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Rein AF, Lauruschkat CD, Muchsin I, Köchel C, Tischer-Zimmermann S, Bauersfeld L, Nelde A, Lübke M, Prusty BK, Schlosser A, Halenius A, Eiz-Vesper B, Dölken L, Grigoleit GU, Einsele H, Erhard F, Kraus S. Identification of novel canonical and cryptic HCMV-specific T-cell epitopes for HLA-A∗03 and HLA-B∗15 via peptide-PRISM. Blood Adv 2024; 8:712-724. [PMID: 38127299 PMCID: PMC10845030 DOI: 10.1182/bloodadvances.2023011120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/13/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023] Open
Abstract
ABSTRACT Human cytomegalovirus (HCMV) reactivation poses a substantial risk to patients receiving tranplants. Effective risk stratification and vaccine development is hampered by a lack of HCMV-derived immunogenic peptides in patients with common HLA-A∗03:01 and HLA-B∗15:01 haplotypes. This study aimed to discover novel HCMV immunogenic peptides for these haplotypes by combining ribosome sequencing (Ribo-seq) and mass spectrometry with state-of-the-art computational tools, Peptide-PRISM and Probabilistic Inference of Codon Activities by an EM Algorithm. Furthermore, using machine learning, an algorithm was developed to predict immunogenicity based on translational activity, binding affinity, and peptide localization within small open reading frames to identify the most promising peptides for in vitro validation. Immunogenicity of these peptides was subsequently tested by analyzing peptide-specific T-cell responses of HCMV-seropositive and -seronegative healthy donors as well as patients with transplants. This resulted in the direct identification of 3 canonical and 1 cryptic HLA-A∗03-restricted immunogenic peptides as well as 5 canonical and 1 cryptic HLA-B∗15-restricted immunogenic peptide, with a specific interferon gamma-positive (IFN-γ+)/CD8+ T-cell response of ≥0.02%. High T-cell responses were detected against 2 HLA-A∗03-restricted and 3 HLA-B∗15-restricted canonical peptides with frequencies of up to 8.77% IFN-γ+/CD8+ T cells in patients after allogeneic stem cell transplantation. Therefore, our comprehensive strategy establishes a framework for efficient identification of novel immunogenic peptides from both existing and novel Ribo-seq data sets.
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Affiliation(s)
- Alice Felicitas Rein
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | | | - Ihsan Muchsin
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Carolin Köchel
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Sabine Tischer-Zimmermann
- Institute of Transfusion Medicine and Transplant Engineering, Hannover Medical School, Hannover, Germany
| | - Liane Bauersfeld
- Institute of Virology, University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Annika Nelde
- Department of Peptide-based Immunotherapy, University Hospital Tübingen, Tübingen, Germany
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies,” University of Tübingen, Tübingen, Germany
| | - Maren Lübke
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Bhupesh Kumar Prusty
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Andreas Schlosser
- Rudolf Virchow Center - Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Anne Halenius
- Institute of Virology, University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Britta Eiz-Vesper
- Institute of Transfusion Medicine and Transplant Engineering, Hannover Medical School, Hannover, Germany
| | - Lars Dölken
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Götz Ulrich Grigoleit
- Department of Hematology, Oncology and Immunology, Helios Hospital Duisburg, Duisburg, Germany
| | - Hermann Einsele
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
| | - Florian Erhard
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Sabrina Kraus
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany
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2
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Höttler A, März L, Lübke M, Rammensee HG, Stevanović S. Broad and Efficient Activation of Memory CD4 + T Cells by Novel HAdV- and HCMV-Derived Peptide Pools. Front Immunol 2021; 12:700438. [PMID: 34322126 PMCID: PMC8312486 DOI: 10.3389/fimmu.2021.700438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/21/2021] [Indexed: 12/03/2022] Open
Abstract
Reactivation of Human Cytomegalovirus (HCMV) and Human Adenovirus (HAdV) in immunocompromised patients following stem cell transplantation (SCT) or solid organ transplantation (SOT) is associated with high morbidity and mortality. The adoptive transfer of virus-specific CD8+ and CD4+ T cells has been shown to re-establish the antiviral T-cell response and improve clinical outcome. The viral load in immunocompromised patients can efficiently be reduced solely by the infusion of virus-specific CD4+ T cells. The identification of CD4+ T-cell epitopes has mainly focused on a limited number of viral proteins that were characterized as immunodominant. Here, we used in silico prediction to determine promiscuous CD4+ T-cell epitopes from the entire proteomes of HCMV and HAdV. Immunogenicity testing with enzyme-linked immuno spot (ELISpot) assays and intracellular cytokine staining (ICS) revealed numerous novel CD4+ T-cell epitopes derived from a broad spectrum of viral antigens. We identified 17 novel HCMV-derived and seven novel HAdV-derived CD4+ T-cell epitopes that were recognized by > 50% of the assessed peripheral blood mononuclear cell (PBMC) samples. The newly identified epitopes were pooled with previously published, retested epitopes to stimulate virus-specific memory T cells in PBMCs from numerous randomly selected blood donors. Our peptide pools induced strong IFNγ secretion in 46 out of 48 (HCMV) and 31 out of 31 (HAdV) PBMC cultures. In conclusion, we applied an efficient method to screen large viral proteomes for promiscuous CD4+ T-cell epitopes to improve the detection and isolation of virus-specific T cells in a clinical setting.
