Targeting a specific chemokine/receptor axis in atherosclerosis remains challenging. Soluble receptor-based strategies are not established for chemokine receptors due to their discontinuous architecture. Macrophage migration-inhibitory factor (MIF) is an atypical chemokine that promotes atherosclerosis through CXC-motif chemokine receptor-4 (CXCR4). However, CXCR4/CXCL12 interactions also mediate atheroprotection. Here, we show that constrained 31-residue-peptides ('msR4Ms') designed to mimic the CXCR4-binding site to MIF, selectively bind MIF with nanomolar affinity and block MIF/CXCR4 without affecting CXCL12/CXCR4. We identify msR4M-L1, which blocks MIF- but not CXCL12-elicited CXCR4 vascular cell activities. Its potency compares well with established MIF inhibitors, whereas msR4M-L1 does not interfere with cardioprotective MIF/CD74 signaling. In vivo-administered msR4M-L1 enriches in atherosclerotic plaques, blocks arterial leukocyte adhesion, and inhibits atherosclerosis and inflammation in hyperlipidemic Apoe mice in vivo. Finally, msR4M-L1 binds to MIF in plaques from human carotid-endarterectomy specimens. Together, we establish an engineered GPCR-ectodomain-based mimicry principle that differentiates between disease-exacerbating and -protective pathways and chemokine-selectively interferes with atherosclerosis.
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http://dx.doi.org/10.1038/s41467-020-19764-z | DOI Listing |
Histol Histopathol
December 2024
Biodesign Institute and School of Molecular Sciences, Arizona State University, Tempe, Arizona, USA.
Recent advancements in single-cell spatial proteomics have revolutionized our ability to elucidate cellular signaling networks and their implications in health and disease. This review examines these cutting-edge technologies, focusing on mass spectrometry (MS) imaging and multiplexed immunofluorescence (mIF). Such approaches allow high-resolution protein profiling at the single-cell level, revealing intricate cellular heterogeneity, spatial organization, and protein functions within their native cellular contexts.
View Article and Find Full Text PDFPsychopharmacol Bull
January 2025
Oslin, MD, Veterans Integrated Service Network 4, Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center and Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Background: Immunologic measures have been studied as predictors of who will respond to standard antidepressants. Two previous, small studies of pretreatment leukocyte mRNA expression levels of the cytokines macrophage migration inhibitory factor (MIF) and interleukin 1-beta (IL1-β) identified antidepressant treatment responders.
Methods: We tested these findings in 1,299 patients from the PRIME Care study, a multi-center pharmacogenetic depression treatment trial.
Front Immunol
December 2024
Molecular Pathology & Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.
Background: Studies have shown that tumor cell amino acid metabolism is closely associated with lung adenocarcinoma (LUAD) development and progression. However, the comprehensive multi-omics features and clinical impact of the expression of genes associated with amino acid metabolism in the LUAD tumor microenvironment (TME) are yet to be fully understood.
Methods: LUAD patients from The Cancer Genome Atlas (TCGA) database were enrolled in the training cohort.
Curr Issues Mol Biol
November 2024
Department of Anatomy and Neurosciences, School of Medicine, Eulji University, Daejeon 34824, Republic of Korea.
Ischemic stroke is a leading contributor to death and disability worldwide, driving extensive research into pharmacological treatments beyond thrombolysis. Macrophage migration inhibitory factor (MIF), a cytokine, is implicated in several pathological conditions. In this study, we examined the effects of MIF on autophagy in astrocytes under the condition of chemical hypoxia.
View Article and Find Full Text PDFAntibodies (Basel)
December 2024
OncoOne Research & Development GmbH, Karl-Farkas-Gasse 22, A-1030 Vienna, Austria.
Background: Rigorous assessment of antibody developability is crucial for optimizing lead candidates before progressing to clinical studies. Recent advances in predictive tools for protein structures, surface properties, stability, and immunogenicity have streamlined the development of new biologics. However, accurate prediction of the impact of single amino acid substitutions on antibody structures remains challenging, due to the diversity of complementarity-determining regions (CDRs), particularly CDR3s.
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