Posma JM - Search Results

1

Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study.

Eriksen R, Perez IG, Posma JM, Haid M, Sharma S, Prehn C, Thomas LE, Koivula RW, Bizzotto R, Prehn C, Mari A, Giordano GN, Pavo I, Schwenk JM, De Masi F, Tsirigos KD, Brunak S, Viñuela A, Mahajan A, McDonald TJ, Kokkola T, Rutter F, Teare H, Hansen TH, Fernandez J, Jones A, Jennison C, Walker M, McCarthy MI, Pedersen O, Ruetten H, Forgie I, Bell JD, Pearson ER, Franks PW, Adamski J, Holmes E, Frost G. Eriksen R, et al. Among authors: posma jm. EBioMedicine. 2020 Aug;58:102932. doi: 10.1016/j.ebiom.2020.102932. Epub 2020 Aug 4. EBioMedicine. 2020. PMID: 32763829 Free PMC article.

2

Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis.

Boubnovski Martell M, Linton-Reid K, Hindocha S, Chen M, Moreno P, Álvarez-Benito M, Salvatierra Á, Lee R, Posma JM, Calzado MA, Aboagye EO. Boubnovski Martell M, et al. Among authors: posma jm. NPJ Precis Oncol. 2024 Feb 3;8(1):28. doi: 10.1038/s41698-024-00502-3. NPJ Precis Oncol. 2024. PMID: 38310164 Free PMC article.

3

The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies.

Ismail NA, Posma JM, Frost G, Holmes E, Garcia-Perez I. Ismail NA, et al. Among authors: posma jm. Electrophoresis. 2013 Oct;34(19):2776-86. doi: 10.1002/elps.201300066. Epub 2013 Sep 10. Electrophoresis. 2013. PMID: 23893902 Review.

4

MetaboNetworks, an interactive Matlab-based toolbox for creating, customizing and exploring sub-networks from KEGG.

Posma JM, Robinette SL, Holmes E, Nicholson JK. Posma JM, et al. Bioinformatics. 2014 Mar 15;30(6):893-5. doi: 10.1093/bioinformatics/btt612. Epub 2013 Oct 30. Bioinformatics. 2014. PMID: 24177720 Free PMC article.

5

An Analytical Pipeline for Quantitative Characterization of Dietary Intake: Application To Assess Grape Intake.

Garcia-Perez I, Posma JM, Chambers ES, Nicholson JK, C Mathers J, Beckmann M, Draper J, Holmes E, Frost G. Garcia-Perez I, et al. Among authors: posma jm. J Agric Food Chem. 2016 Mar 23;64(11):2423-31. doi: 10.1021/acs.jafc.5b05878. Epub 2016 Mar 8. J Agric Food Chem. 2016. PMID: 26909845 Free article. Clinical Trial.

6

Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trial.

Garcia-Perez I, Posma JM, Gibson R, Chambers ES, Hansen TH, Vestergaard H, Hansen T, Beckmann M, Pedersen O, Elliott P, Stamler J, Nicholson JK, Draper J, Mathers JC, Holmes E, Frost G. Garcia-Perez I, et al. Among authors: posma jm. Lancet Diabetes Endocrinol. 2017 Mar;5(3):184-195. doi: 10.1016/S2213-8587(16)30419-3. Epub 2017 Jan 13. Lancet Diabetes Endocrinol. 2017. PMID: 28089709 Free PMC article. Clinical Trial.

7

Integrated Analytical and Statistical Two-Dimensional Spectroscopy Strategy for Metabolite Identification: Application to Dietary Biomarkers.

Posma JM, Garcia-Perez I, Heaton JC, Burdisso P, Mathers JC, Draper J, Lewis M, Lindon JC, Frost G, Holmes E, Nicholson JK. Posma JM, et al. Anal Chem. 2017 Mar 21;89(6):3300-3309. doi: 10.1021/acs.analchem.6b03324. Epub 2017 Mar 10. Anal Chem. 2017. PMID: 28240543 Free PMC article.

8

Spot and Cumulative Urine Samples Are Suitable Replacements for 24-Hour Urine Collections for Objective Measures of Dietary Exposure in Adults Using Metabolite Biomarkers.

Wilson T, Garcia-Perez I, Posma JM, Lloyd AJ, Chambers ES, Tailliart K, Zubair H, Beckmann M, Mathers JC, Holmes E, Frost G, Draper J. Wilson T, et al. Among authors: posma jm. J Nutr. 2019 Oct 1;149(10):1692-1700. doi: 10.1093/jn/nxz138. J Nutr. 2019. PMID: 31240300 Free article.

9

Identifying unknown metabolites using NMR-based metabolic profiling techniques.

Garcia-Perez I, Posma JM, Serrano-Contreras JI, Boulangé CL, Chan Q, Frost G, Stamler J, Elliott P, Lindon JC, Holmes E, Nicholson JK. Garcia-Perez I, et al. Among authors: posma jm. Nat Protoc. 2020 Aug;15(8):2538-2567. doi: 10.1038/s41596-020-0343-3. Epub 2020 Jul 17. Nat Protoc. 2020. PMID: 32681152

10

Nutriome-metabolome relationships provide insights into dietary intake and metabolism.

Posma JM, Garcia-Perez I, Frost G, Aljuraiban GS, Chan Q, Van Horn L, Daviglus M, Stamler J, Holmes E, Elliott P, Nicholson JK. Posma JM, et al. Nat Food. 2020 Jul;1(7):426-436. doi: 10.1038/s43016-020-0093-y. Epub 2020 Jun 22. Nat Food. 2020. PMID: 32954362 Free PMC article.

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