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Affiliation(s)
- Alexander Höttler
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Léo März
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Maren Lübke
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Department of Immunology, Institute for Cell Biology, University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.,German Center for Infection Research (DZIF), Partner Site Tübingen, Tübingen, Germany
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3
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Marcu A, Bichmann L, Kuchenbecker L, Kowalewski DJ, Freudenmann LK, Backert L, Mühlenbruch L, Szolek A, Lübke M, Wagner P, Engler T, Matovina S, Wang J, Hauri-Hohl M, Martin R, Kapolou K, Walz JS, Velz J, Moch H, Regli L, Silginer M, Weller M, Löffler MW, Erhard F, Schlosser A, Kohlbacher O, Stevanović S, Rammensee HG, Neidert MC. HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy. J Immunother Cancer 2021; 9:e002071. [PMID: 33858848 PMCID: PMC8054196 DOI: 10.1136/jitc-2020-002071] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [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] [Accepted: 02/25/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The human leucocyte antigen (HLA) complex controls adaptive immunity by presenting defined fractions of the intracellular and extracellular protein content to immune cells. Understanding the benign HLA ligand repertoire is a prerequisite to define safe T-cell-based immunotherapies against cancer. Due to the poor availability of benign tissues, if available, normal tissue adjacent to the tumor has been used as a benign surrogate when defining tumor-associated antigens. However, this comparison has proven to be insufficient and even resulted in lethal outcomes. In order to match the tumor immunopeptidome with an equivalent counterpart, we created the HLA Ligand Atlas, the first extensive collection of paired HLA-I and HLA-II immunopeptidomes from 227 benign human tissue samples. This dataset facilitates a balanced comparison between tumor and benign tissues on HLA ligand level. METHODS Human tissue samples were obtained from 16 subjects at autopsy, five thymus samples and two ovary samples originating from living donors. HLA ligands were isolated via immunoaffinity purification and analyzed in over 1200 liquid chromatography mass spectrometry runs. Experimentally and computationally reproducible protocols were employed for data acquisition and processing. RESULTS The initial release covers 51 HLA-I and 86 HLA-II allotypes presenting 90,428 HLA-I- and 142,625 HLA-II ligands. The HLA allotypes are representative for the world population. We observe that immunopeptidomes differ considerably between tissues and individuals on source protein and HLA-ligand level. Moreover, we discover 1407 HLA-I ligands from non-canonical genomic regions. Such peptides were previously described in tumors, peripheral blood mononuclear cells (PBMCs), healthy lung tissues and cell lines. In a case study in glioblastoma, we show that potential on-target off-tumor adverse events in immunotherapy can be avoided by comparing tumor immunopeptidomes to the provided multi-tissue reference. CONCLUSION Given that T-cell-based immunotherapies, such as CAR-T cells, affinity-enhanced T cell transfer, cancer vaccines and immune checkpoint inhibition, have significant side effects, the HLA Ligand Atlas is the first step toward defining tumor-associated targets with an improved safety profile. The resource provides insights into basic and applied immune-associated questions in the context of cancer immunotherapy, infection, transplantation, allergy and autoimmunity. It is publicly available and can be browsed in an easy-to-use web interface at https://hla-ligand-atlas.org .
