Performance Evaluation of Time-Frequency Distributions for ECG Signal Analysis

The non-stationary and multi-frequency nature of biomedical signal activities makes the use of time-frequency distributions (TFDs) for analysis inevitable. Time-frequency analysis provides simultaneous interpretations in both time and frequency domain enabling comprehensive explanation, presentation and interpretation of electrocardiogram (ECG) signals. The diversity of TFDs and specific properties for each type show the need to determine the best TFD for ECG analysis. In this study, a performance evaluation of five TFDs in term of ECG abnormality detection is presented. The detection criteria based on extracted features from most important ECG signal components (QRS) to detect normal and abnormal cases. This is achieved by estimating its energy concentration magnitude using the TFDs. The TFDs analyse ECG signals in one-minute interval instead of conventional time domain approach that analyses based on beat or frame containing several beats. The MIT-BIH normal sinus rhythm ECG database total records of 18 long-term ECG sampled at 128 Hz have been analysed. The tested TFDs include Dual-Tree Wavelet Transform, Spectrogram, Pseudo Wigner-Ville, Choi-Williams, and Born-Jordan. Each record is divided into one-minute slots, which is not considered previously, and analysed. The sample periods (slots) are randomly selected ten minutes interval for each record. This result with 99.44% detection accuracy for 15,735 ECG beats shows that Choi-Williams distribution is most reliable to be used for heart problem detection especially in automated systems that provide continuous monitoring for long time duration.     

Retrograde access via the popliteal artery to facilitate the re‐entry technique for recalcitrant superficial femoral artery Chronic total occlusions

Subintimal recanalization is beneficial in selected patients with peripheral chronic total occlusions (CTO). However, in complex cases, re‐entry into the true arterial lumen may prove to be unsuccessful with a conventional guidewire or a re‐entry catheter when using standard femoral artery access. Our case series describes these technical dilemmas along with strategies that can be utilized to overcome these challenges. © 2011 Wiley‐Liss, Inc.     

Lysine11-Linked Polyubiquitination of the AnkB F-Box Effector of Legionella pneumophila

The fate of the polyubiquitinated protein is determined by the lysine linkages involved in the polymerization of the ubiquitin monomers, which has seven lysine residues (K⁶, K¹¹, K²⁷, K²⁹, K³³, K⁴⁸, and K⁶³). The translocated AnkB effector of the intravacuolar pathogen Legionella pneumophila is a bona fide F-box protein, which is localized to the cytosolic side of the Legionella-containing vacuole (LCV) and is essential for intravacuolar proliferation within macrophages and amoebae. The F-box domain of AnkB interacts with the host SCF1 E3 ubiquitin ligase that triggers the decoration of the LCV with K⁴⁸-linked polyubiquitinated proteins that are targeted for proteasomal degradation. Here we report that AnkB becomes rapidly polyubiquitinated within the host cell, and this modification is independent of the F-box domain of AnkB, indicating host-mediated polyubiquitination. We show that the AnkB effector interacts specifically with the host E3 ubiquitin ligase Trim21. Mass spectrometry analyses have shown that AnkB is modified by K¹¹-linked polyubiquitination, which has no effect on its stability. This work shows the first example of K¹¹-linked polyubiquitination of a bacterial effector and its interaction with the host Trim21 ubiquitin ligase.     

Application of artificial intelligence using a novel EUS-based convolutional neural network model to identify and distinguish benign and malignant hepatic masses

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Management of Type 2 Diabetes: Current Strategies,Unfocussed Aspects,Challenges, and Alternatives

Type 2 diabetes mellitus (T2DM) accounts for >90% of the cases of diabetes in adults. Resistance to insulin action is the major cause that leads to chronic hyperglycemia in diabetic patients. T2DM is the consequence of activation of multiple pathways and factors involved in insulin resistance and β-cell dysfunction. Also, the etiology of T2DM involves the complex interplay between genetics and environmental factors. This interplay can be governed efficiently by lifestyle modifications to achieve better management of diabetes. The present review aims at discussing the major factors involved in the development of T2DM that remain unfocussed during the anti-diabetic therapy. The review also focuses on lifestyle modifications that are warranted for the successful management of T2DM. In addition, it attempts to explain flaws in current strategies to combat diabetes. The employability of phytoconstituents as multitargeting molecules and their potential use as effective therapeutic adjuvants to first line hypoglycemic agents to prevent side effects caused by the synthetic drugs are also discussed.     

Detection and reporting of RB1 promoter hypermethylation in diagnostic screening

Background: RB1 gene screening aids clinical management and genetic counselling in retinoblastoma families. Here we present epigenetic changes identified during routine molecular RB1 screening of tumor and blood samples. Complications in interpreting RB1 methylation are discussed.

Materials and Methods: Screening for RB1 promoter hypermethylation was carried out by Methylation Specific PCR (MS-PCR) after bisulphite modification of DNA. The cohort consisted of 315 tumors, and 204 blood samples, from 497 retinoblastoma patients (22 patients had both blood and tumor screened).

Results: 11.4% of retinoblastoma tumors had promoter hypermethylation. It was not routinely detected in blood samples, or in tumors with two other oncogenic RB1 changes. One blood sample had promoter hypermethylation due to an X;13 translocation. One tumor had low level methylation as well as two other oncogenic changes. Histopathological analysis of a small subset of age-matched tumors was similar regardless of promoter hypermethylation status.

Conclusions: Promoter hypermethylation was detected in 11.4% of the retinoblastoma tumors and should be tested for in routine RB1 screening programmes. Constitutional samples are not expected to display RB1 hypermethylation. In a small proportion of cases it may not be possible to use this somatic change in patient management.