A specific and reliable competitive affinity assay kit has been developed to quantitatively measure neural thread protein (NTP) in first morning urine samples. This assay, called the urine neural thread protein test (UNTP), is a competitive enzyme-linked immunosorbent assay (ELISA) format affinity assay using 32-well microtiter plates. The assay detects UNTP in the 10-60 microg/mL range (an improvement over earlier assays of 10(3) x ), is linear and more reproducible (average coefficient of variation [CV] 6.2% in precision studies). The utility of the assay has been demonstrated in urine samples from patients with Alzheimer's disease (AD) and controls (sensitivity of 90% and specificity of 91%). Test-retest assays of subjects with AD and controls were comparatively stable at intervals of 2 days to 4.5 years, which suggests that positive (elevated) or negative (normal) NTP levels do not fluctuate significantly over time with respect to the cutoff.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6649306PMC
http://dx.doi.org/10.1002/jcla.20159DOI Listing

Publication Analysis

Top Keywords

neural thread
12
thread protein
12
alzheimer's disease
8
affinity assay
8
urine samples
8
assay
6
competitive elisa
4
elisa studies
4
studies neural
4
urine
4

Similar Publications

Emerging biophysical techniques for probing synaptic transmission in neurodegenerative disorders.

Neuroscience

November 2024

College of Biomedical and Health Sciences, Konkuk University, Chungju-Si, Chungcheongbuk Do 27478, Republic of Korea. Electronic address:

Plethora of research has shed light on the critical role of synaptic dysfunction in various neurodegenerative disorders (NDDs), including Alzheimer's disease (AD), Parkinson's disease (PD), Amyotrophic lateral sclerosis (ALS), and Huntington's disease (HD). Synapses, the fundamental units for neural communication in the brain, are highly vulnerable to pathological conditions and are central to the progression of neurological diseases. The presynaptic terminal, a key component of synapses responsible for neurotransmitter release and synaptic communication, undergoes structural and functional alterations in these disorders.

View Article and Find Full Text PDF

Application of Traffic Cone Target Detection Algorithm Based on Improved YOLOv5.

Sensors (Basel)

November 2024

Yangxian Guangda New Energy Machinery Co., Ltd., Hanzhong 723300, China.

Article Synopsis
  • A lightweight YOLOv5-Lite-s neural network was implemented on embedded devices to automate the recognition and positioning of traffic cones during highway maintenance operations.
  • The system utilized a shuffle Net backbone for efficient feature extraction and modified convolutional layers to enhance speed while preserving model accuracy.
  • Experimental results indicated that the system could recognize cones with about 89% accuracy at 9 frames per second, successfully supporting cone operations at a rate of 30 cones per minute while maintaining stability in various environmental conditions.
View Article and Find Full Text PDF

With the proliferation of Internet of Things (IoT) devices and edge nodes, edge computing has taken on much of the real-time data processing and low-latency response tasks which were previously managed by cloud computing. However, edge computing often encounters challenges such as network instability and dynamic resource variations, which can lead to task interruptions or failures. To address these issues, developing a fault-tolerant scheduling mechanism is crucial to ensure that a system continues to operate efficiently even when some nodes experience failures.

View Article and Find Full Text PDF

Objective: To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation (PIRFT) arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.

Methods: We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance (MR) images of the L5/S1 segments into 7 key structures: L5, S1, Ilium, Disc, N5, Dura mater, and Skin, based on which a needle insertion path planning environment was modeled. Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion, and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.

View Article and Find Full Text PDF

There is growing attention towards atypical brain-body interactions and interoceptive processes and their potential role in psychiatric conditions, including affective and anxiety disorders. This paper aims to synthesize recent developments in this field. We present emerging explanatory models and focus on brain-body coupling and modulations of the underlying neurocircuitry that support the concept of a continuum of affective disorders.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!