Cited by 75RNA Interference and Gene DeliveryMicroRNA in disease regulationAtherosclerosis and Cardiovascular Diseases

Targeted Suppression of miRNA-33 Using pHLIP Improves Atherosclerosis Regression

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Zhang, Xinbo, Rotllan, Noemi, Canfrán-Duque, Alberto, Sun, Jonathan, Toczek, Jakub, Moshnikova, Anna, Malik, Shipra, Price, Nathan L. +8 more·2022·Circulation Research

Abstract

Background: miRNA therapeutics have gained attention during the past decade. These oligonucleotide treatments can modulate the expression of miRNAs in vivo and could be used to correct the imbalance of gene expression found in human diseases such as obesity, metabolic syndrome, and atherosclerosis. The in vivo efficacy of current anti-miRNA technologies hindered by physiological and cellular barriers to delivery into targeted cells and the nature of miRNAs that allows one to target an entire pathway that may lead to deleterious off-target effects. For these reasons, novel targeted delivery systems to inhibit miRNAs in specific tissues will be important for developing effective therapeutic strategies for numerous diseases including atherosclerosis. Methods: We used pH low-insertion peptide (pHLIP) constructs as vehicles to deliver microRNA-33-5p (miR-33) antisense oligonucleotides to atherosclerotic plaques. Immunohistochemistry and histology analysis was performed to assess the efficacy of miR-33 silencing in atherosclerotic lesions. We also assessed how miR-33 inhibition affects gene expression in monocytes/macrophages by single-cell RNA transcriptomics. Results: The anti-miR-33 conjugated pHLIP constructs are preferentially delivered to atherosclerotic plaque macrophages. The inhibition of miR-33 using pHLIP-directed macrophage targeting improves atherosclerosis regression by increasing collagen content and decreased lipid accumulation within vascular lesions. Single-cell RNA sequencing analysis revealed higher expression of fibrotic genes ( Col2a1, Col3a1, Col1a2, Fn1 , etc) and tissue inhibitor of metalloproteinase 3 ( Timp3 ) and downregulation of Mmp12 in macrophages from atherosclerotic lesions targeted by pHLIP-anti-miR-33. Conclusions: This study provides proof of principle for the application of pHLIP for treating advanced atherosclerosis via pharmacological inhibition of miR-33 in macrophages that avoid the deleterious effects in other metabolic tissues. This may open new therapeutic opportunities for atherosclerosis-associated cardiovascular diseases via selective delivery of other protective miRNAs.

