Evidence map›Paper›PMID 24311191›Full record

ArticleLa Radiologia medica2014

In vivo imaging of T cells loaded with gold nanoparticles: a pilot study.

Hui Li, Laura Diaz, Daniel Lee, Lei Cui, Xin Liang, Yingsheng Cheng

Abstract read
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors at 5 institutions in 2 countries.

Hui LiInstitute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China, lihui1993@gmail.com.
Laura Diaz
Daniel Lee
Lei Cui
Xin Liang
Yingsheng Cheng
Shanghai Jiao Tong University · CNCornell University · USHouston Methodist · USShanghai Sixth People's Hospital · CNUniversity of Shanghai for Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMalignant tumours develop strategies to avoid immune recognition and elimination by T cells, even in individuals with a fully functioning immune system. To explore the treatment approach of adoptive immunotherapy, we exploited T cells loaded with radiolabelled gold nanoparticles (AuNPs) to track T cells in vivo. MATERIALS AND

methodsSurface-modified AuNPs were radiolabelled with (111)In or (64)Cu. They were then transferred into T cells via electroporation. To evaluate the effectiveness of this process, T cells loaded with (111)In-radiolabelled AuNPs were injected directly into the right lung of nude mice for in vivo imaging by micro-SPECT/CT. T cells loaded with (64)Cu-radiolabelled AuNPs were then injected into the tail vein of nude mice and imaged by micro-PET/CT.

resultsHigh uptake signals were observed in the right lung following the direct injection of T cells containing (111)In-labelled AuNPs. Imaging showed a marked difference in the dynamic biodistribution of T cells containing (64)Cu-labelled AuNPs when compared with (64)Cu-labelled AuNPs alone.

conclusionsThis study demonstrated the feasibility of the in vivo imaging of T cells loaded with radiolabelled AuNPs.

Indexed as

T-LymphocytesAnimalsCopper RadioisotopesGoldImmunotherapy, AdoptiveIndium RadioisotopesLiverLungMaleMetal NanoparticlesMiceMice, Inbred BALB CMice, NudePilot ProjectsRandom AllocationSensitivity and SpecificityCopper RadioisotopesGoldIndium Radioisotopes

Identifiers

PMID24311191
OpenAlexW2044158741

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.