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Differential regulation of adipocyte and osteoblast differentiation of mesenchymal stem cells by Chemerin and CMKLR1

2009· article· en· W128042462 on OpenAlexafffundabout
Shanmugam Muruganandan, Alexandra A. Roman, Christopher J. Sinal

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health ResearchNova Scotia Health Research Foundation
KeywordsChemerinMesenchymal stem cellAdipogenesisOsteoblastCell biologyAdipocyteBone marrowBiologyStem cellCellular differentiationProgenitor cellEndocrinologyInternal medicineAdipokineImmunologyAdipose tissueMedicineLeptinGenetics

Abstract

fetched live from OpenAlex

Adipocytes and osteoblasts are derived from a common mesenchymal stem cell progenitor within the bone marrow. Previous studies have identified an inverse relationship between adipocyte and osteoblast differentiation of these cells in bone marrow. Work from our laboratory identified chemerin as a novel adipokine that together with its cognate receptor, CMKLR1 plays an indispensable role in regulating adipocyte differentiation of 3T3‐L1 preadipocytes. In the present study we hypothesized that chemerin and its cognate receptor, CMKLR1 is also essential for adipocyte differentiation of bone marrow‐derived mesenchymal stem cells and may simultaneously competitively suppress the alternate osteoblastogenic program. Knockdown of chemerin or CMKLR1 by short hairpin loop RNAs (shRNA) in murine bone marrow primary mesenchymal stem cells abrogated preadipocyte clonal expansion, adipogenic gene expression and lipid accumulation along with the promotion of mineralization and osteoblastogenic gene expression. Thus we conclude that chemerin is essential for bone marrow mesenchymal stem cell adipogenesis and may negatively impact osteoblastogenesis in these cells. Funding: 1. Canadian Institutes of Health Research 2. Nova Scotia Health Research Foundation

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.006
GPT teacher head0.222
Teacher spread0.216 · 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
Published2009
Admission routes3
Has abstractyes

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