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Record W3185020083 · doi:10.82308/47200

Cell extracts mitigate irradiation-injured salivary glands

2020· article· en· W3185020083 on OpenAlexfundno aff
Xinyun Su

Bibliographic record

VenueeScholarship@McGill (McGill) · 2020
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchChina Scholarship CouncilMcGill University
KeywordsSalivaCellSalivary glandIrradiationChemistryMedicineBiologyCell biologyImmunologyInternal medicineBiochemistryPhysics

Abstract

fetched live from OpenAlex

ABSTRACTSalivary hypofunction, also known as xerostomia, is a major side effect of radiotherapy for head and neck cancer patients. Current treatments of irradiation (IR)-injured salivary glands (SGs) remain palliative. Our previous studies showed that mouse bone marrow cell extract (BMCE) could restore the secretory function of IR-injured SGs and that native proteins in BMCE were the main effective ingredients for the treatment. However, BMCE therapy requires multiple injections and protein denaturation is a concern during BMCE storage. The first aim of this thesis was to preserve, by lyophilization (freeze-drying), the bioactive factors in BMCE. We developed a method to freeze-dry BMCE and then to analyze its ingredients and functions in vivo. Results showed that the presence of angiogenesis-related factors and cytokines in freeze-dried (FD) BMCE remained comparable to those found in fresh BMCE. Both fresh and FD-BMCE restored comparably saliva production, protected salivary acinar cells, parasympathetic nerves, and blood vessels, increased cell proliferation, upregulated regenerative/repair genes in the irradiation-damaged salivary glands. Lyophilization of BMCE maintained its bioactivity and therapeutic effect on irradiation-injured salivary glands. A mouse bone marrow cell extract could restore salivary secretory function to irradiation-injured mice. However, the components and therapeutic effects of human BMCE remain unknown. In addition, the whole bone marrow consists of heterogeneous cells, including red blood cells (RBCs), granulocytes (GCs), and mononuclear cells (MCs). This increases the complexity of the cell extract and consequently, increases the difficulties in identifying and analyzing the effective proteins in the cell extract. The second aim of this thesis was to test the therapeutic effect of the cell extract from human bone marrow (BMCE) and to test whether the effect observed could be from a specific cell sub-population on IR-injured SGs. Results showed that BMCE and cell extract of RBCs, GCs and MCs (RBCE, GCE, MCE) contained various proteins/growth factors. MCE treatment provided the best therapeutic effect, and BMCE therapy could also restore the function of SGs, while RBCE treatment did not improve the secretory production when compared with the negative control group. Studies suggest that tissue-specific cells may be more suitable for treating their original tissues/organs. Furthermore, the procedure of BM cell harvesting remains invasive and in severe cases, could even lead to life-threatening complications. Therefore, the third objective of this thesis was to test if human labial gland stem cells (LSCs) could be used as an alternate source of cell extract for the repair of IR-injured SGs. Results demonstrated that several angiogenesis-related factors were detected in LSCE. LSCE treatment restored 50%-60% of saliva secretion, protected acinar cells, blood vessels and parasympathetic nerves, promoted cell proliferation, and up-regulated the expression of tissue repair/regeneration proteins and genes. In summary, lyophilization is a reliable approach to preserve the bioactive ingredients of BMCE in a powder form for long-term storage. Human BMCE, GCE and MCE successfully restored IR- induced salivary hypofunction and MCE provided the best therapeutic effect. LSCE was also an effective treatment in repairing irradiated-SG in the mouse model. These treatments showed the clinical potential to mitigate irradiated SGs

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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