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  1. [1]Tabas I, Bornfeldt KE. Macrophage phenotype and function in different stages of atherosclerosis. Circ Res. 2016; 118: 653– 667 26892964 PMC4762068
  2. [2]Levin M, Leppanen O, Evaldsson M, Wiklund O, Bondjers G, Bjornheden T. Mapping of atp, glucose, glycogen, and lactate concentrations within the arterial wall. Arterioscler Thromb Vasc Biol. 2003; 23: 1801– 1807 12947013
  3. [3]Parathath S, Mick SL, Feig JE, Joaquin V, Grauer L, Habiel DM, Gassmann M, Gardner LB, Fisher EA. Hypoxia is present in murine atherosclerotic plaques and has multiple adverse effects on macrophage lipid metabolism. Circ Res. 2011; 109: 1141– 1152 21921268 PMC3208906
  4. [4]Silvola JM, Saraste A, Forsback S, Laine VJ, Saukko P, Heinonen SE, Yla-Herttuala S, Roivainen A, Knuuti J. Detection of hypoxia by [18f]ef5 in atherosclerotic plaques in mice. Arterioscler Thromb Vasc Biol. 2011; 31: 1011– 1015 21372297
  5. [5]van der Valk FM, Sluimer JC, Voo SA, Verberne HJ, Nederveen AJ, Windhorst AD, Stroes ES, Lambin P, Daemen MJ. In vivo imaging of hypoxia in atherosclerotic plaques in humans. JACC Cardiovasc Imaging. 2015; 8: 1340– 1341 25981502
  6. [6]Sluimer JC, Gasc JM, van Wanroij JL, Kisters N, Groeneweg M, Sollewijn Gelpke MD, Cleutjens JP, van den Akker LH, Corvol P, Wouters BG, Daemen MJ, Bijnens AP. Hypoxia, hypoxia-inducible transcription factor, and macrophages in human atherosclerotic plaques are correlated with intraplaque angiogenesis. J Am Coll Cardiol. 2008; 51: 1258– 1265 18371555
  7. [7]Khan T, Soller B, Naghavi M, Casscells W. Tissue ph determination for the detection of metabolically active, inflamed vulnerable plaques using near-infrared spectroscopy: An in-vitro feasibility study. Cardiology. 2005; 103: 10– 16 15528895
  8. [8]Naghavi M, John R, Naguib S, Siadaty MS, Grasu R, Kurian KC, van Winkle WB, Soller B, Litovsky S, Madjid M, Willerson JT, Casscells W. Ph heterogeneity of human and rabbit atherosclerotic plaques; a new insight into detection of vulnerable plaque. Atherosclerosis. 2002; 164: 27– 35 12119190
  9. [9]Lee-Rueckert M, Lappalainen J, Leinonen H, Pihlajamaa T, Jauhiainen M, Kovanen PT. Acidic extracellular environments strongly impair abca1-mediated cholesterol efflux from human macrophage foam cells. Arterioscler Thromb Vasc Biol. 2010; 30: 1766– 1772 20702810
  10. [10]Horie T, Ono K, Horiguchi M, Nishi H, Nakamura T, Nagao K, Kinoshita M, Kuwabara Y, Marusawa H, Iwanaga Y, Hasegawa K, Yokode M, Kimura T, Kita T. Microrna-33 encoded by an intron of sterol regulatory element-binding protein 2 (srebp2) regulates hdl in vivo. Proc Natl Acad Sci U S A. 2010; 107: 17321– 17326 20855588 PMC2951399
  11. [11]Marquart TJ, Allen RM, Ory DS, Baldan A. Mir-33 links srebp-2 induction to repression of sterol transporters. Proc Natl Acad Sci U S A. 2010; 107: 12228– 12232 20566875 PMC2901433
  12. [12]Price NL, Rotllan N, Canfran-Duque A, Zhang X, Pati P, Arias N, Moen J, Mayr M, Ford DA, Baldan A, Suarez Y, Fernandez-Hernando C. Genetic dissection of the impact of mir-33a and mir-33b during the progression of atherosclerosis. Cell Rep. 2017; 21: 1317– 1330 29091769 PMC5687841
  13. [14]Rayner KJ, Esau CC, Hussain FN, McDaniel AL, Marshall SM, van Gils JM, Ray TD, Sheedy FJ, Goedeke L, Liu X, Khatsenko OG, Kaimal V, Lees CJ, Fernandez-Hernando C, Fisher EA, Temel RE, Moore KJ. Inhibition of mir-33a/b in non-human primates raises plasma hdl and lowers vldl triglycerides. Nature. 2011; 478: 404– 407 22012398 PMC3235584
  14. [15]Rayner KJ, Suarez Y, Davalos A, Parathath S, Fitzgerald ML, Tamehiro N, Fisher EA, Moore KJ, Fernandez-Hernando C. Mir-33 contributes to the regulation of cholesterol homeostasis. Science. 2010; 328: 1570– 1573 20466885 PMC3114628
  15. [16]Rotllan N, Ramirez CM, Aryal B, Esau CC, Fernandez-Hernando C. Therapeutic silencing of microrna-33 inhibits the progression of atherosclerosis in ldlr−/− mice--brief report. Arterioscler Thromb Vasc Biol. 2013; 33: 1973– 1977 23702658 PMC4157595
  16. [17]Horie T, Baba O, Kuwabara Y, Chujo Y, Watanabe S, Kinoshita M, Horiguchi M, Nakamura T, Chonabayashi K, Hishizawa M, Hasegawa K, Kume N, Yokode M, Kita T, Kimura T, Ono K. Microrna-33 deficiency reduces the progression of atherosclerotic plaque in apoe−/− mice. J Am Heart Assoc. 2012; 1:e003376 PMC3540673 23316322
  17. [18]Price NL, Rotllan N, Zhang X, Canfran-Duque A, Nottoli T, Suarez Y, Fernandez-Hernando C. Specific disruption of abca1 targeting largely mimics the effects of mir-33 knockout on macrophage cholesterol efflux and atherosclerotic plaque development. Circ Res. 2019; 124: 874– 880 30707082 PMC6417928
  18. [21]Christensen L, Fitzpatrick R, Gildea B, Petersen KH, Hansen HF, Koch T, Egholm M, Buchardt O, Nielsen PE, Coull J, Berg RH. Solid-phase synthesis of peptide nucleic acids. J Pept Sci. 1995; 1: 175– 183 9222994
  19. [22]Malik S, Lim J, Slack FJ, Braddock DT, Bahal R. Next generation mirna inhibition using short anti-seed pnas encapsulated in plga nanoparticles. J Control Release. 2020; 327: 406– 419 32835710 PMC7606596
