Alzheimer’s disease (AD) is considered to one of 10 key diseases leading to death in humans. AD is considered the main cause of brain degeneration, and will lead to dementia. It is beneficial for affected patients to be diagnosed with the disease at an early stage so that efforts to manage the patient can begin as soon as possible. Most existing protocols diagnose AD by way of magnetic resonance imaging (MRI). However, because the size of the images produced is large, existing techniques that employ MRI technology are expensive and time-consuming to perform. With this in mind, in the current study, AD is predicted instead by the use of a support vector machine (SVM) method based on gene-coding protein sequence information. In our proposed method, the frequency of two consecutive amino acids is used to describe the sequence information. The accuracy of the proposed method for identifying AD is 85.7%, which is demonstrated by the obtained experimental results. The experimental results also show that the sequence information of gene-coding proteins can be used to predict AD.

Whether health literacy is independently associated with processes or outcomes of diabetes-related care is controversial. We tried to demonstrate the interaction of health literacy and understanding of health education and instructions in achieving glycemic control.

Developing effective risk prediction models is a cost-effective approach to predicting complications of chronic kidney disease (CKD) and mortality rates; however, there is inadequate evidence to support screening for CKD. In this study, four data mining algorithms, including a classification and regression tree, a C4.5 decision tree, a linear discriminant analysis, and an extreme learning machine, are used to predict early CKD. The study includes datasets from 19,270 patients, provided by an adult health examination program from 32 chain clinics and three special physical examination centers, between 2015 and 2019. There were 11 independent variables, and the glomerular filtration rate (GFR) was used as the predictive variable. The C4.5 decision tree algorithm outperformed the three comparison models for predicting early CKD based on accuracy, sensitivity, specificity, and area under the curve metrics. It is, therefore, a promising method for early CKD prediction. The experimental results showed that Urine protein and creatinine ratio (UPCR), Proteinuria (PRO), Red blood cells (RBC), Glucose Fasting (GLU), Triglycerides (TG), Total Cholesterol (T-CHO), age, and gender are important risk factors. CKD care is closely related to primary care level and is recognized as a healthcare priority in national strategy. The proposed risk prediction models can support the important influence of personality and health examination representations in predicting early CKD.

Retromer, which crucially contributes to endosomal sorting machinery through the retrieval and recycling of signaling receptors away from degradation, has been identified as a critical element for glutamatergic-receptor-dependent neural plasticity at excitatory synapses. We observed it accompanied by behavioral allodynia; neuropathic injury time-dependently enhanced VPS26A and SNX27 expression; VPS26A–SNX27 coprecipitation; and VPS26A-positive, SNX27-positive, and VPS26A–SNX27 double-labeled immunoreactivity in the dorsal horn of Sprague Dawley rats that were all sufficiently ameliorated through the focal knock-down of spinal VPS26A expression. Although the knock-down of spinal SNX27 expression exhibited similar effects, spinal nerve ligation (SNL)-enhanced VPS26A expression remained unaffected. Moreover, SNL also increased membrane-bound and total mGluR5 abundance, VPS26A-bound SNX27 and mGluR5 and mGluR5-bound VPS26A and SNX27 coprecipitation, and mGluR5-positive and VPS26A/SNX27/mGluR5 triple-labeled immunoreactivity in the dorsal horn, and these effects were all attenuated through the focal knock-down of spinal VPS26A and SNX27 expression. Although administration with MPEP adequately ameliorated SNL-associated allodynia, mGluR5 expression, and membrane insertion, SNL-enhanced VPS26A and SNX27 expression were unaffected. Together, these results suggested a role of spinal VPS26A–SNX27-dependent mGluR5 recycling in the development of neuropathic pain. This is the first study that links retromer-associated sorting machinery with the spinal plasticity underlying pain hypersensitivity and proposes the possible pathophysiological relevance of endocytic recycling in pain pathophysiology through the modification of glutamatergic mGluR5 recycling.SIGNIFICANCE STATEMENTVPS26A–SNX27-dependent mGluR5 recycling plays a role in the development of neuropathic pain. The regulation of the VPS26A–SNX27 interaction that modifies mGluR5 trafficking and expression in the dorsal horn provides a novel therapeutic strategy for pain relief.

Emerging evidence has indicated that the pathogenesis of neuropathic pain is mediated by spinal neural plasticity in the dorsal horn, which provides insight for analgesic therapy. Here, we report that the abundance of tumor necrosis factor receptor-associated factor 2 and NcK-interacting kinase (TNIK), a kinase that is presumed to regulate neural plasticity, was specifically enhanced in ipsilateral dorsal horn neurons after spinal nerve ligation (SNL; left L5 and L6). Spinal TNIK-associated allodynia is mediated by downstream TNIK–GluR1 coupling and the subsequent phosphorylation-dependent trafficking of GluR1 toward the plasma membrane in dorsal horn neurons. Tumor necrosis factor receptor-associated factor 2 (TRAF2), which is regulated by spinal F-box protein 3 (Fbxo3)-dependent F-box and leucine-rich repeat protein 2 (Fbxl2) ubiquitination, contributes to SNL-induced allodynia by modifying TNIK/GluR1 phosphorylation-associated GluR1 trafficking. Although exhibiting no effect on Fbxo3/Fbxl2/TRAF2 signaling, focal knockdown of spinal TNIK expression prevented SNL-induced allodynia by attenuating TNIK/GluR1 phosphorylation-dependent subcellular GluR1 redistribution. In contrast, intrathecal administration of BC-1215 (N1,N2-Bis[[4-(2-pyridinyl)phenyl]methyl]-1,2-ethanediamine) (a novel Fbxo3 inhibitor) prevented SNL-induced Fbxl2 ubiquitination and subsequent TFAF2 de-ubiquitination to ameliorate behavioral allodynia via antagonizing TRAF2/TNIK/GluR1 signaling. By targeting spinal Fbxo3-dependent Fbxl2 ubiquitination and the subsequent TRAF2/TNIK/GluR1 cascade, spinal application of a TNF-α-neutralizing antibody ameliorated SNL-induced allodynia, and, conversely, intrathecal TNF-α injection into naive rats induced allodynia via a spinal Fbxo3/Fbxl2-dependent modification of the TRAF2/TNIK/GluR1 cascade. Together, our results suggest that spinal TNF-α contributes to the development of neuropathic pain by upregulating TRAF2/TNIK/GluR1 signaling via Fbxo3-dependent Fbxl2 ubiquitination and degradation. Thus, we propose a potential medical treatment strategy for neuropathic pain by targeting the F-box protein or TNIK.SIGNIFICANCE STATEMENTTNF-α participates in neuropathic pain development by facilitating the spinal TRAF2-dependent TNIK–GluR1 association, which drives GluR1-containing AMPA receptor trafficking toward the plasma membrane. In addition, F-box protein 3 modifies this pathway by inhibiting F-box and leucine-rich repeat protein 2-mediated TRAF2 ubiquitination, suggesting that protein ubiquitination contributes crucially to the development of neuropathic pain. These results provide a novel therapeutic strategy for pain relief.