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Affiliation(s)
- Ana Marcu
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Leon Bichmann
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Leon Kuchenbecker
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Daniel Johannes Kowalewski
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Lena Katharina Freudenmann
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Linus Backert
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Lena Mühlenbruch
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - András Szolek
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Maren Lübke
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Philipp Wagner
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany
| | - Tobias Engler
- Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany
| | - Sabine Matovina
- Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany
| | - Jian Wang
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Mathias Hauri-Hohl
- Pediatric Stem Cell Transplantation, University Children's Hospital Zurich, Zurich, Switzerland
| | - Roland Martin
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Konstantina Kapolou
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
| | - Juliane Sarah Walz
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), University Hospital of Tübingen, Tübingen, Germany
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology (IKP) and Robert Bosch Center for Tumor Diseases (RBCT), Stuttgart, Germany
| | - Julia Velz
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
| | - Manuela Silginer
- Clinical Neuroscience Center and Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Clinical Neuroscience Center and Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Markus W Löffler
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
- Department of General, Visceral and Transplant Surgery, University Hospital of Tübingen, Tübingen, Germany
- Department of Clinical Pharmacology, University of Hospital Tübingen, Tübingen, Germany
| | - Florian Erhard
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Bayern, Germany
| | - Andreas Schlosser
- Rudolf Virchow Center - Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
- Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany
- Cluster of Excellence Machine Learning in the Sciences (EXC 2064), University of Tübingen, Tübingen, Germany
- Institute for Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Marian Christoph Neidert
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurosurgery, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland
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4
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Nelde A, Bilich T, Heitmann JS, Maringer Y, Salih HR, Roerden M, Lübke M, Bauer J, Rieth J, Wacker M, Peter A, Hörber S, Traenkle B, Kaiser PD, Rothbauer U, Becker M, Junker D, Krause G, Strengert M, Schneiderhan-Marra N, Templin MF, Joos TO, Kowalewski DJ, Stos-Zweifel V, Fehr M, Rabsteyn A, Mirakaj V, Karbach J, Jäger E, Graf M, Gruber LC, Rachfalski D, Preuß B, Hagelstein I, Märklin M, Bakchoul T, Gouttefangeas C, Kohlbacher O, Klein R, Stevanović S, Rammensee HG, Walz JS. SARS-CoV-2-derived peptides define heterologous and COVID-19-induced T cell recognition. Nat Immunol 2020; 22:74-85. [PMID: 32999467 DOI: 10.1038/s41590-020-00808-x] [Citation(s) in RCA: 383] [Impact Index Per Article: 95.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/11/2020] [Indexed: 12/14/2022]
Abstract
T cell immunity is central for the control of viral infections. To characterize T cell immunity, but also for the development of vaccines, identification of exact viral T cell epitopes is fundamental. Here we identify and characterize multiple dominant and subdominant SARS-CoV-2 HLA class I and HLA-DR peptides as potential T cell epitopes in COVID-19 convalescent and unexposed individuals. SARS-CoV-2-specific peptides enabled detection of post-infectious T cell immunity, even in seronegative convalescent individuals. Cross-reactive SARS-CoV-2 peptides revealed pre-existing T cell responses in 81% of unexposed individuals and validated similarity with common cold coronaviruses, providing a functional basis for heterologous immunity in SARS-CoV-2 infection. Diversity of SARS-CoV-2 T cell responses was associated with mild symptoms of COVID-19, providing evidence that immunity requires recognition of multiple epitopes. Together, the proposed SARS-CoV-2 T cell epitopes enable identification of heterologous and post-infectious T cell immunity and facilitate development of diagnostic, preventive and therapeutic measures for COVID-19.
