The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
T-cell exhaustion, co-stimulation and clinical outcome in autoimmunity and infection
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Consistently, a CD8 + Tcell transcriptional profile of exhaustion correlates with beneficial outcome in AID 35,59 and response to immunotherapies. 60”
From Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases (2024) · cites this paper as [59]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
The 1982 revised criteria for the classification of systemic lupus erythematosus
Tan, E. M., Cohen, A. S., Fries, J. F., Masi, A. T., Mcshane, D. J., Rothfield, N. F., Schaller, J. G., Talal, N., & Winchester, R. J. (1982) · Arthritis & Rheumatism · doi:10.1002/art.1780251101 · Cited by 14,519
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,082
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
Cited by
Sorted by citations
Items 401–500 of 692
Stoycheva, D., Sandu, I., Gräbnitz, F., Amorim, A., Borsa, M., Weber, S., Becher, B., & Oxenius, A. (2021) · European Journal of Immunology · doi:10.1002/eji.202049068 · Cited by 10
Zeng, L., Ma, G., Chen, K., & Zhou, Q. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1242336 · Cited by 10
“T cell exhaustion, which correlates with a state of low disease activity in some autoimmune diseases, such as anti-nuclear cytoplasmic antibody (ANCA)-associated vasculitis, is also a possible explanation for this mechanism (37).”
Carney, E. F. (2015) · Nature Reviews Nephrology · doi:10.1038/nrneph.2015.115 · Cited by 10
Ding, Y., Li, H., He, X., Liao, W., Yi, Z.-W., Jia, Y., Chen, Z., Moore, D. J., Yi, Y., & Xiang, W. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198325 · Cited by 10
Big data and stratified medicine: what does it mean for children?
Ding, W. Y., Beresford, M. W., Saleem, M. A., & Ramanan, A. V. (2018) · Archives of Disease in Childhood · doi:10.1136/archdischild-2018-315125 · Cited by 10
Skejoe, C., Hansen, A. S., Stengaard‐Pedersen, K., Junker, P., Hoerslev-Pedersen, K., Hetland, M. L., Oestergaard, M. Z., Greisen, S. R., Hvid, M., Deleuran, M. S., et al. (2022) · PubMed Central · Cited by 10
Štefanić, M., Tokić, S., Stević, M. S., & Glavaš‐Obrovac, L. (2018) · Immunological Investigations · doi:10.1080/08820139.2018.1423571 · Cited by 10
“The tight regulation of BCL6 expression is thus essential, as an aberrant acquisition of Tex or Tfh phenotype affects disease severity, autoantibody levels and end-organ injury in several autoimmune disorders (McKinney et al., 2015; Pratama and Vinuesa, 2014).”
BackgroundA predictive CD8+ T cell phenotype for T1DM progression
Wong, F. S., & Li, W. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0330-3 · Cited by 10
Nigro, O., Ferrari, A., Casanova, M., Orbach, D. H., Leruste, A., Gatz, S. A., Frappaz, D., & Massimino, M. (2021) · Tumori Journal · doi:10.1177/03008916211010214 · Cited by 11
Personalized precision medicine
Konieczny, L., & Roterman, I. (2019) · Bio-Algorithms and Med-Systems · doi:10.1515/bams-2019-0047 · Cited by 9
Selck, C., Jhala, G., George, D. J. D., Kwong, C.-T. J., Christensen, M. K., Pappas, E. G., Liu, X., Ge, T., Trivedi, P., Kallies, A., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2315419121 · Cited by 10
“This benign outcome suggested that mechanisms associated with T cell exhaustion may control autoimmunity (15).”
