Biopolymeric polyhydroxyalkanoates (PHAs) are fabricated and accumulated by microbes under unbalanced growth conditions, primarily by diverse genera of bacteria. Over the last two decades, microbially engineered PHAs gained substantial interest worldwide owing to their promising wide-range uses in biomedical field as biopolymeric biomaterials. Because of non-hazardous disintegration products, preferred surface alterations, inherent biocompatibility, modifiable mechanical properties, cultivation support for cells, adhesion devoid of carcinogenic impacts, and controllable biodegradability, the PHAs like poly-3-hydroxybutyrate, 3-hydroxybutyrate and 3-hydroxyvalerate co-polymers, 3-hydroxybutyrate and 4-hydroxybutyrate co-polymers, etc., are available for various medical applications. These PHAs have been exploited to design in vivo implants like sutures as well as valves for direct tissue repairing as well as in regeneration devices like bone graft substitutes, nerve guides as well as cardiovascular patches, etc. Furthermore, they are also emerged as attractive candidates for developing effective/novel drug delivery systems because of their biocompatibility and biodegradability with the ability to deliver and release the drugs at a specific site in a controllable manner and, therefore widen the therapeutic window with reduced side effects. However, there still remain some bottlenecks related to PHA purity, mechanical properties, biodegradability, etc., that are need to be addressed so as to make PHAs a realistic biomaterial. In addition, innovative approaches like PHAs co-production with other value-added products, etc., must be developed currently for economical PHA production. This review provides an insight toward the recent advances, bottlenecks, and potential solutions for prospective biomedical applications of PHAs with conclusion that relatively little research/study has been performed presently toward the viability of PHAs as realistic biopolymeric biomaterials.
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http://dx.doi.org/10.1007/s00253-018-09604-y | 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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