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Multi‑omics approaches to decipher the molecular mechanisms of exercise‑mediated bone protection: From mechanistic insights to personalized exercise prescription (Review).
The global burden of bone metabolic disorders necessitates a shift from generic exercise recommendations toward personalized prescription strategies. Exercise confers skeletal protection through mechanotransduction, yet the underlying molecular networks remain incompletely understood. Multi‑omics technologies, including transcriptomics, proteomics, metabolomics and single‑cell spatial approaches, have revolutionized the capacity to decode exercise‑mediated bone adaptation at the systems level. The present review synthesizes current single‑omics landscapes and integrative multi‑omics analyses that elucidate the core regulatory networks, mechanobiological coupling mechanisms and multiorgan crosstalk that are implicated in the bone response to mechanical loading. Translational applications across clinical scenarios such as osteoporosis, osteoarthritis and disuse bone loss are evaluated, and the technical, analytical and translational challenges limiting clinical implementation are addressed. Finally, the present review provides a framework for translating multi‑omics molecular signatures into personalized exercise prescriptions for optimized skeletal health.
Communication crossroads: Exploring generational dynamics in nursing from the bedside to the boardroom.
Nurses have up to four times more patient contact than physicians, positioning them as central drivers of communication in health care. Effective communication directly influences patient outcomes, teamwork, staff engagement, and the overall care experience. Today's nurses operate within a highly diverse environment that includes four generations in the workforce and up to eight generations of patients, each with distinct values, expectations, and communication preferences. This article examines how generational differences shape communication across three key relational domains: peer-to-peer, nurse-to-patient, and nurse-to-leader interactions, and offers insights to strengthen collaboration, engagement, and quality of care.
Comment on "Large-scale whole-genome sequencing of animal clinical Salmonella enterica demonstrates relatedness to human cases".
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The Impact of Oncological Treatments on Return to Work, Work Ability, and Sickness Absence in Breast Cancer Survivors: A Systematic Review.
PURPOSE: Returning to work and maintaining an adequate ability to work serve as key indicators of quality of life, psychological well-being and psychosocial adjustment. Therefore, this study aims to analyze the impact of breast cancer treatments on return to work (RTW), work ability (WA), and sick leave (SL) among breast cancer survivors. METHODS: A systematic review was conducted according to the PRISMA guidelines. The sample consisted of 26 studies published between 2016 and 2025, including prospective multicenter cohorts and national registries from fifteen countries across four continents, with more than 25,000 participants. A methodological quality assessment and a narrative synthesis were performed to synthesize the results. RESULTS: Chemotherapy is the most consistent predictor of prolonged SL, delayed RTW, and significantly reduced WA. Radical surgery and axillary lymph node dissection (ALND) are associated with a significantly delayed RTW due to physical sequelae. While outcomes showed strong relationship with clinical factors, certain psychosocial variables such as depression, anxiety, and low self-efficacy seemed to act as important secondary factors that can further complicate the process. CONCLUSION: The findings suggest that more invasive or aggressive treatments (chemotherapy, ALND, and radical surgery) were associated with poorer outcomes on RTW, WA, and SL. Furthermore, the clinical recovery associated with treatment completion did not necessarily equate to a functional recovery in WA that facilitated a successful RTW. Thus, it is necessary to explore in depth the impact of cancer treatments on WA, alongside psychosocial variables, to design multidisciplinary interventions that enable sustainable occupational reintegration. REGISTRATION: PROSPERO 2026 (CRD420261322638).
Letter to the Editor re: "Education and training in hypospadias surgery: Current status, competency assessment, and the role of modern educational tools".
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New Data Relevant to Treating Substance Use Disorders, Bipolar Disorder, and Pediatric Anxiety Disorders.
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Letter to the Editor re: "Parental experiences with outpatient care for daytime urinary incontinence in children: a mixed methods study".
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Corrigendum to "Characterization of the complete mitochondrial genomes of four tarantulas (Arachnida: Theraphosidae) with phylogenetic analysis" [Gene 933 (2025) 148954].
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Reply to: Role of Risk-Reducing Bilateral Mastectomy in BRCA1 and BRCA2 Pathogenic Variant Carriers.
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From waitlists to clinical action: pathway development and research priorities in childhood developmental regression.
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From most vulnerable to most valuable: elevating children in the climate and health agenda.
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Relationships among mechanisms in psychosocial treatments for chronic pain: mechanism to mechanism lagged effects and relationships with outcomes.
