The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
MicroRNA-33-dependent regulation of macrophage metabolism directs immune cell polarization in atherosclerosis
Open accessAbstract
Cellular metabolism is increasingly recognized as a controller of immune cell fate and function. MicroRNA-33 (miR-33) regulates cellular lipid metabolism and represses genes involved in cholesterol efflux, HDL biogenesis, and fatty acid oxidation. Here, we determined that miR-33-mediated disruption of the balance of aerobic glycolysis and mitochondrial oxidative phosphorylation instructs macrophage inflammatory polarization and shapes innate and adaptive immune responses. Macrophage-specific Mir33 deletion increased oxidative respiration, enhanced spare respiratory capacity, and induced an M2 macrophage polarization-associated gene profile. Furthermore, miR-33-mediated M2 polarization required miR-33 targeting of the energy sensor AMP-activated protein kinase (AMPK), but not cholesterol efflux. Notably, miR-33 inhibition increased macrophage expression of the retinoic acid-producing enzyme aldehyde dehydrogenase family 1, subfamily A2 (ALDH1A2) and retinal dehydrogenase activity both in vitro and in a mouse model. Consistent with the ability of retinoic acid to foster inducible Tregs, miR-33-depleted macrophages had an enhanced capacity to induce forkhead box P3 (FOXP3) expression in naive CD4(+) T cells. Finally, treatment of hypercholesterolemic mice with miR-33 inhibitors for 8 weeks resulted in accumulation of inflammation-suppressing M2 macrophages and FOXP3(+) Tregs in plaques and reduced atherosclerosis progression. Collectively, these results reveal that miR-33 regulates macrophage inflammation and demonstrate that miR-33 antagonism is atheroprotective, in part, by reducing plaque inflammation by promoting M2 macrophage polarization and Treg induction.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Inhibition of miR-33a or miR-33a deletion in macrophages has been shown to affect myeloid cell differentiation 25) , induce M2 macrophage polarization with mitochondrial respiratory and metabolic changes 26 , 27) , and enhance autophagy 28 , 29) .”
From Critical Role of microRNA-33a/b in Cardiovascular and Metabolic Disease: Molecular Mechanisms and Therapeutic Perspectives (2026) · cites this paper as [26]
In the citing paper
“several studies have found that antagonism of miR-33 can reduce atherosclerotic plaque burden (Karunakaran et al., 2015; Ouimet et al., 2015; Rayner et al., 2011b; Rotllan et al., 2013).”
From Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis (2017) · cites this paper as Ouimet et al., 2015
In the citing paper
“Expression of miR-33 is also overexpressed in M1, thus promoting pro-inflammatory functions [132].”
From MicroRNAs as Regulators of Phagocytosis (2022) · cites this paper as [132]
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
Macrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684 · cited 3×
“In addition, macrophages play important roles in tissue homeostasis and resolution of inflammation (2).”
AMPK: a nutrient and energy sensor that maintains energy homeostasis
Hardie, D. G., Ross, F. A., & Hawley, S. A. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3311 · Cited by 4,602
Succinate is an inflammatory signal that induces IL-1β through HIF-1α
Tannahill, G. M., Curtis, A. M., Adamik, J., Palsson-McDermott, E. M., McGettrick, A. F., Goel, G., Frezza, C., Bernard, N. J., Kelly, B., Foley, N. H., et al. (2013) · Nature · doi:10.1038/nature11986 · Cited by 4,176
Monocyte recruitment during infection and inflammation
Shi, C., & Pamer, E. G. (2011) · Nature Reviews Immunology · doi:10.1038/nri3070 · Cited by 3,015
Macrophages in the Pathogenesis of Atherosclerosis
Moore, K. J., & Tabas, I. (2011) · Cell · doi:10.1016/j.cell.2011.04.005 · Cited by 2,669
Self-citationMacrophages in atherosclerosis: a dynamic balance
Moore, K. J., Sheedy, F. J., & Fisher, E. A. (2013) · Nature reviews. Immunology · doi:10.1038/nri3520 · Cited by 2,559
Self-citationMetabolic control through the PGC-1 family of transcription coactivators
Lin, J., Handschin, C., & Spiegelman, B. M. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.05.004 · Cited by 2,130 · cited 1×
“…malonyl-CoA–mediated inhibition of CPT1 and stimulating uptake of activated fatty acids into the mitochondria (44, 45), and (b) enhancement of expression of SIRT1 and PGC-1 α , resulting in transcriptional activation of genes involved in mitochondrial FAO and mitochondrial biogenesis (46, 47).”
Michalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091
Shi, L. Z., Wang, R., Huang, G., Vogel, P., Neale, G., Green, D. R., & Chi, H. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20110278 · Cited by 1,803
Oxidative metabolism and PGC-1β attenuate macrophage-mediated inflammation
Vats, D., Mukundan, L., Odegaard, J. I., Zhang, L., Smith, K. L., Morel, C. R., Greaves, D. R., Murray, P. J., & Chawla, A. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.05.011 · Cited by 1,369
Cited by
Sorted by citations
Items 101–200 of 395
Genetic deficiency or pharmacological inhibition of miR-33 protects from kidney fibrosis
Price, N. L., Miguel, V., Ding, W. J., Singh, A. K., Malik, S., Rotllán, N., Moshnikova, A., Toczek, J., Zeiss, C. J., Sadeghi, M. M., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.131102 · Cited by 66
Circulating microRNAs as biomarkers for metabolic disease
Párrizas, M., & Novials, A. (2016) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2016.08.001 · Cited by 67
MicroRNAs as Therapeutic Targets and Clinical Biomarkers in Atherosclerosis
Solly, E. L., Dimasi, C. G., Bursill, C. A., Psaltis, P. J., & Tan, J. T. M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122199 · Cited by 68
The role of IL-10 in Mycobacterium avium subsp. paratuberculosis infection
Hussain, T. A., Shah, S. Z. A., Zhao, D., Sreevatsan, S., & Zhou, X. (2016) · Cell Communication and Signaling · doi:10.1186/s12964-016-0152-z · Cited by 68
Hoogeveen, R. M., Nahrendorf, M., Riksen, N. P., Netea, M. G., de Winther, M. P. J., Lutgens, E., Nordestgaard, B. G., Neidhart, M., Stroes, E. S. G., Catapano, A. L., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx581 · Cited by 65
Moradi‐Chaleshtori, M., Bandehpour, M., Soudi, S., Mohammadi‐Yeganeh, S., & Hashemi, S. M. (2020) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-020-02762-x · Cited by 66
Zhu, Y., Zhang, S., Sun, J., Wang, T., Liu, Q., Wu, G., Qian, Y., Yang, W., Wang, Y., & Wang, W. (2021) · International Journal of Oral Science · doi:10.1038/s41368-021-00128-2 · Cited by 67
Micro-RNAs and High-Density Lipoprotein Metabolism
Canfrán‐Duque, A., Lin, C., Goedeke, L., Suárez, Y., & Fernandez-Hernando, C. F. (2016) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.116.307028 · Cited by 64
Tang, R.-Z., Zhu, J., Yang, F., Zhang, Y., Xie, S.-A., Liu, Y.-F., Yao, W., Pang, W., Han, L.-L., Kong, W., et al. (2019) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2019.01.009 · Cited by 64
Lai, L., Azzam, K. M., Lin, W.-C., Rai, P., Lowe, J. M., Gabor, K. A., Madenspacher, J. H., Aloor, J. J., Parks, J. S., Näär, A. M., et al. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.723056 · Cited by 67
Macrophages utilize the mitochondrial calcium uniporter for profibrotic polarization
Gu, L., Larson‐Casey, J. L., & Carter, A. B. (2017) · The FASEB Journal · doi:10.1096/fj.201601371r · Cited by 63
Yang, Y., Wang, J., Guo, S., Pourteymour, S., Xu, Q., Gong, J., Huang, Z., Shen, Z., Diabakte, K., Cao, Z., et al. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101501 · Cited by 63
MicroRNA regulation of macrophages in human pathologies
Wei, Y., & Schober, A. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2254-6 · Cited by 65
