Introduction: The combined effects of visual impairment, hearing loss, and olfactory dysfunction on cognitive impairment remain unclear.
Methods: We conducted a case-control study with 25,432 adults aged 60 years or older. We used multiple logistic regression to analyze the effects of combined visual impairment, hearing loss, and olfactory dysfunction on cognitive impairment, while controlling for confounding factors.
Background: Plaque destabilization and rupture are the primary triggers of acute coronary syndrome (ACS). Soluble growth stimulation expressed gene 2 (sST2) has been implicated in cardiovascular disease. We aimed to investigate the association between circulating sST2 levels and features of coronary plaque destabilization assessed by optical coherence tomography (OCT) in patients with unstable angina (UA).
View Article and Find Full Text PDFBackground: Breast cancer ranks first in the global incidence rate of malignant tumors in women. Despite the continuous emergence of new treatment methods, it remains a significant threat to the lives and quality of life of patients. Insulinoma, a rare pancreatic neuroendocrine tumor, causes pancreatic beta cells to over-secrete insulin, disrupting the normal physiological feedback mechanism and leading to hyperinsulinemia.
View Article and Find Full Text PDFAtherosclerosis (AS), a prime causative factor in cardiovascular disease, originates from endothelial cell dysfunction (ECD). Comprising a vital part of the vascular endothelium, endothelial cells play a crucial role in maintaining vascular homeostasis, optimizing redox balance, and regulating inflammatory responses. More evidence shows that ECD not only serves as an early harbinger of AS but also exhibits a strong association with disease progression.
View Article and Find Full Text PDFOphthalmic Surg Lasers Imaging Retina
June 2025
Optical coherence tomography (OCT) is a non-invasive imaging modality essential for macular hole (MH) management. Artificial intelligence (AI) algorithms could be applied to OCT to garner insights for MH prognosis and outcomes. The objective was to review literature assessing automated image analysis algorithms in predicting postoperative outcomes for MH patients based on OCT images.
View Article and Find Full Text PDFAccurate fault diagnosis of power batteries is significant to ensure safe operation of electric vehicles. Most of existing methods rely heavily on real-time collection of battery status parameters, including voltage, current, and temperature, by the on-board battery management system to facilitate diagnosis. Nevertheless, these approaches suffer from inherent latency issues, lacking precision in risk predictions, and unable to accurately provide insights on vehicles that do not conform to the diagnostic criteria.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
University students have high prevalence of stress and anxiety, which may be amenable to in-the-moment interventions supported by wearable devices that measure heart rate variability (HRV). However, for low-cost devices that are convenient to wear, heart rate (HR) and step count are more readily available than HRV. We investigated the performance of machine learning models trained to estimate HRV from HR and step count based on 201 hours of data from 14 participants undertaking normal university weekday activities.
View Article and Find Full Text PDFMol Cell
March 2025
Retinoic acid-inducible gene-I (RIG-I)-like receptors (RLRs) and cyclic GMP-AMP synthase (cGAS) recognize aberrant nucleic acids and initiate antiviral responses. Host factor zinc finger CCHC domain-containing protein 3 (ZCCHC3) positively regulates both RLRs- and cGAS-mediated signaling through unknown mechanisms. Here, we show that ZCCHC3 employs a broad and unified strategy to promote these pathways in human cell lines.
View Article and Find Full Text PDFObjectives: In this study, we constructed a model based on circadian rhythm associated genes (CRRGs) to predict prognosis and immune infiltration in patients with breast cancer (BC).
Materials And Methods: By using TCGA and CGDB databases, we conducted a comprehensive analysis of circadian rhythm gene expression and clinicopathological data. Three different machine learning algorithms were used to screen out the characteristic circadian genes associated with BC prognosis.
Coronary microvascular dysfunction serves as one of the etiological factors for ischemic heart disease and represents a novel therapeutic direction for coronary artery diseases; however, the research on its pathogenesis remains inconsistent. This study aims to explore the single-cell gene expression profiles in rats with coronary microvascular dysfunction using single-cell RNA sequencing, with a particular focus on the in-depth analysis of endothelial cell gene expression characteristics. By establishing a rat model of coronary microvascular dysfunction, we collected cardiac apical tissue to prepare single-cell suspensions and further analyzed them using bioinformatics methods.
View Article and Find Full Text PDFBackground: Endothelial cell dysfunction has a critical role in the pathophysiology of atherosclerosis. This study aims to uncover pivotal genes and pathways linked to endothelial cell dysfunction in atherosclerosis, as well as to ascertain the assumed causal effects and potential mechanisms.
Methods: Datasets relevant to endothelial cell dysfunction in atherosclerosis were collected and divided into training and validation sets.
