The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
A Subpopulation of Macrophages Infiltrates Hypertrophic Adipose Tissue and Is Activated by Free Fatty Acids via Toll-like Receptors 2 and 4 and JNK-dependent Pathways
Open accessAbstract
Obesity and type 2 diabetes are characterized by decreased insulin sensitivity, elevated concentrations of free fatty acids (FFAs), and increased macrophage infiltration in adipose tissue (AT). Here, we show that FFAs can cause activation of RAW264.7 cells primarily via the JNK signaling cascade and that TLR2 and TLR4 are upstream of JNK and help transduce FFA proinflammatory signals. We also demonstrate that F4/80(+)CD11b(+)CD11c(+) bone marrow-derived dendritic cells (BMDCs) have heightened proinflammatory activity compared with F4/80(+)CD11b(+)CD11c(-) bone marrow-derived macrophages and that the proinflammatory activity and JNK phosphorylation of BMDCs, but not bone marrow-derived macrophages, was further increased by FFA treatment. F4/80(+)CD11b(+)CD11c(+) cells were found in AT, and the proportion and number of these cells in AT is increased in ob/ob mice and by feeding wild type mice a high fat diet for 1 and 12 weeks. AT F4/80(+)CD11b(+)CD11c(+) cells express increased inflammatory markers compared with F4/80(+)CD11b(+)CD11c(-) cells, and FFA treatment increased inflammatory responses in these cells. In addition, we found that CD11c expression is increased in skeletal muscle of high fat diet-fed mice and that conditioned medium from FFA-treated wild type BMDCs, but not TLR2/4 DKO BMDCs, can induce insulin resistance in L6 myotubes. Together our results show that FFAs can activate CD11c(+) myeloid proinflammatory cells via TLR2/4 and JNK signaling pathways, thereby promoting inflammation and subsequent cellular insulin resistance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A number of free fatty acid products released from necrotic adipocytes have been shown to cause pro-inflammatory activation of macrophages through TLR-2 and TLR-4 signaling pathways, suggesting a potential mechanism by which obesity-induced inflammation may occur [73,74].”
From Macrophage polarization: an opportunity for improved outcomes in biomaterials and regenerative medicine (2012) · cites this paper as [73]
In the citing paper
“Similar to M1 macrophages, they are positive for F4/80 and CD11b, but they are negative for CD11c (105).”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
In the citing paper
“Accordingly, because of their proinflammatory properties, these macrophages are implicated in the pathogenesis of insulin resistance (103, 105, 112, 113).”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
In the citing paper
“In obesity, the major component of the increased ATM content is composed of proinflammatory macrophages that are triply positive for the surface markers F4/80, CD11b, and CD11c (92,105).”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
In the citing paper
“Activation of inflammation is prevented in macrophages and adipocytes that are deficient in Tlr2, Tlr4, or Tlr2/Tlr4 (105, 114-116).”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
In the citing paper
“Clearly, ATMs exist in a lipid-rich environment and fatty acids can broadly activate the macrophage inflammatory program (105, 114-116).”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
In the citing paper
“Interestingly, the expression of Tlr2/Tlr4 is increased in macrophages that are triply positive for F4/80, CD11b, and CD11c (105)”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
In the citing paper
“An important component of these fatty acid-induced activation events are the pattern recognition receptors TLR2 and TLR4 (105, 114-116).”