The role of miRNAs in cardiovascular disease risk factors
Buie, J. N. J., Goodwin, A. J., IV, Cook, J. A., Halushka, P. V., & Fan, H. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.09.067 · Cited by 63
Noncoding RNA s as therapeutic targets in atherosclerosis with diabetes mellitus
Tang, N., Jiang, S., Yang, Y., Liu, S., Ponnusamy, M., Xin, H., & Yu, T. (2018) · Cardiovascular Therapeutics · doi:10.1111/1755-5922.12436 · Cited by 63
Tuning macrophages for atherosclerosis treatment
Fang, F., Xiao, C., Li, C., Liu, X., & Li, S. (2022) · Regenerative Biomaterials · doi:10.1093/rb/rbac103 · Cited by 65
Promising landscape for regulating macrophage polarization: epigenetic viewpoint
Zhou, D., Yang, K., Chen, L., Zhang, W., Xu, Z., Zuo, J., Jiang, H., & Luan, J. (2017) · Oncotarget · doi:10.18632/oncotarget.17027 · Cited by 64
Similarities in the Metabolic Reprogramming of Immune System and Endothelium
Tang, C.-Y., & Mauro, C. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00837 · Cited by 62
Redka, D. S., Gütschow, M., Grinstein, S., & Canton, J. (2018) · Molecular Biology of the Cell · doi:10.1091/mbc.e17-06-0419 · Cited by 58
Elucidating the contributory role of microRNA to cardiovascular diseases (a review)
Johnson, J. L. (2018) · Vascular Pharmacology · doi:10.1016/j.vph.2018.10.010 · Cited by 60
Proteomic characterization of four subtypes of M2 macrophages derived from human THP-1 cells
Li, P., Ma, C., Li, J., You, S., Dang, L., Wu, J., Hao, Z., Li, J., Zhi, Y., Chen, L., et al. (2022) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2100930 · Cited by 56
Jiang, T., Xu, L., Zhao, M., Kong, F., Lu, X., Tang, C., & Yin, C. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121324 · Cited by 57
Duan, M., Chen, H., Yin, L., Zhu, X., Novák, P., Lv, Y.-C., Zhao, G., & Yin, K. (2022) · Cell Communication and Signaling · doi:10.1186/s12964-022-00858-8 · Cited by 57
Immunometabolism at the Heart of Cardiovascular Disease
DeBerge, M., Chaudhary, R. K., Schroth, S. L., & Thorp, E. B. (2023) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2022.12.010 · Cited by 59
Киселева, В. В., Vishnyakova, P., Elchaninov, A. V., Fatkhudinov, T., & Sukhikh, G. T. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110583 · Cited by 55
Posttranscriptional regulation of lipid metabolism by non-coding RNAs and RNA binding proteins
Singh, A. K., Aryal, B. K., Zhang, X., Fan, Y., Price, N. L., Suárez, Y., & Fernandez-Hernando, C. F. (2017) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2017.11.026 · Cited by 55
Nagenborg, J., Goossens, P., Biessen, E. A. L., & Donners, M. M. P. C. (2017) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2017.10.005 · Cited by 50
Yang, Y., Luo, N., Ying, R., Xie, Y., Chen, J., Wang, X., Gu, Z.-J., Mai, J., Liu, W., Wu, M., et al. (2017) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2017.3034 · Cited by 54
Non-coding RNAs in lipid metabolism
Zhang, X., Price, N. L., & Fernandez-Hernando, C. F. (2018) · Vascular Pharmacology · doi:10.1016/j.vph.2018.06.011 · Cited by 54
Stamatikos, A., Knight, E., Vojtech, L. N., Bi, L., Wacker, B. K., Tang, C., & Dichek, D. A. (2019) · Human Gene Therapy · doi:10.1089/hum.2019.245 · Cited by 54
