1
|
Kovaleva VA, Pattinson DJ, Barton C, Chapin SR, Minervina AA, Richards KA, Sant AJ, Thomas PG, Pogorelyy MV, Meyer HV. copepodTCR: Identification of Antigen-Specific T Cell Receptors with combinatorial peptide pooling. bioRxiv 2024:2023.11.28.569052. [PMID: 38077028 PMCID: PMC10705480 DOI: 10.1101/2023.11.28.569052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
T cell receptor (TCR) repertoire diversity enables the orchestration of antigen-specific immune responses against the vast space of possible pathogens. Identifying TCR/antigen binding pairs from the large TCR repertoire and antigen space is crucial for biomedical research. Here, we introduce copepodTCR, an open-access tool for the design and interpretation of high-throughput experimental assays to determine TCR specificity. copepodTCR implements a combinatorial peptide pooling scheme for efficient experimental testing of T cell responses against large overlapping peptide libraries, useful for "deorphaning" TCRs of unknown specificity. The scheme detects experimental errors and, coupled with a hierarchical Bayesian model for unbiased results interpretation, identifies the response-eliciting peptide for a TCR of interest out of hundreds of peptides tested using a simple experimental set-up. We experimentally validated our approach on a library of 253 overlapping peptides covering the SARS-CoV-2 spike protein. We provide experimental guides for efficient design of larger screens covering thousands of peptides which will be crucial for the identification of antigen-specific T cells and their targets from limited clinical material.
Collapse
Affiliation(s)
- Vasilisa A Kovaleva
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - David J Pattinson
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711, USA
| | - Carl Barton
- Birkbeck, University of London, WC1E 7HX London, UK
| | - Sarah R Chapin
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Anastasia A Minervina
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Katherine A Richards
- David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Andrea J Sant
- David H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Mikhail V Pogorelyy
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Hannah V Meyer
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| |
Collapse
|
2
|
Banerjee A, Pattinson DJ, Wincek CL, Bunk P, Chapin SR, Navlakha S, Meyer HV. BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database. bioRxiv 2024:2024.01.22.576714. [PMID: 38370810 PMCID: PMC10871174 DOI: 10.1101/2024.01.22.576714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Predicting T cell receptor (TCR) activation is challenging due to the lack of both unbiased benchmarking datasets and computational methods that are sensitive to small mutations to a peptide. To address these challenges, we curated a comprehensive database encompassing complete single amino acid mutational assays of 10,750 TCR-peptide pairs, centered around 14 immunogenic peptides against 66 TCRs. We then present an interpretable Bayesian model, called BATMAN, that can predict the set of peptides that activates a TCR. When validated on our database, BATMAN outperforms existing methods by 20% and reveals important biochemical predictors of TCR-peptide interactions.
Collapse
Affiliation(s)
- Amitava Banerjee
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - David J Pattinson
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711, USA
| | - Cornelia L. Wincek
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Heidelberg University, 69117 Heidelberg, Germany
| | - Paul Bunk
- School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sarah R. Chapin
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Saket Navlakha
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Hannah V. Meyer
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| |
Collapse
|
3
|
Loh L, Carcy S, Krovi HS, Domenico J, Spengler A, Lin Y, Torres J, Palmer W, Norman PJ, Stone M, Brunetti T, Meyer HV, Gapin L. Unraveling the Phenotypic States of Human innate-like T Cells: Comparative Insights with Conventional T Cells and Mouse Models. bioRxiv 2023:2023.12.07.570707. [PMID: 38105962 PMCID: PMC10723458 DOI: 10.1101/2023.12.07.570707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The "innate-like" T cell compartment, known as Tinn, represents a diverse group of T cells that straddle the boundary between innate and adaptive immunity, having the ability to mount rapid responses following activation. In mice, this ability is acquired during thymic development. We explored the transcriptional landscape of Tinn compared to conventional T cells (Tconv) in the human thymus and blood using single cell RNA sequencing and flow cytometry. We reveal that in human blood, the majority of Tinn cells, including iNKT, MAIT, and Vδ2+Vγ9+ T cells, share an effector program characterized by the expression of unique chemokine and cytokine receptors, and cytotoxic molecules. This program is driven by specific transcription factors, distinct from those governing Tconv cells. Conversely, only a fraction of thymic Tinn cells displays an effector phenotype, while others share transcriptional features with developing Tconv cells, indicating potential divergent developmental pathways. Unlike the mouse, human Tinn cells do not differentiate into multiple effector subsets but develop a mixed type I/type III effector potential. To conduct a comprehensive cross-species analysis, we constructed a murine Tinn developmental atlas and uncovered additional species-specific distinctions, including the absence of type II Tinn cells in humans, which implies distinct immune regulatory mechanisms across species. The study provides insights into the development and functionality of Tinn cells, emphasizing their role in immune responses and their potential as targets for therapeutic interventions.
