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Children’s Diet Quality Influenced by Fathers’ Teenage Eating Habits

  • A study reveals that a father's dietary habits during adolescence can significantly influence their children's eating behaviors years later, shifting the focus of childhood nutrition from mothers alone to paternal influences.
  • The research analyzed data from 669 adult men linking their adolescent dietary patterns to current parenting styles regarding their young children's diet, emphasizing intergenerational nutritional transmission.
  • Participants' adolescent diets were categorized based on Healthy Eating Index (HEI) scores, showing that fathers who improved their diet quality during adolescence were more likely to model healthy eating behaviors for their children.
  • Children of fathers with improved adolescent diets were more likely to meet recommended intakes of fruits and vegetables, indicating the long-lasting impact of early dietary habits on familial eating patterns and child health outcomes.
  • The research underscores the role of fathers in shaping children's dietary behaviors through positive food values and structured guidance on healthy eating, challenging the maternal-centric approach to childhood nutrition.
  • Dr. Mariane H. De Oliveira highlights the importance of including fathers in intervention strategies to address nutritional disparities and improve childhood nutrition based on paternal influences.
  • Although the study had demographic limitations, future research is needed to explore these dynamics in diverse populations and investigate the influence of maternal dietary habits on family nutrition.
  • The study emphasizes the critical window of adolescence for establishing positive dietary patterns, suggesting that stakeholders can design targeted interventions to improve health trajectories for individuals and their future offspring.
  • The presentation of these findings at NUTRITION 2025 indicates a growing recognition of paternal roles in nutritional science and the importance of interdisciplinary approaches to address nutritional challenges at familial and population levels.
  • In conclusion, this research expands understanding of dietary habit transmission within families, highlighting adolescent dietary improvements as crucial for effective fathering practices in nutrition and promoting healthier childhood nutrition.

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Advancing Multispecies Justice via Capability-Based Nature Solutions

  • A study published in npj Urban Sustainability proposes a capability-based framework for achieving multispecies justice through nature-based solutions in urban environments.
  • The capability approach emphasizes promoting the flourishing of all species within urban landscapes, challenging anthropocentric urban policies that prioritize human interests.
  • The framework advocates for inclusive governance structures that recognize nonhuman voices and ensure the expansion of freedoms and capabilities for diverse species.
  • Authors blend insights from ecology, political theory, and environmental justice to advocate for a paradigm shift in urban sustainability towards multispecies flourishing.
  • It calls for evaluating urban projects based on their impact on multiple species' capabilities, such as habitat connectivity and ecological processes that support various organisms.
  • The study discusses challenges in operationalizing multispecies justice within existing urban governance systems and suggests innovative policy instruments and adaptive structures.
  • By emphasizing justice as a relational concept and centering on the capability approach, the study highlights the need for equitable distribution of ecological freedoms across species.
  • The research explores how cultural narratives influence urban nature perceptions and governance priorities, advocating for inclusive engagement and environmental education.
  • Case studies demonstrate practical applications of multispecies justice, including green corridors for wildlife movement and pollinator-friendly gardens in urban spaces.
  • The capability approach presents a transformative agenda for urban sustainability, urging a reimagining of cities as habitats where human and nonhuman lives can thrive together.

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Deep Learning Identifies Additive Manufacturing Sources from Photos

  • Researchers have developed a methodology using deep learning to identify the source of 3D-printed objects from images.
  • The AI system can recognize unique features of different printers from high-resolution photos, aiding in source attribution.
  • A diverse dataset of 3D printer images was used to train the model, ensuring generalization across various technologies.
  • Convolutional neural networks were integrated for spatial feature recognition, enhancing model accuracy and performance.
  • The framework enables supply chain verification, intellectual property protection, and quality assurance in additive manufacturing.
  • AI-driven source identification enhances transparency and trust in critical sectors like aerospace and healthcare.
  • The study highlights the fusion of physical manufacturing processes with AI analysis for enhanced process control.
  • Ethical considerations around privacy and data protection were addressed in the implementation of the technology.
  • The lightweight model design allows for practical deployment in remote manufacturing and inspection settings.
  • Future research aims to extend source identification capabilities to diverse materials and manufacturing processes.