From Insulin sensitivity: Modulation by nutrients and inflammation (2008) · cites this paper as [105]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Tsukumo, D. M. L., Carvalho-Filho, M. A., Carvalheira, J. B. C., Prada, P. O., Hirabara, S. M., Schenka, A. A., Araújo, E. P., Vassallo, J., Curi, R., Velloso, L. A., et al. (2007) · Diabetes · doi:10.2337/db06-1595 · Cited by 826
RetractedObesity 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
Defective LPS Signaling in C3H/HeJ and C57BL/10ScCr Mice: Mutations in Tlr4 Gene
Poltorak, A., He, X., Smirnova, I., Liu, M.-Y., Huffel, C. V., Du, X., Birdwell, D., Alejos, E., Silva, M., Galanos, C., et al. (1998) · Science · doi:10.1126/science.282.5396.2085 · Cited by 7,631
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
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
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
Blood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties
Geissmann, F., Jung, S., & Littman, D. R. (2003) · Immunity · doi:10.1016/s1074-7613(03)00174-2 · Cited by 3,504
Hoshino, K., Takeuchi, O., Kawai, T., Sanjo, H., Ogawa, T., Takeda, Y., Takeda, K., & Akira, S. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.162.7.3749 · Cited by 3,374
A central role for JNK in obesity and insulin resistance
Hirosumi, J., Tuncman, G., Chang, L., Görgün, C. Z., Uysal, K. T., Maeda, K., Karin, M., & Hotamisligil, G. S. (2002) · Nature · doi:10.1038/nature01137 · Cited by 3,359
Flagged first, then by citations
Research works printed but not linked: 1
- Bruun, 2006, Am. J. Physiol., 290, E961
Cited by
Sorted by citations
Items 701–800 of 995
Friedrichsen, M. H., Ribel‐Madsen, R., Mortensen, B. O. G., HANSEN, C. N., Alibegovic, A. C., Højbjerre, L., Sonne, M. P., Wojtaszewski, J. F. P., Stallknecht, B. M., Dela, F., et al. (2012) · European Journal of Endocrinology · doi:10.1530/eje-12-0498 · Cited by 14
CELL BIOLOGY SYMPOSIUM: Impacts of maternal obesity on placental and gut inflammation and health1,2
Zhu, M., Du, ., & Ford, S. P. (2013) · Journal of Animal Science · doi:10.2527/jas.2013-7106 · Cited by 17
Vileigas, D. F., de Souza, S. L. B., Corrêa, C. R., Silva, C. C. V. D. A., de Campos, D. H. S., Padovani, C. R., & Cicogna, A. C. (2021) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2021.108625 · Cited by 14
What do we know about Toll-Like Receptors Involvement in Gout Arthritis?
Silva, C. R., Saraiva, A. L., Rossato, M. F., Trevisan, G., & Oliveira, S. M. (2022) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/1871530322666220523145728 · Cited by 16
Lei, L., Wang, W., Xia, C., & Liu, F. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1500679 · Cited by 14
Nishiyama, K., Fujimoto, Y., Takeuchi, T., & Azuma, Y. (2017) · Neurochemical Research · doi:10.1007/s11064-017-2269-x · Cited by 14
Cysteine- and glycine-rich protein 3 regulates glucose homeostasis in skeletal muscle
Hernandez, A. M., Weber, N., LaBarge, S. A., Peterka, V., Doan, N. Y. T., Schenk, S., & Osborn, O. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00435.2017 · Cited by 14
Levine, J. A., Sarrafan‐Chaharsoughi, Z., Patel, T. P., Brady, S. M., Chivukula, K. K., Miller, E. K., Han, J. M., Periwal, V., Wolska, A. T., Remaley, A. T., et al. (2022) · Obesity · doi:10.1002/oby.23341 · Cited by 13
Zhang, F., Chen, X., Yang, M., Shen, X., Wang, Y., Zhong, D., Zeng, F., & Jin, R. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300593 · Cited by 13
The Evolving Role of Macrophage Metabolic Reprogramming in Obesity
Makassy, D., Williams, K., & Karwi, Q. G. (2025) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2025.04.017 · Cited by 14
Involvement of Cbl-b-mediated macrophage inactivation in insulin resistance
Abe, T., Hirasaka, K., & Nikawa, T. (2017) · World Journal of Diabetes · doi:10.4239/wjd.v8.i3.97 · Cited by 13
Lee, M., Ryu, H., Van, J. Y., Kim, M., Jeong, H. H., Jung, W., Jun, J. Y., & Lee, B. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241411467 · Cited by 13
Diet and asthma — Can you change what you or your children are by changing what you eat?
