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

QIAGEN

Qiagen is a provider of sample and assay technologies for molecular diagnostics and applied testing, including comple... read more Featured Products: More products

Download Mobile App




Novel Blood Tests Predict Progression of Parkinson's Disease

By LabMedica International staff writers
Posted on 25 Feb 2020
Print article
Image: The V-PLEX Proinflammatory Panel 1 Human Kit measures 10 cytokines that are important in inflammation response and immune system regulation as well as numerous other biological processes (Photo courtesy of Meso Scale Discovery).
Image: The V-PLEX Proinflammatory Panel 1 Human Kit measures 10 cytokines that are important in inflammation response and immune system regulation as well as numerous other biological processes (Photo courtesy of Meso Scale Discovery).
It is well established that the cumulative incidence of dementia associated with Parkinson’s disease (PD) is approaching 80% and individuals with PD are five to six times more likely to develop cognitive impairment than age-matched controls.

The causes for dementia in PD (PDD) are heterogeneous, complex and not fully understood. The development of biological markers that could identify those at highest risk of early cognitive decline would enhance our understanding of disease progression and give valuable insights into the underlying pathophysiological mechanisms.

Scientists at Newcastle University (Newcastle Upon Tyne, UK) and their associates examined the association of blood-derived markers of cell senescence and inflammation with motor and cognitive function over time in an incident PD cohort. Participants (154 newly diagnosed PD patients and 99 controls) underwent physical and cognitive assessments over 36 months of follow up.

The team analyzed whether markers of cellular senescence such as telomere length (TL), p16 and p21 expression, as well as inflammatory markers in blood samples taken close to diagnosis can be predictive of cognitive and motor progression of the disease over the next 36 months. Mean leukocyte TL and the expression of senescence markers p21 and p16 were measured at two time points (baseline and 18 months).

Investigators also selected five inflammatory markers from existing baseline data using Meso Scale Discovery (Rockville, MD, USA) electrochemiluminescent immunoassays, including the V-PLEX human pro-inflammatory panel. For the isolation of DNA, blood samples were collected using EDTA vacutainers (BD Diagnostics, Oxford, UK). For the isolation of RNA, blood samples were collected in PAXgene Blood RNA Tubes (PreAnalytiX, Qiagen, Manchester UK). The collection tubes were stored at –80 °C. The quantification of expression levels of p21 and p16 was performed by RT-qPCR analysis on a 7900HT Fast Real Time PCR system (Applied Biosystems, Foster City, CA, USA).

The team reported that their study demonstrated that PD patients had shorter telomeres at baseline and 18 months later compared to age-matched healthy controls. Those PD patients, who had developed dementia after three years, also had significantly shorter telomeres compared to individuals who were dementia-free at this time. Baseline p16 levels were associated with faster rates of motor and cognitive decline over 36 months, while a simple inflammatory summary score at baseline best predicted cognitive score 36 months later in PD patients. A baseline inflammatory score consisting of five different cytokines gave the best prediction for cognitive scores of PD cases three years later, while lower p16 gene expression predicted a more rapid disease progression over the same period in relation to both cognitive and motor scores.

Roger Barker, MBBS, MRCP, PhD, a Professor of Clinical Neuroscience and a co-author of the study, said, “Being able to reliably predict the clinical path a patient with newly diagnosed PD will follow would greatly help in terms of planning their treatment now and in the way we do trials of disease-modifying interventions in the future. This study provides an example of how this could be done using a simple blood sample.” The study was published on January 13, 2020 in the Journal of Parkinson's Disease.

Related Links:
Newcastle University
Meso Scale Discovery
BD Diagnostics
Qiagen
Applied Biosystems


Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Typhoid Rapid Test
OnSite Typhoid IgG/IgM Combo Rapid Test
New
FOB+Transferrin+Calprotectin+Lactoferrin Test
CerTest FOB+Transferrin+Calprotectin+Lactoferrin Combo 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

Molecular Diagnostics

view channel
Image: The advanced molecular test is designed to improve diagnosis of a genetic form of COPD (Photo courtesy of National Jewish Health)

Groundbreaking Molecular Diagnostic Test Accurately Diagnoses Major Genetic Cause of COPD

Chronic obstructive pulmonary disease (COPD) and Alpha-1 Antitrypsin Deficiency (AATD) are both conditions that can cause breathing difficulties, but they differ in their origins and inheritance.... 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.