Ke Xiao

Long noncoding RNA Chast promotes cardiac remodeling

Inhibition of the long noncoding RNA Chast prevents pressure overload–induced cardiac remodeling in mice. The missing lnc in cardiac hypertrophy RNA that does not code for a protein comprises a large portion of the human genome. These so-called noncoding RNAs are emerging as important players in disease pathogenesis, yet their functional roles are not always well known. Viereck et al. have discovered a new long noncoding RNA (lncRNA) that promotes cardiac remodeling and hypertrophy in mice, which could one day be targeted with therapeutics to treat human cardiovascular diseases. The identified lncRNA, which the authors named Chast (for “cardiac hypertrophy–associated transcript”), was discovered to be up-regulated in hypertrophic mouse hearts. When mouse and human heart cells expressed Chast, they tended to be larger than their normal counterparts. By silencing Chast with antisense oligonucleotides, mice either did not develop hypertrophy or were rescued from established disease. In a step toward translation, the authors discovered a human homolog, CHAST, that similarly caused cells in a dish to enlarge. Additional investigation in patients will confirm the relevance of this lncRNA in human disease and whether it is indeed a promising target for treating cardiac hypertrophy and heart failure. Recent studies highlighted long noncoding RNAs (lncRNAs) to play an important role in cardiac development. However, understanding of lncRNAs in cardiac diseases is still limited. Global lncRNA expression profiling indicated that several lncRNA transcripts are deregulated during pressure overload–induced cardiac hypertrophy in mice. Using stringent selection criteria, we identified Chast (cardiac hypertrophy–associated transcript) as a potential lncRNA candidate that influences cardiomyocyte hypertrophy. Cell fractionation experiments indicated that Chast is specifically up-regulated in cardiomyocytes in vivo in transverse aortic constriction (TAC)–operated mice. In accordance, CHAST homolog in humans was significantly up-regulated in hypertrophic heart tissue from aortic stenosis patients and in human embryonic stem cell–derived cardiomyocytes upon hypertrophic stimuli. Viral-based overexpression of Chast was sufficient to induce cardiomyocyte hypertrophy in vitro and in vivo. GapmeR-mediated silencing of Chast both prevented and attenuated TAC-induced pathological cardiac remodeling with no early signs on toxicological side effects. Mechanistically, Chast negatively regulated Pleckstrin homology domain–containing protein family M member 1 (opposite strand of Chast), impeding cardiomyocyte autophagy and driving hypertrophy. These results indicate that Chast can be a potential target to prevent cardiac remodeling and highlight a general role of lncRNAs in heart diseases.

Development of Long Noncoding RNA-Based Strategies to Modulate Tissue Vascularization

Background Long noncoding ribonucleic acids (lncRNAs) are a subclass of regulatory noncoding ribonucleic acids for which expression and function in human endothelial cells and angiogenic processes is not well studied. Objectives The authors discovered hypoxia-sensitive human lncRNAs via next-generation ribonucleic acid sequencing and microarray approaches. To address their functional importance in angiogenic processes, several endothelial lncRNAs were characterized for their angiogenic characteristics in vitro and ex vivo. Methods Ribonucleic acid sequencing and microarray-derived data showed specific endothelial lncRNA expression changes after hypoxia. Validation experiments confirmed strong hypoxia-dependent activation of 2 intergenic lncRNAs: LINC00323 and MIR503HG. Results Silencing of these lncRNA transcripts led to angiogenic defects, including repression of growth factor signaling and/or the key endothelial transcription factor GATA2. Endothelial loss of these hypoxia-driven lncRNAs impaired cell-cycle control and inhibited capillary formation. The potential clinical importance of these endothelial lncRNAs to vascular structural integrity was demonstrated in an ex vivo model of human induced pluripotent stem cell–based engineered heart tissue. Conclusions The authors report an expression atlas of human hypoxia-sensitive lncRNAs and identified 2 lncRNAs with important functions to sustain endothelial cell biology. LncRNAs hold great promise to serve as important future therapeutic targets of cardiovascular disease.