BackgroundWang, Q., Dang, X., & Yang, W. (2024) · Clinical Immunology · doi:10.1016/j.clim.2024.110367 · Cited by 9
Piao, M., Zhang, N., Li, J., Li, C., Xun, Z., Zhang, L., Wang, S., Sun, B., Li, S., Xu, Y., et al. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.114052 · Cited by 9
Tang, M., Qaiyum, Z., Lim, M., & Inman, R. D. (2025) · iScience · doi:10.1016/j.isci.2025.112715 · Cited by 10
Lin, X., Liu, P., Jin, M. Y., & Qi, G. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1646231 · Cited by 9
“The overexpression of PD-1 is associated with a favorable prognosis in autoimmune diseases as it contributes to the exhaustion of CD8+ T cells; however, PD-1 inhibitors may exacerbate the symptoms in individuals with MG (32).”
PD-1, BTLA and TIGIT as therapeutic targets for rheumatic disease
Kuchroo, J. R., Goldman, N., & Sharpe, A. H. (2025) · Nature Reviews Rheumatology · doi:10.1038/s41584-025-01296-9 · Cited by 10
“Interestingly, an ‘exhaustion transcriptional signature’ in CD8 + T cells, which includes several immune checkpoint receptors, correlates with poor viral clearance but indicates a better prognosis for autoimmune disease 26 .”
The Role of Experiential Avoidance in Terms of Fatigue and Pain During COVID-19 Among Latinx Adults
Mayorga, N. A., Manning, K. F., Garey, L., Viana, A. G., Ditre, J. W., & Zvolensky, M. J. (2022) · Cognitive Therapy and Research · doi:10.1007/s10608-022-10292-2 · Cited by 9
CD8 is down(regulated) for tolerance
Rodríguez‐Rodríguez, N., Rosetti, F., & Crispín, J. C. (2024) · Trends in Immunology · doi:10.1016/j.it.2024.04.012 · Cited by 10
Carney, E. F. (2015) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2015.101 · Cited by 9
Have we pushed the needle for treatment of Type 1 diabetes?
Naushad, N., Perdigoto, A. L., Rui, J., & Herold, K. C. (2017) · Current Opinion in Immunology · doi:10.1016/j.coi.2017.09.004 · Cited by 9
Benson, Z., Gordon, S. W., Nicolato, P., & Poklepovic, A. S. (2017) · Case Reports in Oncological Medicine · doi:10.1155/2017/8095601 · Cited by 9
“Both play a critical role in immune regulation, and decreased gene expression is associated with an increased risk of autoimmune disease [6–9].”
PRANDOTA, J., & 5 Bartla; Str., 5.-6. W. (2018) · International Journal of Neurology Research · doi:10.17554/j.issn.2313-5611.2018.04.79 · Cited by 9
CD8+ T Cells in GCA and GPA: Bystanders or Active Contributors?
Reitsema, R. D., Boots, A. M. H., van der Geest, K. S. M., Sandovici, M., Heeringa, P., & Brouwer, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.654109 · Cited by 9
“In PR3-AAV, genome-wide association studies have revealed an association with HLA class II genes, in particular with HLA-DPB1*04:01 (85, 86).”
BackgroundInfluentialDeng, Y., Ma, J., Zhao, S., Yang, M. W., Sun, Y., & Zhang, Q. (2022) · Translational Oncology · doi:10.1016/j.tranon.2022.101614 · Cited by 9
“The purified CD8+ T by magnetic beads [21] were cultured with CD3/CD28 activators, IL-2 and PD-L1 Fc Chimera for the exhausted T cells, and were stimulated by pre-coated anti-CD3 and soluble anti-CD28 for effector T cells.”
Taroni, J., Grayson, P. C., Hu, Q., Eddy, S. F., Kretzler, M., Merkel, P. A., & Greene, C. S. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/395947 · Cited by 9
“…brushing microarray dataset (NARES dataset) that included patients with granulomatosis with polyangiitis (GPA), sarcoidosis, and healthy controls (Grayson et al., 2015) and a microarray dataset of isolated immune cell types from different autoimmune conditions (E-MTAB-2452; McKinney et al., 2015).”
