Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.

Autores
Sookoian, Silvia Cristina; Pirola, Carlos José
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
For several decades, serum levels of alanine (ALT) and aspartate (AST) aminotransferases have been regarded as markers of liver injury, including a wide range of etiologies from viral hepatitis to fatty liver. The increasing worldwide prevalence of metabolic syndrome and cardiovascular disease revealed that transaminases are strong predictors of type 2 diabetes, coronary heart disease, atherothrombotic risk profile, and overall risk of metabolic disease. Therefore, it is plausible to suggest that aminotransferases are surrogate biomarkers of “liver metabolic functioning” beyond the classical concept of liver cellular damage, as their enzymatic activity might actually reflect key aspects of the physiology and pathophysiology of the liver function. In this study, we summarize the background information and recent findings on the biological role of ALT and AST, and review the knowledge gained from the application of genome-wide approaches and “omics” technologies that uncovered new concepts on the role of aminotransferases in human diseases and systemic regulation of metabolic functions. Prediction of biomolecular interactions between the candidate genes recently discovered to be associated with plasma concentrations of liver enzymes showed interesting interconnectivity nodes, which suggest that regulation of aminotransferase activity is a complex and highly regulated trait. Finally, links between aminotransferase genes and metabolites are explored to understand the genetic contributions to the metabolic diversity.
Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Fil: Pirola, Carlos José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Materia
LIVER AMINOTRANSAMINASES
ALT
AST
GWAS
METABOLOMICS
GENETICS
SYSTEMS BIOLOGY
TRANSAMINASES
NONALCOHOLIC FATTY LIVER
NONALCOHOLIC STEATOHEPATITIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/21416
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.Sookoian, Silvia CristinaPirola, Carlos JoséLIVER AMINOTRANSAMINASESALTASTGWASMETABOLOMICSGENETICSSYSTEMS BIOLOGYTRANSAMINASESNONALCOHOLIC FATTY LIVERNONALCOHOLIC STEATOHEPATITIShttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3For several decades, serum levels of alanine (ALT) and aspartate (AST) aminotransferases have been regarded as markers of liver injury, including a wide range of etiologies from viral hepatitis to fatty liver. The increasing worldwide prevalence of metabolic syndrome and cardiovascular disease revealed that transaminases are strong predictors of type 2 diabetes, coronary heart disease, atherothrombotic risk profile, and overall risk of metabolic disease. Therefore, it is plausible to suggest that aminotransferases are surrogate biomarkers of “liver metabolic functioning” beyond the classical concept of liver cellular damage, as their enzymatic activity might actually reflect key aspects of the physiology and pathophysiology of the liver function. In this study, we summarize the background information and recent findings on the biological role of ALT and AST, and review the knowledge gained from the application of genome-wide approaches and “omics” technologies that uncovered new concepts on the role of aminotransferases in human diseases and systemic regulation of metabolic functions. Prediction of biomolecular interactions between the candidate genes recently discovered to be associated with plasma concentrations of liver enzymes showed interesting interconnectivity nodes, which suggest that regulation of aminotransferase activity is a complex and highly regulated trait. Finally, links between aminotransferase genes and metabolites are explored to understand the genetic contributions to the metabolic diversity.Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaFil: Pirola, Carlos José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; ArgentinaBaishideng Publishing Group2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/21416Sookoian, Silvia Cristina; Pirola, Carlos José; Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.; Baishideng Publishing Group; World Journal of Gastroenterology; 21; 3; 1-2015; 711-7251007-93272219-2840CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.wjgnet.com/1007-9327/full/v21/i3/711.htminfo:eu-repo/semantics/altIdentifier/doi/10.3748/wjg.v21.i3.711info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:39Zoai:ri.conicet.gov.ar:11336/21416instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:01:40.228CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
title Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
spellingShingle Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
Sookoian, Silvia Cristina
LIVER AMINOTRANSAMINASES
ALT
AST
GWAS
METABOLOMICS
GENETICS
SYSTEMS BIOLOGY
TRANSAMINASES
NONALCOHOLIC FATTY LIVER
NONALCOHOLIC STEATOHEPATITIS
title_short Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
title_full Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
title_fullStr Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
title_full_unstemmed Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
title_sort Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.
