The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.
Teriflunomide and Its Mechanism of Action in Multiple Sclerosis
Open accessAbstract
Treatment of multiple sclerosis (MS) is challenging: disease-modifying treatments (DMTs) must both limit unwanted immune responses associated with disease initiation and propagation (as T and B lymphocytes are critical cellular mediators in the pathophysiology of relapsing MS), and also have minimal adverse impact on normal protective immune responses. In this review, we summarize key preclinical and clinical data relating to the proposed mechanism of action of the recently approved DMT teriflunomide in MS. Teriflunomide selectively and reversibly inhibits dihydro-orotate dehydrogenase, a key mitochondrial enzyme in the de novo pyrimidine synthesis pathway, leading to a reduction in proliferation of activated T and B lymphocytes without causing cell death. Results from animal experiments modelling the immune activation implicated in MS demonstrate reductions in disease symptoms with teriflunomide treatment, accompanied by reduced central nervous system lymphocyte infiltration, reduced axonal loss, and preserved neurological functioning. In agreement with the results obtained in these model systems, phase 3 clinical trials of teriflunomide in patients with MS have consistently shown that teriflunomide provides a therapeutic benefit, and importantly, does not cause clinical immune suppression. Taken together, these data demonstrate how teriflunomide acts as a selective immune therapy for patients with 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
Alberts, B., Johnson, A., Lewis, J., Morgan, D., Raff, M., Roberts, K., & Walter, P. (2017) · W.W. Norton eBooks · doi:10.1201/9781315735368 · Cited by 6,365
Lymphocyte egress from thymus and peripheral lymphoid organs is dependent on S1P receptor 1
Matloubian, M., Lo, C. G., Cinamon, G., Lesneski, M. J., Xu, Y., Brinkmann, V., Allende, M. L., Proia, R. L., & Cyster, J. G. (2004) · Nature · doi:10.1038/nature02284 · Cited by 2,581
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
Summary of product characteristics
(2013) · Pharmaceutical Medicine · doi:10.1093/med/9780199609147.003.0027 · Cited by 1,905
Kebir, H., Kreymborg, K., Ifergan, I., Dodelet-Devillers, A., Cayrol, R., Bernard, M., Giuliani, F., Arbour, N., Becher, B., & Prat, A. (2007) · Nature Medicine · doi:10.1038/nm1651 · Cited by 1,759
Multiple Sclerosis: An Immune or Neurodegenerative Disorder?
Trapp, B. D., & Nave, K.-A. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094313 · Cited by 1,724
Alteration of Lymphocyte Trafficking by Sphingosine-1-Phosphate Receptor Agonists
Mandala, S., Hajdu, R., Bergstrom, J., Quackenbush, E., Xie, J., Milligan, J., Thornton, R., Shei, G.-J., Card, D., Keohane, C., et al. (2002) · Science · doi:10.1126/science.1070238 · Cited by 1,690
Positive and negative selection of T cells
Starr, T. K., Jameson, S. C., & Hogquist, K. A. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141107 · Cited by 1,601
von Büdingen, H.-C., Palanichamy, A., Lehmann-Horn, K., Michel, B. A., & Zamvil, S. S. (2015) · European Neurology · doi:10.1159/000377675 · Cited by 1,463
The relation between inflammation and neurodegeneration in multiple sclerosis brains
Frischer, J. M., Bramow, S., Dal-Bianco, A., Lucchinetti, C. F., Rauschka, H., Schmidbauer, M., Laursen, H., Sorensen, P. S., & Lassmann, H. (2009) · Brain · doi:10.1093/brain/awp070 · Cited by 1,450
Cited by
Reassessing B cell contributions in multiple sclerosis
Li, R., Patterson, K. R., & Bar-Or, A. (2018) · Nature Immunology · doi:10.1038/s41590-018-0135-x · Cited by 401
Self-citationMiller, A. E., Wolinsky, J. S., Kappos, L., Comi, G., Freedman, M. S., Olsson, T. P., Bauer, D., Benamor, M., Truffinet, P., & O'Connor, P. W. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70191-7 · Cited by 300
F901318 represents a novel class of antifungal drug that inhibits dihydroorotate dehydrogenase
Oliver, J. D., Sibley, G. E. M., Beckmann, N., Dobb, K. S., Slater, M. J., McEntee, L., du Pré, S., Livermore, J., Bromley, M. J., Wiederhold, N. P., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608304113 · Cited by 289
Lopes Pinheiro, M. A., Kooij, G., Mizee, M. R., Kamermans, A., Enzmann, G., Lyck, R., Schwaninger, M., Engelhardt, B., & de Vries, H. E. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.10.018 · Cited by 247
Starost, L., Lindner, M., Herold, M., Xu, Y. K. T., Drexler, H. C. A., Heß, K., Ehrlich, M., Ottoboni, L., Ruffini, F., Stehling, M., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02217-8 · Cited by 79
Metadata
- Authors
- Bar-Or, A., Pachner, A., Menguy-Vacheron, F., Kaplan, J., & Wiendl, H.
- Venue
- Drugs
- Published
- 2014-04
- Volume
- 74
- Issue
- 6
- Pages
- 659-674
- ISSN
- 0012-6667 (ISSN-L)
- 1179-1950
- OpenAlex
- W1983382084
- Cited by
- 356
- References
- 146
- FWCI
- 17.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Teriflunomide and Its Mechanism of Action in Multiple Sclerosis. https://app.cochat.ai/papers/10.1007/s40265-014-0212-x
- The paper
- Bar-Or, A., Pachner, A., Menguy-Vacheron, F., Kaplan, J., & Wiendl, H. (2014). Teriflunomide and Its Mechanism of Action in Multiple Sclerosis. Drugs. https://doi.org/10.1007/s40265-014-0212-x
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.