Lower plasma PCSK9 in normocholesterolemic subjects is associated with upregulated adipose tissue surface‐expression of LDLR and CD36 and NLRP3 inflammasome
Bibliographic record
Abstract
Background LDL-cholesterol lowering variants that upregulate receptor uptake of LDL, such as in PCSK9 and HMGCR, are associated with diabetes via unclear mechanisms. Activation of the NLRP3 inflammasome/interleukin-1 beta (IL-1β) pathway promotes white adipose tissue (WAT) dysfunction and type 2 diabetes (T2D) and is regulated by LDL receptors (LDLR and CD36). We hypothesized that: (a) normocholesterolemic subjects with lower plasma PCSK9, identifying those with higher WAT surface-expression of LDLR and CD36, have higher activation of WAT NLRP3 inflammasome and T2D risk factors, and; (b) LDL upregulate adipocyte NLRP3 inflammasome and inhibit adipocyte function. Methodology Post hoc analysis was conducted in 27 overweight/ obese subjects with normal plasma LDL-C and measures of disposition index (DI during Botnia clamps) and postprandial fat metabolism. WAT was assessed for surface-expression of LDLR and CD36 (immunohistochemistry), protein expression (immunoblot), IL-1β secretion (AlphaLISA), and function (3H-triolein storage). Results Compared to subjects with higher than median plasma PCSK9, subjects with lower PCSK9 had higher WAT surface-expression of LDLR (+81%) and CD36 (+36%), WAT IL-1β secretion (+284%), plasma IL-1 receptor-antagonist (+85%), and postprandial hypertriglyceridemia, and lower WAT pro-IL-1β protein (−66%), WAT function (−62%), and DI (−28%), without group-differences in body composition, energy intake or expenditure. Adjusting for WAT LDLR or CD36 eliminated group-differences in WAT function, DI, and postprandial hypertriglyceridemia. Native LDL inhibited Simpson-Golabi Behmel-syndrome (SGBS) adipocyte differentiation and function and increased inflammation. Conclusion Normocholesterolemic subjects with lower plasma PCSK9 and higher WAT surface-expression of LDLR and CD36 have higher WAT NLRP3 inflammasome activation and T2D risk factors. This may be due to LDL-induced inhibition of adipocyte function.
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 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 | 0.000 | 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) | 0.003 | 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".