Evidence map›Paper›PMID 40518644›Full record

ArticleACS nano2025

Exploring the Impact of Biotic and Abiotic Surfaces on Protein Binding Modulation and Bacteria Attachment: Integrating Biological and Mathematical Approaches.

João Gabriel S Souza, Martinna Bertolini, Jett Liu, Bruna Egumi Nagay, Rodrigo Martins, Raphael C Costa, Jason Cory Brunson, Jamil Shibli, Luciene Cristina Figueiredo, Anna Dongari-Bagtzoglou and 3 more

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Article
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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

13 authors.

João Gabriel S SouzaDental Research Division, Universidade Universus Veritas Guarulhos, Guarulhos, São Paulo 07023-070, Brazil.ORCID 0000-0001-5944-6953
Martinna BertoliniDepartment of Periodontics and Preventive Dentistry, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Jett LiuDepartment of Microbiology, ADA Forsyth Institute, Cambridge, Massachusetts 02142, United States.
Bruna Egumi NagayDepartment of Prosthodontics and Periodontology, Piracicaba Dental School, Universidade Estadual de Campinas (UNICAMP), Piracicaba, São Paulo 13414-903, Brazil.
Rodrigo MartinsDental Research Division, Universidade Universus Veritas Guarulhos, Guarulhos, São Paulo 07023-070, Brazil.
Raphael C CostaDepartment of Prosthodontics and Periodontology, Piracicaba Dental School, Universidade Estadual de Campinas (UNICAMP), Piracicaba, São Paulo 13414-903, Brazil.
Jason Cory BrunsonDepartment of Pulmonary Systems Medicine, University of Florida, Gainesville, Florida 32610, United States.
Jamil ShibliDental Research Division, Universidade Universus Veritas Guarulhos, Guarulhos, São Paulo 07023-070, Brazil.
Luciene Cristina FigueiredoDental Research Division, Universidade Universus Veritas Guarulhos, Guarulhos, São Paulo 07023-070, Brazil.
Anna Dongari-BagtzoglouDepartment of Oral Health and Diagnostic Sciences, University of Connecticut Health Center, Farmington, Connecticut 06030, United States.
Magda FeresDepartment of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts 02115, United States.
Valentim Adelino Ricardo BarãoDepartment of Prosthodontics and Periodontology, Piracicaba Dental School, Universidade Estadual de Campinas (UNICAMP), Piracicaba, São Paulo 13414-903, Brazil.ORCID 0000-0002-6391-9917
Batbileg BorDepartment of Microbiology, ADA Forsyth Institute, Cambridge, Massachusetts 02142, United States.

Funding

Skeletal, Craniofacial and Oral Biology Training GrantT90DE021989 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MINA, MINA · 2011 to 2022
$4.5M
NIDCR NIH HHS T90 DE021989
6 · The paper itself

Abstract

The oral environment is composed of a diverse array of proteins, and any substrate inserted into this habitat promptly becomes subjected to protein adsorption and bacterial colonization. However, the predictive and modulatory nature of implant surfaces coated with salivary pellicle proteomes in microbial adhesion has not been explored using high-throughput techniques. Thus, using human saliva for salivary pellicle adsorption and microbial accumulation, we compared adsorption and community formation on titanium (Ti) biomaterials (implant devices) and dental surfaces (enamel and dentine). The proteomic profile was evaluated by liquid chromatography coupled with tandem mass spectrometry, and the microbiome was assessed using 16S RNA sequencing. Linear discriminant analysis (LDA) and canonical correlation analysis (CCA) were used to quantify variation in analyte amounts and identify likely biomarkers. Substrates were analyzed regarding their physical, chemical, and topographical properties. Our results showed that the salivary pellicle proteomes on Ti exhibited differences in composition and protein intensities compared with dental surfaces. These differences in proteomes affected the biological processes at the level of microbiome accumulation. Geometric analysis showed greater similarity between Ti and enamel proteomes, while dentine differed markedly. Ti harbors a microbiome community that differs from that of dental surfaces. Canonical correlation analysis (CCA) pinpointed proteins that promoted or inhibited the adherence of specific microbes. Apolipoprotein E showed a strong negative correlation (>0.8) with

Indexed as

Bacterial AdhesionAdsorptionBiocompatible MaterialsDental PellicleHumansMicrobiotaProtein BindingProteomeProteomicsSalivaSurface PropertiesTitaniumBiocompatible MaterialsProteomeTitaniumbiofilm-related infectionsimplant devicemicrobiomeproteomicsurface adsorptiontooth

Identifiers

PMID40518644
PMCPMC12224314

What OpenQuestion holds

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LicenceCC BY
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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.