de Vries, A., & Howie, S. (2009) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2009.02.001 · Cited by 12
Wang, N., Guo, J., Liu, F., Wang, M., Chun-tao, L., Jia, L., Zhai, L., Wei, W., & Bai, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188007 · Cited by 13
Herrera-Ojeda, J. L., Blanco-Palma, R. S., Chávez-Tapia, N. C., Uribe, M., Montalvo-Jave, E. E., & Nuño‐Lámbarri, N. (2025) · Journal of Endocrinological Investigation · doi:10.1007/s40618-025-02621-5 · Cited by 13
Júnior, A. D. D. C., Carrilho, L. A. O., Filho, P. N., Cantini, L., Vidal, L., Mendes, M. C. S., Carvalheira, J. B. C., & Saini, K. S. (2025) · Onco · doi:10.3390/onco5040047 · Cited by 18
de Barros, N. R., Darabi, M. A., Ma, X., Di̇ltemi̇z, S. E., Ermis, M., Najafabadi, A. H., Nadine, S., Banton, E. A., Mandal, K., Abbasgholizadeh, R., et al. (2023) · Macromolecular Bioscience · doi:10.1002/mabi.202300276 · Cited by 12
Kowalczuk, A. P., Bourebaba, N., Kornicka‐Garbowska, K., Turlej, E., Marycz, K., & Bourebaba, L. (2021) · Cell Communication and Signaling · doi:10.1186/s12964-021-00735-w · Cited by 14
Is the Adipose Tissue the Key Road to Inflammation?
Lucas, S., Verwaerde, C., & Wolowczuk, I. (2009) · Immunology and Immunogenetics Insights · doi:10.4137/iii.s2145 · Cited by 12
Characterization of liver changes in ZSF1 rats, an animal model of metabolic syndrome
Borges‐Canha, M., Portela-Cidade, J. P., Conceição, G., Sousa-Mendes, C., Leite, S., Fontoura, D., Moreira‐Gonçalves, D., Falcão‐Pires, I., Lourenço, A. P., Leite-Moreira, A. F., et al. (2017) · Revista Española de Enfermedades Digestivas · doi:10.17235/reed.2017.4575/2016 · Cited by 12
Metformin—mechanisms of its glycemia-reducing effect
Drewe, J., Foretz, M., & Krähenbühl, S. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100106 · Cited by 18
Luo, J., Ren, H., Chen, M., Zhao, Q. C., Yang, N., Liu, Q., Gao, Y., Zhou, H.-H., Huang, W., & Zhang, W. (2023) · iScience · doi:10.1016/j.isci.2023.107130 · Cited by 12
Otunla, A. A., Shanmugarajah, K., Davies, A. H., & Shalhoub, J. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1355674 · Cited by 15
da Silva, R. D. N. O., Eichler, R. A. D. S., Dias, C. C., Rodrigues, S. F., Skiba, D. S., Landgraf, R. G., de Carvalho, M. H. C., Guzik, T. J., Fock, R. A., & Akamine, E. H. (2021) · Scientific Reports · doi:10.1038/s41598-021-90600-0 · Cited by 12
Schwanstecher, C., & Schwanstecher, M. (2011) · Handbook of experimental pharmacology · doi:10.1007/978-3-642-17214-4_1 · Cited by 11
Regulation of pattern recognition receptor signaling by palmitoylation
Li, X., Hu, X., You, H., Zheng, K., Tang, R., & Kong, F. (2024) · iScience · doi:10.1016/j.isci.2024.111667 · Cited by 10
Lei, T., Yu, L., Qin, L., Xu, B., Zhou, L., Cheng, J., Zhou, H., Pang, X., & Wan, Z. (2016) · Scientific Reports · doi:10.1038/srep30890 · Cited by 10
Laget, J., Djohan, Y. F., Jeanson, L., Muyor, K., Badia, É., Cristol, J., Coudray, C., Feillet‐Coudray, C., Vigor, C., Oger, C., et al. (2021) · Nutrients · doi:10.3390/nu13041134 · Cited by 9
Immunonutrition and SARS-CoV-2 Infection in Children with Obesity
D’Auria, E., Calcaterra, V., Verduci, E., Ghezzi, M., Lamberti, R., Vizzuso, S., Baldassarre, P., Pendezza, E., Perico, V., Bosetti, A., et al. (2022) · Nutrients · doi:10.3390/nu14091701 · Cited by 10
Barranco-Fragoso, B., Pal, S. C., Díaz-Orozco, L. E., Dorantes-Heredia, R., Qi, X., & Méndez‐Sánchez, N. (2022) · Medical Science Monitor · doi:10.12659/msm.937528 · Cited by 10
Nakamoto, A., Ohashi, N., Sugawara, L., Morino, K., Ida, S., Perry, R. J., Sakuma, I., Yanagimachi, T., Fujita, Y., Ugi, S., et al. (2023) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00263.2022 · Cited by 10
Maternal obesity: how big an impact does it have on offspring prenatally and during postnatal life?
