The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Differential regulation of macrophage inflammatory activation by fibrin and fibrinogen
Open accessAbstract
Fibrin is a major component of the provisional extracellular matrix formed during tissue repair following injury, and enables cell infiltration and anchoring at the wound site. Macrophages are dynamic regulators of this process, advancing and resolving inflammation in response to cues in their microenvironment. Although much is known about how soluble factors such as cytokines and chemokines regulate macrophage polarization, less is understood about how insoluble and adhesive cues, specifically the blood coagulation matrix fibrin, influence macrophage behavior. In this study, we observed that fibrin and its precursor fibrinogen elicit distinct macrophage functions. Culturing macrophages on fibrin gels fabricated by combining fibrinogen with thrombin stimulated secretion of the anti-inflammatory cytokine, interleukin-10 (IL-10). In contrast, exposure of macrophages to soluble fibrinogen stimulated high levels of inflammatory cytokine tumor necrosis factor alpha (TNF-α). Macrophages maintained their anti-inflammatory behavior when cultured on fibrin gels in the presence of soluble fibrinogen. In addition, adhesion to fibrin matrices inhibited TNF-α production in response to stimulation with LPS and IFN-γ, cytokines known to promote inflammatory macrophage polarization. Our data demonstrate that fibrin exerts a protective effect on macrophages, preventing inflammatory activation by stimuli including fibrinogen, LPS, and IFN-γ. Together, our study suggests that the presentation of fibrin(ogen) may be a key switch in regulating macrophage phenotype behavior, and this feature may provide a valuable immunomodulatory strategy for tissue healing and regeneration.
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Cites
The chemokine system in diverse forms of macrophage activation and polarization
MANTOVANI, A., SICA, A., SOZZANI, S., ALLAVENA, P., VECCHI, A., & LOCATI, M. (2004) · Trends in Immunology · doi:10.1016/j.it.2004.09.015 · Cited by 6,534
Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
Xue, J., Schmidt, S. V., Sander, J., Draffehn, A., Krebs, W., Quester, I., De Nardo, D., Gohel, T. D., Emde, M., Schmidleithner, L., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.01.006 · Cited by 2,210
Inflammation and wound healing: the role of the macrophage
Koh, T. J., & DiPietro, L. A. (2011) · Expert Reviews in Molecular Medicine · doi:10.1017/s1462399411001943 · Cited by 1,667
Differential Roles of Macrophages in Diverse Phases of Skin Repair
Lucas, T., Waisman, A., Ranjan, R., Roes, J., Krieg, T., Müller, W., Roers, A., & Eming, S. A. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.0903356 · Cited by 1,205 · cited 1×
“Animals that are depleted of monocytes and/or macrophages exhibit reduced wound healing, suggesting that these cells are essential to the repair process after injury [18,19].”
Zwitterionic hydrogels implanted in mice resist the foreign-body reaction
Zhang, L., Cao, Z., Bai, T., Carr, L., Ella-Menye, J.-R., Irvin, C., Ratner, B. D., & Jiang, S. (2013) · Nature Biotechnology · doi:10.1038/nbt.2580 · Cited by 1,035
Fibrin: A versatile scaffold for tissue engineering applications
Ahmed, T. A. E., Dare, E. V., & Hincke, M. (2008) · Tissue Engineering Part B: Reviews · doi:10.1089/ten.teb.2007.0435 · Cited by 994
Developing a pro-regenerative biomaterial scaffold microenvironment requires T helper 2 cells
Sadtler, K., Estrellas, K., Allen, B. W., Wolf, M. T., Fan, H., Tam, A. J., Patel, C. H., Luber, B. S., Wang, H., Wagner, K. R., et al. (2016) · Science · doi:10.1126/science.aad9272 · Cited by 605
Vegas, A. J., Veiseh, O., Doloff, J. C., Ma, M., Tam, H. H., Bratlie, K., Li, J., Bader, A. R., Langan, E., Olejnik, K., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3462 · Cited by 551
Physical and mechanical regulation of macrophage phenotype and function
McWhorter, F. Y., Davis, C. T., & Liu, W. F. (2015) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-014-1796-8 · Cited by 437
Self-citationMolecular basis of biomaterial-mediated foreign body reactions
Hu, W.-J., Eaton, J. W., Ugarova, T. P., & Tang, L. (2001) · Blood · doi:10.1182/blood.v98.4.1231 · Cited by 431 · cited 1×
“In the context of biomaterials, the adsorption of fibrinogen to biomaterial surfaces is thought to be important for recruitment of macrophages [42,43].”
Micro- and Nanopatterned Topographical Cues for Regulating Macrophage Cell Shape and Phenotype
Luu, T. U., Gott, S. C., Woo, B. W. K., Rao, M. P., & Liu, W. F. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b10589 · Cited by 344
Self-citationAdams, R. A., Bauer, J., Flick, M. J., Sikorski, S. L., Nuriel, T., Lassmann, H., Degen, J. L., & Akassoglou, K. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20061931 · Cited by 335
Ryu, J. K., Petersen, M. A., Murray, S. G., Baeten, K. M., Meyer-Franke, A., Chan, J. P., Vagena, E., Bedard, C., Machado, M. R., Coronado, P. E. R., et al. (2015) · Nature Communications · doi:10.1038/ncomms9164 · Cited by 271
The promotion of a constructive macrophage phenotype by solubilized extracellular matrix
Sicari, B. M., Dziki, J. L., Siu, B. F., Medberry, C. J., Dearth, C. L., & Badylak, S. F. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.06.060 · Cited by 255
Vereyken, E. J., Heijnen, P. D., Baron, W., de Vries, E. H., Dijkstra, C. D., & Teunissen, C. E. (2011) · Journal of Neuroinflammation · doi:10.1186/1742-2094-8-58 · Cited by 108
Modification of Biomaterials with a Self‐Protein Inhibits the Macrophage Response
Kim, Y. K., Que, R., Wang, S., & Liu, W. F. (2014) · Advanced Healthcare Materials · doi:10.1002/adhm.201300532 · Cited by 56
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Atcha, H., Jairaman, A., Holt, J. R., Meli, V. S., Nagalla, R. R., Veerasubramanian, P. K., Brumm, K. T., Lim, H. E., Othy, S., Cahalan, M. D., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23482-5 · Cited by 644
Self-citationChouhan, D., Dey, N., Bhardwaj, N., & Mandal, B. B. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119267 · Cited by 522
The interplay of fibroblasts, the extracellular matrix, and inflammation in scar formation
Moretti, L., Stalfort, J., Barker, T. H., & Abebayehu, D. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.101530 · Cited by 393
YAP-mediated mechanotransduction tunes the macrophage inflammatory response
Meli, V. S., Atcha, H., Veerasubramanian, P. K., Nagalla, R. R., Luu, T. U., Chen, E. Y., Guerrero-Juarez, C. F., Yamaga, K., Pandori, W., Hsieh, J. Y., et al. (2020) · Science Advances · doi:10.1126/sciadv.abb8471 · Cited by 329
“S1B), similar to our earlier report (4).”
InfluentialSelf-citation
Metadata
- Authors
- Hsieh, J. Y., Smith, T. D., Meli, V. S., Tran, T. N., Botvinick, E. L., & Liu, W. F.
- Venue
- Acta Biomaterialia
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 47
- Pages
- 14-24
- ISSN
- 1742-7061 (ISSN-L)
- OpenAlex
- W2522575880
- Cited by
- 219
- References
- 16
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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