Background: Various styrylbenzene compounds were synthesized and evaluated as mainly Aβ amyloid sensors. These compounds, however, cannot be used for detecting amyloid deposition in peripheral nerves because of the inherent sensitivity of the compounds. These compounds often generate false positives especially in the basement membrane of blood vessels in histochemical studies. To overcome these problems, we must first synthesize other styryl compounds for detecting amyloid fibrils in tissues.
Methods: A wide variety of symmetrical and unsymmetrical styrylbenzene derivatives were synthesized and then these compounds were used to detect amyloid fibrils in autopsy and biopsy samples from patients with various systemic and localized forms of amyloidosis such as familial amyloidotic polyneuropathy (FAP), senile systemic amyloidosis (SSA), amyloid A (AA) amyloidosis, localized AL amyloidosis, and Alzheimer's disease.
Results: 1-Methoxy-2,5-bis-styrylbenzene and 2-(2-(2-fluoroethoxy)ethoxy)ethoxy)-2,5-bis-styrylbenzene (EEEFSB) detected amyloid fibrils in both in vitro and in vivo histopathological studies. 1-Methoxy-2,5-bis-styrylbenzene also showed a high strength of fluorescence with amyloid deposition in peripheral nerves in a patient with FAP.
Conclusions: 1-Methoxy-2,5-bis-styrylbenzene and EEEFSB may prove a useful tool for diagnosing amyloidosis, not only in a histochemical study but also in whole body amyloid positron emission tomography (PET) imaging.
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http://dx.doi.org/10.1016/j.cca.2014.04.028 | DOI Listing |
Life (Basel)
December 2024
School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA.
Amyloid PET imaging plays a crucial role in the diagnosis and research of Alzheimer's disease (AD), allowing non-invasive detection of amyloid-β plaques in the brain. However, the low spatial resolution of PET scans limits the accurate quantification of amyloid deposition due to partial volume effects (PVE). In this study, we propose a novel approach to addressing PVE using a latent diffusion model for resolution recovery (LDM-RR) of PET imaging.
View Article and Find Full Text PDFEur J Radiol
January 2025
Department of Radiology, Rouen University Hospital, Rouen, Normandy, France. Electronic address:
Purpose: To evaluate the effectiveness of ultra-fast two-dimensional (2D) T2*-weighted multi-shot echo-planar imaging (MS-EPI) for the detection of cerebral microbleeds (CMB) in cognitive disorders.
Methods: Sixty-eight patients referred for neuroimaging to investigate cognitive disorders underwent 3 T MR imaging, with both 2D T2*-weighted MS-EPI and susceptibility-weighted angiography (SWAN). Microbleeds were separately assessed on 2D T2*-weighted MS-EPI and SWAN by 2 raters.
Chem Commun (Camb)
January 2025
Department of Chemistry, Indian Institute of Technology, Roorkee 247667, India.
KRS-1, a biocompatible nickel(II) complex, is introduced as a potent fluorescent probe for PrP fibrillar aggregates. KRS-1 shows a 15-fold enhancement in PL intensity and detects all stages of PrP aggregation. Fluorescence microscopy confirms its efficacy in identifying PrP fibrillar aggregates in HT-22 cells.
View Article and Find Full Text PDFBackground: Diagnosis of cardiac amyloidosis (CA) is often missed or delayed due to confusion with other causes of increased left ventricular wall thickness. Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) has shown promise in distinguishing CA, but with limited specificity. We conducted a study to investigate the performance of a computer vision detection algorithm in across multiple international sites.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
Department of Biomaterials, Saveetha Dental College and Hospitals, SIMATS, Saveetha University, Chennai, 600077, India.
Neurodegenerative diseases, particularly Alzheimer's disease and Parkinson's disease, present formidable challenges in modern medicine due to their complex pathologies and the absence of curative treatments. Despite advances in symptomatic management, early diagnosis remains essential for mitigating disease progression and improving patient outcomes. Traditional diagnostic methods, such as MRI, PET, and cerebrospinal fluid biomarker analysis, are often inadequate for the early detection of these diseases.
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