Hyaluronic Acid‐Based Reactive Oxygen Species‐Responsive Multifunctional Injectable Hydrogel Platform Accelerating Diabetic Wound Healing

Advanced Healthcare Materials, Journal Year: 2023, Volume and Issue: 13(4)

Published: Nov. 9, 2023

Diabetic wounds are more likely to develop into complex and severe chronic wounds. The objective of this study is assess a reactive oxygen species (ROS)-responsive multifunctional injectable hydrogel for the purpose diabetic wound healing. A (HA@Cur@Ag) successfully synthesized with dual antioxidant, antibacterial, anti-inflammatory properties by crosslinking thiol hyaluronic acid (SH-HA) disulfide-bonded hyperbranched polyethylene glycol (HB-PBHE) through Michael addition; while, incorporating curcumin liposomes silver nanoparticles (AgNPs). HA@Cur@Ag exhibits favorable biocompatibility, degradability, injectivity. outcomes in vitro vivo experiments demonstrate that can effectively be loaded release liposomes, as well ions, thereby facilitating healing multiple mechanisms, including ROS scavenging, bactericidal activity, effects, promotion angiogenesis. Transcriptome sequencing reveals suppresses activation tumour necrosis factor (TNF)/nuclear κB (NF-κB) pathway ameliorate oxidative stress inflammation These findings suggest ROS-responsive hydrogel, which possesses ability precisely coordinate integrate intricate biological molecular processes involved healing, notable potential expediting

Language: Английский

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Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity Relationship Approaches

Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: 6(4)

Published: Feb. 14, 2024

The escalating use of novel chemicals and nanomaterials (NMs) across diverse sectors underscores the need for advanced risk assessment methods to safeguard human health environment. Traditional labor‐intensive approaches have given way computational methods. This review integrates recent developments in chemical nano‐quantitative structure‐activity relationship (QSAR) with machine learning modeling, offering a comprehensive predictive NMs chemicals. It explores nanodescriptors, their role predicting toxicity, amalgamation algorithms nano‐QSAR improved accuracy. article also investigates modeling techniques like molecular dynamics simulations, docking, mechanics/quantum mechanics physical properties. By consolidating these approaches, advocates more accurate efficient means assessing risks associated NMs/chemicals, promoting safe utilization minimizing adverse effects on A valuable resource researchers practitioners, informed decision‐making, advancing our understanding potential risks, is facilitated. Beyond studying systems at various scales, data from sources, enhancing accuracy fostering NMs/chemicals while impact

Language: Английский

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Harmonization Risks and Rewards: Nano-QSAR for Agricultural Nanomaterials

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(6), P. 2835 - 2852

Published: Feb. 5, 2024

This comprehensive review explores the emerging landscape of Nano-QSAR (quantitative structure–activity relationship) for assessing risk and potency nanomaterials in agricultural settings. The paper begins with an introduction to Nano-QSAR, providing background rationale, explicitly states hypotheses guiding review. study navigates through various dimensions nanomaterial applications agriculture, encompassing their diverse properties, types, associated challenges. Delving into principles QSAR nanotoxicology, this article elucidates its application evaluating safety nanomaterials, while addressing unique limitations posed by these materials. narrative then transitions progression context exemplified insightful case studies that highlight both strengths inherent methodology. Emerging prospects hurdles tied agriculture are rigorously examined, casting light on important pathways forward, existing constraints, avenues research enhancement. Culminating a synthesis key insights, underscores significance shaping future nanoenabled agriculture. It provides strategic guidance steer forthcoming endeavors dynamic field.

Language: Английский

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Navigating regulatory challenges in molecularly tailored nanomedicine

Published: April 25, 2024

Nanomedicine, a convergence of nanotechnology and medical sciences, has unleashed transformative potential in healthcare. However, harnessing the benefits nanomedicine requires thorough understanding its regulatory landscape. An in-depth discussion considerations, including molecular safety assessment, harmonization landscape, shaping future innovation, is presented this discourse. The assessment entails evaluating interactions between nanoparticles biomolecules, ensuring compatibility at level. Harmonization involves developing international standards guidelines for consistent approach, while innovations emphasizes integrating assessments into early stages development. Challenges encompass need standardized methods, balancing innovation with safety, addressing unique features novel designs. As landscape evolves, effective strategies must navigate intricate interplay molecules technologies, both patient access product safety.

Language: Английский

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Harnessing the power of bacterial laccases for xenobiotic degradation in water: A 10-year overview

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 918, P. 170498 - 170498

Published: Feb. 1, 2024

Language: Английский

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Journey of micronanoplastics with blood components

RSC Advances, Journal Year: 2023, Volume and Issue: 13(45), P. 31435 - 31459

Published: Jan. 1, 2023

Micronanoplastics (MNPs) interact with blood components, resulting in anemia, cardiovascular diseases, etc. Research gaps include toxic impacts of real-world MNPs, monomers, co-pollutants complex, and so on, emphasizing the need for more research.

