Independent education resourceInformation here does not replace care from a qualified health professional.
Peptide Therapy GuideClear peptide education

Educational guide

Researchers Develop Standard of Testing for Alzheimer’s Biomarkers

Paper in Annals of Neurology describes study that coupled beta-amyloid, tau, and APOE4 gene. Scientists from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) report that they have confirmed the role of tau and beta-amyloid as a marker for onset of mild A

Written by Peptide Therapy Guide Editorial Team
For education only

This guide cannot diagnose a condition or recommend a personal treatment plan. Discuss medical questions with a qualified professional.

Paper in Annals of Neurology describes study that coupled beta-amyloid, tau, and APOE4 gene.

Scientists from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) report that they have confirmed the role of tau and beta-amyloid as a marker for onset of mild Alzheimer’s as well as established a method and standard of testing for these biomarkers.

Levels of beta-amyloid protein—specifically beta-amyloid 1-42— were lower among ADNI volunteers with mild cognitive impairment (MCI) compared to those with normal cognition, and lower still among those diagnosed with mild Alzheimer’s disease. The decreased levels of this biomarker in the cerebrospinal fluid may indicate that this least soluble form of amyloid is forming sticky plaques between neurons, a characteristic of Alzheimer’s.

Beta-amyloid 1-42 proved to be the most sensitive biomarker, with an overall test accuracy rate of 87% in detecting Alzheimer’s pathology in the ADNI volunteers and in people with autopsy-confirmed Alzheimer’s.

The team also found that levels of tau were higher among ADNI volunteers with MCI than among people with normal cognition, and even higher among the volunteers diagnosed with mild Alzheimer’s disease.

Additionally, the researchers factored in known genetic risk factor APOE-e4 into their analysis. The gene occurs in about 40% of all people who develop Alzheimer’s at age 65 or later. ADNI volunteers with APOE-e4, high levels of tau, and low levels of amyloid were most likely to have mild Alzheimer’s.

“Research indicates that Alzheimer’s pathology causes changes in the brain some 10 to 20 years before any symptoms appear,” says Richard J. Hodes, M.D., director of NIA, which supports ADNI. “This work gives researchers a systematic and reliable method to measure changes in cerebrospinal fluid biomarkers that may herald the onset of Alzheimer’s disease.”

The researchers collected cerebrospinal fluid from 410 ADNI volunteers at 56 different sites, tested the samples for the tau and beta-amyloid protein biomarkers associated with Alzheimer’s pathology, and then retested the volunteers a year later to track changes in cognition. The investigators also compared the ADNI cerebrospinal fluid samples to those collected from an independent group of 56 people who were later confirmed in autopsy to have had Alzheimer’s and from 52 older people with normal cognition.

The scientists noted that all 37 ADNI volunteers diagnosed with MCI at the start of the study were documented as having probable Alzheimer’s disease a year later. That conversion could be predicted by their cerebrospinal fluid biomarkers, since their baseline profiles were similar to ADNI volunteers already diagnosed with the disease.

Conversely, three ADNI volunteers with MCI at the start of the study, but whose cerebrospinal fluid biomarker levels were similar to volunteers free of the disease, reverted back to normal cognition by the end of the study.

The report appeared in the Annals of Neurology online March 17.

Connected reading

Helpful context for this guide

Source-derived material selected through this article’s indexed topics.

Related questions

01How stable is the antibody?

A crucial question often addressed during preclinical development focuses on the in vivo stability of therapeutic antibodies. Increasing the half-life of a therapeutic antibody has several benefits ranging from higher treatment efficacy to increased advantages for the patients who will have a fewer number of therapy sessions and a reduced cost. Given these compelling benefits, following the identification of therapeutic antibodies with the desired specificity, developers usually subject them to a refinement step to increase their stability. This process is often hindered by the lack of reliable experimental tools to predict the half-life of antibodies in patients. The major hurdle of using mouse models to predict antibody stability in the serum lies in the way immunoglobulin proteins are processed by the organism. In mammals, most proteins circulating in the serum undergo constant uptake by endothelial cells and are routed through the endosomes to the lysosomal compartment for degradation. In the endosomes, immunoglobulin G (IgG) proteins are recognized and bound by a transmembrane protein, called the neonatal Fc receptor (FcRn), which mediates their recycling to the plasma membrane and subsequent release back into the serum. As a result, the half-life of IgGs are significantly extended by this mechanism. Since most therapeutic antibodies belong to the IgG class, this recycling system is very relevant for their relative stability in the body. Remarkably, the relative affinity between IgGs and FcRn is extremely disparate between different species, with the mouse receptor showing a much higher affinity than its human counterpart.

Source: www.genengnews.com ↗
02Undruggable or unscreenable?

Another obstacle to discovering new PPI inhibitors is the lack of libraries designed to hunt for them, points out Philippe Roche, PhD, senior scientist at the Integrative Structural and Chemical Biology team at the Cancer Research Center of Marseilles, France. “If you screen PPIs using libraries that were designed for kinases or GPCRs, that’s why you don’t get a lot of good results,” he says. To that end, his group began assembling a library focused on orthosteric inhibitors of PPIs. The result was 2P2Idb, a hand-curated, structural database cataloguing orthosteric inhibitors of PPIs for which the interface had been 3D characterized. From analyzing these known PPI inhibitors, and what structures they had in common, Roche and his colleagues developed a model to predict whether compounds would likely inhibit PPIs. Using this method, 2P2Idb creates an enriched screening library that dramatically increases the hit rate compared to standard libraries. Having proven their success with a small library of 1600 compounds, they are in the process of expanding the library to 10,000 compounds. Once that’s published, “the idea is to make this library available to labs around the world,” Roche says. “We will provide the library free of charge for people to be able to screen PPI targets.”

Source: www.genengnews.com ↗
P

About the author

Peptide Therapy Guide Editorial Team

Editorial team for Peptide Therapy Guide.

View all articles →