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Mai H, Luo J, Hoeher L, Al-Maskari R, Horvath I, Chen Y, Kofler F, Piraud M, Paetzold JC, Modamio J, Todorov M, Elsner M, Hellal F, Ertürk A. Whole-body cellular mapping in mouse using standard IgG antibodies. Nat Biotechnol 2024; 42:617-627. [PMID: 37430076 PMCID: PMC11021200 DOI: 10.1038/s41587-023-01846-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 08/12/2022] [Accepted: 05/26/2023] [Indexed: 07/12/2023]
Abstract
Whole-body imaging techniques play a vital role in exploring the interplay of physiological systems in maintaining health and driving disease. We introduce wildDISCO, a new approach for whole-body immunolabeling, optical clearing and imaging in mice, circumventing the need for transgenic reporter animals or nanobody labeling and so overcoming existing technical limitations. We identified heptakis(2,6-di-O-methyl)-β-cyclodextrin as a potent enhancer of cholesterol extraction and membrane permeabilization, enabling deep, homogeneous penetration of standard antibodies without aggregation. WildDISCO facilitates imaging of peripheral nervous systems, lymphatic vessels and immune cells in whole mice at cellular resolution by labeling diverse endogenous proteins. Additionally, we examined rare proliferating cells and the effects of biological perturbations, as demonstrated in germ-free mice. We applied wildDISCO to map tertiary lymphoid structures in the context of breast cancer, considering both primary tumor and metastases throughout the mouse body. An atlas of high-resolution images showcasing mouse nervous, lymphatic and vascular systems is accessible at http://discotechnologies.org/wildDISCO/atlas/index.php .
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Affiliation(s)
- Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Medical Research School, Munich, Germany
- Deep Piction GmbH, Munich, Germany
| | - Jie Luo
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Deep Piction GmbH, Munich, Germany
| | - Luciano Hoeher
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Rami Al-Maskari
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Ying Chen
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Faculty of Medicine, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Florian Kofler
- Helmholtz Al, Helmholtz Center Munich, Neuherberg, Germany
- Department of Informatics, Technical University of Munich, Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marie Piraud
- Helmholtz Al, Helmholtz Center Munich, Neuherberg, Germany
| | - Johannes C Paetzold
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Department of Computing, Imperial College London, London, UK
| | - Jennifer Modamio
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Mihail Todorov
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Elsner
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
| | - Farida Hellal
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany.
- Institute for Stroke and Dementia Research, Medical Centre of the University of Munich, Ludwig-Maximilians University of Munich, Munich, Germany.
- Deep Piction GmbH, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Graduate School of Neuroscience (GSN), Munich, Germany.
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Affiliation(s)
- Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Center Munich, Neuherberg, Germany.
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3
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Wu Y, Huang X, Tan Z, Zang J, Peng M, He N, Zhang T, Mai H, Xu A, Lu D. FUS-mediated HypEVs: Neuroprotective effects against ischemic stroke. Bioact Mater 2023; 29:196-213. [PMID: 37621770 PMCID: PMC10444975 DOI: 10.1016/j.bioactmat.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 06/02/2023] [Accepted: 07/05/2023] [Indexed: 08/26/2023] Open
Abstract
Few studies have investigated the properties and protein composition of small extracellular vesicles (sEVs) derived from neurons under hypoxic conditions. Presently, the extent of the involvement of these plentiful sEVs in the onset and progression of ischemic stroke remains an unresolved question. Our study systematically identified the characteristics of sEVs derived from neurons under hypoxic conditions (HypEVs) by physical characterization, sEV absorption, proteomics and transcriptomics analysis. The effects of HypEVs on neurites, cell survival, and neuron structure were assessed in vitro and in vivo by neural complexity tests, magnetic resonance imaging (MRI), Golgi staining, and Western blotting of synaptic plasticity-related proteins and apoptotic proteins. Knockdown of Fused in Sarcoma (FUS) small interfering RNA (siRNA) was used to validate FUS-mediated HypEV neuroprotection and mitochondrial mRNA release. Hypoxia promoted the secretion of sEVs, and HypEVs were more easily taken up and utilized by recipient cells. The MRI results illustrated that the cerebral infarction volume was reduced by 45% with the application of HypEVs, in comparison to the non- HypEV treatment group. Mechanistically, the FUS protein is necessary for the uptake and neuroprotection of HypEVs against ischemic stroke as well as carrying a large amount of mitochondrial mRNA in HypEVs. However, FUS knockdown attenuated the neuroprotective rescue capabilities of HypEVs. Our comprehensive dataset clearly illustrates that FUS-mediated HypEVs deliver exceptional neuroprotective effects against ischemic stroke, primarily through the maintenance of neurite integrity and the reduction of mitochondria-associated apoptosis.
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Affiliation(s)
- Yousheng Wu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Key Lab of Guangzhou Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiaoxiong Huang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Neurology and Stroke Center, The Central Hospital of Shaoyang, Hunan, China
| | - Zefeng Tan
- Department of Neurology, The First People's Hospital of Foshan, Guangdong, China
| | - Jiankun Zang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Key Lab of Guangzhou Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Min Peng
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Key Lab of Guangzhou Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Niu He
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Key Lab of Guangzhou Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Tao Zhang
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hongcheng Mai
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany
| | - Anding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Key Lab of Guangzhou Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Dan Lu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Key Lab of Guangzhou Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, China
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4
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Kolabas ZI, Kuemmerle LB, Perneczky R, Förstera B, Ulukaya S, Ali M, Kapoor S, Bartos LM, Büttner M, Caliskan OS, Rong Z, Mai H, Höher L, Jeridi D, Molbay M, Khalin I, Deligiannis IK, Negwer M, Roberts K, Simats A, Carofiglio O, Todorov MI, Horvath I, Ozturk F, Hummel S, Biechele G, Zatcepin A, Unterrainer M, Gnörich J, Roodselaar J, Shrouder J, Khosravani P, Tast B, Richter L, Díaz-Marugán L, Kaltenecker D, Lux L, Chen Y, Zhao S, Rauchmann BS, Sterr M, Kunze I, Stanic K, Kan VWY, Besson-Girard S, Katzdobler S, Palleis C, Schädler J, Paetzold JC, Liebscher S, Hauser AE, Gokce O, Lickert H, Steinke H, Benakis C, Braun C, Martinez-Jimenez CP, Buerger K, Albert NL, Höglinger G, Levin J, Haass C, Kopczak A, Dichgans M, Havla J, Kümpfel T, Kerschensteiner M, Schifferer M, Simons M, Liesz A, Krahmer N, Bayraktar OA, Franzmeier N, Plesnila N, Erener S, Puelles VG, Delbridge C, Bhatia HS, Hellal F, Elsner M, Bechmann I, Ondruschka B, Brendel M, Theis FJ, Erturk A. Distinct molecular profiles of skull bone marrow in health and neurological disorders. Cell 2023; 186:3706-3725.e29. [PMID: 37562402 PMCID: PMC10443631 DOI: 10.1016/j.cell.2023.07.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 04/24/2023] [Accepted: 07/07/2023] [Indexed: 08/12/2023]
Abstract
The bone marrow in the skull is important for shaping immune responses in the brain and meninges, but its molecular makeup among bones and relevance in human diseases remain unclear. Here, we show that the mouse skull has the most distinct transcriptomic profile compared with other bones in states of health and injury, characterized by a late-stage neutrophil phenotype. In humans, proteome analysis reveals that the skull marrow is the most distinct, with differentially expressed neutrophil-related pathways and a unique synaptic protein signature. 3D imaging demonstrates the structural and cellular details of human skull-meninges connections (SMCs) compared with veins. Last, using translocator protein positron emission tomography (TSPO-PET) imaging, we show that the skull bone marrow reflects inflammatory brain responses with a disease-specific spatial distribution in patients with various neurological disorders. The unique molecular profile and anatomical and functional connections of the skull show its potential as a site for diagnosing, monitoring, and treating brain diseases.
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Affiliation(s)
- Zeynep Ilgin Kolabas
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Louis B Kuemmerle
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Robert Perneczky
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336 Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Benjamin Förstera
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Selin Ulukaya
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Mayar Ali
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Saketh Kapoor
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Laura M Bartos
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Maren Büttner
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ozum Sehnaz Caliskan
- Institute for Diabetes and Obesity, Helmholtz Center Munich and German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Zhouyi Rong
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Luciano Höher
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Denise Jeridi
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Muge Molbay
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Igor Khalin
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | | | - Moritz Negwer
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | | | - Alba Simats
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Olga Carofiglio
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Mihail I Todorov
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Izabela Horvath
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; School of Computation, Information and Technology (CIT), TUM, Boltzmannstr. 3, 85748 Garching, Germany
| | - Furkan Ozturk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Selina Hummel
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Gloria Biechele
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Artem Zatcepin
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany; Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Jay Roodselaar
- Charité - Universitätsmedizin Berlin, Department of Rheumatology and Clinical Immunology, Berlin, Germany; Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Joshua Shrouder
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Pardis Khosravani
- Biomedical Center (BMC), Core Facility Flow Cytometry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Benjamin Tast
- Biomedical Center (BMC), Core Facility Flow Cytometry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Lisa Richter
- Biomedical Center (BMC), Core Facility Flow Cytometry, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Laura Díaz-Marugán
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Doris Kaltenecker
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Diabetes and Cancer, Helmholtz Munich, Munich, Germany
| | - Laurin Lux
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Ying Chen
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Shan Zhao
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336 Munich, Germany; Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK; Institute of Neuroradiology, University Hospital LMU, Munich, Germany
| | - Michael Sterr
- Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Stem Cell Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Ines Kunze
- Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Stem Cell Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Karen Stanic
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Vanessa W Y Kan
- Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany
| | - Simon Besson-Girard
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Sabrina Katzdobler
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Carla Palleis
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Julia Schädler
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johannes C Paetzold
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Department of Computing, Imperial College London, London, UK
| | - Sabine Liebscher
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Anja E Hauser
- Charité - Universitätsmedizin Berlin, Department of Rheumatology and Clinical Immunology, Berlin, Germany; Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Ozgun Gokce
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Heiko Lickert
- Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Zentrum München, Neuherberg, Germany; Institute of Stem Cell Research, Helmholtz Zentrum München, Neuherberg, Germany; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Corinne Benakis
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Christian Braun
- Institute of Legal Medicine, Faculty of Medicine, LMU Munich, Germany
| | - Celia P Martinez-Jimenez
- Helmholtz Pioneer Campus (HPC), Helmholtz Munich, Neuherberg, Germany; TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Günter Höglinger
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Christian Haass
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Martin Kerschensteiner
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute of Clinical Neuroimmunology, University Hospital Munich, Ludwig-Maximilians University Munich, Munich, Germany; Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians Universität Munich, Munich, Germany
| | - Martina Schifferer
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Arthur Liesz
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Natalie Krahmer
- Institute for Diabetes and Obesity, Helmholtz Center Munich and German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | | | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Suheda Erener
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Victor G Puelles
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
| | - Claire Delbridge
- Institute of Pathology, Department of Neuropathology, Technical University Munich, TUM School of Medicine, Munich, Germany
| | - Harsharan Singh Bhatia
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Farida Hellal
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Elsner
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Benjamin Ondruschka
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Brendel
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Department of Mathematics, Technische Universität München, Garching bei München, Germany
| | - Ali Erturk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany; Institute for Stroke and Dementia Research, LMU University Hospital, Ludwig-Maximilians University Munich, Munich, Germany; Graduate School of Systemic Neurosciences (GSN), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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5
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Mai H, Zhang T, Zhang T, Lu A, Wu Z, Yang B, He N, Liu X, Tsang CK, Xu A, Lu D. Spatial Proteomics Analysis of Soft and Stiff Regions in Human Acute Arterial Thrombus. Stroke 2023; 54:1636-1644. [PMID: 37051909 DOI: 10.1161/strokeaha.123.042486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
BACKGROUND The soft regions of a thrombus tend to be more susceptible to r-tPA (recombinant tissue-type plasminogen activator)-mediated thrombolysis and are more easily removed by mechanical thrombectomy than the stiff counterpart. This study aimed to understand the molecular pathological differences between the soft and stiff regions of human arterial thrombus. METHODS We developed a spatial proteomic workflow combining proteomics with laser-captured microdissection to analyze human arterial thrombi with Masson trichrome staining to identify stiff and soft regions from 2 independent cohorts of patients with acute myocardial or cerebral infarction. Dysregulated proteins in a C57BL6/J male mouse model of arterial thrombosis were identified by pathway enrichment and pairwise analyses from the common gene ontology enrichment and dysregulated proteins between carotid and coronary arterial thrombi, and validated by immunohistochemistry. RESULTS Spatial proteomics of the coronary arterial thrombi collected from 7 patients with myocardial infarct revealed 7 common dysregulated proteins in 2 cohorts of patients, and upregulation of TGF-β1 (transforming growth factor β1) was the most prominent fibrosis-related protein. Inhibition of TGF-β1 resulted in delayed arterial thrombosis and accelerated blood flow restoration in mouse model. We further expanded the spatial proteomic workflow to the carotid artery thrombi collected from 11 patients with cerebral infarction. Pairwise proteomic analysis of stiff and soft regions between carotid and coronary arterial thrombi further revealed 5 common gene ontology clusters including features of platelet activation, and a common dysregulated protein COL1A1 (collagen type 1 alpha 1) that was reported to be influenced by TGF-β1. We also verified the expression in human and mice carotid arterial thrombi. CONCLUSIONS This study demonstrates the spatially distinct composition of proteins in the stiff and soft regions of human arterial thrombi, and suggests that TGF-β1 is a key therapeutic target for promoting arterial thrombolysis.
