a hallmark modification of pathological α-syn, can further enhance the interaction between α-syn fibrils and the receptors. This finding is further confirmed by the higher efficiency of pS129 fibrils in cellular internalization, seeding, and inducing PD-like α-syn pathology in transgenic mice. Our work illuminates the mechanistic understanding on the spread of pathological α-syn and provides structural information for therapeutic targeting on the interaction of α-syn fibrils and receptors as a potential treatment for PD.
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Affiliation(s)
- Shengnan Zhang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
| | - Yu-Qing Liu
- Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Chunyu Jia
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yeh-Jun Lim
- Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Guoqin Feng
- State Key Laboratory of Bio-organic Chemistry and Natural Products Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Enquan Xu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Houfang Long
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yasuyoshi Kimura
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Youqi Tao
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Chunyu Zhao
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chuchu Wang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhenying Liu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin-Jian Hu
- Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Meng-Rong Ma
- Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Zhijun Liu
- National Center for Protein Science Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Lin Jiang
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, CA 90095
| | - Dan Li
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Renxiao Wang
- State Key Laboratory of Bio-organic Chemistry and Natural Products Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, China
- Shanxi Key Laboratory of Innovative Drugs for the Treatment of Serious Diseases Based on Chronic Inflammation, College of Traditional Chinese Medicines, Shanxi University of Chinese Medicine, Taiyuan, Shanxi 030619, China
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205;
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA 70130
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Yan-Mei Li
- Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China;
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205;
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Cong Liu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China;
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Desrosiers M, Mannent LP, Amin N, Canonica GW, Hellings PW, Gevaert P, Mullol J, Lee SE, Fujieda S, Han JK, Hopkins C, Fokkens W, Jankowski R, Cho SH, Mao X, Zhang M, Rice MS, Khan AH, Kamat S, Patel N, Graham NMH, Ruddy M, Bachert C. Dupilumab reduces systemic corticosteroid use and sinonasal surgery rate in CRSwNP. Rhinology 2021; 59:301-311. [PMID: 33847325 DOI: 10.4193/rhin20.415] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Chronic rhinosinusitis with nasal polyps (CRSwNP) is a type 2 inflammatory disease with a high symptom burden and poor quality of life. Treatment options include recurrent surgeries and/or frequent systemic corticosteroids (SCS). Dupilumab, a fully human monoclonal antibody, blocks the shared receptor component for interleukin-4 and interleukin-13, key drivers of type 2-mediated inflammation. We report results of pooled analyses from 2 randomised, double-blind, placebo-controlled phase 3 studies (SINUS 24 [NCT02912468]; SINUS-52 [NCT02898454]) to evaluate dupilumab effect versus placebo in adults with CRSwNP with/without SCS use and sinonasal surgery. METHODOLOGY SINUS-24 patients were randomised 1:1 to subcutaneous dupilumab 300 mg (n=143) or placebo (n=133) every 2 weeks (q2w) for 24 weeks. SINUS-52 patients were randomised 1:1:1 to 52 weeks of subcutaneous dupilumab 300 mg q2w (n=150), 24 weeks q2w followed by 28 weeks of dupilumab 300 mg every 4 weeks (n=145) or 52 weeks of placebo q2w (n=153). RESULTS Dupilumab reduced the number of patients undergoing sinonasal surgery (82.6%), the need for in-study SCS use (73.9%), and SCS courses (75.3%). Significant improvements were observed with dupilumab vs placebo regardless of prior sinonasal surgery or SCS use in nasal polyp, nasal congestion, Lund-MacKay, and Sinonasal Outcome Test (22-items) scores, and the University of Pennsylvania Smell Identification Test. CONCLUSIONS Dupilumab demonstrated significant improvements in disease signs and symptoms and reduced the need for sino-nasal surgery and SCS use versus placebo in patients with severe CRSwNP, regardless of SCS use in the previous 2 years, or prior sinonasal surgery.
