Deep multi-OMICs and multi-tissue characterization in a pre-and postprandial state in human volunteers: The GEMM family study research design

Raul A. Bastarrachea; Hugo A. Laviada-Molina; Edna J. Nava-Gonzalez; Irene Leal-Berumen; Claudia Escudero-Lourdes; Fabiola Escalante-Araiza; Vanessa Giselle Peschard; Rosa A. Veloz-Garza; Karin Haack; Angélica Martínez-Hernández; Francisco M. Barajas-Olmos; Fernanda Molina-Segui; Fatima A. Buenfil-Rello; Lucia Gonzalez-Ramirez; Reinhard Janssen-Aguilar; Ricardo Lopez-Muñoz; Fernanda Perez-Cetina; Janeth F. Gaytan-Saucedo; Zoila Vaquera; Judith Cornejo-Barrera; Juan Carlos Castillo-Pineda; Areli Murillo-Ramirez; Sara P. Diaz-Tena; Benigno Figueroa-Nuñez; Laura González-López; Rocío A. Salinas-Osornio; Melesio E. Valencia-Rendón; José Ángeles-Chimal; Jesús Santa Olalla Tapia; José M. Remes-Troche; Salvador B. Valdovinos-Chavez; Eira E. Huerta-Avila; Xianlin Han; Lorena Orozco; Ernesto Rodriguez-Ayala; Susan Weintraub; Esther C. Gallegos-Cabrales; Shelley A. Cole; Jack W. Kent

doi:10.3390/genes9110532

Deep multi-OMICs and multi-tissue characterization in a pre-and postprandial state in human volunteers: The GEMM family study research design

Raul A. Bastarrachea, Hugo A. Laviada-Molina, Edna J. Nava-Gonzalez, Irene Leal-Berumen, Claudia Escudero-Lourdes, Fabiola Escalante-Araiza, Vanessa Giselle Peschard, Rosa A. Veloz-Garza, Karin Haack, Angélica Martínez-Hernández, Francisco M. Barajas-Olmos, Fernanda Molina-Segui, Fatima A. Buenfil-Rello, Lucia Gonzalez-Ramirez, Reinhard Janssen-Aguilar, Ricardo Lopez-Muñoz, Fernanda Perez-Cetina, Janeth F. Gaytan-Saucedo, Zoila Vaquera, Judith Cornejo-BarreraJuan Carlos Castillo-Pineda, Areli Murillo-Ramirez, Sara P. Diaz-Tena, Benigno Figueroa-Nuñez, Laura González-López, Rocío A. Salinas-Osornio, Melesio E. Valencia-Rendón, José Ángeles-Chimal, Jesús Santa Olalla Tapia, José M. Remes-Troche, Salvador B. Valdovinos-Chavez, Eira E. Huerta-Avila, Xianlin Han, Lorena Orozco, Ernesto Rodriguez-Ayala, Susan Weintraub, Esther C. Gallegos-Cabrales, Shelley A. Cole, Jack W. Kent

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Cardiovascular disease (CVD) and type 2 diabetes (T2D) are increasing worldwide. This is mainly due to an unhealthy nutrition, implying that variation in CVD risk may be due to variation in the capacity to manage a nutritional load. We examined the genomic basis of postprandial metabolism. Our main purpose was to introduce the GEMM Family Study (Genetics of Metabolic Diseases in Mexico) as a multi-center study carrying out an ongoing recruitment of healthy urban adults. Each participant received a mixed meal challenge and provided a 5-hours’ time course series of blood, buffy coat specimens for DNA isolation, and adipose tissue (ADT)/skeletal muscle (SKM) biopsies at fasting and 3 h after the meal. A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.

