HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes

Autores
Coniglio, R. I.; Meroño, Tomás; Montiel, H.; Malaspina, M. M.; Salgueiro, A. M.; Otero, J. C.; Ferraris, R.; Schreier, Laura Ester; Brites, Fernando Daniel; Gomez Rosso, Leonardo Adrián
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background and aims: Metabolic syndrome (MS) and type 2 diabetes are highly associated with an abnormal lipoprotein profile, which may be generated and accentuated by high cholesteryl ester transfer protein (CETP) activity. Given the difficulty in measuring CETP activity, the aim was to identify simple biochemical predictors of high CETP activity. Design and methods: Eighty five subjects at risk for type 2 diabetes were classified according to the presence of MS. Lipoprotein profile, HOMA-IR and endogenous CETP activity were evaluated. Results: As expected, MS patients presented higher concentration of glucose, insulin, triglycerides and non-HDL-C and lower HDL-C levels. Moreover, MS patients exhibited increased HOMA-IR and CETP activity. Employing a ROC curve for MS, high CETP activity was defined as >250%ml−1 h−1 . The predictive variables of high CETP were non-HDL-C≥160 mg/dl (OR= 11.1;95%IC= 3.3–38.2;pb0.001) and HOMA-IR> 2.1 (OR= 4.4;95%IC= 1.3–14.8;pb0.05). Conclusions: High non-HDL-C and insulin resistance were predictors for increased CETP activity which measurement is not accessible for clinical laboratories.
Fil: Coniglio, R. I.. No especifíca;
Fil: Meroño, Tomás. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Montiel, H.. No especifíca;
Fil: Malaspina, M. M.. No especifíca;
Fil: Salgueiro, A. M.. No especifíca;
Fil: Otero, J. C.. No especifíca;
Fil: Ferraris, R.. No especifíca;
Fil: Schreier, Laura Ester. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina
Fil: Brites, Fernando Daniel. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gomez Rosso, Leonardo Adrián. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Metabolic syndrome
Insulin Resistance
Cholesteryl ester transfer protein
Atherosclerosis
Type 2 Diabetes
Lipoproteins
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/272107
Acceder
id CONICETDig_f3b2924112ac816036e31d0d8be8563b
oai_identifier_str oai:ri.conicet.gov.ar:11336/272107
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetesConiglio, R. I.Meroño, TomásMontiel, H.Malaspina, M. M.Salgueiro, A. M.Otero, J. C.Ferraris, R.Schreier, Laura EsterBrites, Fernando DanielGomez Rosso, Leonardo AdriánMetabolic syndromeInsulin ResistanceCholesteryl ester transfer proteinAtherosclerosisType 2 DiabetesLipoproteinshttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background and aims: Metabolic syndrome (MS) and type 2 diabetes are highly associated with an abnormal lipoprotein profile, which may be generated and accentuated by high cholesteryl ester transfer protein (CETP) activity. Given the difficulty in measuring CETP activity, the aim was to identify simple biochemical predictors of high CETP activity. Design and methods: Eighty five subjects at risk for type 2 diabetes were classified according to the presence of MS. Lipoprotein profile, HOMA-IR and endogenous CETP activity were evaluated. Results: As expected, MS patients presented higher concentration of glucose, insulin, triglycerides and non-HDL-C and lower HDL-C levels. Moreover, MS patients exhibited increased HOMA-IR and CETP activity. Employing a ROC curve for MS, high CETP activity was defined as >250%ml−1 h−1 . The predictive variables of high CETP were non-HDL-C≥160 mg/dl (OR= 11.1;95%IC= 3.3–38.2;pb0.001) and HOMA-IR> 2.1 (OR= 4.4;95%IC= 1.3–14.8;pb0.05). Conclusions: High non-HDL-C and insulin resistance were predictors for increased CETP activity which measurement is not accessible for clinical laboratories.Fil: Coniglio, R. I.. No especifíca;Fil: Meroño, Tomás. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Montiel, H.. No especifíca;Fil: Malaspina, M. M.. No especifíca;Fil: Salgueiro, A. M.. No especifíca;Fil: Otero, J. C.. No especifíca;Fil: Ferraris, R.. No especifíca;Fil: Schreier, Laura Ester. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; ArgentinaFil: Brites, Fernando Daniel. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gomez Rosso, Leonardo Adrián. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaPergamon-Elsevier Science Ltd2012-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/272107Coniglio, R. I.; Meroño, Tomás; Montiel, H.; Malaspina, M. M.; Salgueiro, A. M.; et al.; HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes; Pergamon-Elsevier Science Ltd; Clinical Biochemistry; 45; 7-8; 5-2012; 566-5770009-9120CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.clinbiochem.2012.02.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:01:51Zoai:ri.conicet.gov.ar:11336/272107instacron: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:34982025-10-15 15:01:51.302CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
title HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
spellingShingle HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
Coniglio, R. I.
Metabolic syndrome
Insulin Resistance
Cholesteryl ester transfer protein
Atherosclerosis
Type 2 Diabetes
Lipoproteins
title_short HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
title_full HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
title_fullStr HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
title_full_unstemmed HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
title_sort HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes
dc.creator.none.fl_str_mv Coniglio, R. I.