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Affiliation(s)
- M Desrosiers
- Centre de recherche du Centre hospitalier de l’Universite de Montreal (CRCHUM), Montreal, QC, Canada
| | | | - N Amin
- Regeneron Pharmaceuticals, Inc. Tarrytown, NY, USA
| | - G W Canonica
- Regeneron Pharmaceuticals, Inc. Tarrytown, NY, USA
| | | | | | - J Mullol
- Hospital Clinic, IDIBAPS, Universitat de Barcelona, CIBERES, Barcelona, Catalonia, Spain
| | - S E Lee
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | - J K Han
- Eastern Virginia Medical School, Norfolk, VA, USA
| | - C Hopkins
- Guy's and St Thomas' Hospitals, London, UK
| | - W Fokkens
- Academic Medical Center, Amsterdam, Netherlands
| | - R Jankowski
- University Hospital of Nancy, University of Lorraine, Nancy, France
| | - S H Cho
- University of South Florida, Tampa, FL, USA
| | - X Mao
- Sanofi, Bridgewater, NJ, USA
| | - M Zhang
- Sanofi, Bridgewater, NJ, USA
| | | | | | - S Kamat
- Regeneron Pharmaceuticals, Inc. Tarrytown, NY, USA
| | - N Patel
- Sanofi, Bridgewater, NJ, USA
| | - N M H Graham
- Regeneron Pharmaceuticals, Inc. Tarrytown, NY, USA
| | - M Ruddy
- Regeneron Pharmaceuticals, Inc. Tarrytown, NY, USA
| | - C Bachert
- Ghent University, Ghent, Belgium; Karolinska Institutet, Stockholm, Sweden; Sun Yat-sen University, First Affiliated Hospital, Guangzhou, China
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40
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Li A, Tyson J, Patel S, Patel M, Katakam S, Mao X, He W. Emerging Nanotechnology for Treatment of Alzheimer's and Parkinson's Disease. Front Bioeng Biotechnol 2021; 9:672594. [PMID: 34113606 PMCID: PMC8185219 DOI: 10.3389/fbioe.2021.672594] [Citation(s) in RCA: 10] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/06/2021] [Indexed: 01/21/2023] Open
Abstract
The prevalence of the two most common neurodegenerative diseases, Parkinson's disease (PD) and Alzheimer's Disease (AD), are expected to rise alongside the progressive aging of society. Both PD and AD are classified as proteinopathies with misfolded proteins α-synuclein, amyloid-β, and tau. Emerging evidence suggests that these misfolded aggregates are prion-like proteins that induce pathological cell-to-cell spreading, which is a major driver in pathogenesis. Additional factors that can further affect pathology spreading include oxidative stress, mitochondrial damage, inflammation, and cell death. Nanomaterials present advantages over traditional chemical or biological therapeutic approaches at targeting these specific mechanisms. They can have intrinsic properties that lead to a decrease in oxidative stress or an ability to bind and disaggregate fibrils. Additionally, nanomaterials enhance transportation across the blood-brain barrier, are easily functionalized, increase drug half-lives, protect cargo from immune detection, and provide a physical structure that can support cell growth. This review highlights emergent nanomaterials with these advantages that target oxidative stress, the fibrillization process, inflammation, and aid in regenerative medicine for both PD and AD.