Ford, S. P., & Tuersunjiang, N. (2013) · Expert Review of Endocrinology & Metabolism · doi:10.1586/eem.13.14 · Cited by 10
Vascular repair strategies in type 2 diabetes: novel insights.
Kuschnerus, K., Landmesser, U., & Kränkel, N. (2015) · PubMed Central · doi:10.3978/j.issn.2223-3652.2015.05.11 · Cited by 10
Hersrud, S. L., Kovács, A., & Pearce, D. A. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.04.011 · Cited by 9
Kim, J. K., Jeong, H. W., Kim, A. Y., Hong, Y. D., Lee, J. H., Choi, J. K., & Hwang, J. S. (2018) · Food Science and Biotechnology · doi:10.1007/s10068-018-0503-1 · Cited by 10
Plant Oils Were Associated with Low Prevalence of Impaired Glucose Metabolism in Japanese Workers
Kurotani, K., Kochi, T., Nanri, A., Tsuruoka, H., Kuwahara, K., Pham, N. M., Kabe, I., & Mizoue, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064758 · Cited by 10
The microbiome and transfusion in cancer patients
Goubran, H. A., Seghatchian, J., Radosevic, J., Ragab, G., & Burnouf, T. P. R. (2017) · Transfusion and Apheresis Science · doi:10.1016/j.transci.2017.05.023 · Cited by 10
Anti-inflammatory properties of antidiabetic agents
Xourgia, E., Tzouganatou, E.-M., Papazafiropoulou, A. K., & Melidonis, A. I. (2019) · World Journal of Meta-Analysis · doi:10.13105/wjma.v7.i4.129 · Cited by 11
Priscilla, L., Yoo, C., Jang, S., Park, S., Lim, G., Kim, T., & Lee, D. Y. (2024) · Bioactive Materials · doi:10.1016/j.bioactmat.2024.01.027 · Cited by 10
Шварц, В. Я. (2011) · Problems of Endocrinology · doi:10.14341/probl201157563-71 · Cited by 9
Interactions Between the Neuroendocrine System and T Lymphocytes in Diabetes
Andreone, L., Gimeno, M. L., & Perone, M. J. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00229 · Cited by 9
Study on the relationship between FFA and gout flare
Pei, L., Xie, L., Wu, J., Zhang, H., & Zhang, X. (2020) · Clinical Rheumatology · doi:10.1007/s10067-019-04903-9 · Cited by 9
Diabetes: a silent player in musculoskeletal interventional radiology response
Dimitri‐Pinheiro, S., Pimenta, M., Cardoso-Marinho, B., Torrão, H., Soares, R. A., & Karantanas, A. H. (2021) · Porto Biomedical Journal · doi:10.1097/j.pbj.0000000000000112 · Cited by 9
The shades of grey in adipose tissue reprogramming
Qi, Y., & Hui, X. H. (2022) · Bioscience Reports · doi:10.1042/bsr20212358 · Cited by 9
[Immunometabolism of exercise and sedentary lifestyle].
Moreno‐Eutímio, M. A., & Acosta‐Altamirano, G. (2014) · PubMed · Cited by 9
Spartano, N. L., Lamon‐Fava, S., Matthan, N. R., Obin, M. S., Greenberg, A. S., & Lichtenstein, A. H. (2014) · Lipids · doi:10.1007/s11745-014-3890-y · Cited by 9
Obesity and muscle‐macrophage crosstalk in humans and mice: A systematic review
Rudrapatna, S., Bhatt, M., Wang, K., Bierbrier, R., Wang, P., Banfield, L. E., Elsheikh, W., Sims, E. D., Peterson, D. C., Thabane, L., et al. (2019) · Obesity Reviews · doi:10.1111/obr.12922 · Cited by 9
Ali, M. M., McMillan, R. P., Fausnacht, D. W., KAVANAUGH, J. W., Harvey, M. M., STEVENS, J. R., Wu, Y., Mynatt, R. L., & Hulver, M. W. (2020) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002579 · Cited by 9
Gut Microbiota and Metabolic Diseases: From Pathogenesis to Therapeutic Perspective
Burcelin, R., Courtney, M., & Amar, J. (2014) · Molecular and integrative toxicology · doi:10.1007/978-1-4471-6539-2_11 · Cited by 9
Lafontan, M. (2012) · Annales Pharmaceutiques Françaises · doi:10.1016/j.pharma.2012.07.008 · Cited by 10
Long-chain fatty acids - The turning point between ‘mild’ and ‘severe’ acute pancreatitis
