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
LGC Clinical Diagnostics

Download Mobile App




Biological Test Could Be a Game-Changer in Parkinson’s Diagnostics

By LabMedica International staff writers
Posted on 14 Apr 2023
Print article
Image: A test can detect build-up of abnormal protein deposits linked to Parkinson’s disease in cerebrospinal fluid (Photo courtesy of Freepik)
Image: A test can detect build-up of abnormal protein deposits linked to Parkinson’s disease in cerebrospinal fluid (Photo courtesy of Freepik)

A method capable of detecting the accumulation of abnormal protein deposits associated with Parkinson's disease in cerebrospinal fluid has been proven to accurately identify patients with the condition, new research reveals. Furthermore, the study indicates that the test can recognize individuals at risk and those exhibiting early, non-motor symptoms before diagnosis. This could eventually facilitate a system for early detection and prevention of debilitating motor symptoms, such as tremors.

Researchers at Penn Medicine (Philadelphia, PA, USA) have confirmed that the α-synuclein seed amplification assay (αSyn-SAA) is extremely precise in detecting Parkinson's disease patients and categorizing them based on genetic and clinical markers. The technique involves amplifying minuscule amounts of misfolded α-synuclein aggregates found in samples from Parkinson's patients to levels detectable through standard laboratory methods. This approach builds upon the pioneering discovery of synuclein protein deposits as a key biological marker of Parkinson's disease by the researchers.

The study analyzed αSyn-SAA results from over 1,100 participants, including individuals with Parkinson's disease, those with genetic or clinical risk factors but not yet diagnosed, and control volunteers. Their cerebrospinal fluid samples were assessed using αSyn-SAA. The comprehensive analysis corroborated earlier, smaller studies that αSyn-SAA yields positive results in 88% of all Parkinson's disease participants, encompassing both sporadic and genetic cases. Over 95% of control volunteers tested negative.

Additionally, some participants had conditions known to precede Parkinson's disease without a formal diagnosis. These include rapid eye movement (REM) sleep behavior disorder and unexplained loss of sense of smell. Among those enrolled in the study for their loss of smell, 89% had positive αSyn-SAA results. Likewise, 85% of REM sleep behavior disorder cases exhibited positive αSyn-SAA outcomes. The test also yielded positive results in certain participants carrying genetic variants linked to Parkinson's disease but without clinical symptoms of the condition.

“This research is a step forward for understanding the different pathologies of Parkinson’s disease,” said corresponding author Andrew Siderowf, MD, a professor of Neurology in the Perelman School of Medicine at the University of Pennsylvania and director of Penn’s Parkinson’s Disease and Movement Disorders Center. “The αSyn-SAA technique is a crucial tool to further our understanding of how Parkinson’s disease develops in patients with and without risk factors. Going forward, we will be able to use the test to connect patients with the most promising clinical trials based on their underlying biology. In the future, tests like αSyn-SAA could likely form the basis for personalized medicine for Parkinson’s disease.”

Related Links:
Penn Medicine

Gold Member
Turnkey Packaging Solution
HLX
Antipsychotic TDM AssaysSaladax Antipsychotic Assays
New
Sulfidoleukotrienes (sLT) Assay
CAST ELISA
New
Serum Toxicology Benzodiazepine Assay
DRI Serum Toxicology Benzodiazepine Assay

Print article

Channels

Clinical Chemistry

view channel
Image: The new saliva-based test for heart failure measures two biomarkers in about 15 minutes (Photo courtesy of Trey Pittman)

POC Saliva Testing Device Predicts Heart Failure in 15 Minutes

Heart failure is a serious condition where the heart muscle is unable to pump sufficient oxygen-rich blood throughout the body. It ranks as a major cause of death globally and is particularly fatal for... Read more

Hematology

view channel
Image: The smartphone technology measures blood hemoglobin levels from a digital photo of the inner eyelid (Photo courtesy of Purdue University)

First-Of-Its-Kind Smartphone Technology Noninvasively Measures Blood Hemoglobin Levels at POC

Blood hemoglobin tests are among the most frequently conducted blood tests, as hemoglobin levels can provide vital insights into various health conditions. However, traditional tests are often underutilized... Read more

Immunology

view channel
Image: Under a microscope, DNA repair is visible as bright green spots (“foci”) in the blue-stained cell DNA. Orange highlights actively growing cancer cells (Photo courtesy of WEHI)

Simple Blood Test Could Detect Drug Resistance in Ovarian Cancer Patients

Every year, hundreds of thousands of women across the world are diagnosed with ovarian and breast cancer. PARP inhibitors (PARPi) therapy has been a major advancement in treating these cancers, particularly... Read more

Microbiology

view channel
Image: HNL Dimer can be a novel and potentially useful clinical tool in antibiotic stewardship in sepsis (Photo courtesy of Shutterstock)

Unique Blood Biomarker Shown to Effectively Monitor Sepsis Treatment

Sepsis remains a growing problem across the world, linked to high rates of mortality and morbidity. Timely and accurate diagnosis, along with effective supportive therapy, is essential in reducing sepsis-related... Read more

Pathology

view channel
Image: The artificial intelligence models can personalize immune therapies in oncology patients (Photo courtesy of 123RF)

AI Tool Identifies Novel Genetic Signatures to Personalize Cancer Therapies

Lung cancer and bladder cancer are among the most commonly diagnosed cancers globally. Researchers have now developed artificial intelligence (AI) models designed to personalize immune therapies for oncology... Read more

Technology

view channel
Image: Schematic diagram of nanomaterial-based anti-epileptic drug concentration diagnostic technology (Photo courtesy of KRISS)

Nanomaterial-Based Diagnostic Technology Accurately Monitors Drug Therapy in Epilepsy Patients

Many patients with epilepsy take anti-epileptic drugs to control frequent seizures in their daily lives. To optimize treatment and avoid side effects from overdosing, it is crucial for patients to regularly... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.