A New Insight into the Roles of MiRNAs in Metabolic Syndrome
Huang, Y., Yan, Y., Xv, W., Ge, Q., Li, C., Zou, H., & Li, Y. (2018) · BioMed Research International · doi:10.1155/2018/7372636 · Cited by 56
Li, S., Sun, W., Zheng, H., & Tian, F. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.03.173 · Cited by 51
Role of Non-Coding RNAs in Stroke
Tiedt, S., & Dichgans, M. (2018) · Stroke · doi:10.1161/strokeaha.118.021010 · Cited by 52
Nanoceutical Adjuvants as Wound Healing Material: Precepts and Prospects
Banerjee, K., Madhyastha, R., Nakajima, Y., Maruyama, M., & Madhyastha, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094748 · Cited by 53
Zhou, L., Zhang, C., Yang, X. W., Liu, L., Hu, J., Hou, Y., Tao, H., Sugimura, H., Chen, Z., Wang, L., et al. (2021) · Clinical and Translational Medicine · doi:10.1002/ctm2.449 · Cited by 52
miR-33 Silencing Reprograms the Immune Cell Landscape in Atherosclerotic Plaques
Afonso, M. S., Sharma, M., Schlegel, M., van Solingen, C., Koelwyn, G. J., Shanley, L. C., Beckett, L., Peled, D., Rahman, K., Giannarelli, C., et al. (2021) · Circulation Research · doi:10.1161/circresaha.120.317914 · Cited by 53
Self-citationSilencing Myeloid Netrin-1 Induces Inflammation Resolution and Plaque Regression
Schlegel, M., Sharma, M., Brown, E. J., Newman, A. A. C., Cyr, Y., Afonso, M. S., Corr, E. M., Koelwyn, G. J., Solingen, C. V., Guzman, J., et al. (2021) · Circulation Research · doi:10.1161/circresaha.121.319313 · Cited by 51
Self-citationMuhuri, M., Zhan, W., Maeda, Y., Li, J., Lotun, A., Chen, J., Sylvia, K., Dasgupta, I., Arjomandnejad, M., Nixon, T., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.674242 · Cited by 50
Price, N. L., Zhang, X., Fernández-Tussy, P., Singh, A. K., Burnap, S. A., Rotllan, N., Goedeke, L., Sun, J., Canfrán-Duque, A., Aryal, B., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006478118 · Cited by 50
Macrophage states: there's a method in the madness
Katkar, G. D., & Ghosh, P. (2023) · Trends in Immunology · doi:10.1016/j.it.2023.10.006 · Cited by 52
Etzerodt, A., Berg, R. M. G., Plovsing, R. R., Andersen, M. N., Bébien, M., Habbeddine, M., Lawrence, T., Møller, H. J., & Moestrup, S. K. (2017) · Scientific Reports · doi:10.1038/srep40286 · Cited by 49
Guo, S., Lu, J., Zhuo, Y., Xiao, M., Xue, X., Zhong, S., Shen, X., Yin, C., Li, L., Chen, Q., et al. (2018) · Redox Biology · doi:10.1016/j.redox.2018.101069 · Cited by 50
Cell-specific epigenetic changes in atherosclerosis
Khan, A. W., Paneni, F., & Jandeleit-Dahm, K. A. M. (2021) · Clinical Science · doi:10.1042/cs20201066 · Cited by 46
AMPK at the interface of nutrient sensing, metabolic flux and energy homeostasis
Smith, T. K. T., Townsend, L. K., Smiles, W. J., Oakhill, J. S., Fullerton, M. D., & Steinberg, G. R. (2026) · Nature Metabolism · doi:10.1038/s42255-025-01442-3 · Cited by 55
Self-citationA Review of Adropin as the Medium of Dialogue between Energy Regulation and Immune Regulation
Zhang, S., Chen, Q., Lin, X.-C., Chen, M., & Liu, Q. (2020) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2020/3947806 · Cited by 46
miRNA regulation of LDL-cholesterol metabolism
Goedeke, L., Wagschal, A., Fernández-Hernando, C., & Näär, A. M. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2016.03.007 · Cited by 39
