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The role of infiltrating immune cells in dysfunctional adipose tissue
Open accessAbstract
Adipose tissue (AT) dysfunction, characterized by loss of its homeostatic functions, is a hallmark of non-communicable diseases. It is characterized by chronic low-grade inflammation and is observed in obesity, metabolic disorders such as insulin resistance and diabetes. While classically it has been identified by increased cytokine or chemokine expression, such as increased MCP-1, RANTES, IL-6, interferon (IFN) gamma or TNFα, mechanistically, immune cell infiltration is a prominent feature of the dysfunctional AT. These immune cells include M1 and M2 macrophages, effector and memory T cells, IL-10 producing FoxP3+ T regulatory cells, natural killer and NKT cells and granulocytes. Immune composition varies, depending on the stage and the type of pathology. Infiltrating immune cells not only produce cytokines but also metalloproteinases, reactive oxygen species, and chemokines that participate in tissue remodelling, cell signalling, and regulation of immunity. The presence of inflammatory cells in AT affects adjacent tissues and organs. In blood vessels, perivascular AT inflammation leads to vascular remodelling, superoxide production, endothelial dysfunction with loss of nitric oxide (NO) bioavailability, contributing to vascular disease, atherosclerosis, and plaque instability. Dysfunctional AT also releases adipokines such as leptin, resistin, and visfatin that promote metabolic dysfunction, alter systemic homeostasis, sympathetic outflow, glucose handling, and insulin sensitivity. Anti-inflammatory and protective adiponectin is reduced. AT may also serve as an important reservoir and possible site of activation in autoimmune-mediated and inflammatory diseases. Thus, reciprocal regulation between immune cell infiltration and AT dysfunction is a promising future therapeutic target.
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Citations
Cites
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Bettelli, E., Carrier, Y., Gao, W., Korn, T., Strom, T. B., Oukka, M., Weiner, H. L., & Kuchroo, V. K. (2006) · Nature · doi:10.1038/nature04753 · Cited by 6,992
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
Obesity induces a phenotypic switch in adipose tissue macrophage polarization
Lumeng, C. N., Bodzin, J. L., & Saltiel, A. R. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29881 · Cited by 4,664
Adipokines in inflammation and metabolic disease
Ouchi, N., Parker, J. L., Lugus, J. J., & Walsh, K. (2011) · Nature Reviews Immunology · doi:10.1038/nri2921 · Cited by 4,625
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
Functional Brown Adipose Tissue in Healthy Adults
Virtanen, K. A., Lidell, M. E., Orava, J., Heglind, M., Westergren, R., Niemi, T., Taittonen, M., Laine, J., Savisto, N.-J., Enerbäck, S., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808949 · Cited by 3,058
Feuerer, M., Herrero, L., Cipolletta, D., Naaz, A., Wong, J., Nayer, A., Lee, J., Goldfine, A. B., Benoist, C., Shoelson, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.2002 · Cited by 2,145
Macrophage-specific PPARγ controls alternative activation and improves insulin resistance
Odegaard, J. I., Ricardo-Gonzalez, R. R., Goforth, M. H., Morel, C. R., Subramanian, V., Mukundan, L., Eagle, A. R., Vats, D., Brombacher, F., Ferrante, A. W., et al. (2007) · Nature · doi:10.1038/nature05894 · Cited by 2,107 · cited 1×
“type by regulating fatty acid storage and, in doing so, reduces obesity and improves insulin resistance (Figure 2).(119) While the metabolic state plays a role in macrophage recruitment and polarization, ATMs in turn have important effects on AT metabolism (Figure 2).”