Collapse
Affiliation(s)
- Liyen Loh
- University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Salomé Carcy
- School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | - Yong Lin
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Joshua Torres
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - William Palmer
- University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Paul J. Norman
- University of Colorado Anschutz Medical Campus, Aurora, USA
| | | | - Tonya Brunetti
- University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Hannah V. Meyer
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Laurent Gapin
- University of Colorado Anschutz Medical Campus, Aurora, USA
| |
Collapse
|
4
|
Kleeman SO, Thakir TM, Demestichas B, Mourikis N, Loiero D, Ferrer M, Bankier S, Riazat-Kesh YJ, Lee H, Chantzichristos D, Regan C, Preall J, Sinha S, Rosin N, Yipp B, de Almeida LG, Biernaskie J, Dufour A, Tober-Lau P, Ruusalepp A, Bjorkegren JL, Ralser M, Kurth F, Demichev V, Heywood T, Gao Q, Johannsson G, Koelzer VH, Walker BR, Meyer HV, Janowitz T. Cystatin C is glucocorticoid responsive, directs recruitment of Trem2+ macrophages, and predicts failure of cancer immunotherapy. Cell Genom 2023; 3:100347. [PMID: 37601967 PMCID: PMC10435381 DOI: 10.1016/j.xgen.2023.100347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 03/23/2023] [Accepted: 05/30/2023] [Indexed: 08/22/2023]
Abstract
Cystatin C (CyC), a secreted cysteine protease inhibitor, has unclear biological functions. Many patients exhibit elevated plasma CyC levels, particularly during glucocorticoid (GC) treatment. This study links GCs with CyC's systemic regulation by utilizing genome-wide association and structural equation modeling to determine CyC production genetics in the UK Biobank. Both CyC production and a polygenic score (PGS) capturing predisposition to CyC production were associated with increased all-cause and cancer-specific mortality. We found that the GC receptor directly targets CyC, leading to GC-responsive CyC secretion in macrophages and cancer cells. CyC-knockout tumors displayed significantly reduced growth and diminished recruitment of TREM2+ macrophages, which have been connected to cancer immunotherapy failure. Furthermore, the CyC-production PGS predicted checkpoint immunotherapy failure in 685 patients with metastatic cancer from combined clinical trial cohorts. In conclusion, CyC may act as a GC effector pathway via TREM2+ macrophage recruitment and may be a potential target for combination cancer immunotherapy.
