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Record W3157397068 · doi:10.1016/j.ebiom.2021.103366

Not all myocardial infarctions are created equal: The potential of circulating microRNAs to discern coronary artery dissection

2021· letter· en· W3157397068 on OpenAlexaboutno aff
Donato Santovito, Christian Weber

Bibliographic record

VenueEBioMedicine · 2021
Typeletter
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsnot available
FundersEuropean Research CouncilDeutsche ForschungsgemeinschaftEuropean Commission
KeywordsMedicineMyocardial infarctionCardiologyInternal medicineAcute coronary syndromeCoronary artery diseaseScad

Abstract

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Acute myocardial infarction (AMI) is a dramatic manifestation of ischemic heart disease and represents a major cause of mortality worldwide, responsible for over 1 million hospitalizations annually in the United States [[1]Eisen A. Giugliano R.P. Braunwald E. Updates on acute coronary syndrome: a review.JAMA Cardiol. 2016; 1: 718-730Crossref PubMed Scopus (45) Google Scholar]. Notwithstanding, AMI encompasses different etiopathogenic mechanisms and, although atherothrombosis is the most common one [[1]Eisen A. Giugliano R.P. Braunwald E. Updates on acute coronary syndrome: a review.JAMA Cardiol. 2016; 1: 718-730Crossref PubMed Scopus (45) Google Scholar], epidemiological evidence accumulates on the relevance of other causes, including spontaneous coronary artery dissection (SCAD). Described for the first time in the early 30 s, SCAD is obviously not a rare disease and may account for up to 4% of all AMIs and for 35% of those in young women (< 50 years old) [[2]Hayes S.N. Tweet M.S. Adlam D. Kim E.S.H. Gulati R. Price J.E. Rose C.H. Spontaneous coronary artery dissection: JACC state-of-the-art review.J Am Coll Cardiol. 2020; 76: 961-984Crossref PubMed Scopus (24) Google Scholar]. It is characterized by the development of a hematoma in the media of the coronary artery with delamination of vessel wall and compression of the lumen, thus reducing coronary blood flow to prompt myocardial ischemia. In the light of the different pathogenesis, it is not unexpected that clinical management of acute SCAD and atherothrombotic AMI requires specific considerations as, for example, an invasive treatment strategy (i.e., percutaneous coronary intervention, PCI) results in higher complication rates and less predictable outcomes, whereas conservative management may be preferable in these patients [[2]Hayes S.N. Tweet M.S. Adlam D. Kim E.S.H. Gulati R. Price J.E. Rose C.H. Spontaneous coronary artery dissection: JACC state-of-the-art review.J Am Coll Cardiol. 2020; 76: 961-984Crossref PubMed Scopus (24) Google Scholar,[3]Saw J. Starovoytov A. Humphries K. Sheth T. So D. Minhas K. Brass N. Lavoie A. Bishop H. Lavi S. Pearce C. Renner S. Madan M. Welsh R.C. Lutchmedial S. Vijayaraghavan R. Aymong E. Har B. Ibrahim R. Gornik H.L. Ganesh S. Buller C. Matteau A. Martucci G. Ko D. Mancini G.B.J. Canadian spontaneous coronary artery dissection cohort study: in-hospital and 30-day outcomes.Eur Heart J. 2019; 40: 1188-1197Crossref PubMed Scopus (95) Google Scholar]. However, the clinical presentation of SCAD is the similar to atherothrombotic AMI, and diagnosis requires experienced interventional cardiologists and invasive approaches such as coronary angiography and optical coherence tomography. Hence, the discovery of easy-to-assess biomarkers for diagnosis of SCAD in patients with symptoms of AMI in emergency settings (e.g., emergency and chest-pain units) would improve their early identification and enable benefits with regards to therapeutic management. In this article of EBioMedicine, Lozano-Prieto and colleagues report on the diagnostic power of circulating microRNAs for this purpose [[4]Lozano-Prieto M. Adlam D. García-Guimaraes M. Sanz-García A. Vera-Tomé P. Rivero F. Cuesta J. Bastante T. Baranowska-Clarke A. Vara A. Martin-Gayo E. Vicente-Manzanares M. Martín P. Samani N.J. Sánchez-Madrid F. Alfonso F. de la Fuente H. Differential miRNAs in acute spontaneous coronary artery dissection: pathophysiological insights from a potential biomarker.EBioMedicine. 