Linguistic Analysis Identifies Emergent Biomaterial Fabrication Trends for Orthopaedic Applications

Abstract

The expanse of publications in tissue engineering (TE) and orthopedic TE (OTE) over the past 20 years presents an opportunity to probe emergent trends in the field to better guide future technologies that can make an impact on musculoskeletal therapies. Leveraging this trove of knowledge, a hierarchical systematic search method and trend analysis using connected network mapping of key terms is developed. Within discrete time intervals, an accelerated publication rate for anatomic orthopedic tissue engineering (AOTE) of osteochondral defects, tendons, menisci, and entheses is identified. Within these growing fields, the top-listed key terms are extracted and stratified into evident categories, such as biomaterials, delivery method, or 3D printing and biofabrication. It is then identified which categories decreased, remained constant, increased, or emerged over time, identifying the specific emergent categories currently driving innovation in orthopedic repair technologies. Together, these data demonstrate a significant convergence of material types and descriptors used across tissue types. From this convergence, design criteria to support future research of anatomic constructs that mimic both the form and function of native tissues are formulated. In summary, this review identifies large-scale trends and predicts new directions in orthopedics that will define future materials and technologies.

DEBBIE: The Open Access Database of Experimental Scaffolds and Biomaterials Built Using an Automated Text Mining Pipeline

“…[23][24][25][26] Recently, linguistic analysis methods using PubMed as a source of textual information have been applied to identify emerging trends in biomaterials manufacturing for orthopaedic applications. [27] The development of a structured, specific database for biomaterials offers several advantages to the medical and research community. First, such database would allow subject matter experts, clinicians or even a more general public to easily retrieve information through a web application focused on easing their search, and capable of presenting results in an intuitive, userfriendly manner.…”

“…[ 23–26 ] Recently, linguistic analysis methods using PubMed as a source of textual information have been applied to identify emerging trends in biomaterials manufacturing for orthopaedic applications. [ 27 ]…”

Editorial: Special Issue on biofabrication of cartilage, bone and their interface

“…A recent linguistic analysis identified the biofabrication of osteochondral tissues as a growing field of research in the field of orthopedics [15]. We hope that this special issue highlights many of the important advances that have been made in the field of biofabrication that are enabling the engineering of OC-like tissues.…”

Cell Count and Cell Density Decrease as Age Increases in Cadaveric Pediatric Medial Menisci

“… 20 , 21 , 22 , 23 Three-dimensional printing of human tissues, including the meniscus, is not far in the future; the development and composition of the meniscus, including cell number, density, and cell development must be understood in order to do that properly. 24 , 25 , 26 , 27 …”