Collapse
Affiliation(s)
- Sam O. Kleeman
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | - Dominik Loiero
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Miriam Ferrer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Sean Bankier
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | | | - Hassal Lee
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Dimitrios Chantzichristos
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Endocrinology Diabetes and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Claire Regan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Sarthak Sinha
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Nicole Rosin
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Bryan Yipp
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Luiz G.N. de Almeida
- Department of Biochemistry and Molecular Biology and Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | - Jeff Biernaskie
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
- Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Antoine Dufour
- Department of Biochemistry and Molecular Biology and Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | | | - Arno Ruusalepp
- Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
| | - Johan L.M. Bjorkegren
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Markus Ralser
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Florian Kurth
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Todd Heywood
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Qing Gao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Gudmundur Johannsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Endocrinology Diabetes and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Viktor H. Koelzer
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Oncology and Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Brian R. Walker
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Tobias Janowitz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Cancer Institute, Northwell Health, New Hyde Park, NY, USA
| |
Collapse
|
5
|
Mou H, Eskiocak O, Özler KA, Gorman M, Yue J, Jin Y, Wang Z, Gao Y, Janowitz T, Meyer HV, Yu T, Wilkinson JE, Kucukural A, Ozata DM, Beyaz S. CRISPR-induced exon skipping of β-catenin reveals tumorigenic mutants driving distinct subtypes of liver cancer. J Pathol 2023; 259:415-427. [PMID: 36641763 PMCID: PMC10273193 DOI: 10.1002/path.6054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 12/01/2022] [Accepted: 01/12/2023] [Indexed: 01/16/2023]
Abstract
CRISPR/Cas9-driven cancer modeling studies are based on the disruption of tumor suppressor genes by small insertions or deletions (indels) that lead to frame-shift mutations. In addition, CRISPR/Cas9 is widely used to define the significance of cancer oncogenes and genetic dependencies in loss-of-function studies. However, how CRISPR/Cas9 influences gain-of-function oncogenic mutations is elusive. Here, we demonstrate that single guide RNA targeting exon 3 of Ctnnb1 (encoding β-catenin) results in exon skipping and generates gain-of-function isoforms in vivo. CRISPR/Cas9-mediated exon skipping of Ctnnb1 induces liver tumor formation in synergy with YAPS127A in mice. We define two distinct exon skipping-induced tumor subtypes with different histological and transcriptional features. Notably, ectopic expression of two exon-skipped β-catenin transcript isoforms together with YAPS127A phenocopies the two distinct subtypes of liver cancer. Moreover, we identify similar CTNNB1 exon-skipping events in patients with hepatocellular carcinoma. Collectively, our findings advance our understanding of β-catenin-related tumorigenesis and reveal that CRISPR/Cas9 can be repurposed, in vivo, to study gain-of-function mutations of oncogenes in cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Haiwei Mou
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Onur Eskiocak
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Kadir A. Özler
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Megan Gorman
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Junjiayu Yue
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Ying Jin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Zhikai Wang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Ya Gao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | - Tianxiong Yu
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, USA
| | - John E Wilkinson
- Department of Comparative Medicine, University of Washington, Seattle, WA, USA
| | - Alper Kucukural
- Bioinformatics Core, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, USA
| | - Deniz M. Ozata
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, S-106 91 Stockholm, Sweden
| | - Semir Beyaz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| |
Collapse
|
6
|
Carter JA, Strömich L, Peacey M, Chapin SR, Velten L, Steinmetz LM, Brors B, Pinto S, Meyer HV. Transcriptomic diversity in human medullary thymic epithelial cells. Nat Commun 2022; 13:4296. [PMID: 35918316 PMCID: PMC9345899 DOI: 10.1038/s41467-022-31750-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 06/30/2022] [Indexed: 12/03/2022] Open
Abstract
The induction of central T cell tolerance in the thymus depends on the presentation of peripheral self-epitopes by medullary thymic epithelial cells (mTECs). This promiscuous gene expression (pGE) drives mTEC transcriptomic diversity, with non-canonical transcript initiation, alternative splicing, and expression of endogenous retroelements (EREs) representing important but incompletely understood contributors. Here we map the expression of genome-wide transcripts in immature and mature human mTECs using high-throughput 5' cap and RNA sequencing. Both mTEC populations show high splicing entropy, potentially driven by the expression of peripheral splicing factors. During mTEC maturation, rates of global transcript mis-initiation increase and EREs enriched in long terminal repeat retrotransposons are up-regulated, the latter often found in proximity to differentially expressed genes. As a resource, we provide an interactive public interface for exploring mTEC transcriptomic diversity. Our findings therefore help construct a map of transcriptomic diversity in the healthy human thymus and may ultimately facilitate the identification of those epitopes which contribute to autoimmunity and immune recognition of tumor antigens.
