DeCure's autonomous Cardio AI scientist is researching a drug-repurposing hypothesis for familial atrial fibrillation — screening already-approved drugs against its 21-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.
Disease moduleFamilial atrial fibrillation maps to a 21-gene Open Targets module — the target space DeCure's AI scientist screens approved drugs against.
DeCure.ai methodSignature reversal (LINCS) plus network proximity (STRING) rank already-approved drugs likely to perturb this module — the same engine that produces DeCure.ai's repurposing hypotheses.
Repurposing thesisScreening approved medicines against this disease module, then publishing the evidence for the strongest candidate. Known pharmacology and human exposure data make the first question sharper — they do not establish safety or efficacy in a new indication.
Research record
01
ResearchComing soon
Candidate research + dossier — target rationale, drug-repurposing thesis and evidence pack.proof: Published dossier + on-chain hash
02
ValidationComing soon
In-vitro biological validation at a contract research org (CRO).proof: CRO contract + in-vitro report
03
Peer review & paperComing soon
Peer-reviewed paper published open-access (preprint + journal).proof: DOI + open-access link + on-chain hash
Current lead
No approved-drug candidate for familial atrial fibrillation is corroborated in the literature DeepSearch retrieved. Some conditions are managed with non-pharmacological care — a device, surgery or physical therapy — rather than a medicine; that may be the case here, or the literature we found may simply be too sparse yet to support a drug-repurposing angle.
Molecular view
FKBP prolyl isomerase 1B (FKBP1B) — FKBP1B is one of the genes genetically linked to this disease in Open Targets — shown as context, not as a drug target we're pursuing: no approved-drug candidate for this disease is yet corroborated in the literature we found.
Loading structure…
helix sheet flcdrag to rotate · scroll to zoom
RCSB Protein Data Bank · entry 4C02 · 2.17 Å · ligand CITRATE ANION (FLC). Experimental structure, not a prediction.
What the evidence adds up to
A 2020 report describes benign familial atrial fibrillation as rare, with a family of three members in excellent health apart from the arrhythmia. The authors stress that non-familial atrial fibrillation in otherwise healthy people is more common and is often wrongly labelled as serious disease, which can unjustly affect insurability. A 2017 study confirms that family history is an important risk factor, with several genetic regions implicated through genome-wide association studies. Familial atrial fibrillation is associated with earlier age of onset and fewer comorbid conditions than non-familial forms, and while symptoms are worse, all-cause mortality and thromboembolic risk are similar between familial and non-familial patients.
A 2003 review of pharmacologic management found strong evidence for acute conversion of atrial fibrillation using ibutilide, flecainide, dofetilide, propafenone, amiodarone, and quinidine compared with placebo. For maintaining sinus rhythm after conversion, strong evidence supported amiodarone, propafenone, disopyramide, and sotalol. For ventricular rate control, verapamil, diltiazem, atenolol, and metoprolol were qualitatively superior to digoxin and placebo, especially during exercise. For primary stroke prevention, evidence was strong for warfarin and suggestive for aspirin, with suggestive evidence of increased major bleeding risk for warfarin and inconclusive evidence for aspirin. The review noted that most patients have similar outcomes whether the strategy is rate control or rhythm control.
A 2008 review states that pharmacotherapy remains first-line therapy despite modern ablation, with the mainstay being prevention of thromboembolic events. New drug targets have been identified from growing knowledge of pathophysiology, promising individualised drug treatment. A 2020 review notes that despite advances, large differences in individual treatment responses remain and mechanisms of atrial fibrillation are not fully understood. International collaborations have revealed genetic contributions, and steps toward personalised management are being made. A 2023 review discusses genetic predictors of atrial fibrillation, pathogenetic mechanisms of atrial remodelling, assessment of genetic risk, prediction of outcomes and therapy effectiveness, and prospects for gene therapy.
What is still missing are large, prospective trials that stratify familial atrial fibrillation patients by specific genetic variants to test whether targeted therapies or gene therapy approaches improve outcomes beyond current rate and rhythm control. The cost of such trials and the difficulty of recruiting enough patients with defined familial genotypes remain barriers. No drug has been shown to modify the underlying genetic risk or to prevent the earlier onset seen in familial cases.
Evidence
Retrieved by DeepSearch across 234,678,978 indexed works and resolved on OpenAlex — ranked by citations, including the results that did not work.
