The synergistic union of nanomaterials with biomaterials has revolutionized synthetic chemistry, enabling the creation of nanomaterial-based biohybrids with distinct properties for biomedical applications. This class of materials has drawn significant scientific interest from the perspective of functional extension controllable coupling of synthetic and biomaterial components, resulting in enhancement of the chemical, physical, and biological properties of the obtained biohybrids. In this review, we highlight the forefront materials for the combination with biomacromolecules and living organisms and their advantageous properties as well as recent advances in the rational design and synthesis of artificial biohybrids. We further illustrate the incredible diversity of biomedical applications stemming from artificially bioaugmented characteristics of the nanomaterial-based biohybrids. Eventually, we aim to inspire scientists with the application horizons of the exciting field of synthetic augmented biohybrids.
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http://dx.doi.org/10.1021/acsnano.0c10144 | DOI Listing |
Curr Obes Rep
January 2025
Metabolism and Body Composition, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Background: Recent technological advances have introduced novel methods for measuring body composition, each with unique benefits and limitations. The choice of method often depends on the trade-offs between accuracy, cost, participant burden, and the ability to measure specific body composition compartments.
Objective: To review the considerations of cost, accuracy, portability, and participant burden in reference and emerging body composition assessment methods, and to evaluate their clinical applicability.
Biomacromolecules
January 2025
College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, PR China.
Biomolecular motors are dynamic systems found in organisms with high energy conversion efficiency. FF-ATPase is a rotary biomolecular motor known for its near 100% energy conversion efficiency. It utilizes the synthesis and hydrolysis of ATP to induce conformational changes in motor proteins, thereby converting chemical energy into mechanical motion.
View Article and Find Full Text PDFSmall
January 2025
Nanotechnology and Bio-Engineering Research Group, Atlantic Technological University, ATU Sligo, Ash Lane, Sligo, F91 YW50, Ireland.
The rising demand for efficient energy storage in flexible electronics is driving the search for materials that are well-suited for the fabrication of these devices. Layered Double Hydroxides (LDHs) stand out as a remarkable material with a layered structure that embodies exceptional electrochemical properties. In this study, both double-shelled and single-shelled NiFe-Layered Double Hydroxide (LDH) particles are prepared using spindle-shaped MIL-101(Fe) as the template.
View Article and Find Full Text PDFSmall Methods
January 2025
Dept. Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK.
The integration of Machine Learning (ML) with super-resolution microscopy represents a transformative advancement in biomedical research. Recent advances in ML, particularly deep learning (DL), have significantly enhanced image processing tasks, such as denoising and reconstruction. This review explores the growing potential of automation in super-resolution microscopy, focusing on how DL can enable autonomous imaging tasks.
View Article and Find Full Text PDFMol Ther
January 2025
Nucleic Acid Chemistry and Engineering Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904 0495, Japan. Electronic address:
Transgene expression in stem cells is a powerful means of regulating cellular properties and differentiation into various cell types. However, existing vectors for transgene expression in stem cells suffer from limitations such as the need for genomic integration, the transient nature of gene expression, and the inability to temporally regulate transgene expression, which hinder biomedical and clinical applications. Here we report a new class of RNA virus-based vectors for scalable and integration-free transgene expression in mouse embryonic stem cells (mESCs).
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