Repeat Polymorphisms in the Low-Complexity Regions of Plasmodium falciparum ABC Transporters and Associations with <i>In Vitro</i> Antimalarial Responses
Bibliographic record
Abstract
The Plasmodium falciparum genome is rich in regions of low amino acid complexity which evolve with few constraints on size. To explore the extent of diversity in these loci, we sequenced repeat regions in pfmdr1, pfmdr5, pfmdr6, pfmrp2, and the antigenic locus pfmsp8 in laboratory and cultured-adapted clinical isolates. We further assessed associations between the repeats and parasite in vitro responses to 7 antimalarials to determine possible adaptive roles of these repeats in drug tolerance. Our results show extensive repeat variations in the reference and clinical isolates in all loci. We also observed a modest increase in dihydroartemisinin activity in parasites harboring the pfmdr1 sequence profile 7-2-10 (reflecting the number of asparagine repeats, number of aspartate repeats, and number of asparagine repeats in the final series of the gene product) (P = 0.0321) and reduced sensitivity to chloroquine, mefloquine, quinine, and dihydroartemisinin in those with the 7-2-11 profile (P = 0.0051, 0.0068, 0.0011, and 0.0052, respectively). Interestingly, we noted an inverse association between two drugs whereby isolates with 6 asparagine repeats encoded by pfmdr6 were significantly more susceptible to piperaquine than those with 8 (P = 0.0057). Against lumefantrine, those with 8 repeats were, however, more sensitive (P = 0.0144). In pfmrp2, the 7-DNNNTS/NNNNTS (number of DNNNTS or NNNNTS motifs; underlining indicates dimorphism) repeat group was significantly associated with a higher lumefantrine 50% inhibitory concentration (IC50) (P = 0.008) than in those without. No associations were observed with pfmsp8. These results hint at the probable utility of some repeat conformations as markers of in vitro antimalarial response; hence, biochemical functional studies to ascertain their role in P. falciparum are required.
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 | 0.001 |
| 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) | 0.001 | 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".