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Variability in Estimated Modelled Insulin Secretion

Background: The ability to measure insulin secretion from pancreatic beta cells and monitor glucose-insulin physiology is vital to current health needs. C-peptide has been used successfully as a surrogate for plasma insulin concentration. Quantifying the expected variability of modelled insulin secr...

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Published in:Journal of diabetes science and technology 2022-05, Vol.16 (3), p.732-741
Main Authors: Ormsbee, Jennifer J., Burden, Hannah J., Knopp, Jennifer L., Chase, J. Geoffrey, Murphy, Rinki, Shepherd, Peter R., Merry, Troy
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container_title Journal of diabetes science and technology
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Burden, Hannah J.
Knopp, Jennifer L.
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Murphy, Rinki
Shepherd, Peter R.
Merry, Troy
description Background: The ability to measure insulin secretion from pancreatic beta cells and monitor glucose-insulin physiology is vital to current health needs. C-peptide has been used successfully as a surrogate for plasma insulin concentration. Quantifying the expected variability of modelled insulin secretion will improve confidence in model estimates. Methods: Forty-three healthy adult males of Māori or Pacific peoples ancestry living in New Zealand participated in an frequently sampled, intravenous glucose tolerance test (FS-IVGTT) with an average age of 29 years and a BMI of 33 kg/m2. A 2-compartment model framework and standardized kinetic parameters were used to estimate endogenous pancreatic insulin secretion from plasma C-peptide measurements. Monte Carlo analysis (N = 10 000) was then used to independently vary parameters within ±2 standard deviations of the mean of each variable and the 5th and 95th percentiles determined the bounds of the expected range of insulin secretion. Cumulative distribution functions (CDFs) were calculated for each subject for area under the curve (AUC) total, AUC Phase 1, and AUC Phase 2. Normalizing each AUC by the participant’s median value over all N = 10 000 iterations quantifies the expected model-based variability in AUC. Results: Larger variation is found in subjects with a BMI > 30 kg/m2, where the interquartile range is 34.3% compared to subjects with a BMI ≤ 30 kg/m2 where the interquartile range is 24.7%. Conclusions: Use of C-peptide measurements using a 2-compartment model and standardized kinetic parameters, one can expect ~±15% variation in modelled insulin secretion estimates. The variation should be considered when applying this insulin secretion estimation method to clinical diagnostic thresholds and interpretation of model-based analyses such as insulin sensitivity.
doi_str_mv 10.1177/1932296821991120
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Geoffrey ; Murphy, Rinki ; Shepherd, Peter R. ; Merry, Troy</creator><creatorcontrib>Ormsbee, Jennifer J. ; Burden, Hannah J. ; Knopp, Jennifer L. ; Chase, J. Geoffrey ; Murphy, Rinki ; Shepherd, Peter R. ; Merry, Troy</creatorcontrib><description>Background: The ability to measure insulin secretion from pancreatic beta cells and monitor glucose-insulin physiology is vital to current health needs. C-peptide has been used successfully as a surrogate for plasma insulin concentration. Quantifying the expected variability of modelled insulin secretion will improve confidence in model estimates. Methods: Forty-three healthy adult males of Māori or Pacific peoples ancestry living in New Zealand participated in an frequently sampled, intravenous glucose tolerance test (FS-IVGTT) with an average age of 29 years and a BMI of 33 kg/m2. A 2-compartment model framework and standardized kinetic parameters were used to estimate endogenous pancreatic insulin secretion from plasma C-peptide measurements. Monte Carlo analysis (N = 10 000) was then used to independently vary parameters within ±2 standard deviations of the mean of each variable and the 5th and 95th percentiles determined the bounds of the expected range of insulin secretion. Cumulative distribution functions (CDFs) were calculated for each subject for area under the curve (AUC) total, AUC Phase 1, and AUC Phase 2. Normalizing each AUC by the participant’s median value over all N = 10 000 iterations quantifies the expected model-based variability in AUC. Results: Larger variation is found in subjects with a BMI &gt; 30 kg/m2, where the interquartile range is 34.3% compared to subjects with a BMI ≤ 30 kg/m2 where the interquartile range is 24.7%. Conclusions: Use of C-peptide measurements using a 2-compartment model and standardized kinetic parameters, one can expect ~±15% variation in modelled insulin secretion estimates. The variation should be considered when applying this insulin secretion estimation method to clinical diagnostic thresholds and interpretation of model-based analyses such as insulin sensitivity.