Collapse
Affiliation(s)
- Jason A. Carter
- grid.225279.90000 0004 0387 3667Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA ,grid.36425.360000 0001 2216 9681Medical Scientist Training Program, Stony Brook University, Stony Brook, NY USA ,grid.34477.330000000122986657Department of Surgery, University of Washington, Seattle, WA USA
| | - Léonie Strömich
- grid.7497.d0000 0004 0492 0584German Cancer Research Center, Heidelberg, Germany ,grid.7445.20000 0001 2113 8111Present Address: Imperial College London, London, UK
| | - Matthew Peacey
- grid.225279.90000 0004 0387 3667School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| | - Sarah R. Chapin
- grid.225279.90000 0004 0387 3667Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| | - Lars Velten
- grid.473715.30000 0004 6475 7299Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Lars M. Steinmetz
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Stanford Genome Technology Center, Palo Alto, CA USA
| | - Benedikt Brors
- grid.7497.d0000 0004 0492 0584German Cancer Research Center, Heidelberg, Germany
| | - Sheena Pinto
- grid.7497.d0000 0004 0492 0584German Cancer Research Center, Heidelberg, Germany
| | - Hannah V. Meyer
- grid.225279.90000 0004 0387 3667Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY USA
| |
Collapse
|
7
|
Kleeman SO, Cordioli M, Timmers PRJ, Khan A, Tober-Lau P, Kurth F, Demichev V, Meyer HV, Wilson JF, Ralser M, Kiryluk K, Ganna A, Baillie K, Janowitz T. Cystatin C is associated with adverse COVID-19 outcomes in diverse populations. iScience 2022; 25:105040. [PMID: 36062073 PMCID: PMC9428108 DOI: 10.1016/j.isci.2022.105040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/01/2022] [Accepted: 08/25/2022] [Indexed: 12/15/2022] Open
Abstract
COVID-19 has highly variable clinical courses. The search for prognostic host factors for COVID-19 outcome is a priority. We performed logistic regression for ICU admission against a polygenic score (PGS) for Cystatin C (CyC) production in patients with COVID-19. We analyzed the predictive value of longitudinal plasma CyC levels in an independent cohort of patients hospitalized with COVID-19. In four cohorts spanning European and African ancestry populations, we identified a significant association between CyC-production PGS and odds of critical illness (n cases=2,319), with the strongest association captured in the UKB cohort (OR 2.13, 95% CI 1.58-2.87, p=7.12e-7). Plasma proteomics from an independent cohort of hospitalized COVID-19 patients (n cases = 131) demonstrated that CyC production was associated with COVID-specific mortality (p=0.0007). Our findings suggest that CyC may be useful for stratification of patients and it has functional role in the host response to COVID-19. Cystatin C varies independently of renal function in COVID-19 A polygenic score for cystatin C production predicts critical COVID-19 illness Elevated serum cystatin C is associated with COVID-19 mortality
Collapse
|
8
|
Thanaj M, Mielke J, McGurk KA, Bai W, Savioli N, de Marvao A, Meyer HV, Zeng L, Sohler F, Lumbers RT, Wilkins MR, Ware JS, Bender C, Rueckert D, MacNamara A, Freitag DF, O'Regan DP. Genetic and environmental determinants of diastolic heart function. Nat Cardiovasc Res 2022; 1:361-371. [PMID: 35479509 PMCID: PMC7612636 DOI: 10.1038/s44161-022-00048-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Diastole is the sequence of physiological events that occur in the heart during ventricular filling and principally depends on myocardial relaxation and chamber stiffness. Abnormal diastolic function is related to many cardiovascular disease processes and is predictive of health outcomes, but its genetic architecture is largely unknown. Here, we use machine learning cardiac motion analysis to measure diastolic functional traits in 39,559 participants of the UK Biobank and perform a genome-wide association study. We identified 9 significant, independent loci near genes that are associated with maintaining sarcomeric function under biomechanical stress and genes implicated in the development of cardiomyopathy. Age, sex and diabetes were independent predictors of diastolic function and we found a causal relationship between genetically-determined ventricular stiffness and incident heart failure. Our results provide insights into the genetic and environmental factors influencing diastolic function that are relevant for identifying causal relationships and potential tractable targets.
