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Long SA, Linsley PS. Integrating Omics into Functional Biomarkers of Type 1 Diabetes. Cold Spring Harb Perspect Med 2024; 14:a041602. [PMID: 38772709 PMCID: PMC11216170 DOI: 10.1101/cshperspect.a041602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2024]
Abstract
Biomarkers are critical to the staging and diagnosis of type 1 diabetes (T1D). Functional biomarkers offer insights into T1D immunopathogenesis and are often revealed using "omics" approaches that integrate multiple measures to identify involved pathways and functions. Application of the omics biomarker discovery may enable personalized medicine approaches to circumvent the more recently appreciated heterogeneity of T1D progression and treatment. Use of omics to define functional biomarkers is still in its early years, yet findings to date emphasize the role of cytokine signaling and adaptive immunity in biomarkers of progression and response to therapy. Here, we share examples of the use of omics to define functional biomarkers focusing on two signatures, T-cell exhaustion and T-cell help, which have been associated with outcomes in both the natural history and treatment contexts.
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Affiliation(s)
- S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, Washington 98101, USA
| | - Peter S Linsley
- Center for Systems Immunology, Benaroya Research Institute, Seattle, Washington 98101, USA
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Linsley PS, Nakayama M, Balmas E, Chen J, Barahmand-Pour-Whitman F, Bansal S, Bottorff T, Serti E, Speake C, Pugliese A, Cerosaletti K. Germline-like TCR-α chains shared between autoreactive T cells in blood and pancreas. Nat Commun 2024; 15:4971. [PMID: 38871688 PMCID: PMC11176301 DOI: 10.1038/s41467-024-48833-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 05/13/2024] [Indexed: 06/15/2024] Open
Abstract
Human type 1 diabetes (T1D) is caused by autoimmune attack on the insulin-producing pancreatic beta cells by islet antigen-reactive T cells. How human islet antigen-reactive (IAR) CD4+ memory T cells from peripheral blood affect T1D progression in the pancreas is poorly understood. Here, we aim to determine if IAR T cells in blood could be detected in pancreas. We identify paired αβ (TRA/TRB) T cell receptors (TCRs) in IAR T cells from the blood of healthy, at-risk, new-onset, and established T1D donors, and measured sequence overlap with TCRs in pancreata from healthy, at risk and T1D organ donors. We report extensive TRA junction sharing between IAR T cells and pancreas-infiltrating T cells (PIT), with perfect-match or single-mismatch TRA junction amino acid sequences comprising ~29% total unique IAR TRA junctions (942/3,264). PIT-matched TRA junctions were largely public and enriched for TRAV41 usage, showing significant nucleotide sequence convergence, increased use of germline-encoded versus non-templated residues in epitope engagement, and a potential for cross-reactivity. Our findings thus link T cells with distinctive germline-like TRA chains in the peripheral blood with T cells in the pancreas.
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Affiliation(s)
- Peter S Linsley
- Benaroya Research Institute at Virginia Mason, Seattle, WA, USA.
| | - Maki Nakayama
- Barbara Davis Center for Childhood Diabetes, Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Elisa Balmas
- Benaroya Research Institute at Virginia Mason, Seattle, WA, USA
| | - Janice Chen
- Benaroya Research Institute at Virginia Mason, Seattle, WA, USA
| | | | - Shubham Bansal
- Benaroya Research Institute at Virginia Mason, Seattle, WA, USA
| | - Ty Bottorff
- Benaroya Research Institute at Virginia Mason, Seattle, WA, USA
| | | | - Cate Speake
- Benaroya Research Institute at Virginia Mason, Seattle, WA, USA
| | - Alberto Pugliese
- Department of Diabetes Immunology & The Wanek Family Project for Type 1 Diabetes, Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, CA, USA
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Yu X, Pan M, Ye J, Hathaway CA, Tworoger SS, Lea J, Li B. Quantifiable TCR repertoire changes in prediagnostic blood specimens among patients with high-grade ovarian cancer. Cell Rep Med 2024:101612. [PMID: 38878776 DOI: 10.1016/j.xcrm.2024.101612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 04/16/2024] [Accepted: 05/20/2024] [Indexed: 06/25/2024]
Abstract
High-grade ovarian cancer (HGOC) is a major cause of death in women. Early detection of HGOC usually leads to a cure, yet it remains a clinical challenge with over 90% HGOCs diagnosed at advanced stages. This is mainly because conventional biomarkers are not sensitive enough to detect the microscopic yet metastatic early lesions. In this study, we sequence the blood T cell receptor (TCR) repertoires of 466 patients with ovarian cancer and controls and systematically investigate the immune repertoire signatures in HGOCs. We observe quantifiable changes of selected TCRs in HGOCs that are reproducible in multiple independent cohorts. Importantly, these changes are stronger during stage I. Using pre-diagnostic patient blood samples from the Nurses' Health Study, we confirm that HGOC signals can be detected in the blood TCR repertoire up to 4 years preceding conventional diagnosis. Our findings may provide the basis for future immune-based HGOC early detection criteria.