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Turning Food Waste into 3D Printing Biopolymers

  • 3D printing technology is being used to transform food loss and waste into valuable biopolymers, offering sustainable solutions and novel applications in biofabrication.
  • Bioinks, made from food waste-derived biopolymers and active compounds, are enabling the production of sustainable food products with enhanced properties.
  • The development of bioinks from food waste involves extracting biomolecules like proteins and fibers to enhance the mechanical properties and nutritional quality of printed items.
  • By connecting food loss and waste valorization to a circular economy model, the strategy minimizes resource input and maximizes output value.
  • 3D-printed food from waste streams can offer functional benefits through the retention of natural compounds like antioxidants and vitamins, aligning with global sustainability goals.
  • Challenges include addressing the heterogeneity of food waste for industrial 3D printing and ensuring food safety standards and consumer acceptance.
  • The integration of FLW valorization with 3D printing not only reduces environmental impact but also opens new economic opportunities by transforming waste into valuable inputs.
  • The use of bioinks enriched with natural compounds can cater to consumer preferences for personalized nutrition and functional foods.
  • Efforts involving academia, industry, and government collaboration are crucial to maximizing the potential of FLW valorization through 3D printing.
  • Overall, the convergence of food science and 3D bioprinting holds promise for sustainable food production, offering innovative solutions to waste management and food sustainability.

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Deep Learning Predicts Parkinson’s Dyskinesia from PET

  • A groundbreaking study utilized deep learning and neuroimaging to predict levodopa-induced dyskinesia in Parkinson's disease, offering personalized medicine insights.
  • By analyzing [^18F]FP-CIT PET scans with AI algorithms, researchers aimed to forecast movement complications following levodopa therapy.
  • The study's unique approach combined functional imaging with machine learning to identify predictive biomarkers for dyskinesia development.
  • Integration of multimodal data normalization and augmentation enhanced model robustness and predictive accuracy, surpassing traditional methods.
  • Deep learning algorithms revealed distinct dopaminergic transporter patterns predisposing patients to dyskinesia, offering neurobiological insights beyond conventional imaging.
  • Early identification of LID-prone individuals can guide tailored therapeutic strategies, reflecting precision medicine principles.
  • The study showcases AI's potential to revolutionize neurodegenerative disease management through predictive analytics from PET imaging data.
  • While scalability and generalizability require further validation, the framework holds promise for widespread adoption in clinical neurology settings.
  • Future applications could include adaptability to diverse imaging modalities and expansion to larger patient cohorts for enhanced predictive accuracy.
  • This innovative research not only aids in predicting dyskinesia but also paves the way for advancing personalized neurology and early intervention strategies.

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Ivonescimab Sheds Light on NSCLC Immuno-Angiogenesis

