Cell systems · 2018
Integrative Personal Omics Profiles during Periods of Weight Gain and Loss.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Piening Brian D, Zhou Wenyu, Contrepois Kévin, Röst Hannes, Gu Urban Gucci Jijuan, Mishra Tejaswini, Hanson Blake M, Bautista Eddy J, Leopold Shana, Yeh Christine Y, Spakowicz Daniel, Banerjee Imon, Chen Cynthia, Kukurba Kimberly, Perelman Dalia, Craig Colleen, Colbert Elizabeth, Salins Denis, Rego Shannon, Lee Sunjae, Zhang Cheng, Wheeler Jessica, Sailani M Reza, Liang Liang, Abbott Charles, Gerstein Mark, Mardinoglu Adil, Smith Ulf, Rubin Daniel L, Pitteri Sharon, Sodergren Erica, McLaughlin Tracey L, Weinstock George M, Snyder Michael P
Аннотация
Advances in omics technologies now allow an unprecedented level of phenotyping for human diseases, including obesity, in which individual responses to excess weight are heterogeneous and unpredictable. To aid the development of better understanding of these phenotypes, we performed a controlled longitudinal weight perturbation study combining multiple omics strategies (genomics, transcriptomics, multiple proteomics assays, metabolomics, and microbiomics) during periods of weight gain and loss in humans. Results demonstrated that: (1) weight gain is associated with the activation of strong inflammatory and hypertrophic cardiomyopathy signatures in blood; (2) although weight loss reverses some changes, a number of signatures persist, indicative of long-term physiologic changes; (3) we observed omics signatures associated with insulin resistance that may serve as novel diagnostics; (4) specific biomolecules were highly individualized and stable in response to perturbations, potentially representing stable personalized markers. Most data are available open access and serve as a valuable resource for the community.