The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Fas–Fas Ligand: Checkpoint of T Cell Functions in Multiple Sclerosis
Open accessAbstract
Fas and Fas Ligand (FasL) are two molecules involved in the regulation of cell death. Their interaction leads to apoptosis of thymocytes that fail to rearrange correctly their T cell receptor (TCR) genes and of those that recognize self-antigens, a process called negative selection; moreover, Fas-FasL interaction leads to activation-induced cell death, a form of apoptosis induced by repeated TCR stimulation, responsible for the peripheral deletion of activated T cells. Both control mechanisms are particularly relevant in the context of autoimmune diseases, such as multiple sclerosis (MS), where T cells exert an immune response against self-antigens. This concept is well demonstrated by the development of autoimmune diseases in mice and humans with defects in Fas or FasL. In recent years, several new aspects of T cell functions in MS have been elucidated, such as the pathogenic role of T helper (Th) 17 cells and the protective role of T regulatory (Treg) cells. Thus, in this review, we summarize the role of the Fas-FasL pathway, with particular focus on its involvement in MS. We then discuss recent advances concerning the role of Fas-FasL in regulating Th17 and Treg cells' functions, in the context of MS.
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.
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
Death Receptors: Signaling and Modulation
Ashkenazi, A., & Dixit, V. M. (1998) · Science · doi:10.1126/science.281.5381.1305 · Cited by 5,866
Harrington, L. E., Hatton, R. D., Mangan, P. R., Turner, H., Murphy, T. L., Murphy, K. M., & Weaver, C. T. (2005) · Nature Immunology · doi:10.1038/ni1254 · Cited by 4,742
A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17
Park, H., Li, Z., Yang, X. O., Chang, S. H., Nurieva, R., Wang, Y.-H., Wang, Y., Hood, L., Zhu, Z., Tian, Q., et al. (2005) · Nature Immunology · doi:10.1038/ni1261 · Cited by 4,265
IL-23 drives a pathogenic T cell population that induces autoimmune inflammation
Langrish, C. L., Chen, Y., Blumenschein, W. M., Mattson, J., Basham, B., Sedgwick, J. D., McClanahan, T., Kastelein, R. A., & Cua, D. J. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20041257 · Cited by 4,099
Nagata, S., & Golstein, P. (1995) · Science · doi:10.1126/science.7533326 · Cited by 3,979
Immunopathology of multiple sclerosis
Dendrou, C. A., Fugger, L., & Friese, M. A. (2015) · Nature Reviews Immunology · doi:10.1038/nri3871 · Cited by 2,215
Immunology of multiple sclerosis
Sospedra, M., & Martin, R. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.23.021704.115707 · Cited by 2,149
IL-17 plays an important role in the development of experimental autoimmune encephalomyelitis
Komiyama, Y., Nakae, S., Matsuki, T., Nambu, A., Ishigame, H., Kakuta, S., Sudo, K., & Iwakura, Y. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.177.1.566 · Cited by 1,536
Exacerbations of multiple sclerosis in patients treated with gamma interferon
Panitch, H., Haley, A., Hirsch, R., & Johnson, K. (1987) · The Lancet · doi:10.1016/s0140-6736(87)92863-7 · Cited by 1,071
Genome-wide analysis of Foxp3 target genes in developing and mature regulatory T cells
Zheng, Y., Josefowicz, S. Z., Kas, A., Chu, T.-T., Gavin, M. A., & Rudensky, A. Y. (2007) · Nature · doi:10.1038/nature05563 · Cited by 835
Cited by
Sun, L., Su, Y., Jiao, A., Wang, X., & Zhang, B. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01471-y · Cited by 1,014
The TNF Family of Ligands and Receptors: Communication Modules in the Immune System and Beyond
Dostert, C., Grusdat, M., Letellier, E., & Brenner, D. (2019) · Physiological Reviews · doi:10.1152/physrev.00045.2017 · Cited by 498
Th17 cells and inflammation in neurological disorders: Possible mechanisms of action
Shi, Y., Wei, B., Li, L., Wang, B., & Sun, M. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.932152 · Cited by 108
Post‐mortem multiple sclerosis lesion pathology is influenced by single nucleotide polymorphisms
Fransen, N. L., Crusius, J. B. A., Smolders, J., Mizee, M. R., van Eden, C. G., Luchetti, S., Remmerswaal, E. B. M., Hamann, J., Mason, M. R. J., & Huitinga, I. (2020) · Brain Pathology · doi:10.1111/bpa.12760 · Cited by 37
CRISPR-Cas9 genome editing for cancer immunotherapy: opportunities and challenges
Chen, M., Xu, J., Zhou, Y., Zhang, S., & Zhu, D. (2020) · Briefings in Functional Genomics · doi:10.1093/bfgp/elz027 · Cited by 12
Metadata
- Authors
- Volpe, E., Sambucci, M., Battistini, L., & Borsellino, G.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2016-09-27
- Volume
- 7
- Pages
- 382-382
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2527382084
- Cited by
- 185
- References
- 12
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fas–Fas Ligand: Checkpoint of T Cell Functions in Multiple Sclerosis. https://app.cochat.ai/papers/10.3389/fimmu.2016.00382
- The paper
- Volpe, E., Sambucci, M., Battistini, L., & Borsellino, G. (2016). Fas–Fas Ligand: Checkpoint of T Cell Functions in Multiple Sclerosis. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2016.00382
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
