Evidence Hub

Antibody Administration for Bone Tissue Engineering: A Systematic Review

Hosseinpour S, Rad MR, Khojasteh A, Zadeh HH

Current stem cell research & therapy, 2018

Abstract

BACKGROUND: Currently, antibodies are progressively applied in medicine for different purposes, including diagnostic and therapeutic indications. Over twenty monoclonal antibodies utilized for many therapeutic reasons from therapy of cancers, immune disorders, and osteoporosis to localized bony defects. In addition, therapeutic antibodies represented various findings in bone tissue engineering.

OBJECTIVES: The current study aims to systematically review the available literature on antibody assisted bone regeneration in animal models.

METHODS: A through electronic search was conducted from January 1992 to June 2017 limited to English language publications on administrations of antibodies for bone regeneration. Data extraction was ere performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

RESULTS: Twenty studies were selected and analyzed in this systematic review. Among these studies, six articles reported in vitro results in addition to in vivo evaluations. The data is tabulated according to the route of administrations as locally administrated antibody which includes anti-bone morphogenetic protein 2 (anti-BMP2) and systemic administrated antibodies, which include anti-sclerostin and anti- Dickkopf-1 (DKK1). Data are summarized and reported by the following variables: Type of study, types of cells for in vitro investigations, types of animal models and defects characteristics, types of scaffolds used in the defect site,…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free