Acetyl-CoA Regulation, OXPHOS Integrity and Leptin Levels Are Different in Females With Childhood vs Adulthood Onset of Obesity
Bibliographic record
Abstract
Although childhood-onset obesity (CO) and adulthood-onset obesity (AO) are known to lead to distinctive clinical manifestations and disease risks, the fundamental differences between them are largely unclear. The aim of the current study is to investigate the fundamental differences between subcutaneous adipose tissue from CO and AO and to identify metabolic differences between abdominal (abSAT) and femoral subcutaneous adipose tissues (feSAT). Total and regional body composition was assessed using dual-energy x-ray absorptiometry (DXA) and computed tomography. Levels of acetyl-CoA, NAD+/NADH, acetyl-CoA network genes, mitochondrial complex abundance, H3 acetylation were determined in biopsied abSAT and feSAT. Serum leptin and adiponectin were measured. Our results showed that acetyl-CoA was higher in subcutaneous adipose tissue from subjects with AO compared with CO. Multiple linear regression revealed that ATP citrate lyase was the only main effect affecting the level of acetyl-CoA. Circulating leptin concentrations was higher in AO. The increased level of acetyl-CoA was strongly associated with histone H3 acetylation, LEP expression in adipose tissue, and circulating leptin in AO. NAD+/NADH was higher in CO; however, abundance of mitochondrial complexes, the complex II:complex V ratio, and the complex IV:complex V ratio were lower in CO, reflecting compromised mitochondrial function in subcutaneous adipose tissue from CO. Moreover, we identified differences in the level of acetyl-CoA and NAD+/NADH ratio between abSAT and feSAT, suggesting that these fat depots may possess different metabolic properties. The fundamental difference in the important metabolic intermediate acetyl-CoA between CO and AO may help us better understand the development of obesity and the pathogenesis of different obesity-related diseases in humans.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".