BackgroundHorzum, U., Yanık, H., Taşkıran, E. Z., & Esendağlı, G. (2022) · Immunology · doi:10.1111/imm.13560 · Cited by 8
“Therefore, not only the hyporesponsive T cells but also the T cells at distinct phases of functional responsiveness can be susceptible to ICI therapeutics such as anti-PD-1 and anti-CTLA-4 monoclonal antibodies [16, 17].”
BackgroundRoccatello, D., Padoan, R., Sciascia, S., Iorio, L., Ríogh, E. N. A., & Little, M. A. (2023) · Autoimmunity Reviews · doi:10.1016/j.autrev.2023.103438 · Cited by 8
“Recent evidence also supports the concept that the presence of biomarkers of an “ exhausted ” immune system is characterised by low risk of autoimmune re-activation, but increased risk of infection [35,36].”
Sanz, I. (2017) · Arthritis & Rheumatology · doi:10.1002/art.40109 · Cited by 8
Zhu, Q., Qiao, G., Huang, L., Xu, C., Guo, D., Wang, S., Zhao, J., Song, Y., Liu, B., Chen, Z., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.837560 · Cited by 8
“antitumor or antiviral immune responses (29, 30).”
Approaches of T Cell Activation and Differentiation for CAR-T Cell Therapies
Schwab, R. D., Bedoya, D. M., King-Peoples, T. R., Levine, B. L., & Posey, A. D. (2019) · Methods in molecular biology · doi:10.1007/978-1-0716-0146-4_15 · Cited by 9
Tests that now deserve to be more widely adopted in IBD clinical practice
Labarile, N., Ghosh, S. K., Ng, S. C., Walters, J. R. F., & Iacucci, M. (2020) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756284820944088 · Cited by 9
Alikhan, M. A., Jaw, J., Shochet, L. R., Robson, K. J., Ooi, J. D., Brouwer, E., Heeringa, P., Holdsworth, S. R., & Kitching, A. R. (2021) · Lara D. Veeken · doi:10.1093/rheumatology/keab682 · Cited by 8
Zeng, X., Zheng, M., Liu, T., Bahabayi, A., Song, S., Alimu, X., Kang, R., Lu, S., Song, Y., & Liu, C. (2022) · Immunological Investigations · doi:10.1080/08820139.2022.2058403 · Cited by 8
“The exhaustion of CD8 T cells is thought to be associated with improved outcomes in autoimmune and inflammatory diseases (McKinney et al. 2015), and the unexhausted CD8 T cell phenotype can be involved in the pathogenesis of RA (Wasén et al.”
BackgroundA glance into the future of anti-neutrophil cytoplasmic antibody-associated vasculitis
Moura, M. C., Branco, C., Martins-Martinho, J., Ferraro, J. L., Berti, A., Nogueira, E., & Ponte, C. (2022) · Therapeutic Advances in Musculoskeletal Disease · doi:10.1177/1759720x221125979 · Cited by 8
The Emerging Role of Lymphocyte Activation Gene 3 in the Cancer Immunotherapy
Cui, X., Peng, M., & Chen, H. (2022) · ONCOLOGIE · doi:10.32604/oncologie.2022.023641 · Cited by 8
The plethora of immunomodulatory drugs: opportunities for immune-mediated kidney diseases
Odler, B., Tieu, J., Artinger, K., Chen-Xu, M., Arnaud, L., Kitching, A. R., Terrier, B., Thiel, J., Cid, M. C., Rosenkranz, A. R., et al. (2023) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfad186 · Cited by 9
Self-citation(2017) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-017-0288-4 · Cited by 9
Integrated multi‐omics profiling landscape of organising pneumonia
Tang, Y., Chu, C., Bu, S., Sun, Q., Liu, A., Xie, J., Qiao, S., Huang, L., & Wang, H. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.1782 · Cited by 7
“48 These findings establish a potential use of vaccination-based immunotherapies to combat fibrosis.”
