Correlation between interleukin pattern in active and inactive human paracoccidioidomycosis (1994)
- Authors:
- USP affiliated authors: SILVA, CELIO LOPES - FMRP ; FOSS, NORMA TIRABOSCHI - FMRP
- Unidade: FMRP
- Assunto: MICOSES
- Language: Inglês
- Imprenta:
- Source:
- Título: Resumos
- Conference titles: Reuniao Anual da Fesbe
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ABNT
SILVA, C L et al. Correlation between interleukin pattern in active and inactive human paracoccidioidomycosis. 1994, Anais.. Caxambu: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 1994. . Acesso em: 28 dez. 2025. -
APA
Silva, C. L., Silva, M. F., Faccioli, L. H., Cortez, S. A. E., & Foss, N. T. (1994). Correlation between interleukin pattern in active and inactive human paracoccidioidomycosis. In Resumos. Caxambu: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. -
NLM
Silva CL, Silva MF, Faccioli LH, Cortez SAE, Foss NT. Correlation between interleukin pattern in active and inactive human paracoccidioidomycosis. Resumos. 1994 ;[citado 2025 dez. 28 ] -
Vancouver
Silva CL, Silva MF, Faccioli LH, Cortez SAE, Foss NT. Correlation between interleukin pattern in active and inactive human paracoccidioidomycosis. Resumos. 1994 ;[citado 2025 dez. 28 ] - Tumor necrosis factor in leprosy patients
- Suppression of human monocyte cytokine release by phenolic glycolipid i of mycobacterium leprae
- Correlaction between cytokine Th1 and Th2 profile, mycobacterial antigens and immunossupression of lepromatous leprosy
- Fator de necrose tumoral (tnf) em pacientes com lepra
- Inflammation induced by a glycolipid fraction from mycobacterium leprae
- Tumor necrosis factor in leprosy patients
- Suppression of human monocyte cytokine release by phenolic glicolipid-1 of mycobacterium leprae
- Correlacao dos anticorpos anti-pgl-i com indice baciloscopico , reacao de mitsuda, tratamento quimioterapico e interleucinas nas formas clinicas da hanseniase
- Use of glucan as immunostimulant in the treatment of paracoccidioidomicosis
- Tumor necrosis factor (fnt) in leprosy patients
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