  • The landscape of non-small cell lung cancer (NSCLC) treatment has transformed with the advent of ivonescimab, a novel agent integrating immunotherapy and angiogenesis manipulation.
  • NSCLC, a major cause of cancer-related deaths globally, historically had limited treatment options until the emergence of immune checkpoint inhibitors, revealing immune system harnessing potential.
  • Anti-angiogenic agents targeting vascular endothelial growth factor (VEGF) have shown moderate success in NSCLC, highlighting the interconnectedness of angiogenesis and immune evasion in tumor progression.
  • Ivonescimab, a bispecific antibody targeting immune checkpoints and angiogenic factors, aims to disrupt immunosuppressive barriers and vascular support networks in the tumor microenvironment.
  • Preclinical studies indicate that ivonescimab remodels the tumor environment by reducing abnormal blood vessel formation and enhancing immune cell infiltration, resulting in improved immune cell access to cancer cells.
  • Clinical trials have demonstrated improved response rates and prolonged survival with ivonescimab in advanced NSCLC patients, even in those resistant to prior immunotherapies.
  • Ivonescimab's targeted mechanism avoids systemic toxicities associated with broader inhibitors, promoting patient tolerability, critical for advanced cancer treatment regimens.
  • Future research aims to identify predictive biomarkers for ivonescimab responsiveness, optimizing patient selection and therapeutic outcomes in NSCLC.
  • This innovative immuno-angiogenic approach exemplified by ivonescimab reflects a shift towards precision oncology, potentially revolutionizing cancer management beyond NSCLC through integrated therapies.
  • The integration of ivonescimab into clinical practice necessitates careful regimen assessments, considering combinations with existing therapies to maximize efficacy while minimizing toxicities.
  • Ivonescimab symbolizes a new era in cancer therapy, emphasizing the importance of targeting immune evasion and angiogenesis simultaneously for improved NSCLC treatment outcomes and patient quality of life.

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Expanding Push-Pull: Sustainable Farming in Africa

  • Push-pull technology offers sustainable intensification in sub-Saharan Africa by managing pest pressures and improving soil health through intercropping.
  • It uses 'push' plants to repel pests from main crops and 'pull' plants to attract pests away, reducing reliance on synthetic pesticides.
  • Push-pull disrupts pest lifecycles, improves yield outcomes, and addresses issues like striga weed infestation and soil fertility degradation.
  • The technology enhances biodiversity, promotes natural enemy populations, and boosts climate resilience in agricultural systems.
  • Adaptable to smallholder settings, push-pull requires locally available seeds and knowledge, facilitating adoption in East African nations.
  • Scaling push-pull involves adapting to diverse environments and integrating with other sustainable farming practices for optimized impact.
  • Research explores the chemical mechanisms behind push-pull's efficacy for enhancing plant breeding and pest control strategies.
  • Social empowerment, gender-inclusive approaches, and environmental benefits like carbon sequestration are integral to push-pull's success.
  • Challenges in adoption include seed availability, labor inputs, and socioeconomic factors, requiring policy support and tailored training.
  • As a nature-based solution, push-pull aligns with sustainable development goals and holds potential for widespread agricultural transformation in Africa.

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Water, Aquatic Foods Drive Agroecology Food Transformation

  • A prominent study challenges the traditional focus of agroecology on terrestrial aspects, advocating for the integration of water and aquatic foods to drive sustainable food system transformation.
  • The research underscores the vital role of aquatic environments in enhancing food security, ecosystem resilience, and overall sustainability in the face of climate change and agricultural pressures.
  • Aquatic foods, such as fish and algae, offer nutritional benefits with lower environmental impacts compared to terrestrial protein sources, yet they have been overlooked in agroecological discussions until now.
  • The study proposes revising established agroecological principles to incorporate water, aquatic foods, and land-to-seascape interconnections, emphasizing the holistic approach needed for effective food system transformations.
  • Highlighting the interconnectedness of terrestrial and aquatic ecosystems, the paper advocates for cross-sectoral actions that optimize the symbiotic relationships between land and water resources.
  • The inclusion of aquatic foods in agroecology not only diversifies production systems but also promotes sustainable practices, biodiversity conservation, and equitable access to nutrition.
  • The study stresses the importance of interdisciplinary collaboration and inclusive governance mechanisms to achieve integrated land-water management and advance resilient food systems.
  • Efforts to leverage aquatic ecosystems for climate resilience and alternative food sources during crop failures demonstrate the potential of aquatic solutions in mitigating environmental shocks.
  • Through aligning science, policy, and indigenous knowledge, the study envisions a future where agroecology embraces water and aquatic foods for sustainable, nutritious, and socially just food systems.
  • The research calls for enhanced monitoring of aquatic ecosystem functions, advocating for improved metrics and data integration to better assess the contributions of water resources to agroecology.

