Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 176

The DOI matches its Crossref record.

Molecular Imaging of the Initial Inflammatory Response in Atherosclerosis: Implications for Early Detection of Disease

Open access
Kaufmann, Beat A., Carr, Chad L., Belcik, J. Todd, Xie, Aris, Yue, Qi, Chadderdon, Scott, Caplan, Evan S., Khangura, Jaspreet, Bullens, Sherry, Bunting, Stuart, Lindner, Jonathan R.·2010·Arteriosclerosis, Thrombosis, and Vascular Biology

Abstract

Background— We hypothesized that molecular imaging of endothelial cell adhesion molecule expression could noninvasively evaluate prelesion atherogenic phenotype. Methods and Results— Mice deficient for the LDL-receptor and the Apobec-1 editing peptide (DKO mice) were studied as an age-dependent model of atherosclerosis. At 10, 20, and 40 weeks of age, ultrasound molecular imaging of the proximal thoracic aorta was performed with contrast agents targeted to P-selectin and VCAM-1. Atherosclerotic lesion severity and content were assessed by ultrahigh frequency ultrasound, histology, and immunohistochemistry. In wild-type mice at all ages, there was neither aortic thickening nor targeted tracer signal enhancement. In DKO mice, lesions progressed from sparse mild intimal thickening at 10 weeks to widespread severe lesions with luminal encroachment at 40 weeks. Molecular imaging for P-selectin and VCAM-1 demonstrated selective signal enhancement ( P <0.01 versus nontargeted agent) at all ages for DKO mice. P-selectin and VCAM-1 signal in DKO mice were greater by 3-fold at 10 weeks, 4- to 6-fold at 20 weeks, and 9- to 10-fold at 40 weeks compared to wild-type mice. En face microscopy demonstrated preferential attachment of targeted microbubbles to regions of lesion formation. Conclusions— Noninvasive ultrasound molecular imaging of endothelial activation can detect lesion-prone vascular phenotype before the appearance of obstructive atherosclerotic lesions.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/atvbaha.109.196386

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 176

Metadata

Authors
Kaufmann, B. A., Carr, C. L., Belcik, J. T., Xie, A., Yue, Q., Chadderdon, S., Caplan, E. S., Khangura, J., Bullens, S., Bunting, S., & Lindner, J. R.
Venue
Arteriosclerosis, Thrombosis, and Vascular Biology
Published
2010-01
Volume
30
Issue
1
Pages
54-59
ISSN
  • 1079-5642 (ISSN-L)
  • 1524-4636
OpenAlex
W2116551025
Cited by
176
References
0
FWCI
6.87
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Molecular Imaging of the Initial Inflammatory Response in Atherosclerosis: Implications for Early Detection of Disease. https://app.cochat.ai/papers/10.1161/atvbaha.109.196386
The paper
Kaufmann, B. A., Carr, C. L., Belcik, J. T., Xie, A., Yue, Q., Chadderdon, S., Caplan, E. S., Khangura, J., Bullens, S., Bunting, S., & Lindner, J. R. (2010). Molecular Imaging of the Initial Inflammatory Response in Atherosclerosis: Implications for Early Detection of Disease. Arteriosclerosis, Thrombosis, and Vascular Biology. https://doi.org/10.1161/atvbaha.109.196386

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.