The impact of interethnic lipidomic variation in falciparum malaria
Bibliographic record
Abstract
BACKGROUND: Shifts in dietary patterns during lifestyle transitions are integral components of the dynamic interactions between humans and their environments. Investigating the link between dietary diversity, the composition of the human lipidome and infection is key to understanding the interplay between diet and susceptibility to pathogens. METHODS: Here we address this question by performing a comparative study of two ethnic groups with divergent dietary patterns: Fulani, who are nomad pastoralists with a dairy-centric diet, and Mossi, who are farmers with a plant-based diet. We generate 196 paired global lipidomes (927 lipid molecules) from both groups before and during natural Plasmodium falciparum infection. RESULTS: Our analysis revealed 211 significantly differentially abundant lipid molecules between the two ethnic groups in both infection states. We show that ethnicity has a greater impact on the lipidome of these children than do P. falciparum infection and report inter-ethnic differences that impact pathogenesis. We highlight elevated levels of pentadecanoic acid (C15:0)-containing phospholipids in Fulani and experimentally demonstrate the suppressive effects of lysophosphatidylcholine LysoPC (15:0) on P. falciparum gametocyte production. CONCLUSION: These findings link the Fulani's dairy-centric diet and lower P. falciparum gametocyte densities reported in this group and underscore the intricate links between dietary lipids and the host response to infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".