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Walking Time Limits Access to Urban Ecosystems Worldwide

  • A recent study published in npj Urban Sustainability highlights the impact of walking time on access to urban ecosystems worldwide.
  • Urban ecosystems play a vital role in mitigating pollution, regulating temperature, and supporting biodiversity in cities.
  • The study emphasizes that walking time is a crucial barrier that limits millions from benefiting from green spaces within urban areas.
  • Affluent neighborhoods often have shorter walking distances to green spaces, while marginalized communities face longer treks, leading to spatial inequity.
  • The research uses geospatial modeling techniques to calculate real-world walking times and identifies urban design as a key factor in accessibility.
  • Prolonged walking times to green spaces contribute to sedentary lifestyles and can impact physical and mental health negatively.
  • The study suggests that investments in pedestrian-friendly infrastructure can significantly reduce walking times and make urban ecosystems more inclusive.
  • Technological innovations such as mobile applications and urban sensing technologies are proposed to assist in overcoming walking time constraints.
  • Policy recommendations include integrating pedestrian access metrics into city sustainability frameworks and fostering collaborations across disciplines.
  • The research emphasizes the global applicability of findings and the need for a paradigm shift towards human-scale mobility in urban planning.

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Cell Surface Induced Proximity Sparks New Discoveries

  • Induced proximity, a concept in cellular biology, leverages molecular matchmaking at the cell surface to manipulate protein interactions and cellular processes with high specificity and efficiency.
  • By bridging proteins through induced proximity, novel outcomes such as targeted protein degradation, receptor blockade, and signal activation can be achieved, extending beyond natural cellular functions.
  • The strategic deployment of induced proximity is transforming therapeutic approaches, as seen with the development of proteolysis-targeting chimeras (PROTACs) that modulate cell surface proteins to combat diseases like cancer and immune disorders.
  • Manipulating intracellular signaling cascades via induced proximity offers precise control over cell fate decisions by rewiring signaling networks and cellular responses at a granular level.
  • The design of induced proximity agents necessitates careful considerations of binding affinities, linker lengths, and spatial orientations to ensure selectivity and efficacy in cellular environments.
  • Induced proximity not only holds promise for therapeutic interventions but also serves as a powerful investigative tool to unravel complex signal transduction events and protein network dynamics at the cell surface.
  • The translational potential of induced proximity modalities extends beyond mammalian cells to diverse biological systems, paving the way for revolutionary applications in biotechnology industries and synthetic biology.
  • Integrating induced proximity with advanced technologies like next-generation sequencing and live-cell imaging enables detailed mapping of proximity-dependent signaling landscapes, shedding light on crucial cellular processes.
  • Despite its potential, challenges such as immunogenicity, pharmacokinetics optimization, and cellular delivery barriers need to be addressed to advance the clinical translation of induced proximity-based therapies.
  • In conclusion, induced proximity at the cell surface heralds a new era in molecular medicine and synthetic biology, offering precise modulation of cell-surface proteins with vast therapeutic and investigative implications.

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Tunable TiAl3 Aluminum Composites Revealed by Synchrotron

  • A groundbreaking study unveils a novel approach to fabricating tunable TiAl₃-reinforced aluminum composites using reactive printing.
  • Integrating TiAl₃ directly into an aluminum matrix allows for precise dispersion and morphology, enhancing mechanical properties.
  • Operando synchrotron analysis reveals insights into phase formation and evolution, aiding in optimizing process parameters.
  • Microstructural characterization confirms controlled distribution of reinforcing particles and strong metallurgical bonding.
  • The scalable reactive printing technique reduces waste, optimizes resource utilization, and aligns with sustainable manufacturing practices.
  • Thermodynamic stability studies show that TiAl₃ maintains structural integrity under operational stresses for prolonged component life.
  • The research contributes to understanding reactive phase formation kinetics and offers tunability for spatially graded properties in composites.
  • By overcoming interface challenges, the technique enhances toughness, fatigue resistance, and thermal management capabilities of the composite.
  • Integrating with 3D printing processes could revolutionize part manufacturing with optimized microstructures and multifunctional properties.
  • Multidisciplinary collaboration drives material innovation, while future studies may explore scaling challenges and alloy interactions.

