Inflammation is a condition through which the body responds to infection or tissue injury. It is typically characterized by the expression of a plethora of genes involved in inflammation, that are regulated by transcription factors, transcriptional co-regulators, and chromatin remodeling events. Differential mitotically heritable patterns of gene expression without changes in the DNA sequence are essentially controlled by epigenetic regulation. Epigenetic mechanisms, such as histone modifications and DNA methylation have a profound effect on inflammatory gene transcription. Histone protein modifications, which include acetylation and the ubiquitination of lysine residues, the methylation of lysine and arginine, and the phosphorylation of serine have been found to modulate chromatin dynamics, thus altering the levels of gene expression. Histone acetyltransferases (HATs) and histone deacetylases (HDACs) regulate the addition and removal of acetyl groups from lysine residues on histones respectively. Nuclear factor (NF)-κB, tumor necrosis factor (TNF)-α and interleukin (IL)-6 are the pro-inflammatory genes known to promote inflammatory responses in cells. By contrast, 15-lipoxygenase-1 (15-LOX-1) and monoamine oxidase-A (MAO-A) are the genes that can act against inflammation in certain specific conditions. 15-LOX-1, a lipid peroxidative enzyme, is associated with the development of inflammatory disorders, such as atherosclerosis, rheumatoid arthritis, asthma and renal injury. MAO-A catalyzes degradation of biogenic amines and has been reported to cause oxidative stress, atherosclerosis and neuroinflammation. 15-LOX-1 has been shown to be co-expressed along with MAO-A, in both primary human monocytes and A549 lung carcinoma cells upon treatment with Th2 cytokines, such as IL-4 and IL-13. The present review aimed to discuss the HAT-and HDAC-mediated epigenetic machinery which governs the expression of pro-inflammatory genes, such as IL-6, TNF-α, etc., as well as the expression of anti-inflammatory genes, such as 15-LOX-1 and MAO-A, responsible for modulating the process of inflammation. On the whole, the present review aims to provide deeper insight into the underlying molecular mechanisms involved in the epigenetic regulation of inflammation, which may have novel implications in designing small molecule inhibitors that target the epigenetic machinery for the effective treatment of a variety of inflammation-related diseases. Contents1. Introduction 2. Role of HAT and HDAC in regulating pro-inflammatory gene expression 3. Role of HAT and HDAC in regulating anti-inflammatory gene expression 4. Conclusion and future perspectives

The stochastic nature of the human heart, a complex biological system, is evident from electrocardiogram (ECG) signals, which are weak, non-linear and non-stationary signals. These temporal variations of electromagnetic pulses emanated from the heart are instrumental in indicating the cardiac health. The Empirical Mode Decomposition (EMD) technique was employed in order to decompose a total of 64 ECG signal data of arrhythmic and normal subjects, obtained from widely used MIT-BIH databases, into a finite number of Intrinsic Mode Functions (IMFs). The rationale behind using this strategy was to extract non-linear features of ECG signals which are not explicitly expressed, while keeping the original signal unaltered. Following removal of non-stationary noises from the ECG signals by the Savitzky-Golay (SG) filter, popular non-linear parameter Hurst Exponent (H) was estimated for every IMF by employing the R/S technique. A distinct difference between H values of 1st IMFs between normal individuals and arrhythmia affected patients was identified. This observation was further validated through an age-based and gender-based analysis, which demonstrated a unique alteration pattern with age. The study showed 94.92% probability in detection of arrhythmia in a patient. Adopting this EMD-based procedure for ECG data analysis and disease prediction may assist in reducing our dependence on intuition-based diagnosis of ECG reports by medical practitioners and may provide novel insights into the functioning of the human heart which might help develop new biomedical strategies to combat cardiac disorders.