Results suggest that psychosocial treatments for chronic pain work via several mechanisms, and that they often do so to similar degrees and in similar ways. Extant research, however, has focused on individual and/or independent effects of mechanisms on outcomes. Whether successful outcomes are also partly because of sequential and meaningful relationships among and between mechanisms-mechanism-to-mechanism effects-has not been examined. Secondary analyses were conducted of an RCT that compared cognitive therapy, mindfulness-based stress reduction, and behavior therapy to treatment as usual in a sample (N = 521) of people with chronic low back pain. Results of hierarchical linear modeling revealed that (1) Treatment Condition × Mechanism interactions predicting changes in other mechanisms were nonsignificant; (2) lagged prior session mechanism changes predicted next session changes in another mechanism; (3) lagged relationships between pain catastrophizing and pain self-efficacy were reciprocal, whereas links between lagged pain catastrophizing and mindfulness changes and lagged pain catastrophizing changes and behavioral activation changes were unidirectional; and (4) individual differences in the strengths of mechanism-to-mechanism relationships predicted pre- to post-treatment changes in outcomes. Results reveal heretofore hidden therapeutic processes that cognitive therapy, mindfulness-based stress reduction, and behavior therapy may share. Namely, that mechanism-to-mechanism lagged effects do indeed emerge beyond mechanism-to-outcome effects. Findings show not only that mechanisms may change in definable sequences relative to each other but that individual differences in the strengths of mechanism-to-mechanism relationships may themselves be predictive of outcomes.
Corrigendum to "Reticulate evolution, introgression, and recent diversification in Epimedium sect. Macroceras" [Molecul. Phylog. Evol. 223 (2026) 108646].
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SGLF-Net:Staged Global-to-Local Cross-Scale Fusion Network for Colonoscopic Polyp Segmentation.
Polyp segmentation in colonoscopy images plays a pivotal role in computer-aided medical diagnosis and the early prevention of colorectal cancer. However, existing methods often suffer from performance degradation when confronted with extreme polyp scale variation and polyp boundary ambiguity. To address these challenges, we propose the Staged Global-to-Local Cross-Scale Fusion Network (SGLF-Net), which adopts a novel staged global-to-local learning paradigm to progressively refine segmentation from coarse global semantics to fine-grained local details. Specifically, the Global Semantic Perception Stage integrates a Swin Transformer Encoder and a Dynamic Attentive Decoder (DAD) to construct comprehensive multi-scale contextual representations. The Local Detail Refinement Stage employs an Edge-aware Dynamic Attentive Decoder (E-DAD) to enhance structural fidelity and boundary precision through explicit edge-guided supervision. Furthermore, we introduce the Cross Spatial-Scale Feature Aggregation and Reconstitution (CSSAR) module, equipped with hybrid attention mechanisms, to facilitate efficient semantic structural interaction between the two cascaded stages. Extensive experiments on five public benchmark datasets demonstrate that SGLF-Net consistently outperforms state-of-the-art methods in both segmentation accuracy and boundary preservation.
Measuring what we count, counting what we measure: Two extensions to the case for modernizing cannabis use disorder surveillance.
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How to assess different types of abstract concepts in brain disorders: A systematic review.
The clinical evaluation of semantic knowledge has predominantly relied on tools targeting concrete concepts, whereas abstract knowledge has historically received limited attention despite its importance in everyday communication. Only a few instruments have explored the internal subdivision of abstract knowledge, likely due to the intrinsic difficulty of defining specific types of concepts or dimensions, resulting in a fragmented and heterogeneous neuropsychological assessment framework that limits our understanding of this domain. This systematic review examined the tools used to assess various types of abstract concepts in clinical populations. A literature search has been performed on the electronic databases of PubMed and Google Scholar (last update: October 2025). A total of 17 tests is reviewed, differing in the test characteristics, i.e. ranging from automatic to controlled processes and varying in ecological validity, the type of stimuli employed, and the abstract dimensions explored. Most studies have focused on neurodegenerative patients, while comparatively few have examined other clinical conditions. The risk of bias of the reviewed studies was assessed using an ad hoc developed instrument. This review highlights the need for future research to extend investigations to additional abstract domains and clinical populations, while also identifying key challenges related to stimulus selection and the determination of the most appropriate assessment framework.
Corrigendum to "The impact of diverse ancestry on polygenic risk score-based prediction models for psychiatric and neurodevelopmental disorders" [Psychiatry Research 2026 Oct:364:117322].
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