Liu, Q., Gu, X., Liu, X., Gu, Y., Zhang, H., Yang, J., & Huang, Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e31296 · Cited by 8
Zhang, H., Zeng, Z., Liu, Y., Zheng, W., Wang, J., Yao, Y., Wang, Y., Ji, M., & Hou, P. (2025) · Experimental & Molecular Medicine · doi:10.1038/s12276-025-01478-1 · Cited by 8
Reyes‐Farias, M., Fernández‐García, P., Corrales, P., González, L., Navarro‐Sanagustín, D., Soria‐Gondek, A., Pellitero, S., Tarascó, J., Moreno, P., Balibrea, J. M., et al. (2025) · Obesity · doi:10.1002/oby.24323 · Cited by 8
Ahn, C., Zhang, T., Rode, T., Yang, G., Chugh, O. K., Ellis, S., Ghayur, S., Mehta, S., Salzman, R. M., Jiang, H., et al. (2025) · The Journal of Physiology · doi:10.1113/jp289339 · Cited by 8
Challa, N. L., Sarkar, A., Kapettu, S., Phanithi, P. B., Chakrabarti, P., Parsa, K. V. L., & Misra, P. (2023) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2023.166878 · Cited by 8
Zhou, Q. T., Gwag, T., & Wang, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-47635-2 · Cited by 9
Hutchinson, A. L., Liddle, D. M., Monk, J. M., David, W. L., & Robinson, L. E. (2024) · Nutrients · doi:10.3390/nu16132086 · Cited by 11
Rolle der Metaflammation als systemische Manifestation bei Stoffwechselerkrankungen
Schäffler, A. (2022) · Die Innere Medizin · doi:10.1007/s00108-022-01416-7 · Cited by 8
Spartano, N. L., Lamon‐Fava, S., Matthan, N. R., Ronxhi, J., Greenberg, A. S., Obin, M. S., & Lichtenstein, A. H. (2014) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-0034-1374600 · Cited by 8
Tang, J., Yan, Y., Li, J., Yang, B., Zhao, X., Wan, Y., Zheng, J., Mi, J., & Li, D. (2018) · Journal of clinical lipidology · doi:10.1016/j.jacl.2018.09.013 · Cited by 9
Hamaguchi, K., Kurihara, T., Fujimoto, M., Sato, K., Iemitsu, M., Hamaoka, T., & Sanada, K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051620 · Cited by 8
Zhao, Y., Sun, Y., Ye, J., Zhang, Y., Shi, X.-B., Wang, J., Wu, H., Zhang, W., & Yao, Y. (2020) · Advances in Therapy · doi:10.1007/s12325-020-01368-0 · Cited by 9
Li, Z., Gao, K., Wang, M., Liang, S., Li, D., Zhang, P., Cheng, W., Xu, Z., & Li, N. (2025) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2025.09.004 · Cited by 7
An in vitro model of adipose tissue-associated macrophages
Bhatia, K., Tiwari, S., Gupta, V. K., Sapariya, N. M., & Upadhyay, S. K. (2024) · Journal of Biosciences · doi:10.1007/s12038-024-00464-5 · Cited by 8
Mujkić, R., Mujkić, D. Š., Ilić, I., Rođak, E., Šumanovac, A., Grgić, A., Divković, D., & Selthofer-Relatić, K. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073627 · Cited by 8
Onion peel extracts ameliorate oxidative stress in streptozotocin-induced diabetic rats
Mrinal, P., Roy, U. K., Datta, S., Tapas, G., Harlalka, S., & Lekha, B. (2013) · Serbian Journal of Experimental and Clinical Research · doi:10.5937/sjecr14-4346 · Cited by 7
Adipokines Involved in Macrophage Recruitment
Kim, D., Yoon, J. H., Kim, J. J., & Ryu, S. H. (2014) · InTech eBooks · doi:10.5772/57558 · Cited by 8
Acquiring Kupffer Cells in Mice Using a MACS-Based Method
Zhang, C., Lu, Y., Zhou, H., Lu, H., Qian, X., Liu, X., Wang, X., Ding, Z., Zhang, F., & Lü, L. (2015) · Transplantation Proceedings · doi:10.1016/j.transproceed.2015.01.018 · Cited by 7
Vyas, D., Deshpande, K. S., Chaturvedi, L., Laput, G. P., & Ching, K. (2015) · Journal of Clinical Medicine Research · doi:10.14740/jocmr2365w · Cited by 7
Korf, H., Boesch, M., Feio‐Azevedo, R., Smets, L., Vandecasteele, R., & der Merwe, V. (2019) · Immunometabolism · doi:10.20900/immunometab20200001 · Cited by 8
