Literature DB >> 30098323

Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics.

Nikolaos Perakakis1, Alireza Yazdani2, George E Karniadakis2, Christos Mantzoros3.   

Abstract

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Mesh：

Year:  2018        PMID： 30098323      PMCID： PMC6325641          DOI： 10.1016/j.metabol.2018.08.002

Source DB:  PubMed          Journal:  Metabolism        ISSN： 0026-0495            Impact factor:   8.694


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  73 in total

1.  Plasma metabolomics in adults with cystic fibrosis during a pulmonary exacerbation: A pilot randomized study of high-dose vitamin D3 administration.

Authors:  Jessica A Alvarez; Elizabeth Y Chong; Douglas I Walker; Joshua D Chandler; Ellen S Michalski; Ruth E Grossmann; Karan Uppal; Shuzhao Li; Jennifer K Frediani; Rabindra Tirouvanziam; ViLinh T Tran; Vin Tangpricha; Dean P Jones; Thomas R Ziegler
Journal:  Metabolism       Date:  2017-02-11       Impact factor: 8.694

2.  Analysis of metabolomic data using support vector machines.

Authors:  Sankar Mahadevan; Sirish L Shah; Thomas J Marrie; Carolyn M Slupsky
Journal:  Anal Chem       Date:  2008-09-04       Impact factor: 6.986

3.  PharmacoGx: an R package for analysis of large pharmacogenomic datasets.

Authors:  Petr Smirnov; Zhaleh Safikhani; Nehme El-Hachem; Dong Wang; Adrian She; Catharina Olsen; Mark Freeman; Heather Selby; Deena M A Gendoo; Patrick Grossmann; Andrew H Beck; Hugo J W L Aerts; Mathieu Lupien; Anna Goldenberg; Benjamin Haibe-Kains
Journal:  Bioinformatics       Date:  2015-12-09       Impact factor: 6.937

Review 4.  Metabolomics in dyslipidemia.

Authors:  Hua Chen; Hua Miao; Ya-Long Feng; Ying-Yong Zhao; Rui-Chao Lin
Journal:  Adv Clin Chem       Date:  2014       Impact factor: 5.394

5.  Complement factor H variant increases the risk of age-related macular degeneration.

Authors:  Jonathan L Haines; Michael A Hauser; Silke Schmidt; William K Scott; Lana M Olson; Paul Gallins; Kylee L Spencer; Shu Ying Kwan; Maher Noureddine; John R Gilbert; Nathalie Schnetz-Boutaud; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

Review 6.  Metabolomics in cancer biomarker discovery: current trends and future perspectives.

Authors:  Emily G Armitage; Coral Barbas
Journal:  J Pharm Biomed Anal       Date:  2013-09-14       Impact factor: 3.935

Review 7.  Genome-wide association studies of obesity and metabolic syndrome.

Authors:  Tove Fall; Erik Ingelsson
Journal:  Mol Cell Endocrinol       Date:  2012-09-03       Impact factor: 4.102

Review 8.  Noncoding RNAs in Cancer Cell Plasticity.

Authors:  Jiahui Xu; Suling Liu
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

9.  Identifying multi-layer gene regulatory modules from multi-dimensional genomic data.

Authors:  Wenyuan Li; Shihua Zhang; Chun-Chi Liu; Xianghong Jasmine Zhou
Journal:  Bioinformatics       Date:  2012-08-03       Impact factor: 6.937

10.  Plasma fatty acyl-carnitines during 8 weeks of overfeeding: relation to diet energy expenditure and body composition: the PROOF study.

Authors:  George A Bray; Leanne M Redman; Lilian de Jonge; Jennifer Rood; Elizabeth F Sutton; Steven R Smith
Journal:  Metabolism       Date:  2018-02-08       Impact factor: 13.934
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  25 in total

1.  The "Virtual Digital Twins" Concept in Precision Nutrition.

Authors:  Kalliopi Gkouskou; Ioannis Vlastos; Petros Karkalousos; Dimitrios Chaniotis; Despina Sanoudou; Aristides G Eliopoulos
Journal:  Adv Nutr       Date:  2020-11-16       Impact factor: 8.701

Review 2.  GEOFFREY HARRIS PRIZE LECTURE 2018: Novel pathways regulating neuroendocrine function, energy homeostasis and metabolism in humans.

Authors:  Aimilia Eirini Papathanasiou; Eric Nolen-Doerr; Olivia M Farr; Christos S Mantzoros
Journal:  Eur J Endocrinol       Date:  2019-02-01       Impact factor: 6.664

Review 3.  Synthetic biomarkers: a twenty-first century path to early cancer detection.

Authors:  Gabriel A Kwong; Sharmistha Ghosh; Lena Gamboa; Christos Patriotis; Sudhir Srivastava; Sangeeta N Bhatia
Journal:  Nat Rev Cancer       Date:  2021-09-06       Impact factor: 60.716

Review 4.  Role of Omics in Migraine Research and Management: A Narrative Review.

Authors:  Pragya Chaturvedi; Rahul Khan; Prachi Sahu; Abhilash Ludhiadch; Gagandeep Singh; Anjana Munshi
Journal:  Mol Neurobiol       Date:  2022-07-07       Impact factor: 5.682

Review 5.  Animal Models for the Study of Nucleic Acid Immunity: Novel Tools and New Perspectives.

Authors:  Isabelle K Vila; Maxence Fretaud; Dimitrios Vlachakis; Nadine Laguette; Christelle Langevin
Journal:  J Mol Biol       Date:  2020-08-26       Impact factor: 5.469

6.  Obesity modifies the stoichiometry of mitochondrial proteins in a way that is distinct to the subcellular localization of the mitochondria in skeletal muscle.

Authors:  Katon A Kras; Paul R Langlais; Nyssa Hoffman; Lori R Roust; Tonya R Benjamin; Elena A De Filippis; Valentin Dinu; Christos S Katsanos
Journal:  Metabolism       Date:  2018-09-22       Impact factor: 8.694

Review 7.  Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

Authors:  Anjun Ma; Adam McDermaid; Jennifer Xu; Yuzhou Chang; Qin Ma
Journal:  Trends Biotechnol       Date:  2020-03-26       Impact factor: 19.536

Review 8.  Integrative Omics to Characterize and Classify Pulmonary Vascular Disease.

Authors:  Jane A Leopold; Anna R Hemnes
Journal:  Clin Chest Med       Date:  2021-01-12       Impact factor: 2.878

9.  A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism.

Authors:  Rossella Alfano; Marc Chadeau-Hyam; Akram Ghantous; Pekka Keski-Rahkonen; Leda Chatzi; Almudena Espin Perez; Zdenko Herceg; Manolis Kogevinas; Theo M de Kok; Tim S Nawrot; Alexei Novoloaca; Chirag J Patel; Costanza Pizzi; Nivonirina Robinot; Franca Rusconi; Augustin Scalbert; Jordi Sunyer; Roel Vermeulen; Martine Vrijheid; Paolo Vineis; Oliver Robinson; Michelle Plusquin
Journal:  Metabolism       Date:  2020-06-15       Impact factor: 8.694

10.  Empagliflozin Improves Metabolic and Hepatic Outcomes in a Non-Diabetic Obese Biopsy-Proven Mouse Model of Advanced NASH.

Authors:  Nikolaos Perakakis; Pavlina Chrysafi; Michael Feigh; Sanne Skovgard Veidal; Christos S Mantzoros
Journal:  Int J Mol Sci       Date:  2021-06-13       Impact factor: 5.923
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