Is the DISST Applicable to a Malaysian Cohort?
The dynamic insulin sensitivity and secretion test (DISST) is a dynamic test that can quantify participant-specific insulin sensitivity (SI) values and endogenous insulin (UN) profiles. It is claimed that the DISST SI value is highly correlated to the Euglycemic Hyper-Insulinaemic Clamp EIC (R = 0.8...
Published in: | 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 |
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Institute of Electrical and Electronics Engineers Inc.
2023
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2-s2.0-85177443621 Abbas M.H.; Shamsuddin S.A.; Othman N.A.; Damanhuri N.S.; Chiew Meng B.C.; Muhamad Sauki N.S.; Setumin S.; Sopian M.M.; Chiew Y.S.; Chase J.G. Is the DISST Applicable to a Malaysian Cohort? 2023 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 10.1109/CoDIT58514.2023.10284228 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177443621&doi=10.1109%2fCoDIT58514.2023.10284228&partnerID=40&md5=8ae63cd2e2db192d56ad86c928eec43e The dynamic insulin sensitivity and secretion test (DISST) is a dynamic test that can quantify participant-specific insulin sensitivity (SI) values and endogenous insulin (UN) profiles. It is claimed that the DISST SI value is highly correlated to the Euglycemic Hyper-Insulinaemic Clamp EIC (R = 0.81), and the test can also contrast UN characteristics across participant groups with varying degrees of insulin resistance (IR) based on deconvolution of measured C-peptide data. The DISST, however, was only implemented on the New Zealand. In order to provide further insight and modelling capability for various ethnic cohorts, this study reports the first clinical trial employing the DISST model for a Malaysian cohort. Results show the inversely proportional relationship of BMI towards SI values and match expected outcomes for this cohort. In addition, results also show the relationship between area under the curve (AUC) U1, AUC U2 VS SI values. As the metabolic states of the individuals move from Normal to Type 2 Diabetes (T2D), the AUC Uz for Pre-diabetes and T2D are higher than the Normal group (in the range of 400 -1400 mU·min-1). As expected, the loss of U1 and reduced Uz define the UN characteristics of observed in individuals with T2D. Furthermore, higher AUC U1 1400 - 2000 mU·min-1) could define the participant potentially has IR, while lower AUC U1 (100 -700mU·min-1) could potentially denote that the participant could inherit insulin deficiency. This research clearly demonstrates the applicability of the DISST test to Malaysian, and potentially SE Asian who have different distributions of body fat and metabolic responses than the European-derived cohorts usually studied. © 2023 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
Abbas M.H.; Shamsuddin S.A.; Othman N.A.; Damanhuri N.S.; Chiew Meng B.C.; Muhamad Sauki N.S.; Setumin S.; Sopian M.M.; Chiew Y.S.; Chase J.G. |
spellingShingle |
Abbas M.H.; Shamsuddin S.A.; Othman N.A.; Damanhuri N.S.; Chiew Meng B.C.; Muhamad Sauki N.S.; Setumin S.; Sopian M.M.; Chiew Y.S.; Chase J.G. Is the DISST Applicable to a Malaysian Cohort? |
author_facet |
Abbas M.H.; Shamsuddin S.A.; Othman N.A.; Damanhuri N.S.; Chiew Meng B.C.; Muhamad Sauki N.S.; Setumin S.; Sopian M.M.; Chiew Y.S.; Chase J.G. |
author_sort |
Abbas M.H.; Shamsuddin S.A.; Othman N.A.; Damanhuri N.S.; Chiew Meng B.C.; Muhamad Sauki N.S.; Setumin S.; Sopian M.M.; Chiew Y.S.; Chase J.G. |
title |
Is the DISST Applicable to a Malaysian Cohort? |
title_short |
Is the DISST Applicable to a Malaysian Cohort? |
title_full |
Is the DISST Applicable to a Malaysian Cohort? |
title_fullStr |
Is the DISST Applicable to a Malaysian Cohort? |
title_full_unstemmed |
Is the DISST Applicable to a Malaysian Cohort? |
title_sort |
Is the DISST Applicable to a Malaysian Cohort? |
publishDate |
2023 |
container_title |
9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 |
container_volume |
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container_issue |
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doi_str_mv |
10.1109/CoDIT58514.2023.10284228 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177443621&doi=10.1109%2fCoDIT58514.2023.10284228&partnerID=40&md5=8ae63cd2e2db192d56ad86c928eec43e |
description |
The dynamic insulin sensitivity and secretion test (DISST) is a dynamic test that can quantify participant-specific insulin sensitivity (SI) values and endogenous insulin (UN) profiles. It is claimed that the DISST SI value is highly correlated to the Euglycemic Hyper-Insulinaemic Clamp EIC (R = 0.81), and the test can also contrast UN characteristics across participant groups with varying degrees of insulin resistance (IR) based on deconvolution of measured C-peptide data. The DISST, however, was only implemented on the New Zealand. In order to provide further insight and modelling capability for various ethnic cohorts, this study reports the first clinical trial employing the DISST model for a Malaysian cohort. Results show the inversely proportional relationship of BMI towards SI values and match expected outcomes for this cohort. In addition, results also show the relationship between area under the curve (AUC) U1, AUC U2 VS SI values. As the metabolic states of the individuals move from Normal to Type 2 Diabetes (T2D), the AUC Uz for Pre-diabetes and T2D are higher than the Normal group (in the range of 400 -1400 mU·min-1). As expected, the loss of U1 and reduced Uz define the UN characteristics of observed in individuals with T2D. Furthermore, higher AUC U1 1400 - 2000 mU·min-1) could define the participant potentially has IR, while lower AUC U1 (100 -700mU·min-1) could potentially denote that the participant could inherit insulin deficiency. This research clearly demonstrates the applicability of the DISST test to Malaysian, and potentially SE Asian who have different distributions of body fat and metabolic responses than the European-derived cohorts usually studied. © 2023 IEEE. |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
issn |
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language |
English |
format |
Conference paper |
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record_format |
scopus |
collection |
Scopus |
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1809678020993089536 |