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Record W4391467456 · doi:10.1101/2024.02.01.578475

Role of Fibronectin in Postnatal Skeletal Development

2024· preprint· en· W4391467456 on OpenAlexafffund
Neha E. H. Dinesh, Nissan Baratang, Justine Rosseau, Ronit Mohapatra, Ling Li, Ramshaa Mahalingam, Kerstin Tiedemann, Philippe M. Campeau, Dieter P. Reinhardt

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsShriners Hospitals for Children - CanadaCentre Hospitalier Universitaire Sainte-JustineMcGill UniversityMcGill University Health Centre
FundersCanadian Institutes of Health ResearchRéseau de Recherche en Santé Buccodentaire et Osseuse
KeywordsFibronectinCell biologyBiologyExtracellular matrix

Abstract

fetched live from OpenAlex

Abstract Fibronectin (FN) is a ubiquitous matrix glycoprotein essential for the physiological development of various tissues. Mutations in FN cause a form of skeletal dysplasia, emphasizing the importance of FN in cartilage and bone development. However, the relevance and functional role of FN during skeletal development remains elusive. We employed conditional knockout mouse models for the cellular FN isoform in cartilage (cFNKO), the plasma FN isoform in hepatocytes (pFNKO), and a double knockout (FNdKO) to determine the relevance of these two principal FN isoforms in postnatal skeletal development spanning from P1 to 2 months of age. We identified a unique topological FN deposition pattern in the mouse limb with prominent levels at the resting and hypertrophic chondrocyte zones and in the trabecular bone. Circulating pFN did not enter the growth plate and was limited to the primary ossification center, whereas cartilage-specific cFN was detected as the major isoform in epiphyseal cartilage. Deletion of either one of the isoforms in single knockouts (cFNKO or pFNKO) only led to subtle changes in some of the analyzed parameters. Complete ablation of both cFN in the growth plate and circulating pFN in plasma resulted in significantly reduced postnatal body weight, body length, and bone length in the FNdKO mice. Assessment of the FNdKO adult bone microarchitecture using micro-CT revealed significantly reduced trabecular bone volume, trabecular network, bone mineral density, and increased bone marrow adiposity. Analysis of chondrogenesis in FNdKO mice showed changes in the proliferating and hypertrophic growth plate zones, consistent alterations in chondrogenic markers such as collagen type II and type X, reduced apoptosis of hypertrophic chondrocytes, and downregulation of bone formation markers. FNdKO mice also displayed decreased levels of transforming growth factor-β1 (TGFβ1) and downstream phospho-AKT levels, which are critical regulators of chondrogenesis and bone formation. In conclusion, the data demonstrate that FN is essential for proper chondrogenesis and postnatal bone development. Simultaneous deletion of both FN isoforms in the developing cartilage leads to critical TGFβ-mediated alterations in chondrogenic differentiation, resulting in bone and skeletal defects. Significance/Highlights FN is highly expressed during mouse limb development with increased deposition in resting and hypertrophic chondrocyte zones and the primary ossification center. Cartilage-specific cFN and circulating pFN are distinctly distributed during embryonic and postnatal bone development, with chondrocyte-specific cFN present in the growth plate and pFN limited to trabecular bone and the bone marrow. Deletion of both cFN and pFN leads to reduced bone growth during early postnatal development. Deletion of cFN and pFN leads to reduced trabecular bone formation, bone mineralization, and increased bone marrow adiposity in 2-month adult mice. Absence of both FN isoforms in the FNdKO mouse model leads to altered chondrogenesis and reduced bone formation. FN regulates chondrogenesis via TGFβ-mediated phospho-AKT signaling.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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 routes2
Has abstractyes

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