BackgroundBrandacher, G., Messner, F., Al-Salmay, Y., & Kaufman, C. L. (2025) · Transplantation · doi:10.1097/tp.0000000000005450 · Cited by 7
The transcription factor TOX is involved in the regulation of T-cell exhaustion in neuroblastoma
Pei, M., Chai, W., Wang, X., Duan, Y., Wang, H., Xi, Y., Mou, W., Wang, W., Chen, X., Zhang, H., et al. (2022) · Immunology Letters · doi:10.1016/j.imlet.2022.06.004 · Cited by 8
A cross‐sectional study reveals a chronic low‐grade inflammation in achalasia
Ma, L., Liu, Z., Chen, W., Yao, L., Zhong, Y., Zhang, Y., Ma, L., Qin, W., Hu, J., Cai, M., et al. (2022) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.16091 · Cited by 7
Kado, A., Tsutsumi, T., Yotsuyanagi, H., Ikeuchi, K., Okushin, K., Moriya, K., Koike, K., & Fujishiro, M. (2023) · Journal of Gastroenterology · doi:10.1007/s00535-023-02038-y · Cited by 7
“CD4 + T cells are essential for induction of AIH, whereas CD8 + T cells are linked to progression to fatal hepatic damage [47]; in auto-immunity, where evidence of CD4 + T-cell co-stimulation is remarkable, that of CD8 + T-cell exhaustion is reduced [49].”
BackgroundIdentification of a super-functional Tfh-like subpopulation in murine lupus by pattern perception
Gryzik, S., Hoang, Y. N. T., Lischke, T., Mohr, E., Venzke, M., Kadner, I., Poetzsch, J., Groth, D., Radbruch, A., Hutloff, A., et al. (2020) · eLife · doi:10.7554/elife.53226 · Cited by 7
“Disease kinetics reveal a subsequent reduction of poly-functional memory T cells Despite the suspected importance of combinatorial expression of inhibitory receptors (such as PD-1) and cytokines for immunity (McKinney et al., 2015), to our knowledge, there are no comprehensive co-expression studies with CD4 T cells at…”
BackgroundSun, S., Chen, J., Weng, C., Lu, Y., Cai, C., & Lv, B. (2022) · Scientific Reports · doi:10.1038/s41598-022-12531-8 · Cited by 7
Cellular and molecular heterogeneity in systemic lupus erythematosus
Fava, A., & Rao, D. A. (2021) · Seminars in Immunology · doi:10.1016/j.smim.2022.101653 · Cited by 8
MLXIPL associated with tumor-infiltrating CD8+ T cells is involved in poor prostate cancer prognosis
Fan, Y., Ge, Y., Niu, K., Li, Y., Qi, L., Zhu, H., & Ma, G. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1364329 · Cited by 6
Lindbladh, I., Svärd, A. A., & Lernmark, Å. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812102-3.00041-5 · Cited by 8
Features of peripheral CD8+CD57+ lymphocytes in patients with autoimmune hemolytic anemia
Fatone, M. C., Pavone, F., Lauletta, G., & Russi, S. (2018) · Autoimmunity · doi:10.1080/08916934.2018.1477132 · Cited by 7
Emerging areas for therapeutic discovery in SLE
Maria, N. I., & Davidson, A. (2018) · Current Opinion in Immunology · doi:10.1016/j.coi.2018.09.004 · Cited by 8
“This phenotype has been associated with a lower incidence of SLE flares and an improved outcome [44].”
BackgroundSvärd, A. A., Maziarz, M., Ramelius, A., Lundgren, M., Lernmark, Å., Larsson, H. E., Andersson, C. K., Bennet, R., Jönsson, I., Ask, M., et al. (2020) · Journal of Translational Autoimmunity · doi:10.1016/j.jtauto.2020.100052 · Cited by 7
Ricciuto, A., Rauter, I., McGovern, D. P. B., Mader, R. M., & Reinisch, W. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.02.049 · Cited by 8
Li, H., Wei, D., Cao, H., Han, Y., Li, L., Liu, Y., Qi, J., Wu, X., & Zhang, Z. (2025) · Journal of Inflammation Research · doi:10.2147/jir.s491535 · Cited by 6
“Programmed cell death protein 1 (PD1), a co-inhibitory receptor found on the surface of T cells, is predominantly expressed in nonfunctional and exhausted T cells, 47 making targeting PD1 a popular cancer treatment strategy.”
