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Pharmacokinetics of MAT9001, an Omega‐3 Fatty Acid Medication, Compared with Eicosapentaenoic Acid Ethyl Esters in Hypertriglyceridemic Subjects

2016· article· en· W2548482759 on OpenAlexaff
Kevin C. Maki, William F. Keane, Mohammed Bouhajib, Radu Pop, George Bobotas

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEicosanoids and Hypertension Pharmacology
Canadian institutionsPharma Medica Research (Canada)
Fundersnot available
KeywordsEicosapentaenoic acidDocosapentaenoic acidDocosahexaenoic acidChemistryBioavailabilityPharmacokineticsHypertriglyceridemiaTriglycerideDosingCrossover studyFatty acidChromatographyInternal medicinePharmacologyMedicineCholesterolPolyunsaturated fatty acidBiochemistry

Abstract

fetched live from OpenAlex

Synopsis MAT9001 (Matinas BioPharma Inc., Bedminster, NJ) is a novel investigational omega‐3 fatty acid (OM3) medication containing predominantly eicosapentaenoic (EPA) and docosapentaenoic (DPA) acids under development as an adjunct to diet for the treatment of severe hypertriglyceridemia (≥500 mg/dL). Purpose This randomized, crossover trial compared the bioavailability of MAT9001 and an OM3 EPA ethyl ester (EPA‐EE) agent (Vascepa; Amarin Pharmaceuticals, Bedminster, NJ) after single‐ and multiple‐dosing under fed (low‐fat) conditions in men and women with fasting triglycerides (TG) 200–400 mg/dL at screening without lipid‐altering therapy, or TG 200–350 mg/dL if on stable‐dose statin monotherapy. Methods Forty‐two subjects received 4 g/day MAT9001 and EPA‐EE in random order, while housed in a clinical research unit for 14‐day treatment periods, separated by ≥35 days of wash‐out. Baseline values were averaged from pre‐dose samples drawn on days −1 and 0. On‐treatment values were determined from plasma samples drawn on days 0 (single‐dose) and 13 (multiple‐dose). Total EPA, DPA, docosahexaenoic (DHA) and heneicosapentaenoic (HPA) acids were measured in plasma by a liquid chromatography–tandem mass spectrometry method using isotopically substituted OM3 compounds as internal standards. Total OM3 was calculated as the sum of molar concentrations of total EPA, DPA, DHA, and HPA for each time point. Systemic exposure (area under the curve [AUC]) and peak exposure (C max ) were calculated based on the measured and baseline‐adjusted concentrations. The log‐transformed AUC and C max were analyzed using a statistical model corresponding to a 2‐way crossover design. Results After single dose administration, MAT9001 was superior to EPA‐EE for systemic bioavailability of EPA, DPA and total OM3, with baseline‐adjusted AUC and maximal concentrations approximately 8‐fold higher. Following multiple dose administration, the bioavailability over the dosing interval (AUC tau ) and the steady state C max were approximately 6‐fold higher for MAT9001 compared to EPA‐EE for both total OM3 and EPA. At steady state conditions, AUC tau and maximal plasma concentration for DPA were 4‐fold and 5‐fold higher, respectively, for MAT9001 as compared to EPA‐EE. Each of these comparisons achieved a statistical significance with p<0.0001. Conclusion These results suggest that MAT‐9001, comprised predominantly of EPA and DPA, dosed with low‐fat meals exhibits significantly increased bioavailability after both single and multiple dose administrations, as compared to EPA‐EE. This significantly higher systemic absorption of fatty acids from MAT9001 relative to EPA‐EE has also been shown to produce greater TG reduction. Further research is underway to investigate the pharmacodynamic effects of MAT9001 and to evaluate possible implications for cardiovascular risk. Support or Funding Information Funded by Matinas BioPharma Inc., Bedminster, NJ

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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
Published2016
Admission routes1
Has abstractyes

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