4.8 Article

Nanodiamond-Gadolinium(III) Aggregates for Tracking Cancer Growth In Vivo at High Field

期刊

NANO LETTERS
卷 16, 期 12, 页码 7551-7564

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.6b03378

关键词

Nanodiamonds; gadolinium; cancer; in vivo; MRI

资金

  1. National Institutes of Health (NIH) Centers of Cancer Nanotechnology Excellence initiative of the National Cancer Institute [U54CA151880]
  2. NIH National Institute of Biomedical Imaging and Bioengineering [R01EB005866]
  3. National Science Foundation [DMR-1105060]
  4. Rosenberg Cancer Foundation
  5. NASA Ames Research Center [NNA04CC36G]
  6. MIUR PRIN [2012SK7ASN]
  7. European Commission [BioMedBridges 284209, pNMR 317127]
  8. EU ESFRI Instruct Core Centre CERM
  9. MRSEC program at the Materials Research Center [NSF DMR-1121262]
  10. NCI CCSG [P30 CA060553]

向作者/读者索取更多资源

The ability to track labeled cancer cells in vivo would allow researchers to study their distribution, growth, and metastatic potential within the intact organism. Magnetic resonance (MR) imaging is invaluable for tracking cancer cells in vivo as it benefits from high spatial resolution and the absence of ionizing radiation. However, many MR contrast agents (CAs) required to label cells either do not significantly accumulate in cells or are not biologically compatible for translational studies. We have developed carbon based nanodiamond-gadolinium(III) aggregates (NDG) for MR imaging that demonstrated remarkable properties for cell tracking in vivo. First, NDG had high relaxivity independent of field strength, a finding unprecedented for gadolinium(III) [Gd(III)]-nanopartide conjugates. Second, NDG demonstrated a 300-fold increase in the cellular delivery of Gd(III) compared to that of clinical Gd(III) chelates without sacrificing biocompatibility. Further, we were able to monitor the tumor growth of NDG-labeled flank tumors by T-1- and T-2-weighted MR imaging for 26 days in vivo, longer than was reported for other MR CAs or nuclear agents. Finally, by utilizing quantitative maps of relaxation times, we were able to describe tumor morphology and heterogeneity (corroborated by histological analysis), which would not be possible with competing molecular imaging modalities.

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