dc.creator.none.fl_str_mv Sookoian, Silvia Cristina
Pirola, Carlos José
author Sookoian, Silvia Cristina
author_facet Sookoian, Silvia Cristina
Pirola, Carlos José
author_role author
author2 Pirola, Carlos José
author2_role author
dc.subject.none.fl_str_mv LIVER AMINOTRANSAMINASES
ALT
AST
GWAS
METABOLOMICS
GENETICS
SYSTEMS BIOLOGY
TRANSAMINASES
NONALCOHOLIC FATTY LIVER
NONALCOHOLIC STEATOHEPATITIS
topic LIVER AMINOTRANSAMINASES
ALT
AST
GWAS
METABOLOMICS
GENETICS
SYSTEMS BIOLOGY
TRANSAMINASES
NONALCOHOLIC FATTY LIVER
NONALCOHOLIC STEATOHEPATITIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv For several decades, serum levels of alanine (ALT) and aspartate (AST) aminotransferases have been regarded as markers of liver injury, including a wide range of etiologies from viral hepatitis to fatty liver. The increasing worldwide prevalence of metabolic syndrome and cardiovascular disease revealed that transaminases are strong predictors of type 2 diabetes, coronary heart disease, atherothrombotic risk profile, and overall risk of metabolic disease. Therefore, it is plausible to suggest that aminotransferases are surrogate biomarkers of “liver metabolic functioning” beyond the classical concept of liver cellular damage, as their enzymatic activity might actually reflect key aspects of the physiology and pathophysiology of the liver function. In this study, we summarize the background information and recent findings on the biological role of ALT and AST, and review the knowledge gained from the application of genome-wide approaches and “omics” technologies that uncovered new concepts on the role of aminotransferases in human diseases and systemic regulation of metabolic functions. Prediction of biomolecular interactions between the candidate genes recently discovered to be associated with plasma concentrations of liver enzymes showed interesting interconnectivity nodes, which suggest that regulation of aminotransferase activity is a complex and highly regulated trait. Finally, links between aminotransferase genes and metabolites are explored to understand the genetic contributions to the metabolic diversity.
Fil: Sookoian, Silvia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
Fil: Pirola, Carlos José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Médicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina
description For several decades, serum levels of alanine (ALT) and aspartate (AST) aminotransferases have been regarded as markers of liver injury, including a wide range of etiologies from viral hepatitis to fatty liver. The increasing worldwide prevalence of metabolic syndrome and cardiovascular disease revealed that transaminases are strong predictors of type 2 diabetes, coronary heart disease, atherothrombotic risk profile, and overall risk of metabolic disease. Therefore, it is plausible to suggest that aminotransferases are surrogate biomarkers of “liver metabolic functioning” beyond the classical concept of liver cellular damage, as their enzymatic activity might actually reflect key aspects of the physiology and pathophysiology of the liver function. In this study, we summarize the background information and recent findings on the biological role of ALT and AST, and review the knowledge gained from the application of genome-wide approaches and “omics” technologies that uncovered new concepts on the role of aminotransferases in human diseases and systemic regulation of metabolic functions. Prediction of biomolecular interactions between the candidate genes recently discovered to be associated with plasma concentrations of liver enzymes showed interesting interconnectivity nodes, which suggest that regulation of aminotransferase activity is a complex and highly regulated trait. Finally, links between aminotransferase genes and metabolites are explored to understand the genetic contributions to the metabolic diversity.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/21416
Sookoian, Silvia Cristina; Pirola, Carlos José; Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.; Baishideng Publishing Group; World Journal of Gastroenterology; 21; 3; 1-2015; 711-725
1007-9327
2219-2840
CONICET Digital
CONICET
url http://hdl.handle.net/11336/21416
identifier_str_mv Sookoian, Silvia Cristina; Pirola, Carlos José; Liver enzymes, metabolomics and genome-wide association studies: From systems biology to the personalized medicine.; Baishideng Publishing Group; World Journal of Gastroenterology; 21; 3; 1-2015; 711-725
1007-9327
2219-2840
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.wjgnet.com/1007-9327/full/v21/i3/711.htm
info:eu-repo/semantics/altIdentifier/doi/10.3748/wjg.v21.i3.711
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Baishideng Publishing Group
publisher.none.fl_str_mv Baishideng Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269710313324544
score 13.13397

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