Biogenesis and speciation of nascent apoA-I-containing particles in various cell lines
Bibliographic record
Abstract
It is generally thought that the large heterogeneity of human HDL confers antiatherogenic properties; however, the mechanisms governing HDL biogenesis and speciation are complex and poorly understood. Here, we show that incubation of exogenous apolipoprotein A-I (apoA-I) with fibroblasts, CaCo-2, or CHO-overexpressing ABCA1 cells generates only alpha-nascent apolipoprotein A-I-containing particles (alpha-LpA-I) with diameters of 8-20 nm, whereas human umbilical vein endothelial cells and ABCA1 mutant (Q597R) cells were unable to form such particles. Interestingly, incubation of exogenous apoA-I with either HepG2 or macrophages generates both alpha-LpA-I and prebeta1-LpA-I. Furthermore, glyburide inhibits almost completely the formation of alpha-LpA-I but not prebeta1-LpA-I. Similarly, endogenously secreted HepG2 apoA-I was found to be associated with both prebeta1-LpA-I and alpha-LpA-I; by contrast, CaCo-2 cells secreted only alpha-LpA-I. To determine whether alpha-LpA-I generated by fibroblasts is a good substrate for LCAT, isolated alpha-LpA-I as well as reconstituted HDL [r(HDL)] was reacted with LCAT. Although both particles had similar V(max) (8.4 vs. 8.2 nmol cholesteryl ester/h/microg LCAT, respectively), the K(m) value was increased 2-fold for alpha-LpA-I compared with r(HDL) (1.2 vs. 0.7 microM apoA-I). These results demonstrate that 1) ABCA1 is required for the formation of alpha-LpA-I but not prebeta1-LpA-I; and 2) alpha-LpA-I interacts efficiently with LCAT. Thus, our study provides direct evidence for a new link between specific cell lines and the speciation of nascent HDL that occurs by both ABCA1-dependent and -independent pathways.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".