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Affiliation(s)
- Amanda Li
- Washington University School of Medicine, St. Louis, MO, United States
| | - Joel Tyson
- Department of Chemical, Biochemical and Environmental Engineering, University of Maryland Baltimore County, Baltimore, MD, United States
| | - Shivni Patel
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Meer Patel
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Sruthi Katakam
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Weiwei He
- Key Laboratory of Micro-Nano Materials for Energy Storage and Conversion of Henan Province, Henan Joint International Research Laboratory of Nanomaterials for Energy and Catalysis, College of Chemical and Materials Engineering, Institute of Surface Micro and Nano Materials, Xuchang University, Xuchang, China
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Abstract
The incidence of pediatric treadmill hand friction burns has been increasing every year. The injuries are deeper than thermal hand burns, the optimal treatment remains unclear. This was a retrospective study of children who received surgery for treadmill hand friction burns from January 1, 2015, to December 31, 2019, in a single burn center. A total of 22 children were surveyed. The patients were naturally divided into two groups: the wound repair group (13 patients), which was admitted early to the hospital after injury and received debridement and vacuum sealing drainage initially, and a full-thickness skin graft later; and the scar repair group (9 patients), in which a scar contracture developed as a result of wound healing and received scar release and skin grafting later. The Modified Michigan Hand Questionnaire score in the wound repair group was 116.31 ± 10.55, and the corresponding score in the scar repair group was 117.56 ± 8.85 (P>0.05), no statistically significant difference. The Vancouver Scar Scale score in the wound repair group was 4.15 ± 1.21, and the corresponding score in the scar repair group was 7.22 ± 1.09 (P<0.05). Parents were satisfied with the postoperative appearance and function of the hand. None in the two groups required secondary surgery. If the burns are deep second degree, third degree, or infected, early debridement, vacuum sealing drainage initially, and a full-thickness skin graft can obviously relieve pediatric pain, shorten the course of the disease, and restore the function of the hand as soon as possible.
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Affiliation(s)
- Rong Zhou
- Department of Burns and Plastic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics
| | - Lin Qiu
- Department of Burns and Plastic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics
| | - Jun Xiao
- Department of Burns and Plastic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics
| | - Xiaobo Mao
- Department of Burns and Plastic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics
| | - Xingang Yuan
- Department of Burns and Plastic Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics
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Wang Z, Cheng L, Shang Z, Li Z, Zhao Y, Jin W, Li Y, Su F, Mao X, Chen C, Zhang J. Network Pharmacology for Analyzing the Key Targets and Potential Mechanism of Wogonin in Gliomas. Front Pharmacol 2021; 12:646187. [PMID: 33897434 PMCID: PMC8058408 DOI: 10.3389/fphar.2021.646187] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 02/24/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To analyze the key targets and potential mechanisms underlying the volatile components of Scutellaria baicalensis Georgi acting on gliomas through network pharmacology combined with biological experiments. Methods: We have extracted the volatile components of Scutellaria baicalensis by gas chromatography-mass spectrometry (GC-MS) and determined the active components related to the onset and development of gliomas by combining the results with the data from the Traditional Chinese Medicine Systems Pharmacology database. We screened the same targets for the extracted active components and gliomas through network pharmacology and then constructed a protein-protein interaction network. Using a Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, we analyzed the protein effects and regulatory pathways of the common targets. Lastly, we employed ELISA and Western blot in verifying the key targets in the regulatory pathway. Results: We ultimately determined that the active component in S. baicalensis Georgi related to the onset and development of gliomas was Wogonin. The results of the network pharmacology revealed 85 targets for glioma and Wogonin. We used gene ontology to analyze these target genes and found that they involved 30 functions, such as phosphatidylinositol phosphokinase activation, while the KEGG analysis showed that there were 10 regulatory pathways involved. Through the following analysis, we found that most of the key target genes are distributed in the PI3K-Akt and interleukin 17 signaling pathways. We then cultured U251 glioma cells for the experiments. Compared with the control group, no significant change was noted in the caspase-3 expression; however, cleaved caspase-3 expression increased significantly and was dose-dependent on Wogonin. The expression of Bad and Bcl-2 with 25 μM of Wogonin has remained unchanged, but when the Wogonin dose was increased to 100 μM, the expression of Bad and Bcl-2 was noted to change significantly (Bad was significantly upregulated, while Bcl-2 was significantly downregulated) and was dose-dependent on Wogonin. The ELISA results showed that, compared with the control group, the secretion of tumor necrosis factor alpha, IL-1β, and IL-6 decreased as the Wogonin concentration increased. Tumor necrosis factor alpha downregulation had no significant dose-dependent effect on Wogonin, the inhibitory effect of 25 μM of Wogonin on IL-6 was not significant, and IL-1β downregulation had a significant dose-dependent effect on Wogonin. Conclusion: Wogonin might promote the apoptosis of glioma cells by upregulating proapoptotic factors, downregulating antiapoptotic factors, and inhibiting the inflammatory response, thereby inhibiting glioma progression.
