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Thermosensitive hydrogel doped with osteoconductive fillers for the treatment of : from synthesis to clinical trial. | LitMetric

AI Article Synopsis

  • - A chitosan-based thermosensitive hydrogel (CH) enriched with hydroxyapatite (HAp) and poly(lactic acid) (PLDLLA) was developed to promote bone regeneration while exhibiting antimicrobial properties.
  • - The modified hydrogels showed enhanced mechanical strength and confirmed non-cytotoxicity in tests with osteoblast-like cells, making them suitable for medical applications.
  • - A clinical trial demonstrated the hydrogel's effectiveness in treating chronic inflammation in dental tissues, highlighting its safety and bone-forming capabilities through detailed analysis of pre- and post-surgery imaging.

Article Abstract

Herein, a chitosan-based thermosensitive hydrogel (CH) containing hydroxyapatite (HAp), poly(lactic acid) (PLDLLA) or their mixture is proposed as an innovative, biomimetic composition with antimicrobial and bone-forming properties for guided bone regeneration. The modified hydrogels were synthesized and characterized to verify their suitability for the treatment of . Compared to the unmodified hydrogel, both CH_HAp and CH_PLDLLA revealed improved mechanical properties, as evidenced by rotational rheology. FTIR analysis proved that no chemical interplay existed between the components. All the tested samples displayed no cytotoxicity against osteoblast-like cell culture and confirmed antimicrobial features, both crucial from an application perspective. Radiation sterilization dosage was tailored for the tested samples to maintain sterility for a minimum of 8 weeks of storage and limit crosslinking of the samples. Finally, the hydrogel was used in a clinical trial to treat a patient with chronic inflammation of periapical tissues in teeth 26 and 27. The medical procedure proved the safety, nontoxicity, non-allergenicity, and, most importantly, bone-forming properties of the hydrogel formulation. The kinetics of new bone formation was analyzed in-depth using graphical cross-sections of anatomical structures obtained from pre- and post-operative CBCT scans.

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Source
http://dx.doi.org/10.1039/d4bm00927dDOI Listing

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