Evidence map›Paper›PMID 30400254›Full record

ArticleGenes2018

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 and 29 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06878781 (Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06878781 narecruitingnot on this mapstarted 2024, after this paper: background citation

Standardized Meals With Different Macronutrient Ratios on the Postprandial Metabolome and Metabolic Flexibility

TypeinterventionalSponsorInstituto Nacional de Medicina GenomicaRan2024 to 2026Enrolled300ConditionsFasting, Postprandial Hyperglycemia, Lipid Metabolism Disorders, Glucose Metabolism DisordersArmsHigh carbohydrate challenge, High lipid challenge, High proteinchallenge
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Characterizing human postprandial metabolic response using multiway data analysis.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors at 13 institutions in 2 countries.

Raul A BastarracheaDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. raul@txbiomed.org.
Hugo A Laviada-MolinaEscuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico. hlaviada@marista.edu.mx.
Edna J Nava-GonzalezFacultad de Salud Pública y Nutrición (FASPyN), UANL, Monterrey 64460, Mexico. edna.navag@uanl.mx.
Irene Leal-BerumenFacultad de Medicina y Ciencias Biomédicas, Universidad Autónoma de Chihuahua, Chihuahua 31125, Mexico. ileal@uach.mx.ORCID 0000-0003-4640-7466
Claudia Escudero-LourdesFacultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78240, Mexico. cescuder@uaslp.mx.ORCID 0000-0002-4597-1420
Fabiola Escalante-AraizaCentro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico. fescara@gmail.com.
Vanessa-Giselle PeschardCentro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico. vanessa-gisellep@wustl.edu.
Rosa A Veloz-GarzaFacultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico. rosyvelozgarza@hotmail.com.
Karin HaackDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. khaack@txbiomed.org.
Angélica Martínez-HernándezLaboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, Ciudad de México C.P. 14610, Mexico. amartinez@inmegen.gob.mx.
Francisco M Barajas-OlmosLaboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, Ciudad de México C.P. 14610, Mexico. fbarajas@inmegen.gob.mx.
Fernanda Molina-SeguiEscuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico. fmolina@marista.edu.mx.
Fatima A Buenfil-RelloEscuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico. ln.fatimabuenfil@hotmail.com.
Lucia Gonzalez-RamirezEscuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico. nut.lucia.gonzalez@hotmail.com.
Reinhard Janssen-AguilarEscuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico. rjanssen91@gmail.com.
Ricardo Lopez-MuñozEscuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico. Lopezm.ric@gmail.com.
Fernanda Perez-CetinaDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. cescuder@uaslp.mx.ORCID 0000-0002-4597-1420
Janeth F Gaytan-SaucedoDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. janethgaytan@gmail.com.
Zoila VaqueraDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. ZVaquera@txbiomed.org.
Judith Cornejo-BarreraDepartamento de Enseñanza, Postgrado e Investigación, Hospital Infantil de Tamaulipas, Ciudad Victoria 87150, Mexico. judith.cornejo@tam.gob.mx.
Juan Carlos Castillo-PinedaDepartamento de Nutrición Humana, Universidad Latina de América, Morelia, Michoacán 58170, Mexico. castillomorelia@hotmail.com.
Areli Murillo-RamirezDepartamento de Nutrición Humana, Universidad Latina de América, Morelia, Michoacán 58170, Mexico. amurillor@unla.edu.mx.
Sara P Diaz-TenaDepartamento de Nutrición Humana, Universidad Latina de América, Morelia, Michoacán 58170, Mexico. ln.sarapatriciadiaz@victoriamedicalcenter.com.
Benigno Figueroa-NuñezClínica de Enfermedades Crónicas y Procedimientos Especiales (CECYPE), Morelia 58249, Mexico. benigno.figueroa@cecype.com.
Laura González-LópezUniversidad del Valle de Atemajac (UNIVA), Zapopan, Jalisco 45050, Mexico. laura.gonzalez@univa.mx.
Rocío A Salinas-OsornioUniversidad del Valle de Atemajac (UNIVA), Zapopan, Jalisco 45050, Mexico. rocio.salinas@univa.mx.
Melesio E Valencia-RendónUniversidad del Valle de Atemajac (UNIVA), Zapopan, Jalisco 45050, Mexico. tantarrea@gmail.com.
José Ángeles-ChimalFacultad de Medicina, Universidad Autónoma Estado de Morelos, Cuernavaca 62209, Mexico. chimal@uaem.mx.ORCID 0000-0003-0475-2798
Jesús Santa-Olalla TapiaFacultad de Medicina, Universidad Autónoma Estado de Morelos, Cuernavaca 62209, Mexico. jsa@uaem.mx.ORCID 0000-0003-3436-4163
José M Remes-TrocheInstituto de Investigaciones Médico-Biológicas, Universidad Veracruzana, Veracruz 91700, Mexico. jose.remes.troche@gmail.com.ORCID 0000-0001-8478-9659
Salvador B Valdovinos-ChavezFacultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico. svmonterrey@gmail.com.
Eira E Huerta-AvilaDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. lneeha920609@gmail.com.
Xianlin HanDepartment of Medicine, Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX 78229, USA. HanX@uthscsa.edu.ORCID 0000-0002-8615-2413
Lorena OrozcoLaboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, Ciudad de México C.P. 14610, Mexico. lorozco@inmegen.gob.mx.
Ernesto Rodriguez-AyalaCentro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico. ernesto.rodriguez@anahuac.mx.
Susan WeintraubDepartment of Biochemistry, University of Texas Health Science Center, San Antonio, TX 78229, USA. weintraub@uthscsa.edu.
Esther C Gallegos-CabralesFacultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico. esther.gallegosc@gmail.com.
Shelley A ColeDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. scole@txbiomed.org.
Jack W KentDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA. jkent@txbiomed.org.
Texas Biomedical Research Institute · USUniversidad Marista de Mérida · MXUniversidad Autónoma de Nuevo León · MXNational Institute of Genomic Medicine · MXUniversidad Anáhuac · MXUniversidad Latina · MXUniversity of the Valley of Atemajac · MXThe University of Texas Health Science Center at San Antonio · USUniversidad Autónoma del Estado de Morelos · MXAutonomous University of Chihuahua · MXAutonomous University of San Luis Potosí · MXHospital de Especialidades · MXUniversidad Veracruzana · MX

Funding

Defining the Normal Range of Postprandial Metabolic Risk: Multi-omic and multi-tissue Analysis after a Mixed MealR56DK114703 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BASTARRACHEA, RAUL A, KENT, JOHN W · 2017 to 2018
$545k
National Institute of Diabetes and Digestive and Kidney Diseases 1R56DK114703-01NIDDK NIH HHS R56 DK114703
6 · The paper itself

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.

Indexed as

GEMM family studymixed meal challengemulti-OMICSpostprandial metabolism

Identifiers

PMID30400254
PMCPMC6266773
OpenAlexW2899217796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.