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Affiliation(s)
- Annika Nelde
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Tatjana Bilich
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Jonas S Heitmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Yacine Maringer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Malte Roerden
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.,Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Maren Lübke
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Jens Bauer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Jonas Rieth
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Marcel Wacker
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Andreas Peter
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Sebastian Hörber
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Bjoern Traenkle
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Philipp D Kaiser
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Ulrich Rothbauer
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.,Pharmaceutical Biotechnology, University of Tübingen, Tübingen, Germany
| | - Matthias Becker
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Daniel Junker
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.,TWINCORE GmbH, Centre for Experimental and Clinical Infection Research, a joint venture of the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.,German Center for Infection Research, Braunschweig, Germany
| | - Monika Strengert
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.,TWINCORE GmbH, Centre for Experimental and Clinical Infection Research, a joint venture of the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
| | | | - Markus F Templin
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - Thomas O Joos
- NMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | | | | | - Michael Fehr
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Armin Rabsteyn
- Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.,Department of General Pediatrics, Oncology/Hematology, University Children's Hospital Tübingen, Tübingen, Germany
| | - Valbona Mirakaj
- Department of Anesthesia and Intensive Care Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Julia Karbach
- Department of Oncology and Hematology, Krankenhaus Nordwest, Frankfurt, Germany
| | - Elke Jäger
- Department of Oncology and Hematology, Krankenhaus Nordwest, Frankfurt, Germany
| | - Michael Graf
- Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Lena-Christin Gruber
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - David Rachfalski
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Beate Preuß
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Ilona Hagelstein
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Melanie Märklin
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany
| | - Tamam Bakchoul
- Institute for Clinical and Experimental Transfusion Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Cécile Gouttefangeas
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany.,Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany.,Biomolecular Interactions, Max-Planck-Institute for Developmental Biology, Tübingen, Germany.,Institute for Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
| | - Reinhild Klein
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Hans-Georg Rammensee
- Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, Germany
| | - Juliane S Walz
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany. .,Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany. .,Cluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.
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5
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Marcu A, Bichmann L, Kuchenbecker L, Backert L, Kowalewski DJ, Freudenmann LK, Löffler MW, Lübke M, Walz J, Velz J, Moch H, Regli L, Silginer M, Weller M, Schlosser A, Kohlbacher O, Stevanovic S, Rammensee HG, Neidert MC. The HLA Ligand Atlas: A novel immuno-oncology resource for T-cell antigen discovery. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.3128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3128 Background: The human leukocyte antigen (HLA) complex regulates the adaptive immune response by showcasing the intracellular and extracellular protein content to the immune system, which is the basis for T cell-dependent tumor rejection. Therefore, a comprehensive map of the entirety of both HLA class I- and class II-presented peptides from various benign tissues is a highly sought after resource, as it enables the definition of tumor-association on the immunologically pivotal level of the HLA ligandome. Methods: Human tissue samples were snap frozen post mortem during autopsy. The study was approved by the local IRB. HLA ligands were immunopurified and characterized using an Orbitrap Fusion Lumos mass spectrometer coupled to an Ultimate 3000 RSLC Nano UHPLC System. Data acquisition was performed as technical triplicates in data-dependent mode, and data were analyzed using the containerized, computational pipeline MHCquant. Results: In this work, we describe the HLA Ligand Atlas, a comprehensive collection of matched HLA class I and class II ligandomes from 29 non-malignant tissues and 13 human subjects (208 samples in total), covering 38 HLA class I, and 17 HLA*DRB alleles and comprising 48,381 HLA class I and 16,146 HLA class II peptides. Nearly 50% of HLA ligands have not been previously described. The HLA Ligand Atlas is publicly available as a raw data resource, but also in the form of a user-friendly web interface that allows users to quickly formulate complex queries against the data set. Both downloadable data and the query interface are available at www.hla-ligand-atlas.org. Conclusions: This data set provides a valuable tool for research in diverse fields such as systems biology, general immunology, autoimmune disease and organ transplantation. Most importantly, the HLA Ligand Atlas provides essential information for translational applications in immuno-oncology. The knowledge of HLA ligands from benign tissues strongly supports the informed design of proteogenomic HLA-dependent target discovery approaches.