Collapse
Affiliation(s)
- Marjola Thanaj
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
| | - Johanna Mielke
- Bayer AG, Research & Development, Pharmaceuticals, Wuppertal, Germany
| | - Kathryn A McGurk
- MRC London Institute of Medical Sciences, Imperial College London, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Wenjia Bai
- Department of Computing, Imperial College London, London, UK.,Department of Brain Sciences, Imperial College London
| | - Nicolò Savioli
- MRC London Institute of Medical Sciences, Imperial College London, London, UK.,Department of Computing, Imperial College London, London, UK
| | - Antonio de Marvao
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
| | - Hannah V Meyer
- Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, USA
| | - Lingyao Zeng
- Bayer AG, Research & Development, Pharmaceuticals, Wuppertal, Germany
| | - Florian Sohler
- Bayer AG, Research & Development, Pharmaceuticals, Wuppertal, Germany
| | | | - Martin R Wilkins
- National Heart and Lung Institute, Imperial College London, London, UK
| | - James S Ware
- MRC London Institute of Medical Sciences, Imperial College London, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Christian Bender
- Bayer AG, Research & Development, Pharmaceuticals, Wuppertal, Germany
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK.,Institute for Artificial Intelligence and Informatics, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Aidan MacNamara
- Bayer AG, Research & Development, Pharmaceuticals, Wuppertal, Germany
| | - Daniel F Freitag
- Bayer AG, Research & Development, Pharmaceuticals, Wuppertal, Germany
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
| |
Collapse
|
9
|
Beyaz S, Chung C, Mou H, Bauer-Rowe KE, Xifaras ME, Ergin I, Dohnalova L, Biton M, Shekhar K, Eskiocak O, Papciak K, Ozler K, Almeqdadi M, Yueh B, Fein M, Annamalai D, Valle-Encinas E, Erdemir A, Dogum K, Shah V, Alici-Garipcan A, Meyer HV, Özata DM, Elinav E, Kucukural A, Kumar P, McAleer JP, Fox JG, Thaiss CA, Regev A, Roper J, Orkin SH, Yilmaz ÖH. Dietary suppression of MHC class II expression in intestinal epithelial cells enhances intestinal tumorigenesis. Cell Stem Cell 2021; 28:1922-1935.e5. [PMID: 34529935 DOI: 10.1016/j.stem.2021.08.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [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: 10/19/2020] [Revised: 05/25/2021] [Accepted: 08/10/2021] [Indexed: 12/12/2022]
Abstract
Little is known about how interactions of diet, intestinal stem cells (ISCs), and immune cells affect early-stage intestinal tumorigenesis. We show that a high-fat diet (HFD) reduces the expression of the major histocompatibility complex class II (MHC class II) genes in intestinal epithelial cells, including ISCs. This decline in epithelial MHC class II expression in a HFD correlates with reduced intestinal microbiome diversity. Microbial community transfer experiments suggest that epithelial MHC class II expression is regulated by intestinal flora. Mechanistically, pattern recognition receptor (PRR) and interferon-gamma (IFNγ) signaling regulates epithelial MHC class II expression. MHC class II-negative (MHC-II-) ISCs exhibit greater tumor-initiating capacity than their MHC class II-positive (MHC-II+) counterparts upon loss of the tumor suppressor Apc coupled with a HFD, suggesting a role for epithelial MHC class II-mediated immune surveillance in suppressing tumorigenesis. ISC-specific genetic ablation of MHC class II increases tumor burden cell autonomously. Thus, HFD perturbs a microbiome-stem cell-immune cell interaction that contributes to tumor initiation in the intestine.
Collapse
Affiliation(s)
- Semir Beyaz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Howard Hughes Medical Institute, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA.
| | - Charlie Chung
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Haiwei Mou
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Khristian E Bauer-Rowe
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA
| | - Michael E Xifaras
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA
| | - Ilgin Ergin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Lenka Dohnalova
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Moshe Biton
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; The Department of Biological Regulation, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Karthik Shekhar
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Chemical and Biomolecular Engineering, Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA
| | - Onur Eskiocak
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Kadir Ozler
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Mohammad Almeqdadi
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA
| | - Brian Yueh
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Miriam Fein
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Damodaran Annamalai
- Division of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Eider Valle-Encinas
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA
| | - Aysegul Erdemir
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA
| | - Karoline Dogum
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA
| | - Vyom Shah
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Hannah V Meyer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Deniz M Özata
- RNA Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Eran Elinav
- Department of Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Alper Kucukural
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Pawan Kumar
- Department of Microbiology and Immunology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | - Jeremy P McAleer
- Department of Pharmaceutical Science and Research, Marshall University School of Pharmacy, Huntington, WV 25701, USA
| | - James G Fox
- Division of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Christoph A Thaiss
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aviv Regev
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA
| | - Jatin Roper
- Department of Medicine, Division of Gastroenterology, Duke University, Durham, NC 27710, USA
| | - Stuart H Orkin
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Howard Hughes Medical Institute, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA.