Mitochondrial long noncoding RNAs as blood based biomarkers for cardiac remodeling in patients with hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is a hereditary heart disease with a high risk for sudden cardiac death in young people. As a subtype, hypertrophic obstructive cardiomyopathy (HOCM) additionally has a left ventricular outflow gradient, showing stronger symptoms and requires a different treatment compared with hypertrophic nonobstructive cardiomyopathy (HNCM). In this study our aim was to investigate the regulation of mitochondrial and cardiac remodeling associated long noncoding RNAs (lncRNAs) in blood of patients affected with HOCM and HNCM. We included 28 HNCM, 57 HOCM, and 26 control inviduals. Already known mitochondrial and cardiac remodeling associated lncRNAs uc004cos.4, uc004coz.1, uc004cov.4, uc011mfi.2, uc022bqw.1, uc022bqs.1, and uc022bqu.1 were amplified in serum of these patients and correlated with clinical parameters. Long noncoding RNAs uc004cov.4 and uc022bqu.1 were significantly increased in patients with HOCM but not in patients with HNCM. With the use of receiver operator characteristic (ROC) curve analysis, lncRNAs uc004cov.4 and uc022bqu.1 were able to identify HOCM patients. In our study we evidenced that the specific mitochondrial long noncoding RNAs uc004cov.4 and uc022bqu.1 were upregulated in patients with HOCM and they were also able to identify HOCM and could be developed as useful clinical biomarkers in the future.

Pharmacogenomic strategies against resistance development in microbial infections.

There are several promising new strategies against resistance development in microbial infections. This paper discusses typical experimental and bioinformatical strategies to study the impact of infectious challenges on host-pathogen interaction, followed by several novel approaches and sources for new pharmaceutical strategies against resistance development. Genomics reveals promising new targets by providing a better understanding of cellular pathways, through the identification of new pathways, and by identifying new intervention areas, such as phospholipids, glycolipids, innate immunity, and antibiotic peptides. Additional antibiotic resources come from new genomes, including marine organisms, lytic phages and probiotic strategies. A system perspective regards all interactions between the host, pathogen and environment to develop new pharmacogenomic strategies against resistance development.

Noncoding RNAs in Heart Failure

Heart failure is a major contributor to the healthcare burden and mortality worldwide. Current treatment strategies are able to slow down the transition of healthy heart into the failing one; nevertheless better understanding of the complex genetic regulation of maladaptive remodeling in the failing heart is essential for new drug discovery. Noncoding RNAs are key epigenetic regulators of cardiac gene expression and thus significantly influence cardiac homeostasis and functions.In this chapter we will discuss characteristics of noncoding RNAs, especially miRNAs, long noncoding RNAs, and circular RNAs, and review recent evidences proving their profound involvement during different stages of heart failure progression. Several open questions still prevent the extensive use of noncoding RNA-modulating therapies in clinics; yet they are becoming an attractive target to define novel regulatory mechanisms in the heart. In-depth study of their interaction with gene networks will refine our current view of heart failure and revolutionize the drug development in coming years.

CA/C1 peptidases of the malaria parasites Plasmodium falciparum and P. berghei and their mammalian hosts--a bioinformatical analysis.

Abstract In genome-wide screens we studied CA/C1 peptidases of malaria-causing plasmodia and their hosts (man and mouse). For Plasmodium falciparum and P. berghei, several new CA/C1 peptidase genes encoding proteases of the L- and B-family with specific promoter modules were identified. In addition, two new human CA/C1 peptidase loci and one new mouse gene locus were found; otherwise, the sets of CA/C1 peptidase genes in man and mouse seem to be complete now. In each species studied there is a multitude of CA/C1 peptidases with lysosomal localization signals and partial functional overlap according to similar but subfamily-specific structures. Individual target structures in plasmodia include residues specifically different in CA/C1 peptidase subsite 2. This is of medical interest considering CA/C1 peptidase inhibition for chemotherapy in malaria, malignancies and other diseases. Promoter structures and mRNA regulation differ widely among CA/C1 peptidase subfamilies and between mammals and plasmodia. We characterized promoter modules conserved in mouse and man for the CA/C1 peptidase families B and L (with the L-like subfamily, F-like subfamily and mouse-specific J-like subfamily). RNA motif searches revealed conserved regulatory elements such as GAIT elements; plasmodial CA/C1 peptidase mRNA elements include ARE elements and mammalian mRNAs contain 15-lox DICE elements.

Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR- Supported in silico Modeling

Background In the face of growing resistance in malaria parasites to drugs, pharmacological combination therapies are important. There is accumulating evidence that methylene blue (MB) is an effective drug against malaria. Here we explore the biological effects of both MB alone and in combination therapy using modeling and experimental data. Results We built a model of the central metabolic pathways in P. falciparum. Metabolic flux modes and their changes under MB were calculated by integrating experimental data (RT-PCR data on mRNAs for redox enzymes) as constraints and results from the YANA software package for metabolic pathway calculations. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, chloroquine resistance based on pfmdr/ and pfcrt transporters, as well as pyrimethamine/sulfadoxine resistance (by mutations in DHF/DHPS), were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs. Conclusions Theoretical and experimental results support that methylene blue should, because of its resistance-breaking potential, be further tested as a key component in drug combination therapy efforts in holoendemic areas.

An Open Source Protein Gel Documentation System for Proteome Analyses

Data organization and data mining represents one of the main challenges for modern high throughput technologies in pharmaceutical chemistry and medical chemistry. The presented open source documentation and analysis system provides an integrated solution (tutorial, setup protocol, sources, executables) aimed at substituting the traditionally used lab-book. The data management solution provided incorporates detailed information about the processing of the gels and the experimental conditions used and includes basic data analysis facilities which can be easily extended. The sample database and User-Interface are available free of charge under the GNU license from http://webber.physik.uni-freiburg.de/~fallerd/tutorial.htm.

Blood-based microRNA profiling in patients with cardiac amyloidosis

Introduction Amyloidosis is caused by dysregulation of protein folding resulting in systemic or organ specific amyloid aggregation. When affecting the heart, amyloidosis can cause severe heart failure, which is associated with a high morbidity and mortality. Different subtypes of cardiac amyloidosis exist e.g. transthyretin cardiac amyloidosis and senile cardiac amyloidosis. Today, diagnostics is primarily based on cardiac biopsies and no clinically used circulating blood-based biomarkers existing. Therefore, our aim was to identify circulating microRNAs in patients with different forms of amyloidosis. Methods Blood was collected from healthy subjects (n = 10), patients with reduced ejection fraction (EF < 35%; n = 10), patients affected by transthyretin cardiac amyloidosis (n = 13) as well as senile cardiac amyloidosis (n = 11). After performing TaqMan array profiling, promising candidates, in particular miR-99a-5p, miR-122-5p, miR-27a-3p, miR-221-3p, miR-1180-3p, miR-155-5p, miR-339-3p, miR-574-3p, miR-342-3p and miR-329-3p were validated via quantitative real time PCR. Results The validation experiments revealed a significant upregulation of miR-339-3p in patients affected with senile cardiac amyloidosis compared to controls. This corresponded to the array profiling results. In contrast, there was no deregulation in the other patient groups. Conclusion MiR-339-3p was increased in blood of patients with senile cardiac amyloidosis. Therefore, miR-339-3p is a potential candidate as biomarker for senile cardiac amyloidosis in future studies. Larger patient cohorts should be investigated.

Anti-miR and gene therapy to heal the diseased heart

Cardiac remodelling leads to heart failure (HF) which represents a growing disease problem worldwide. Patients with HF have a high frequency of hospitalization and available pharmacological therapies are not sufficient to significantly reduce the high mortality. As standard care, physicians use potent blockers of e.g., single receptors in cardiac tissue thus impairing a single signalling cascade counteracting maladaptive cardiac deterioration. The identification of novel disease targets and the establishment of higher potency medication is thus an important aim in cardiovascular drug development. This strategy is supported by novel technologies sequencing whole genomes and highlighting the great majority of non-coding areas.