Análise da Expressão Gênica Durante a Diferenciação Osteogênica de Células Mesenquimais Estromais de Medula Óssea de Pacientes Portadores de Osteogênese Imperfeita
Bibliographic record
Abstract
Osteogenesis imperfecta (OI) is characterized as a genetic disorder in which a generalized osteopenia leads to short stature, bone fragility and serious skeletal deformities. Mesenchymal stem cells (MSCs) are precursors present in adult bone marrow that can differentiate into osteoblasts, adipocytes and myoblasts that have been given great importance as a source cell therapy. The aim of this study was to analyze the gene expression profile during osteogenic differentiation from mesenchymal stem cells from bone marrow taken from patients diagnosed with Osteogenesis Imperfecta and control subjects. Samples were collected from three normal individuals and five samples from patients with Osteogenesis Imperfecta. Mononuclear cells (MON) were isolated to obtain mesenchymal cells that were expanded until third passage when the stimulus for osteogenic differentiation was induced. Analyses were also conducted to count the CFU-F and for four of the five samples from patients with OI, the number of CFU-F observed was lower than generally found for normal samples. Cells were collected for analysis of cell immunophenotyping by flow cytometry and RNA was extracted from the resulting sample called T0. Remaining cells were stimulated for osteogenic differentiation. After a day in culture with stimulation, cells from another bottle had their RNA extracted (T1), and the same procedure was performed on days 2 (T2), 7 (T7), 12 (T12), 17 (T17) and 21 (T21). All samples have shown potential of in vitro differentiation into osteoblasts and adipocytes. Immunophenotyping of mesenchymal cells was performed and samples of all patients had immunophenotypic profile consistent with previous works. We identified mutations in COL1A1 and / or COL1A2 responsible for developing the disease for four of five patients. For the patient with Osteogenesis Imperfecta and Bruck Syndrome, coding region of the gene PLOD2 was also sequenced, but no mutations were found. The gene expression analysis was performed by microarray and identified several genes with differential expression. Some genes of fundamental importance in osteoblast differentiation showed lower expression in samples from patients with OI, suggesting a minor involvement of MSCs of patients with osteogenic lineage. Other genes also confirmed their differential expression by Real Time PCR. We observed an increased expression of genes related to adipocytes, suggesting an increased adipogenic differentiation at the expense of osteogenic differentiation. The expression of PLOD2 gene variants proved to be different between normal samples, OI and the patient with Bruck Syndrome. There was also evidence of differential expression of 29b microRNA, with established role during osteogenic differentiation, suggesting a mechanism dependent regulation of mRNA abundance of its gene target, COL1A1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".