Annals of Internal Medicine · 2003 · 211 citations
Management of Atrial Fibrillation: Review of the Evidence for the Role of Pharmacologic Therapy, Electrical Cardioversion, and Echocardiography
AbstractPURPOSE: This review summarizes the available evidence regarding the efficacy of medications used for ventricular rate control, stroke prevention, acute conversion, and maintenance of sinus rhythm, as well as the efficacy of electrical cardioversion and the use of echocardiography in patients with atrial fibrillation. DATA SOURCES: The Cochrane Collaboration's database of controlled clinical trials and MEDLINE. STUDY SELECTION: Primarily randomized, controlled trials of medications. DATA EXTRACTION: Paired reviewers obtained data on efficacy and safety. Strength of evidence was assessed. DATA SYNTHESIS: Recent clinical trial results showed that most patients with atrial fibrillation have similar outcomes with strategies for controlling ventricular rate compared with strategies for restoring sinus rhythm. For efficacy of primary stroke prevention, compared with placebo, evidence was strong for warfarin and suggestive for aspirin. The evidence for an increased risk for major bleeding was suggestive for warfarin and inconclusive for aspirin. For ventricular rate control, verapamil, diltiazem, atenolol, and metoprolol were qualitatively superior to digoxin and placebo, particularly during exercise. For efficacy of acute conversion, compared with placebo, evidence was strong for ibutilide, flecainide, dofetilide, propafenone, amiodarone, and quinidine. For efficacy of maintenance of sinus rhythm after conversion from atrial fibrillation, evidence was strong for amiodarone, propafenone, disopyramide, and sotalol. Echocardiography was found to be useful in estimating risk for thromboembolism and potentially useful in estimating likelihood of successful cardioversion and maintenance. CONCLUSIONS: For several key questions in the pharmacologic management of atrial fibrillation, strong evidence exists to support 1 or more treatment options.
AbstractBenign familial atrial fibrillation is of rare occurrence. A family in which three members manifested this disorder is reported. Apart from this, all three are in excellent health.The relative frequency of non-familial atrial fibrillation in otherwise well people, free from cardiac and metabolic disorders, is stressed. Only too frequently such cases have been and continue to be labelled with the stigma of serious disease with an unhappy prognosis. Serious injustice may be occasioned in such cases in many respects; for example, in the influence that this medical judgment may have on the insurability of young people so afflicted.Methods of exclusion of organic causes of this disorder are outlined and principles of management and treatment are discussed.
Atrial Fibrillation in Patients with Ischemic and Non-Ischemic Left Ventricular Dysfunction.
AbstractAtrial fibrillation (AF) and left ventricular dysfunction (LVD) are increasingly common clinical problems, affecting millions of people worldwide. It is well established that the presence of AF portends a poor prognosis in the setting of both ischemic and non-ischemic LVD, and frequently results in worsening clinical status. Many clinical studies and trials have attempted to address treatment options and efficacy; despite this treatment for AF in LVD is still controversial.
Journal of Comparative Effectiveness Research · 2017 · 5 citations
Familial clustering of atrial fibrillation and comparative longitudinal outcomes of familial and non-familial atrial fibrillation
AbstractSeveral studies have suggested that family history of atrial fibrillation (AF) is an important risk factor for AF, with several specific genetic regions now implicated through Genome Wide Association Studies. In addition, familial AF is associated with earlier age of onset and affects patients with fewer comorbid conditions than their non-familial counterparts. While those with familial AF have worse symptoms, all-cause mortality and risk of thromboembolic complications are similar among familial and non-familial AF patients.
Expert Opinion on Pharmacotherapy · 2008 · 5 citations
Pharmacotherapy of atrial fibrillation: an old option with new possibilities
AbstractBACKGROUND: Atrial fibrillation is the most common sustained arrhythmia observed worldwide. Despite modern ablative treatment options, pharmacotherapy remains the first-line therapy in patients with atrial fibrillation. OBJECTIVE: Based on recently published guidelines for the management of atrial fibrillation, the present paper reviews the current and emerging concepts of pharmacotherapy in atrial fibrillation. METHODS: A MEDLINE search was conducted using the keyword 'atrial fibrillation' and 'drug therapy'. The reviewed literature included clinical trials and published reviews as well as clinical guidelines. RESULTS: The mainstay of atrial fibrillation therapy is the prevention of thromboembolic events. With growing knowledge of the pathophysiology of atrial fibrillation new drug targets have been identified that promise improved outcomes in atrial fibrillation management and this will allow individual drug treatment in the near future.
Role of genetics in atrial fibrillation management
AbstractAtrial fibrillation (AF) management has significantly improved during the career of professor Crijns. Research was implemented into guidelines and clinical practice. However, despite advances in AF management, large differences between individual treatment responses still exist and the mechanisms underlying initiation and perpetuation of AF are not completely understood. International collaborations have revealed the genetic contribution to AF and steps towards improving AF management are being made. In this short review, the most important paradigms shifts in the field of AF genetics are recognized and the future role of genetics in personalized management of AF is discussed.
Journal of Arrhythmology · 2023 · 0 citations · open access
Familial atrial fibrillation as a polygenic disease with structural cardiac abnormalities: assessment of genetic risk and possibilities for gene therapy
AbstractThe prevalence of familial atrial fibrillation (AF) in the general population and in the structure of AF is considered, and genetic predictors of AF and pathogenetic mechanisms of atrial remodeling are analyzed. The assessment of the genetic risk of AF occurrence, the prediction of its outcomes and the effectiveness of AF therapy, as well as the prospects for AF gene therapy are discussed.
Disease module: DeepOracle (Open Targets). Structures: RDKit from PubChem SMILES. Literature: retrieved by DeepSearch across 234,678,978 indexed works (targeted per-candidate search), resolved on OpenAlex.
DeCure is a research and publication project, not medical advice and not a treatment. "DeCure for X" describes a research goal, not a claim that a cure exists. Backing a cure is a contribution to fund the research — it is not an investment, and confers no yield, royalty, equity or IP ownership. Papers are published open-access by the DeCure.ai DAO.