Behavior Change Resources Used in Mobile App-Based Interventions Addressing Weight, Behavioral, and Metabolic Outcomes in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background: Overweight and obesity have become a public health issue. Lifestyle modifications delivered through mobile devices, especially mobile phones, present an opportunity to support weight loss efforts. However, evidence regarding the effects of mobile apps on other outcomes, such as blood pressure and physical activity (PA), remains limited.

Exergame-Based Behavior Change Interventions for Promoting Physical Activity: Systematic Review and Meta-Analysis of Randomized Controlled Studies.

Background: Physical inactivity is defined to be an activity level insufficient to meet recommendations. Exergame, which refers to a combination of exercise and video games, has the potential to promote physical activity (PA). Behavior change techniques (BCTs), the minimal, replicable components of an intervention, are widely used to identify components used in health behavior promotion.

The Application of IoT-Based Information Collection Platform in Intelligent Management of Cardiovascular Diseases.

Effective monitoring of the daily lives of patients with cardiovascular chronic diseases through smart healthcare technologies can help improve their quality of life, while also reducing the mortality and readmission rates associated with these diseases. Based on this, the present study aims to utilize the Internet of Things (IoT)-enabled wearable devices and machine learning techniques to collect health data from cardiovascular patients in their home environments. The goal is to enhance the accuracy and comprehensiveness of data collection and to construct a standardized health dataset.

Effectiveness of Transitional Care Intervention on Health Outcomes in Patients with Pci: A Systematic Review and Meta-Analysis.

Unlabelled: Transitional care interventions have been proposed to improve outcomes in chronic patients transitioning from hospital to home. This systematic review and meta-analysis aimed to evaluate the impact of transitional care interventions on readmission rates, quality of life, anxiety, and depression in post-PCI patients.

Methods: A comprehensive search was conducted across PubMed, Embase, Web of Science, CINAHL, and Cochrane Library for studies published up to November 26, 2024.

Targeting PPARα activation sensitizes glioblastoma cells to temozolomide and reverses acquired resistance by inhibiting H3K18 lactylation.

Temozolomide (TMZ) is an alkylating agent recommended as the first-line pharmaceutical for glioblastoma (GBM), but its efficacy is limited by the development of acquired resistance in GBM cells. TMZ resistance is regulated by multiple factors such as MGMT upregulation and metabolism reprogramming, its underlying mechanism still remains elusive. Peroxisome proliferator-activated receptor alpha (PPARα) is a transcription factor regulating the metabolism of lipid and glucose, while histone 3 lactylation at lysine on position 18 (H3K18la) could promote cancer cells' resistance to therapeutic drugs.

Effect of Incidence Sites on Light Distribution at Different Wavelengths During Transcranial Photobiomodulation.

Rationale And Objectives: Transcranial photobiomodulation (tPBM) has emerged as a promising noninvasive therapeutic technique for neurological diseases, such as Alzheimer's Disease and Stroke. However, the optimal incidence site for precise stimulation remains unclear. To address this, we aimed to employ the high-resolution Visible Chinese Human (VCH) dataset and Monte Carlo simulation to identify the most suitable incidence site.

Sevoflurane exposure triggers ferroptosis of neuronal cells initiated by the activation of ATM/p53 in the neonatal mouse brain via JNK/p38 MAPK-mediated oxidative DNA damage.

Neuronal death has long been regarded as a pivotal pathological factor in the developmental neurotoxicity caused by the volatile anesthetic sevoflurane in the neonatal brain, but the detailed mechanism remains controversial. Ferroptosis is a novel type of regulated cell death driven by excess lipid peroxidation secondary to intracellular iron overload, and it is implicated in the pathogenesis of various neurological disorders. Acting as a death messenger, p53 is primarily activated by ATM during DNA damage and mediates various forms of cell death, including apoptosis, autophagy, and ferroptosis.

Oxidative cell death in the central nervous system: mechanisms and therapeutic strategies.

Oxidative cell death is caused by an overproduction of reactive oxygen species and an imbalance in the antioxidant defense system, leading to neuronal dysfunction and death. The harm of oxidative stress in the central nervous system (CNS) is extensive and complex, involving a variety of molecular and cellular level changes that may lead to a variety of acute and chronic brain pathologies, such as stroke, traumatic brain injury, or neurodegenerative diseases and psychological disorders. This review provides an in-depth look at the mechanisms of oxidative cell death in the central nervous system diseases.

