A modelling approach to hepatic glucose production estimation
Stable isotopes are currently used to measure glucose fluxes responsible for observed glucose concentrations, providing information on hepatic and peripheral insulin sensitivity. The determination of glucose turnover, along with fasting and postprandial glucose concentrations, is relevant for inferr...
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description | Stable isotopes are currently used to measure glucose fluxes responsible for observed glucose concentrations, providing information on hepatic and peripheral insulin sensitivity. The determination of glucose turnover, along with fasting and postprandial glucose concentrations, is relevant for inferring insulin sensitivity levels. At equilibrium (e.g. during the fasting state) the rate of glucose entering the circulation equals its rate of disappearance from the circulation. If under these conditions tracer is infused at a constant rate and Specific Activity (SA) or Tracer to Tracee (TTR) ratio is computed, the Rate of Appearance (RA) equals the Rate of Disappearance (RD) and equals the ratio between infusion rate and TTR or SA. In the post-prandial situation or during perturbation studies, however, estimation of RA and RD becomes more complex because they are not necessarily equal and, furthermore, may vary over time due to gastric emptying, glucose absorption, appearance of ingested or infused glucose, variations of EGP and glucose disappearance. Up to now, the most commonly used approach to compute RA, RD and EGP has been the single-pool model by Steele. Several authors, however, report pitfalls in the use of this method, such as "paradoxical" increase in EGP immediately after meal ingestion and "negative" rates of EGP. Different attempts have been made to reduce the impact of these errors, but the same problems are still encountered. In the present work a completely different approach is proposed, where cold and labeled [6, 6-2H2] glucose observations are simultaneously fitted and where both RD and EGP are represented by simple but reasonable functions. As an example, this approach is applied to an intra-venous experiment, where cold glucose is infused at variable rates to reproduce a desired glycaemic time-course. The goal of the present work is to show that appropriate, if simple, modelling of the whole infusion procedure together with the underlying physiological system allows robust estimation of EGP with single-tracer administration, without the artefacts produced by the Steele method. |
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The determination of glucose turnover, along with fasting and postprandial glucose concentrations, is relevant for inferring insulin sensitivity levels. At equilibrium (e.g. during the fasting state) the rate of glucose entering the circulation equals its rate of disappearance from the circulation. If under these conditions tracer is infused at a constant rate and Specific Activity (SA) or Tracer to Tracee (TTR) ratio is computed, the Rate of Appearance (RA) equals the Rate of Disappearance (RD) and equals the ratio between infusion rate and TTR or SA. In the post-prandial situation or during perturbation studies, however, estimation of RA and RD becomes more complex because they are not necessarily equal and, furthermore, may vary over time due to gastric emptying, glucose absorption, appearance of ingested or infused glucose, variations of EGP and glucose disappearance. Up to now, the most commonly used approach to compute RA, RD and EGP has been the single-pool model by Steele. Several authors, however, report pitfalls in the use of this method, such as "paradoxical" increase in EGP immediately after meal ingestion and "negative" rates of EGP. Different attempts have been made to reduce the impact of these errors, but the same problems are still encountered. In the present work a completely different approach is proposed, where cold and labeled [6, 6-2H2] glucose observations are simultaneously fitted and where both RD and EGP are represented by simple but reasonable functions. As an example, this approach is applied to an intra-venous experiment, where cold glucose is infused at variable rates to reproduce a desired glycaemic time-course. The goal of the present work is to show that appropriate, if simple, modelling of the whole infusion procedure together with the underlying physiological system allows robust estimation of EGP with single-tracer administration, without the artefacts produced by the Steele method.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0278837</identifier><identifier>PMID: 36542610</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Blood Glucose ; Care and treatment ; Complications and side effects ; Diabetes ; Engineering and Technology ; Experiments ; Fasting ; Gastric emptying ; Gastrointestinal surgery ; Glucagon ; Glucose ; Glucose metabolism ; Glucose Tolerance Test ; Health aspects ; Humans ; Hyperglycemia ; Indicators and Reagents ; Ingestion ; Insulin ; Insulin Resistance ; Isotopes ; Liver ; Medicine and Health Sciences ; Modelling ; Patient outcomes ; Perturbation ; Physical Sciences ; Physiology ; Plasma ; Research and Analysis Methods ; Sensitivity ; Stable isotopes ; Tracers ; Type 2 diabetes</subject><ispartof>PloS one, 2022-12, Vol.17 (12), p.e0278837</ispartof><rights>Copyright: © 2022 Panunzi, De Gaetano. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Panunzi, De Gaetano. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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The determination of glucose turnover, along with fasting and postprandial glucose concentrations, is relevant for inferring insulin sensitivity levels. At equilibrium (e.g. during the fasting state) the rate of glucose entering the circulation equals its rate of disappearance from the circulation. If under these conditions tracer is infused at a constant rate and Specific Activity (SA) or Tracer to Tracee (TTR) ratio is computed, the Rate of Appearance (RA) equals the Rate of Disappearance (RD) and equals the ratio between infusion rate and TTR or SA. In the post-prandial situation or during perturbation studies, however, estimation of RA and RD becomes more complex because they are not necessarily equal and, furthermore, may vary over time due to gastric emptying, glucose absorption, appearance of ingested or infused glucose, variations of EGP and glucose disappearance. Up to now, the most commonly used approach to compute RA, RD and EGP has been the single-pool model by Steele. Several authors, however, report pitfalls in the use of this method, such as "paradoxical" increase in EGP immediately after meal ingestion and "negative" rates of EGP. Different attempts have been made to reduce the impact of these errors, but the same problems are still encountered. In the present work a completely different approach is proposed, where cold and labeled [6, 6-2H2] glucose observations are simultaneously fitted and where both RD and EGP are represented by simple but reasonable functions. As an example, this approach is applied to an intra-venous experiment, where cold glucose is infused at variable rates to reproduce a desired glycaemic time-course. The goal of the present work is to show that appropriate, if simple, modelling of the whole infusion procedure together with the underlying physiological system allows robust estimation of EGP with single-tracer administration, without the artefacts produced by the Steele method.