Overcoming functional challenges in autologous and engineered fat grafting trends.

Trends Biotechnol

Christchurch Regenerative Medicine and Tissue Engineering (CReaTE) Group, Department of Orthopaedic Surgery and Musculoskeletal Medicine, University of Otago Christchurch, Christchurch 8011, New Zealand; New Zealand Medical Technologies Centre of Research Excellence (MedTech CoRE), Auckland, New Zealand. Electronic address:

Published: January 2022

Autologous fat grafting offers significant promise for the repair of soft tissue deformities; however, high resorption rates indicate that engineered solutions are required to improve adipose tissue (AT) survival. Advances in material development and biofabrication have laid the foundation for the generation of functional AT constructs; however, a balance needs to be struck between clinically feasible delivery and improved structural integrity of the grafts. A new approach combining the objectives from both the clinical and research communities will assist in developing morphologically and genetically mature AT constructs, with controlled spatial arrangement and increased potential for neovascularization. In a rapidly progressing field, this review addresses research in both the preclinical and bioengineering domains and assesses their ability to resolve functional challenges.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.tibtech.2021.04.006DOI Listing

Publication Analysis

Top Keywords

functional challenges
8
fat grafting
8
overcoming functional
4
challenges autologous
4
autologous engineered
4
engineered fat
4
grafting trends
4
trends autologous
4
autologous fat
4
grafting offers
4

Similar Publications

Combination therapy, which involves using multiple therapeutic modalities simultaneously or sequentially, has become a cornerstone of modern cancer treatment. Graphene-based nanomaterials (GBNs) have emerged as versatile platforms for drug delivery, gene therapy, and photothermal therapy. These materials enable a synergistic approach, improving the efficacy of treatments while reducing side effects.

View Article and Find Full Text PDF

Two-Dimensional Materials for Brain-Inspired Computing Hardware.

Chem Rev

January 2025

Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.

Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.

View Article and Find Full Text PDF

Objective: The objective of this study is to define the neuropsychiatric challenges including developmental delay, cognitive impairment and psychiatric illness faced by children with perinatally acquired HIV.

Data Sources: Nine databases were searched on 30/05/2023: MEDLINE, Embase, and PsycINFO (all via Ovid SP); CINAHL and Child Development and Adolescent Studies (via EBSCO); the Web of Science Core Collection; Scopus; ProQuest Dissertations and Theses Global; and WHO Global Index Medicus. No limits were applied.

View Article and Find Full Text PDF

Parkinson's disease (PD) is a prevalent and challenging neurodegenerative disorder, and may involve impaired autophagy. Nuclear factor erythroid-2-related factor 2 (Nrf2) is crucial for regulating autophagy-related genes, maintaining cellular homeostasis. Electroacupuncture (EA), a complementary and alternative therapy for PD, has gained widespread clinical application.

View Article and Find Full Text PDF

A key goal of biology is to understand the origin of the many cell types that can be observed during diverse processes such as development, regeneration, and disease. Single-cell RNA-sequencing (scRNA-seq) is commonly used to identify cell types in a tissue or organ. However, organizing the resulting taxonomy of cell types into lineage trees to understand the origins of cell states and relationships between cells remains challenging.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!