MétaCan
Menu
Back to cohort
Record W3164332649 · doi:10.21608/adjg.2021.29129.1252

Effect of Bone Marrow Derived-Mesenchymal Stem Cells on Submandibular Salivary Glands of Carbimazole Induced Hypothyroidism in Albino Rats

2021· article· en· W3164332649 on OpenAlexfundno aff
dina el dahrawy, Heba Adawy, Mona Kamal Eldeeb

Bibliographic record

VenueAl-Azhar Dental Journal for Girls · 2021
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersGroupe de recherche interuniversitaire en limnologie
KeywordsCarbimazoleMesenchymal stem cellMedicineSubmandibular glandEndocrinologyInternal medicineBone marrowStem cellSalivary glandMedullary cavityPathologyThyroidGraves' diseaseBiology

Abstract

fetched live from OpenAlex

Purpose: This study was aimed to estimate the effect of bone marrow derived mesenchymal stem cells (BM-MSCs) on the submandibular salivary gland of induced hypothyroidism in rats. Material and Methods: Thirty adult male albino rats weighing between 200-250 grams were used in the present study. The animals were divided into three equal groups: Group I (control group), Group II (carbimazole induced hypothyroidism group): Rats received a daily dose of carbimazole (5mg/250g/day) for 5 weeks, Group III (BM-MSCs treated group): Hypothyroidism was induced similar to group II, then rats were injected with 1x 107 BM-MSCs cells. All Rats were euthanized after 8 weeks (5 weeks of hypothyroidism induction + 3 weeks of stem cells injection). Results: group (II) showed excessive destruction and degenerative changes of the acini and ducts in comparison to group (I), while group (III) revealed marked improvement of the parenchymal elements after BM-MSCs injection. Conclusions: This study supposes that BM-MSCs improve salivary glands damage following induction of hypothyroidism. Therefore, BM-MSCs can be applied as cell-based therapy for restoration of hypothyroid-induced salivary hypofunction.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.080
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.276
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAl-Azhar Dental Journal for GirlsSame topicSalivary Gland Disorders and FunctionsFrench-language works237,207