Evidence map›Paper›PMID 37151801›Full record

ArticleNanotheranostics2023

Indocyanine Green-based Glow Nanoparticles Probe for Cancer Imaging.

Neeraj Chauhan, Marco Cabrera, Pallabita Chowdhury, Prashanth K B Nagesh, Anupam Dhasmana, Pranav, Meena Jaggi, Subhash C Chauhan, Murali M Yallapu

Open access · goldAbstract read
In one paragraph

Article in Nanotheranostics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Neeraj ChauhanDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
Marco CabreraDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
Pallabita ChowdhuryDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, Tennessee 38163, United States.
Prashanth K B NageshDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
Anupam DhasmanaDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
PranavDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
Meena JaggiDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
Subhash C ChauhanDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
Murali M YallapuDepartment of Immunology and Microbiology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX 78504, United States.
The University of Texas Rio Grande Valley · USUniversity of Tennessee Health Science Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Development of Targeted Nanotechnology Platform for Pancreatic CancerR01CA206069 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
Targeted Nanotherapy for Pancreatic CancerR01CA210192 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7M
miR-205 Nanoparticle system circumvents docetaxel resistance in prostate cancerSC1GM139727 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI YALLAPU, MURALI MOHAN · 2021 to 2024
$1.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA206069NCI NIH HHS R01 CA210192NIGMS NIH HHS SC1 GM139727
6 · The paper itself

Abstract

Indocyanine green (ICG) is one of the FDA-approved near infra-red fluorescent (NIRF) probes for cancer imaging and image-guided surgery in the clinical setting. However, the limitations of ICG include poor photostability, high concentration toxicity, short circulation time, and poor cancer cell specificity. To overcome these hurdles, we engineered a nanoconstruct composed of poly (vinyl pyrrolidone) (PVP)-indocyanine green that is cloaked self-assembled with tannic acid (termed as indocyanine green-based glow nanoparticles probe, ICG-Glow NPs) for the cancer cell/tissue-specific targeting. The self-assembled ICG-Glow NPs were confirmed by spherical nanoparticles formation (DLS and TEM) and spectral analyses. The NIRF imaging characteristic of ICG-Glow NPs was established by superior fluorescence counts on filter paper and chicken tissue. The ICG-Glow NPs exhibited excellent hemo and cellular compatibility with human red blood cells, kidney normal, pancreatic normal, and other cancer cell lines. An enhanced cancer-specific NIRF binding and imaging capability of ICG-Glow NPs was confirmed using different human cancer cell lines and human tumor tissues. Additionally, tumor-specific binding/accumulation of ICG-Glow NPs was confirmed in MDA-MB-231 xenograft mouse model. Collectively, these findings suggest that ICG-Glow NPs have great potential as a novel and safe NIRF imaging probe for cancer cell/tumor imaging. This can lead to a quicker cancer diagnosis facilitating precise disease detection and management.

Indexed as

NeoplasmsAnimalsCell LineFemaleHumansIndocyanine GreenMiceNanoparticlesIndocyanine Greendeep tissue bioimagingindocyanine greennanoparticle probesnanoparticlesnear infra-red fluorescent cancer imaging

Identifiers

PMID37151801
PMCPMC10161388
OpenAlexW4365397566

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.