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Abstract 4139852: Plozasiran and Triglyceride Levels in Hypertriglyceridemia: Long-Term Efficacy and Safety Data From Subjects in an Open-Label Extension Trial

2024· article· en· W4404363799 on OpenAlexaff
Christie M. Ballantyne, Gerald F. Watts, Robert S. Rosenson, Szilárd Vasas, Dénes Páll, Peter Clifton, Stephen J. Nicholls, Masoud Azizad, Ran Fu, Ma'An Muhsin, Stacey Melquist, Jennifer Hellawell, Daniel Gaudet

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsUniversité de MontréalUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsMedicineHypertriglyceridemiaTriglycerideTerm (time)Internal medicineTriglycerides bloodClinical trialCholesterol

Abstract

fetched live from OpenAlex

Despite current modestly effective triglyceride (TG) lowering therapies, the availability of more effective agents for persistently lowering elevated TGs and risk of acute pancreatitis remains a continuing need. More recently identified triglyceride-rich lipoproteins (TRLs), specifically remnant cholesterol (RC)-rich particles, are important drivers of ASCVD risk independent of LDL-C, driving development of more effective TG-directed therapies. Apolipoprotein C3 (APOC3) raises TGs by inhibiting lipoprotein lipase (LPL) dependent and -independent pathways. Plozasiran, a RNAi agent targeting APOC3 mRNA in hepatocytes, demonstrated large reductions in circulating APOC3, TGs, TRL-RC with a good safety profile in placebo-controlled trials. Here we report extension data to characterize long term safety and efficacy of plozasiran in subjects with elevated TGs. Plozasiran was studied in subjects with mixed hyperlipidemia (entry TGs 150-499 mg/dl) and severe hypertriglyceridemia (entry TGs > 500-4000 mg/dl) in separate Phase 2 trials (MUIR and SHASTA-2). Subjects completing double-blind, placebo-controlled treatment could enter this open-label extension. Endpoints included changes in fasting TG levels, other lipid and lipoprotein parameters and safety assessments for up to 24 months. Data cut-off was 5/16/24 for this analysis, (up to 15 months of follow up) in the ongoing study. 251 and 165 subjects from MUIR and SHASTA-2 entered the extension in which all received plozasiran 25 mg SQ dosed quarterly. 10, 25 or 50 mg of plozasiran under blinded conditions produced mean reductions in TGs of -52 to -64% (MUIR) and -69 to -74% (SHASTA-2), 12 weeks (trough) after the second dose. Corresponding trough reductions in the extension ranged from -44 to -73% (MUIR) and -62 to -86% (SHASTA-2) through 15 months follow-up. Common reported AEs were consistent with the index studies and patient populations and mean HbA1c did not increase, providing further evidence that long-term safety remains favorable with repeated dosing and longer observation periods. Extended open-label treatment with plozasiran in subjects with moderate to severely elevated TGs continue to show reductions of TG levels and safety consistent with the blinded index studies, demonstrating incidence rate and severity of TEAEs remain favorable with repeated dosing and longer observation. Results of additional lipid and lipoprotein parameters are also consistent with the blinded index data and will also be reported.

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)0.003
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.160
GPT teacher head0.380
Teacher spread0.220 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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