ArticleNature2015
T-cell exhaustion, co-stimulation and clinical outcome in autoimmunity and infection.
Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 422 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
422 citing papers in PubMed, 1 synthesis or guideline pooled it, 674 citations in OpenAlex.
- Prognosis of immune checkpoint inhibitor-induced myasthenia gravis: a single center experience and systematic review.Frontiers in neurology · 2024Pooled it
- Safety and efficacy of human gingiva-derived mesenchymal stem cells in patients with type 1 diabetes: a double-blind, randomized, placebo-controlled, phase 1 trial.Signal transduction and targeted therapy · 2026Trial
- Comparison of efficacy discrepancy between early-phase clinical trials and phase III trials of PD-1/PD-L1 inhibitors.Journal for immunotherapy of cancer · 2024Trial
- Association of baseline soluble immune checkpoints with the risk of relapse in PR3-ANCA vasculitis following induction of remission.Annals of the rheumatic diseases · 2023Trial
- Temperature extremes and autoimmune diseases.Seminars in immunopathology · 2026Review
- Going to the source: pancreatic lymph nodes maintain stem-like CD8+ T cells in human type 1 diabetes.The Journal of clinical investigation · 2026Article
- Immune checkpoints and immunoregulation in metabolic diseases and cancers: pathological mechanisms and therapeutic potential.Signal transduction and targeted therapy · 2026Review
- The multifaceted landscape of T cell exhaustion in organ transplantation: From molecular mechanisms (epigenetics, transcription, metabolism) to induction strategies.Genes & diseases · 2026Review
- Article
- Unconventional role of hydroxymethylglutaryl-CoA synthase 1 in driving pathogenic TScience advances · 2026Article
- Anti-neutrophil cytoplasmic antibody-associated vasculitis: biological insights and biomarker-guided disease management.Nature reviews. Nephrology · 2026Review
- Cellular hallmarks and aging clock of the human lung parenchyma.Nature communications · 2026Article
- Multiomic analysis identifies glutaminolysis-dependent metabolic enhancement of immune memory utilised for vaccine development.Nature communications · 2026Article
- HLA-DRRespiratory research · 2026Article
- A symposium update on the key perspectives in systemic sclerosis and systemic lupus erythematosus.Journal of translational autoimmunity · 2026Review
- A surviving beta cell subpopulation enriched in patients with T1D.bioRxiv : the preprint server for biology · 2026Article
- Epithelial CD155-TIGIT/CD226 signaling links CD8⁺ T-cell exhaustion to frequent exacerbations in COPD.Respiratory research · 2026Observational
- From Genes to Pathways: The Molecular Landscape of Systemic Lupus Erythematosus.International journal of molecular sciences · 2026Review
- New and emerging therapies in type 1 diabetes mellitus.The Journal of clinical investigation · 2026Review
- Biological multi-omics approaches to next-generation biomarkers in immune-related disorders and malignancies: An overview.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
362 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The clinical course of autoimmune and infectious disease varies greatly, even between individuals with the same condition. An understanding of the molecular basis for this heterogeneity could lead to significant improvements in both monitoring and treatment. During chronic infection the process of T-cell exhaustion inhibits the immune response, facilitating viral persistence. Here we show that a transcriptional signature reflecting CD8 T-cell exhaustion is associated with poor clearance of chronic viral infection, but conversely predicts better prognosis in multiple autoimmune diseases. The development of CD8 T-cell exhaustion during chronic infection is driven both by persistence of antigen and by a lack of accessory 'help' signals. In autoimmunity, we find that where evidence of CD4 T-cell co-stimulation is pronounced, that of CD8 T-cell exhaustion is reduced. We can reproduce the exhaustion signature by modifying the balance of persistent stimulation of T-cell antigen receptors and specific CD2-induced co-stimulation provided to human CD8 T cells in vitro, suggesting that each process plays a role in dictating outcome in autoimmune disease. The 'non-exhausted' T-cell state driven by CD2-induced co-stimulation is reduced by signals through the exhaustion-associated inhibitory receptor PD-1, suggesting that induction of exhaustion may be a therapeutic strategy in autoimmune and inflammatory disease. Using expression of optimal surrogate markers of co-stimulation/exhaustion signatures in independent data sets, we confirm an association with good clinical outcome or response to therapy in infection (hepatitis C virus) and vaccination (yellow fever, malaria, influenza), but poor outcome in autoimmune and inflammatory disease (type 1 diabetes, anti-neutrophil cytoplasmic antibody-associated vasculitis, systemic lupus erythematosus, idiopathic pulmonary fibrosis and dengue haemorrhagic fever). Thus, T-cell exhaustion plays a central role in determining outcome in autoimmune disease and targeted manipulation of this process could lead to new therapeutic opportunities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.