Shao, D., Lian, Z., Di, Y., Zhang, L., Rajoka, M. S. R., Zhang, Y., Kong, J., Jiang, C., & Shi, J. (2018) · npj Science of Food · doi:10.1038/s41538-018-0022-8 · Cited by 49
Functional regulatory roles of microRNAs in atherosclerosis
Gao, Y., Peng, J., Ren, Z., He, N.-Y., Li, Q., Zhao, X., Wang, M., Wen, H.-Y., Tang, Z., Jiang, Z.-S., et al. (2016) · Clinica Chimica Acta · doi:10.1016/j.cca.2016.06.044 · Cited by 44
MicroRNAs: At the Interface of Metabolic Pathways and Inflammatory Responses by Macrophages
Nelson, M. C., & O’Connell, R. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01797 · Cited by 45
MicroRNAs and Circular RNAs in Lipoprotein Metabolism
Fernández‐Tussy, P., Ruz‐Maldonado, I., & Fernandez-Hernando, C. F. (2021) · Current Atherosclerosis Reports · doi:10.1007/s11883-021-00934-3 · Cited by 44
Vallée, A., Vallée, J.-N., & Lecarpentier, Y. (2019) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2019.05.024 · Cited by 46
Advancements in Macrophage-Targeted Drug Delivery for Effective Disease Management
Liu, H., Lv, H., Duan, X., Du, Y., Tang, Y., & Xu, W. (2023) · International Journal of Nanomedicine · doi:10.2147/ijn.s430877 · Cited by 46
Gadde, S., & Rayner, K. J. (2016) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.116.307481 · Cited by 44
Self-citationHan, Q., Su, D., Shi, C., Liu, P., Wang, Y., Zhu, B., & Xia, X. (2020) · Food & Function · doi:10.1039/c9fo02471a · Cited by 44
Li, Y., Feng, L., Li, G., An, J., Zhang, S., Li, J., Liu, J., Ren, J., Yang, L., & Qi, Z. (2020) · International Immunopharmacology · doi:10.1016/j.intimp.2020.106508 · Cited by 45
MicroRNA regulation of cholesterol metabolism
Citrin, K. M., Fernandez-Hernando, C. F., & Suárez, Y. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14566 · Cited by 45
Role of MicroRNAs in the development and function of innate immune cells
Kingsley, S. M. K., & Bhat, B. V. (2017) · International Reviews of Immunology · doi:10.1080/08830185.2017.1284212 · Cited by 43
The role of T cells in acute ischemic stroke
Wang, Y.-R., Cui, W., Wu, H., Xu, X., & Xu, X.-Q. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.03.005 · Cited by 45
IFIH1 Contributes to M1 Macrophage Polarization in ARDS
Zhang, S., Chu, C., Wu, Z., Liu, F., Xie, J., Yang, Y., & Qiu, H. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.580838 · Cited by 42
Wang, C., Wang, X., Zhang, D., Sun, X., Wu, Y., Wang, J., Li, Q., & Jiang, G. (2023) · Oncology Reports · doi:10.3892/or.2023.8627 · Cited by 43
MicroRNAs in tumor immunity: functional regulation in tumor-associated macrophages
Chen, C., Liu, J., & Luo, Y. (2019) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b1900452 · Cited by 41
Ma, C., Zhang, J., Yang, S., Hua, Y., Su, J., Shang, Y., Wang, Z., Feng, K., Zhang, J., Yang, X., et al. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.610550 · Cited by 41
Ortega, R., Liu, B., & Persaud, S. J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310777 · Cited by 45
Advances in Glycolysis Metabolism of Atherosclerosis
Xu, R., Yuan, W., & Wang, Z. (2022) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-022-10311-3 · Cited by 41
