Bis(monoacylglycerol)phosphate as a non-invasive biomarker to monitor the onset and time-course of phospholipidosis with drug-induced toxicities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
IMPORTANCE TO THE FIELD: Drug-induced phospholipidosis (PL) is a phospholipid storage disorder characterized by the accumulation of multi-lamellar bodies (myeloid bodies) in tissues. A major unanswered question is whether PL represents a benign adaptive response, symptom or early event in drug toxicity. The absence of a non-invasive biomarker to monitor tissue PL has made it difficult to determine the prevalence and implications of PL in the clinic. As a result, the interpretation of PL in risk assessment remains uncertain in preclinical and clinical drug development. AREAS COVERED IN THIS REVIEW: This review describes the rationale for bis(monoacylglycerol)phosphate (BMP) as a biomarker of PL and explores the potential links between PL and the toxicities of drugs. WHAT THE READER WILL GAIN: The similarities between the hypothesized roles of BMP in PL and Niemann-Pick type C disease are discussed. The potential implications of PL for cellular function are described in the context of drug-induced QT prolongation, myopathy and renal toxicity. TAKE HOME MESSAGE: A specific species of BMP, di-docosahexaenoyl-BMP, should be investigated further as a non-invasive biomarker to monitor the onset and time course of PL and to better understand the functional consequences which could contribute to the toxicities of drugs.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 it