Effects of PCB126 on Adipose-to-Muscle Communication in an <i>in Vitro</i> Model
Bibliographic record
Abstract
BACKGROUND: Exposure to coplanar polychlorinated biphenyls (PCBs) is linked to the development of insulin resistance. Previous studies suggested PCB126 alters muscle mitochondrial function through an indirect mechanism. Given that PCBs are stored in fat, we hypothesized that PCB126 alters adipokine secretion, which in turn affects muscle metabolism. OBJECTIVES: ) whether preestablished insulin resistance alters the metabolic responses of adipocytes exposed to PCB126 and the communication between adipocytes and myotubes. METHODS: ) in two insulin sensitivity conditions [insulin sensitive (IS) and insulin resistant (IR) adipocytes], followed by the measurement of secreted adipokines, mitochondrial function, and insulin-stimulated glucose uptake. Communication between adipocytes and myotubes was reproduced by exposing C2C12 myotubes or mouse primary myotubes to conditioned medium (CM) derived from IS or IR 3T3-L1 adipocytes exposed to PCB126. Mitochondrial function and insulin-stimulated glucose uptake were then determined in myotubes. RESULTS: ) secretion and lower mitochondrial function, glucose uptake, and glycolysis. However, PCB126 did not significantly alter these parameters in IS adipocytes. Altered energy metabolism in IR 3T3-L1 adipocytes was linked to lower phosphorylation of AMP-activated protein kinase (p-AMPK) and higher superoxide dismutase 2 levels, an enzyme involved in reactive oxygen species detoxification. Myotubes exposed to the CM from PCB126-treated IR adipocytes had lower glucose uptake, with no alteration in glycolysis or mitochondrial function. Interestingly, p-AMPK levels were higher in myotubes exposed to the CM of PCB126-treated IR adipocytes. DISCUSSION: Taken together, these data suggest that increased adipokine secretion from IR adipocytes exposed to PCB126 might explain impaired glucose uptake in myotubes. https://doi.org/10.1289/EHP7058.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".