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Affiliation(s)
- Zaizhong Wang
- Medical Engineering Technology and Data Mining Institute, Zhengzhou University, Zhengzhou, China.,Department of Neurosurgery, Zhumadian Central Hospital, Zhumadian, China
| | - Lulu Cheng
- Digital Medical Laboratory, Zhumadian Central Hospital, Zhumadian, China
| | - Zhigang Shang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Zhihui Li
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Yuping Zhao
- Technology Department, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenwen Jin
- Medical Engineering Technology and Data Mining Institute, Zhengzhou University, Zhengzhou, China
| | - Yingyue Li
- Medical Engineering Technology and Data Mining Institute, Zhengzhou University, Zhengzhou, China
| | - Fangchu Su
- Medical Engineering Technology and Data Mining Institute, Zhengzhou University, Zhengzhou, China
| | - Xiaobo Mao
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Chuanliang Chen
- Clinical Bioinformatics Experimental Center, Henan Provincial People's Hospital, Zhengzhou, China
| | - Jianhua Zhang
- Medical Engineering Technology and Data Mining Institute, Zhengzhou University, Zhengzhou, China
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Xie SS, Chen TS, Deng QM, Li SS, Mao X, Wen C, Liu Q, Wang W, Lin P. [Effects of vestibular spontaneous nystagmus on visual smooth pursuit function]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2021; 56:280-284. [PMID: 33730812 DOI: 10.3760/cma.j.cn115330-20200325-00245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: The aim of the study is to analyze the effects of vestibular spontaneous nystagmus(SN) on the smooth pursuit function of visual ocularmotor system. Methods: A total of 46 patients with acute unilateral peripheral vestibular syndrome with SN (26 cases of vestibular neuritis, 6 cases of Ramsay Hunt Syndrome (RHS) with vertigo, 14 cases of sudden deafness with vertigo) were included in this work. In the study group, the results of SPT and SN test with videonystagmography(VNG) were also reviewed. Taking SPT parameters, the influence of SN intensity on SPT gain, asymmetry and waveform and their correlation were analyzed.SPSS19.0 software was used for statistical analysis. Results: Among the 46 patients, there were 36 cases of SN pointing to the healthy side(SN intensity range of 2.68°/s-32.53°/s), and 10 cases of SN pointing to the affected side (SN intensity range of 2.66°/s-16.54°/s). SN intensity was divided into 3 groups, including light(0.50°/s-5.00°/s), medium(5.01°/s-10.00°/s) and strong(>10.01°/s), accounting for 14 cases(30.4%), 18 cases(39.1%) and 14 cases(30.4%), respectively. The differences of the gain of SPT to the fast phase and slow phase direction in the overall groups and light, medium and strong groups of SN intensity respectively were statistically significant(ttotal=13.338, tlight=6.184, tmedium=8.436, tstrong=8.477, all of P<0.001). The difference of SPT gain in SN fast phase direction between groups with different SN intensity was statistically significant(F=9.639, P<0.001),there was no statistically significant difference in SPT gain between the groups on the SN slow phase direction(F=1.137, P=0.330).The SN intensity significantly negatively correlated with the SPT gain of the fast phase direction of SN (r=-0.433, P=0.003), that was, the SPT gain on the fast phase direction of SN decreased with the increase of SN intensity. There was no significant correlation between SN intensity and the gain of SPT on the slow phase direction of SN (r=-0.061, P=0.687). SPT waveform analysis showed that type I, type II and type III accounted for 8 cases(17.4%), 21 cases(45.6%) and 17 cases(37.0%), respectively. The corresponding mean values of SN intensity were (3.71±0.69)°/s, (7.44±1.88)°/s, (20.04±5.53)°/s, respectively, without type IV wave. The intensity of SN was positively correlated with the asymmetric value of the gain of SPT left and right(r=0.450,P=0.002). That was, with the increase of SN strength, the asymmetric value also increased, and the worse the asymmetry of the gain of SPT left and right pursuit was, the worse the SPT waveform was. Conclusion: SPT gain, asymmetry and SPT waveforms are all affected by SN, and the greater the intensity of SN, the greater the influence on the three. When SN is strong, type III waves may occur, suggesting that acute peripheral vestibular syndrome can also affect the visual ocularmotor systems.
