ArticleTissue engineering. Part C, Methods2015
Human oral mucosa tissue-engineered constructs monitored by Raman fiber-optic probe.
Article in Tissue engineering. Part C, Methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Raman spectroscopic modality to examine therapeutic efficacy of Galectin-3 inhibitor in prostate cancer.Biochemical and biophysical research communications · 2025Article
- Unveiling the Molecular Secrets: A Comprehensive Review of Raman Spectroscopy in Biological Research.ACS omega · 2024Review
- Article
- In vivo non-invasive monitoring of tissue development in 3D printed subcutaneous bone scaffolds using fibre-optic Raman spectroscopy.Biomaterials and biosystems · 2022Article
- Noninvasive Optical Assessment of Implanted Tissue-Engineered Construct SuccessTissue engineering. Part C, Methods · 2021Article
- Methamphetamine-induced apoptosis in glial cells examined under marker-free imaging modalities.Journal of biomedical optics · 2019Article
- Online quantitative monitoring of live cell engineered cartilage growth using diffuse fiber-optic Raman spectroscopy.Biomaterials · 2017Article
- Raman spectroscopy and regenerative medicine: a review.NPJ Regenerative medicine · 2017Review
- Real-Time Visualization of Tissue Surface Biochemical Features Derived From Fluorescence Lifetime Measurements.IEEE transactions on medical imaging · 2016Article
- Biochemical indicators of implantation success of tissue-engineered oral mucosa.Journal of dental research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
In maxillofacial and oral surgery, there is a need for the development of tissue-engineered constructs. They are used for reconstructions due to trauma, dental implants, congenital defects, or oral cancer. A noninvasive monitoring of the fabrication of tissue-engineered constructs at the production and implantation stages done in real time is extremely important for predicting the success of tissue-engineered grafts. We demonstrated a Raman spectroscopic probe system, its design and application, for real-time ex vivo produced oral mucosa equivalent (EVPOME) constructs noninvasive monitoring. We performed in vivo studies to find Raman spectroscopic indicators for postimplanted EVPOME failure and determined that Raman spectra of EVPOMEs preexposed to thermal stress during manufacturing procedures displayed correlation of the band height ratio of CH2 deformation to phenylalanine ring breathing modes, giving a Raman metric to distinguish between healthy and compromised postimplanted constructs. This study is the step toward our ultimate goal to develop a stand-alone system, to be used in a clinical setting, where the data collection and analysis are conducted on the basis of these spectroscopic indicators with minimal user intervention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.