From knowledge silos to integrated insights: building a cardiovascular medication knowledge graph for enhanced medication knowledge retrieval, relationship discovery, and reasoning.

Background: Cardiovascular diseases are diverse, intersecting, and characterized by multistage complexity. The growing demand for personalized diagnosis and treatment poses significant challenges to clinical diagnosis and pharmacotherapy, increasing potential medication risks for doctors and patients. The Cardiovascular Medication Guide (CMG) demonstrates distinct advantages in managing cardiovascular disease, serving as a critical reference for front-line doctors in prescription selection and treatment planning.

Demand analysis of transitional care for patients undergoing minimally invasive cardiac interventions with AI-driven solutions: a mixed-methods approach.

Aims: Minimally invasive cardiac intervention (MICI) patients remain at high risk of readmission and mortality during their post-discharge phase, with 30-day readmission rates of up to 10%. Although technological innovations, especially AI-driven solutions, hold promise for improving outcomes, there is a pressing need to clarify the full spectrum of patient demands during the transition from hospital to home. This study aimed to systematically identify these demands to guide the development of AI-driven solutions that reduce readmission rates and improve clinical outcomes.

N-Acety-L-Cysteine Alleviates Isoflurane-Triggered Neuronal Cell Parthanatos by Suppressing Reactive Oxygen Species Accumulation Through the Induction of c-Jun N-Terminal Kinase Signaling Pathway Inhibition.

In recent years, the potential neurotoxicity of inhaled anesthetics on the developing brain has increasingly garnered attention, yet its mechanism remains unclear. Parthanatos is a newly discovered form of programmed cell death dependent on PARP-1, and it is believed to be closely associated with cellular oxidative stress response. However, it is still to be proven whether isoflurane, a commonly used clinical anesthetic, can induce parthanatos in developing brain neurons and whether it activates the oxidative stress signaling pathway in neuronal cells.

Advancing cardiac MRI multi-structure segmentation: A semi-supervised multidimensional consistency constraint learning network.

Background: Deep convolutional neural networks (DCNNs) have been proposed for medical Magnetic Resonance Imaging (MRI) segmentation, but their effectiveness is often limited by challenges in semantic discrimination, boundary delineation, and spatial context modeling.

Purpose: To address these challenges, we present the Multidimensional Consistency Constraint Learning Network (MDCC-Net) for multi-structure segmentation of cardiac MRI using a semi-supervised approach.

Methods: MDCC-Net incorporates a shared encoder, multiple differentiated decoders, and leverages pyramid boundary consistency features and spatial consistency constraints.

A Culturally Tailored Artificial Intelligence Chatbot (K-Bot) to Promote Human Papillomavirus Vaccination Among Korean Americans: Development and Usability Study.

Background: Human papillomavirus (HPV) is the most common sexually transmitted infection (STI) worldwide and is associated with various cancers, including cervical and oropharyngeal cancers. Despite the availability of effective vaccines, significant disparities in HPV vaccination rates persist, particularly among racial and ethnic minorities, such as Korean Americans. Cultural stigma, language barriers, and limited access to tailored health information contribute to these disparities.

Diagnostic Value of Umbilical Cord Blood Interleukin-6 Level in Premature Infants with Early-Onset Sepsis.

Objective: Early-onset sepsis (EOS) is a serious, grave, and frequently fatal condition in premature infants. This study aimed to assess the diagnostic value of interleukin-6 (IL-6) levels in umbilical cord blood for identifying EOS in preterm infants.

Methods: This prospective cohort study was conducted on preterm infants between May 2019 and April 2021.

Association of cognitive performance with overall, dosage, intensity, and domain physical activity in aging: NHANES 2011-2014.

Background: The specific relationship between PA in detailed types and cognition is still unclear due to limited evidence. Our study aimed to investigate the relationship between cognitive performance and various aspects of physical activity, including overall activity, dosage, intensity levels [moderate physical activity (MPA), vigorous PA], and different domains of activity [occupational PA (OPA), transportation PA (TPA), and leisure-time PA (LTPA)] in older adults using data from the NHANES database.