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Affiliation(s)
- S S Xie
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - T S Chen
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - Q M Deng
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - S S Li
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - X Mao
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - C Wen
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - Q Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - W Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
| | - P Lin
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Tianjin Key Laboratory of Auditory Speech and Balance Medicine, Key Clinical Discipline of Tianjin (Otolaryngology), Otorhinolaryngology Clinical Quality Control Centre of Tianjin, Tianjin 300192, China
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Gu H, Yang X, Mao X, Xu E, Qi C, Wang H, Brahmachari S, York B, Sriparna M, Li A, Chang M, Patel P, Dawson VL, Dawson TM. Lymphocyte Activation Gene 3 (Lag3) Contributes to α-Synucleinopathy in α-Synuclein Transgenic Mice. Front Cell Neurosci 2021; 15:656426. [PMID: 33776654 PMCID: PMC7987675 DOI: 10.3389/fncel.2021.656426] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [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: 01/20/2021] [Accepted: 02/18/2021] [Indexed: 12/30/2022] Open
Abstract
Aggregation of misfolded α-synuclein (α-syn) is the major component of Lewy bodies and neurites in Parkinson's disease (PD) and related α-synucleinopathies. Some α-syn mutations (e.g., A53T) in familial PD recapitulate the α-syn pathology in transgenic mice, which supports the importance of pathologic α-syn in driving the pathogenesis of α-synucleinopathies. Lymphocyte activation gene 3 (Lag3) is a receptor of α-syn fibrils facilitating pathologic α-syn spread; however, the role of Lag3 in mediating the pathogenesis in α-syn transgenic mice is not clear. Here, we report that depletion of Lag3 in human α-syn A53T transgenic (hA53T) mice significantly reduces the level of detergent-insoluble α-syn aggregates and phosphorylated ser129 α-syn, and inhibits activation of microglia and astrocytes. The absence of Lag3 significantly delays disease progression and reduces the behavioral deficits in hA53T transgenic mice leading to prolonged survival. Taken together, these results show that Lag3 contributes to the pathogenesis in the α-syn A53T transgenic mouse model.
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Affiliation(s)
- Hao Gu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Xiuli Yang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Enquan Xu
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Chen Qi
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Haibo Wang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Saurav Brahmachari
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Bethany York
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Manjari Sriparna
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Amanda Li
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Michael Chang
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Pavan Patel
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Valina L. Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, United States
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Ted M. Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, United States
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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Xu J, Guo R, Li M, Xiang J, Lizaso A, Mao X, Ye J, Xu C, Chen K. P76.98 NSCLC Patients With Rare EGFR Mutations in Exons 18 and 19 Benefits From Treatment With EGFR Tyrosine Kinase Inhibitors. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1155] [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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46
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Rosenthal LS, Yang J, Mao X. Dysregulated miRNAs mark Parkinson's disease progression. Nat Aging 2021; 1:241-242. [PMID: 37118412 DOI: 10.1038/s43587-021-00046-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Liana S Rosenthal
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
| | - Jun Yang
- Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Xiaobo Mao
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Wang L, Mao X. Role of Retinal Amyloid-β in Neurodegenerative Diseases: Overlapping Mechanisms and Emerging Clinical Applications. Int J Mol Sci 2021; 22:2360. [PMID: 33653000 PMCID: PMC7956232 DOI: 10.3390/ijms22052360] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/23/2021] [Accepted: 02/23/2021] [Indexed: 02/03/2023] Open
Abstract
Amyloid-β (Aβ) accumulations have been identified in the retina for neurodegeneration-associated disorders like Alzheimer's disease (AD), glaucoma, and age-related macular degeneration (AMD). Elevated retinal Aβ levels were associated with progressive retinal neurodegeneration, elevated cerebral Aβ accumulation, and increased disease severity with a decline in cognition and vision. Retinal Aβ accumulation and its pathological effects were demonstrated to occur prior to irreversible neurodegeneration, which highlights its potential in early disease detection and intervention. Using the retina as a model of the brain, recent studies have focused on characterizing retinal Aβ to determine its applicability for population-based screening of AD, which warrants a further understanding of how Aβ manifests between these disorders. While current treatments directly targeting Aβ accumulations have had limited results, continued exploration of Aβ-associated pathological pathways may yield new therapeutic targets for preserving cognition and vision. Here, we provide a review on the role of retinal Aβ manifestations in these distinct neurodegeneration-associated disorders. We also discuss the recent applications of retinal Aβ for AD screening and current clinical trial outcomes for Aβ-associated treatment approaches. Lastly, we explore potential future therapeutic targets based on overlapping mechanisms of pathophysiology in AD, glaucoma, and AMD.