Cardiovasc Ther
January 2025
Coronary artery disease (CAD) is caused by atherosclerotic lesions in the coronary vessels. Endoplasmic reticulum stress (ERS) acts in cardiovascular disease, and its role in CAD is not clear. A total of 13 differentially expressed ERS-related genes (DEERSRGs) in CAD were identified.
View Article and Find Full Text PDFPeg-IFNα is one of the current therapeutic strategies for Hepatitis B virus (HBV) seroclearance. Nevertheless, the underlying mechanisms are not yet adequately understood. The objective of this study was to explore the potential mechanisms using multiomics approach.
View Article and Find Full Text PDFBackground: Type 2 diabetes mellitus (T2DM) is a serious metabolic syndrome with high mortality and disability rates globally, which usually caused by unhealthy dietary patterns. Cinnamomum camphora leaf is a traditional Chinese medicinal herb used for attenuating hyperglycemia and digestive disorder, and high level of lignans has been found in C. camphora leaf.
View Article and Find Full Text PDFObjective: Anxiety disorders are highly prevalent around the world and are associated with significant disability, comorbidity and costs to society. Digital tools have the potential to deliver equitable, convenient and sustainable interventions for anxiety. We aimed to co-design and pilot-test an in-the-moment intervention to help young people manage anxiety.
View Article and Find Full Text PDFGenomics Proteomics Bioinformatics
July 2024
Enhancers are DNA sequences that can strengthen transcription initiation. However, the global identification of plant enhancers is complicated due to uncertainty in the distance and orientation of enhancers, especially in species with large genomes. In this study, we performed self-transcribing active regulatory region sequencing (STARR-seq) for the first time to identify enhancers across the barley genome.
View Article and Find Full Text PDFFront Cardiovasc Med
July 2024
The research progress of endoplasmic reticulum (ER) stress in atherosclerosis (AS) is of great concern. The ER, a critical cellular organelle, plays a role in important biological processes including protein synthesis, folding, and modification. Various pathological factors may cause ER stress, and sustained or excessive ER stress triggers the unfolded protein response, ultimately resulting in apoptosis and disease.
View Article and Find Full Text PDFAccurate prediction of molecular properties is fundamental in drug discovery and development, providing crucial guidance for effective drug design. A critical factor in achieving accurate molecular property prediction lies in the appropriate representation of molecular structures. Presently, prevalent deep learning-based molecular representations rely on 2D structure information as the primary molecular representation, often overlooking essential three-dimensional (3D) conformational information due to the inherent limitations of 2D structures in conveying atomic spatial relationships.
View Article and Find Full Text PDFBAX plays an essential role in retinal ganglion cell (RGC) death induced by optic nerve injury. Recently, we developed M109S, an orally bioactive and cytoprotective small compound (CPSC) that inhibits BAX-mediated cell death. We examined whether M109S can protect RGC from optic nerve crush (ONC)-induced apoptosis.
View Article and Find Full Text PDFDefect engineering and nitrogen doping being effective strategies for modulating the surface chemical state of the carbon matrix have been widely explored to promote the catalytic activity in the territory of electrochemical energy storage and conversion devices. However, the controllable synthesis of carbon material with high-density specific defects and high nitrogen doping is still full of challenges. Here, we first synthesize one-dimensional necklace-like nitrogen-doped carbon nanochains (N-CNCs) with abundant defects on carbon fiber paper (CFP) by chemical vapor deposition (CVD) method.
View Article and Find Full Text PDFBrief Bioinform
November 2023
Kinase inhibitors are crucial in cancer treatment, but drug resistance and side effects hinder the development of effective drugs. To address these challenges, it is essential to analyze the polypharmacology of kinase inhibitor and identify compound with high selectivity profile. This study presents KinomeMETA, a framework for profiling the activity of small molecule kinase inhibitors across a panel of 661 kinases.
View Article and Find Full Text PDFChin J Nat Med
November 2023
J Med Internet Res
November 2023
As wearable devices, which allow individuals to track and self-manage their health, become more ubiquitous, the opportunities are growing for researchers to use these sensors within interventions and for data collection. They offer access to data that are captured continuously, passively, and pragmatically with minimal user burden, providing huge advantages for health research. However, the growth in their use must be coupled with consideration of their potential limitations, in particular, digital inclusion, data availability, privacy, ethics of third-party involvement, data quality, and potential for adverse consequences.
View Article and Find Full Text PDFPegylated interferon alfa (PegIFNα) has limited efficacy in the treatment of chronic hepatitis B (CHB). Although many biomarkers related to hepatitis B virus (HBV) have been proposed to stratify patients, the response rate to PegIFNα is still unsatisfactory. Herein, our data suggest that the single-nucleotide polymorphism (SNP) rs10838543 in TRIM22 potentiates a positive clinical response to PegIFNα treatment in patients with hepatitis B e antigen-positive CHB by increasing the levels of IFNL1, CCL3, and CCL5.
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