Meroño, Tomás
Montiel, H.
Malaspina, M. M.
Salgueiro, A. M.
Otero, J. C.
Ferraris, R.
Schreier, Laura Ester
Brites, Fernando Daniel
Gomez Rosso, Leonardo Adrián
author Coniglio, R. I.
author_facet Coniglio, R. I.
Meroño, Tomás
Montiel, H.
Malaspina, M. M.
Salgueiro, A. M.
Otero, J. C.
Ferraris, R.
Schreier, Laura Ester
Brites, Fernando Daniel
Gomez Rosso, Leonardo Adrián
author_role author
author2 Meroño, Tomás
Montiel, H.
Malaspina, M. M.
Salgueiro, A. M.
Otero, J. C.
Ferraris, R.
Schreier, Laura Ester
Brites, Fernando Daniel
Gomez Rosso, Leonardo Adrián
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Metabolic syndrome
Insulin Resistance
Cholesteryl ester transfer protein
Atherosclerosis
Type 2 Diabetes
Lipoproteins
topic Metabolic syndrome
Insulin Resistance
Cholesteryl ester transfer protein
Atherosclerosis
Type 2 Diabetes
Lipoproteins
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background and aims: Metabolic syndrome (MS) and type 2 diabetes are highly associated with an abnormal lipoprotein profile, which may be generated and accentuated by high cholesteryl ester transfer protein (CETP) activity. Given the difficulty in measuring CETP activity, the aim was to identify simple biochemical predictors of high CETP activity. Design and methods: Eighty five subjects at risk for type 2 diabetes were classified according to the presence of MS. Lipoprotein profile, HOMA-IR and endogenous CETP activity were evaluated. Results: As expected, MS patients presented higher concentration of glucose, insulin, triglycerides and non-HDL-C and lower HDL-C levels. Moreover, MS patients exhibited increased HOMA-IR and CETP activity. Employing a ROC curve for MS, high CETP activity was defined as >250%ml−1 h−1 . The predictive variables of high CETP were non-HDL-C≥160 mg/dl (OR= 11.1;95%IC= 3.3–38.2;pb0.001) and HOMA-IR> 2.1 (OR= 4.4;95%IC= 1.3–14.8;pb0.05). Conclusions: High non-HDL-C and insulin resistance were predictors for increased CETP activity which measurement is not accessible for clinical laboratories.
Fil: Coniglio, R. I.. No especifíca;
Fil: Meroño, Tomás. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Montiel, H.. No especifíca;
Fil: Malaspina, M. M.. No especifíca;
Fil: Salgueiro, A. M.. No especifíca;
Fil: Otero, J. C.. No especifíca;
Fil: Ferraris, R.. No especifíca;
Fil: Schreier, Laura Ester. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina
Fil: Brites, Fernando Daniel. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gomez Rosso, Leonardo Adrián. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Fisiopatología y Bioquímica Clínica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Background and aims: Metabolic syndrome (MS) and type 2 diabetes are highly associated with an abnormal lipoprotein profile, which may be generated and accentuated by high cholesteryl ester transfer protein (CETP) activity. Given the difficulty in measuring CETP activity, the aim was to identify simple biochemical predictors of high CETP activity. Design and methods: Eighty five subjects at risk for type 2 diabetes were classified according to the presence of MS. Lipoprotein profile, HOMA-IR and endogenous CETP activity were evaluated. Results: As expected, MS patients presented higher concentration of glucose, insulin, triglycerides and non-HDL-C and lower HDL-C levels. Moreover, MS patients exhibited increased HOMA-IR and CETP activity. Employing a ROC curve for MS, high CETP activity was defined as >250%ml−1 h−1 . The predictive variables of high CETP were non-HDL-C≥160 mg/dl (OR= 11.1;95%IC= 3.3–38.2;pb0.001) and HOMA-IR> 2.1 (OR= 4.4;95%IC= 1.3–14.8;pb0.05). Conclusions: High non-HDL-C and insulin resistance were predictors for increased CETP activity which measurement is not accessible for clinical laboratories.
publishDate 2012
dc.date.none.fl_str_mv 2012-05
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/11336/272107
Coniglio, R. I.; Meroño, Tomás; Montiel, H.; Malaspina, M. M.; Salgueiro, A. M.; et al.; HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes; Pergamon-Elsevier Science Ltd; Clinical Biochemistry; 45; 7-8; 5-2012; 566-577
0009-9120
CONICET Digital
CONICET
url http://hdl.handle.net/11336/272107
identifier_str_mv Coniglio, R. I.; Meroño, Tomás; Montiel, H.; Malaspina, M. M.; Salgueiro, A. M.; et al.; HOMA-IR and non-HDL-C as predictors of high CETP activity in patients at high risk for type 2 diabetes; Pergamon-Elsevier Science Ltd; Clinical Biochemistry; 45; 7-8; 5-2012; 566-577
0009-9120
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.clinbiochem.2012.02.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
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
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score 13.22299

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