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Affiliation(s)
- Liang Wang
- Miller School of Medicine, University of Miami, Miami, FL 33136, USA;
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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Wang X, Mao X, Liang K, Chen X, Yue B, Yang Y. RIP3-mediated necroptosis was essential for spiral ganglion neuron damage. Neurosci Lett 2021; 744:135565. [PMID: 33359086 DOI: 10.1016/j.neulet.2020.135565] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 10/22/2022]
Abstract
To identify the role of RIP3 in ouabain-induced necroptosis and offer clinical implications to prevent spiral ganglion neurons (SGNs) from death, ouabain was applied in SGNs derived from fetal rats and injected into Sprague-Dawley rats to construct injury model in vitro and in vivo, respectively. The necroptosis rate of SGNs was determined by flow cytometry and MTT assays. The protein levels and phosphorylation of RIP3 were evaluated using western blotting and immunofluorescence. SGNs injury was observed using H&E staining and immunofluorescence. The hearing function of rats was evaluated by the auditory brainstem response (ABR) and Distortion Product Otoacoustic Emissions (DPOAE) methods. Ouabain caused dose-dependent necroptosis in SGNs and significant loss of SGNs of the cochlear axis in vivo. RIP3 and pRIP3 were upregulated with SGNs injury promoted, and RIP3 overexpression promoted ouabain-induced necroptosis in SGNs in vitro, which could be suppressed by necrostatin-1. RIP3 knockdown inhibited ouabain-induced necroptosis and reduced the phosphorylation of MLKL but no RIP3-dependent effect on the level of MLKL. RIP3 inhibition in vivo protected rats from ouabain-induced hearing damage with reducing ABR threshold shifts and promoting DPOAE amplitudes, while overexpression of RIP3 enhanced ouabain-induced injury that could be partially reversed by necrostatin-1. A decrease of SGNs density and an upregulation of pRIP3 were observed with RIP3 overexpression, which was in contrast when RIP3 was silenced. Therefore, RIP3 was essential for mediating necroptosis in ouabain-induced SGNs damage. Targeting RIP3 may prevent SGNs from death in clinical practice, and finally help the treatment of sensorineural hearing loss.
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Affiliation(s)
- Xi Wang
- Department of Otorhinolaryngology-Head and Neck Surgery, PLA Rocket Force Characteristic Medical Center, Beijing 100088, China
| | - Xiaobo Mao
- Department of Otorhinolaryngology-Head and Neck Surgery, The 928th Hospital of PLA Joint Logistics Support Force, Haikou 571159, Hainan Province, China
| | - Kun Liang
- Department of Otorhinolaryngology-Head and Neck Surgery, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi Province, China
| | - Xiaodong Chen
- Department of Otorhinolaryngology-Head and Neck Surgery, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi Province, China
| | - Bo Yue
- Department of Otorhinolaryngology-Head and Neck Surgery, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi Province, China.
| | - Yang Yang
- Department of Plastic Surgery, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi Province, China.