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Affiliation(s)
- Hongcheng Mai
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
- Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Germany (H.M.)
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Germany (H.M.)
| | - Tianyuan Zhang
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
| | - Tao Zhang
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, China. (Tao Zhang)
| | - Aijun Lu
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
| | - Zhengdong Wu
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China. (Z.W., X.L.)
| | - Bing Yang
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
| | - Niu He
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
| | - Xiaoyan Liu
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China. (Z.W., X.L.)
| | - Chi Kwan Tsang
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
| | - Anding Xu
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
| | - Dan Lu
- Department of Neurology and Stroke Center (H.M., Tianyuan Zhang, A.L., B.Y., N.H., X.L., A.X., D.L.)
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China. (H.M., Tianyuan Zhang, A.L., X.L., C.K.T., A.X., D.L.)
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6
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Cai R, Kolabas ZI, Pan C, Mai H, Zhao S, Kaltenecker D, Voigt FF, Molbay M, Ohn TL, Vincke C, Todorov MI, Helmchen F, Van Ginderachter JA, Ertürk A. Whole-mouse clearing and imaging at the cellular level with vDISCO. Nat Protoc 2023; 18:1197-1242. [PMID: 36697871 DOI: 10.1038/s41596-022-00788-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 10/20/2022] [Indexed: 01/26/2023]
Abstract
Homeostatic and pathological phenomena often affect multiple organs across the whole organism. Tissue clearing methods, together with recent advances in microscopy, have made holistic examinations of biological samples feasible. Here, we report the detailed protocol for nanobody(VHH)-boosted 3D imaging of solvent-cleared organs (vDISCO), a pressure-driven, nanobody-based whole-body immunolabeling and clearing method that renders whole mice transparent in 3 weeks, consistently enhancing the signal of fluorescent proteins, stabilizing them for years. This allows the reliable detection and quantification of fluorescent signal in intact rodents enabling the analysis of an entire body at cellular resolution. Here, we show the high versatility of vDISCO applied to boost the fluorescence signal of genetically expressed reporters and clear multiple dissected organs and tissues, as well as how to image processed samples using multiple fluorescence microscopy systems. The entire protocol is accessible to laboratories with limited expertise in tissue clearing. In addition to its applications in obtaining a whole-mouse neuronal projection map, detecting single-cell metastases in whole mice and identifying previously undescribed anatomical structures, we further show the visualization of the entire mouse lymphatic system, the application for virus tracing and the visualization of all pericytes in the brain. Taken together, our vDISCO pipeline allows systematic and comprehensive studies of cellular phenomena and connectivity in whole bodies.
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Affiliation(s)
- Ruiyao Cai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Zeynep Ilgin Kolabas
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Chenchen Pan
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Shan Zhao
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Doris Kaltenecker
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany.,Institute for Diabetes and Cancer, Helmholtz Munich, Munich, Germany
| | - Fabian F Voigt
- Brain Research Institute, University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Muge Molbay
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Tzu-Lun Ohn
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Cécile Vincke
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.,Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium
| | - Mihail I Todorov
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Jo A Van Ginderachter
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.,Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Munich, Munich, Germany. .,Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich, Munich, Germany. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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7
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Lin Y, Wilk U, Pöhmerer J, Hörterer E, Höhn M, Luo X, Mai H, Wagner E, Lächelt U. Folate Receptor-Mediated Delivery of Cas9 RNP for Enhanced Immune Checkpoint Disruption in Cancer Cells. Small 2023; 19:e2205318. [PMID: 36399647 DOI: 10.1002/smll.202205318] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/17/2022] [Indexed: 06/16/2023]
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) system offers great opportunities for the treatment of numerous diseases by precise modification of the genome. The functional unit of the system is represented by Cas9/sgRNA ribonucleoproteins (RNP), which mediate sequence-specific cleavage of DNA. For therapeutic applications, efficient and cell-specific transport into target cells is essential. Here, Cas9 RNP nanocarriers are described, which are based on lipid-modified oligoamino amides and folic acid (FolA)-PEG to realize receptor-mediated uptake and gene editing in cancer cells. In vitro studies confirm strongly enhanced potency of receptor-mediated delivery, and the nanocarriers enable efficient knockout of GFP and two immune checkpoint genes, PD-L1 and PVR, at low nanomolar concentrations. Compared with non-targeted nanoparticles, FolA-modified nanocarriers achieve substantially higher gene editing including dual PD-L1/PVR gene disruption after injection into CT26 tumors in vivo. In the syngeneic mouse model, dual disruption of PD-L1 and PVR leads to CD8+ T cell recruitment and distinct CT26 tumor growth inhibition, clearly superior to the individual knockouts alone. The reported Cas9 RNP nanocarriers represent a versatile platform for potent and receptor-specific gene editing. In addition, the study demonstrates a promising strategy for cancer immunotherapy by permanent and combined immune checkpoint disruption.
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Affiliation(s)
- Yi Lin
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Ulrich Wilk
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Jana Pöhmerer
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Elisa Hörterer
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Miriam Höhn
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Xianjin Luo
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764, Neuherberg, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Ernst Wagner
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
| | - Ulrich Lächelt
- Department of Pharmacy and Center for NanoScience (CeNS), LMU Munich, 81377, Munich, Germany
- Department of Pharmaceutical Sciences, University of Vienna, Vienna, 1090, Austria
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8
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Bhatia HS, Brunner AD, Öztürk F, Kapoor S, Rong Z, Mai H, Thielert M, Ali M, Al-Maskari R, Paetzold JC, Kofler F, Todorov MI, Molbay M, Kolabas ZI, Negwer M, Hoeher L, Steinke H, Dima A, Gupta B, Kaltenecker D, Caliskan ÖS, Brandt D, Krahmer N, Müller S, Lichtenthaler SF, Hellal F, Bechmann I, Menze B, Theis F, Mann M, Ertürk A. Spatial proteomics in three-dimensional intact specimens. Cell 2022; 185:5040-5058.e19. [PMID: 36563667 DOI: 10.1016/j.cell.2022.11.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [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: 05/03/2021] [Revised: 06/13/2022] [Accepted: 11/18/2022] [Indexed: 12/24/2022]
Abstract
Spatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological states. However, methods for molecular analysis of large biological specimens imaged in 3D are lacking. Here, we present DISCO-MS, a technology that combines whole-organ/whole-organism clearing and imaging, deep-learning-based image analysis, robotic tissue extraction, and ultra-high-sensitivity mass spectrometry. DISCO-MS yielded proteome data indistinguishable from uncleared samples in both rodent and human tissues. We used DISCO-MS to investigate microglia activation along axonal tracts after brain injury and characterized early- and late-stage individual amyloid-beta plaques in a mouse model of Alzheimer's disease. DISCO-bot robotic sample extraction enabled us to study the regional heterogeneity of immune cells in intact mouse bodies and aortic plaques in a complete human heart. DISCO-MS enables unbiased proteome analysis of preclinical and clinical tissues after unbiased imaging of entire specimens in 3D, identifying diagnostic and therapeutic opportunities for complex diseases. VIDEO ABSTRACT.
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Affiliation(s)
- Harsharan Singh Bhatia
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany
| | - Andreas-David Brunner
- Department for Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; Boehringer Ingelheim Pharma GmbH & Co. KG, Drug Discovery Sciences, Birkendorfer Str. 65, D-88400 Biberach Riss, Germany
| | - Furkan Öztürk
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Saketh Kapoor
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Zhouyi Rong
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Hongcheng Mai
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Marvin Thielert
- Department for Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Mayar Ali
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Graduate School of Neuroscience (GSN), 82152 Munich, Germany
| | - Rami Al-Maskari
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 81675 Munich, Germany; Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - Johannes Christian Paetzold
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 81675 Munich, Germany; Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, 85748 Garching, Germany; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London SW7 2AZ, UK
| | - Florian Kofler
- Center for Translational Cancer Research (TranslaTUM) of the TUM, 81675 Munich, Germany; Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, 85748 Garching, Germany; Helmholtz AI, Helmholtz Zentrum München, 85764 Neuherberg, Germany; Department of Neuroradiology, Klinikum rechts der Isar, 81675 Munich, Germany
| | - Mihail Ivilinov Todorov
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany
| | - Muge Molbay
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Zeynep Ilgin Kolabas
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Graduate School of Neuroscience (GSN), 82152 Munich, Germany
| | - Moritz Negwer
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Luciano Hoeher
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Alina Dima
- Center for Translational Cancer Research (TranslaTUM) of the TUM, 81675 Munich, Germany; Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - Basavdatta Gupta
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Doris Kaltenecker
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Institute for Diabetes and Cancer, Helmholz Zentrum München, 85764 Neuherberg, Germany
| | - Özüm Sehnaz Caliskan
- Institute for Diabetes and Obesity, Helmholz Zentrum München, 85764 Neuherberg, Germany; German Center for Diabetes Research, Helmholz Zentrum München, 85764 Neuherberg, Germany
| | - Daniel Brandt
- Institute for Diabetes and Obesity, Helmholz Zentrum München, 85764 Neuherberg, Germany; German Center for Diabetes Research, Helmholz Zentrum München, 85764 Neuherberg, Germany
| | - Natalie Krahmer
- Institute for Diabetes and Obesity, Helmholz Zentrum München, 85764 Neuherberg, Germany; German Center for Diabetes Research, Helmholz Zentrum München, 85764 Neuherberg, Germany
| | - Stephan Müller
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Stefan Frieder Lichtenthaler
- Graduate School of Neuroscience (GSN), 82152 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Farida Hellal
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Bjoern Menze
- Center for Translational Cancer Research (TranslaTUM) of the TUM, 81675 Munich, Germany; Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, 85748 Garching, Germany; Department for Quantitative Biomedicine, University of Zurich, 8006 Zurich, Switzerland
| | - Fabian Theis
- Institute of Computational Biology, Helmholz Zentrum München, 85764 Neuherberg, Germany; TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany; Department of Mathematics, Technical University of Munich, 85748 Garching, Germany
| | - Matthias Mann
- Department for Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
| | - Ali Ertürk
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany; Graduate School of Neuroscience (GSN), 82152 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany.
