# Ecological shift of microbiome of oral microcosm biofilms due to resin biodegradation

> **NIH NIH R15** · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · 2020 · $144,968

## Abstract

PROJECT SUMMARY/ABSTRACT
One of the most common reasons for the replacement of dental restorations is recurrent
(secondary) caries at the gingival tooth-restoration interface. Human salivary enzymes such as
esterases hydrolyze dental resins to produce biodegradation products. A two-fold approach is
proposed wherein: 1] the elution of biodegradation products of composite and adhesive resins
will be examined after long-term salivary esterase exposure, and 2] the impact of long-term
salivary esterase exposure on the oral microbiome will be characterized. This proposal offers a
novel in vitro approach that correlates changes in the microbial ecology of oral biofilms grown
on dental adhesive and composite resins under clinically relevant conditions. The methodology
proposed will be beneficial for the testing of future resin composite and adhesive resin
formulations, and could easily be adapted to assess biodegradation in other types of
biomaterials. The proposed project will strengthen the research environment of an educational
institution that has not been a major recipient of NIH funds, which is a goal of the R15 (AREA)
award.

## Key facts

- **NIH application ID:** 10130751
- **Project number:** 3R15DE028448-01S1
- **Recipient organization:** UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
- **Principal Investigator:** Sharukh S Khajotia
- **Activity code:** R15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $144,968
- **Award type:** 3
- **Project period:** 2020-09-10 → 2022-09-09

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10130751

## Citation

> US National Institutes of Health, RePORTER application 10130751, Ecological shift of microbiome of oral microcosm biofilms due to resin biodegradation (3R15DE028448-01S1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10130751. Licensed CC0.

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