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Affiliation(s)
- Ana Marcu
- University of Tübingen, Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Tübingen, Germany
| | - Leon Bichmann
- University of Tübingen, Applied Bioinformatics, Center for Bioinformatics, Tübingen, Germany., Tübingen, Germany
| | - Leon Kuchenbecker
- University of Tübingen, Applied Bioinformatics, Center for Bioinformatics, Tübingen, Germany., Tübingen, Germany
| | - Linus Backert
- University of Tübingen, Applied Bioinformatics, Center for Bioinformatics, Tübingen, Germany., Tübingen, Germany
| | - Daniel J Kowalewski
- University of Tübingen, Interfaculty Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | | | - Markus W. Löffler
- University Hospital Tübingen, Department of Clinical Pharmacology, Tübingen, Germany
| | - Maren Lübke
- University of Tübingen, Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Tübingen, Germany
| | - Juliane Walz
- University of Tübingen, Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Tübingen, Germany
| | - Julia Velz
- University Hospital and University of Zurich, Clinical Neuroscience Center and Department of Neurosurgery, Zurich, Switzerland
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Luca Regli
- University Hospital and University of Zürich, Clinical Neuroscience Center and Department of Neurosurgery, Zürich, Switzerland
| | - Manuela Silginer
- University Hospital and University of Zurich, Clinical Neuroscience Center and Department of Neurology, Zurich, Switzerland
| | - Michael Weller
- Laboratory of Molecular Neuro-Oncology, Department of Neurology, and Neuroscience Center Zürich, University Hospital and University of Zürich, Zürich, Switzerland
| | - Andreas Schlosser
- Julius-Maximilians-University Würzburg, Rudolf Virchow Center for Experimental Biomedicine, Würzburg, Germany
| | - Oliver Kohlbacher
- University of Tübingen, Cluster of Excellence Machine Learning in the Sciences (EXC 2064), Tübingen, Germany
| | - Stefan Stevanovic
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany., Tübingen, Germany
| | - Hans-Georg Rammensee
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany., Tübingen, Germany
| | - Marian Christoph Neidert
- University Hospital and University of Zurich, Clinical Neuroscience Center and Department of Neurosurgery, Zurich, Switzerland
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6
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Lübke M, Spalt S, Kowalewski DJ, Zimmermann C, Bauersfeld L, Nelde A, Bichmann L, Marcu A, Peper JK, Kohlbacher O, Walz JS, Le-Trilling VTK, Hengel H, Rammensee HG, Stevanović S, Halenius A. Identification of HCMV-derived T cell epitopes in seropositive individuals through viral deletion models. J Exp Med 2020; 217:e20191164. [PMID: 31869419 PMCID: PMC7062530 DOI: 10.1084/jem.20191164] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 10/24/2019] [Accepted: 11/12/2019] [Indexed: 11/25/2022] Open
Abstract
In healthy individuals, immune control of persistent human cytomegalovirus (HCMV) infection is effectively mediated by virus-specific CD4+ and CD8+ T cells. However, identifying the repertoire of T cell specificities for HCMV is hampered by the immense protein coding capacity of this betaherpesvirus. Here, we present a novel approach that employs HCMV deletion mutant viruses lacking HLA class I immunoevasins and allows direct identification of naturally presented HCMV-derived HLA ligands by mass spectrometry. We identified 368 unique HCMV-derived HLA class I ligands representing an unexpectedly broad panel of 123 HCMV antigens. Functional characterization revealed memory T cell responses in seropositive individuals for a substantial proportion (28%) of these novel peptides. Multiple HCMV-directed specificities in the memory T cell pool of single individuals indicate that physiologic anti-HCMV T cell responses are directed against a broad range of antigens. Thus, the unbiased identification of naturally presented viral epitopes enabled a comprehensive and systematic assessment of the physiological repertoire of anti-HCMV T cell specificities in seropositive individuals.
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Affiliation(s)
- Maren Lübke
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Stefanie Spalt
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- German Cancer Consortium, Partner Site Tübingen, Tübingen, Germany
| | - Daniel J. Kowalewski
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Cosima Zimmermann
- Institute of Virology, Medical Center University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Liane Bauersfeld
- Institute of Virology, Medical Center University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Annika Nelde
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Department of Hematology and Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Leon Bichmann
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Ana Marcu
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Janet Kerstin Peper
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany
- Quantitative Biology Center, University of Tübingen, Tübingen, Germany
- Biomolecular Interactions, Max-Planck-Institute for Developmental Biology, Tübingen, Germany
- Institute for Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
| | - Juliane S. Walz
- Department of Hematology and Oncology, University Hospital Tübingen, Tübingen, Germany
| | | | - Hartmut Hengel
- Institute of Virology, Medical Center University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- German Cancer Consortium, Partner Site Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- German Cancer Consortium, Partner Site Tübingen, Tübingen, Germany
| | - Anne Halenius
- Institute of Virology, Medical Center University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
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7
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Bilich T, Nelde A, Bauer J, Walz S, Roerden M, Salih HR, Weisel K, Besemer B, Marcu A, Lübke M, Schuhmacher J, Neidert MC, Rammensee HG, Stevanović S, Walz JS. Mass spectrometry-based identification of a B-cell maturation antigen-derived T-cell epitope for antigen-specific immunotherapy of multiple myeloma. Blood Cancer J 2020; 10:24. [PMID: 32111817 PMCID: PMC7048774 DOI: 10.1038/s41408-020-0288-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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: 08/25/2019] [Accepted: 10/28/2019] [Indexed: 01/10/2023] Open
Abstract
The B-cell maturation antigen (BCMA) is currently being evaluated as promising tumor-associated surface antigen for T-cell-based immunotherapy approaches, such as CAR T cells and bispecific antibodies, in multiple myeloma (MM). Cytotoxic T cells bearing BCMA-specific T-cell receptors might further allow targeting HLA-presented antigens derived from the intracellular domain of BCMA. By analyzing a mass spectrometry-acquired immunopeptidome dataset of primary MM samples and MM cell lines for BCMA-derived HLA ligands, we identified the naturally presented HLA-B*18-restricted ligand P(BCMA)B*18. Additionally, P(BCMA)B*18 was identified on primary CLL samples, thereby expanding the range for possible applications. P(BCMA)B*18 induced multifunctional BCMA-specific cells de novo from naïve CD8+ T cells of healthy volunteers. These T cells exhibited antigen-specific lysis of autologous peptide-loaded cells. Even in the immunosuppressive context of MM, we detected spontaneous memory T-cell responses against P(BCMA)B*18 in patients. By applying CTLA-4 and PD-1 inhibition in vitro we induced multifunctional P(BCMA)B*18-specific CD8+ T cells in MM patients lacking preexisting BCMA-directed immune responses. Finally, we could show antigen-specific lysis of autologous peptide-loaded target cells and even MM.1S cells naturally presenting P(BCMA)B*18 using patient-derived P(BCMA)B*18-specific T cells. Hence, this BCMA-derived T-cell epitope represents a promising target for T-cell-based immunotherapy and monitoring following immunotherapy in B-cell malignancy patients.
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Affiliation(s)
- Tatjana Bilich
- University Hospital Tübingen, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Tübingen, Germany
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Annika Nelde
- University Hospital Tübingen, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Tübingen, Germany
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Jens Bauer
- University Hospital Tübingen, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Tübingen, Germany
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Simon Walz
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
- University Hospital Tübingen, Department of Urology, Tübingen, Germany
| | - Malte Roerden
- University Hospital Tübingen, Department of Hematology and Oncology, Tübingen, Germany
| | - Helmut R Salih
- University Hospital Tübingen, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Katja Weisel
- University Hospital Tübingen, Department of Hematology and Oncology, Tübingen, Germany
- University Hospital Hamburg-Eppendorf, Department of Oncology, Hamburg-Eppendorf, Germany
| | - Britta Besemer
- University Hospital Tübingen, Department of Hematology and Oncology, Tübingen, Germany
| | - Ana Marcu
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Maren Lübke
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Juliane Schuhmacher
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
| | - Marian C Neidert
- University Hospital Zurich and University of Zurich, Department of Neurosurgery, Clinical Neuroscience Center, Zurich, Switzerland
| | - Hans-Georg Rammensee
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
- German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- University of Tübingen, Institute for Cell Biology, Department of Immunology, Tübingen, Germany
- German Cancer Consortium (DKTK), DKFZ partner site Tübingen, Tübingen, Germany
| | - Juliane S Walz
- University Hospital Tübingen, Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Tübingen, Germany.
