Evidence map›Paper›PMID 28382164›Full record

ArticleTheranostics2017

Visualization of Macrophage Recruitment to Inflammation Lesions using Highly Sensitive and Stable Radionuclide-Embedded Gold Nanoparticles as a Nuclear Bio-Imaging Platform.

Sang Bong Lee, Ho Won Lee, Thoudam Debraj Singh, Yinghua Li, Sang Kyoon Kim, Sung Jin Cho, Sang-Woo Lee, Shin Young Jeong, Byeong-Cheol Ahn, Sangil Choi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  3. Review
  4. Article
  5. Advanced biomedical research · 2023
    Article
  6. Article
  7. Review
  8. Cell Tracking in Cancer Immunotherapy.Frontiers in medicine · 2020
    Review
  9. Review
  10. Review
  11. 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

14 authors at 5 institutions in 2 countries.

Sang Bong LeeDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea;; Leading-edge Research Center for Drug Discovery and Development for Diabetes and Metabolic Disease, Kyungpook National University Hospital, Daegu, South Korea.
Ho Won LeeDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea.
Thoudam Debraj SinghDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea.
Yinghua LiDepartment of Pathology, Chemon Co. Ltd., 240, Nampyeong-Ro, Yangji-Myeon, Cheoin-Gu, Yongin-Si, Gyeonggi-Do, 17162, Republic of Korea.
Sang Kyoon KimLaboratory Animal Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Sung Jin ChoNew Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Sang-Woo LeeDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea;; Leading-edge Research Center for Drug Discovery and Development for Diabetes and Metabolic Disease, Kyungpook National University Hospital, Daegu, South Korea.
Shin Young JeongDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea.
Byeong-Cheol AhnDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea.
Sangil ChoiDepartment of Pharmacy, School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA.
In-Kyu LeeLeading-edge Research Center for Drug Discovery and Development for Diabetes and Metabolic Disease, Kyungpook National University Hospital, Daegu, South Korea;; Department of Internal Medicine, Kyungpook National University School of Medicine, Deagu 700-721, South Korea.
Dong-Kwon LimKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul Anam-ro 145, South Korea.
Jaetae LeeDepartment of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea;; Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Yong Hyun JeonLeading-edge Research Center for Drug Discovery and Development for Diabetes and Metabolic Disease, Kyungpook National University Hospital, Daegu, South Korea;; Laboratory Animal Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea.
Kyungpook National University Hospital · KRDaegu-Gyeongbuk Medical Innovation Foundation · KRKorea University · KRKyungpook National University · KRMCPHS University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable and sensitive imaging tools are required to track macrophage migration and provide a better understating of their biological roles in various diseases. Here, we demonstrate the possibility of radioactive iodide-embedded gold nanoparticles (RIe-AuNPs) as a cell tracker for nuclear medicine imaging. To demonstrate this utility, we monitored macrophage migration to carrageenan-induced sites of acute inflammation in living subjects and visualized the effects of anti-inflammatory agents on this process. Macrophage labeling with RIe-AuNPs did not alter their biological functions such as cell proliferation, phenotype marker expression, or phagocytic activity.

Indexed as

AnimalsAnti-Inflammatory AgentsCarrageenanDexamethasoneDisease Models, AnimalGoldInflammationIodine RadioisotopesMacrophagesMiceNanoparticlesPositron-Emission TomographyTamoxifenAnti-Inflammatory AgentsCarrageenanDexamethasoneGoldGSK5182Iodine RadioisotopesTamoxifenacute inflammation.gold nanoparticlesmacrophage migrationnuclear bio-imaging platform

Identifiers

PMID28382164
PMCPMC5381254
OpenAlexW2592079239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.