Liu, C., Li, J., Mou, S., Pang, Y., Chan, L., He, Q., Liu, W., Zhao, Z., Zhang, B., Zheng, Z., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03479-3 · Cited by 7
“Significance: ns, p ≥ 0.05; * p < 0.05; ** p < 0.01; *** p < 0.001 often characterized by the upregulation of immune checkpoint molecules [53, 54].”
InfluentialCD8+T cell exhaustion: the potential for treating autoimmune diseases
Xu, Y., Yi, X., Li, C., & Chen, J. (2025) · Current Opinion in Immunology · doi:10.1016/j.coi.2025.102600 · Cited by 6
Park, H.-S., Sung, W. J., Park, Y.-Y., Hong, J., Oh, H. K., & Lee, H. (2025) · International Journal of Biological Sciences · doi:10.7150/ijbs.116753 · Cited by 9
“When AICD is impaired, activated T cells persist in inflamed tissues and contribute to sustained cytokine production, aberrant tissue remodeling, and disease progression [4,5].”
Alberici, F., Floßmann, O., Lamprecht, P., Loudon, K. W., Padoan, R., Popov, T., Salvarani, C., & Mohammad, A. J. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1655326 · Cited by 6
Chapelle, N., Fantou, A., Marron, T., Kenigsberg, E., Mérad, M., & Martin, J. C. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1006944 · Cited by 6
Prognostic effect of TCF1 + CD8 + T cell and TOX + CD8 + T cell infiltration in lung adenocarcinoma
Wang, Y., Ma, L., Chen, Y., Yun, W., Yu, J., & Meng, X. (2024) · Cancer Science · doi:10.1111/cas.16177 · Cited by 6
“10,11 The key role of TOX was also confirmed in mouse models.”
BackgroundShumnalieva, R., Velikova, T. V., & Monov, S. V. (2024) · International Journal of Rheumatic Diseases · doi:10.1111/1756-185x.15182 · Cited by 6
“22 However, in the case of immunotherapy, antigens excess and tumor microenvironment (TME) can deplete the infiltrating T cells, leading to a loss of efficacy, as we explored in detail in the next section.”
BackgroundWitkop, E. M., Diggins, K. E., WIEDEMAN, A. E., Serti, E., Nepom, G. T., Gersuk, V. H., Fuchs, B., Long, S. A., & Linsley, P. S. (2024) · Communications Biology · doi:10.1038/s42003-024-06456-3 · Cited by 5
“Differential gene expression was compared between PD-1 + cluster 7 and all CD57 + clusters 5, 6, and 8 using linear regression analysis in Monocle (v3) (~exhausted-like population) 66 .”
BackgroundMethodZhao, R., Su, Z., Gu, J., Zhao, H., Bian, L., Yin, J., Cai, Y., Yang, T., Gu, Y., & Xu, X. (2025) · BMC Medicine · doi:10.1186/s12916-025-04001-5 · Cited by 6
“In patients with autoimmune disorders, transcriptomic profiling has discovered a hallmark of CD8 + T-cell exhaustion that correlates with a less severe disease phenotype [28].”
Checkpoint Molecules in Rheumatology—or the Benefits of Being Exhausted
Greisen, S. R., & Deleuran, B. W. (2021) · Current Rheumatology Reports · doi:10.1007/s11926-021-00991-2 · Cited by 6
Schardey, J., Lü, C., Neumann, J. H. L., Wirth, U., Li, Q., Jiang, T., Zimmermann, P., Andrassy, J., Bazhin, A. V., Werner, J., et al. (2023) · Cancers · doi:10.3390/cancers15194743 · Cited by 6
“More-over, there has been increasing evidence that T-cell exhaustion in the mucosa of IBD patients is related to inflammatory disease progression [9–11].”