</description><subject>Biology and Life Sciences</subject><subject>Blood Glucose</subject><subject>Care and treatment</subject><subject>Complications and side effects</subject><subject>Diabetes</subject><subject>Engineering and Technology</subject><subject>Experiments</subject><subject>Fasting</subject><subject>Gastric emptying</subject><subject>Gastrointestinal surgery</subject><subject>Glucagon</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Glucose Tolerance Test</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hyperglycemia</subject><subject>Indicators and Reagents</subject><subject>Ingestion</subject><subject>Insulin</subject><subject>Insulin Resistance</subject><subject>Isotopes</subject><subject>Liver</subject><subject>Medicine and Health Sciences</subject><subject>Modelling</subject><subject>Patient outcomes</subject><subject>Perturbation</subject><subject>Physical Sciences</subject><subject>Physiology</subject><subject>Plasma</subject><subject>Research and Analysis Methods</subject><subject>Sensitivity</subject><subject>Stable isotopes</subject><subject>Tracers</subject><subject>Type 2 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modelling approach to hepatic glucose production estimation</title><author>Panunzi, Simona ; De Gaetano, Andrea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c622t-3bdbff56d66f86c0a77ebf10c23bb941ebdff7383586b5b783567a45c0f3778f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biology and Life Sciences</topic><topic>Blood Glucose</topic><topic>Care and treatment</topic><topic>Complications and side effects</topic><topic>Diabetes</topic><topic>Engineering and Technology</topic><topic>Experiments</topic><topic>Fasting</topic><topic>Gastric emptying</topic><topic>Gastrointestinal surgery</topic><topic>Glucagon</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Glucose Tolerance Test</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Hyperglycemia</topic><topic>Indicators and Reagents</topic><topic>Ingestion</topic><topic>Insulin</topic><topic>Insulin Resistance</topic><topic>Isotopes</topic><topic>Liver</topic><topic>Medicine and Health Sciences</topic><topic>Modelling</topic><topic>Patient outcomes</topic><topic>Perturbation</topic><topic>Physical Sciences</topic><topic>Physiology</topic><topic>Plasma</topic><topic>Research and Analysis Methods</topic><topic>Sensitivity</topic><topic>Stable isotopes</topic><topic>Tracers</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Panunzi, Simona</creatorcontrib><creatorcontrib>De Gaetano, Andrea</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: 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Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Panunzi, Simona</au><au>De Gaetano, Andrea</au><au>Palumbo, Pasquale</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A modelling approach to hepatic glucose production estimation</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-12-21</date><risdate>2022</risdate><volume>17</volume><issue>12</issue><spage>e0278837</spage><pages>e0278837-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Stable isotopes are currently used to measure glucose fluxes responsible for observed glucose concentrations, providing information on hepatic and peripheral insulin sensitivity. The determination of glucose turnover, along with fasting and postprandial glucose concentrations, is relevant for inferring insulin sensitivity levels. At equilibrium (e.g. during the fasting state) the rate of glucose entering the circulation equals its rate of disappearance from the circulation. If under these conditions tracer is infused at a constant rate and Specific Activity (SA) or Tracer to Tracee (TTR) ratio is computed, the Rate of Appearance (RA) equals the Rate of Disappearance (RD) and equals the ratio between infusion rate and TTR or SA. In the post-prandial situation or during perturbation studies, however, estimation of RA and RD becomes more complex because they are not necessarily equal and, furthermore, may vary over time due to gastric emptying, glucose absorption, appearance of ingested or infused glucose, variations of EGP and glucose disappearance. Up to now, the most commonly used approach to compute RA, RD and EGP has been the single-pool model by Steele. Several authors, however, report pitfalls in the use of this method, such as "paradoxical" increase in EGP immediately after meal ingestion and "negative" rates of EGP. Different attempts have been made to reduce the impact of these errors, but the same problems are still encountered. In the present work a completely different approach is proposed, where cold and labeled [6, 6-2H2] glucose observations are simultaneously fitted and where both RD and EGP are represented by simple but reasonable functions. As an example, this approach is applied to an intra-venous experiment, where cold glucose is infused at variable rates to reproduce a desired glycaemic time-course. The goal of the present work is to show that appropriate, if simple, modelling of the whole infusion procedure together with the underlying physiological system allows robust estimation of EGP with single-tracer administration, without the artefacts produced by the Steele method.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36542610</pmid><doi>10.1371/journal.pone.0278837</doi><tpages>e0278837</tpages><orcidid>https://orcid.org/0000-0003-0956-8578</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology and Life Sciences Blood Glucose Care and treatment Complications and side effects Diabetes Engineering and Technology Experiments Fasting Gastric emptying Gastrointestinal surgery Glucagon Glucose Glucose metabolism Glucose Tolerance Test Health aspects Humans Hyperglycemia Indicators and Reagents Ingestion Insulin Insulin Resistance Isotopes Liver Medicine and Health Sciences Modelling Patient outcomes Perturbation Physical Sciences Physiology Plasma Research and Analysis Methods Sensitivity Stable isotopes Tracers Type 2 diabetes |
title | A modelling approach to hepatic glucose production estimation |
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