Evidence map›Paper›PMID 42257495›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Evaluation of the Current ATTR-CM Treatment Landscape via a Mathematical Model of TTR Dissociation and Amyloid Formation.

Stevan Methven Jeknić, Travis A Ahn-Horst, Alan X Ji, Jin Hyun Ju, Morgan Paull, Sun-Gou Ji, Uma Sinha

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stevan Methven JeknićBridgeBio Pharma, Inc, Palo Alto, California, USA.ORCID https://orcid.org/0009-0001-3352-5386
Travis A Ahn-HorstBridgeBio Pharma, Inc, Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-3049-3366
Alan X JiBridgeBio Pharma, Inc, Palo Alto, California, USA.ORCID https://orcid.org/0009-0008-8086-3952
Jin Hyun JuBridgeBio Pharma, Inc, Palo Alto, California, USA.ORCID https://orcid.org/0009-0002-1247-8055
Morgan PaullGondolaBio Pharma, Inc, Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-6852-1636
Sun-Gou JiBridgeBio Pharma, Inc, Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-8652-6318
Uma SinhaBridgeBio Pharma, Inc, Palo Alto, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transthyretin amyloid cardiomyopathy (ATTR-CM) is a progressive, often fatal disease arising from the dissociation of circulating transthyretin (TTR) tetramers into monomers that misfold and form amyloid fibrils that deposit in the myocardium and other tissues. Approved treatment paradigms involve tetramer stabilization with small molecules or TTR knockdown via RNA interference. Despite the clinical success of these drugs across several metrics (including all-cause mortality and cardiovascular hospitalization), gaps remain in understanding how measurable biological changes, such as differences in serum TTR concentration, translate into reductions in amyloid deposition. To address this, we built a mechanistic mathematical model of the TTR system that integrates heterogeneous data sources, including in vitro assays and clinical data, and recapitulates key features of ATTR-CM disease biology. The model predicts "monomer efflux," the rate at which unfolded monomers could potentially form amyloid, as a proxy for the pathogenic mechanism, which is difficult to measure. Model-predicted monomer efflux linearly correlated with reported rates of change in clinical measures, supporting its validity as a comparative metric. The model showed that monomer efflux is nearly twice as high in hereditary ATTR-CM (ATTRv) as in wild-type ATTR-CM (ATTRwt). Comparison of treatment modalities showed that acoramidis yields the greatest reduction in monomer efflux (96% in ATTRwt, 95% in ATTRv) due to rapid, near-complete stabilization of TTR. This framework enables quantitative interrogation of the disease system and principled comparisons across modalities that may help inform treatment selection.

Indexed as

AmyloidAmyloid Neuropathies, FamilialCardiomyopathiesModels, TheoreticalPrealbuminHumansModels, BiologicalAmyloidPrealbuminTTR protein, humanbiomarkerscardiologymathematical modelingmechanism‐based pharmacokinetics‐pharmacodynamicspharmacometricssystems pharmacology

Identifiers

PMID42257495
PMCPMC13244665

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.