Adenovirus type 9 enhances differentiation and decreases cytokine release from preadipocytes
Bibliographic record
Abstract
The hypothesis was that preadipocytes would have intrinsically elevated propensity to differentiate into mature adipocytes due to AdV9 infection. To test this hypothesis, the metabolic and molecular mechanisms responsible for AdV9-induced adipogenesis were examined. An association between anti-AdV9 antibodies and human obesity was also identified. 3T3L1 cells were used as a surrogate model to analyze the preadipocyte proliferation, differentiation, and maturation. An expression of E4orf1, C/EBP-β, PPAR-γ, GAPDH, aP2, LEP and fatty acid synthase gene, intracellular lipid accumulation and cytokine release were assessed. The presence of anti-AdV antibodies, serum lipids, plasma leptin, and CRP was evaluated in 204 obese and non-obese patients. AdV9-infected cells accumulated more intracellular lipids in comparison to uninfected controls. AdV9 enhanced an expression of C/EBP-β and PPAR-γ leading to an increased differentiation of preadipocytes. Overexpression of aP2 and fatty acid synthase, and decreased expression of leptin confirmed an increased accumulation of intracellular lipids due to AdV infection. Secretion of TNF-α and IL-6 from AdV9-inoculated cells was decreased strongly. About 24.5% of prevalence of anti-AdV9 antibodies was reported in the study group. AdV9-infected subjects presented higher body weights, BMIs, WHR, and central obesity. The presence of anti-AdV9 antibodies was associated with changes in serum lipids level but neither elevated CRP nor decreased leptin levels were related to obesity due to AdV infection. Data obtained from this study provide the evidences that AdV9 is a second adenovirus, which has an influence on 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".