Diagnosis of acute myocardial infarction using a combination of circulating circular RNA cZNF292 and clinical information based on machine learning.

Circulating circular RNAs (circRNAs) are emerging as novel biomarkers for cardiovascular diseases (CVDs). Machine learning can provide optimal predictions on the diagnosis of diseases. Here we performed a proof-of-concept study to determine if combining circRNAs with an artificial intelligence approach works in diagnosing CVD. We used acute myocardial infarction (AMI) as a model setup to prove the claim. We determined the expression level of five hypoxia-induced circRNAs, including cZNF292, cAFF1, cDENND4C, cTHSD1, and cSRSF4, in the whole blood of coronary angiography positive AMI and negative non-AMI patients. Based on feature selection by using lasso with 10-fold cross validation, prediction model by logistic regression, and ROC curve analysis, we found that cZNF292 combined with clinical information (CM), including age, gender, body mass index, heart rate, and diastolic blood pressure, can predict AMI effectively. In a validation cohort, CM + cZNF292 can separate AMI and non-AMI patients, unstable angina and AMI patients, acute coronary syndromes (ACS), and non-ACS patients. RNA stability study demonstrated that cZNF292 was stable. Knockdown of cZNF292 in endothelial cells or cardiomyocytes showed anti-apoptosis effects in oxygen glucose deprivation/reoxygenation. Thus, we identify circulating cZNF292 as a potential biomarker for AMI and construct a prediction model "CM + cZNF292."

Gut microbiome mediates the protective effects of exercise after myocardial infarction.

BACKGROUND: Gut microbiota plays important roles in health maintenance and diseases. Physical exercise has been demonstrated to be able to modulate gut microbiota. However, the potential role of gut microbiome in exercise protection to myocardial infarction (MI) remains unclear. RESULTS: Here, we discovered exercise training ameliorated cardiac dysfunction and changed gut microbial richness and community structure post-MI. Moreover, gut microbiota pre-depletion abolished the protective effects of exercise training in MI mice. Furthermore, mice receiving microbiota transplants from exercised MI mice had better cardiac function compared to mice receiving microbiota transplants from non-exercised MI mice. Mechanistically, we analyzed metabolomics in fecal samples from exercised mice post-MI and identified 3-Hydroxyphenylacetic acid (3-HPA) and 4-Hydroxybenzoic acid (4-HBA), which could be applied individually to protect cardiac dysfunction post-MI and apoptosis through NRF2. CONCLUSIONS: Together, our study provides new insights into the role of gut microbiome in exercise protection to MI, offers opportunities to modulate cardiovascular diseases by exercise, microbiome and gut microbiota-derived 3-HPA and 4-HBA. Video Abstract.

The anti-microbial peptide LL-37/CRAMP levels are associated with acute heart failure and can attenuate cardiac dysfunction in multiple preclinical models of heart failure.

Rationale: Biomarkers for the diagnosis of heart failure (HF) are clinically essential. Circulating antimicrobial peptides LL-37 has emerged as a novel biomarker in cardiovascular disease, however, its relevance as a biomarker for acute HF are undetermined. Methods: Acute HF patients were enrolled in this study and the serum levels of LL-37/CRAMP (cathelicidin-related antimicrobial peptide) were measured by ELISA. The receiver-operator characteristic (ROC) curve was used to determine if serum LL-37 could be a biomarker for acute HF. Mouse CRAMP (mCRAMP, mouse homolog for human LL-37) was also determined in both heart and serum samples of, transverse aortic constriction (TAC)- and isoproterenol (ISO)-induced HF mice models, and phenylephrine (PE) and angiotensin II (AngII)-induced neonatal mouse cardiomyocytes (NMCMs) hypertrophic models, both intracellular and secreted, by ELISA. The protective effects of mCRAMP were determined in TAC, ISO, and AngII-induced HF in mice while whether HF was exacerbated in AngII-infused animals were checked in mCRAMP knockout mice. The underlying mechanism for protective effects of CARMP in pathological hypertrophy was determined by using a NF-κB agonist together with rCRAMP (rat homolog for human LL-37) in AngII or PE treated neonatal rat cardiomyocytes (NRCMs). Results: Serum levels of LL-37 were significantly decreased in acute HF patients (area under the curve (AUC) of 0.616), and negatively correlated with NT-proBNP. We further confirmed that mCRAMP was decreased in both heart and serum samples of TAC- and ISO-induced HF mice models. Moreover, in PE and AngII-induced NMCMs hypertrophic models, both intracellular and secreted mCRAMP levels were reduced. Functionally, mCRAMP could attenuate TAC, ISO, and AngII-induced HF in mice while CRAMP deficiency exacerbated HF. Mechanistically, the anti-hypertrophy effects of CRAMP were mediated by NF-κB signaling. Conclusions: Collectively, serum LL-37 is associated with acute HF and increasing CRAMP is protective against deleterious NF-κB signaling in the rodent.