Metabolomics technology and bioinformatics for precision medicine

RK Azad, V Shulaev - Briefings in bioinformatics, 2019 - academic.oup.com
Precision medicine is rapidly emerging as a strategy to tailor medical treatment to a small
group or even individual patients based on their genetics, environment and lifestyle …

[HTML][HTML] Multi-omic approaches to identify genetic factors in metabolic syndrome

KC Clark, AE Kwitek - Comprehensive Physiology, 2021 - ncbi.nlm.nih.gov
Abstract Metabolic Syndrome (MetS) is a highly heritable disease and a major public health
burden worldwide. MetS diagnosis criteria is met by the simultaneous presence of any three …

A large-scale genome–lipid association map guides lipid identification

V Linke, KA Overmyer, IJ Miller, DR Brademan… - Nature …, 2020 - nature.com
Despite the crucial roles of lipids in metabolism, we are still at the early stages of
comprehensively annotating lipid species and their genetic basis. Mass spectrometry–based …

The regulatory landscape of multiple brain regions in outbred heterogeneous stock rats

D Munro, T Wang, AS Chitre, O Polesskaya… - Nucleic acids …, 2022 - academic.oup.com
Heterogeneous Stock (HS) rats are a genetically diverse outbred rat population that is
widely used for studying genetics of behavioral and physiological traits. Mapping …

Fatty acid synthase correlates with prognosis-related abdominal adipose distribution and metabolic disorders of clear cell renal cell carcinoma

W Xu, X Hu, A Anwaier, J Wang, W Liu… - Frontiers in molecular …, 2021 - frontiersin.org
Purpose: Lipid metabolism reprogramming is a major pathway in tumor evolution. This study
investigated fatty acid synthase (FASN) mRNA expression in anthropometric adipose tissue …

[HTML][HTML] Искусственный интеллект в диабетологии

ВВ Климонтов, ВБ Бериков, ОВ Сайк - Сахарный диабет, 2021 - cyberleninka.ru
В обзоре представлены возможности применения искусственного интеллекта для
изучения механизмов развития сахарного диабета (СД) и создания новых технологий …

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse

D Gomez-Cabrero, S Tarazona, I Ferreirós-Vidal… - Scientific data, 2019 - nature.com
Multi-omics approaches use a diversity of high-throughput technologies to profile the
different molecular layers of living cells. Ideally, the integration of this information should …

Systems genetics of the Drosophila metabolome

S Zhou, F Morgante, MS Geisz, J Ma… - Genome …, 2020 - genome.cshlp.org
How effects of DNA sequence variants are transmitted through intermediate
endophenotypes to modulate organismal traits remains a central question in quantitative …

Artificial intelligence in diabetology

VV Klimontov, VB Berikov, OV Saik - Diabetes mellitus, 2021 - dia-endojournals.ru
This review presents the applications of artificial intelligence for the study of the mechanisms
of diabetes development and generation of new technologies of its prevention, monitoring …

CMap analysis identifies Atractyloside as a potential drug candidate for type 2 diabetes based on integration of metabolomics and transcriptomics

H Li, X Shi, H Jiang, J Kang, M Yu, Q Li… - Journal of Cellular …, 2020 - Wiley Online Library
Background This research aimed at exploring the mechanisms of alterations of metabolites
and pathways in T2D from the perspective of metabolomics and transcriptomics, as well as …