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 Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Derived Exosomal Protein Biomarkers in Alzheimer’s Disease Diagnosis

By LabMedica International staff writers
Posted on 04 Aug 2016
Image: The ExoQuick preparation method obtains high-quality exosomes from most biofluids using a protocol that can easily be performed on multiple samples and requires very low volumes of input sample (Photo courtesy of System Biosciences).
Image: The ExoQuick preparation method obtains high-quality exosomes from most biofluids using a protocol that can easily be performed on multiple samples and requires very low volumes of input sample (Photo courtesy of System Biosciences).
Alzheimer’s disease results in brain neuronal plaques composed of amyloid beta peptide (Aβ42) and neurofibrillary tangles composed of phosphorylated tau proteins (P-T181-tau and P-S396-tau). Exosomes are shed by brain neurons, freely cross the blood brain barrier and protect and carry proteins from their cellular origin into plasma.

P-T181-tau and P-S396-tau are present at higher than normal concentrations and Aβ42 at lower than normal concentrations in the cerebrospinal fluid of Alzheimer’s disease (AD) patients. These proteins are not high in plasma samples of AD patients in part due to poor blood brain barrier transport and protease activities.

Scientists at Pan Laboratories (Irvine, CA, USA) and their colleagues validated enzyme-linked immunosorbent assays (ELISA) for Aβ42, P-T181-tau and P-S396-tau, and used them to quantify these proteins in neuron-derived exosomal extracts from normal and AD plasma samples. Plasma samples were obtained from patients with mild cognitive impairment (MCI) and dementia due to Alzheimer’s disease (AD), as well as matched normal controls. Exosomes were precipitated from the plasma samples using the ExoQuick preparation (System Biosciences, Palo Alto, CA, USA).

The team reported that ELISA assays for Aβ42, P-T181-tau and P-S396-tau were reproducible and the Inter-assay Coefficient of Variability (CV) was less than 15%. The sensitivity of the biomarker ELISAs varied from 2 to10 pg/mL. Neuron-specific exosomes were prepared from the plasma of normal controls, MCI and AD patients. The reproducibility of the exosome preparations and biomarker levels were monitored in each ELISA. All biomarkers were elevated in MCI patients and AD patients compared to normal.

The authors concluded that they have validated a reproducible procedure to isolate specific neuron-derived exosomes for quantification of specific protein biomarkers in plasma samples. The concentrations of the biomarkers are high in patients with early dementia and Alzheimer’s disease. This procedure may be useful in the early diagnosis of Alzheimer’s disease. The study was presented at the 68th American Association of Clinical Chemistry (AACC) Annual Scientific Meeting held July 31 to August 4, 2016, in Philadelphia, PA, USA.

Related Links:
Pan Laboratories
System Biosciences
American Association of Clinical Chemistry
Gold Member
Aspiration System
VACUSAFE
Online QC Software
Acusera 24•7
Chromogenic Culture System
InTray™ COLOREX™ ECC
New
Automated Coagulation Analyzer
Hemolumi H6

Channels

Molecular Diagnostics

view channel
Image Credit: Shutterstock

Ultrasensitive ctDNA Assay Detects MRD in Breast, Colorectal, Renal Cancers

Minimal residual disease testing is increasingly used to guide adjuvant therapy and surveillance in solid tumors, but detecting very low levels of circulating tumor DNA remains challenging in routine practice.... Read more

Microbiology

view channel
Image: New EMBL-led research identifies a robust gut microbiome signature linked to colorectal cancer, consistent across populations, sequencing methods & age groups, and tied to lower dietary fiber intake. (Photo courtesy of Daniela Velasco/EMBL)

Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer

Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read more
ADLM