Original language	English (US)
Article number	532
Journal	Genes
Volume	9
Issue number	11
DOIs	https://doi.org/10.3390/genes9110532
State	Published - Nov 2 2018

Keywords

Gemm family study
Mixed meal challenge
Multi-OMICs
Postprandial metabolism

ASJC Scopus subject areas

Genetics
Genetics(clinical)

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10.3390/genes9110532

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Bastarrachea, R. A., Laviada-Molina, H. A., Nava-Gonzalez, E. J., Leal-Berumen, I., Escudero-Lourdes, C., Escalante-Araiza, F., Peschard, V. G., Veloz-Garza, R. A., Haack, K., Martínez-Hernández, A., Barajas-Olmos, F. M., Molina-Segui, F., Buenfil-Rello, F. A., Gonzalez-Ramirez, L., Janssen-Aguilar, R., Lopez-Muñoz, R., Perez-Cetina, F., Gaytan-Saucedo, J. F., Vaquera, Z., ... Kent, J. W. (2018). Deep multi-OMICs and multi-tissue characterization in a pre-and postprandial state in human volunteers: The GEMM family study research design. Genes, 9(11), Article 532. https://doi.org/10.3390/genes9110532

Bastarrachea, RA, Laviada-Molina, HA, Nava-Gonzalez, EJ, Leal-Berumen, I, Escudero-Lourdes, C, Escalante-Araiza, F, Peschard, VG, Veloz-Garza, RA, Haack, K, Martínez-Hernández, A, Barajas-Olmos, FM, Molina-Segui, F, Buenfil-Rello, FA, Gonzalez-Ramirez, L, Janssen-Aguilar, R, Lopez-Muñoz, R, Perez-Cetina, F, Gaytan-Saucedo, JF, Vaquera, Z, Cornejo-Barrera, J, Castillo-Pineda, JC, Murillo-Ramirez, A, Diaz-Tena, SP, Figueroa-Nuñez, B, González-López, L, Salinas-Osornio, RA, Valencia-Rendón, ME, Ángeles-Chimal, J, Tapia, JSO, Remes-Troche, JM, Valdovinos-Chavez, SB, Huerta-Avila, EE, Han, X, Orozco, L, Rodriguez-Ayala, E, Weintraub, S, Gallegos-Cabrales, EC, Cole, SA & Kent, JW 2018, 'Deep multi-OMICs and multi-tissue characterization in a pre-and postprandial state in human volunteers: The GEMM family study research design', Genes, vol. 9, no. 11, 532. https://doi.org/10.3390/genes9110532

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abstract = "Cardiovascular disease (CVD) and type 2 diabetes (T2D) are increasing worldwide. This is mainly due to an unhealthy nutrition, implying that variation in CVD risk may be due to variation in the capacity to manage a nutritional load. We examined the genomic basis of postprandial metabolism. Our main purpose was to introduce the GEMM Family Study (Genetics of Metabolic Diseases in Mexico) as a multi-center study carrying out an ongoing recruitment of healthy urban adults. Each participant received a mixed meal challenge and provided a 5-hours{\textquoteright} time course series of blood, buffy coat specimens for DNA isolation, and adipose tissue (ADT)/skeletal muscle (SKM) biopsies at fasting and 3 h after the meal. A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.",

keywords = "Gemm family study, Mixed meal challenge, Multi-OMICs, Postprandial metabolism",

author = "Bastarrachea, {Raul A.} and Laviada-Molina, {Hugo A.} and Nava-Gonzalez, {Edna J.} and Irene Leal-Berumen and Claudia Escudero-Lourdes and Fabiola Escalante-Araiza and Peschard, {Vanessa Giselle} and Veloz-Garza, {Rosa A.} and Karin Haack and Ang{\'e}lica Mart{\'i}nez-Hern{\'a}ndez and Barajas-Olmos, {Francisco M.} and Fernanda Molina-Segui and Buenfil-Rello, {Fatima A.} and Lucia Gonzalez-Ramirez and Reinhard Janssen-Aguilar and Ricardo Lopez-Mu{\~n}oz and Fernanda Perez-Cetina and Gaytan-Saucedo, {Janeth F.} and Zoila Vaquera and Judith Cornejo-Barrera and Castillo-Pineda, {Juan Carlos} and Areli Murillo-Ramirez and Diaz-Tena, {Sara P.} and Benigno Figueroa-Nu{\~n}ez and Laura Gonz{\'a}lez-L{\'o}pez and Salinas-Osornio, {Roc{\'i}o A.} and Valencia-Rend{\'o}n, {Melesio E.} and Jos{\'e} {\'A}ngeles-Chimal and Tapia, {Jes{\'u}s Santa Olalla} and Remes-Troche, {Jos{\'e} M.} and Valdovinos-Chavez, {Salvador B.} and Huerta-Avila, {Eira E.} and Xianlin Han and Lorena Orozco and Ernesto Rodriguez-Ayala and Susan Weintraub and Gallegos-Cabrales, {Esther C.} and Cole, {Shelley A.} and Kent, {Jack W.}",

