In vitro morphological profiling of T cells predicts clinical response to natalizumab therapy in patients with multiple sclerosis (2025)
- Authors:
- Autor USP: NAKAYA, HELDER TAKASHI IMOTO - FCF
- Unidade: FCF
- DOI: 10.1038/s41467-025-60224-3
- Subjects: ANÁLISE MORFOLÓGICA; CÉLULAS; ESCLEROSE MÚLTIPLA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Nature Communications
- ISSN: 2041-1723
- Volume/Número/Paginação/Ano: v. 16, p. 1-15 art. 5533, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CHAVES, Beatriz et al. In vitro morphological profiling of T cells predicts clinical response to natalizumab therapy in patients with multiple sclerosis. Nature Communications, v. 16, p. 1-15 art. 5533, 2025Tradução . . Disponível em: https://dx.doi.org/10.1038/s41467-025-60224-3. Acesso em: 26 jan. 2026. -
APA
Chaves, B., Silva, J. C. S. e, Nakaya, H. T. I., Juglard, N. S., Bucciarelli, F., Prunier, G., et al. (2025). In vitro morphological profiling of T cells predicts clinical response to natalizumab therapy in patients with multiple sclerosis. Nature Communications, 16, 1-15 art. 5533. doi:10.1038/s41467-025-60224-3 -
NLM
Chaves B, Silva JCS e, Nakaya HTI, Juglard NS, Bucciarelli F, Prunier G, Almeida MV, Lacouture C, Kari S, Astier AL, Medeiros MA, Silva JHM, Liblau R, Almeida VC de, Dupré L. In vitro morphological profiling of T cells predicts clinical response to natalizumab therapy in patients with multiple sclerosis [Internet]. Nature Communications. 2025 ; 16 1-15 art. 5533.[citado 2026 jan. 26 ] Available from: https://dx.doi.org/10.1038/s41467-025-60224-3 -
Vancouver
Chaves B, Silva JCS e, Nakaya HTI, Juglard NS, Bucciarelli F, Prunier G, Almeida MV, Lacouture C, Kari S, Astier AL, Medeiros MA, Silva JHM, Liblau R, Almeida VC de, Dupré L. In vitro morphological profiling of T cells predicts clinical response to natalizumab therapy in patients with multiple sclerosis [Internet]. Nature Communications. 2025 ; 16 1-15 art. 5533.[citado 2026 jan. 26 ] Available from: https://dx.doi.org/10.1038/s41467-025-60224-3 - Avaliação da geolocalização de pacientes com malária e formulação de estimativas de locais endêmicos no estado do Amazonas
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Informações sobre o DOI: 10.1038/s41467-025-60224-3 (Fonte: oaDOI API)
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