Methods: This cross-sectional analysis used data from 2 cycles of NHANES (2011-2014).

Behavior Change Techniques Used in Self-Management Interventions Based on mHealth Apps for Adults With Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background: Hypertension has become an important global public health challenge. Mobile health (mHealth) intervention is a viable strategy to improve outcomes for patients with hypertension. However, evidence on the effect of mHealth app interventions on self-management in patients with hypertension is yet to be updated, and the active ingredients promoting behavior change in interventions remain unclear.

Systematic Development of an AI Chatbot for Physical Activity Habit Formation in Prehypertension Individual Integrating Needs, Theories, and Evidence.

Prehypertension, an early stage in the development of hypertension, impacts a substantial segment of the adult population worldwide. Addressing this issue, our study introduces HabitBot, an AI-driven chatbot tailored to encourage physical activity (PA) habits among individuals with prehypertension. HabitBot combines natural language processing with multidisciplinary approaches, drawing from both theoretical frameworks and empirical studies.

Effects of Mobile Applications on Weight-Related, Behavior and Metabolic Outcomes for Adults with Overweight and Obesity: A Systematic Review and Meta-Analysis.

The meta-analysis aimed to explore the effects of mobile phone applications on weight-related, behavior, and metabolic outcomes among adults with overweight and obesity. Six databases were searched for relevant randomized controlled trials (RCTs) published between January 1, 2010 and November 7, 2023 in English. Two independent authors conducted study selection, data extraction, quality assessment.

The Acceptance of Using Large Language Model Among Older Adults: A Study Based on TAM.

This study investigates the acceptance of large language models (LLMs) among older adults using the Technology Acceptance Model (TAM). The research, conducted through a cross-sectional survey, explores the influence of perceived ease of use and perceived usefulness on intension to use among older adults. The results show that the subjective norm, image, job relevance, output quality, result demonstrability, perceived ease of use have a significant positive and direct impact on perceived usefulness (β=0.

Detection and Evaluation for High-Quality CPR Based on Motion Capture Devices: A Preliminary Test.

High-quality cardiopulmonary resuscitation (CPR) is important for successful revival. This test aimed to accurately and effectively assess parameters in CPR operations, particularly focusing on the non-quantified arm posture, to assist instructors in guiding students to enhance the quality of their performance. We used motion capture system (Mars series, Nokov, China) to collect compression data from four trained students about five rounds of CPR, recording dynamic data of each marker in three-dimensional space following time.

[Retracted] Knockdown of SNHG16 suppresses the proliferation and induces the apoptosis of leukemia cells via miR‑193a‑5p/CDK8.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that certain of the colony formation assay data shown in Fig. 7A on p. 1183 were strikingly similar to data appearing in different form in the following article written by different authors at different research institutes that had already been published prior to its date of submission: Lou L, Chen G, Zhong B and Liu F: polysaccharide induced apoptosis and inhibited proliferation in infantile hemangioma endothelial cells via down‑regulation of PI3K/AKT signaling pathway.

Detection and Evaluation for High-Quality Cardiopulmonary Resuscitation Based on a Three-Dimensional Motion Capture System: A Feasibility Study.

High-quality cardiopulmonary resuscitation (CPR) and training are important for successful revival during out-of-hospital cardiac arrest (OHCA). However, existing training faces challenges in quantifying each aspect. This study aimed to explore the possibility of using a three-dimensional motion capture system to accurately and effectively assess CPR operations, particularly about the non-quantified arm postures, and analyze the relationship among them to guide students to improve their performance.

SIRT1 activated by AROS sensitizes glioma cells to ferroptosis via induction of NAD+ depletion-dependent activation of ATF3.

Ferroptosis is a type of programmed cell death resulting from iron overload-dependent lipid peroxidation, and could be promoted by activating transcription factor 3 (ATF3). SIRT1 is an enzyme accounting for removing acetylated lysine residues from target proteins by consuming NAD+, but its role remains elusive in ferroptosis and activating ATF3. In this study, we found SIRT1 was activated during the process of RSL3-induced glioma cell ferroptosis.