  20. [23]Andreev OA, Dupuy AD, Segala M, Sandugu S, Serra DA, Chichester CO, Engelman DM, Reshetnyak YK. Mechanism and uses of a membrane peptide that targets tumors and other acidic tissues in vivo. Proc Natl Acad Sci U S A. 2007; 104: 7893– 7898 17483464 PMC1861852
  21. [24]Price NL, Miguel V, Ding W, Singh AK, Malik S, Rotllan N, Moshnikova A, Toczek J, Zeiss C, Sadeghi MM, Arias N, Baldan A, Andreev OA, Rodriguez-Puyol D, Bahal R, Reshetnyak YK, Suarez Y, Fernandez-Hernando C, Lamas S. Genetic deficiency or pharmacological inhibition of mir-33 protects from kidney fibrosis. JCI Insight. 2019; 4 PMC6948871 31613798
  22. [25]Ramirez CM, Zhang X, Bandyopadhyay C, Rotllan N, Sugiyama MG, Aryal B, Liu X, He S, Kraehling JR, Ulrich V, Lin CS, Velazquez H, Lasuncion MA, Li G, Suarez Y, Tellides G, Swirski FK, Lee WL, Schwartz MA, Sessa WC, Fernandez-Hernando C. Caveolin-1 regulates atherogenesis by attenuating low-density lipoprotein transcytosis and vascular inflammation independently of endothelial nitric oxide synthase activation. Circulation. 2019; 140: 225– 239 31154825 PMC6778687
  23. [28]Das R, Ganapathy S, Mahabeleshwar GH, Drumm C, Febbraio M, Jain MK, Plow EF. Macrophage gene expression and foam cell formation are regulated by plasminogen. Circulation. 2013; 127: 1209– 1218, e1201–1216 23401155 PMC3638243
  24. [29]Zhang X, Zhu X, Chen B. Inhibition of collar-induced carotid atherosclerosis by recombinant apoa-i cysteine mutants in apoe-deficient mice. J Lipid Res. 2010; 51: 3434– 3442 20817832 PMC2975715
  25. [30]Ouchi N, Kihara S, Arita Y, Nishida M, Matsuyama A, Okamoto Y, Ishigami M, Kuriyama H, Kishida K, Nishizawa H, Hotta K, Muraguchi M, Ohmoto Y, Yamashita S, Funahashi T, Matsuzawa Y. Adipocyte-derived plasma protein, adiponectin, suppresses lipid accumulation and class a scavenger receptor expression in human monocyte-derived macrophages. Circulation. 2001; 103: 1057– 1063 11222466
  26. [32]Cheng CJ, Bahal R, Babar IA, Pincus Z, Barrera F, Liu C, Svoronos A, Braddock DT, Glazer PM, Engelman DM, Saltzman WM, Slack FJ. Microrna silencing for cancer therapy targeted to the tumour microenvironment. Nature. 2015; 518: 107– 110 25409146 PMC4367962
  27. [33]Sahraei M, Chaube B, Liu Y, Sun J, Kaplan A, Price NL, Ding W, Oyaghire S, Garcia-Milian R, Mehta S, Reshetnyak YK, Bahal R, Fiorina P, Glazer PM, Rimm DL, Fernandez-Hernando C, Suarez Y. Suppressing mir-21 activity in tumor-associated macrophages promotes an antitumor immune response. J Clin Invest. 2019; 129: 5518– 5536 31710308 PMC6877327
  28. [34]Burke AC, Huff MW. Regression of atherosclerosis: Lessons learned from genetically modified mouse models. Curr Opin Lipidol. 2018; 29: 87– 94 29369832
  29. [35]Distel E, Barrett TJ, Chung K, Girgis NM, Parathath S, Essau CC, Murphy AJ, Moore KJ, Fisher EA. Mir33 inhibition overcomes deleterious effects of diabetes mellitus on atherosclerosis plaque regression in mice. Circ Res. 2014; 115: 759– 769 25201910 PMC4194153
  30. [36]Lin JD, Nishi H, Poles J, Niu X, McCauley C, Rahman K, Brown EJ, Yeung ST, Vozhilla N, Weinstock A, Ramsey SA, Fisher EA, Loke P. Single-cell analysis of fate-mapped macrophages reveals heterogeneity, including stem-like properties, during atherosclerosis progression and regression. JCI Insight. 2019; 4 PMC6478411 30830865
  31. [38]Nakao T, Horie T, Baba O, Nishiga M, Nishino T, Izuhara M, Kuwabara Y, Nishi H, Usami S, Nakazeki F, Ide Y, Koyama S, Kimura M, Sowa N, Ohno S, Aoki H, Hasegawa K, Sakamoto K, Minatoya K, Kimura T, Ono K. Genetic ablation of microrna-33 attenuates inflammation and abdominal aortic aneurysm formation via several anti-inflammatory pathways. Arterioscler Thromb Vasc Biol. 2017; 37: 2161– 2170 28882868
  32. [41]Gratchev A, Guillot P, Hakiy N, Politz O, Orfanos CE, Schledzewski K, Goerdt S. Alternatively activated macrophages differentially express fibronectin and its splice variants and the extracellular matrix protein betaig-h3. Scand J Immunol. 2001; 53: 386– 392 11285119
  33. [42]Bourlier V, Zakaroff-Girard A, Miranville A, De Barros S, Maumus M, Sengenes C, Galitzky J, Lafontan M, Karpe F, Frayn KN, Bouloumie A. Remodeling phenotype of human subcutaneous adipose tissue macrophages. Circulation. 2008; 117: 806– 815 18227385
  34. [43]Hourigan ST, Solly EL, Nankivell VA, Ridiandries A, Weimann BM, Henriquez R, Tepper ER, Zhang JQJ, Tsatralis T, Clayton ZE, Vanags LZ, Robertson S, Nicholls SJ, Ng MKC, Bursill CA, Tan JTM. The regulation of mirnas by reconstituted high-density lipoproteins in diabetes-impaired angiogenesis. Sci Rep. 2018; 8: 13596 30206364 PMC6133943
  35. [44]Nguyen MA, Wyatt H, Susser L, Geoffrion M, Rasheed A, Duchez AC, Cottee ML, Afolayan E, Farah E, Kahiel Z, Cote M, Gadde S, Rayner KJ. Delivery of micrornas by chitosan nanoparticles to functionally alter macrophage cholesterol efflux in vitro and in vivo. ACS Nano. 2019; 13: 6491– 6505 31125197
  36. [45]Yung BC, Li J, Zhang M, Cheng X, Li H, Yung EM, Kang C, Cosby LE, Liu Y, Teng L, Lee RJ. Lipid nanoparticles composed of quaternary amine-tertiary amine cationic lipid combination (qtsome) for therapeutic delivery of antimir-21 for lung cancer. Mol Pharm. 2016; 13: 653– 662 26741162