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9
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Mai H, Rong Z, Zhao S, Cai R, Steinke H, Bechmann I, Ertürk A. Scalable tissue labeling and clearing of intact human organs. Nat Protoc 2022; 17:2188-2215. [PMID: 35859136 DOI: 10.1038/s41596-022-00712-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/05/2022] [Indexed: 11/09/2022]
Abstract
Advances in tissue labeling and clearing methods include improvement of tissue transparency, better preservation of fluorescence signal, compatibility with immunostaining and large sample volumes. However, as existing methods share the common limitation that they can only be applied to human tissue slices, rendering intact human organs transparent remains a challenge. Here, we describe experimental details of the small-micelle-mediated human organ efficient clearing and labeling (SHANEL) pipeline, which can be applied for cellular mapping of intact human organs. We have successfully cleared multiple human organs, including kidney, pancreas, heart, lung, spleen and brain, as well as hard tissue like skull. We also describe an advanced volumetric imaging system using a commercial light-sheet fluorescence microscope that can accommodate most human organs and a pipeline for whole-organ imaging and visualization. The complete experimental process of labeling and clearing whole human organs takes months and the analysis process takes several weeks, depending on the organ types and sizes.
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Affiliation(s)
- Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
| | - Zhouyi Rong
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
| | - Shan Zhao
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Munich Medical Research School (MMRS), Ludwig-Maximilians University Munich, Munich, Germany
| | - Ruiyao Cai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany.,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, Leipzig, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, Leipzig, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Neuherberg, Munich, Germany. .,Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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10
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Schoppe O, Pan C, Coronel J, Mai H, Rong Z, Todorov MI, Müskes A, Navarro F, Li H, Ertürk A, Menze BH. Deep learning-enabled multi-organ segmentation in whole-body mouse scans. Nat Commun 2020; 11:5626. [PMID: 33159057 PMCID: PMC7648799 DOI: 10.1038/s41467-020-19449-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [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: 05/05/2020] [Accepted: 10/12/2020] [Indexed: 12/22/2022] Open
Abstract
Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prerequisite for quantitative analysis but is a tedious and error-prone task if done manually. Here, we present a deep learning solution called AIMOS that automatically segments major organs (brain, lungs, heart, liver, kidneys, spleen, bladder, stomach, intestine) and the skeleton in less than a second, orders of magnitude faster than prior algorithms. AIMOS matches or exceeds the segmentation quality of state-of-the-art approaches and of human experts. We exemplify direct applicability for biomedical research for localizing cancer metastases. Furthermore, we show that expert annotations are subject to human error and bias. As a consequence, we show that at least two independently created annotations are needed to assess model performance. Importantly, AIMOS addresses the issue of human bias by identifying the regions where humans are most likely to disagree, and thereby localizes and quantifies this uncertainty for improved downstream analysis. In summary, AIMOS is a powerful open-source tool to increase scalability, reduce bias, and foster reproducibility in many areas of biomedical research.
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Affiliation(s)
- Oliver Schoppe
- Department of Informatics, Technical University of Munich, Munich, Germany.
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany.
| | - Chenchen Pan
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Javier Coronel
- Department of Informatics, Technical University of Munich, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Zhouyi Rong
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
| | - Mihail Ivilinov Todorov
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Annemarie Müskes
- Berlin-Brandenburg Center for Regenerative Therapies, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Fernando Navarro
- Department of Informatics, Technical University of Munich, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Hongwei Li
- Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, Neuherberg, Germany.
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| | - Bjoern H Menze
- Department of Informatics, Technical University of Munich, Munich, Germany.
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
- Institute for Advanced Study, Department of Informatics, Technical University of Munich, Munich, Germany.
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
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11
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Li YYR, Mai H, Trudeau ME, Mittmann N, Chiasson K, Chan KKW, Cheung MC. Reimbursement recommendations for cancer drugs supported by phase II evidence in Canada. Curr Oncol 2020; 27:e495-e500. [PMID: 33173389 PMCID: PMC7606040 DOI: 10.3747/co.27.6489] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background Phase ii data are increasingly being used as primary evidence for public reimbursement for oncologic drugs. We compared the frequency of reimbursement recommendations for phase ii and phase iii submissions and assessed for variables associated with a positive or conditional recommendation. Methods We identified submissions made to the pan-Canadian Oncology Drug Review's Expert Review Committee (perc), of the Canadian Agency for Drugs and Technologies in Health, July 2011 to July 2019, that were supported only by phase ii data. We identified variables within the perc's deliberative framework, including clinical and economic factors, associated with the final reimbursement recommendation. We conducted a multivariable analysis with logistic regression for these variables: feasibility of phase iii study, hematologic indication, and unmet need. Results We identified 139 submissions with a perc final recommendation. In 27 instances (19%), the submission had only phase ii evidence, and a positive recommendation was issued for 63% of them (the positive recommendation rate was 82% for submissions with phase iii evidence). Clinical benefit (p < 0.001), unmet need (p = 0.047), and patient alignment (p = 0.015) were associated with a positive recommendation. If a future phase iii study was deemed feasible for submissions with only phase ii evidence, then in univariable (p = 0.040) and multivariable analysis (p = 0.024), the perc was less likely to recommend reimbursement (odds ratio: 0.132). Conclusions Although more than half the oncologic submissions with phase ii data were recommended for public reimbursement, compared with submissions having phase iii data, they were less likely to be recommended. A positive or conditional recommendation was more likely if clinical benefit and alignment with patient values was demonstrated. The perc was less likely to recommend reimbursement for submissions with phase ii evidence if a phase iii trial was deemed possible.
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Affiliation(s)
- Y Y R Li
- Department of Medicine, University of Toronto, Toronto
| | - H Mai
- Canadian Agency for Drugs and Technologies in Health, Ottawa
| | - M E Trudeau
- Canadian Agency for Drugs and Technologies in Health, Ottawa
- Division of Medical Oncology, Sunnybrook Odette Cancer Centre, Toronto
| | - N Mittmann
- Canadian Agency for Drugs and Technologies in Health, Ottawa
- Department of Pharmacology and Toxicology, Institute for Health Policy Management and Evaluation, and Sunnybrook Research Institute, Toronto, ON
| | - K Chiasson
- Canadian Agency for Drugs and Technologies in Health, Ottawa
| | - K K W Chan
- Canadian Agency for Drugs and Technologies in Health, Ottawa
- Division of Medical Oncology, Sunnybrook Odette Cancer Centre, Toronto
| | - M C Cheung
- Canadian Agency for Drugs and Technologies in Health, Ottawa
- Division of Medical Oncology, Sunnybrook Odette Cancer Centre, Toronto
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12
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Cai X, Li Z, Mai H, Chen Q, Zhao C. 941P Efficacy and safety of apatinib combined with capecitabine in patients with advanced nasopharyngeal carcinoma. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1056] [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: 11/28/2022] Open
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13
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Pan C, Schoppe O, Parra-Damas A, Cai R, Todorov MI, Gondi G, von Neubeck B, Böğürcü-Seidel N, Seidel S, Sleiman K, Veltkamp C, Förstera B, Mai H, Rong Z, Trompak O, Ghasemigharagoz A, Reimer MA, Cuesta AM, Coronel J, Jeremias I, Saur D, Acker-Palmer A, Acker T, Garvalov BK, Menze B, Zeidler R, Ertürk A. Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body. Cell 2020; 179:1661-1676.e19. [PMID: 31835038 DOI: 10.1016/j.cell.2019.11.013] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 10/02/2019] [Accepted: 11/12/2019] [Indexed: 12/20/2022]
Abstract
Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipeline for automated quantification of cancer metastases and therapeutic antibody targeting, named DeepMACT. First, we enhanced the fluorescent signal of cancer cells more than 100-fold by applying the vDISCO method to image metastasis in transparent mice. Second, we developed deep learning algorithms for automated quantification of metastases with an accuracy matching human expert manual annotation. Deep learning-based quantification in 5 different metastatic cancer models including breast, lung, and pancreatic cancer with distinct organotropisms allowed us to systematically analyze features such as size, shape, spatial distribution, and the degree to which metastases are targeted by a therapeutic monoclonal antibody in entire mice. DeepMACT can thus considerably improve the discovery of effective antibody-based therapeutics at the pre-clinical stage. VIDEO ABSTRACT.
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Affiliation(s)
- Chenchen Pan
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Oliver Schoppe
- Department of Informatics, Technical University of Munich, 85748 Munich, Germany; Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Arnaldo Parra-Damas
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Ruiyao Cai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Mihail Ivilinov Todorov
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Graduate School of Systemic Neurosciences (GSN), 82152 Munich, Germany
| | - Gabor Gondi
- Research Unit Gene Vectors, Helmholtz Zentrum München, 81377 Munich, Germany
| | - Bettina von Neubeck
- Research Unit Gene Vectors, Helmholtz Zentrum München, 81377 Munich, Germany
| | | | - Sascha Seidel
- Institute of Cell Biology and Neuroscience and Buchmann Institute for Molecular Life Sciences (BMLS), University of Frankfurt, 60323 Frankfurt, Germany
| | - Katia Sleiman
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany; Division of Translational Cancer Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; German Cancer Consortium (DKTK), Partner Site Munich, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Christian Veltkamp
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany; Division of Translational Cancer Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; German Cancer Consortium (DKTK), Partner Site Munich, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Benjamin Förstera
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Hongcheng Mai
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Zhouyi Rong
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Omelyan Trompak
- Institute of Neuropathology, University of Giessen, 35390 Giessen, Germany
| | - Alireza Ghasemigharagoz
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Madita Alice Reimer
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Angel M Cuesta
- Institute of Cell Biology and Neuroscience and Buchmann Institute for Molecular Life Sciences (BMLS), University of Frankfurt, 60323 Frankfurt, Germany
| | - Javier Coronel
- Department of Informatics, Technical University of Munich, 85748 Munich, Germany
| | - Irmela Jeremias
- Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Zentrum München, German Center for Environmental Health (HMGU), 81377 Munich, Germany; Department of Pediatrics, Dr. von Hauner Childrens Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; German Consortium for Translational Cancer Research (DKTK), Partnering Site Munich, 80336 Munich, Germany
| | - Dieter Saur
- Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany; Division of Translational Cancer Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; German Cancer Consortium (DKTK), Partner Site Munich, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Amparo Acker-Palmer
- Institute of Cell Biology and Neuroscience and Buchmann Institute for Molecular Life Sciences (BMLS), University of Frankfurt, 60323 Frankfurt, Germany
| | - Till Acker
- Institute of Neuropathology, University of Giessen, 35390 Giessen, Germany
| | - Boyan K Garvalov
- Institute of Neuropathology, University of Giessen, 35390 Giessen, Germany; Department of Microvascular Biology and Pathobiology, European Center for Angioscience (ECAS), Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
| | - Bjoern Menze
- Department of Informatics, Technical University of Munich, 85748 Munich, Germany; Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany; Munich School of Bioengineering, Technical University of Munich, 85748 Munich, Germany
| | - Reinhard Zeidler
- Research Unit Gene Vectors, Helmholtz Zentrum München, 81377 Munich, Germany; Department for Otorhinolaryngology, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Ali Ertürk
- Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany.
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14
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Yan C, Nie W, Vogel AL, Dada L, Lehtipalo K, Stolzenburg D, Wagner R, Rissanen MP, Xiao M, Ahonen L, Fischer L, Rose C, Bianchi F, Gordon H, Simon M, Heinritzi M, Garmash O, Roldin P, Dias A, Ye P, Hofbauer V, Amorim A, Bauer PS, Bergen A, Bernhammer AK, Breitenlechner M, Brilke S, Buchholz A, Mazon SB, Canagaratna MR, Chen X, Ding A, Dommen J, Draper DC, Duplissy J, Frege C, Heyn C, Guida R, Hakala J, Heikkinen L, Hoyle CR, Jokinen T, Kangasluoma J, Kirkby J, Kontkanen J, Kürten A, Lawler MJ, Mai H, Mathot S, Mauldin RL, Molteni U, Nichman L, Nieminen T, Nowak J, Ojdanic A, Onnela A, Pajunoja A, Petäjä T, Piel F, Quéléver LLJ, Sarnela N, Schallhart S, Sengupta K, Sipilä M, Tomé A, Tröstl J, Väisänen O, Wagner AC, Ylisirniö A, Zha Q, Baltensperger U, Carslaw KS, Curtius J, Flagan RC, Hansel A, Riipinen I, Smith JN, Virtanen A, Winkler PM, Donahue NM, Kerminen VM, Kulmala M, Ehn M, Worsnop DR. Size-dependent influence of NO x on the growth rates of organic aerosol particles. Sci Adv 2020; 6:eaay4945. [PMID: 32518819 PMCID: PMC7253163 DOI: 10.1126/sciadv.aay4945] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 03/19/2020] [Indexed: 05/24/2023]
Abstract
Atmospheric new-particle formation (NPF) affects climate by contributing to a large fraction of the cloud condensation nuclei (CCN). Highly oxygenated organic molecules (HOMs) drive the early particle growth and therefore substantially influence the survival of newly formed particles to CCN. Nitrogen oxide (NOx) is known to suppress the NPF driven by HOMs, but the underlying mechanism remains largely unclear. Here, we examine the response of particle growth to the changes of HOM formation caused by NOx. We show that NOx suppresses particle growth in general, but the suppression is rather nonuniform and size dependent, which can be quantitatively explained by the shifted HOM volatility after adding NOx. By illustrating how NOx affects the early growth of new particles, a critical step of CCN formation, our results help provide a refined assessment of the potential climatic effects caused by the diverse changes of NOx level in forest regions around the globe.
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Affiliation(s)
- C. Yan
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - W. Nie
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - A. L. Vogel
- CERN, CH-1211, Geneva, Switzerland
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - L. Dada
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - K. Lehtipalo
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
- Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland
| | - D. Stolzenburg
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Wien, Austria
| | - R. Wagner
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - M. P. Rissanen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - M. Xiao
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - L. Ahonen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - L. Fischer
- University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria
| | - C. Rose
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - F. Bianchi
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
| | - H. Gordon
- CERN, CH-1211, Geneva, Switzerland
- University of Leeds, Leeds LS2 9JT, UK
| | - M. Simon
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - M. Heinritzi
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - O. Garmash
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - P. Roldin
- Division of Nuclear Physics, Department of Physics, Lund University, P. O. Box 118, SE-221 00 Lund, Sweden
| | - A. Dias
- CERN, CH-1211, Geneva, Switzerland
- CENTRA and FCUL, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
| | - P. Ye
- Carnegie Mellon University Center for Atmospheric Particle Studies, 5000 Forbes Ave., Pittsburgh, PA 15213, USA
- Aerodyne Research Inc., Billerica, MA 01821, USA
| | - V. Hofbauer
- Carnegie Mellon University Center for Atmospheric Particle Studies, 5000 Forbes Ave., Pittsburgh, PA 15213, USA
| | - A. Amorim
- CENTRA and FCUL, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
| | - P. S. Bauer
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Wien, Austria
| | - A. Bergen
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - A.-K. Bernhammer
- University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria
| | - M. Breitenlechner
- University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria
| | - S. Brilke
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Wien, Austria
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - A. Buchholz
- University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, 70211 Kuopio, Finland
| | - S. Buenrostro Mazon
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | | | - X. Chen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - A. Ding
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - J. Dommen
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - D. C. Draper
- Department of Chemistry, University of California, Irvine, CA 92697, USA
| | - J. Duplissy
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - C. Frege
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - C. Heyn
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - R. Guida
- CERN, CH-1211, Geneva, Switzerland
| | - J. Hakala
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - L. Heikkinen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - C. R. Hoyle
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - T. Jokinen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - J. Kangasluoma
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
| | - J. Kirkby
- CERN, CH-1211, Geneva, Switzerland
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - J. Kontkanen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - A. Kürten
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - M. J. Lawler
- Department of Chemistry, University of California, Irvine, CA 92697, USA
| | - H. Mai
- California Institute of Technology, 210-41, Pasadena, CA 91125, USA
| | | | - R. L. Mauldin
- Carnegie Mellon University Center for Atmospheric Particle Studies, 5000 Forbes Ave., Pittsburgh, PA 15213, USA
- Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA
| | - U. Molteni
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - L. Nichman
- School of Earth and Environmental Science, University of Manchester, Manchester M13 9PL, UK
| | - T. Nieminen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - J. Nowak
- Aerodyne Research Inc., Billerica, MA 01821, USA
| | - A. Ojdanic
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Wien, Austria
| | | | - A. Pajunoja
- University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, 70211 Kuopio, Finland
| | - T. Petäjä
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - F. Piel
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - L. L. J. Quéléver
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - N. Sarnela
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - S. Schallhart
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | | | - M. Sipilä
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - A. Tomé
- IDL Universidade da Beira Interior, Covilhã, Portugal
| | - J. Tröstl
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - O. Väisänen
- University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, 70211 Kuopio, Finland
| | - A. C. Wagner
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - A. Ylisirniö
- University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, 70211 Kuopio, Finland
| | - Q. Zha
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - U. Baltensperger
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | | | - J. Curtius
- Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
| | - R. C. Flagan
- California Institute of Technology, 210-41, Pasadena, CA 91125, USA
| | - A. Hansel
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria
- IONICON GesmbH, Innsbruck, Austria
| | - I. Riipinen
- Department of Environmental Science and Analytical Chemistry (ACES) and Bolin Centre for Climate Research, Stockholm University, 10691 Stockholm, Sweden
| | - J. N. Smith
- Department of Chemistry, University of California, Irvine, CA 92697, USA
| | - A. Virtanen
- University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, 70211 Kuopio, Finland
| | - P. M. Winkler
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Wien, Austria
| | - N. M. Donahue
- Carnegie Mellon University Center for Atmospheric Particle Studies, 5000 Forbes Ave., Pittsburgh, PA 15213, USA
| | - V.-M. Kerminen
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - M. Kulmala
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Helsinki Institute of Physics, FI-00014 Helsinki, Finland
| | - M. Ehn
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
| | - D. R. Worsnop
- Institute for Atmospheric and Earth System Research/INAR–Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, Finland
- Aerodyne Research Inc., Billerica, MA 01821, USA
- University of Eastern Finland, Department of Applied Physics, P.O. Box 1627, 70211 Kuopio, Finland
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15
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Zhao S, Todorov MI, Cai R, -Maskari RA, Steinke H, Kemter E, Mai H, Rong Z, Warmer M, Stanic K, Schoppe O, Paetzold JC, Gesierich B, Wong MN, Huber TB, Duering M, Bruns OT, Menze B, Lipfert J, Puelles VG, Wolf E, Bechmann I, Ertürk A. Cellular and Molecular Probing of Intact Human Organs. Cell 2020; 180:796-812.e19. [PMID: 32059778 PMCID: PMC7557154 DOI: 10.1016/j.cell.2020.01.030] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 12/04/2019] [Accepted: 01/22/2020] [Indexed: 12/16/2022]
Abstract
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues in 3D. Adult human organs are particularly challenging to render transparent because of the accumulation of dense and sturdy molecules in decades-aged tissues. To overcome these challenges, we developed SHANEL, a method based on a new tissue permeabilization approach to clear and label stiff human organs. We used SHANEL to render the intact adult human brain and kidney transparent and perform 3D histology with antibodies and dyes in centimeters-depth. Thereby, we revealed structural details of the intact human eye, human thyroid, human kidney, and transgenic pig pancreas at the cellular resolution. Furthermore, we developed a deep learning pipeline to analyze millions of cells in cleared human brain tissues within hours with standard lab computers. Overall, SHANEL is a robust and unbiased technology to chart the cellular and molecular architecture of large intact mammalian organs.
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Affiliation(s)
- Shan Zhao
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Medical Research School (MMRS), 80336 Munich, Germany
| | - Mihail Ivilinov Todorov
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Graduate School of Neuroscience (GSN), 82152 Munich, Germany
| | - Ruiyao Cai
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Rami Ai -Maskari
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany; Graduate School of Bioengineering, Technical University of Munich (TUM), 85748 Munich, Germany
| | - Hanno Steinke
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Elisabeth Kemter
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Hongcheng Mai
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Zhouyi Rong
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Martin Warmer
- Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Karen Stanic
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Oliver Schoppe
- Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany
| | - Johannes Christian Paetzold
- Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany; Graduate School of Bioengineering, Technical University of Munich (TUM), 85748 Munich, Germany
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany
| | - Milagros N Wong
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Oliver Thomas Bruns
- Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Bjoern Menze
- Department of Computer Science, Technical University of Munich (TUM), 81675 Munich, Germany; Center for Translational Cancer Research (TranslaTUM) of the TUM, 80798 Munich, Germany; Graduate School of Bioengineering, Technical University of Munich (TUM), 85748 Munich, Germany
| | - Jan Lipfert
- Department of Physics and Center for Nanoscience, Ludwig Maximilian University of Munich (LMU), 80799 Munich, Germany
| | - Victor G Puelles
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Department of Nephrology, Monash Health, and Center for Inflammatory Diseases, Monash University, Melbourne VIC 3168, Australia
| | - Eckhard Wolf
- Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, 04109 Leipzig, Germany
| | - Ali Ertürk
- Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany.
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16
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Lu D, Ho ES, Mai H, Zang J, Liu Y, Li Y, Yang B, Ding Y, Tsang CK, Xu A. Identification of Blood Circular RNAs as Potential Biomarkers for Acute Ischemic Stroke. Front Neurosci 2020; 14:81. [PMID: 32116524 PMCID: PMC7015875 DOI: 10.3389/fnins.2020.00081] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 01/21/2020] [Indexed: 12/11/2022] Open
Abstract
Many hospitals lack facilities for accurate diagnosis of acute ischemic stroke (AIS). Circular RNA (circRNA) is highly expressed in the brain and is closely associated with stroke. In this study, we examined whether the blood-borne circRNAs could be promising candidates as adjunctive diagnostic biomarkers and their pathophysiological roles after stroke. We profiled the blood circRNA expression in mice subjected to experimental focal cerebral ischemia and validated the selected circRNAs in AIS patients. We demonstrated that 128, 198, and 789 circRNAs were significantly altered at 5 min, 3 h, and 24 h after ischemic stroke, respectively. Our bioinformatics analysis revealed that the circRNA-targeted genes were associated with the Hippo signaling pathway, extracellular matrix-receptor interaction, and fatty acid metabolism at 5 min, 3 h and 24 h after ischemic stroke, respectively. We verified that many of these circRNAs existed in the mouse brain. Furthermore, we found that most of the predicted circRNA-miRNA interactions apparently exhibited functional roles in terms of regulation of their target gene expression in the brain. We also verified that many of these mouse circRNAs were conserved in human. Finally, we found that circBBS2 and circPHKA2 were differentially expressed in the blood of AIS patients. These results demonstrate that blood circRNAs may serve as potential biomarkers for AIS diagnosis and reveal the pathophysiological responses in the brain after ischemic stroke.
