We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Carbon Nanoparticles Activate Platelets

By Biotechdaily staff writers
Posted on 07 Nov 2005
Researchers have found that carbon nanoparticles, regardless of whether precisely manufactured in a laboratory or as a random collection present in polluted air, activate human platelets, thereby promoting blood clotting and the potential for thrombosis.

Investigators at the University of Texas Health Center (Houston, USA; www.uth.edu) prepared a series of precisely engineered carbon nanoparticles: multiple wall (MWNT) and single wall (SWNT) nanotubes, C60 fullerenes (C60CS), and mixed carbon nanoparticles (MCN). More...
These were compared to nanoparticles comprising standard urban particulate matter (SRM1648).

In vitro experiments with human platelets and in vivo studies on rat carotid arteries were performed. Platelet function was studied using lumi-aggregometry, phase-contrast, immunofluorescence, and transmission electron microscopy, flow cytometry, zymography, and pharmacologic inhibitors of platelet aggregation. Vascular thrombosis was induced by ferric chloride, and the rate of thrombosis was measured, in the presence of carbon particles, with an ultrasonic flow probe.

Results published in the September 12, 2005, online edition of the British Journal of Pharmacology revealed that all forms of nanoparticles except for the C60 fullerenes (bucky balls) stimulated platelet aggregation and accelerated the rate of vascular thrombosis in rat carotid arteries. The order of efficacy was MCN > SWNT > MWNT > SRM1648. At the molecular level it was found that for each type of nanoparticle a different biochemical pathway carried out platelet stimulation.

The investigators suggested that drug developers working with nanoparticles might wish to use the bucky ball form to avoid contributing to the risk of atherosclerosis and heart attack. "This research is not a case against nanotechnology,” said senior author Dr. Marek Radomski, professor of integrative biology and pharmacology at the University of Texas Health Center. "It is difficult to overestimate the importance of this amazing technology's ability to transform medicine. But it is good to assess the risk of a new technology in advance. This is a case for moving ahead in a cautious and informed way.”


New
Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
New
Gold Member
Automatic Hematology Analyzer
CF9600
New
Total Laboratory Automation Solution
SATLARS Mini T8
New
Hematology Consumables
Bioblood Devices
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image

Urine-Based Multi-Cancer Screening Test Receives FDA Breakthrough Device Designation

Early detection across multiple cancers remains a major unmet need in population screening. Non-invasive approaches that can be delivered at scale may broaden access and shift diagnoses to earlier stages.... Read more

Molecular Diagnostics

view channel
Image: The new approach focuses on CpG DNA methylation, a chemical modification of cytosine and guanine bases, using tumor samples to develop a computational model that distinguishes among 21 cancer types (photo credet: 123RF)

Machine Learning Model Uses DNA Methylation to Predict Tumor Origin in Cancers of Unknown Primary

Cancers of unknown primary (CUP) are metastatic malignancies in which the primary site cannot be identified, complicating treatment selection. Many patients consequently receive broad, nonspecific chemotherapy... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.