There is currently a great deal of scientific interest and debate concerning the possible advantages that proteomic and metabonomic technologies might have over traditional biomarkers of toxicity (blood and urine chemistry, histopathology). Numerous papers have been published that make impressive claims concerning potential applications for these novel technologies, however there appears to be little hard evidence in the literature of their advantages over the traditional techniques for assessing toxicity. The aim of this review was to evaluate the relative sensitivity and specificity of proteomic and metabonomic techniques, compared with traditional techniques, for assessing xenobiotic-induced nephrotoxicity. A review of studies was performed where both one of the novel methods as well as traditional techniques were used for assessment of xenobiotic-induced nephrotoxicity. There was no consistent evidence from the literature that the novel methodologies were any more sensitive than the traditional methods for assessing nephrotoxicity. This could be due to the relatively small number of studies available for review (n = 13), the fact that generally these studies were not aimed at determining relative sensitivity or specificity and may not be the case with other target organs, such as the liver. However, it was clear that the novel methodologies were able to discriminate between the effects caused by different toxicants. There was evidence both that this discrimination was on the basis of different mechanisms of toxicity and on the basis of different locations of nephrotoxic lesion. A great deal of validation work is necessary before these techniques could gain full acceptance by regulatory authorities, and it is unclear whether their use in anything other than non-regulatory, mechanistic studies is likely to become widespread.
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http://dx.doi.org/10.1002/jat.1064 | DOI Listing |
Biosens Bioelectron
January 2025
Centre for Advanced Optoelectronic Functional Materials Research and Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, 130024, Changchun, China. Electronic address:
The development of integrated multiple signal outputs within a single platform is highly significant for efficient and accurate on-site biomarker detection. Herein, colorimetric/electrochemical dual-mode microfluidic paper-based analytical devices (μPADs) were designed for portable, visual and accurate dopamine (DA) detection. The dual-mode μPADs, featuring folded structure, integrate a colorimetric layer and an electrochemical layer using wax printing and laser-induced graphene (LIG) pyrolysis techniques, allowing the vertical flow of analyte solution.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
View Article and Find Full Text PDFAnn Plast Surg
February 2025
From the Department of Plastic, Hand and Faciomaxillary Surgery, The Alfred, Melbourne, Australia.
Hourglass fascicular constrictions have been reported in fewer than 100 cases globally and only in the upper limb. The etiology remains unknown. Patients often present with self-limiting pain in the affected limb followed by flaccid paralysis.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Metal-organic frameworks (MOFs) hold great potential in gas separation and storage. Graph neural networks (GNNs) have proven effective in exploring structure-property relationships and discovering new MOF structures. Unlike molecular graphs, crystal graphs must consider the periodicity and patterns.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Faculty of Information Technology, Beijing University of Technology, Beijing, People's Republic of China.
In fundus images, precisely segmenting retinal blood vessels is important for diagnosing eye-related conditions, such as diabetic retinopathy and hypertensive retinopathy or other eye-related disorders. In this work, we propose an enhanced U-shaped network with dual-attention, named DAU-Net, divided into encoder and decoder parts. Wherein, we replace the traditional convolutional layers with ConvNeXt Block and SnakeConv Block to strengthen its recognition ability for different forms of blood vessels while lightweight the model.
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