| | - Ömer H Yilmaz
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, MIT, Cambridge, MA 02139, USA; Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
| |
Collapse
|
10
|
Williams EH, Flint TR, Connell CM, Giglio D, Lee H, Ha T, Gablenz E, Bird NJ, Weaver JMJ, Potts H, Whitley CT, Bookman MA, Lynch AG, Meyer HV, Tavaré S, Janowitz T. CamGFR v2: A New Model for Estimating the Glomerular Filtration Rate from Standardized or Non-standardized Creatinine in Patients with Cancer. Clin Cancer Res 2021; 27:1381-1390. [PMID: 33303580 PMCID: PMC9097346 DOI: 10.1158/1078-0432.ccr-20-3201] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 10/27/2020] [Accepted: 12/04/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Management of patients with cancer, specifically carboplatin dosing, requires accurate knowledge of glomerular filtration rate (GFR). Direct measurement of GFR is resource limited. Available models for estimated GFR (eGFR) are optimized for patients without cancer and either isotope dilution mass spectrometry (IDMS)- or non-IDMS-standardized creatinine measurements. We present an eGFR model for patients with cancer compatible with both creatinine measurement methods. EXPERIMENTAL DESIGN GFR measurements, biometrics, and IDMS- or non-IDMS-standardized creatinine values were collected for adult patients from three cancer centers. Using statistical modeling, an IDMS and non-IDMS creatinine-compatible eGFR model (CamGFR v2) was developed. Its performance was compared with that of the existing models Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Modification of Diet in Renal Disease (MDRD), Full Age Spectrum (FAS), Lund-Malmö revised, and CamGFR v1, using statistics for bias, precision, accuracy, and clinical robustness. RESULTS A total of 3,083 IDMS- and 4,612 non-IDMS-standardized creatinine measurements were obtained from 7,240 patients. IDMS-standardized creatinine values were lower than non-IDMS-standardized values in within-center comparisons (13.8% lower in Cambridge; P < 0.0001 and 19.3% lower in Manchester; P < 0.0001), and more consistent between centers. CamGFR v2 was the most accurate [root-mean-squared error for IDMS, 14.97 mL/minute (95% confidence interval, 13.84-16.13) and non-IDMS, 15.74 mL/minute (14.86-16.63)], most clinically robust [proportion with >20% error of calculated carboplatin dose for IDMS, 0.12 (0.09-0.14) and non-IDMS, 0.17 (0.15-0.2)], and least biased [median residual for IDMS, 0.73 mL/minute (-0.68 to 2.2) and non-IDMS, -0.43 mL/minute (-1.48 to 0.91)] eGFR model, particularly when eGFR was larger than 60 ml/minute. CONCLUSIONS CamGFR v2 can utilize IDMS- and non-IDMS-standardized creatinine measurements and outperforms previous models. CamGFR v2 should be examined prospectively as a practice-changing standard of care for eGFR-based carboplatin dosing.
Collapse
Affiliation(s)
- Edward H Williams
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
| | - Thomas R Flint
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, England, United Kingdom
| | - Claire M Connell
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
- University of Cambridge, Cambridge, England, United Kingdom
| | - Daniel Giglio
- Department of Oncology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Hassal Lee
- University of Cambridge School of Clinical Medicine, Cambridge, England, United Kingdom
| | - Taehoon Ha
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
| | - Eva Gablenz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
| | - Nicholas J Bird
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, England, United Kingdom
| | - James M J Weaver
- The Christie NHS Foundation Trust, Manchester, England, United Kingdom
- University of Manchester, Manchester, England, United Kingdom
| | - Harry Potts
- University of Cambridge School of Clinical Medicine, Cambridge, England, United Kingdom
| | - Cameron T Whitley
- University of Cambridge School of Clinical Medicine, Cambridge, England, United Kingdom
| | - Michael A Bookman
- Gynecologic Oncology Therapeutics, Kaiser Permanente, San Francisco, California
| | - Andy G Lynch
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
- School of Medicine, University of St Andrews, St Andrews, Scotland, United Kingdom
- School of Mathematics and Statistics, University of St Andrews, St Andrews, Scotland, United Kingdom
| | - Hannah V Meyer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
| | - Simon Tavaré
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
- Columbia University, New York, New York
| | - Tobias Janowitz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York.
