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Digital technology is now an integral part of medicine. Tools for detecting, screening, diagnosis, and monitoring health-related parameters have improved patient care and enabled individuals to identify issues leading to better management of their own health. Wearable technologies have integrated sensors and can measure physical activity, heart rate and rhythm, and glucose and electrolytes. For individuals at risk, wearables or other devices may be useful for early detection of atrial fibrillation or sub-clinical states of cardiovascular disease, disease management of cardiovascular diseases such as hypertension and heart failure, and lifestyle modification. Health data are available from a multitude of sources, namely clinical, laboratory and imaging data, genetic profiles, wearables, implantable devices, patient-generated measurements, and social and environmental data. Artificial intelligence is needed to efficiently extract value from this constantly increasing volume and variety of data and to help in its interpretation. Indeed, it is not the acquisition of digital information, but rather the smart handling and analysis that is challenging. There are multiple stakeholder groups involved in the development and effective implementation of digital tools. While the needs of these groups may vary, they also have many commonalities, including the following: a desire for data privacy and security; the need for understandable, trustworthy, and transparent systems; standardized processes for regulatory and reimbursement assessments; and better ways of rapidly assessing value.

Europace : the European journal of pacing, arrhythmias and cardiac electrophysiology euac062 (2022). doi:10.1093/europace/euac062, Published by Oxford Univ. Press, Oxford

Aims Atrial fibrillation (AF) carries a substantial risk of ischemic stroke and other complications, and estimates suggest that over a third of cases remain undiagnosed. AF detection is particularly pressing in stroke survivors. To tailor AF screening efforts, we explored German health claims data for routinely available predictors of incident AF in primary care and post-stroke using machine learning methods. Methods and results We combined AF predictors in patients over 45 years of age using claims data in the InGef database (n = 1 476 391) for (i) incident AF and (ii) AF post-stroke, using machine learning techniques. Between 2013–2016, new-onset AF was diagnosed in 98 958 patients (6.7%). Published risk factors for AF including male sex, hypertension, heart failure, valvular heart disease, and chronic kidney disease were confirmed. Component-wise gradient boosting identified additional predictors for AF from ICD-codes available in ambulatory care. The area under the curve (AUC) of the final, condensed model consisting of 13 predictors, was 0.829 (95% confidence interval (CI) 0.826–0.833) in the internal validation, and 0.755 (95% CI 0.603–0.890) in a prospective validation cohort (n = 661). The AUC for post-stroke AF was of 0.67 (95% CI 0.651–0.689) in the internal validation data set, and 0.766 (95% CI 0.731–0.800) in the prospective clinical cohort. Conclusion ICD-coded clinical variables selected by machine learning can improve the identification of patients at risk of newly diagnosed AF. Using this readily available, automatically coded information can target AF screening efforts to identify high-risk populations in primary care and stroke survivors.

Aims Heart failure is characterized by structural and metabolic cardiac remodelling. The aim of the present study is to expand our understanding of the complex metabolic alterations in the transition from pathological hypertrophy to heart failure and exploit the results from a translational perspective. Methods and results Mice were subjected to transverse aortic constriction (TAC) or sham surgery and sacrificed 2 weeks, 4 weeks, or 6 weeks after the procedure. Samples from plasma, liver, skeletal muscle, and heart were collected and analysed using metabolomics. Cardiac samples were also analysed by transcriptional profiling. Progressive alterations of key cardiac metabolic pathways and gene expression patterns indicated impaired mitochondrial function and a metabolic switch during transition to heart failure. Similar to the heart, liver, and skeletal muscle revealed significant metabolic alterations such as depletion of essential fatty acids and glycerolipids in late stages of heart failure. Circulating metabolites, particularly fatty acids, reflected cardiac metabolic defects, and deteriorating heart function. For example, inverse correlation was found between plasma and the heart levels of triacylglycerol (C18:1, C18:2, C18:3), and sphingomyelin (d18:1, C23:0) already at an early stage of heart failure. Interestingly, combining metabolic and transcriptional data from cardiac tissue revealed that decreased carnitine shuttling and transportation preceded mitochondrial dysfunction. We, thus, studied the therapeutic potential of OCTN2 (Organic Cation/Carnitine Transporter 2), an important factor for carnitine transportation. Cardiac overexpression of OCTN2 using an adeno-associated viral vector significantly improved ejection fraction and reduced interstitial fibrosis in mice subjected to TAC. Conclusion Comprehensive plasma and tissue profiling reveals systemic metabolic alterations in heart failure, which can be used for identification of novel biomarkers and potential therapeutic targets.