BackgroundHuman epicardial adipose tissue is a source of inflammatory mediators
Mazurek, T., Zhang, L., Zalewski, A., Mannion, J. D., Diehl, J. T., Arafat, H., Sarov-Blat, L., O’Brien, S., Keiper, E. A., Johnson, A. G., et al. (2003) · Circulation · doi:10.1161/01.cir.0000099542.57313.c5 · Cited by 1,966
Role of the T cell in the genesis of angiotensin II–induced hypertension and vascular dysfunction
Guzik, T. J., Hoch, N. E., Brown, K. A., McCann, L. A., Rahman, A., Dikalov, S., Goronzy, J., Weyand, C., & Harrison, D. G. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20070657 · Cited by 1,736
Self-citationCCR2 modulates inflammatory and metabolic effects of high-fat feeding
Weisberg, S. P., Hunter, D., Huber, R., Lemieux, J., Slaymaker, S., Vaddi, K., Charo, I., Leibel, R. L., & Jr., A. W. F. (2006) · Journal of Clinical Investigation · doi:10.1172/jci24335 · Cited by 1,497
Cancello, R., Henegar, C., Viguerie, N., Taleb, S., Poitou, C., Rouault, C., Coupaye, M., Pelloux, V., Hugol, D., Bouillot, J.-L., et al. (2005) · Diabetes · doi:10.2337/diabetes.54.8.2277 · Cited by 1,164
Local proliferation dominates lesional macrophage accumulation in atherosclerosis
Robbins, C. S., Hilgendorf, I., Weber, G. F., Theurl, I., Iwamoto, Y., Figueiredo, J.-L., Gorbatov, R., Sukhova, G. K., Gerhardt, L. M. S., Smyth, D., et al. (2013) · Nature Medicine · doi:10.1038/nm.3258 · Cited by 1,041
Alternatively activated macrophages produce catecholamines to sustain adaptive thermogenesis
Nguyen, K. D., Qiu, Y., Cui, X., Goh, Y. P. S., Mwangi, J., David, T., Mukundan, L., Brombacher, F., Locksley, R. M., & Chawla, A. (2011) · Nature · doi:10.1038/nature10653 · Cited by 1,038
Nguyen, M. T. A., Favelyukis, S., Nguyen, A.-K., Reichart, D., Scott, P. A., Jenn, A., Liu-Bryan, R., Glass, C. K., Neels, J. G., & Olefsky, J. M. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m706762200 · Cited by 1,035
The weight of leptin in immunity
Cava, A. L., & Matarese, G. (2004) · Nature Reviews Immunology · doi:10.1038/nri1350 · Cited by 927 · cited 1×
“proliferation, and expression of adhesion molecules on endothelial and vascular smooth muscle cells.(173) IL-17A and TNF increase leptin and”
BackgroundYe, J., Gao, Z., Yin, J., & He, Q. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00435.2007 · Cited by 840
Ablation of CD11c-Positive Cells Normalizes Insulin Sensitivity in Obese Insulin Resistant Animals
Patsouris, D., Li, P.-P., Thapar, D., Chapman, J., Olefsky, J. M., & Neels, J. G. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.08.015 · Cited by 804 · cited 1×
“reduction in crown-like structures in obese AT, and consequently improves insulin sensitivity.(121) Weight loss decreases macrophage content leading to improved insulin sensitivity.”
BackgroundWeight loss and lipolysis promote a dynamic immune response in murine adipose tissue
Kosteli, A., Sugaru, E., Haemmerle, G., Martin, J. F., Lei, J., Zechner, R., & Ferrante, A. W. (2010) · Journal of Clinical Investigation · doi:10.1172/jci42845 · Cited by 726 · cited 2×
“Local lipid fluxes are also regulators of ATM recruitment.(111) High levels”
BackgroundKintscher, U., Hartge, M., Hess, K., Foryst-Ludwig, A., Clemenz, M., Wabitsch, M., Fischer-Posovszky, P., Barth, T. F. E., Dragun, D., Skurk, T., et al. (2008) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.108.165100 · Cited by 692
Wolf, M. J., Adili, A., Piotrowitz, K., Abdullah, Z., Boege, Y., Stemmer, K., Ringelhan, M., Simonavicius, N., Egger, M., Wohlleber, D., et al. (2014) · Cancer Cell · doi:10.1016/j.ccell.2014.09.003 · Cited by 678
Rausch, M. E., Weisberg, S., Vardhana, P., & Tortoriello, D. V. (2008) · International Journal of Obesity · doi:10.1038/sj.ijo.0803744 · Cited by 585
DeFuria, J., Belkina, A. C., Jagannathan-Bogdan, M., Snyder-Cappione, J., Carr, J. D., Nersesova, Y. R., Markham, D., Strissel, K. J., Watkins, A. A., Zhu, M., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215840110 · Cited by 521