- Northwell Health, New York, New York
| |
Collapse
|
11
|
Keil M, Sonner JK, Lanz TV, Oezen I, Bunse T, Bittner S, Meyer HV, Meuth SG, Wick W, Platten M. General control non-derepressible 2 (GCN2) in T cells controls disease progression of autoimmune neuroinflammation. J Neuroimmunol 2016; 297:117-26. [PMID: 27397084 DOI: 10.1016/j.jneuroim.2016.05.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [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: 04/04/2016] [Revised: 05/17/2016] [Accepted: 05/19/2016] [Indexed: 02/07/2023]
Abstract
Relapsing-remitting multiple sclerosis (MS)(2) is characterized by phases of acute neuroinflammation followed by spontaneous remission. Termination of inflammation is accompanied by an influx of regulatory T cells (Tregs).(3) The molecular mechanisms responsible for directing Tregs into the inflamed CNS tissue, however, are incompletely understood. In an MS mouse model we show that the stress kinase general control non-derepressible 2 (GCN2),(4) expressed in T cells, contributes to the resolution of autoimmune neuroinflammation. Failure to recover from acute inflammation was associated with reduced frequencies of CNS-infiltrating Tregs. GCN2 deficient Tregs displayed impaired migration to a CCL2 gradient. These data suggest an important contribution of the T cell stress response to the resolution of autoimmune neuroinflammation.
Collapse
MESH Headings
- Animals
- Annexin A5/metabolism
- Astrocytes/metabolism
- Brain/cytology
- Cell Movement/physiology
- Cytokines/metabolism
- Cytokines/pharmacology
- Disease Models, Animal
- Disease Progression
- Encephalomyelitis, Autoimmune, Experimental/immunology
- Encephalomyelitis, Autoimmune, Experimental/physiopathology
- Endothelial Cells/physiology
- Female
- Flow Cytometry
- Male
- Mice
- Mice, Inbred C57BL
- Mice, Transgenic
- Myelin-Oligodendrocyte Glycoprotein/toxicity
- Peptide Fragments/toxicity
- Protein Serine-Threonine Kinases/genetics
- Protein Serine-Threonine Kinases/metabolism
- Statistics, Nonparametric
- T-Lymphocytes, Regulatory/drug effects
- T-Lymphocytes, Regulatory/physiology
- Time Factors
Collapse
Affiliation(s)
- Melanie Keil
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Jana K Sonner
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Tobias V Lanz
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Department of Neurology and National Center of Tumor Diseases (NCT), University Hospital Heidelberg, Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
| | - Iris Oezen
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Theresa Bunse
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Stefan Bittner
- Department of Neurology, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany.
| | - Hannah V Meyer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
| | - Sven G Meuth
- Department of Neurology, University of Muenster, Albert-Schweitzer-Campus 1, 48149 Muenster, Germany.
| | - Wolfgang Wick
- Department of Neurology and National Center of Tumor Diseases (NCT), University Hospital Heidelberg, Im Neuenheimer Feld 460, 69120 Heidelberg, Germany; DKTK Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Michael Platten
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Department of Neurology and National Center of Tumor Diseases (NCT), University Hospital Heidelberg, Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
| |
Collapse
|
12
|
Marvao AD, Meyer HV, Dawes TJ, Shi W, Bai W, Rueckert D, Birney E, O'Regan DP, Cook S. Genome wide association analysis of the heart using high-resolution 3D cardiac MRI identifies new genetic loci underlying cardiac structure and function. J Cardiovasc Magn Reson 2016. [PMCID: PMC5032181 DOI: 10.1186/1532-429x-18-s1-q63] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|