Baboon Lipoprotein(a) Binds Very Weakly to Lysine−Agarose and Fibrin Despite the Presence of a Strong Lysine-Binding Site in Apolipoprotein(a) Kringle IV Type 10
Bibliographic record
Abstract
Human apolipoprotein(a) kringle IV type 10 [apo(a) KIV(10)] contains a strong lysine-binding site (LBS) that mediates the interaction of Lp(a) with biological substrates such as fibrin. Mutations in the KIV(10) LBS have been reported in both the rhesus monkey and chimpanzee, and have been proposed to explain the lack of ability of the corresponding Lp(a) species to bind to lysine and fibrin. To further the comparative analyses with other primate species, we sequenced a segment of baboon liver apo(a) cDNA spanning KIV(9) through the protease domain. Like rhesus monkey apo(a), baboon apo(a) lacks a kringle V (KV)-like domain. Interestingly, we found that the baboon apo(a) KIV(10) sequence contains all of the canonical LBS residues. We sequenced the apo(a) KIV(10) sequence from an additional 10 unrelated baboons; 17 of 20 alleles encoded Trp at position 70, whereas only two alleles encoded Arg at this position and thus a defective LBS. Despite the apparent presence of a functional KIV(10) LBS in most of the baboons, none of the Lp(a) in the plasma of the corresponding baboons bound specifically to lysine-Sepharose (agarose) even upon partial purification. Moreover, baboon Lp(a) bound very poorly to plasmin-modified fibrinogen. Expression of baboon and human KIV(10) in bacteria allowed us to verify that these domains bind comparably to lysine and lysine analogues. We conclude that presentation of KIV(10) in the context of apo(a) lacking KV may interfere with the ability of KIV(10) to bind to substrates such as fibrin; this paradigm may also be present in other non-human primates.
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) | 0.002 | 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".