Sustained effects of interleukin-1 receptor antagonist treatment in type 2 diabetes
Larsen, C. M., Faulenbach, M., Vaag, A., Ehses, J. A., Donath, M. Y., & Mandrup-Poulsen, T. (2009) · Diabetes Care · doi:10.2337/dc09-0533 · Cited by 401
IL-17 regulates adipogenesis, glucose homeostasis, and obesity
Zúñiga, L. A., Shen, W.-J., Joyce-Shaikh, B., Pyatnova, E. A., Richards, A. G., Thom, C., Andrade, S. M., Cua, D. J., Kraemer, F. B., & Butcher, E. C. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.1001269 · Cited by 394
Jourdan, T., Godlewski, G., Cinar, R., Bertola, A., Szanda, G., Liu, J., Tam, J., Han, T., Mukhopadhyay, B., Skarulis, M. C., et al. (2013) · Nature Medicine · doi:10.1038/nm.3265 · Cited by 388
Ensan, S., Li, A., Besla, R., Degousee, N., Cosme, J., Roufaiel, M., Shikatani, E. A., El-Maklizi, M., Williams, J. W., Robins, L., et al. (2016) · Nature Immunology · doi:10.1038/ni.3343 · Cited by 372
Lumeng, C. N., Deyoung, S. M., & Saltiel, A. R. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00284.2006 · Cited by 359
Obesity accelerates T cell senescence in murine visceral adipose tissue
Shirakawa, K., Yan, X., Shinmura, K., Endo, J., Kataoka, M., Katsumata, Y., Yamamoto, T., Anzai, A., Isobe, S., Yoshida, N., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci88606 · Cited by 271 · cited 1×
“These osteopontin-producing CD4þT cells show functional and genetic features of senescent T cells.(128,129) T cells in obese AT are regu-”
BackgroundSalicylate (Salsalate) in Patients With Type 2 Diabetes: A Randomized Trial
Goldfine, A. B., Fonseca, V., Jablonski, K. A., Chen, Y.-D. I., Tipton, L., Staten, M. A., & Shoelson, S. E. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-1-201307020-00003 · Cited by 251
Interplay between the immune system and adipose tissue in obesity
Exley, M. A., Hand, L., O'Shea, D., & Lynch, L. (2014) · Journal of Endocrinology · doi:10.1530/joe-13-0516 · Cited by 242 · cited 1×
“Finally, there is a small number of B cells in the VAT of lean animals, where they provide immunity against infections, including bacteria from peritoneal space.(108) B-cell content increases in dysfunc-”
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Petrie, J. R., Guzik, T. J., & Touyz, R. M. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2017.12.005 · Cited by 1,787
Self-citationThe compelling link between physical activity and the body's defense system
Nieman, D. C., & Wentz, L. M. (2019) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2018.09.009 · Cited by 1,340
Periodontitis is associated with hypertension: a systematic review and meta-analysis
Muñoz Aguilera, E., Suvan, J., Buti, J., Czesnikiewicz-Guzik, M., Barbosa Ribeiro, A., Orlandi, M., Guzik, T. J., Hingorani, A. D., Nart, J., & D’Aiuto, F. (2020) · Cardiovascular Research · doi:10.1093/cvr/cvz201 · Cited by 394
Self-citationEndotoxin-initiated inflammation reduces testosterone production in men of reproductive age
Tremellen, K., McPhee, N., Pearce, K., Benson, S., Schedlowski, M., & Engler, H. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00279.2017 · Cited by 98
Kahn, D., Macias, E., Zarini, S., Garfield, A., Zemski Berry, K., MacLean, P., Gerszten, R. E., Libby, A., Solt, C., Schoen, J., et al. (2022) · Endocrinology · doi:10.1210/endocr/bqac140 · Cited by 97
Metadata
- Authors
- Guzik, T. J., Skiba, D. S., Touyz, R. M., & Harrison, D. G.
- Venue
- Cardiovascular Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-07-01
- Volume
- 113
- Issue
- 9
- Pages
- 1009-1023
- ISSN
- 0008-6363 (ISSN-L)
- 1755-3245
- OpenAlex
- W2735267600
- Cited by
- 445
- References
- 32
- FWCI
- 28.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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