Evidence map›Paper›PMID 36825685›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Three-Dimensional Humanized Model of the Periodontal Gingival Pocket to Study Oral Microbiome.

Miryam Adelfio, Zaira Martin-Moldes, Joshua Erndt-Marino, Lorenzo Tozzi, Margaret J Duncan, Hatice Hasturk, David L Kaplan, Chiara E Ghezzi

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Advances in Periodontal Therapy: A Comprehensive Review ofCurrent drug discovery technologies · 2026
    Review
  4. Article
  5. Review
  6. Engineered Tissue Models to Decode Host-Microbiota Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Silk fibroin-based inks forBioactive materials · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Three-Dimensional Humanized Model of the Periodontal Gingival Pocket to Study Oral Microbiome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Miryam AdelfioDepartment of Biomedical Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.ORCID 0000-0001-8293-7355
Zaira Martin-MoldesDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Joshua Erndt-MarinoDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Lorenzo TozziDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Margaret J DuncanDepartment of Microbiology, The Forsyth Institute, Cambridge, MA, 02142, USA.
Hatice HasturkCenter for Clinical and Translational Research, The Forsyth Institute, Cambridge, MA, 02142, USA.
David L KaplanDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Chiara E GhezziDepartment of Biomedical Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.ORCID 0000-0002-9800-4397
Tufts University · USForsyth County Schools · USUniversity of Massachusetts Lowell · US

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
In vitro 3D human gingival tissue model to study oral microbiomeR03DE030224 · NIDCR · UNIVERSITY OF MASSACHUSETTS LOWELL · PI GHEZZI, CHIARA · 2021 to 2023
$607k
NIBIB NIH HHS P41 EB002520NIBIB NIH HHS P41 EB027062NIDCR NIH HHS R03 DE030224NIH HHS
6 · The paper itself

Abstract

The oral cavity contains distinct microenvironments that serve as oral barriers, such as the non-shedding surface of the teeth (e.g., enamel), the epithelial mucosa and gingival tissue (attached gingiva) where microbial communities coexist. The interactions and balances between these communities are responsible for oral tissue homeostasis or dysbiosis, that ultimately dictate health or disease. Disruption of this equilibrium can lead to chronic inflammation and permanent tissue damage in the case of chronic periodontitis. There are currently no experimental tissue models able to mimic the structural, physical, and metabolic conditions present in the human oral gingival tissue to support the long-term investigation of host-pathogens imbalances. Herein, the authors report an in vitro 3D anatomical gingival tissue model, fabricated from silk biopolymer by casting a replica mold of an adult human mandibular gingiva to recreate a tooth-gum unit. The model is based on human primary cultures that recapitulate physiological tissue organization, as well as a native oxygen gradient within the gingival pocket to support human subgingival plaque microbiome with a physiologically relevant level of microbial diversity up to 24 h. The modulation of inflammatory markers in the presence of oral microbiome indicates the humanized functional response of this model and establishes a new set of tools to investigate host-pathogen imbalances in gingivitis and periodontal diseases.

Indexed as

GingivitisMicrobiotaPeriodontal DiseasesAdultGingivaGingival PocketHumanshost-pathogen interactionsmicrobiomenanomanufacturingsilktissue model

Identifiers

PMID36825685
PMCPMC10131835
OpenAlexW4321748677

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.