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Factors associated with receiving a Functional Disorder diagnostic label: A systematic review.

PLoS One

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Interdisciplinary Centre Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Objectives: Functional Disorders (FD) are highly prevalent conditions that are diagnosed based on the presence of specific patterns of somatic symptoms. Examples of FDs include Fibromyalgia and Irritable Bowel Syndrome. Many patients who meet the criteria do not receive a formal diagnostic label.

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5-Methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are crucial epigenetic modifications in eukaryotic genomic DNA that regulate gene expression and are associated with the occurrence of various cancers. Here, we combined bisulfite conversion with 4-acetamido-2,2,6,6-tetramethyl-1-oxopiperridinium tetrafluoroborate (ACTBF, TCI) oxidation to develop a label-free and sequence-independent isothermal amplification (BTIA) assay for a genome-wide 5mC and 5hmC analysis. The BTIA strategy can distinguish 5mC and 5hmC signatures from other bases with high sensitivity and good specificity, avoiding sophisticated chemical modifications and expensive protein labeling.

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Tomato (Solanum lycopersicum L.) is an important model plant whose fleshy fruit consists of well-differentiated tissues. Recently it was shown that these tissues develop hypoxia during fruit development and ripening.

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Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.

Microelectrodes offer exceptional sensitivity, rapid response, and versatility, making them ideal for real-time detection and monitoring applications. Photoelectrochemical (PEC) sensors have shown great value in many fields due to their high sensitivity, fast response, and ease of operation. Nevertheless, conventional PEC sensing relies on cumbersome external light sources and bulky electrodes, hindering its miniaturization and implantation, thereby limiting its application in real-time disease monitoring.

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Introduction: Traditional multivariate methods for neuroimaging studies overlook the interdependent relationship between brain features. This study addresses this gap by analyzing relative brain volumetric patterns to capture how Alzheimer's disease (AD) and genetics influence brain structure along the disease continuum.

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