note = "Publisher Copyright: {\textcopyright} 2018 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2018",

month = nov,

day = "2",

doi = "10.3390/genes9110532",

language = "English (US)",

volume = "9",

journal = "Genes",

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T1 - Deep multi-OMICs and multi-tissue characterization in a pre-and postprandial state in human volunteers

T2 - The GEMM family study research design

AU - Bastarrachea, Raul A.

AU - Laviada-Molina, Hugo A.

AU - Nava-Gonzalez, Edna J.

AU - Leal-Berumen, Irene

AU - Escudero-Lourdes, Claudia

AU - Escalante-Araiza, Fabiola

AU - Peschard, Vanessa Giselle

AU - Veloz-Garza, Rosa A.

AU - Haack, Karin

AU - Martínez-Hernández, Angélica

AU - Barajas-Olmos, Francisco M.

AU - Molina-Segui, Fernanda

AU - Buenfil-Rello, Fatima A.

AU - Gonzalez-Ramirez, Lucia

AU - Janssen-Aguilar, Reinhard

AU - Lopez-Muñoz, Ricardo

AU - Perez-Cetina, Fernanda

AU - Gaytan-Saucedo, Janeth F.

AU - Vaquera, Zoila

AU - Cornejo-Barrera, Judith

AU - Castillo-Pineda, Juan Carlos

AU - Murillo-Ramirez, Areli

AU - Diaz-Tena, Sara P.

AU - Figueroa-Nuñez, Benigno

AU - González-López, Laura

AU - Salinas-Osornio, Rocío A.

AU - Valencia-Rendón, Melesio E.

AU - Ángeles-Chimal, José

AU - Tapia, Jesús Santa Olalla

AU - Remes-Troche, José M.

AU - Valdovinos-Chavez, Salvador B.

AU - Huerta-Avila, Eira E.

AU - Han, Xianlin

AU - Orozco, Lorena

AU - Rodriguez-Ayala, Ernesto

AU - Weintraub, Susan

AU - Gallegos-Cabrales, Esther C.

AU - Cole, Shelley A.

AU - Kent, Jack W.

PY - 2018/11/2

Y1 - 2018/11/2

N2 - Cardiovascular disease (CVD) and type 2 diabetes (T2D) are increasing worldwide. This is mainly due to an unhealthy nutrition, implying that variation in CVD risk may be due to variation in the capacity to manage a nutritional load. We examined the genomic basis of postprandial metabolism. Our main purpose was to introduce the GEMM Family Study (Genetics of Metabolic Diseases in Mexico) as a multi-center study carrying out an ongoing recruitment of healthy urban adults. Each participant received a mixed meal challenge and provided a 5-hours’ time course series of blood, buffy coat specimens for DNA isolation, and adipose tissue (ADT)/skeletal muscle (SKM) biopsies at fasting and 3 h after the meal. A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.

AB - Cardiovascular disease (CVD) and type 2 diabetes (T2D) are increasing worldwide. This is mainly due to an unhealthy nutrition, implying that variation in CVD risk may be due to variation in the capacity to manage a nutritional load. We examined the genomic basis of postprandial metabolism. Our main purpose was to introduce the GEMM Family Study (Genetics of Metabolic Diseases in Mexico) as a multi-center study carrying out an ongoing recruitment of healthy urban adults. Each participant received a mixed meal challenge and provided a 5-hours’ time course series of blood, buffy coat specimens for DNA isolation, and adipose tissue (ADT)/skeletal muscle (SKM) biopsies at fasting and 3 h after the meal. A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.

KW - Gemm family study

KW - Mixed meal challenge

KW - Multi-OMICs

KW - Postprandial metabolism

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DO - 10.3390/genes9110532

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Deep multi-OMICs and multi-tissue characterization in a pre-and postprandial state in human volunteers: The GEMM family study research design

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Keywords

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