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Energizing Discovery and Clinical Use of Aging Biomarkers

  • A recent publication in Nature Aging by Jacques, Herzog, Ying, and colleagues introduces novel pathways for identifying aging biomarkers, with a focus on clinical application and monitoring of human aging and age-related diseases.
  • Biological age, reflecting physiological decline, demands reliable biomarkers for disease risk prediction and personalized health strategies, prompting the integration of molecular biology, data analytics, and translational medicine.
  • Utilizing multi-omics technologies, the study develops composite biomarker profiles capturing systemic aging processes across various biological scales, supported by machine learning algorithms for robustness and reproducibility.
  • Enhanced epigenetic clocks incorporating mechanistic aging pathways improve age-prediction accuracy, offering insights into biological functions like immune competence and regenerative capacity.
  • The research addresses biomarker standardization for clinical use, emphasizing minimally invasive blood-based panels to forecast age-related diseases and monitor geroprotective interventions, shifting geriatrics towards proactive aging management.
  • Aging biomarkers could expedite drug development by serving as surrogate endpoints, influencing health policy and pharmaceutical innovation, though ethical frameworks are essential to mitigate potential misuse.
  • Open-source tools and datasets support collaborative efforts globally, enhancing reproducibility and transparency, while future advancements in technologies like single-cell multi-omics and wearable sensors promise deeper insights into aging mechanisms.
  • The study's implications extend to revolutionizing epidemiological monitoring in public health, aiding in tailored preventive measures and healthcare system optimization through precision public health strategies.
  • Challenges lie in validating biomarkers across diverse populations to ensure universal applicability and avoid exacerbating health disparities, highlighting the need for ongoing research and validation studies.
  • In conclusion, the study sets a new standard for aging biomarker discovery and translation, offering a comprehensive toolkit for geroscience research that may reshape healthcare paradigms and redefine concepts of disease, wellness, and lifespan.

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Dual Immunotherapy Enhances Progression-Free Survival in Advanced Squamous Cell Skin Cancer: Findings from the Alliance Trial

  • A phase II clinical trial led by the Alliance for Clinical Trials in Oncology demonstrated that combining avelumab and cetuximab significantly enhances progression-free survival in advanced cutaneous squamous cell carcinoma (cSCC).
  • Advanced cSCC poses clinical challenges with limited effective options after initial treatments fail, leading to an estimated annual death toll of 2,000 to 8,000 individuals.
  • Immune checkpoint inhibitors like cemiplimab and pembrolizumab have improved outcomes in advanced cSCC, but some patients still experience progression, prompting the Alliance trial to investigate avelumab and cetuximab combination therapy.
  • The combination leverages complementary mechanisms of avelumab (anti-PD-L1) and cetuximab (anti-EGFR), potentially overcoming resistance mechanisms in advanced cSCC.
  • Results from the study showed a substantial improvement in median progression-free survival with the dual therapy, with a hazard ratio of 0.48 indicating a 52% reduction in the risk of disease progression or death.
  • The combination therapy also demonstrated a favorable trend in overall survival, but statistical significance was not reached due to limited events and sample size.
  • Side effects were more frequent with avelumab plus cetuximab, with rash and infusion-related reactions being the predominant serious adverse events, but manageable with medical intervention.
  • The trial validates the concept that targeting both adaptive and innate immune pathways can enhance tumor control, showcasing a promising avenue for the treatment of advanced cSCC.
  • This collaborative study between the Alliance for Clinical Trials in Oncology and EMD Serono demonstrates the importance of public-private partnerships in advancing cancer therapeutics.
  • The findings open doors for further research on combination immunotherapies in cSCC and other squamous cell malignancies, emphasizing the future of personalized and mechanistically informed cancer care.

