Evidence map›Paper›PMID 36938417›Full record

ReviewHeliyon2023

Interactions between silica and titanium nanoparticles and oral and gastrointestinal epithelia: Consequences for inflammatory diseases and cancer.

Cássio Luiz Coutinho Almeida-da-Silva, Leticia Ferreira Cabido, Wei-Chun Chin, Ge Wang, David M Ojcius, Changqing Li

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

6 authors at 3 institutions in 1 country.

Cássio Luiz Coutinho Almeida-da-SilvaDepartment of Biomedical Sciences, University of the Pacific, San Francisco, CA, USA.
Leticia Ferreira CabidoDepartment of Oral and Maxillofacial Surgery, University of the Pacific, San Francisco, CA, USA.
Wei-Chun ChinDepartment of Bioengineering, University of California, Merced, CA, USA.
Ge WangDepartment of Biomedical Engineering, Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
David M OjciusDepartment of Biomedical Sciences, University of the Pacific, San Francisco, CA, USA.
Changqing LiDepartment of Bioengineering, University of California, Merced, CA, USA.
University of the Pacific · USUniversity of California, Merced · USRensselaer Polytechnic Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineered nanoparticles (NPs) composed of elements such as silica and titanium, smaller than 100 nm in diameter and their aggregates, are found in consumer products such as cosmetics, food, antimicrobials and drug delivery systems, and oral health products such as toothpaste and dental materials. They may also interact accidently with epithelial tissues in the intestines and oral cavity, where they can aggregate into larger particles and induce inflammation through pathways such as inflammasome activation. Persistent inflammation can lead to precancerous lesions. Both the particles and lesions are difficult to detect in biopsies, especially in clinical settings that screen large numbers of patients. As diagnosis of early stages of disease can be lifesaving, there is growing interest in better understanding interactions between NPs and epithelium and developing rapid imaging techniques that could detect foreign particles and markers of inflammation in epithelial tissues. NPs can be labelled with fluorescence or radioactive isotopes, but it is challenging to detect unlabeled NPs with conventional imaging techniques. Different current imaging techniques such as synchrotron radiation X-ray fluorescence spectroscopy are discussed here. Improvements in imaging techniques, coupled with the use of machine learning tools, are needed before diagnosis of particles in biopsies by automated imaging could move usefully into the clinic.

Indexed as

CancerCytotoxicityDAMP, damage-assocaited molecular patternEpitheliumFBG, foreign body gingivitisImagingInflammasomeInflammationNanoparticlesNP, nanoparticlePAMP, pathogen-assocaited molecular patternROS, reactive oxygen species

Identifiers

PMID36938417
PMCPMC10020104
OpenAlexW4321768956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.