Jansen, M. A. E., van den Heuvel, D., Jaddoe, V. W. V., van Zelm, M. C., & Moll, H. A. (2017) · Clinical Immunology · doi:10.1016/j.clim.2017.04.008 · Cited by 6
Co-inhibitory receptors, transcription factors and tolerance
Mohammadzadeh, A. (2020) · International Immunopharmacology · doi:10.1016/j.intimp.2020.106572 · Cited by 6
Táborská, P., Stakheev, D., Svobodová, H., Strizova, Z. O., Bartůňková, J., & Smrž, D. (2020) · Cancers · doi:10.3390/cancers12123766 · Cited by 6
The Role of Exhaustion in Tumor-Induced T-Cell Dysfunction in Cancer
Prado-Garcı́a, H., & Romero‐Garcia, S. (2020) · Springer eBooks · doi:10.1007/978-3-030-30845-2_8 · Cited by 6
Zheng, Y., Li, H., Wang, Y., Huang, L., Chen, L., Lin, S., & Lin, S. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1476575 · Cited by 5
Yu, D. C. W., Zhou, L., & Zhang, Q. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.107473 · Cited by 5
Zhao, W., Shen, Y., Cai, G.-X., Li, Y., Liu, W., Wu, J., Xu, Y., Chen, S.-Q., & Zhou, Z. M. (2023) · Molecular Therapy · doi:10.1016/j.ymthe.2023.12.011 · Cited by 5
Soluble Immune Checkpoints Associated With Disease Activity and Treatment Response in GD and TED
Yin, Q., Zhu, T., Song, D., Fang, S., Zhou, H., & Guan, H. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae763 · Cited by 4
Immune checkpoint molecule expression is altered in the skin and peripheral blood in vasculitis
Miyabe, C., Dong, Y., Ikeda, T., Takahashi, K., Miyabe, Y., & Kawakami, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-99558-5 · Cited by 5
Blood Transcriptome Profiling Links Immunity to Disease Severity in Myotonic Dystrophy Type 1 (DM1)
Nieuwenhuis, S., Widomska, J., Blom, P., Hoen, P. T., van Engelen, B. V., & Glennon, J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063081 · Cited by 6
Computation of Transcriptional Networks of Circulating Immune Cells in Type 1 Diabetes
Ochsner, S. A., Pillich, R., Rawool, D., Grethe, J. S., & McKenna, N. J. (2022) · iScience · doi:10.1016/j.isci.2022.104581 · Cited by 5
“CD56 cells have been shown to promote CD8 T cell exhaustion, and this phenomenon has been linked to improved prognosis in autoimmune diseases (McKinney et al., 2015).”
BackgroundBayesian clustering with uncertain data
Nicholls, K., Kirk, P., & Wallace, C. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012301 · Cited by 6
Little, C. J., Kim, S. C., Fechner, J. H., Post, J., Coonen, J., Chlebeck, P. J., Winslow, M., Kobuzi, D., Strober, S., & Kaufman, D. B. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1343616 · Cited by 5
Mead, M. N., Seneff, S., Rose, J., Wolfinger, R. D., Hulscher, N., & McCullough, P. A. (2024) · International Journal of Vaccine Theory Practice and Research · doi:10.56098/w66wjg87 · Cited by 13
Chhabra, S., Joshi, N., Narang, T. K., & Dogra, S. (2019) · Indian Journal of Dermatology Venereology and Leprology · doi:10.4103/ijdvl.ijdvl_392_18 · Cited by 5
Sahu, R., Mishra, R., & Majee, C. (2020) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2020.1797485 · Cited by 5
“cence may also be important; T-cell exhaustion has a central role in determining outcome in autoimmune disease [66].”
BackgroundBystander Memory T Cells and IMiD/Checkpoint Therapy in Multiple Myeloma: A Dangerous Tango?
