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Items: 10

1.

Gut microbiota composition explains more variance in the host cardiometabolic risk than genetic ancestry.

Guzmán-Castañeda SJ, Ortega-Vega EL, de la Cuesta-Zuluaga J, Velásquez-Mejía EP, Rojas W, Bedoya G, Escobar JS.

Gut Microbes. 2019 Jul 16:1-14. doi: 10.1080/19490976.2019.1634416. [Epub ahead of print]

PMID:
31311405
2.

Variants in genes of innate immunity, appetite control and energy metabolism are associated with host cardiometabolic health and gut microbiota composition.

Ortega-Vega EL, Guzmán-Castañeda SJ, Campo O, Velásquez-Mejía EP, de la Cuesta-Zuluaga J, Bedoya G, Escobar JS.

Gut Microbes. 2019 Jun 3:1-13. doi: 10.1080/19490976.2019.1619440. [Epub ahead of print]

PMID:
31154934
3.

Age- and Sex-Dependent Patterns of Gut Microbial Diversity in Human Adults.

de la Cuesta-Zuluaga J, Kelley ST, Chen Y, Escobar JS, Mueller NT, Ley RE, McDonald D, Huang S, Swafford AD, Knight R, Thackray VG.

mSystems. 2019 May 14;4(4). pii: e00261-19. doi: 10.1128/mSystems.00261-19. eCollection 2019 Jul-Aug.

4.

Higher Fecal Short-Chain Fatty Acid Levels Are Associated with Gut Microbiome Dysbiosis, Obesity, Hypertension and Cardiometabolic Disease Risk Factors.

de la Cuesta-Zuluaga J, Mueller NT, Álvarez-Quintero R, Velásquez-Mejía EP, Sierra JA, Corrales-Agudelo V, Carmona JA, Abad JM, Escobar JS.

Nutrients. 2018 Dec 27;11(1). pii: E51. doi: 10.3390/nu11010051.

5.

Gut microbiota is associated with obesity and cardiometabolic disease in a population in the midst of Westernization.

de la Cuesta-Zuluaga J, Corrales-Agudelo V, Velásquez-Mejía EP, Carmona JA, Abad JM, Escobar JS.

Sci Rep. 2018 Jul 27;8(1):11356. doi: 10.1038/s41598-018-29687-x.

6.

Body size phenotypes comprehensively assess cardiometabolic risk and refine the association between obesity and gut microbiota.

de la Cuesta-Zuluaga J, Corrales-Agudelo V, Carmona JA, Abad JM, Escobar JS.

Int J Obes (Lond). 2018 Mar;42(3):424-432. doi: 10.1038/ijo.2017.281. Epub 2017 Nov 16.

PMID:
29142244
7.

Impact of DNA extraction, sample dilution, and reagent contamination on 16S rRNA gene sequencing of human feces.

Velásquez-Mejía EP, de la Cuesta-Zuluaga J, Escobar JS.

Appl Microbiol Biotechnol. 2018 Jan;102(1):403-411. doi: 10.1007/s00253-017-8583-z. Epub 2017 Oct 27.

PMID:
29079861
8.

Metformin Is Associated With Higher Relative Abundance of Mucin-Degrading Akkermansia muciniphila and Several Short-Chain Fatty Acid-Producing Microbiota in the Gut.

de la Cuesta-Zuluaga J, Mueller NT, Corrales-Agudelo V, Velásquez-Mejía EP, Carmona JA, Abad JM, Escobar JS.

Diabetes Care. 2017 Jan;40(1):54-62. doi: 10.2337/dc16-1324. Epub 2016 Nov 14.

PMID:
27999002
9.

Considerations For Optimizing Microbiome Analysis Using a Marker Gene.

de la Cuesta-Zuluaga J, Escobar JS.

Front Nutr. 2016 Aug 8;3:26. doi: 10.3389/fnut.2016.00026. eCollection 2016. Review.

10.

Identification of the virB operon genes encoding the type IV secretion system, in Colombian Brucella canis isolates.

de la Cuesta-Zuluaga JJ, Sánchez-Jiménez MM, Martínez-Garro J, Olivera-Angel M.

Vet Microbiol. 2013 Apr 12;163(1-2):196-9. doi: 10.1016/j.vetmic.2012.12.008. Epub 2012 Dec 20.

PMID:
23290573

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