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Henrich MT, Geibl FF, Lakshminarasimhan H, Stegmann A, Giasson BI, Mao X, Dawson VL, Dawson TM, Oertel WH, Surmeier DJ. Determinants of seeding and spreading of α-synuclein pathology in the brain. Sci Adv 2020; 6:eabc2487. [PMID: 33177086 PMCID: PMC7673735 DOI: 10.1126/sciadv.abc2487] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 09/22/2020] [Indexed: 05/22/2023]
Abstract
In Parkinson's disease (PD), fibrillar forms of α-synuclein are hypothesized to propagate through synaptically coupled networks, causing Lewy pathology (LP) and neurodegeneration. To more rigorously characterize the determinants of spreading, preformed α-synuclein fibrils were injected into the mouse pedunculopontine nucleus (PPN), a brain region that manifests LP in PD patients and the distribution of developing α-synuclein pathology compared to that ascertained by anterograde and retrograde connectomic mapping. Within the PPN, α-synuclein pathology was cell-specific, being robust in PD-vulnerable cholinergic neurons but not in neighboring noncholinergic neurons. While nearly all neurons projecting to PPN cholinergics manifested α-synuclein pathology, the kinetics, magnitude, and persistence of the propagated pathology were unrelated to the strength of those connections. Thus, neuronal phenotype governs the somatodendritic uptake of pathological α-synuclein, and while the afferent connectome restricts the subsequent spreading of pathology, its magnitude and persistence is not a strict function of the strength of coupling.
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Affiliation(s)
- Martin T Henrich
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Neurology, Philipps University Marburg, Marburg 35043, Germany
| | - Fanni F Geibl
- Department of Neurology, Philipps University Marburg, Marburg 35043, Germany
| | - Harini Lakshminarasimhan
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Anna Stegmann
- Department of Neurology, Philipps University Marburg, Marburg 35043, Germany
| | - Benoit I Giasson
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA
| | - Xiaobo Mao
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Valina L Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ted M Dawson
- Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Wolfgang H Oertel
- Department of Neurology, Philipps University Marburg, Marburg 35043, Germany
| | - D James Surmeier
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
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50
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Lin Y, Xu J, Li X, Sheng H, Su L, Wu M, Cheng J, Huang Y, Mao X, Zhou Z, Zhang W, Li C, Cai Y, Wu D, Lu Z, Yin X, Zeng C, Liu L. Novel variants and uncommon cases among southern Chinese children with X-linked hypophosphatemia. J Endocrinol Invest 2020; 43:1577-1590. [PMID: 32253725 DOI: 10.1007/s40618-020-01240-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 03/24/2020] [Indexed: 12/17/2022]
Abstract
PURPOSE X-linked hypophosphatemia (XLH) is the most common inherited renal phosphate wasting disorder and is often misdiagnosed as vitamin D deficiency. This study aims to provide clinical and mutational characteristics of 65 XLH pediatric patients in southern China. METHODS In this work, a combination of DNA sequencing and qPCR analysis was used to study the PHEX gene in 80 pediatric patients diagnosed with hypophosphatemia. The clinical and laboratory data of confirmed 65 XLH patients were assessed and analyzed retrospectively. RESULTS In 65 XLH patients from 61 families, 51 different variants in the PHEX gene were identified, including 23 previously reported variants and 28 novel variants. In this cohort of XLH patients, the c.1601C>T(p.Pro534Leu) variant appears more frequently. Fourteen uncommon XLH cases were described, including four boys with de novo mosaic variants, eight patients with large deletions and a pair of monozygotic twins. The clinical manifestations in this cohort are very similar to those previously reported. CONCLUSION This study extends the mutational spectrum of the PHEX gene, which will contribute to accurate diagnosis. This study also suggests a supplementary qPCR or MLPA assay may be performed along with classical sequencing to confirm the gross insertion/deletion.
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Affiliation(s)
- Y Lin
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - J Xu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - X Li
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - H Sheng
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - L Su
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - M Wu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - J Cheng
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - Y Huang
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - X Mao
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - Z Zhou
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - W Zhang
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - C Li
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - Y Cai
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - D Wu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - Z Lu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - X Yin
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China
| | - C Zeng
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China.
| | - L Liu
- Department of Genetics and Endocrinology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Rd., Guangzhou, 510623, China.
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