Sponaas, A., Waage, A., Vandsemb, E. N., Misund, K., Børset, M., Sundan, A., Slørdahl, T. S., & Standal, T. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.636375 · Cited by 5
“IKZF1 binds the IL-2 gene promoter and represses IL-2 production and proliferation in T cells (70, 71) thus controlling important steps in induction of effective immune responses, regulation of inflammation as well as prevention of autoimmunity.”
ResultInfluentialOgawa, K., Kozuka, Y., Uno, H., Utsumi, K., Noyori, O., & Hosoki, R. (2021) · Clinical Drug Investigation · doi:10.1007/s40261-021-01042-5 · Cited by 6
Ghosh, A., Marques-Piubelli, M. L., Wang, X., Sheu, T. G., Cheng, J., Khan, K. B., Lü, W., Manning, J., Tang, G., Solis, L. M., et al. (2022) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-022-03348-x · Cited by 5
“In situations of chronic T-cell activation, this interaction prevents the development of an exhausted T-cell phenotype [4, 6].”
BackgroundCzaja, A. J. (2023) · Digestive Diseases and Sciences · doi:10.1007/s10620-023-08118-6 · Cited by 6
“T cell exhaustion could improve the outcomes of autoimmune disease by limiting T cell activity [221–223].”
BackgroundInfluentialZhang, Y., Yi, H., Su, S., Ma, Z., & Wu, H. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.113277 · Cited by 4
Xu, Z., Huo, S., Zhang, Y., Lin, W., Liu, J., Wen, X., Liu, Y., Shi, C., & Xu, G. (2025) · Materials & Design · doi:10.1016/j.matdes.2025.114508 · Cited by 4
Mukherjee, A. M. (2025) · Clinical Immunology Communications · doi:10.1016/j.clicom.2025.09.003 · Cited by 4
CD2 costimulation bridges potent CAR-induced cytolysis and durable persistence
Liu, F., Keane, J. T., Lewis, H.-G. S., King-Peoples, T. R., June, C. H., & Posey, A. D. (2026) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2025-013208 · Cited by 4
Miltefosine reinvigorates exhausted T cells by targeting their bioenergetic state
Zhang, X., Zhang, C., Lu, S., Dong, J., Tang, N., Wang, Y., Han, W., Pan, X., Zhang, X., Liu, D., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101869 · Cited by 4
Jin, Y., Xing, J., Dai, C., Jin, L., Zhang, W., Tao, Q., Hou, M., Li, Z., Yang, W., Feng, Q., et al. (2024) · eLife · doi:10.7554/elife.98867.3 · Cited by 12
Lee, J. C. (2017) · HLA · doi:10.1111/tan.13170 · Cited by 4
“Early evidence suggests that these pathways may be shared between different diseases and thus have effects on prognosis that are independent of a specific diagnosis.(40,44) Further elucidation of the extent of this sharing, and the biology of disease prognosis in general, would therefore appear to be an important step…”
BackgroundSelf-citationNijjar, J. S., & Smith, K. G. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812102-3.00030-0 · Cited by 4
Self-citationZhang, Y., Lu, Y., Gao, Y., Liang, X., Zhang, R., Wang, X., Zou, X., & Yang, W. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.109890 · Cited by 3
T Cell Exhaustion in Allergic Diseases and Allergen Immunotherapy: A Novel Biomarker?
Xu, Q., Li, L., & Zhu, R. (2025) · Current Allergy and Asthma Reports · doi:10.1007/s11882-025-01199-5 · Cited by 7
“Conversely, T cell exhaustion may serve as a therapeutic approach in autoimmunity and organ transplantation, correlating with enhanced therapeutic outcomes and improved prognosis [7, 8].”