Li, G., Li, Y., & Wang, D. (2020) · Cell Biology International · doi:10.1002/cbin.11476 · Cited by 39
Wei, X., Sun, Y., Han, T., Zhu, J., Xie, Y., Wang, S., Wu, Y., Fan, Y., Sun, X., Zhou, J., et al. (2019) · BMC Cardiovascular Disorders · doi:10.1186/s12872-019-1120-5 · Cited by 38
Targeting macrophages using nanoparticles: a potential therapeutic strategy for atherosclerosis
Zang, X., Cheng, M., Zhang, X., & Chen, X. (2021) · Journal of Materials Chemistry B · doi:10.1039/d0tb02956d · Cited by 38
Lee, M. K. S., Cooney, O. D., Lin, X., Nadarajah, S., Dragoljevic, D., Huynh, K., Onda, D.-A., Galić, S., Meikle, P. J., Edlund, H., et al. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101514 · Cited by 38
Self-citationMicroRNA‑33 regulates the NLRP3 inflammasome signaling pathway in macrophages
Xie, Q., Meng, W., Zhang, B., Kang, X., Liu, D., Zheng, W., Pan, X., Quan, Y., Liao, D., & Shen, J. (2017) · Molecular Medicine Reports · doi:10.3892/mmr.2017.8224 · Cited by 38
Zhang, J., Zhao, W.-S., Xu, L., Wang, X., Li, X.-L., & Yang, X.-C. (2020) · Experimental Cell Research · doi:10.1016/j.yexcr.2020.112443 · Cited by 36
Casein Kinase 2 Interacting Protein-1 regulates M1 and M2 inflammatory macrophage polarization
Chen, Y., Liu, W., Wang, Y., Zhang, L., Wei, J., Zhang, X., He, F., & Zhang, L. (2017) · Cellular Signalling · doi:10.1016/j.cellsig.2017.02.015 · Cited by 38
miR‐33 in cardiometabolic diseases: lessons learned from novel animal models and approaches
Price, N. L., Goedeke, L., Suárez, Y., & Fernández‐Hernando, C. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202012606 · Cited by 36
“…inhibitors are able to transduce aortic root macrophages in Ldlr-/- mice and promote their polarization toward an anti-inflammatory M2 phenotype (Ouimet et al, 2015) through targeting of AMPK. miR-33 has also been shown to repress SIRT6, a NAD+-dependent protein deacetylase that has previously…”
BackgroundInfluentialTraughber, C. A., Timinski, K., Prince, A., Bhandari, N., Neupane, K., Khan, M. R., Opoku, E., Opoku, E., Brubaker, G., Shin, J., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.033881 · Cited by 36
Epigenetic regulation in monocyte/macrophage: A key player during atherosclerosis
Jia, S., Gao, K., & Zhao, M. (2017) · Cardiovascular Therapeutics · doi:10.1111/1755-5922.12262 · Cited by 36
Circulating miRNA-33: a potential biomarker in patients with coronary artery disease
Reddy, L. L., Shah, S. A. V., Ponde, C. K., Rajani, R. M., & Ashavaid, T. F. (2018) · Biomarkers · doi:10.1080/1354750x.2018.1501760 · Cited by 37
Coronary Artery Ectasia: Review of the Non-Atherosclerotic Molecular and Pathophysiologic Concepts
Richards, G., Hong, K. L., Henein, M. Y., Hanratty, C. G., & Boles, U. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23095195 · Cited by 35
MicroRNAs in Macrophages: Regulators of Activation and Function
Sprenkle, N. T., Serezani, C. H., & Pua, H. H. (2023) · The Journal of Immunology · doi:10.4049/jimmunol.2200467 · Cited by 39
Hohensinner, P. J., Baumgartner, J., Kral-Pointner, J. B., Uhrín, P., Ebenbauer, B., Thaler, B., Doberer, K., Stojković, S., Demyanets, S., Fischer, M. B., et al. (2017) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.117.309383 · Cited by 35
