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
INTEGRA BIOSCIENCES AG

Download Mobile App




Breakthrough Kit May Enable Early Alzheimer's Diagnosis

By LabMedica International staff writers
Posted on 02 Oct 2019
Print article
Image: The ImageQuant LAS 4000 biomolecular imager (Photo courtesy of GE Healthcare).
Image: The ImageQuant LAS 4000 biomolecular imager (Photo courtesy of GE Healthcare).
Alzheimer’s disease (AD) is a neurodegenerative disease with the highest incidence and is one of the most common central neurological disorders. According to the World Health Organization (WHO), in 2016, the global number of individuals who lived with dementia was 43.8 million.

High expression of inflammatory mediators has been demonstrated in the area of Aβ peptide deposits and neurofibrillary tangles, especially in patients with AD. Various other studies have demonstrated a significant increase in proinflammatory cytokines and chemokines in the brains of AD patients.

Scientists at the Gyeongsang National University (Jinju, Republic of Korea) developed a WO2002/088706 kit that is composed of fluorescent nanoparticles for the early detection of AD. The kit consists of a probe molecule comprising an oligonucleotide capable of detecting one or more AD-specific microRNAs (miRNAs) and biomarkers related to AD. Through screening, they selected miR-106b, miR-146b, miR-181a, miR-200a, miR-34a, miR-124b, miR-153, miR-155, Aβ1-42 monomer (mAβ), Aβ1–42 oligomer (oAβ), UCHL1, NLRP3, Tau, STAT3, SORL1, Clusterin, APOE3, APOE4, Nogo-A, IL-13, and Visfatin to serve as AD- and inflammation-related markers.

The samples were obtained from the plasma of a female patient in her seventies, and all four patients with known AD were selected by clinical diagnosis. The investigators checked the expression levels of amyloid beta (Aβ), tau protein, and inflammatory mediators in APP/PS/ApoE knockdown (KD) mice and a control group using co-localization analysis conducted with a ImageQuant LAS 4000 confocal biomolecular imager. The team used the plasma from AD patients to confirm that their fluorescent nanoparticles and the WO2002/088706 kit will provide a possible early diagnosis to serve as an AD detector that can be further improved for future studies on targeting AD.

The authors concluded that the physiological response genetically reflects the early stages of inflammation ex vivo before the appearance of a phenotype that does not appear in the early stages of inflammation. If the miRNA and antigens related to AD are selected as biomarkers, the molecular image sensor can be used as part of a useful kit for the early diagnosis of AD. The study was published on September 12, 2019, in the journal Scientific Reports.

Related Links:
Gyeongsang National University

Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Calprotectin Assay
Fecal Calprotectin ELISA
New
Typhoid Rapid Test
OnSite Typhoid IgG/IgM Combo Rapid Test

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.