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Affiliation(s)
- Dan Lu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Eric S Ho
- Department of Biology, Lafayette College, Easton, PA, United States.,Department of Computer Science, Lafayette College, Easton, PA, United States
| | - Hongcheng Mai
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiankun Zang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yanfang Liu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yufeng Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Bing Yang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yan Ding
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Chi Kwan Tsang
- Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Anding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China
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17
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Zhao C, Miao J, Shen G, Li J, Shi M, Zhang N, Hu G, Chen X, Hu X, Wu S, Chen J, Shao X, Wang L, Han F, Mai H, Chua MLK, Xie C. Anti-epidermal growth factor receptor (EGFR) monoclonal antibody combined with cisplatin and 5-fluorouracil in patients with metastatic nasopharyngeal carcinoma after radical radiotherapy: a multicentre, open-label, phase II clinical trial. Ann Oncol 2019; 30:637-643. [PMID: 30689735 DOI: 10.1093/annonc/mdz020] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We conducted a single-arm phase II trial to evaluate the efficacy and adverse effects (AEs) of an anti-epidermal growth factor receptor monoclonal antibody, nimotuzumab, combined with cisplatin and 5-fluorouracil (PF) as first-line treatment in recurrent metastatic nasopharyngeal carcinoma after radical radiotherapy. METHODS Patients who met the eligibility criteria were recruited from ten institutions (ClinicalTrials.gov; NCT01616849). A Simon optimal two-stage design was used to calculate the sample size. All patients received weekly nimotuzumab (200 mg) added to cisplatin (100 mg/m2 D1) and 5-fluorouracil (4 g/m2 continuous infusion D1-4) every 3-weekly for a maximum of six cycles. Primary end point was objective response rate (ORR). Secondary end points included disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and AEs. RESULTS A total of 35 patients were enrolled (13 in stage 1 and 22 in stage 2). Overall ORR and DCR were 71.4% (25/35) and 85.7% (30/35), respectively. Median PFS and OS were 7.0 (95% CI 5.8-8.2) months and 16.3 (95% CI 11.4-21.3) months, respectively. Unplanned exploratory analyses suggest that patients who received ≥2400 mg nimotuzumab and ≥4 cycles of PF had superior ORR, PFS and OS than those who did not (88.9% versus 12.5%, P < 0.001; 7.4 versus 2.7 months, P = 0.081; 17.0 versus 8.0 months, P = 0.202). Favourable subgroups included patients with lung metastasis [HROS 0.324 (95% CI 0.146-0.717), P = 0.008] and disease-free interval of >12 months [HROS 0.307 (95% CI 0.131-0.724), P = 0.004], but no difference was observed for metastatic burden. The only major grade 3/4 AE was leukopenia (62.9%). CONCLUSION Combination nimotuzumab-PF chemotherapy demonstrates potential efficacy, and is well tolerated as first-line chemotherapy regimen in recurrent metastatic nasopharyngeal carcinoma.
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Affiliation(s)
- C Zhao
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Centre, Zhongnan Hospital of Wuhan University, Wuhan; Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation centre of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou
| | - J Miao
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation centre of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou
| | - G Shen
- Department of Radiotherapy, Cancer Center of Guangzhou Medical University, Guangzhou; Department of Radiation Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou
| | - J Li
- Department of Radiation Oncology, Jiangxi Province Tumour Hospital, Nanchang
| | - M Shi
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an
| | - N Zhang
- Department of Radiation Oncology, The First People's Hospital of Foshan, Foshan
| | - G Hu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - X Chen
- Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou
| | - X Hu
- Department of Radiation Oncology, The First People's Hospital of Foshan, Foshan
| | - S Wu
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou
| | - J Chen
- Departments of Radiation Oncology, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning
| | - X Shao
- Department of Radiotherapy, Cancer Center of Guangzhou Medical University, Guangzhou
| | - L Wang
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation centre of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou
| | - F Han
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou
| | - H Mai
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation centre of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou
| | - M L K Chua
- Division of Radiation Oncology, Division of Medical Sciences, National Cancer Centre Singapore; Oncology Academic Programme, Duke-NUS Medical School, Singapore.
| | - C Xie
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Centre, Zhongnan Hospital of Wuhan University, Wuhan.
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18
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Xu B, Zhan R, Mai H, Wu Z, Zhu P, Liang Y, Zhang Y. The association between vascular endothelial growth factor gene polymorphisms and stroke: A PRISMA-compliant meta-analysis. Medicine (Baltimore) 2019; 98:e14696. [PMID: 30882632 PMCID: PMC6426541 DOI: 10.1097/md.0000000000014696] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Numerous studies showed that vascular endothelial growth factor (VEGF) gene polymorphisms were linked with the regularity of stroke, but the results remained controversial. The aim of this meta-analysis was to determine the associations between VEGF gene polymorphisms and the risk of stroke. METHODS A systematic literature search of PubMed, Embase, Wed of Science, The Cochrane Library, Elsevier, China National Knowledge Infrastructure, China Biology Medicine disc, WanFang Data, VIP Database for Chinese Technical Periodicals, and Science paper Online was conducted. Two authors independently assessed trial quality and extracted data. The pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of associations. Begger funnel plot and Egger test were used to estimate the publication bias of included studies. Heterogeneity assumption was assessed by Cochran Chi-squared-based Q-statistic test and I test. RESULTS Thirteen publications including 23 trails with a total of 3794 stroke patients and 3094 control subjects were enrolled. About 3747 cases and 2868 controls for +936C/T, 2134 cases and 1424 controls for -2578C/A, and 2187 cases and 1650 controls for -1154G/A were examined, respectively. The results indicated that VEGF +936C/T (T vs C, OR = 1.19, 95% CI = 1.01-1.40) or -2578C/A (A vs C, OR = 1.13, 95% CI = 1.02-1.27) was positively associated with the risk of stroke, whereas there was no association between -1154G/A (A vs G, OR = 0.99, 95% CI = 0.87-1.11) polymorphism and stroke risk in our study. Among the subgroup analyses on ethnicity, the results showed that VEGF +936C/T was an increased risk of stroke in Asian population (T vs C, OR = 1.21, 95% CI = 1.01-1.44), but not -1154G/A. CONCLUSION Our findings suggest that VEGF +936C/T and -2578C/A might be related to the risk of stroke, especially in the Asian population, but not -1154G/A.
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Affiliation(s)
| | - Rui Zhan
- Department of Gastroenterology, The First Affiliated Hospital of Jinan University, Guangzhou, China
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19
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Hua X, Chen L, Zhu Q, Hu W, Lin C, Long Z, Wen W, Sun X, Lu Z, Chen Q, Luo D, Sun R, Mo H, Tang L, Zhang W, He Z, Mai H, Lin H, Guo L. Efficacy of controlled-release oxycodone for reducing pain due to oral mucositis in nasopharyngeal carcinoma patients treated with concurrent chemoradiotherapy: A prospective clinical trial. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy438.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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20
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Lu D, Liu Y, Mai H, Zang J, Shen L, Zhang Y, Xu A. Rosuvastatin Reduces Neuroinflammation in the Hemorrhagic Transformation After rt-PA Treatment in a Mouse Model of Experimental Stroke. Front Cell Neurosci 2018; 12:225. [PMID: 30116175 PMCID: PMC6082938 DOI: 10.3389/fncel.2018.00225] [Citation(s) in RCA: 14] [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: 04/16/2018] [Accepted: 07/11/2018] [Indexed: 12/31/2022] Open
Abstract
Hemorrhagic transformation (HT) is a serious complication that stimulates inflammation during reperfusion therapy after acute ischemic stroke. Rosuvastatin, a 3-hydroxymethyl-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitor, might improve the outcome of HT by inhibiting neuroinflammation. This study aimed to explore the protective effects of rosuvastatin against HT after recombinant tissue plasminogen activator (rt-PA) treatment in mice with experimental stroke via the attenuation of inflammation. A total of one hundred sixty-nine male BALB/c mice were used in the experiment. HT was successfully established in 70 mice that were subjected to 3 h of middle cerebral artery occlusion (MCAO) followed by a 10 mg/kg rt-PA injection over 10 min and reperfusion for 24 h. The mice were then administered rosuvastatin (1 mg/kg, 5 mg/kg) or saline (vehicle). The brain water content and neurological deficits (wire hang and adhesive removal somatosensory tests) were assessed at 24 h after rt-PA reperfusion following MCAO surgery. The morphology, blood-brain barrier (BBB) permeability and number of astrocytes and microglia were assessed by immunohistochemistry, electron microscopy and western blotting at 24 h after rt-PA reperfusion following MCAO surgery. Rosuvastatin protected against impaired neurological function and reversed the BBB leakage observed in the HT group. The increased activation of astrocytes and microglia and secretion of inflammatory factors caused by HT damage were significantly attenuated by high-dose rosuvastatin treatment vs. normal-dose rosuvastatin treatment. Related inflammatory pathways, such as the nuclear factor kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) pathways, were downregulated in the rosuvastatin-treated groups compared with the HT group. In conclusion, our results indicate that rosuvastatin is a promising therapeutic agent for HT after rt-PA reperfusion following MCAO surgery in mice, as it attenuates neuroinflammation. Additionally, high-dose rosuvastatin treatment could have a greater anti-inflammatory effect on HT than normal-dose rosuvastatin treatment.
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Affiliation(s)
- Dan Lu
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute of Jinan University, Guangzhou, China
| | - Yanfang Liu
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute of Jinan University, Guangzhou, China
| | - Hongcheng Mai
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute of Jinan University, Guangzhou, China
| | - Jiankun Zang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute of Jinan University, Guangzhou, China
| | - Lingling Shen
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute of Jinan University, Guangzhou, China
| | - Yusheng Zhang
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Anding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute of Jinan University, Guangzhou, China
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21
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Zhang T, Lu D, Yang W, Shi C, Zang J, Shen L, Mai H, Xu A. HMG-CoA Reductase Inhibitors Relieve Endoplasmic Reticulum Stress by Autophagy Inhibition in Rats With Permanent Brain Ischemia. Front Neurosci 2018; 12:405. [PMID: 29970982 PMCID: PMC6018104 DOI: 10.3389/fnins.2018.00405] [Citation(s) in RCA: 14] [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: 01/26/2018] [Accepted: 05/25/2018] [Indexed: 01/08/2023] Open
Abstract
Exploring and expanding the indications of common clinical drugs, such as statins, is important to improve the prognosis of patients with permanent cerebral infarction. It has been suggested that reversing the defects in cellular autophagy and ER stress with statin therapy may be a potential treatment option for reducing ischemic damage. Male Sprague-Dawley rats underwent permanent middle cerebral artery occlusion (PMCAO) by electrocoagulation surgery. Atorvastatin (ATV, 10 mg/kg/day) or vehicle was administered intraperitoneally. Rats were divided into the vehicle-treated (SHAM), ATV pretreatment for MCAO (AMCAO), and 3-methyladenine (3MA) combined with ATV pretreatment (3MAMCAO) groups. Magnetic resonance imaging, as well as immunohistochemical and Western blot assessments, were performed 24 h after MCAO. Each ATV-treated group demonstrated significant reductions in infarct volume compared with that in the vehicle-treated group at 24 h after MCAO, which was associated with autophagy reduction and ER stress attenuation in neurons and neovascularization. Next, Western blotting was used to detect the levels of the autophagy-related proteins LC3B and P62 and of ER stress pathway proteins. However, 3MA significantly partially inhibited the ER stress pathway via limiting the autophagic flux in the AMCAO group. In conclusion, our results imply that the neuroprotective function of ATV depends on autophagic activity to diminish ER stress-related cell apoptosis in rats with PMCAO and suggest that compounds that inhibit autophagic activity might reduce the neuroprotective effect of ATV after brain ischemia.
