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Record W2352795241 · doi:10.1182/blood.v122.21.130.130

A Transgenic Model Of Multiple Myeloma Bone Disease Shows Profound Mesenchymal Stem Cell Impairment

2013· article· en· W2352795241 on OpenAlexaff
Monica Gomez-Palou, Richard Kremer, Michaël Sébag

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsGenetically modified mouseAppositionOsteoclastTransgeneBone diseaseMesenchymal stem cellPathologyOsteolysisMultiple myelomaOsteoblastBone mineralBiologyImmunologyInternal medicineOsteoporosisMedicineAnatomySurgeryIn vitroGeneticsReceptor

Abstract

fetched live from OpenAlex

Abstract Bone disease affects 70% of Multiple Myeloma (MM) patients during the course of their illness. While new treatments for the MM itself have prolonged their survival, patients are living longer with their bone disease. Bisphophonates have been shown to reduce skeletal related events in MM, but they neither eliminate these events nor reverse skeletal damage. The transgenic mouse model of MM (vk*myc) is the only mouse model that has been shown to faithfully recapitulate the clinical disease, including its bony abnormalities. The original publication of the model showed principally a decrease in bone mineral density of affected animals but scant lytic lesions. We have cross bred this model with a substrain of C56/BL6 mice, KaLwRiJ, that is the basis of a competing model of MM and its bone disease the 5T33 model. This new transgenic substrain shows significant number bony lesions on x-ray and microCT analyses. Immunohistochemistry of the femurs and spines of these animals show an increased number of osteoclast and a decreased number of osteoblasts as compared to non-transgenic wild type mice of the same substrain. Dynamic labeling of bone shows a decreased mineral apposition rate (1.21mm/day ±0.03 vs 2.05mm/day ±0.04) in mice with MM vs wild type mice. In addition to the demineralization associated with MM bone disease and unique to this model, we show a dramatic decrease in the formation of osteoblasts from cultured mesenchymal stem cells (MSCs). These are grown ex-vivo from affected transgenic mice and induced to differentiate into osteoblasts in culture. We demonstrate a close to 90% reduction in observed and quantified mineralized colonies indicating a dramatic impairment in MSC differentiation in these mice, similar to what is seen in human MM. Gene expression profiling analyses using mRNA from ex-vivo mesenchymal stem cells derived from transgenic and wild type mice reveal a number of pathways and genes that can potentially play a role in the inhibition of MSC differentiation in this model. These include the wnt signaling pathway as well as genes involved in histone acetyltransferase activity. The latter suggests that MSCs are ‘permanently’ affected by the presence of MM cells in vivo and that this inhibition does not improve even when they are separated from MM cells for a prolonged period of time. Bortezomib has been shown in MM patients to improve the appearance of MM lytic lesions radiographically as well as to improve serum markers of osteoblastic activity. This improvement is thought to be due to a reversal of MSC differentiation impairment. Wild type and transgenic mice with MM and bone disease were treated with bortezomib (0.5mg/Kg twice per week) for two weeks. CT analyses of mice pre and post bortezomib treatment showed a 28% improvement in the treated transgenic mice. We also show a concomitant improvement in the ex-vivo ability of MSCs to differentiate into osteoblasts. In summary, we present a unique animal model to study MM bone disease that shows profound MSC impairment. This model responds to a treatment strategy that has been shown to work in the human disease and opens itself to further study and use for future developments targeting MM bone disease. Disclosures: No relevant conflicts of interest to declare.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.261
Teacher spread0.234 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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