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Authors
Zhang, X., Rotllan, N., Canfrán-Duque, A., Sun, J., Toczek, J., Moshnikova, A., Malik, S., Price, N. L., Araldi, E., Zhong, W., Sadeghi, M. M., Andreev, O. A., Bahal, R., Reshetnyak, Y. K., Suárez, Y., & Fernández-Hernando, C.
Affiliations
  • Yale University (US)
  • Vascular Biology and Therapeutics Program (X.Z., N.R., A.C.-D., J.S., J.T., N.L.P., E.A., W.Z., M.M.S., Y.S., C.F.-H.), Yale University School of Medicine, New Haven, CT.
  • University of Rhode Island (US)
  • University of Connecticut (US)
Venue
Circulation Research
Published
2022-06-24
Volume
131
Issue
1
Pages
77-90
ISSN
  • 0009-7330 (ISSN-L)
  • 1524-4571
OpenAlex
W4229458511
Cited by
75
References
10
Citations by year
2026: 13 · 2025: 20 · 2024: 19 · 2023: 18 · 2022: 5
FWCI
5.06
Type
journal article
Language
en
Open access
Locations
  • Circulation Research (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • HAL (submittedVersion)
Funders
  • National Institutes of Health (UL1TR001863)
  • National Heart, Lung, and Blood Institute (R35HL135820, R35HL155988)
  • National Institute of Diabetes and Digestive and Kidney Diseases (K01DK120794)
  • National Center for Advancing Translational Sciences
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
Keywords
pHLIP, pH-responsive peptides, atherosclerosis regression, antisense oligonucleotide delivery, macrophage targeting, atherosclerotic plaque, collagen deposition, fibrosis, TIMP-3, MMP-12, monocytes/macrophages, miRNA-based therapy, targeted drug delivery
MeSH terms
Antagomirs, Humans, Macrophages, MicroRNAs, Atherosclerosis, Plaque, Atherosclerotic

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