GRK2 levels in myeloid cells modulate adipose-liver crosstalk in high fat diet-induced obesity
Vila‐Bedmar, R., Cruces‐Sande, M., Arcones, A. C., Willemen, H. L. D. M., Prieto, P., Moreno‐Indias, I., Díaz‐Rodríguez, D., Francisco, S., Jaén, R. I., Gutiérrez‐Repiso, C., et al. (2020) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03442-5 · Cited by 7
van Eijk, M., Aten, J., Bijl, N., Ottenhoff, R., van Roomen, C. P. A. A., Dubbelhuis, P. F., Seemann, I., der Vlugt, K. G., Overkleeft, H. S., ARBEENY, C. M., et al. (2009) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2009.06.130 · Cited by 7
Xue, J., Liu, W., Ling, X., Li, J., Ji, J., Wang, B., & Zhao, M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35888 · Cited by 6
Role of transforming growth factor-β1 in regulating adipocyte progenitors
Phuong, N. Q., Bilal, M., Nawaz, A., Anh, L. D., Memoona, M., Aslam, M. R., Khalid, S., Kado, T., Watanabe, Y., Nishimura, A., et al. (2025) · Scientific Reports · doi:10.1038/s41598-024-81917-7 · Cited by 6
Chen, J., Li, F., Su, Z., He, Y., Liu, T., Luo, Y., Hou, X., Song, C., Liu, Z., & Hao, P. (2025) · Tissue and Cell · doi:10.1016/j.tice.2025.103302 · Cited by 6
Zappia, E., Bennardo, S., Fasano, G., Raffaele, V., Zingoni, T., Pieri, L., Ronconi, L., Bonan, P., Bennardo, L., Tammaro, A., et al. (2025) · Cosmetics · doi:10.3390/cosmetics12020042 · Cited by 6
Caloric Restriction and Formalin-Induced Inflammation: An Experimental Study in Rat Model
Nozad, A., Safari, M. B., Saboory, E., Derafshpoor, L., Moghaddam, P. M., Ghaffari, F., & Naseri, M. (2015) · Iranian Red Crescent Medical Journal · doi:10.5812/ircmj.22590v2 · Cited by 6
Leonard, S., Tobin, L. M., & Findlay, J. B. C. (2017) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2017.01.007 · Cited by 6
Moriya, R., Takahashi, K., Kitahara, A., Onuma, H., Handa, K., Sumitani, Y., Tanaka, T., Katsuta, H., Nishida, S., Itagaki, E., et al. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.01.120 · Cited by 6
Albakri, A., Al-Domi, H. A., Majdalani, K. S., & Nawaiseh, H. K. (2014) · Jordan Journal of Agricultural Sciences · Cited by 6
Obesity and Osteoarthritis: More Than Just Mechanics
Conway, R. P., & McCarthy, G. (2015) · EMJ Rheumatology · doi:10.33590/emjrheumatol/10311763 · Cited by 6
Jia, K., Wu, Y. C., Ju, J., Wang, L., Shi, L., Wu, H., Jiang, K., & Dong, J. (2019) · PeerJ · doi:10.7717/peerj.6343 · Cited by 6
Викторович, А. М., & Drapkina, O. M. (2021) · Rational Pharmacotherapy in Cardiology · doi:10.20996/1819-6446-2021-08-05 · Cited by 6
Chen, C., Zhang, W. K., Shi, H., Zhuo, Y., Yang, G., Zhang, A., Hou, Y., Tan, R. X., & Li, E. (2015) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2015.06.021 · Cited by 6
The Pivotal Role of Macrophages in Metabolic Distress
Roberts, J., Fallon, P. G., & Hams, E. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.86474 · Cited by 8
Olthof, E. D., Gülich, A. F., Renne, M. F., Landman, S., Joosten, L. A. B., Roelofs, H. M. J., & Wanten, G. J. A. (2015) · Toxicology in Vitro · doi:10.1016/j.tiv.2015.07.004 · Cited by 6
Role of Saturated and Polyunsaturated Fat in Obesity-Related Inflammation
Galgani, J. E., & García‐Díaz, D. F. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397803-5.00025-3 · Cited by 7
Metabolic reprogramming of fetal hematopoietic stem and progenitor cells by maternal obesity
Varlamov, O. (2025) · Frontiers in Hematology · doi:10.3389/frhem.2025.1575143 · Cited by 5
Xiao, X., Zhao, J., Ye, G., Li, H., & Huang, X. (2026) · Inflammation · doi:10.1007/s10753-025-02369-3 · Cited by 5
