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- Title
Jacalin-Activated Macrophages Exhibit an Antitumor Phenotype.
- Authors
Danella Polli, Cláudia; Pereira Ruas, Luciana; Chain Veronez, Luciana; Herrero Geraldino, Thais; Rossetto de Morais, Fabiana; Roque-Barreira, Maria Cristina; Pereira-da-Silva, Gabriela
- Abstract
Tumor-associated macrophages (TAMs) have an ambiguous and complex role in the carcinogenic process, since these cells can be polarized into different phenotypes (proinflammatory, antitumor cells or anti-inflammatory, protumor cells) by the tumor microenvironment. Given that the interactions between tumor cells and TAMs involve several players, a better understanding of the function and regulation of TAMs is crucial to interfere with their differentiation in attempts to skew TAM polarization into cells with a proinflammatory antitumor phenotype. In this study, we investigated the modulation of macrophage tumoricidal activities by the lectin jacalin. Jacalin bound to macrophage surface and induced the expression and/or release of mainly proinflammatory cytokines via NF-κB signaling, as well as increased iNOS mRNA expression, suggesting that the lectin polarizes macrophages toward the antitumor phenotype. Therefore, tumoricidal activities of jacalin-stimulated macrophages were evaluated. High rates of tumor cell (human colon, HT-29, and breast, MCF-7, cells) apoptosis were observed upon incubation with supernatants from jacalin-stimulated macrophages. Taken together, these results indicate that jacalin, by exerting a proinflammatory activity, can direct macrophages to an antitumor phenotype. Deep knowledge of the regulation of TAM functions is essential for the development of innovative anticancer strategies.
- Subjects
APOPTOSIS; BIOLOGICAL assay; CELL culture; CELL differentiation; CELL lines; CELL physiology; CYTOKINES; ENZYME-linked immunosorbent assay; FLOW cytometry; INFLAMMATORY mediators; MACROPHAGES; OXIDOREDUCTASES; PLANT proteins; POLYMERASE chain reaction; PROBABILITY theory; RESEARCH funding; T-test (Statistics); TUMORS; PHENOTYPES; DNA-binding proteins; DATA analysis software; DESCRIPTIVE statistics
- Publication
BioMed Research International, 2016, Vol 2016, p1
- ISSN
2314-6133
- Publication type
Article
- DOI
10.1155/2016/2925657