Aims Identification of metabolic signatures in heart failure (HF) patients and evaluation of their diagnostic potential to discriminate HF patients from healthy controls during baseline and exercise conditions. Methods Plasma samples were collected from 22 male HF patients with non-ischemic idiopathic cardiomyopathy and left ventricular systolic dysfunction and 19 healthy controls before (t0), at peak (t1) and 1 h after (t2) symptom-limited cardiopulmonary exercise testing. Two hundred fifty-two metabolites were quantified by gas chromatography-mass spectrometry (GC-MS) and liquid chromatography (LC)-MS/MS-based metabolite profiling. Results Plasma metabolite profiles clearly differed between HF patients and controls at t0 (P

Cerebral arteriogenesis constitutes a promising therapeutic concept for cerebrovascular ischaemia; however, transcriptional profiles important for therapeutic target identification have not yet been investigated. This study aims at a comprehensive characterization of transcriptional and morphologic activation during early-phase collateral vessel growth in a rat model of adaptive cerebral arteriogenesis. Arteriogenesis was induced using a three-vessel occlusion (3-VO) rat model of nonischaemic cerebral hypoperfusion. Collateral tissue from growing posterior cerebral artery (PCA) and posterior communicating artery (Pcom) was selectively isolated avoiding contamination with adjacent tissue. We detected differential gene expression 24 h after 3-VO with 164 genes significantly deregulated. Expression patterns contained gene transcripts predominantly involved in proliferation, inflammation, and migration. By using scanning electron microscopy, morphologic activation of the PCA endothelium was detected. Furthermore, the PCA showed induced proliferation (PCNA staining) and CD68+ macrophage staining 24 h after 3-VO, resulting in a significant increase in diameter within 7 days after 3-VO, confirming the arteriogenic phenotype. Analysis of molecular annotations and networks associated with differentially expressed genes revealed that early-phase cerebral arteriogenesis is characterised by the expression of protease inhibitors. These results were confirmed by quantitative real-time reverse transcription-PCR, and in situ hybridisation localised the expression of tissue inhibitor of metalloproteinase-1 (TIMP-1) and kininogen to collateral arteries, showing that TIMP-1 and kininogen might be molecular markers for early-phase cerebral arteriogenesis.

Aims Despite recent advances in medical therapy, heart failure remains a leading cause for cardiovascular mortality, and its complex pathogenesis is incompletely understood. This study was performed to identify possible new therapeutic targets in dilated cardiomyopathy (DCM). Methods and results Oligonucleotide microarray analysis was performed on endomyocardial biopsies (EMBs) from patients with early DCM (LVEDD ≥ 55 mm, LVEF ≤ 55%, n = 5) and control subjects (LVEDD 60%, no cardiac pathology, n = 4). Adiponectin, an adipocytokine involved in cellular metabolism, survival, and immunmodulation, was six-fold downregulated in DCM patients. Microarray data for adiponectin were confirmed by TaqMan-PCR (9.2-fold downregulation, control n = 9 vs. DCM n = 9, respectively, P < 0.05). Immunohistological analysis of EMBs showed significant downregulation of cardiac adiponectin protein expression independent of serum adiponectin ( P = 0.36, ns) or serum TNFα concentrations ( P = 0.46, ns). Neither the adiponectin receptor 1 (adipo-R1) nor adipo-R2 was deregulated in early DCM. Adiponectin mRNA and protein downregulation were confirmed in explanted hearts of patients with advanced DCM (LVEF < 25%, n = 8). In vitro , adiponectin incubation of neonatal rat ventricular myocytes led to activation of the pro-survival kinase PKB/Akt, increased eNOS-phosphorylation, and prevented stress-induced apoptosis of cardiomyocytes in an Akt-dependent manner. Moreover, inhibition of adiponectin secretion was accompanied by an increase in the expression of the cytokine and its receptors. Conclusion These data indicate the existence of a local cardiac adiponectin system regulated independent of adiponectin and TNFα serum levels and its disturbance in cardiac pathology. The study suggests a role for adiponectin in the pathogenesis of DCM and implicates the adipocytokine as a possible future therapeutic target in DCM.

