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.

LabMedica

Download Mobile App
Recent News Expo Medica 2024 Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Urinary Method Detects Toxin Exposure from Harmful Algal Blooms

By LabMedica International staff writers
Posted on 29 Jan 2020
During harmful algal blooms (HABs), species of cyanobacteria release toxic peptides, including microcystins and nodularin into waterways, impacting wildlife and humans living in these marine environments.

Human exposure comes from ingestion, direct skin contact, or inhalation and can lead to a variety of symptoms ranging from gastroenteritis, nausea, allergic reactions and skin rashes to hepatic injury and hemorrhage in more severe cases. Microcystins also have been linked to tumor progression and are harmful to renal, immune and reproductive systems.

Image: The Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometer (Photo courtesy of Thermo Fisher Scientific).
Image: The Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometer (Photo courtesy of Thermo Fisher Scientific).

A group of scientists led by the Centers for Disease Control and Prevention (CDC, Atlanta, GA, USA) tested a newly developed immunocapture protein phosphatase inhibition assay (IC-PPIA) method for detection of microcystins and nodularin in human urine. This method uses a commercially available antibody to specifically isolate microcystins and nodularine from human urine prior to measurement. Urines from the Florida residents were self-collected by participants into sterile collection cups and stored at −80 °C until shipment to the Florida Atlantic University laboratory (Ft. Pierce, FL, USA).

The team used the Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) to measure peak areas from the samples. The highly toxic MC congener microcystin-LR was resolved on an Agilent 1290 liquid chromatograph (Agilent Technologies, Santa Clara, CA, USA) using an Acquity UPLC BEH C18 column (Waters, Milford, MA, USA). A Protein Phosphatase Inhibition Assay was performed and the absorbance was read at 405 nm on a Powerwave HT microplate spectrophotometer (BioTek, Winooski, VT, USA).

The scientists demonstrated that the IC-PPIA method developed by the CDC was able to detect low-dose human exposures to microcystins by analysis of urine from three of the 86 urine specimens analyzed by this new method, which yielded positive results with concentrations of 0.055, 0.089 and 0.052 ng/mL MC-LR equivalents. These findings are the first to report microcystin concentrations directly from exposed residents impacted by cyanobacteria in Florida.

The authors concluded that they had described the development and application of an IC-PPIA for detection of nearly all microcystins (MCs) and nodularin (NOD) in human urine. Ten-fold sample concentration in this method makes it sensitive enough to detect even low-level human inhalation exposures to MCs and NOD. This method could complement water monitoring programs by identifying human exposures to MCs and NOD at the time of HABs and may assist in elucidating health effects associated with these toxins in the future. The study was published on December 19, 2019 in the journal Toxins.

Related Links:
Centers for Disease Control and Prevention
Florida Atlantic University
Thermo Fisher Scientific
Agilent Technologies
BioTek
Waters



Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Automated Blood Typing System
IH-500 NEXT
New
PSA Test
Human Semen Rapid Test
New
Gold Member
Syphilis Screening Test
VDRL Antigen MR

Latest Clinical Chem. News

POC Saliva Testing Device Predicts Heart Failure in 15 Minutes

Screening Tool Detects Multiple Health Conditions from Single Blood Drop

Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability