Literature DB >> 25359878

Folate receptor-β imaging using 99mTc-folate to explore distribution of polarized macrophage populations in human atherosclerotic plaque.

Nynke A Jager1, Johanna Westra2, Reza Golestani3, Gooitzen M van Dam4, Philip S Low5, René A Tio6, Riemer H J A Slart7, Hendrikus H Boersma8, Marc Bijl9, Clark J Zeebregts10.   

Abstract

UNLABELLED: In atherosclerotic plaques, the risk of rupture is increased at sites of macrophage accumulation. Activated macrophages express folate receptor-β (FR-β), which can be targeted by folate coupled to radioactive ligands to visualize vulnerability. The aim of this study was to explore the presence of activated macrophages in human atherosclerotic plaques by (99m)Tc-folate imaging and to evaluate whether this technique can discriminate between an M1-like and M2-like macrophage phenotype.
METHODS: Carotid endarterectomy specimens of 20 patients were incubated with (99m)Tc-folate, imaged using micro-SPECT, and divided into 3-mm slices. The mean accumulation was calculated per slice, and the distribution of M1-like and M2-like macrophages per slice was quantified by immunohistochemical staining for CD86 as well as inducible nitric oxide synthase (iNOS) for M1 and CD163 and FR-β for M2 macrophages. Monocytes from healthy donors were differentiated toward M1-like or M2-like phenotype by in vitro culturing. Messenger RNA levels of specific M1 and M2 markers were measured by reverse-transcription polymerase chain reaction and expression of FR-β, CD86, and CD163 by flow cytometry.
RESULTS: There was a heterogeneous accumulation of (99m)Tc-folate in plaques (median, 2.45 [0.77-6.40] MBq/g). Slices with the highest (99m)Tc-folate accumulation of each plaque showed significantly more expression of FR-β and CD163, compared with slices with the lowest (99m)Tc-folate accumulation, which showed significantly more expression of iNOS. In in vitro polarized macrophages, messenger RNA expression of FR-β, mannose receptor, IL-10, and matrix metalloproteinase-9 was significantly increased in M2-like macrophages, compared with M1-like macrophages. On a receptor level, CD86 was shown to be overexpressed on M1-like macrophages whereas FR-β and CD163 were overexpressed on M2-like macrophages measured by flow cytometry.
CONCLUSION: Higher numbers of M2-like macrophages were present in areas of high (99m)Tc-folate accumulation than areas with low accumulation. It is anticipated that (99m)Tc-folate imaging using SPECT as a marker for M2-like macrophages in atherosclerosis might be a good indicator for plaque vulnerability.
© 2014 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  M2-like macrophages; atherosclerotic plaque; carotid artery; folate receptor-β imaging; vulnerability

Mesh:

Substances:

Year:  2014        PMID: 25359878     DOI: 10.2967/jnumed.114.143180

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  31 in total

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Review 5.  Imaging inflammation and neovascularization in atherosclerosis: clinical and translational molecular and structural imaging targets.

Authors:  Eric A Osborn; Farouc A Jaffer
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Review 6.  Clinical imaging of cardiovascular inflammation.

Authors:  Claudia Calcagno; Zahi A Fayad
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Review 7.  Molecular Imaging in Drug Discovery and Development.

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8.  Imaging inflammation in atherosclerotic plaques: Just make it easy!

Authors:  Fabien Hyafil; Jonathan Vigne
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9.  Optimization of Folate-Targeted Immunotherapy for the Treatment of Experimental Arthritis.

Authors:  Bindu Varghese; Chrystal Paulos; Philip S Low
Journal:  Inflammation       Date:  2016-08       Impact factor: 4.092

Review 10.  Current and Emerging Preclinical Approaches for Imaging-Based Characterization of Atherosclerosis.

Authors:  Jonathan Vigne; James Thackeray; Jeroen Essers; Marcus Makowski; Zoreh Varasteh; Adelina Curaj; Angelos Karlas; Emmanuel Canet-Soulas; Willem Mulder; Fabian Kiessling; Michael Schäfers; René Botnar; Moritz Wildgruber; Fabien Hyafil
Journal:  Mol Imaging Biol       Date:  2018-12       Impact factor: 3.488

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