Biology subjects

Khattab, A.

Publications and source records attributed to Khattab, A..

3 recordsLinked to original sources

bioRxiv2024

AoUPRS: A Cost-Effective and Versatile PRS Calculator for the All of Us Program

BackgroundThe All of Us (AoU) Research Program provides a comprehensive genomic dataset to accelerate health research and medical breakthroughs. Despite its potential, researchers face significant challenges, including high costs and inefficiencies associated with data extraction and analysis. AoUPRS addresses these challenges by offering a versatile and cost-effective tool for calculating polygenic risk scores (PRS), enabling both experienced and novice researchers to leverage the AoU dataset for significant genomic discoveries. ResultsAoUPRS is implemented in Python and utilizes the Hail framework for genomic data analysis. It offers two distinct approaches for PRS calculation: the Hail MatrixTable (MT) and the Hail Variant Dataset (VDS). The MT approach provides a dense representation of genotype data, while the VDS approach offers a sparse representation, significantly reducing computational costs. In performance evaluations, the VDS approach demonstrated a cost reduction of up to 99.51% for smaller scores and 85% for larger scores compared to the MT approach. Both approaches yielded similar predictive power, as shown by logistic regression analyses of PRS for coronary artery disease, atrial fibrillation, and type 2 diabetes. The empirical cumulative distribution functions (ECDFs) for PRS values further confirmed the consistency between the two methods. ConclusionsAoUPRS is a versatile and cost-effective tool that addresses the high costs and inefficiencies associated with PRS calculations using the AoU dataset. By offering both dense and sparse data processing approaches, AoUPRS allows researchers to choose the approach best suited to their needs, facilitating genomic discoveries. The tools open-source availability on GitHub, coupled with detailed documentation and tutorials, ensures accessibility and ease of use for the scientific community.

bioinformatics↗

bioRxiv2022

Persistent Inflammatory Lipotoxicity Impedes Pancreatic β-cell Function in Diet-Induced Obese Mice Despite Correction of Glucotoxicity

Insulin resistance is a hallmark feature of Type 2 Diabetes (T2D), but the progression of the disease is closely linked to a deterioration in {beta}-cell mass and function. While the precise mechanisms of {beta}-cell failure are unclear, chronic hyperglycemia (glucotoxicity) and dyslipidemia (lipotoxicity) are considered contributing factors; however, the relative importance of these insults on {beta}-cell function remains controversial. To examine this, we dissociated glucotoxicity from lipotoxicity using a high-fat diet (HFD)-fed mouse model of T2D and the glucose-lowering SGLT2 inhibitor, canagliflozin (CANA). As expected, HFD-feeding impaired glucose tolerance and isolated islet function. However, despite improvements in glucose tolerance and indices of {beta}-cell insulin secretory function in vivo, CANA failed to restore isolated {beta}-cell function. Shotgun lipidomics analysis of isolated islets revealed that HFD-feeding induced glycerophospholipid remodeling with a persistent increase in arachidonic acid (20:4)-enriched molecular species. Further analysis revealed that lysophosphatidylcholine (LPC) was the predominant lipid class elevated in HFD islets following correction of glucotoxicity with CANA. In follow-up experiments, LPC stimulations acutely and dose-dependently impaired glucose-stimulated insulin secretion (GSIS) in isolated wild-type islets, mechanistically linking this lipid class to {beta}-cell dysfunction. Our findings indicate that persistent inflammatory lipotoxicity impedes {beta}-cell function in diet-induced obese (DIO) rodents even after normalization of hyperglycemia. If replicated in humans, these data suggest that interventions targeting lipotoxicity may be beneficial for the long-term protection of pancreatic {beta}-cell function in T2D.

physiology↗

bioRxiv2018

Asymmetry in catalysis by Thermotoga maritima membrane-bound pyrophosphatase demonstrated by a non-phosphorous allosteric inhibitor

Membrane-bound pyrophosphatases are homodimeric integral membrane proteins that hydrolyse pyrophosphate into orthophosphates, coupled to the active transport of protons or sodium ions across membranes. They are important in the life cycle of bacteria, archaea, plants, and protist parasites, but no homologous proteins exist in vertebrates, making them a promising drug target. Here, we report the first non-phosphorous allosteric inhibitor (Ki of 1.8 {+/-} 0.3 M) of the thermophilic bacterium Thermotoga maritima membrane-bound pyrophosphatase and its bound structure at 3.7 [A] resolution together with the substrate analogue imidodiphosphate. The unit cell contains two protein homodimers, each binding a single inhibitor dimer near the exit channel, creating a hydrophobic clamp that inhibits the movement of {beta}-strand 1-2 during pumping, and thus preventing the hydrophobic gate from opening. This asymmetry of inhibitor binding with respect to each homodimer provide the first clear demonstration of asymmetry in the catalytic cycle of membrane-bound pyrophosphatases.

molecular biology↗