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Affiliation(s)
- Tao Zhang
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Dan Lu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
| | - Wanyong Yang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
| | - Changzheng Shi
- Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiankun Zang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
| | - Lingling Shen
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
| | - Hongcheng Mai
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
| | - Anding Xu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
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22
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Srikanthan A, Mai H, Penner N, Amir E, Laupacis A, Sabharwal M, Chan KKW. Impact of the pan-Canadian Oncology Drug Review on provincial concordance with respect to cancer drug funding decisions and time to funding. ACTA ACUST UNITED AC 2017; 24:295-301. [PMID: 29089796 DOI: 10.3747/co.24.3648] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The pan-Canadian Oncology Drug Review (pcodr) was implemented in 2011 to address uneven drug coverage and lack of transparency with respect to the various provincial cancer drug review processes in Canada. We evaluated the impact of the pcodr on provincial decision concordance and time from Notice of Compliance (noc) to drug funding. METHODS In a retrospective review, Health Canada's Drug Product Database was used to identify new indications for cancer drugs between January 2003 and May 2014, and provincial formulary listings for drug-funding dates and decisions between 1 January 2003 and 31 December 2014 were retrieved. Multiple linear models and quantile regressions were used to evaluate changes in time to decision-making before and after the implementation of the pcodr. Agreement of decisions between provinces was evaluated using kappa statistics. RESULTS Data were available from 9 provinces (all Canadian provinces except Quebec), identifying 88 indications that represented 51 unique cancer drugs. Two provinces lacked available data for all 88 indications at the time of data collection. Interprovincial concordance in drug funding decisions significantly increased after the pcodr's implementation (Brennan-Prediger coefficient: 0.54 pre-pcodr vs. 0.78 post-pcodr; p = 0.002). Nationwide, the median number of days from Health Canada's noc date to the date of funding significantly declined (to 393 days from 522 days, p < 0.001). Exploratory analyses excluding provinces with incomplete data did not change the results. CONCLUSIONS After the implementation of the pcodr, greater concordance in cancer drug funding decisions between provinces and decreased time to funding decisions were observed.
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Affiliation(s)
- A Srikanthan
- Division of Medical Oncology, BC Cancer Agency, Vancouver, BC; and
| | - H Mai
- Pan-Canadian Oncology Drug Review, Canadian Agency for Drugs and Technologies in Health
| | - N Penner
- Pan-Canadian Oncology Drug Review, Canadian Agency for Drugs and Technologies in Health
| | - E Amir
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto.,Institute of Health Policy, Management and Evaluation, University of Toronto
| | - A Laupacis
- Institute of Health Policy, Management and Evaluation, University of Toronto.,Li Ka Shing Knowledge Institute, St. Michael's Hospital
| | - M Sabharwal
- Pan-Canadian Oncology Drug Review, Canadian Agency for Drugs and Technologies in Health
| | - K K W Chan
- Division of Medical Oncology, Sunnybrook Odette Cancer Centre; and.,Canadian Centre for Applied Research in Cancer Control, Toronto, ON
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Trudeau M, Hoskins P, Reiman T, Chambers A, Mai H, Wheatley-Price P. Clinician participation in CADTH's pan-Canadian Oncology Drug Review: contribution and impact on cancer drug funding recommendations. ACTA ACUST UNITED AC 2017; 24:71-74. [PMID: 28490919 DOI: 10.3747/co.24.3644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In any given week, media headlines publicize the benefits of a new “breakthrough” cancer drug, with patients and clinicians subsequently advocating for its use. [...]
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Affiliation(s)
- M Trudeau
- Division of Medical Oncology and Hematology, Sunnybrook Odette Cancer Centre, Toronto, ON
| | - P Hoskins
- Medical Oncology, BC Cancer Agency, Vancouver, BC
| | - T Reiman
- Department of Oncology, Saint John Regional Hospital, Saint John, NB; Department of Medicine, Dalhousie University, Halifax, NS; and Department of Biology, University of New Brunswick, Saint John, NB
| | - A Chambers
- Pan-Canadian Oncology Drug Review, Canadian Agency for Drugs and Technologies in Health, Toronto, ON
| | - H Mai
- Pan-Canadian Oncology Drug Review, Canadian Agency for Drugs and Technologies in Health, Toronto, ON
| | - P Wheatley-Price
- Pan-Canadian Oncology Drug Review, Canadian Agency for Drugs and Technologies in Health, Toronto, ON
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Jiang KM, Zhong X, Tan Y, Liu GC, Mai H, Wu SX. [The correlation between cerebral MRI characteristics of posterior reversible encephalopathy syndrome and serum levels of PlGF, sEng in patients with pre-eclampsia]. Zhonghua Fu Chan Ke Za Zhi 2016; 51:840-844. [PMID: 27916068 DOI: 10.3760/cma.j.issn.0529-567x.2016.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the MRI characteristics of posterior reversible encephalopathy syndrome (PRES) in patients with pre-eclampsia(PE) and its correlation with serum placental growth factor (PlGF), soluble endoglin (sEng) and sEng/PlGF ratio. Methods: 34 patients with PE who were admitted to Guangdong Women and Children Hospital from September 2013 to March 2014 were studied retrospectively.13 cases had PRES and 21 cases had normal cerebral MRI. All patients underwent conventional MRI and DWI scanning. The score of brain edema (SBE) were calculated. PlGF, sEng concentrations were measured with ELISA. The levels of PlGF, sEng and sEng/PlGF were compared between the PRES group and the normal MRI groups. The correlation of sEng/PIGF ratio and SBE were studied as well. Results: The PlGF in the PRSE group was (231.4±66.8) ng/L, and in normal cerebral MRI group was (333.6±37.5) ng/L (t= 5.61, P<0.05). The sEng in the PRSE group was (5 256.2±879.6) ng/L, in normal cerebral MRI group was (3 955.6±537.7) ng/L (t=6.53, P<0.01).The sEng/PlGF in the PRSE group was (26.0±10.0) , and in normal cerebral MRI group was (11.9±1.6; t=8.41, P<0.01) , with the cut-off value of 20.0. The sensitivity was 81.8% and the specificity was 85.0%.There was no statistically significant correlation between PlGF, sEng and SBE (P>0.05).There was a positive correlation between the sEng/PlGF ratio and SBE (P>0.05). Conclusion: The value of sEng/PlGF ratio was correlated with brain edema score in PE. The serum sEng/PlGF ratio may be used as a reference for prediction of PRES.
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Affiliation(s)
- K M Jiang
- Department of Radiology, Guangdong Women and Children Hospital, Guangzhou 511400, China
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Mai H, Lan X, Lu D, Zhang Y, Zhang A, Zhang T. Wellens' Syndrome with a proximal left anterior descending artery occlusion. Clin Case Rep 2016; 4:558-60. [PMID: 27398196 PMCID: PMC4891478 DOI: 10.1002/ccr3.479] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 11/25/2015] [Indexed: 11/24/2022] Open
Abstract
The case is a 52‐year‐old male admitted to cardiology department with chest tightness. Admission ECG showed nontypical T‐wave changes in V2–V4 leads in pain peroids, and increasing severe narrowing of proximal LAD. Cardiac enzymes were abnormal. Emergency coronary angiography showed severe stenosis (99%) in proximal LAD.
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Affiliation(s)
- Hongcheng Mai
- Department of internal neurology Guangzhou Overseas Chinese Hospital Guangzhou Guangdong 510632 China
| | - XianWu Lan
- Department of internal cardiology Guangzhou Overseas Chinese Hospital Guangzhou Guangdong 510632 China
| | - Dan Lu
- Department of internal neurology Guangzhou Overseas Chinese Hospital Guangzhou Guangdong 510632 China
| | - Yusheng Zhang
- Department of internal neurology Guangzhou Overseas Chinese Hospital Guangzhou Guangdong 510632 China
| | - AiDong Zhang
- Department of internal cardiology Guangzhou Overseas Chinese Hospital Guangzhou Guangdong 510632 China
| | - Tao Zhang
- Department of internal cardiology Guangzhou Overseas Chinese Hospital Guangzhou Guangdong 510632 China
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Liu H, Li YX, Wen YF, Zhang MY, Chen QY, Luo Y, Wang H, Wang HY, Mai H. 485PD Genetic variation in immune genes and prognosis of locoregionally advanced nasopharyngeal carcinoma. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv533.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Liu SL, Tang LQ, Guo L, Mai H. 335P The prognosis of neck residue nasopharyngeal carcinoma (NPC) patients: Results from a case control study. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv527.22] [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: 11/14/2022] Open
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Lu D, Xu A, Mai H, Zhao J, Zhang C, Qi R, Wang H, Lu D, Zhu L. The synergistic effects of heat shock protein 70 and ginsenoside Rg1 against tert-butyl hydroperoxide damage model in vitro. Oxid Med Cell Longev 2015; 2015:437127. [PMID: 25685255 PMCID: PMC4312651 DOI: 10.1155/2015/437127] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 12/13/2014] [Indexed: 02/08/2023]
Abstract
Neural stem cells (NSCs) transplanted is one of the hottest research to treat Alzheimer's disease (AD), but cholinergic neurons from stem cells were also susceptible to cell death which Heat shock protein 70 (HSP70) was affirmed to reverse. Related to cognitive impairment, cholinergic nervous cells should be investigated and ginsenoside Rg1 (G-Rg1) was considered to increase them. We chose tert-butyl hydroperoxide (t-BHP) damage model to study in vitro. Functional properties of our recombination plasmid pEGFP-C2-HSP70 were affirmed by SH-SY5Y cells. To opposite the transitory appearance of HSP70, NSCs used as the vectors of HSP70 gene overexpressed HSP70 for at least 7 days in vitro. After transfection for 3 days, G-Rg1 pretreatment for 4 hours, and coculture for 3 days, the expression of acetylcholinesterase (ChAT), synaptophysin, and the ratio of NeuN and GFAP were assessed by western blot; Morphological properties were detected by 3D reconstruction and immunofluorescence. ChAT was markedly improved in the groups contained G-Rg1. In coculture system, the ratio of neurons/astrocytes and the filaments of neurons were increased; apoptosis cells were decreased, compared to monotherapy (P < 0.05). In conclusion, we demonstrated that, as a safe cotreatment affirmed in vitro, overexpression of HSP70 in NSCs plus G-Rg1 promoted nervous cells regeneration from chronic oxidative damage.
