Folate Receptor-Targeted Diagnostics and Therapeutics for Inflammatory Diseases
Immune Network
; : 337-343, 2016.
Article
in En
| WPRIM
| ID: wpr-26674
Responsible library:
WPRO
ABSTRACT
Inflammation, an innate immune response mediated by macrophages, forms the first line of defence to protect our body from the invasion of various pathogens. Although inflammation is a defensive response, chronic inflammation has been regarded as the major cause of many types of human diseases such as inflammatory/autoimmune diseases, cancers, neurological diseases, and cardiovascular diseases. Folate receptor (FR) is a cell surface glycosylphosphatidylinositol (GPI)-anchored glycoprotein, and its three isoforms, FR-α, FR-β, and FR-γ, are found in humans. Interestingly, FRs are highly expressed on a variety of cells, including cancer cells and activated macrophages, whereas their expression on normal cells is undetectable, indicating that FR-targeting could be a good selective strategy for the diagnosis and therapeutic treatment of cancers and activated macrophage-mediated inflammatory diseases. Previous studies successfully showed FR-targeted imaging of many types of cancers in animal models as well as human patients. Recently, a number of emerging studies have found that activated macrophages, which are critical players for a variety of inflammatory diseases, highly express FRs, and selective targeting of these FR-positive activated macrophages is a good approach to diagnose and treat inflammatory diseases. In this review, we describe the characteristics and structure of FRs, and further discuss FR-targeted diagnostics and therapeutics of human diseases, in particular, activated macrophage-mediated inflammatory diseases.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Glycoproteins
/
Cardiovascular Diseases
/
Glycosylphosphatidylinositols
/
Protein Isoforms
/
Models, Animal
/
Diagnosis
/
Folic Acid
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Immunity, Innate
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Inflammation
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Macrophages
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Immune Network
Year:
2016
Type:
Article