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New Findings from Immunotherapy Trial Pave the Way for Advanced Skin Cancer Treatments

  • A phase II clinical trial showcased a significant advancement in treating advanced cutaneous squamous cell carcinoma (cSCC) by combining avelumab with cetuximab, resulting in improved outcomes compared to avelumab alone.
  • The trial, presented at the 2025 ASCO Annual Meeting and published in the Journal of Clinical Oncology, led by Dr. Dan Zandberg, offers a promising new treatment paradigm for this challenging malignancy.
  • Cutaneous squamous cell carcinoma, a common skin cancer with 1.8 million new cases annually in the US, poses challenges in locally advanced or metastatic stages, where treatment options are limited.
  • The Alliance A091802 trial enrolled 57 patients and found that the combination therapy significantly improved progression-free survival compared to avelumab monotherapy.
  • Avelumab inhibits the PD-L1 protein on tumor cells, while cetuximab targets the EGFR receptor, showing synergistic effects in amplifying the immune system's attack on tumor cells.
  • The trial's results suggest a potential shift in advanced cSCC treatment strategies, indicating the need for innovative immunotherapy combinations for better patient outcomes.
  • While the avelumab and cetuximab combination is not yet standard care, it demonstrates significant progression-free survival benefits, prompting further exploration of combining it with approved PD-1 inhibitors.
  • The study emphasizes the importance of understanding immune modulation strategies and the potential for combining EGFR-targeting and immune checkpoint blockade in treating immune-evasive skin cancers.
  • Future research efforts will focus on combining cetuximab with established PD-1 inhibitors to enhance therapeutic options, not only for cSCC but also for other cancers where this approach may prove beneficial.
  • The study's comprehensive collaboration and patient enrollment at UPMC Hillman Cancer Center highlight the ongoing advancements in clinical research for improving cancer treatment outcomes.
  • This trial represents a significant advancement in the field of immuno-oncology, offering new possibilities for patient care and setting the stage for further breakthroughs in cancer immunotherapy.

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Engineering Immune Cells to Fight Cancer

  • Researchers are focusing on innate immune cells like NK cells, macrophages, and γδ T cells for cancer immunotherapy due to their intrinsic antitumor activity and rapid immune activation.
  • NK cells, known for their ability to detect and destroy transformed cells without antigen presentation, face challenges like limited in vivo persistence and tumor microenvironment immunosuppression.
  • Macrophages play a critical role in engulfing cancer cells but often become polarized into protumoral phenotypes within tumors, hindering tumor eradication.
  • Innovative engineering approaches, including CAR technology and signaling pathway modulation, aim to reprogram tumor-associated macrophages for a tumoricidal effect.
  • γδ T cells exhibit rapid response abilities and potent cytotoxicity, but their rarity and functional heterogeneity present barriers to therapeutic exploitation.
  • Advanced genetic engineering techniques are being used to design innate immune cells with enhanced antitumor efficacy, leveraging CRISPR editing, CAR constructs, and cytokine armoring.
  • Challenges in translating engineered innate immune cells to clinical use include ex vivo expansion complexities, tumor microenvironment immunosuppression, and safety concerns.
  • Preclinical studies show promising outcomes with engineered innate immune cells, such as CAR-NK cells and macrophages, in mediating antitumor responses.
  • Clinical trials with CAR-NK cells and macrophage-based therapies are showing initial clinical efficacy, signaling a new era in immuno-oncology.
  • Obstacles to routine clinical integration include manufacturing complexities, personalized therapy approaches, and rigorous monitoring for adverse events.
  • The fusion of synthetic biology with innate immune engineering offers potential for more flexible, durable, and controlled cancer therapies through modular receptor platforms and multifactorial synergy.

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