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Affiliation(s)
- Dan Lu
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
- 2Department of Internal Neurology, Guangzhou Overseas Chinese Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510632, China
| | - Anding Xu
- 2Department of Internal Neurology, Guangzhou Overseas Chinese Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510632, China
| | - Hongcheng Mai
- 2Department of Internal Neurology, Guangzhou Overseas Chinese Hospital, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510632, China
| | - Jiayi Zhao
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
| | - Chanjuan Zhang
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
| | - Renbin Qi
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
| | - Huadong Wang
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
| | - Daxiang Lu
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
- *Daxiang Lu: and
| | - Lihong Zhu
- 1Department of Pathophysiology, Institute of Brain Research, Key Laboratory of State Administration of Traditional Chinese Medicine of the People's Republic of China, School of Medicine, Jinan University, Guangzhou, Guangdong 510632, China
- *Lihong Zhu:
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Robinson P, Mai H, Guo R, Gaynor E, McCroskey Z, Ersahin C, Albain K, Lo S. Abstract P6-06-50: Obesity and the influence on tumor biology as determined by the intermediate risk 21-gene recurrence scores (RS) and the 70-gene breast cancer recurrence signature (70-GS) assay. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p6-06-50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
BACKGROUND
Obesity is an apparent risk factor for postmenopausal breast cancer (BC), estrogen receptor (ER) positive BC, larger tumors, lymph node (LN) involvement, as well as recurrence of BC and BC death despite treatment. However, the specific mechanism of these increased risks remains unclear. Our prior work described the negative influence of metabolic syndrome on BC recurrence in patients assessed by a 21 gene recurrence score (RS) in the low risk and intermediate risk tertiles (Lakhani et al PSABCS 2012). The objective of this study was to analyze the interaction of obesity and BC biology in patients assessed by the 70 gene signature (70-GS) for BC recurrence and the 80 gene molecular subtyping.
METHODS
We studied consecutive patients with newly diagnosed ER positive, LN negative BC treated at Loyola University Medical Center between 2005 -2012 who had an intermediate RS. The 70-GS was done on these same paraffin-embedded tumor blocks for risk level and molecular subtype. Standard descriptive statistics are reported. Wilcoxon rank sum tests were performed for the comparison of BMI by groups defined by RS scores (≤24 vs ≥25) and the 70 gene signature assay (high risk vs low risk). In addition, Chi-squared test, or Fisher's exact test as appropriate, was used to examine the association between BMI tertiles and the 70GS or molecular subtype.
RESULTS
From 102 patients with intermediate RS, the 70-GS was successful in 89 samples. The average age was 61 years (range 41-79). The median body mass index (BMI) was 29 (range 18-53). There was a significant association between BMI and RS (p = 0.0110): median BMI = 28 in patients with RS ≤24; median BMI 33 in patients with RS ≥25. There was a significant association between BMI and the 70-GS (p = 0.0116). Median BMI 27 in low risk group; median BMI 32 in high risk group. There was a significant association between the 70-GS and BMI (p = 0.0190).
Association between the 70-GS and BMI70-GS RiskHealthy (18-25)Overweight (26-30)Obese (>30)TotalHigh (n pts)1292950Low (n pts)15131139
There was a significant association between molecular subtype and BMI tertiles (p = 0.0803).
Association between molecular subtype and BMI tertiles HealthyOverweightObeseTotalLuminal A (n pts)14131239Luminal B (n pts)1392648
CONCLUSION
There is a striking interaction of obesity and BC biology as defined by the RS and 70-GS assays. Our data suggest that BC in obese women may have more aggressive tumor biology and higher risk of recurrence than BC in those with a low BMI. Further molecular characterization of the BC from obese patients may elucidate the role obesity plays in BC development and progression, as well as provide rationale for targeted therapeutic trials. Clinical trials targeting known carcinogenic pathways related to obesity (such as metformin and statins) are ongoing. Several genes in the 70-GS are the same genes expressed in obese patients. Additional studies examining the prognostic and predictive value of the 70-GS need to be conducted for this patient population.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P6-06-50.
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Affiliation(s)
- P Robinson
- Loyola University Medical Center, Maywood, IL
| | - H Mai
- Loyola University Medical Center, Maywood, IL
| | - R Guo
- Loyola University Medical Center, Maywood, IL
| | - E Gaynor
- Loyola University Medical Center, Maywood, IL
| | - Z McCroskey
- Loyola University Medical Center, Maywood, IL
| | - C Ersahin
- Loyola University Medical Center, Maywood, IL
| | - K Albain
- Loyola University Medical Center, Maywood, IL
| | - S Lo
- Loyola University Medical Center, Maywood, IL
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Mai H, Morin B, Cachot J. Toxic effects of copper and cadmium on fertilization potency of gametes of Pacific oyster (Crassostrea gigas). J Xenobiot 2013. [DOI: 10.4081/xeno.2013.s1.e9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Not available
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Lakhani A, Guo R, Duan X, Ersahin C, Gaynor ER, Godellas C, Kay C, Lo SS, Mai H, Perez C, Albain K, Robinson P. Abstract PD10-02: Metabolic syndrome and recurrence within the 21-gene recurrence score assay risk categories in lymph node negative breast cancer. Cancer Res 2012. [DOI: 10.1158/0008-5472.sabcs12-pd10-02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The incidence of the metabolic syndrome (MS) has been increasing in the United States and elsewhere. The interaction of MS with breast cancer (BC) incidence, tumor biology and outcomes are under study. We hypothesized that the presence of MS would predict BC recurrence to a variable degree across the diverse BC biology as defined by the risk categories of the 21-gene recurrence score (RS) assay.
Patients and Methods: We studied consecutive patients (pts) with newly diagnosed, estrogen receptor (ER) positive, lymph node (LN) negative BC treated in our institution between 2006–2011 who had a 21-gene RS assay done on their tumors. All pts were treated with standard systemic and local therapy. The electronic medical record was queried for key diagnoses including MS and its constituent parts. The WHO definition was used to categorize pts as having MS defined as diabetes mellitus (DM) or glucose intolerance, plus at least 2 of the following: hypertension (HTN), dyslipidemia (HL), central obesity and microalbuminemia. Tumor characteristics including Ki67 index, grade, tumor size, HER2/neu status; and pt characteristics including age, race, menopausal status, body mass index were recorded. The association of MS and the tumor and patient characteristics with the RS tertiles of low, intermediate and high risk was analyzed.
Results: We identified 332 pts, median age 62 years, of whom 88 (27%) had MS. There was no significant association between the MS and any of the patient or tumor variables including the 21-gene RS assay, except for race (p = 0.004). Eleven of 21 (52%) African-American women had MS, 68 of 284 (24%) Caucasian women had MS, and 9 of 21 (43%) others including Hispanic and Asian women had MS. However, there was a significant association between recurrence and MS (p = 0.0002) independent of other factors. Of the 21 pts who recurred, 13 (61.9%) had MS. There was an association of recurrence and MS within RS tertiles. For pts with low risk scores, 7/44 (15.9%) with MS vs. 1/126 (0.79%) without MS had recurrence (p = 0.0003). For pts with intermediate risk scores, 5/30 (16.67%) with MS vs. 4/83 (4.82%) without MS had recurrence (p = 0.05). For patients with high risk scores, 1/9 (11.11%) with MS vs. 2/15 (13.33%) without MS had recurrence (p = 1).
Conclusion: MS is an independent risk factor for BC recurrence among women with LN negative, ER positive BC treated with standard adjuvant therapy. There is a striking impact of MS on recurrence in pts with tumor biologies defined by low (and to a lesser degree) intermediate risk 21-gene RS assay scores. However, there is no difference in recurrence risk by MS among those pts with high RS. This implies that interventions directed at modifying MS in newly diagnosed pts with early BC may potentially favorably impact survival in those with specific tumor biologies as defined by multigene assays. Thus, long-term prospective studies should be conducted to further evaluate both the short and long term effects of MS on BC outcomes.
Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD10-02.
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Affiliation(s)
- A Lakhani
- Loyola University Medical Center, Maywood, IL
| | - R Guo
- Loyola University Medical Center, Maywood, IL
| | - X Duan
- Loyola University Medical Center, Maywood, IL
| | - C Ersahin
- Loyola University Medical Center, Maywood, IL
| | - ER Gaynor
- Loyola University Medical Center, Maywood, IL
| | - C Godellas
- Loyola University Medical Center, Maywood, IL
| | - C Kay
- Loyola University Medical Center, Maywood, IL
| | - SS Lo
- Loyola University Medical Center, Maywood, IL
| | - H Mai
- Loyola University Medical Center, Maywood, IL
| | - C Perez
- Loyola University Medical Center, Maywood, IL
| | - K Albain
- Loyola University Medical Center, Maywood, IL
| | - P Robinson
- Loyola University Medical Center, Maywood, IL
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Vogel H, Gerlich C, Löffler S, Meng K, Holderied A, Mai H, Gehrke J. Qualitätssicherung in der sozialmedizinischen Begutachtung: Entwicklung eines Prüffragenkatalogs zum Peer Review der Begutachtung von Erwerbsminderung durch die Deutsche Rentenversicherung. Gesundheitswesen 2011. [DOI: 10.1055/s-0031-1283665] [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: 10/17/2022]
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Pan H, Wang L, Zhang X, Zhang G, Mai H, Han Y, Guo S. Rapamycin, mycophenolate mofetil, methylprednisolone, and cytotoxic T-lymphocyte-associated antigen 4 immunoglobulin-based conditioning regimen to induce partial tolerance to hind limb allografts without cytoreductive conditioning. Transplant Proc 2008; 40:1714-21. [PMID: 18589179 DOI: 10.1016/j.transproceed.2008.03.152] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [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: 11/24/2007] [Revised: 02/21/2008] [Accepted: 03/11/2008] [Indexed: 11/19/2022]
Abstract
BACKGROUND Composite tissue allograft transplantation may represent the next frontier in the field of reconstructive surgery. However, the main obstacles precluding the routine use of composite tissue allotransplants are rejection and toxicity associated with life-long immunosuppressive therapy. In this study, we investigated a nontoxic immunosuppressant and cytotoxic T-lymphocyte-associated antigen 4 immunoglobulin (CTLA4-Ig)-based protocol to induce donor-specific tolerance to hind limb allografts in rats. METHODS Fully mismatched, 4- to 10-week-old Brown Norway (BN, RT1n) and Lewis (RT1) rats were used as cell/organ donors and recipients, respectively. Recipients were treated with CTLA4-Ig (2 mg/kg/d) on days -30, -28, -26, -24, and -22, rapamycin, mycophenolate mofetil, and methylprednisolone (RAPA/MMF/MP) combined therapy (from days -30 to day 100), a single dose of anti-lymphocyte serum (10 mg, on day -30), and donor bone marrow (10 x 10(7) T-cell-depleted cells) transplantation (BMT, on day -30). Thirty days after BMT, chimeric animals received hind limb allotransplantations (on day 0). The RAPA/MMF/MP combined therapy was changed to Cyclosporine (CsA, 8 mg/kg/d) on day 100 and maintained thereafter at this level. RESULTS Hematopoietic chimerism of 17.6 +/- 9.5% at day 0, was stable (15.2 +/- 5.6%) at 230 days post-BMT; there was no sign of graft-versus-host disease. Chimeric recipients (Lewis) permanently accepted (>200 days) donor (BN)-specific (RT11, n = 6) hind limbs, yet rapidly rejected (20 +/- 2 days) third-party hind limbs (Wistar Furth [WF]). Lymphocytes of graft-tolerant animals demonstrated hyporesponsiveness in mixed lymphocyte cultures in a donor-specific manner. Tolerant graft histology showed no signs of acute and chronic rejection. CONCLUSIONS The immunosuppressant and CTLA4-Ig-based conditioning regimen with donor BMT produced mixed chimerism and induced partial donor-specific tolerance to hind limb allografts.