Language: Английский

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A Multifunctional Herb‐Derived Glycopeptide Hydrogel for Chronic Wound Healing

Small, Journal Year: 2024, Volume and Issue: unknown

Published: April 30, 2024

Chronic wounds constitute an increasingly prevalent global healthcare issue, characterized by recurring bacterial infections, pronounced oxidative stress, compromised functionality of immune cells, unrelenting inflammatory reactions, and deficits in angiogenesis. In response to these multifaceted challenges, the study introduced a stimulus-responsive glycopeptide hydrogel constructed oxidized Bletilla striata polysaccharide (OBSP), gallic acid-grafted ε-Polylysine (PLY-GA), paeoniflorin-loaded micelles (MIC@Pae), called OBPG&MP. The emulates structure glycoprotein fibers extracellular matrix (ECM), exhibiting exceptional injectability, self-healing, biocompatibility. It adapts responsively microenvironment chronic wounds, sequentially releasing therapeutic agents eradicate infection, neutralize reactive oxygen species (ROS), modulate macrophage polarization, suppress inflammation, encourage vascular regeneration ECM remodeling, playing critical role across inflammatory, proliferative, remodeling phases wound healing. Both vitro vivo studies confirmed efficacy OBPG&MP regulating enhancing skin tissue. This research supports vast potential for herb-derived multifunctional hydrogels tissue engineering regenerative medicine.

Language: Английский

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Sustainable bioinspired materials for regenerative medicine: balancing toxicology, environmental impact, and ethical considerations

Biomedical Materials, Journal Year: 2024, Volume and Issue: 19(6), P. 060501 - 060501

Published: Oct. 10, 2024

The pursuit of sustainable bioinspired materials for regenerative medicine demands a nuanced balance between scientific advancement, ethical considerations, and environmental consciousness. This abstract encapsulates comprehensive perspective paper exploring the intricate dynamics toxicology, impact, concerns within realm materials. As landscape evolves, ensuring biocompatibility safety these emerges as pivotal challenge. Our delves into multidimensional aspects toxicity assessment, encompassing cytotoxicity, genotoxicity, immunotoxicity analyses. Additionally, we shed light on complexities evaluating impact materials, discussing methodologies such life cycle biodegradability testing, design approaches. Amid endeavors, emphasize paramount importance considerations in material development, navigating web international regulations frameworks guiding medical Furthermore, our underscores envisioned future directions challenges toxicology techniques, computational modeling, holistic evaluation, aiming understanding synergistic interplay stewardship, deliberation.

Language: Английский

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The Role of AI in Drug Discovery

ChemBioChem, Journal Year: 2024, Volume and Issue: 25(14)

Published: May 13, 2024

The emergence of Artificial Intelligence (AI) in drug discovery marks a pivotal shift pharmaceutical research, blending sophisticated computational techniques with conventional scientific exploration to break through enduring obstacles. This review paper elucidates the multifaceted applications AI across various stages development, highlighting significant advancements and methodologies. It delves into AI's instrumental role design, polypharmacology, chemical synthesis, repurposing, prediction properties such as toxicity, bioactivity, physicochemical characteristics. Despite promising advancements, also addresses challenges limitations encountered field, including data quality, generalizability, demands, ethical considerations. By offering comprehensive overview discovery, this underscores technology's potential significantly enhance while acknowledging hurdles that must be overcome fully realize its benefits.

Language: Английский

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AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability

Frontiers in Toxicology, Journal Year: 2024, Volume and Issue: 6

Published: Nov. 26, 2024

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards risks associated with chemical exposures. In recent years, convergence of artificial intelligence (AI), machine learning (ML), omics technologies has revolutionized field assessment, offering new insights into toxicity mechanisms, predictive modeling, management strategies. This perspective review explores synergistic AI/ML deciphering clastogen-induced genomic instability for carcinogenic prediction. We provide an overview key findings, challenges, opportunities integrating highlighting successful applications case studies across diverse sectors. From predicting genotoxicity mutagenicity to elucidating molecular pathways underlying carcinogenesis, integrative approaches offer comprehensive framework understanding exposures mitigating risks. Future perspectives advancing cancer prevention through data integration, advanced techniques, translational research, policy implementation are discussed. By implementing capabilities technologies, researchers policymakers can enhance protection, inform regulatory decisions, promote sustainable development healthier future.

Language: Английский

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