Evidence map›Paper›PMID 26069858›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2015

In vivo inflammation imaging using a CB2R-targeted near infrared fluorescent probe.

Shaojuan Zhang, Pin Shao, Xiaoxi Ling, Ling Yang, Weizhou Hou, Steve H Thorne, Wissam Beaino, Carolyn J Anderson, Ying Ding, Mingfeng Bai

Open access · greenAbstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Rational Design, Synthesis, and Evaluation of Fluorescent CBPharmaceuticals (Basel, Switzerland) · 2023
    Review
  4. Review
  5. 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

10 authors at 2 institutions in 1 country.

Shaojuan ZhangMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA.
Pin ShaoMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA.
Xiaoxi LingMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA.
Ling YangMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA ; Department of Cellular and Genetic Medicine, School of Basic Medical Sciences, Fudan University Shanghai, 200032, China.
Weizhou HouDivision of Surgical Oncology and Department of Immunology, University of Pittsburgh Cancer Institute Pittsburgh, PA 15213, USA.
Steve H ThorneDivision of Surgical Oncology and Department of Immunology, University of Pittsburgh Cancer Institute Pittsburgh, PA 15213, USA.
Wissam BeainoMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA.
Carolyn J AndersonMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA ; Department of Bioengineering, University of Pittsburgh Pittsburgh, PA 15261, USA ; University of Pittsburgh Cancer Institute Pittsburgh, PA 15232, USA.
Ying DingDepartment of Biostatistics, University of Pittsburgh Pittsburgh, PA 15261, USA.
Mingfeng BaiMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh Pittsburgh, PA 15219, USA ; Department of Bioengineering, University of Pittsburgh Pittsburgh, PA 15261, USA ; University of Pittsburgh Cancer Institute Pittsburgh, PA 15232, USA.
University of Pittsburgh · USUPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

Chronic inflammation is considered as a critical cause of a host of disorders, such as cancer, rheumatoid arthritis, atherosclerosis, and neurodegenerative diseases, although the exact mechanism is yet to be explored. Imaging tools that can specifically target inflammation are therefore important to help reveal the role of inflammation in disease progression, and allows for developing new therapeutic strategies to ultimately improve patient care. The purpose of this study was to develop a new in vivo inflammation imaging approach by targeting the cannabinoid receptor type 2 (CB2R), an emerging inflammation biomarker, using a unique near infrared (NIR) fluorescent probe. Herein, we report the first in vivo CB2R-targeted NIR inflammation imaging study using a synthetic fluorescent probe developed in our laboratory, NIR760-mbc94. In vitro binding assay and fluorescence microscopy study indicate NIR760-mbc94 specifically binds towards CB2R in mouse RAW264.7 macrophage cells. Furthermore, in vivo imaging was performed using a Complete Freund's Adjuvant (CFA)-induced inflammation mouse model. NIR760-mbc94 successfully identified inflamed tissues and the probe uptake was blocked by a CB2R ligand, SR144528. Additionally, immunofluorescence staining in cryosectioned tissues validated the NIR760-mbc94 uptake in inflamed tissues. In conclusion, this study reports the first in vivo CB2R-targeted inflammation imaging using an NIR fluorescent probe. Specific targeting of NIR760-mbc94 has been demonstrated in macrophage cells, as well as a CFA-induced inflammation mouse model. The combined evidence indicates that NIR760-mbc94 is a promising inflammation imaging probe. Moreover, in vivo CB2R-targeted fluorescence imaging may have potential in the study of inflammation-related diseases.

Indexed as

cannabinoid receptorCB2fluorescent probeInflammationnear infraredoptical imaging

Identifiers

PMID26069858
PMCPMC4446393
OpenAlexW1011331955

What OpenQuestion holds

Textmetadata
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.