Alterations in CD8+CD45RA+CCR7− T cells as a potential biomarker for primary Sjögren's syndrome
Pan, J., Wu, R., He, L., Bai, Y., Ding, J., Wang, Y., Shu, F., Zhang, Z., Zhang, P., & Qi, C. (2025) · Immunobiology · doi:10.1016/j.imbio.2025.152914 · Cited by 4
Alsoud, D., Noor, N. M., Chen, L. A., Abadom, V., Anderson, S. H. C., Ardolli, L., Axelrad, J. E., Bossuyt, P. J., Croitoru, K., Damas, O. M., et al. (2025) · United European Gastroenterology Journal · doi:10.1002/ueg2.70050 · Cited by 4
“Following prior discovery in other immune‐mediated diseases [13], a CD8 þ T‐ cell gene expression signature was identified that was associated with subsequent disease course in IBD patients [14], with later mechanistic work revealing a likely role for T‐cell exhaustion [15].”
InfluentialSelf-citationAriza, M. E., & Williams, M. V. (2016) · Current Research on HIV/AIDS · doi:10.29011/2575-7105.100001 · Cited by 4
Grywalska, E., Mielnik, M., Podgajna, M., Hymos, A., Ludian, J., Rolińska, A., Gosik, K., Kwaśniewski, W. M., Sosnowska‐Pasiarska, B., Smok-Kalwat, J., et al. (2022) · Cancers · doi:10.3390/cancers14030672 · Cited by 4
“It is very likely that EBV infection may have similar effects [13].”
BackgroundAge-related immunosenescence in Behçet’s disease
Cansu, D. Ü., & Korkmaz, C. (2022) · Rheumatology International · doi:10.1007/s00296-022-05144-x · Cited by 4
“As a result, T-cell exhaustion may be beneficial in autoimmune diseases [53].”
BackgroundXu, L., Su, X., Liu, Z., & Zhou, A. (2022) · Disease Markers · doi:10.1155/2022/8911321 · Cited by 4
SARS-CoV-2-Vaccine-Related Endocrine Disorders: An Updated Narrative Review
Ishay, A., Oleinikov, K., & Shacham, E. C. (2024) · Vaccines · doi:10.3390/vaccines12070750 · Cited by 3
Metadata
- Authors
- McKinney, E. F., Lee, J. C., Jayne, D. R. W., Lyons, P. A., & Smith, K. G. C.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- McKinney, Eoin F.
- Smith, Kenneth G. C.
- Venue
- Nature
- Published
- 2015-06-29
- Volume
- 523
- Issue
- 7562
- Pages
- 612-616
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4623162
- OpenAlex
- W2103056503
- Cited by
- 685
- References
- 56
- Citations by year
- 2026: 45 · 2025: 54 · 2024: 82 · 2023: 45 · 2022: 81 · 2021: 65 · 2020: 73 · 2019: 74 · 2018: 65 · 2017: 48 · 2016: 40 · 2015: 10
- FWCI
- 26.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Wellcome Trust (083650/Z/07/Z, 104064, 104064/Z/14/Z, 100140, 079895/Z/06/Z, 083650, 079895, 100140/Z/12/Z, 094227, 094227/Z/10/Z, 079895/Z/06/B)
- Medical Research Council (MR/L019027/1)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- T cell exhaustion, CD8+ T cells, PD-1, chronic viral infection, autoimmune disease, inflammatory diseases, prognosis, hepatitis C virus, vaccine response, type 1 diabetes, systemic lupus erythematosus, antineutrophil cytoplasmic antibody-associated vasculitis, idiopathic pulmonary fibrosis, dengue hemorrhagic fever, gene expression signatures, autoreactivity
- MeSH terms
- Animals, Autoimmune Diseases, Humans, Infections, Inflammation, Lupus Erythematosus, Systemic, Phenotype, Receptors, Antigen, T-Cell, Inflammatory Bowel Diseases, CD4-Positive T-Lymphocytes, Autoimmunity, CD8-Positive T-Lymphocytes, CD2 Antigens, Receptors, Interleukin-7, Mice, Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis, Transcriptome, Programmed Cell Death 1 Receptor
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review