Metabolism and Autoimmune Responses: The microRNA Connection
Colamatteo, A., Micillo, T., Bruzzaniti, S., Fusco, C., Garavelli, S., Rosa, V. D., Galgani, M., Spagnuolo, M. I., Rella, F. D., Puca, A. A., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01969 · Cited by 38
Shao, D., Di, Y., Lian, Z., Zhu, B., Xu, X.-G., Guo, D., Huang, Q.-S., Jiang, C.-M., Kong, J., & Shi, J.-L. (2020) · Food & Function · doi:10.1039/c9fo02352f · Cited by 30
Human MicroRNA-548p Decreases Hepatic Apolipoprotein B Secretion and Lipid Synthesis
Zhou, L., & Hussain, M. M. (2017) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.117.309247 · Cited by 35
MicroRNAs: Key modulators of inflammation-associated diseases
Chatterjee, B., Sarkar, M., Bose, S., Alam, M. T., Chaudhary, A. A., Dixit, A. K., Tripathi, P. P., & Srivastava, A. K. (2023) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2023.01.009 · Cited by 35
Zare, E., Yaghoubi, S. M., Khoshnazar, M., Dargahlou, S. J., Machhar, J. S., Zheng, Z., Duijf, P. H. G., & Mansoori, B. (2025) · Cancers · doi:10.3390/cancers17132172 · Cited by 34
Gao, S., Wang, Y., Li, D., Guo, Y., Zhu, M., Xu, S., Mao, J., & Fan, G. (2018) · Inflammation · doi:10.1007/s10753-018-0891-7 · Cited by 35
Genomic Variants and Multilevel Regulation of ABCA1, ABCG1, and SCARB1 Expression in Atherogenesis
Rozhkova, A. V., Dmitrieva, V. G., Nosova, E. V., Dergunov, A. D., Limborska, S. A., & Dergunova, L. V. (2021) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd8120170 · Cited by 39
Nie, L., Cai, S.-Y., Sun, J., & Chen, J. (2018) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2018.11.030 · Cited by 35
The salient role of microRNAs in atherogenesis
Donaldson, C. J., Lao, K. H., & Zeng, L. (2018) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2018.08.004 · Cited by 32
Ironing out Macrophage Immunometabolism
Recalcati, S., Gammella, E., & Cairo, G. (2019) · Pharmaceuticals · doi:10.3390/ph12020094 · Cited by 35
SREBF1/MicroRNA-33b Axis Exhibits Potent Effect on Unstable Atherosclerotic Plaque Formation In Vivo
Nishino, T., Horie, T., Baba, O., Sowa, N., Hanada, R., Kuwabara, Y., Nakao, T., Nishiga, M., Nishi, H., Nakashima, Y., et al. (2018) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.118.311409 · Cited by 33
Macrophage-based pathogenesis and theranostics of vulnerable plaques
Fang, F., Wang, E., Fang, M.-J., Yue, H.-Y., Yang, H., & Liu, X.-H. (2025) · Theranostics · doi:10.7150/thno.105256 · Cited by 31
Anti-sense oligonucleotide therapies for the treatment of hyperlipidaemia
Wierzbicki, A. S., & Viljoen, A. (2016) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2016.1196182 · Cited by 32
Metabolism of innate immune cells: impact on atherosclerosis
Riksen, N. P., & Stienstra, R. (2018) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000539 · Cited by 32
MicroRNA-33/33* inhibit the activation of MAVS through AMPK in antiviral innate immunity
Liu, D., Tan, Q., Zhu, J., Zhang, Y., Xue, Y., Song, Y., Liu, Y., Wang, Q., & Lai, L. (2019) · Cellular and Molecular Immunology · doi:10.1038/s41423-019-0326-x · Cited by 32
Zhu, X., Tu, Y., Chen, H., Jackson, A. O., Patel, V. B., & Yin, K. (2018) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2993 · Cited by 31
