Erratum to: Bioactive terpenoids and flavonoids from Daucus littoralis Smith subsp. hyrcanicus Rech.f, an endemic species of Iran
Bibliographic record
Abstract
Adipose tissue is a primary site of obesity-induced inflammation, which has been emerging as an important contributor to obesity associated disorders.The factors influencing adipose tissue-induced inflammation and the resulting pathophysiological events remain poorly understood.However, dietary fiber consumptions appear to be protective.Short-chain fatty acids such as propionic acid (PA) are the principal products of the dietary fiber fermentation by microbiota.Therefore, we aim to investigate the influence of PA on inflammation, lipogenesis and glucose uptake markers from human subcutaneous adipose tissue (SAT).We showed that the treatment of SATwith PA resulted in a significant downregulation of inflammatory parameters (e.g.TNF-α and IP-10) and macrophage markers (e.g.CD163 and MMP-9).The expression levels of PA receptors (i.e.G protein coupled receptor-41 and -43) in human primary adipocytes were very low in comparison with SATand macrophages.Upon PA treatment, no anti-inflammatory effect was observed in human adipocytes.PA significantly upregulated the expression of lipoprotein lipase (LPL), sterol regulatory-element-binding protein-1c (SREBP-1c) and glucose transporter 4 (GLUT-4), which are associated with lipogenesis and glucose uptake.We also showed that the observed anti-inflammatory effects of PA on SATwere partly mediated by Gi/o protein coupled receptor.Our data suggests that PA anti-inflammatory effects on SATare mediated partly via Gi/o proteins, leading to the improved expression of factors associated with lipogenesis and glucose uptake.These responses appeared to be not mediated by adipocytes; but most probably by macrophages.The current study provides new knowledge, which can be used as a potential new avenue for drug development in preventing obesityrelated inflammation and metabolic disorders in future.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".