Evidence map›Paper›PMID 24672585›Full record

ArticleTheranostics2014

Longitudinal PET imaging of muscular inflammation using 18F-DPA-714 and 18F-Alfatide II and differentiation with tumors.

Chenxi Wu, Xuyi Yue, Lixin Lang, Dale O Kiesewetter, Fang Li, Zhaohui Zhu, Gang Niu, Xiaoyuan Chen

Registry-linked trialOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in Theranostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02582801 (18F-Alfatide Ⅱ PET/CT in the Diagnosis and Treatment Response Evaluation of Breast Cancer Patients), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02582801 phase1terminatednot on this mapstarted 2015, after this paper: background citation

18F-Alfatide Ⅱ PET/CT in the Diagnosis and Treatment Response Evaluation of Breast Cancer Patients

TypeinterventionalSponsorJiang WuRan2015 to 2019Enrolled46ConditionsBreast CancerArms18F-Alfatide Ⅱ PET/CT
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 49 citations in OpenAlex.

  1. Tumor angiogenesis at baseline identified byJournal of translational medicine · 2022
    Trial
  2. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2018
    Trial
  3. Trial
  4. Article
  5. Article
  6. Tracking macrophages by direct and indirectEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  7. uPAR Immuno-PET in Pancreatic Cancer, Aging, and Chemotherapy-Induced Senescence.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  8. Article
  9. Review
  10. Potential of [Pharmaceutics · 2022
    Article
  11. Review
  12. Synthesis and pharmacological evaluation of [RSC medicinal chemistry · 2021
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Chenxi Wu1. Department of Nuclear Medicine, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China. ; 2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, USA.
Xuyi Yue2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, USA.
Lixin Lang2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, USA.
Dale O Kiesewetter2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, USA.
Fang Li1. Department of Nuclear Medicine, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Zhaohui Zhu1. Department of Nuclear Medicine, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Gang Niu2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, USA.
Xiaoyuan Chen2. Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, USA.
National Institutes of Health · US

Funding

Laboratory of Molecular Imaging and NanomedicineZIAEB000073 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI CHEN, XIAOYUAN · 2010 to 2020
$32.8M
Intramural NIH HHS
6 · The paper itself

Abstract

aim(18)F-DPA-714 is a PET tracer that recognizes macrophage translocator protein (TSPO), and (18)F-Alfatide II ((18)F-AlF-NOTA-E[PEG4-c(RGDfk)]2) is specific for integrin αvβ3. This study aims to apply these two tracers for longitudinal PET imaging of muscular inflammation, and evaluate the value of (18)F-DPA-714 in differentiating inflammation from tumor.

methodsRAW264.7 mouse macrophage cells were used for cell uptake analysis of (18)F-DPA-714. A mouse hind limb muscular inflammation model was established by intramuscular injection of turpentine oil. For the inflammation model, PET imaging was performed at different days using (18)F-DPA-714 and (18)F-Alfatide II. The specificity of the imaging probes was tested by co- or pre-injection of PK11195 or unlabeled RGD (Arg-Gly-Asp) peptide. PET imaging using (18)F-DPA-714 was performed in A549, HT29, U87MG, INS-1, and 4T1 xenograft models. Immunofluorescence staining was performed to evaluate infiltrated macrophages and angiogenesis in inflammation and/or tumors.

resultsUptake of (18)F-DPA-714 in RAW264.7 cells was 45.5% at 1 h after incubation, and could be blocked by PK11195. PET imaging showed increased (18)F-DPA-714 and (18)F-Alfatide II uptake at inflammatory muscles. Peak uptake of (18)F-DPA-714 was seen on day 6 (4.02 ± 0.64 %ID/g), and peak uptake of (18)F-Alfatide II was shown on day 12 (1.87 ± 0.35 %ID/g) at 1 h p.i.. Tracer uptakes could be inhibited by PK11195 for (18)F-DPA-714 or cold RGD for (18)F-Alfatide II. Moreover, macrophage depletion with liposomal clodronate also reduced the local accumulation of both tracers. A549, HT29, U87MG, INS-1, and 4T1 tumor uptakes of (18)F-DPA-714 (0.46 ± 0.28, 0.91 ± 0.08, 1.69 ± 0.67, 1.13 ± 0.33, 1.22 ± 0.55 %ID/g at 1 h p.i., respectively) were significantly lower than inflammation uptake (All P < 0.05).

conclusionPET imaging using (18)F-DPA-714 as a TSPO targeting tracer could evaluate the dynamics of macrophage activation and infiltration in different stages of inflammatory diseases. The concomitant longitudinal PET imaging with both (18)F-DPA-714 and (18)F-Alfatide II matched the causal relationship between macrophage infiltration and angiogenesis. Moreover, we found (18)F-DPA-714 uptake in several types of tumors is significantly lower than that in inflammatory muscles, suggesting (18)F-DPA-714 PET has the potential for better differentiation of tumor and non-tumor inflammation.

Indexed as

Fluorine RadioisotopesPeptides, CyclicPyrazolesPyrimidinesAnimalsCell LineDiagnosis, DifferentialDisease Models, AnimalFemaleHumansMacrophagesMiceMuscle NeoplasmsMyositisPositron-Emission TomographyRadiographyalfatide IIFluorine RadioisotopesN,N-diethyl-2-(2-(4-(2-fluoroethoxy)phenyl)-5,7-dimethylpyrazolo(1,5-a)pyrimidin-3-yl)acetamidePeptides, CyclicPyrazolesPyrimidines18F-Alfatide II18F-DPA-714inflammationpositron emission tomographyTSPOtumor

Identifiers

PMID24672585
PMCPMC3966057
OpenAlexW2061461261

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.