ABSTRACT Physical activity is central to cancer survivorship care, yet the prognostic value of its multiple dimensions remains poorly characterized. We aimed to define multidimensional, wearable‐derived digital phenotypes of physical activity; determine their independent associations with all‐cause mortality; identify dose–response thresholds for survival benefit; and evaluate their utility in machine learning mortality prediction among cancer survivors. This observational cohort study analyzed 9379 National Health and Nutrition Examination Survey (2011–2014) participants with wrist accelerometry and mortality follow‐up, including 864 cancer survivors. Three Monitor‐Independent Movement Summary (MIMS) phenotypes were derived: Volume, Intensity, and Variability. In fully adjusted Cox models, vigorous versus light patterns were associated with lower mortality (hazard ratios 0.33, 0.22, and 0.29 for Volume, Intensity, and Variability, respectively). Dose–response thresholds for survival benefit were identified (Intensity > 24, Volume > 4945, and Variability > 2.4). Protective associations were stronger in survivors with low functional limitation. Machine learning models discriminated well (Random Survival Forest AUC = 0.799), with external validation confirming generalizability (AUC = 0.773). Multidimensional digital phenotypes, particularly for peak intensity and variability, are independent mortality predictors, supporting their integration into precision cancer survivorship care. Interpretation is limited by the absence of cancer staging and treatment data.
ABSTRACT Chlorogenic acid (CGA) aids diabetic wound healing via antioxidant, antibacterial, and pro‐migration effects, but poor stability and low membrane permeability limit its use in chronic diabetes. Therefore, we employed a one‐pot method to mix naphthalene‐modified diphenylalanine (FF) and hyaluronic acid (HA) to prepare an injectable composite hydrogel capable of delivering CGA to inflamed wounds and enabling sustained‐release drug delivery, thereby promoting the healing of diabetic wounds. We evaluated it through the rheological and morphological properties, as well as the in vitro biocompatibility of the hydrogel. Structurally, the hydrogel exhibits a uniform nanofiber network, conferring enhanced mechanical strength and stable drug‐loading capacity. In a mouse wound model, it reduced wound area to 7.99% ± 0.73% after 12 days of treatment, with increased granulation tissue, collagen deposition, and microvascular density compared with the normal saline group. Collectively, these findings indicate that the peptide‐based composite hydrogel promotes local angiogenesis and vascular maturation, thereby accelerating the healing process of chronic diabetic wounds. This system represents a promising strategy for the development of bioactive wound dressings. Nevertheless, the underlying molecular mechanisms remain to be fully elucidated, and further validation in large animal models is required prior to clinical translation.
ABSTRACT Second‐generation E‐patients producing personal health data demand new clinical communication competencies, but the readiness of medical students—frontline doctors—remains unclear. This 17‐institutional cross‐sectional study of 310 Chinese medical students evaluated perceived competence, attitudes, barriers, and explored relationships via Structural Equation Modeling (SEM). Respondent profiles shifted toward male (70.32% vs. 48.70%), postgraduate (60.32% vs. 44.50%), Double First‐Class university (63.55% vs. 47.06%), and eastern (64.19% vs. 52.94%) students, reflecting heightened issue saliency and professional leverage. While 78.71% of the students held positive attitudes and 55.16% reported high overall competence, granular assessments revealed profound proficiency deficits, specifically in digital clinical data interpretation (proficiency < 30.00%), alongside pervasive situational barriers. Multivariable modeling confirmed positive attitudes as the principal predictor of high competence (OR = 2.282, 95% CI: 1.292–4.032, p = 0.004). SEM further revealed a challenge‐oriented pathway in which acute barrier awareness was positively related to attitudes ( β = 0.394) and subsequent proficiency ( β = 0.439). Despite small sample size limitations, the results underscore a significant mismatch between future physicians' digital health awareness and actual competence. We propose a model‐driven framework to deconstruct communication barriers to catalyze attitudinal elevation and subsequent competence acquisition, preparing such digital‐pioneer students for the data‐rich E‐patient landscape.
ABSTRACT Oxidative stress and redox signaling represent fundamental biological processes as they affect cellular homeostasis. In addition to their recognized cytotoxic effects, reactive oxygen species (ROS) were recognized to serve crucial roles in signaling transduction pathways, which in turn are tightly regulated in vivo in both physiological as well as disease states, with reactive nitrogen species (RNS) playing complementary roles. At physiological levels, ROS are integral to redox signaling, while persistent or uncontrolled redox, predominantly driven by excessive ROS, promotes disease pathology. Despite extensive research, a major knowledge gap remains in clearly distinguishing beneficial redox signaling and maladaptive oxidative distress. Additionally, there is a need to elucidate how these processes diverge across different pathological conditions and disease stages. In this review, the dysregulation of these highly regulated processes and their implications for a range of disease processes are examined with a focus on context‐dependent and stage‐specific effects. In addition, current and emerging diagnostic biomarkers of oxidative stress, along with redox‐targeted therapeutic strategies, are discussed, highlighting potential benefits and limitations. Finally, this review clarifies current conceptual challenges in redox biology and identifies opportunities for more precise therapeutic targeting of oxidative stress‐related diseases.