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8
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9
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10
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Spitler M, Lübke M, Gerischer H. Studies of Dye Photooxidation at Semiconductor Electrodes Using Attenuated Total Reflection Techniques. ACTA ACUST UNITED AC 2010. [DOI: 10.1002/bbpc.19790830705] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [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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11
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Yamase T, Gerischer H, Lübke M, Pettinger B. Involvement of Surface States in the Spectral Sensitization of Zinc Oxide Electrodes. ACTA ACUST UNITED AC 2010. [DOI: 10.1002/bbpc.19780821004] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [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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12
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13
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Delle Chiaie L, Ottmüller S, Lübke M, Karck U. Konservatives Management der Placenta percreta: Ein Fallbericht. Z Geburtshilfe Neonatol 2007. [DOI: 10.1055/s-2007-1002996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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14
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Bühling KJ, Henrich W, Lübke M, Starr E, Dudenhausen JW. [Association of low 50 g glucose screening test in pregnancy and fetal retardation]. Z Geburtshilfe Neonatol 2001; 205:39-42. [PMID: 11360847 DOI: 10.1055/s-2001-14818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
BACKGROUND The connection between elevated blood sugar and macrosomia is sufficiently well known and studied. The following study, however, examines whether patients with lower blood sugar values--based on the result of the 50 g-glucose screening test--delivered smaller children than patients with normal blood sugar based on the current criteria of blood sugar levels. PATIENTS RESPECTIVELY AND METHODS: In this study, all patients were included who visited our Prenatal Counseling Center between September 21, 1994 and July 31, 1996. Not included were patients with one-hour values greater or equal to 140 mg/dl. For assessing the 50 g-screening tests, percentiles were used. Based on the tables of Voigt, children below the 10th percentile were considered to be growth retarded. The student's t-test and chi-square test were employed as statistical tests. RESULTS Of the 1416 participating patients in the study, 868 fulfilled the aforementioned criteria. A significant statistical correlation was shown between the development of fetal retardation and nicotine consumption, weight gain, and maternal height. It was also shown that patients with a lower (< 93 mg/dl) 50 g-screening test more often delivered a retarded child than patients with a normal value (23% vs. 12%, p = 0.034). No significant connection was found between the screening test groups and the described influencing factors. The clinical outcome, measured by the Apgar-scores and the transferal rate, was statistically significantly worse with the retarded children. CONCLUSIONS The maternal glucose metabolism influences the fetal growth not only with respect to macrosomia but also growth retardation. The growth curves that have been used until now wrongly do not take into consideration the maternal anthropometric data. In light of this, the former ought to be re-evaluated. The data of this study emphasize the necessity of need-adapted nutrition. Maybe also pregnant women with a growth retarded child need a dietary consultation.
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Affiliation(s)
- K J Bühling
- Klinik für Geburtsmedizin, Charité Campus Virchow-Klinikum, Berlin.
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15
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Kirsch N, Alexander C, Lübke M, Whitcombe M, Vulfson E. Enhancement of selectivity of imprinted polymers via post-imprinting modification of recognition sites. POLYMER 2000. [DOI: 10.1016/s0032-3861(99)00782-x] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Strasser P, Lübke M, Parmanada P, Eiswirth M, Ertl G. Mechanistic Analysis of Electrochemical Oscillators Using Derivative Feedback Control Techniques. J Phys Chem B 1998. [DOI: 10.1021/jp9801572] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- P. Strasser
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin (Dahlem), Germany
| | - M. Lübke
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin (Dahlem), Germany
| | - P. Parmanada
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin (Dahlem), Germany
| | - M. Eiswirth
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin (Dahlem), Germany
| | - G. Ertl
- Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin (Dahlem), Germany
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17
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Reles A, Wein U, Lübke M, Lichtenegger W. Transvaginale Farbdopplersonographie in der präoperativen Diagnostik von Adnextumoren. Geburtshilfe Frauenheilkd 1998. [DOI: 10.1055/s-2007-1022128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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18
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Strasser P, Lübke M, Raspel F, Eiswirth M, Ertl G. Oscillatory instabilities during formic acid oxidation on Pt(100), Pt(110) and Pt(111) under potentiostatic control. I. Experimental. J Chem Phys 1997. [DOI: 10.1063/1.474450] [Citation(s) in RCA: 121] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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19
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Siemann A, Schmiady H, Lübke M, Remberg B, Kentenich H. R-123. Pregnancy rate after cryopreservation of embryos at the pronuclear stage. Hum Reprod 1997. [DOI: 10.1093/humrep/12.suppl_2.289] [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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20
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Horstkamp B, Lübke M, Kentenich H, Riess H, Büscher U, Lichtenegger W. Internal jugular vein thrombosis caused by resistance to activated protein C as a complication of ovarian hyperstimulation after in-vitro fertilization. Hum Reprod 1996; 11:280-2. [PMID: 8671209 DOI: 10.1093/humrep/11.2.280] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
We present a case of a 24 year old woman who became pregnant (twins) after human menopausal gonadotrophin (HMG)-induced ovarian stimulation, in-vitro fertilization (IVF) and subsequent embryo transfer. She developed a right internal jugular vein thrombosis as a complication of severe ovarian hyperstimulation syndrome (OHSS) 28 days after embryo transfer. The thrombosis developed in spite of anticoagulation with low-dose heparin. Later a resistance to activated protein C (APC) or Dahlbäck disease was diagnosed. Due to a new test procedure (accelerin inactivation test), the diagnosis was possible even under anticoagulation treatment. The coincidence of hyperstimulation and internal jugular vein thrombosis with the concurrent diagnosis of resistance to APC has not been published previously. The benefit of general screening for resistance to APC before admission to the IVF programme should be weighed. Targeted selection of a group of high-risk women would therefore be made possible.