2021; https://doi.org/10.1016/j.ebiom.2021.103338Summary Full Text Full Text PDF PubMed Scopus (1) Google Scholar]. MicroRNAs are endogenous short non-coding RNAs with a major influence in the pathogenesis of cardiovascular diseases [[5]Santovito D. Egea V. Bidzhekov K. Natarelli L. Mourao A. Blanchet X. Wichapong K. Aslani M. Brunssen C. Horckmans M. Hristov M. Geerlof A. Lutgens E. Daemen M. Hackeng T. Ries C. Chavakis T. Morawietz H. Naumann R. von Hundelshausen P. Steffens S. Duchene J. Megens R.T.A. Sattler M. Weber C. Noncanonical inhibition of caspase-3 by a nuclear microRNA confers endothelial protection by autophagy in atherosclerosis.Sci Transl Med. 2020; 12: eaaz2294Crossref PubMed Scopus (17) Google Scholar,[6]Peters L.J.F. Biessen E.A.L. Hohl M. Weber C. van der Vorst E.P.C. Santovito D. Small things matter: relevance of microRNAs in cardiovascular disease.Front Physiol. 2020; 11: 793Crossref PubMed Scopus (11) Google Scholar]. They are remarkably stable in plasma and serum and have therefore been explored as potential diagnostic or prognostic biomarkers in various diseases including AMI [[7]Santovito D. Weber C. Zooming in on microRNAs for refining cardiovascular risk prediction in secondary prevention.Eur Heart J. 2017; 38: 524-528PubMed Google Scholar]. The authors confirmed that AMI influence the expression of circulating microRNAs and, more importantly, identified and validated a specific microRNA signature able to discern between atherothrombosis or SCAD as the etiology of AMI. Indeed, the simultaneous detection of higher circulating let-7f-5p, miR-146a-5p, miR-151a-3p, and miR-223–5p showed a really good accuracy (C-statistic: 0.88, 95%CI: 0.72–1.00) with 68% positive and 83% negative predictive values for the diagnosis of SCAD across the two independent cohorts in England and Spain, which minimize the possibility of operator- and site-dependent biases. Not only may circulating microRNAs serve as biomarkers but experimental and clinical studies also suggest that they may mediate a network of intercellular communication by affecting gene expression in recipient cells [[6]Peters L.J.F. Biessen E.A.L. Hohl M. Weber C. van der Vorst E.P.C. Santovito D. Small things matter: relevance of microRNAs in cardiovascular disease.Front Physiol. 2020; 11: 793Crossref PubMed Scopus (11) Google Scholar]. For this reason, the authors have explored the possibility that the identified microRNAs could take part in the pathogenesis of SCAD by targeting specific transcripts in cells relevant to the progression of vascular diseases. Indeed, most of the validated targets of the deregulated microRNAs were enriched in processes of blood vessel development, vascular smooth muscle cells proliferation, and TGF-β signaling pathway, which has been implicated in the pathogenesis of SCAD in a recent genetic association study [[8]Verstraeten A. Perik M. Baranowska A.A. Meester J.A.N. Van Den Heuvel L. Bastianen J. Kempers M. Krapels I.P.C. Maas A. Rideout A. Vandersteen A. Sobey G. Johnson D. Fransen E. Ghali N. Webb T. Al-Hussaini A. de Leeuw P. Delmotte P. Lopez-Sublet M. Pappaccogli M. Sprynger M. Toubiana L. European/International Fibromuscular Dysplasia Initiative R. Laer L.V. Van Dijk F.S. Vikkula M. Samani N.J. Persu A. Adlam D. Loeys B. Collaborators of the European/international fibromuscular dysplasia R and initiative. enrichment of rare variants in loeys-dietz syndrome genes in spontaneous coronary artery dissection but not in severe fibromuscular dysplasia.Circulation. 