Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

158 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
Microbiome and metabolome features of the cardiometabolic disease spectrum.
Fromentin S, Forslund SK, Chechi K, Aron-Wisnewsky J, Chakaroun R, Nielsen T, Tremaroli V, Ji B, Prifti E, Myridakis A, Chilloux J, Andrikopoulos P, Fan Y, Olanipekun MT, Alves R, Adiouch S, Bar N, Talmor-Barkan Y, Belda E, Caesar R, Coelho LP, Falony G, Fellahi S, Galan P, Galleron N, Helft G, Hoyles L, Isnard R, Le Chatelier E, Julienne H, Olsson L, Pedersen HK, Pons N, Quinquis B, Rouault C, Roume H, Salem JE, Schmidt TSB, Vieira-Silva S, Li P, Zimmermann-Kogadeeva M, Lewinter C, Søndertoft NB, Hansen TH, Gauguier D, Gøtze JP, Køber L, Kornowski R, Vestergaard H, Hansen T, Zucker JD, Hercberg S, Letunic I, Bäckhed F, Oppert JM, Nielsen J, Raes J, Bork P, Stumvoll M, Segal E, Clément K, Dumas ME, Ehrlich SD, Pedersen O. Fromentin S, et al. Among authors: gauguier d. Nat Med. 2022 Feb;28(2):303-314. doi: 10.1038/s41591-022-01688-4. Epub 2022 Feb 17. Nat Med. 2022. PMID: 35177860 Free PMC article.
New genetic loci link adipose and insulin biology to body fat distribution.
Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Mägi R, Strawbridge RJ, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JMW, Buchkovich ML, Heard-Costa NL, Roman TS, Drong AW, Song C, Gustafsson S, Day FR, Esko T, Fall T, Kutalik Z, Luan J, Randall JC, Scherag A, Vedantam S, Wood AR, Chen J, Fehrmann R, Karjalainen J, Kahali B, Liu CT, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bragg-Gresham JL, Buyske S, Demirkan A, Ehret GB, Feitosa MF, Goel A, Jackson AU, Johnson T, Kleber ME, Kristiansson K, Mangino M, Leach IM, Medina-Gomez C, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Stančáková A, Sung YJ, Tanaka T, Teumer A, Van Vliet-Ostaptchouk JV, Yengo L, Zhang W, Albrecht E, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Böhringer S, Bonnet F, Böttcher Y, Bruinenberg M, Carba DB, Caspersen IH, Clarke R, Daw EW, Deelen J, Deelman E, Delgado G, Doney AS, Eklund N, Erdos MR, Estrada K, Eury E, Friedrich N, Garcia ME, Giedraitis V, Gigante B, Go AS, Golay A, Grallert H, Grammer TB, Gräßler J, Grewal J, Groves CJ, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heikkilä K, Herzig KH, Helmer Q, Hi… See abstract for full author list ➔ Shungin D, et al. Nature. 2015 Feb 12;518(7538):187-196. doi: 10.1038/nature14132. Nature. 2015. PMID: 25673412 Free PMC article.
Genetic studies of body mass index yield new insights for obesity biology.
Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T, Fall T, Ferreira T, Gustafsson S, Kutalik Z, Luan J, Mägi R, Randall JC, Winkler TW, Wood AR, Workalemahu T, Faul JD, Smith JA, Zhao JH, Zhao W, Chen J, Fehrmann R, Hedman ÅK, Karjalainen J, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bolton JL, Bragg-Gresham JL, Buyske S, Demirkan A, Deng G, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Goel A, Gong J, Jackson AU, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Leach IM, Medina-Gomez C, Medland SE, Nalls MA, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Shungin D, Stančáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet-Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Isaacs A, Albrecht E, Ärnlöv J, Arscott GM, Attwood AP, Bandinelli S, Barrett A, Bas IN, Bellis C, Bennett AJ, Berne C, Blagieva R, Blüher M, Böhringer S, Bonnycastle LL, Böttcher Y, Boyd HA, Bruinenberg M, Caspersen IH, Chen YI, Clarke R, Daw EW, de Craen AJM, Delgado G, Dimitriou M, Doney ASF, Eklund N, Estrada K, Eury E, Folkersen L, Fraser RM, Garci… See abstract for full author list ➔ Locke AE, et al. Nature. 2015 Feb 12;518(7538):197-206. doi: 10.1038/nature14177. Nature. 2015. PMID: 25673413 Free PMC article.
A multiplexed targeted assay for high-throughput quantitative analysis of serum methylamines by ultra performance liquid chromatography coupled to high resolution mass spectrometry.
Kadar H, Dubus J, Dutot J, Hedjazi L, Srinivasa S, Fitch KV, Grinspoon SK, Nicholson JK, Dumas ME, Gauguier D. Kadar H, et al. Among authors: gauguier d. Arch Biochem Biophys. 2016 May 1;597:12-20. doi: 10.1016/j.abb.2016.03.029. Epub 2016 Mar 30. Arch Biochem Biophys. 2016. PMID: 27036856 Free article.
Topological analysis of metabolic networks integrating co-segregating transcriptomes and metabolomes in type 2 diabetic rat congenic series.
Dumas ME, Domange C, Calderari S, Martínez AR, Ayala R, Wilder SP, Suárez-Zamorano N, Collins SC, Wallis RH, Gu Q, Wang Y, Hue C, Otto GW, Argoud K, Navratil V, Mitchell SC, Lindon JC, Holmes E, Cazier JB, Nicholson JK, Gauguier D. Dumas ME, et al. Among authors: gauguier d. Genome Med. 2016 Sep 30;8(1):101. doi: 10.1186/s13073-016-0352-6. Genome Med. 2016. PMID: 27716393 Free PMC article.
Microbial-Host Co-metabolites Are Prodromal Markers Predicting Phenotypic Heterogeneity in Behavior, Obesity, and Impaired Glucose Tolerance.
Dumas ME, Rothwell AR, Hoyles L, Aranias T, Chilloux J, Calderari S, Noll EM, Péan N, Boulangé CL, Blancher C, Barton RH, Gu Q, Fearnside JF, Deshayes C, Hue C, Scott J, Nicholson JK, Gauguier D. Dumas ME, et al. Among authors: gauguier d. Cell Rep. 2017 Jul 5;20(1):136-148. doi: 10.1016/j.celrep.2017.06.039. Cell Rep. 2017. PMID: 28683308 Free PMC article.
MWASTools: an R/bioconductor package for metabolome-wide association studies.
Rodriguez-Martinez A, Posma JM, Ayala R, Neves AL, Anwar M, Petretto E, Emanueli C, Gauguier D, Nicholson JK, Dumas ME. Rodriguez-Martinez A, et al. Among authors: gauguier d. Bioinformatics. 2018 Mar 1;34(5):890-892. doi: 10.1093/bioinformatics/btx477. Bioinformatics. 2018. PMID: 28961702 Free PMC article.
158 results