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Affiliation(s)
- B Horstkamp
- Department of Gynecology and Obstetrics, Virchow University Hospital, Humboldt University Berlin, Germany
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21
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Wolf W, Krischer K, Lübke M, Eiswirth M, Ertl G. Modelling oscillations in galvanostatic H2 oxidation at Pt in the presence of metal ions. J Electroanal Chem (Lausanne) 1995. [DOI: 10.1016/0022-0728(95)03778-f] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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22
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Krischer K, Lübke M, Wolf W, Eiswirth M, Ertl G. Oscillatory dynamics of the electrochemical oxidation of H2 in the presence of Cu2+: Structure sensitivity and the role of anions. Electrochim Acta 1995. [DOI: 10.1016/0013-4686(95)90742-l] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Abstract
Vaginal papillomata are rare, particularly in children. The macroscopic appearance is suggestive of a botryoid rhabdomyosarcoma, which is more common in this age group. The histogenesis of these tumors is still controversial, the choices being mesonephric or Müllerian origin. In our case cytokeratins and intermediate filaments were looked for immunohistochemically. Squamous epithelium as well as the cylindrical epithelium expresses type I cytokeratins, an acidic polypeptide typical of cylindrical epithelium. A strong expression of EMA in both epithelial types and CEA staining of the cylindrical epithelium support the hypothesis that these papillomata derive from Müllerian epithelium. Recurrence as observed in our case has not been described before. Treatment involves the simple removal of the papilloma.
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Affiliation(s)
- J E Lüttges
- Institute of Pathology, University of Kiel, Germany
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Slapke J, Hummel S, Lübke M. [Analgesic intolerance--clinical aspects, pathogenesis and experimental studies]. Prax Klin Pneumol 1986; 40:397-403. [PMID: 3786288] [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: 01/07/2023]
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27
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Gerischer H, Lübke M, Sorg N. A Study of the Chemical Dissolution of Semiconductors in Aqueous Electrolytes with Zinc Oxide as Example. ACTA ACUST UNITED AC 1986. [DOI: 10.1524/zpch.1986.148.1.011] [Citation(s) in RCA: 8] [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: 11/24/2022]
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28
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Meffert H, Wischnewsky G, Günther W, Lübke M. [Darkness effect in photochemotherapy. I. Effect of 8-methoxypsoralen on the epidermal patch test in allergic contact eczema]. Dermatol Monatsschr 1983; 169:46-8. [PMID: 6832441] [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: 01/22/2023]
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29
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Sönnichsen N, Grosser V, Lübke M. [Characteristics of psoriasis in childhood]. Dermatol Monatsschr 1979; 165:606-8. [PMID: 510646] [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: 12/15/2022]
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Sönnichsen N, Meffert H, Herter A, Lübke M, Metz D, Elste G, Schulze P. [Conventional external therapy of psoriasis vulgaris]. Dermatol Monatsschr 1978; 164:81-8. [PMID: 648690] [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: 12/23/2022]
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Gerischer H, Hein F, Lübke M, Meyer E, Pettinger B, Schöppel HR. Der Einfluß von mechanish erzeugten Gitterdefekten auf das Randschichtverhalten des Kontaktes ZnO/Elektrolyt. Colloid Polym Sci 1974. [DOI: 10.1007/bf01566635] [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: 10/25/2022]
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Damaschke K, Lübke M. Die Wirkung verschiedener Gifte auf die Entstehung von Wasserstoff bei Belichtung anaerob inkubierter Chlorella pyrenoidosa. Zeitschrift für Naturforschung B 1958. [DOI: 10.1515/znb-1958-0309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Mit Hilfe einer elektrochemischen H2-Meßmethode wurde ein vorübergehendes Auftreten von molekularem Wasserstoff bei Belichtung anaerob inkubierter Zellen beobachtet. Die H2-Menge lag in der Größenordnung von 1 · 10-5 Mol/l und war von der Inkubationszeit abhängig. Es wurde die Wirkung verschiedener Gifte auf diesen Effekt untersucht
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Affiliation(s)
- K. Damaschke
- Aus der Bundesanstalt für Materialprüfung, Berlin-Dahlem
| | - M. Lübke
- Aus der Bundesanstalt für Materialprüfung, Berlin-Dahlem
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