Adipose tissue catecholamine resistance: a metabolic safeguard that challenges weight control
Guardia, L. D., & Shin, A. C. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156590 · Cited by 7
Mullin, S. M., Kelly, A. J., Chathail, M. B. N., Norris, S., Shannon, C. E., & Roche, H. M. (2025) · Advances in Nutrition · doi:10.1016/j.advnut.2025.100375 · Cited by 10
Yang, J., Wu, Y. Z., Jiang, Z., Jiao, L., & Wang, Y. (2025) · Journal of Food Science · doi:10.1111/1750-3841.70015 · Cited by 5
Nutrition and the state of the intestinal microflora in the formation of the metabolic syndrome
Patrakeeva, V. P., & Анатольевич, Ш. В. (2022) · Obesity and metabolism · doi:10.14341/omet12893 · Cited by 5
Guan, J., Abudouaini, H., Lin, K., & Yang, K. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01369-x · Cited by 6
RetractedThe Functions of SARS-CoV-2 Receptors in Diabetes-Related Severe COVID-19
Drzymała, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179635 · Cited by 6
Zakavi, I., Karimyan, A., Isazadeh, R., Bahadoram, M., Sough, A. J., & Valipour, A. A. (2018) · Cited by 5
Weight and organ specific immune cell profiling of sleeve gastrectomy in mice
Harris, D. A., Subramaniam, R., Brenner, T. A., Tavakkoli, A., & Sheu, E. G. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154729 · Cited by 6
Recent advances in reprogramming lactate metabolism in polycystic ovary syndrome
Xu, J., Chen, W., Huang, M.-N., Zheng, L., Huang, S.-Y., Lin, S., & Shi, Q. (2025) · Journal of Ovarian Research · doi:10.1186/s13048-025-01797-x · Cited by 5
Modulation and Reprogramming of Adipose Tissue Macrophages in Obesity
Liu, Y., Huang, X., Sang, L., Zhang, Y., Cao, J., & Kong, Q. (2026) · Biomolecules · doi:10.3390/biom16020339 · Cited by 6
Effects of Calorie Restriction and Fasting on Macrophage: Potential Impact on Disease Outcomes?
Wang, L., Wang, R., Yu, X., Shi, Y., Li, S., & Yuan, Y. (2023) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202300380 · Cited by 4
Metadata
- Authors
- 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.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Nguyen, M. T. Audrey
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 282
- Issue
- 48
- Pages
- 35279-35292
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2063131576
- Cited by
- 1,035
- References
- 36
- Citations by year
- 2026: 26 · 2025: 37 · 2024: 29 · 2023: 32 · 2022: 52 · 2021: 52 · 2020: 45 · 2019: 55 · 2018: 48 · 2017: 66 · 2016: 67 · 2015: 59 · 2014: 84 · 2013: 91 · 2012: 74
- FWCI
- 31.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Biological Chemistry (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- American Heart Association
- National Institutes of Health (5r03ar049416-03, DK 074868)
- University of California, San Diego
- National Institute of Diabetes and Digestive and Kidney Diseases (DK 074868, DK-33651, P01DK074868)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (AR049416)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- free fatty acids, adipose tissue macrophages, TLR2, TLR4, JNK signaling, dendritic cells, CD11c, bone marrow-derived macrophages, adipose tissue inflammation, insulin resistance, obesity, type 2 diabetes, high-fat diet, ob/ob mice, skeletal muscle inflammation, myotubes
- MeSH terms
- Adipose Tissue, Animals, Bone Marrow Cells, Fatty Acids, Nonesterified, Inflammation, Insulin Resistance, Macrophages, Male, Mice, Inbred C57BL, Models, Biological, Signal Transduction, CD11b Antigen, CD11c Antigen, MAP Kinase Kinase 4, Toll-Like Receptor 2, Toll-Like Receptor 4, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
