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Record W4408463504 · doi:10.1111/cts.70195

First‐In‐Human Safety, Tolerability, and Pharmacokinetics of <scp>PPI</scp>‐1011, a Synthetic Plasmalogen Precursor

2025· article· en· W4408463504 on OpenAlexaff
Tara Smith, Kaeli J. Knudsen, Shawn Ritchie

Bibliographic record

VenueClinical and Translational Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsPhenomenome Discoveries (Canada)
Fundersnot available
KeywordsTolerabilityPharmacokineticsPlaceboAdverse effectMedicinePharmacologyPlasmalogenPharmacodynamicsInternal medicineRegimenEndocrinologyAnesthesiaGastroenterologyChemistryBiochemistryPathology

Abstract

fetched live from OpenAlex

PPI-1011 is a synthetic plasmalogen precursor designed to augment plasmalogen levels in patients with Rhizomelic chondrodysplasia punctata (RCDP), an ultra-rare genetic disorder caused by a plasmalogen deficiency that results in significant physical and mental delays. We report here a Phase I, randomized, double-blind, placebo-controlled study that evaluated the safety, tolerability, and pharmacokinetics (PK) of single (10-100 mg/kg) and multiple (75 and 100 mg/kg/day) ascending doses of PPI-1011 in healthy adults. All treatment-emergent adverse events (TEAEs) were mild, monitorable, and resolved without intervention, suggesting no significant safety concerns. The most common TEAEs were gastrointestinal in both the placebo and PPI-1011 groups, suggesting they were likely related to the oil-based nature of the formulation. PK analysis confirmed that both single (25, 50, 75 and 100 mg/kg) and multiple-dose (75 and 100 mg/kg, once daily) administration of PPI-1011 significantly increased serum levels of the target plasmalogen (PlsEtn 16:0/22:6). With a once-daily regimen, PPI-1011 administration resulted in a sustained increase of PlsEtn 16:0/22:6 serum concentrations in healthy participants over a duration of 14 days and beyond.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.328
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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