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Record W2088776598 · doi:10.1038/ijos.2014.46

Oral microbiota and host innate immune response in bisphosphonate-related osteonecrosis of the jaw

2014· article· en· W2088776598 on OpenAlexfundno aff
Smruti Pushalkar, Xin Li, Zoya Kurago, Lalitha Ramanathapuram, Satoko Matsumura, Kenneth E. Fleisher, Robert Glickman, Wenbo Yan, Yihong Li, Deepak Saxena

Bibliographic record

VenueInternational Journal of Oral Science · 2014
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
FundersNational Institute of Dental and Craniofacial ResearchNational Cancer InstituteNational Institutes of HealthYork University
KeywordsOsteonecrosis of the jawPathogenesisBiologyInnate immune systemCathelicidinImmune systemMicrobiologyImmunologyMedicinePathologyBisphosphonate

Abstract

fetched live from OpenAlex

Bacterial biofilms have emerged as potential critical triggers in the pathogenesis of bisphosphonate (BP)-related osteonecrosis of the jaw (ONJ) or BRONJ. BRONJ lesions have shown to be heavily colonized by oral bacteria, most of these difficult to cultivate and presents many clinical challenges. The purpose of this study was to characterize the bacterial diversity in BRONJ lesions and to determine host immune response. We examined tissue specimens from three cohorts (n=30); patients with periodontal disease without a history of BP therapy (Control, n=10), patients with periodontal disease having history of BP therapy but without ONJ (BP, n=5) and patients with BRONJ (BRONJ, n=15). Denaturing gradient gel electrophoresis of polymerase chain reaction (PCR)-amplified 16S rRNA gene fragments revealed less bacterial diversity in BRONJ than BP and Control cohorts. Sequence analysis detected six phyla with predominant affiliation to Firmicutes in BRONJ (71.6%), BP (70.3%) and Control (59.1%). Significant differences (P<0.05) in genera were observed, between Control/BP, Control/BRONJ and BP/BRONJ cohorts. Enzyme-linked immunosorbent assay (ELISA) results indicated that the levels of myeloperoxidase were significantly lower, whereas interleukin-6 and tumor necrosis factor-alpha levels were moderately elevated in BRONJ patients as compared to Controls. PCR array showed significant changes in BRONJ patients with downregulation of host genes, such as nucleotide-binding oligomerization domain containing protein 2, and cathepsin G, the key modulators for antibacterial response and upregulation of secretory leukocyte protease inhibitor, proteinase 3 and conserved helix–loop–helix ubiquitous kinase. The results suggest that colonization of unique bacterial communities coupled with deficient innate immune response is likely to impact the pathogenesis of ONJ. Decreased immune response and colonization by certain bacteria may increase risk of bisphosphonate-related osteonecrosis of the jaw (BRONJ). Deepak Saxena of the New York University College of Dentistry, USA, and colleagues have shown that cancer patients who have been treated with bisphosphonates to reduce bone loss can, paradoxically, experience localized bone loss from the jaw. In a study of 30 oral surgery patients, Saxena and colleagues used a genetic approach to identify oral bacteria in BRONJ lesions and compared the immune responses of BRONJ patients and controls. BRONJ patients showed decreased immune response and more frequent colonization by opportunistic pathogens such as Parvimonas, Fusobacterium, Eubacterium besides, Streptococcus onto the BP-bound bone contributing to jaw necrosis. Some unnamed or uncultured bacteria were only found in BRONJ and bisphosphonate-treated patients. This study of the relationship between microbial colonization and immune response provides insights into the disease process in BRONJ.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.304
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations76
Published2014
Admission routes1
Has abstractyes

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