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The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population

Aims. There are two phases of insulin secretion, the first (FPIS) and second phase (SPIS). In this study, we built equations to predict FPIS with metabolic syndrome (MetS) components and fasting plasma insulin (FPI). Methods. Totally, 186 participants were enrolled. 75% of participants were randomly...

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Autores principales: Lin, Jiunn-diann, Hsu, Chun-Hsien, Liang, Yao-Jen, Lian, Wei-Cheng, Hsieh, Chang-Hsun, Wu, Chung-Ze, Pei, Dee, Chen, Yen-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359803/
https://www.ncbi.nlm.nih.gov/pubmed/25815010
http://dx.doi.org/10.1155/2015/675245
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author Lin, Jiunn-diann
Hsu, Chun-Hsien
Liang, Yao-Jen
Lian, Wei-Cheng
Hsieh, Chang-Hsun
Wu, Chung-Ze
Pei, Dee
Chen, Yen-Lin
author_facet Lin, Jiunn-diann
Hsu, Chun-Hsien
Liang, Yao-Jen
Lian, Wei-Cheng
Hsieh, Chang-Hsun
Wu, Chung-Ze
Pei, Dee
Chen, Yen-Lin
author_sort Lin, Jiunn-diann
collection PubMed
description Aims. There are two phases of insulin secretion, the first (FPIS) and second phase (SPIS). In this study, we built equations to predict FPIS with metabolic syndrome (MetS) components and fasting plasma insulin (FPI). Methods. Totally, 186 participants were enrolled. 75% of participants were randomly selected as the study group to build equations. The remaining 25% of participants were selected as the external validation group. All participants received a frequently sampled intravenous glucose tolerance test, and acute insulin response after the glucose load (AIRg) was obtained. The AIRg was considered as FPIS. Results. When MetS components were only used, the following equation was built: log (FPIS) = 1.477 − 0.119 × fasting plasma glucose (FPG) + 0.079 × body mass index (BMI) − 0.523 × high-density lipoprotein cholesterol (HDL-C). After FPI was added, the second equation was formulated: log (FPIS) = 1.532 − 0.127 × FPG + 0.059 × BMI - 0.511 × HDL-C + 0.375 × log (FPI), which provided a better accuracy than the first one. Conclusions. Using MetS components, the FPIS could be estimated accurately. After adding FPI into the equation, the predictive power increased further. We hope that these equations could be widely used in daily practice.
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spelling pubmed-43598032015-03-26 The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population Lin, Jiunn-diann Hsu, Chun-Hsien Liang, Yao-Jen Lian, Wei-Cheng Hsieh, Chang-Hsun Wu, Chung-Ze Pei, Dee Chen, Yen-Lin Int J Endocrinol Research Article Aims. There are two phases of insulin secretion, the first (FPIS) and second phase (SPIS). In this study, we built equations to predict FPIS with metabolic syndrome (MetS) components and fasting plasma insulin (FPI). Methods. Totally, 186 participants were enrolled. 75% of participants were randomly selected as the study group to build equations. The remaining 25% of participants were selected as the external validation group. All participants received a frequently sampled intravenous glucose tolerance test, and acute insulin response after the glucose load (AIRg) was obtained. The AIRg was considered as FPIS. Results. When MetS components were only used, the following equation was built: log (FPIS) = 1.477 − 0.119 × fasting plasma glucose (FPG) + 0.079 × body mass index (BMI) − 0.523 × high-density lipoprotein cholesterol (HDL-C). After FPI was added, the second equation was formulated: log (FPIS) = 1.532 − 0.127 × FPG + 0.059 × BMI - 0.511 × HDL-C + 0.375 × log (FPI), which provided a better accuracy than the first one. Conclusions. Using MetS components, the FPIS could be estimated accurately. After adding FPI into the equation, the predictive power increased further. We hope that these equations could be widely used in daily practice. Hindawi Publishing Corporation 2015 2015-03-01 /pmc/articles/PMC4359803/ /pubmed/25815010 http://dx.doi.org/10.1155/2015/675245 Text en Copyright © 2015 Jiunn-diann Lin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lin, Jiunn-diann
Hsu, Chun-Hsien
Liang, Yao-Jen
Lian, Wei-Cheng
Hsieh, Chang-Hsun
Wu, Chung-Ze
Pei, Dee
Chen, Yen-Lin
The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population
title The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population
title_full The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population
title_fullStr The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population
title_full_unstemmed The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population
title_short The Estimation of First-Phase Insulin Secretion by Using Components of the Metabolic Syndrome in a Chinese Population
title_sort estimation of first-phase insulin secretion by using components of the metabolic syndrome in a chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359803/
https://www.ncbi.nlm.nih.gov/pubmed/25815010
http://dx.doi.org/10.1155/2015/675245
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