Evidence map›Paper›PMID 41784061›Full record

ArticleClinical and translational science2026

Clinical Evaluation of Drug-Drug Interactions With Aficamten.

Neha Maharao, Donghong Xu, Punag Divanji, Tyrell J Simkins, Jianlin Li, Camelia Dumitrescu, Priyanka Solanki, Adrienne Griffith, Stephen B Heitner, Stuart Kupfer and 2 more

Abstract readClinical Trial, Phase I
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Neha MaharaoDepartment of Clinical Pharmacology, Cytokinetics, Incorporated, South San Francisco, California, USA.
Donghong XuDepartment of Clinical Pharmacology, Cytokinetics, Incorporated, South San Francisco, California, USA.ORCID 0009-0000-9678-0133
Punag DivanjiDepartment of Clinical Research, Cytokinetics, Incorporated, South San Francisco, California, USA.
Tyrell J SimkinsDepartment of Clinical Research, Cytokinetics, Incorporated, South San Francisco, California, USA.
Jianlin LiDepartment of Biostatistics, Cytokinetics, Incorporated, South San Francisco, California, USA.
Camelia DumitrescuDepartment of Drug Safety and Pharmacovigilance, Cytokinetics, Incorporated, South San Francisco, California, USA.
Priyanka SolankiDepartment of Drug Safety and Pharmacovigilance, Cytokinetics, Incorporated, South San Francisco, California, USA.
Adrienne GriffithDepartment of Clinical Pharmacology, Cytokinetics, Incorporated, South San Francisco, California, USA.
Stephen B HeitnerDepartment of Clinical Research, Cytokinetics, Incorporated, South San Francisco, California, USA.ORCID 0000-0003-2189-1474
Stuart KupferDepartment of Clinical Research, Cytokinetics, Incorporated, South San Francisco, California, USA.ORCID 0000-0002-5469-1287
Polina GermanDepartment of Clinical Pharmacology, Cytokinetics, Incorporated, South San Francisco, California, USA.
Justin D LutzDepartment of Clinical Pharmacology, Cytokinetics, Incorporated, South San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aficamten is a next-in-class small molecule cardiac myosin inhibitor that was recently approved by the United States Food and Drug Administration (FDA) for the treatment of symptomatic obstructive hypertrophic cardiomyopathy (oHCM). A comprehensive drug-drug interaction (DDI) evaluation of aficamten was achieved through two phase 1 studies in healthy participants. Aficamten as a victim of DDIs was studied using a moderate-to-strong P450 inducer (carbamazepine) and CYP inhibitors-itraconazole (strong CYP3A), paroxetine (strong CYP2D6), fluconazole (strong CYP2C19 and moderate 2C9 and 3A), and fluoxetine (strong CYP2D6 and 2C19). Aficamten's potential for P-glycoprotein (P-gp) inhibition was assessed using dabigatran etexilate (sensitive P-gp substrate). Minor increases in aficamten exposure (area under the curve) were observed following treatment with itraconazole (26%), paroxetine (27%), and fluoxetine (32%) compared with aficamten alone. Treatment with carbamazepine decreased aficamten exposure by 50%. Concomitant administration of aficamten with fluconazole, a multi-P450 inhibitor, resulted in a 278% increase in aficamten exposure. Taken together, results from these studies indicate that aficamten is primarily eliminated via CYP2C9-mediated metabolism (fraction metabolized [fm] = 54%) with contributions from CYP2D6 (fm = 21%), CYP3A (fm = 21%), and minimal metabolism via CYP2C19 (fm = 3%). A small increase (26%-27%) in dabigatran exposure was observed in the presence of aficamten; indicative of weak inhibition of P-gp. Aficamten was well tolerated, and adverse events were generally mild. In conclusion, aficamten is metabolized by multiple P450 enzymes, limiting its DDI liability. Only weak DDIs (< 2-fold) are likely from strong inhibition of any one pathway, and only moderate (< 5-fold) impact on aficamten exposure is expected with strong multi-pathway inhibitors or inducers.

Indexed as

Drug InteractionsPyrazolesCardiac MyosinsCardiomyopathy, HypertrophicCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Cytochrome P-450 Enzyme InhibitorsFemaleFluconazoleFluoxetineHumansItraconazoleMaleParoxetineaficamtenCardiac MyosinsCYP2C19 protein, humanCYP2C9 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Cytochrome P-450 Enzyme InhibitorsFluconazoleFluoxetineItraconazoleParoxetinePyrazolesaficamtencardiac myosin inhibitordrug–drug interactionheart failurehypertrophic cardiomyopathypharmacokinetics

Identifiers

PMID41784061
PMCPMC12961628

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.