The Effect of Ionizing Radiation on the Oral Innate Immune Response, Oral Microbiome and the Quality of Life in Patients Undergoing Head and Neck Intensity−modulated Radiotherapy for the Treatment of Head and Neck Tumours
Bibliographic record
Abstract
Radiotherapy (RT) to the head and neck region has devastating and life altering effects. Using the Modified Delphi Technique, guidelines were reached and developed in which radiation dose at which participants would prophylactically remove teeth to prevent osteoradionecrosis (ORN) was established at 70 Grays (Gy) in the maxilla and 60 Gy in the mandible. Treatment pathways were developed for maxillary and mandible anterior/premolar and molar teeth receiving a dose at or above this threshold. Risk factors were established for carious, periodontally involved and third molar teeth. In general, periodontally involved teeth and mandibular molars were most frequently recommended for extraction. Only symptomatic third molars were recommended for extraction when adequate healing time was available prior to commencement of RT. Clinicians can recognize, anticipate and possibly reduce the risk of oral complications associated to RT to the head and neck region. However, the use of potential biomarkers in the form of oral innate immune cells and oral microbiome to potentially predict the development and progression and possibly to treat RT induced oral complications has not been thoroughly investigated and thus not well understood. The role of oral polymorphonuclear leukocytes/oral neutrophils (oPMNs), and the oral microbiome before, during and post−RT and their interaction with one another has not been extensively studied to be used as potential biomarkers in the development and progression of oral complications associated with RT treatment. When controlling for all relevant factors, intensity-modulated RT was found to decrease both the number of oPMNs post−RT as well as impair oPMN activation (priming) states through statistically significant decreases in the oPMN markers CD11b, CD16, CD18, CD64 and H3Cit. Exposure to RT can cause significant alterations in the oral microbiome by reducing the relative abundance of commensal Gram-negative microbes and increasing the commensal Gram-positive microbes. The University of Washington Quality of Life Questionnaire version 4 (UW−QoL) was administered prospectively before and during RT. Taste, saliva and swallowing scores worsened during and post-RT. The results of this study suggest that RT impairs the load and function of critical oPMN markers as well as shifting the oral microflora and contributing to poorer patient self-reported QoL.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".