2020; 142: 1021-1024Crossref PubMed Scopus (9) Google Scholar]. Interestingly, the genes for the precursors of 2 out of the four regulated microRNAs (MIRLET7F2 and MIR223) are hosted in the X-chromosome, thus potentially contributing to the large prevalence of SCAD in women (87–95% of reported SCAD cases) [[2]Hayes S.N. Tweet M.S. Adlam D. Kim E.S.H. Gulati R. Price J.E. Rose C.H. Spontaneous coronary artery dissection: JACC state-of-the-art review.J Am Coll Cardiol. 2020; 76: 961-984Crossref PubMed Scopus (24) Google Scholar,[3]Saw J. Starovoytov A. Humphries K. Sheth T. So D. Minhas K. Brass N. Lavoie A. Bishop H. Lavi S. Pearce C. Renner S. Madan M. Welsh R.C. Lutchmedial S. Vijayaraghavan R. Aymong E. Har B. Ibrahim R. Gornik H.L. Ganesh S. Buller C. Matteau A. Martucci G. Ko D. Mancini G.B.J. Canadian spontaneous coronary artery dissection cohort study: in-hospital and 30-day outcomes.Eur Heart J. 2019; 40: 1188-1197Crossref PubMed Scopus (95) Google Scholar,[9]Di Palo A. Siniscalchi C. Salerno M. Russo A. Gravholt C.H. Potenza N. What microRNAs could tell us about the human X chromosome.Cell Mol Life Sci. 2020; 77: 4069-4080Crossref PubMed Scopus (6) Google Scholar]. Nonetheless, an inference of a causal role derived from the current study is limited. Although the authors detected differences in circulating levels of some targets (e.g., CXCL8, TGFB1, MMP2), these results are not consistent with the paradigm of a microRNA-mediated regulation, with targets and microRNAs being concomitantly upregulated. Multiple reasons can explain this apparent paradox, including the observation that circulating and intracellular pools of microRNAs undergo different regulatory processes, as already reported for let-7f-5p in diabetes [[6]Peters L.J.F. Biessen E.A.L. Hohl M. Weber C. van der Vorst E.P.C. Santovito D. Small things matter: relevance of microRNAs in cardiovascular disease.Front Physiol. 2020; 11: 793Crossref PubMed Scopus (11) Google Scholar,[10]Santovito D. De Nardis V. Marcantonio P. Mandolini C. Paganelli C. Vitale E. Buttitta F. Bucci M. Mezzetti A. Consoli A. Cipollone F. Plasma exosome microRNA profiling unravels a new potential modulator of adiponectin pathway in diabetes: effect of glycemic control.J Clin Endocrinol Metab. 2014; 99: E1681-E1685Crossref PubMed Scopus (114) Google Scholar]. Hence, additional experimental studies are warranted to dissect the intimate mechanisms of microRNA regulation of SCAD. Overall, the study by Lozano-Prieto et al. presents a promising non-invasive tool for diagnosis of SCAD and an attractive standpoint for future large prospective and multicentric clinical trials for a definitive validation of the discriminatory power of the identified microRNA signature. While the lack of standardization in methodology, data normalization and analytical workflows still hamper a rapid adoption of circulating microRNAs as biomarkers in the clinic, their remarkable discriminatory power revealed by studies such as the current one, once confirmed and replicated, will possibly provide the physicians with an important tool for diagnosis of SCAD with the ultimate goal to optimize the clinical management and reduce the complications of invasive therapeutic and diagnostic procedures in those patients. None The authors are funded by the Deutsche Forschungsgemeinschaft ( SFB1123 and TRR267 ) and European Research Council (ERC AdG °692511). DS and CWequally contributed to writing and editing the commentary. Differential miRNAs in acute spontaneous coronary artery dissection: Pathophysiological insights from a potential biomarkerWe present a novel signature of plasma miRNAs in patients with SCAD. miR-let-7f-5p, miR-146a-5p, miR-151a-3p and miR-223-5p discriminate SCAD from AT-AMI patients and also shed light on the pathological mechanisms underlying this condition. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.277
Teacher spread0.253 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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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Published2021
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