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Affiliation(s)
- Xuexin Yu
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mingyao Pan
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jianfeng Ye
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | | | - Shelley S Tworoger
- Knight Cancer Institute and Division of Oncological Sciences, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jayanthi Lea
- Department of Gynecology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Bo Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Mitchell AM, Baschal EE, McDaniel KA, Fleury T, Choi H, Pyle L, Yu L, Rewers MJ, Nakayama M, Michels AW. Tracking DNA-based antigen-specific T cell receptors during progression to type 1 diabetes. SCIENCE ADVANCES 2023; 9:eadj6975. [PMID: 38064552 PMCID: PMC10708189 DOI: 10.1126/sciadv.adj6975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023]
Abstract
T cells targeting self-proteins are important mediators in autoimmune diseases. T cells express unique cell-surface receptors (TCRs) that recognize peptides presented by major histocompatibility molecules. TCRs have been identified from blood and pancreatic islets of individuals with type 1 diabetes (T1D). Here, we tracked ~1700 known antigen-specific TCR sequences, islet antigen or viral reactive, in bulk TCRβ sequencing from longitudinal blood DNA samples in at-risk cases who progressed to T1D, age/sex/human leukocyte antigen-matched controls, and a new-onset T1D cohort. Shared and frequent antigen-specific TCRβ sequences were identified in all three cohorts, and viral sequences were present across all ages. Islet sequences had different patterns of accumulation based upon antigen specificity in the at-risk cases. Furthermore, 73 islet-antigen TCRβ sequences were present in higher frequencies and numbers in T1D samples relative to controls. The total number of these disease-associated TCRβ sequences inversely correlated with age at clinical diagnosis, indicating the potential to use disease-relevant TCR sequences as biomarkers in autoimmune disorders.
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Affiliation(s)
- Angela M. Mitchell
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Erin E. Baschal
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kristen A. McDaniel
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Theodore Fleury
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Hyelin Choi
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Laura Pyle
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Biostatistics and Informatics, University of Colorado School of Public Health, Aurora, CO, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Marian J. Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maki Nakayama
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Aaron W. Michels
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology, University of Colorado School of Medicine, Aurora, CO, USA
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Linsley P, Nakayama M, Balmas E, Chen J, Pour F, Bansal S, Serti E, Speake C, Pugliese A, Cerosaletti K. Self-reactive germline-like TCR alpha chains shared between blood and pancreas. RESEARCH SQUARE 2023:rs.3.rs-3446917. [PMID: 37886513 PMCID: PMC10602137 DOI: 10.21203/rs.3.rs-3446917/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Human islet antigen reactive CD4 + memory T cells (IAR T cells) from peripheral blood have been studied extensively for their role in the pathogenesis of autoimmune type 1 diabetes (T1D). However, IAR T cells are rare, and it remains poorly understood how they affect T1D progression in the pancreas. Using single cell RNA-sequencing coupled with a multiplexed activation induced marker (AIM) enrichment assay, we identified paired TCR alpha/beta (TRA/TRB) T cell receptors (TCRs) in IAR T cells from the blood of healthy, at-risk, new onset, and established T1D donors. Using TCR sequences as barcodes, we measured infiltration of IAR T cells from blood into pancreas of organ donors with and without T1D. We detected extensive TCR sharing between IAR T cells from peripheral blood and pancreatic infiltrating T cells (PIT), with perfectly matched or single mismatched TRA junctions and J gene regions, comprising ~ 34% of unique IAR TCRs. PIT-matching IAR T cells had public TRA chains that showed increased use of germline-encoded residues in epitope engagement and a propensity for cross-reactivity. The link with T cells in the pancreas implicates autoreactive IAR T cells with shared TRA junctions and increased levels in blood with the prediabetic and new onset phases of T1D progression.
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