</description><identifier>ISSN: 1932-2968</identifier><identifier>EISSN: 1932-2968</identifier><identifier>EISSN: 1932-3107</identifier><identifier>DOI: 10.1177/1932296821991120</identifier><identifier>PMID: 33588609</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adult ; Blood Glucose - analysis ; C-Peptide ; Diabetes Mellitus, Type 2 ; Glucose Tolerance Test ; Humans ; Insulin ; Insulin Resistance ; Insulin Secretion ; Male ; Original</subject><ispartof>Journal of diabetes science and technology, 2022-05, Vol.16 (3), p.732-741</ispartof><rights>2021 Diabetes Technology Society</rights><rights>2021 Diabetes Technology Society 2021 Diabetes Technology Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-c9a0f5bb1ade437a28daa186ecf6b4adf7a94dac805dceb1fa14e52a0a71bc983</citedby><cites>FETCH-LOGICAL-c434t-c9a0f5bb1ade437a28daa186ecf6b4adf7a94dac805dceb1fa14e52a0a71bc983</cites><orcidid>0000-0001-9343-3961 ; 0000-0002-8887-206X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294570/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294570/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792,79135</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33588609$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ormsbee, Jennifer J.</creatorcontrib><creatorcontrib>Burden, Hannah J.</creatorcontrib><creatorcontrib>Knopp, Jennifer L.</creatorcontrib><creatorcontrib>Chase, J. Geoffrey</creatorcontrib><creatorcontrib>Murphy, Rinki</creatorcontrib><creatorcontrib>Shepherd, Peter R.</creatorcontrib><creatorcontrib>Merry, Troy</creatorcontrib><title>Variability in Estimated Modelled Insulin Secretion</title><title>Journal of diabetes science and technology</title><addtitle>J Diabetes Sci Technol</addtitle><description>Background: The ability to measure insulin secretion from pancreatic beta cells and monitor glucose-insulin physiology is vital to current health needs. C-peptide has been used successfully as a surrogate for plasma insulin concentration. Quantifying the expected variability of modelled insulin secretion will improve confidence in model estimates. Methods: Forty-three healthy adult males of Māori or Pacific peoples ancestry living in New Zealand participated in an frequently sampled, intravenous glucose tolerance test (FS-IVGTT) with an average age of 29 years and a BMI of 33 kg/m2. A 2-compartment model framework and standardized kinetic parameters were used to estimate endogenous pancreatic insulin secretion from plasma C-peptide measurements. Monte Carlo analysis (N = 10 000) was then used to independently vary parameters within ±2 standard deviations of the mean of each variable and the 5th and 95th percentiles determined the bounds of the expected range of insulin secretion. Cumulative distribution functions (CDFs) were calculated for each subject for area under the curve (AUC) total, AUC Phase 1, and AUC Phase 2. Normalizing each AUC by the participant’s median value over all N = 10 000 iterations quantifies the expected model-based variability in AUC. Results: Larger variation is found in subjects with a BMI &gt; 30 kg/m2, where the interquartile range is 34.3% compared to subjects with a BMI ≤ 30 kg/m2 where the interquartile range is 24.7%. Conclusions: Use of C-peptide measurements using a 2-compartment model and standardized kinetic parameters, one can expect ~±15% variation in modelled insulin secretion estimates. 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Geoffrey</creator><creator>Murphy, Rinki</creator><creator>Shepherd, Peter R.</creator><creator>Merry, Troy</creator><general>SAGE Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9343-3961</orcidid><orcidid>https://orcid.org/0000-0002-8887-206X</orcidid></search><sort><creationdate>20220501</creationdate><title>Variability in Estimated Modelled Insulin Secretion</title><author>Ormsbee, Jennifer J. ; Burden, Hannah J. ; Knopp, Jennifer L. ; Chase, J. 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Geoffrey</creatorcontrib><creatorcontrib>Murphy, Rinki</creatorcontrib><creatorcontrib>Shepherd, Peter R.</creatorcontrib><creatorcontrib>Merry, Troy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of diabetes science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ormsbee, Jennifer J.</au><au>Burden, Hannah J.</au><au>Knopp, Jennifer L.</au><au>Chase, J. 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Results: Larger variation is found in subjects with a BMI &gt; 30 kg/m2, where the interquartile range is 34.3% compared to subjects with a BMI ≤ 30 kg/m2 where the interquartile range is 24.7%. Conclusions: Use of C-peptide measurements using a 2-compartment model and standardized kinetic parameters, one can expect ~±15% variation in modelled insulin secretion estimates. The variation should be considered when applying this insulin secretion estimation method to clinical diagnostic thresholds and interpretation of model-based analyses such as insulin sensitivity.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>33588609</pmid><doi>10.1177/1932296821991120</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9343-3961</orcidid><orcidid>https://orcid.org/0000-0002-8887-206X</orcidid><oa>free_for_read</oa></addata></record>
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1932-2968
1932-3107
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subjects Adult
Blood Glucose - analysis
C-Peptide
Diabetes Mellitus, Type 2
Glucose Tolerance Test
Humans
Insulin
Insulin Resistance
Insulin Secretion
Male
Original
title Variability in Estimated Modelled Insulin Secretion
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