The Effects of Diet and the Microbiome on Reproduction and Longevity: A Comparative Review Across 5 Continents

Human longevity and quality of life remain key societal drivers, but the healthcare burden of diet-related chronic diseases is economically unmanageable. In recent years, it has been proposed that the composition and abundance profiles of certain bacterial phyla in the gut are indicators of malnutrition, and ill health. But, how much does the gut microbiome and diet really contribute to outcomes? The description of three microbial enterotypes remains to be verified, as does its significance for health tested across continents and within people who migrate from one lifestyle to another. It is not simply that the diet of one region causes a dominance of microbes not found in another, or that it leads to adverse outcomes. Venezuelans have a diet different from Americans, yet life expectancy and causes of death are somewhat similar. Pregnant east African women have very different diets to Europeans, yet excluding infectious disease exposure, successful reproduction occurs in both. The microbiome has added another layer of complexity to nutrition management, but with modern sequencing platforms and bioinformatics tools, integration of this information will soon be feasible. In providing dietary recommendations, especially during pregnancy, more consideration is needed on reducing exposure to environmental toxins, encouraging intake of fermented foods and those designed to improve fetal and infant development. By focusing on the first 1000 days of life, it may be possible to improve how we produce and allocate food, and provide a newborn with the best chance of leading a productive life

BOSS-LDG: A Novel Computational Framework that Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery

We present a novel computational framework that connects Blue Waters, the NSF-supported, leadership-class supercomputer operated by NCSA, to the Laser Interferometer Gravitational-Wave Observatory (LIGO) Data Grid via Open Science Grid technology. To enable this computational infrastructure, we configured, for the first time, a LIGO Data Grid Tier-1 Center that can submit heterogeneous LIGO workflows using Open Science Grid facilities. In order to enable a seamless connection between the LIGO Data Grid and Blue Waters via Open Science Grid, we utilize Shifter to containerize LIGO's workflow software. This work represents the first time Open Science Grid, Shifter, and Blue Waters are unified to tackle a scientific problem and, in particular, it is the first time a framework of this nature is used in the context of large scale gravitational wave data analysis. This new framework has been used in the last several weeks of LIGO's second discovery campaign to run the most computationally demanding gravitational wave search workflows on Blue Waters, and accelerate discovery in the emergent field of gravitational wave astrophysics. We discuss the implications of this novel framework for a wider ecosystem of Higher Performance Computing users.Comment: 10 pages, 10 figures. Accepted as a Full Research Paper to the 13th IEEE International Conference on eScienc

Building a tuberculosis-free world: The Lancet Commission on tuberculosis

___Key messages___ The Commission recommends five priority investments to achieve a tuberculosis-free world within a generation. These investments are designed to fulfil the mandate of the UN High Level Meeting on tuberculosis. In addition, they answer

Deploying a Large Petascale System: The Blue Waters Experience

AbstractDeployment of a large parallel system is typically a very complex process, involving several steps of preparation, delivery, installation, testing and acceptance. Despite the availability of various petascale machines currently, the steps and lessons from their deployment are rarely described in the literature. This paper presents the experiences observed during the deployment of Blue Waters, the largest supercomputer ever built by Cray and one of the most powerful machines currently available for open science. The presentation is focused on the final deployment steps, where the system was intensively tested and accepted by NCSA. After a brief introduction of the Blue Waters architecture, a detailed description of the set of acceptance tests employed is provided, including many of the obtained results. This is followed by the major lessons learned during the process. Those experiences and lessons should be useful to guide similarly complex deployments in the future