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RPI‐194 is a Novel Troponin Activator that Increases the Calcium Sensitivity of Striated Muscle Contraction

2022· article· en· W4225311911 on OpenAlexaff
Zabed Mahmud, Svetlana B. Tikunova, Natalya Belevych, Corey Wagg, Pavel Zhabyeyev, Philip B. Liu, David V. Rasicci, Richard Schulz, Christopher M. Yengo, Gavin Y. Oudit, Gary D. Lopaschuk, Peter J. Reiser, Jonathan P. Davis, Peter M. Hwang

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTroponin complexTroponin ICardiac muscleTroponinHeart failureContraction (grammar)Internal medicineMyofilamentCardiologyActivator (genetics)ChemistryCalciumCardiac function curveBiophysicsMyocyteMedicineBiologyMyocardial infarctionReceptor

Abstract

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Introduction Systolic heart failure is a cardiac disease in which the contractile function of heart muscle becomes weakened and unable to pump blood with adequate force. As of yet, no existing positive inotrope is able to lower the mortality rate in systolic heart failure. Cardiac troponin complex (cTn) is a trimeric complex consisting of troponin C (cTnC), troponin I (cTnI) and troponin T (cTnT). cTnC regulates blood supply to the heart by turning muscle contraction on and off in a calcium‐dependent manner. More precisely, the regulatory N‐domain of cTnC (cNTnC) binds the switch region of cTnI to activate contraction. Drug‐like molecules need to bind to this cNTnC‐cTnI switch region interface and modulate the pumping activity of the heart. Our objective was to identify a small molecule that has the ability to stabilize the activated conformation of cTn by binding to this interface and thereby enhance cardiac muscle contraction. Hypothesis A cardiac troponin activator could potentially compensate the impaired contractile function of the heart in the treatment of systolic heart failure Methods A total of 47 new compounds were designed using existing knowledge of calcium sensitizers. The compounds were screened against a recombinantly purified cNTnC‐cTnI chimeric construct, named gChimera, using nuclear magnetic resonance and fluorescence spectroscopy. We identified a novel small molecule cardiac troponin activator, RPI‐194, and measured its binding affinity to recombinantly purified cNTnC and gChimera. We also investigated the activity of RPI‐194 in rat skinned cardiac muscle trabeculae, isolated mouse cardiomyocytes, and isolated working mouse hearts. RPI‐194 activity was also tested in skinned skeletal muscle fibers from rats as both cardiac and slow skeletal muscle share the same isoform of cTnC. Results We demonstrated that a small molecule troponin activator RPI‐194 binds to gChimera with a K D of 12‐24 µM and is able to stabilize activated cTn. It also slowed down the rate of calcium release from reconstituted cTn. RPI‐194 showed increasing calcium sensitivity of isometric contraction in skinned cardiac muscle trabeculae, as well as in slow and fast skeletal muscle fibers, suggesting it to be a calcium sensitizer, with cross‐reactivity within striated muscle. Contrarily, RPI‐194 was unable to slow down calcium release from isolated cNTnC. It also reduced the velocity of unloaded shortening in skeletal muscle fibers, suggesting that it slows the rate of actin‐myosin cross‐bridging, although no effect on myosin ATPase activity was found. RPI‐194 decreased the velocity and amplitude of contractions in isolated cardiomyocytes but contractility was preserved in isolated working hearts. Conclusions RPI‐194 is a small molecule troponin activator that acts as a calcium sensitizer in striated muscle. Because of the isoform sharing of cTnC in cardiac and slow skeletal muscle, it is nearly impossible to develop a cardiac‐specific troponin activator. Whole animal model studies are needed to determine the impact of RPI‐194 on the different striated muscle types and whether this would be acceptable for therapeutic intervention.

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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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.280
Teacher spread0.237 · 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 designBench or experimental
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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