Evidence map›Paper›PMID 38095676›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

Adhesion molecule-targeted magnetic particle imaging nanoprobe for visualization of inflammation in acute lung injury.

Pengli Gao, Yu Liu, Xiaoli Wang, Xin Feng, Heng Liu, Songlu Liu, Xiazi Huang, Xiangjun Wu, Fei Xiong, Xiaohua Jia and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. 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
4.9field-weighted citation impact, top 4% 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, 19 citations in OpenAlex.

  1. Dual-tracer PET/CT with [European journal of nuclear medicine and molecular imaging · 2026
    Trial
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  9. Molecular imaging: The bridge from human phenome to personalized precision medicine.European journal of nuclear medicine and molecular imaging · 2025
    Article
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  11. Review
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

13 authors at 4 institutions in 1 country.

Pengli Gao *School of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China.
Yu Liu *School of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China.
Xiaoli WangSchool of Medical Imaging, Weifang Medical University, Weifang, 261053, China.
Xin FengCAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Heng LiuDepartment of Radiology, PLA Rocket Force Characteristic Medical Center, No. 16 Xinjiekou Outer Street, Beijing, 100088, China.
Songlu LiuCAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xiazi HuangCAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xiangjun WuSchool of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China.
Fei XiongSchool of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China.
Xiaohua JiaCAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Hui HuiCAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. hui.hui@ia.ac.cn.
Jingying JiangKey Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China. jingyingjiang@buaa.edu.cn.
Jie TianKey Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China. jie.tian@ia.ac.cn.ORCID 0000-0003-0498-0432
Chinese Academy of Sciences · CNBeihang University · CNShandong Institute of Automation · CNWeifang Medical University · CN

Funding

National Natural Science Foundation of China 62027901National Natural Science Foundation of China 81227901National Natural Science Foundation of China 81827808National Natural Science Foundation of China 81930053National Natural Science Foundation of China 81971662National Natural Science Foundation of China 82302407Natural Science Foundation of Beijing Municipality 7202105Natural Science Foundation of Beijing Municipality JQ22023Youth Innovation Promotion Association of the Chinese Academy of Sciences Y2022055
6 · The paper itself

Abstract

purposeUncontrolled intra-alveolar inflammation is a central pathogenic feature, and its severity translates into a valid prognostic indicator of acute lung injury (ALI). Unfortunately, current clinical imaging approaches are unsuitable for visualizing and quantifying intra-alveolar inflammation. This study aimed to construct a small-sized vascular cell adhesion molecule-1 (VCAM-1)-targeted magnetic particle imaging (MPI) nanoprobe (ESPVPN) to visualize and accurately quantify intra-alveolar inflammation at the molecular level.

methodsESPVPN was engineered by conjugating a peptide (VHPKQHRGGSK(Cy7)GC) onto a polydopamine-functionalized superparamagnetic iron oxide core. The MPI performance, targeting, and biosafety of the ESPVPN were characterized. VCAM-1 expression in HUVECs and mouse models was evaluated by western blot. The degree of inflammation and distribution of VCAM-1 in the lungs were assessed using histopathology. The expression of pro-inflammatory markers and VCAM-1 in lung tissue lysates was measured using ELISA. After intravenous administration of ESPVPN, MPI and CT imaging were used to analyze the distribution of ESPVPN in the lungs of the LPS-induced ALI models.

resultsThe small-sized (~10 nm) ESPVPN exhibited superior MPI performance compared to commercial MagImaging

conclusionESPVPN effectively targeted inflammatory lungs and combined the advantages of MPI quantitative imaging to visualize and evaluate the degree of ALI inflammation.

Indexed as

Acute Lung InjuryPneumoniaAnimalsInflammationLipopolysaccharidesLungMagnetic PhenomenaMiceVascular Cell Adhesion Molecule-1LipopolysaccharidesVascular Cell Adhesion Molecule-1Acute lung injuryInflammationMagnetic particle imagingVascular cell adhesion molecule-1

Identifiers

PMID38095676
OpenAlexW4389737645

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.