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Record W7115029986

Unraveling the novel role of Transglutaminase1 in osteoclastogenesis and bone remodeling

2024· dissertation· en· W7115029986 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2024
Typedissertation
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsnot available
FundersMcGill University
KeywordsBone remodelingExtracellular matrixInflammationBone resorptionTissue remodelingSignal transduction
DOInot available

Abstract

fetched live from OpenAlex

Osteoclasts are multinucleated, large bone-resorbing cells derived from monocyte-macrophage precursors and are a major drug target cell for osteoporosis. Our research and that of others have demonstrated that transglutaminase enzyme activity from all or one of the three TGs; TG2, FXIII-A, and TG1, regulate osteoclast differentiation and bone remodeling. In vivo and in vitro studies on Tgm2–/–; F13a1–/– and Tgm2–/– mice revealed increased osteoclastogenesis and a significant loss of bone mass. However, the role of TG1 in osteoclast and bone remain poorly understood. First, I report that the increased osteoclastogenesis in Tgm2–/– can be reversed by a TG inhibitor, NC9, highlighting the involvement of TG1, whose activity was increased in the absence of TG2, while FXIII-A activity remained unchanged. Moreover, my findings show that aspartate proteases like Cathepsin D activate TG1. Inhibition of osteoclastogenesis and reduction in TG1 activity were observed in Tgm2–/– osteoclasts treated with aspartate protease inhibitor, Pepstatin A. Despite the important role of TG1 in osteoclastogenesis, the in vivo role of TG1 in bone has not been explored as global TG1 deletion in mice leads to postnatal lethality prior to any observable bone remodeling phenotype. To overcome this, we developed an osteoclast-specific TG1 knockout mouse using a novel Tgm1flx/flx mouse and osteoclast-specific Cathepsin K-Cre driver mouse resulting in the Tgm1-/- CTSK (Tgm1CKO) mouse model. I report that the successful deletion of TG1 in osteoclasts from Tgm1CKO mice resulted in impaired osteoclastogenesis. This impairment was evidenced by significantly smaller osteoclasts with a 60% decrease in the number of nuclei per cell and a significant reduction in Dcstamp expression, a cell fusion marker, compared to controls. However, differentiation itself was not affected. This data would predict an increase in bone mass in vivo. However, in vivo skeletal phenotyping of Tgm1CKO mice, conducted using dual x-ray absorptiometry (DEXA), µComputed Tomography (CT) scans, and Three-Point-Bending tests revealed a significant reduction in bone mineral density, trabecular bone parameters, and femur strength in the appendicular skeleton of 10-week-old Tgm1CKO mice. This deterioration worsened with age, affecting both axial and appendicular bones in 5-month-old mice compared to littermate controls, suggesting a critical role of TG1 in maintaining bone mass and integrity. Ablation of TG1 from osteoclast did not affect cortical bone. I also conducted proteomics to identify specific substrates of TG1 in osteoclast precursors using K5-Hitomi-peptide analysis. Many of the identified proteins are known to be involved in cytoskeletal dynamics. In summary, this thesis provides additional information supporting the potential role of TGs in osteoclastogenesis and assigns a novel role for TG1 in osteoclastogenesis and bone remodeling

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: Bench or experimental · Consensus signal: Bench or experimental
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)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.235
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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