Rationale: The nuclear receptor peroxisome proliferator–activated receptor-γ (PPARγ) is an important regulator of gene transcription in vascular cells and mediates the vascular protection observed with antidiabetic glitazones. Objective: To determine the molecular mechanism of ligand-dependent transrepression in vascular smooth muscle cells and their impact on the vascular protective actions of PPARγ. Methods and Results: Here, we report a molecular pathway in vascular smooth muscle cells by which ligand-activated PPARγ represses transcriptional activation of the matrix-degrading matrix metalloproteinase-9 (MMP-9) gene, a crucial mediator of vascular injury. PPARγ-mediated transrepression of the MMP-9 gene was dependent on the presence of the high-mobility group A1 (HMGA1) protein, a gene highly expressed in vascular smooth muscle cells, newly identified by oligonucleotide array expression analysis. Transrepression of MMP-9 by PPARγ and regulation by HMGA1 required PPARγ SUMOylation at K367. This process was associated with formation of a complex between PPARγ, HMGA1, and the SUMO E2 ligase Ubc9 (ubiquitin-like protein SUMO-1 conjugating enzyme). After PPARγ ligand stimulation, HMGA1 and PPARγ were recruited to the MMP-9 promoter, which facilitated binding of SMRT (silencing mediator of retinoic acid and thyroid hormone receptor), a nuclear corepressor involved in transrepression. The relevance of HMGA1 for vascular PPARγ signaling was underlined by the complete absence of vascular protection through a PPARγ ligand in HMGA1 −/− mice after arterial wire injury. Conclusions: The present data suggest that ligand-dependent formation of HMGA1-Ubc9-PPARγ complexes facilitates PPARγ SUMOylation, which results in the prevention of SMRT corepressor clearance and induction of MMP-9 transrepression. These data provide new information on PPARγ-dependent vascular transcriptional regulation and help us to understand the molecular consequences of therapeutic interventions with PPARγ ligands in the vasculature.

Background— Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited disorder that causes sudden death and right ventricular heart failure in the young. Clinical data suggest that competitive sports may provoke ARVC in susceptible persons. Genetically, loss-of-function mutations in desmosomal proteins (plakophilin, desmoplakin, or plakoglobin) have been associated with ARVC. To test the hypothesis that reduced desmosomal protein expression causes ARVC, we studied the cardiac effects of heterozygous plakoglobin deficiency in mice. Methods and Results— Ten-month-old heterozygous plakoglobin-deficient mice (plakoglobin +/− ) had increased right ventricular volume, reduced right ventricular function, and spontaneous ventricular ectopy (all P +/− hearts had spontaneous ventricular tachycardia of right ventricular origin and prolonged right ventricular conduction times compared with wild-type hearts. Endurance training accelerated the development of right ventricular dysfunction and arrhythmias in plakoglobin +/− mice. Histology and electron microscopy did not identify right ventricular abnormalities in affected animals. Conclusions— Heterozygous plakoglobin deficiency provokes ARVC. Manifestation of the phenotype is accelerated by endurance training. This suggests a functional role for plakoglobin and training in the development of ARVC.

Objective: To investigate the global changes accompanying human dilated cardiomyopathy (DCM) we performed a large-scale expression screen using myocardial biopsies from a group of DCM patients with moderate heart failure. By hierarchical clustering and functional annotation of the deregulated genes we examined extensive changes in the cellular and molecular processes associated to DCM. Methods: The expression profiles were obtained using a whole genome covering library (UniGene RZPD1) comprising 30 336 cDNA clones and amplified RNA from myocardiac biopsies from 10 DCM patients in comparison to tissue samples from four non-failing, healthy donors. Results: By setting stringent selection criteria 364 differentially expressed, sequence-verified non-redundant transcripts were identified with a false discovery rate of

Purpose: Pressure overload (PO) in mice leads to left ventricular hypertrophy (LVH) and heart failure (HF) with significant sex-differences in cardiac function and gene expression in late stage of disease progression. At early stages of compensated hypertrophy, systolic function of the heart is altered but does not differ between sexes. The aim of this study was to identify pathways with an early sex dependent response to PO that may contribute to the functional changes that appear when LVH transits to HF. Methods:Male and femalemice underwent transverse aortic constriction (TAC). Morphological and functional parameters were obtained after two weeks and the left ventricular free wall was harvested. RNA isolated from 16 individual ventricles was analyzed on Affimetrix Micro-Arrays, containing 22.600 genetags. The mRNA expression from selected genes with a sex-specific regulation induced by TAC was validated using realtime PCR. Results: TAC for 2 weeks led to hemodynamic changes and LVH in male and in female mice. Analysis of gene expression revealed a large number of dysregulated genes including markers of hypertrophy like αactin, ANP, BNP and CTGF. Significant differences in gene expression between both sexes were found in sham animals including numerous Y-linked and X-linked genes. TAC differently regulated 653 genes in females and males. Genes involved in extracellular matrix synthesis, i.e. Col1, 3 & 5 and Mmp2 revealed a 2-fold stronger upregulation in males. Metabolic, mitochondrial and proteasome regulated genes frequently showed stronger relative upregulation in females. For the first time we could show that TAC regulates Mef2c and Ctnnbl1 in a sexspecific manner. Conclusion: The early response to PO in mice leads to a sex-dependent gene regulation when the morphology and the functional parameters do not reveal sex differences yet. We identified pathways that provide the basis for the sex-differences in the functional adaptation of the heart observed at later stages of cardiac hypertrophy and transition into heart failure.