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Affiliation(s)
- H Pan
- Institute of Plastic Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi Province, China
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Becker E, Horn S, Irle H, Knorr I, Mai H, Pottins I, Rohwetter M, Schuhknecht P, Timner K. [Guidelines for the sociomedical assessment of performance in patients suffering from breast cancer]. Gesundheitswesen 2006; 68:403-20. [PMID: 16868867 DOI: 10.1055/s-2006-926923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The following guidelines were developed for the medical assessment services of the German Pension Insurance Federal Institution. Starting from day-to-day practice, criteria and attributes to guide decisions for a systemisation of the sociomedical assessment of performance in breast cancer were compiled. The guidelines aim at standardising the sociomedical assessment of performance and help to make the decision-making process more transparent, e. g., for the assessment of applications for decreased earning capacity benefits. The guidelines summarise typical manifestations of breast cancer and describe the necessary medical information for the sociomedical assessment of performance. Relevant assessment criteria for the medical history, clinical examination, and for diagnostic tests are illustrated. The assessment of the individual's capacity is outlined, taking occupational factors into account. Following the determination of dysfunctions, the remaining abilities and disabilities, respectively, are deduced and compared with occupational demands. Finally, inferences are drawn regarding the occupational capacity of the individual.
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Affiliation(s)
- E Becker
- Alle Autoren sind Mitarbeiter des Beratungsärztlichen Dienstes der Leistungsabteilung oder des Bereichs Sozialmedizin der Deutschen Rentenversicherung Bund
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Chua DT, Ma J, Sham J, Mai H, Hong M, Lu T, Ming H. Comparison of two induction chemotherapy regimens in combination with radiotherapy in patients with advanced nasopharyngeal carcinoma. J Clin Oncol 2006. [DOI: 10.1200/jco.2006.24.18_suppl.5535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
5535 Background: Prospective randomized trials failed to show any survival benefits associated with the use of induction chemotherapy in nasopharyngeal carcinoma (NPC). Although cisplatin-based regimens were commonly used in these trials, the impact of cisplatin dose was not clear. Methods: Individual patient data of two published phase III trials using different cisplatin-based induction chemotherapy regimens were pooled together for analysis. A total of 365 patients with stage II-IV NPC received either cisplatin & epirubicin (EP, n = 144) or cisplatin, bleomycin & fluorouracil (PBF, n = 221) followed by radiotherapy between September 1989 and July 1994. The mean total cisplatin dose received by patients ranged from 162 mg/m2 in EP group to 232 mg/m2 in PBF group. Median follow-up time was 59 months. Results: The response rates at the end of induction chemotherapy were 86% in PBF group and 84% in EP group. No significant differences in tumor control and survival were observed between the two groups. Five-year overall survival rates were 63% in PBF group and 62.5% in EP group. Five-year loco-regional failure-free rates were 74% in PBF group and 65% in EP group, the difference being not significant after adjusting for stage grouping. Conclusions: No significant difference in treatment outcome was observed in patients using different cisplatin-based induction chemotherapy. The absence of survival benefits in chemotherapy arms was probably not related to the dose-intensity of cisplatin used, and escalating the total cisplatin dose alone in induction chemotherapy is not likely to improve survival. No significant financial relationships to disclose.
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Affiliation(s)
- D. T. Chua
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
| | - J. Ma
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
| | - J. Sham
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
| | - H. Mai
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
| | - M. Hong
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
| | - T. Lu
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
| | - H. Ming
- Queen Mary Hospital, Pokfulam, Hong Kong Special Administrative Region of China; Sun Yat-Sen University of Medical Sciences, Guangzhou, China
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Engewald W, Mai H, Mühlstädt M. Molekülstruktur und Retentionsverhalten. IV. Gaschromatographische Charakterisierung von Chlorierungsprodukten des Isobutens. ACTA ACUST UNITED AC 2004. [DOI: 10.1002/prac.19763180405] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Belger A, Wolf B, Sebald T, Boettger T, Paufler P, Mai H, Beyer E. Structural and mechanical characterisation of TiC/VC multilayers using XRD, polarized EXAFS and nanoindentation. Acta Crystallogr A 2002. [DOI: 10.1107/s0108767302086725] [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: 11/11/2022] Open
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Fournier M, Lesèche G, Mai H. [Surgical volume reduction in emphysema: arguments in favor of restrictive indications]. Rev Pneumol Clin 1998; 54:53-56. [PMID: 9769987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Affiliation(s)
- M Fournier
- Services de Pneumologie et de Chirurgie thoracique et vasculaire, Hôpital Beaujon, Clichy
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Kharlamov V, Bobeth M, Dietsch R, Gorbunov A, Krawietz R, Mai H, Pompe W, Sewing A, Trushin Y. Concentration Profiles in Laser-Deposited Ni/C and W/C Multilayers. ACTA ACUST UNITED AC 1998. [DOI: 10.1002/(sici)1521-396x(199803)166:1<91::aid-pssa91>3.0.co;2-j] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Mai H. [Observations and experiences in nursing]. Kinderkrankenschwester 1997; 16:29-31. [PMID: 9077190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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Krawietz R, Wehner B, Meyer D, Richter K, Mai H, Dietsch R, Hopfe S, Scholz R, Pompe W. Investigation of the thermal stability of Ni/C multilayers by X-ray methods. Anal Bioanal Chem 1995; 353:246-50. [PMID: 15048475 DOI: 10.1007/s0021653530246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/1995] [Accepted: 01/27/1995] [Indexed: 10/26/2022]
Abstract
Microstructural properties of Ni/C multilayers prepared by PLD (pulsed laser deposition) have been investigated after heat treatment in vacuum at temperatures in the range of 50 degrees C to 500 degrees C. X-ray diffractometry, X-ray reflectometry, fluorescence EXAFS (extended X-ray absorption fine structure) and HREM (high resolution transmission electron microscopy) have been applied to characterize samples in the initial state and after annealing. The multilayer reflectivity remained unchanged or increased at temperatures below 400 degrees C due to sharpening of the interfaces caused by the formation of alpha-nickel and nickel carbide. The reflectivity decreased at temperatures above 400 degrees C because of the fragmentation of the nickel layers. It can be shown, that both chemical and mechanical driving forces are responsible for the observed modifications of the initial specimen state.
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Affiliation(s)
- R Krawietz
- TU Dresden, Institut für Kristallographie und Festkörperphysik, Mommsenstrasse 13, D-01069, Dresden, Germany
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Dietsch R, Holz T, Hopfe S, Mai H, Scholz R, Schöneich B, Wendrock H. Characterization of ultra smooth interfaces in Mo/Si-multilayers. Anal Bioanal Chem 1995; 353:383-8. [PMID: 15048504 DOI: 10.1007/s0021653530383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/1995] [Accepted: 06/07/1995] [Indexed: 11/25/2022]
Abstract
The interface structure of Mo/Si-multilayers prepared by Pulsed Laser Deposition (PLD) on Si substrates at room temperature has been investigated. Already the in-situ ellipsometer data acquired during film growth indicate a particular behaviour of this material system that is caused by reaction/diffusion processes of the condensing atoms. MoSi(x) interlayers are formed both at the Mo on Si- and at the Si on Mo-interfaces. The results of multilayer characterization carried out by SNMS and RBS show similar concentration profiles for both types of the interlayers. More detailed information about interface structure and morphology can be provided by HREM investigations. In the TEM micrographs of various multilayers prepared for different laser light wavelengths an improvement of layer stack quality, i.e. formation of abrupt interfaces, with increasing photon energy is observed. Layer stacks having almost ideally smooth interfaces were synthesized by UV-photon ablation. HREM micrographs of these multilayers show a pronounced separation of spacer and absorber layers. The roughness sigma(R) of the interfaces between the amorphous Si- and MoSi(x)-layers was determined by image analysis. On the average a level sigma(R) approximately 0.1 nm is found. There is no indication for roughness replication or amplification from interface to interface as it is known from the appropriate products of conventional thin film technologies.
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Affiliation(s)
- R Dietsch
- Fraunhofer-Institut für Werkstoffphysik und Schichttechnologie Dresden, Helmholtzstrasse 20, D-01069, Dresden, Germany
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Sewing A, Gorbunov A, Pompe W, Dietsch R, Mai H, Krawietz R, Weimer B. Formation of ordered arrays of metal clusters by annealing of NM-period metal-carbon multilayer films. ACTA ACUST UNITED AC 1995. [DOI: 10.1016/0965-9773(95)00153-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Dietsch R, Holz T, Hopfe S, Mai H, Scholz R, Sch�neich B, Wendrock H. Characterization of ultra smooth interfaces in Mo/Si-multilayers. Anal Bioanal Chem 1995. [DOI: 10.1007/bf00322074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Krawietz R, Wehner B, Kallis N, Dietsch R, Mai H. Thermal Ageing of Ni/C Multilayers Prepared by Pulsed Laser Deposition. ACTA ACUST UNITED AC 1994. [DOI: 10.1002/pssa.2211450240] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Abstract
Zymographic and immunological studies revealed that primarily tissue-type plasminogen activator and to a lesser extent urokinase-type plasminogen activator were present in fluids of pemphigus vulgaris (type Neumann) skin blisters. Furthermore, plasmin activity was detected in pemphigus blister fluids using chromogenic peptide substrate assays. In pemphigus, but not in control, suction blister fluids plasmin/alpha 2-antiplasmin and plasmin/alpha 2-macroglobulin complexes were found by immunoprecipitation or by testing in immunoassays after fractionation by molecular-sieve chromatography. Plasmin activity, detected by a low molecular weight chromogenic peptide assay, was ascribed to plasmin/alpha 2-macroglobulin complexes. Since formation of plasmin/inhibitor complexes requires active plasmin, the finding indicates previous activation of plasminogen in pemphigus lesions.
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Affiliation(s)
- J Reinartz
- Institut für Immunologie und Serologie der Universität, Labor für Immunpathologie, Heidelberg, Germany
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50
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Foutch PG, Mai H, Pardy K, DiSario JA, Manne RK, Kerr D. Flexible sigmoidoscopy may be ineffective for secondary prevention of colorectal cancer in asymptomatic, average-risk men. Dig Dis Sci 1991; 36:924-8. [PMID: 2070706 DOI: 10.1007/bf01297142] [Citation(s) in RCA: 75] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Asymptomatic men (N = 114) 50 years of age or older had screening for colorectal neoplasia with flexible sigmoidoscopy followed by colonoscopy regardless of the sigmoidoscopic result. Our study objective was to determine the prevalence of patients having isolated adenomatous polyps in a proximal colonic segment in the absence of a distal index neoplasm within reach of the sigmoidoscope. Through the combined use of sigmoidoscopy and colonoscopy, adenomatous polyps were detected in 47 of 114 individuals (41%). A total of 88 adenomas was found. Seventeen patients had isolated neoplasms in proximal colonic segments in the absence of distal adenomas. These patients represented 15% of screened subjects (17 of 114) and 20% of individuals who lacked adenomas on sigmoidoscopy (17 of 84). The majority of proximal neoplasms were small (less than 1.0 cm), tubular adenomas. Flexible sigmoidoscopy may be ineffective for screening asymptomatic men for neoplasia. However, it remains to be determined if a 20% miss rate (for those with a normal sigmoidoscopic examination) is significant and whether small proximal adenomas are worth finding.
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Affiliation(s)
- P G Foutch
- Gastroenterology Division, Carl T. Hayden Veterans Administration Medical Center, Phoenix, Arizona
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