Macrophage MicroRNAs as Therapeutic Targets for Atherosclerosis, Metabolic Syndrome, and Cancer
Wei, Y., Zhu, M., & Schober, A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19061756 · Cited by 32
Decoding microRNA drivers in atherosclerosis
Vartak, T., Kumaresan, S., & Brennan, E. P. (2022) · Bioscience Reports · doi:10.1042/bsr20212355 · Cited by 29
Zhang, X., Shao, R., Gao, W., Sun, G., Liu, Y., & Fa, X. (2018) · Experimental Cell Research · doi:10.1016/j.yexcr.2018.01.015 · Cited by 31
Non-coding RNAs as therapeutic targets in cancer and its clinical application
Leng, X., Zhang, M., Xu, Y., Wang, J., Ding, N., Yu, Y., Sun, S., Dai, W., Xue, X., Li, N., et al. (2024) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2024.02.001 · Cited by 31
Yang, P.-L., Rong, X.-L., Gao, Z., Wang, J.-J., & Liu, Z. (2025) · Pharmacological Research · doi:10.1016/j.phrs.2025.107588 · Cited by 29
Shao, Y., Li, C., Xu, W., Zhang, P., Zhang, W., & Zhao, X. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00263 · Cited by 29
Metadata
- Authors
- Ouimet, M., Ediriweera, H. N., Gundra, U. M., Sheedy, F. J., Ramkhelawon, B., Hutchison, S. B., Rinehold, K., van Solingen, C., Fullerton, M. D., Cecchini, K., Rayner, K. J., Steinberg, G. R., Zamore, P. D., Fisher, E. A., Loke, P., & Moore, K. J.
- Affiliations
- New York University (US)
- University of Ottawa (CA)
- Howard Hughes Medical Institute (US)
- McMaster University (CA)
- NYU Langone Health (US)
- ORCID
- Venue
- Journal of Clinical Investigation
- Published
- 2015-10-26
- Volume
- 125
- Issue
- 12
- Pages
- 4334-4348
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- PMC
- PMC4665799
- OpenAlex
- W2123366371
- Cited by
- 394
- References
- 67
- Citations by year
- 2026: 19 · 2025: 21 · 2024: 27 · 2023: 37 · 2022: 24 · 2021: 45 · 2020: 45 · 2019: 46 · 2018: 35 · 2017: 47 · 2016: 33 · 2015: 1
- FWCI
- 19.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Investigation (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Heart Association (14POST20180018, 15POST25090199)
- NYU Langone Medical Center (P30CA016087)
- Canada Research Chairs
- National Institutes of Health (UL1TR000038, TR000038)
- Canadian Institutes of Health Research
- National Heart, Lung, and Blood Institute (R01HL084312, HL-084312, HL098055, P01HL098055, R01HL119047, R01HL108182, T32HL098129)
- National Cancer Institute (P30CA016087)
- National Institute of Allergy and Infectious Diseases (R21AI094166, R01AI093811, R01AI094166, T32AI007180)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
- Keywords
- microRNA-33, macrophage polarization, M2 macrophages, atherosclerosis, aerobic glycolysis, mitochondrial oxidative phosphorylation, AMPK, ALDH1A2, retinoic acid, regulatory T cells, Foxp3, plaque inflammation, hypercholesterolemia, atheroprotection, lipid metabolism
- MeSH terms
- Aldehyde Dehydrogenase 1 Family, Aldehyde Dehydrogenase, Animals, Gene Expression Regulation, Glycolysis, Oxygen Consumption, Macrophages, Peritoneal, Mice, Knockout, MicroRNAs, Atherosclerosis, T-Lymphocytes, Regulatory, Retinal Dehydrogenase, Mice, Forkhead Transcription Factors, AMP-Activated Protein Kinases, Plaque, Atherosclerotic
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