Evidence map›Paper›PMID 42194102›Full record

ReviewBiomolecules2026

Current Progress and Future Outlook for Synthetic Gene Circuits in Cardiovascular Therapy.

Mohammadali Khalilitousi, Arshaan Dhingra, Leili Rohani, Ron Weiss

Abstract readReview
In one paragraph

Review in Biomolecules, 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

4 authors.

Mohammadali KhalilitousiSchool of Biomedical Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0002-9065-7596
Arshaan DhingraSchool of Biomedical Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0009-0005-2078-2745
Leili RohaniDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ron WeissDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite decades of therapeutic advances, cardiovascular diseases remain the leading cause of global mortality, underscoring the need for strategies that move beyond untargeted systemic pharmacotherapy. Synthetic biology introduces a programmable therapeutic paradigm in which engineered gene circuits can sense, compute, and respond to pathological signals with spatiotemporal precision. This review examines the current progress of synthetic gene circuits for cardiovascular therapy, organized across three domains of clinical relevance. The first domain comprises circuits engineered for direct cardiac applications, from inducible switches to classifier systems. This discussion is further expanded by exploring circuits that indirectly target cardiovascular disease; these circuits address upstream risk factors such as cholesterol dysregulation and chronic inflammation. Looking ahead, the focus shifts to orthogonal architectures pioneered in other therapeutic contexts that hold promise for future cardiac applications. This review further discusses the emerging role of computational tools, including gene regulatory network inference and foundation models, in accelerating target discovery. Finally, a modified Design-Build-Test-Learn framework is proposed to overcome translational bottlenecks, thus paving the way for next-generation cardiac therapeutics.

Indexed as

Cardiovascular DiseasesGene Regulatory NetworksGenes, SyntheticGenetic TherapySynthetic BiologyAnimalsHumansPrecision Medicinecardiomyocytescardiovascular diseasesgene regulatory networksgene therapymachine learningprecision medicinesynthetic biologysynthetic gene circuits

Identifiers

PMID42194102
PMCPMC13204177

What OpenQuestion holds

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Registered trials

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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.