An infection of human adenovirus 31 affects the differentiation of preadipocytes into fat cells, its metabolic profile and fat accumulation
Bibliographic record
Abstract
The primary issue undertaken in this study was to test the hypothesis that preadipocytes would have intrinsically elevated propensity to differentiate into mature adipocytes due to HAdV31 infection. To prove that, the metabolic and molecular mechanisms responsible for HAdV31-induced adipogenesis were examined. 3T3L1 cells (mouse embryonic fibroblast, adipose like cell line) were used as a surrogate model to analyze an increased proliferation, differentiation, and maturation of preadipocytes infected with human adenovirus. An expression of E4orf1, C/EBP-β, PPAR-γ, GAPDH, aP2, LEP, and fatty acid synthase genes, intracellular lipid accumulation as well as cytokine release from the fat cells were assessed. Data showed that HAdV31 increased an expression of C/EBP-β and PPAR-γ genes leading to an enhanced differentiation of preadipocytes into fat cells. Besides, overexpression of GAPDH and fatty acid synthase, and decreased expression of leptin caused an increased accumulation of intracellular lipids. Secretion of TNF-α and IL-6 from HAdV31-infected cells was strongly decreased, leading to unlimited virus replication. The results obtained from this study provided the evidences that HAdV31, likewise previously documented HAdV36, is a subsequent human adenovirus affecting the differentiation and lipid accumulation of 3T3L1 cells.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, not a consensus.
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".