Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans
ObjectiveSouth Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between ‘gold standard’ measures of adiposity, fitness, selected proteomic biomarkers, and insulin sensitivity among a cohort of SAs and European...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Endocrinology |
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| author | Pik Fang Kho Pik Fang Kho Laurel Stell Shirin Jimenez Shirin Jimenez Daniela Zanetti Daniela Zanetti Daniela Zanetti Daniel J. Panyard Kathleen L. Watson Ashish Sarraju Ashish Sarraju Ming-Li Chen Ming-Li Chen Lars Lind John R. Petrie Khin N. Chan Holly Fonda Kyla Kent Kyla Kent Jonathan N. Myers Jonathan N. Myers Jonathan N. Myers Latha Palaniappan Latha Palaniappan Latha Palaniappan Fahim Abbasi Themistocles L. Assimes Themistocles L. Assimes Themistocles L. Assimes Themistocles L. Assimes |
| author_facet | Pik Fang Kho Pik Fang Kho Laurel Stell Shirin Jimenez Shirin Jimenez Daniela Zanetti Daniela Zanetti Daniela Zanetti Daniel J. Panyard Kathleen L. Watson Ashish Sarraju Ashish Sarraju Ming-Li Chen Ming-Li Chen Lars Lind John R. Petrie Khin N. Chan Holly Fonda Kyla Kent Kyla Kent Jonathan N. Myers Jonathan N. Myers Jonathan N. Myers Latha Palaniappan Latha Palaniappan Latha Palaniappan Fahim Abbasi Themistocles L. Assimes Themistocles L. Assimes Themistocles L. Assimes Themistocles L. Assimes |
| author_sort | Pik Fang Kho |
| collection | DOAJ |
| description | ObjectiveSouth Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between ‘gold standard’ measures of adiposity, fitness, selected proteomic biomarkers, and insulin sensitivity among a cohort of SAs and Europeans (EURs).MethodsA total of 46 SAs and 41 EURs completed ‘conventional’ (lifestyle questionnaires, standard physical exam) as well as ‘gold standard’ (dual energy X-ray absorptiometry scan, cardiopulmonary exercise test, and insulin suppression test) assessments of adiposity, fitness, and insulin sensitivity. In a subset of 28 SAs and 36 EURs, we also measured the blood-levels of eleven IR-related proteins. We conducted Spearman correlation to identify correlates of steady-state plasma glucose (SSPG) derived from the insulin suppression test, followed by multivariable linear regression analyses of SSPG, adjusting for age, sex and ancestral group.ResultsSixteen of 30 measures significantly associated with SSPG, including one conventional and eight gold standard measures of adiposity, one conventional and one gold standard measure of fitness, and five proteins. Multivariable regressions revealed that gold standard measures and plasma proteins attenuated ancestral group differences in IR, suggesting their potential utility in assessing IR, especially among SAs.ConclusionAncestral group differences in IR may be explained by accurate measures of adiposity and fitness, with specific proteins possibly serving as useful surrogates for these measures, particularly for SAs. |
| format | Article |
| id | doaj-art-cbff484da13a432fb0b36687be4a45fd |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj-art-cbff484da13a432fb0b36687be4a45fd2025-01-20T05:23:37ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-01-011510.3389/fendo.2024.14927781492778Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and EuropeansPik Fang Kho0Pik Fang Kho1Laurel Stell2Shirin Jimenez3Shirin Jimenez4Daniela Zanetti5Daniela Zanetti6Daniela Zanetti7Daniel J. Panyard8Kathleen L. Watson9Ashish Sarraju10Ashish Sarraju11Ming-Li Chen12Ming-Li Chen13Lars Lind14John R. Petrie15Khin N. Chan16Holly Fonda17Kyla Kent18Kyla Kent19Jonathan N. Myers20Jonathan N. Myers21Jonathan N. Myers22Latha Palaniappan23Latha Palaniappan24Latha Palaniappan25Fahim Abbasi26Themistocles L. Assimes27Themistocles L. Assimes28Themistocles L. Assimes29Themistocles L. Assimes30Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United StatesDepartment of Biomedical Data Science, Stanford University, Stanford, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Internal Medicine, Division of Cardiovascular Medicine, University of California Davis Health, Davis, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United StatesInstitute of Genetic and Biomedical Research, National Research Council, Cagliari, Sardinia, ItalyDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Psychiatry, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United StatesDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden0School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United KingdomVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States1Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States2Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States2Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States3Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United StatesVeterans Affairs (VA) Palo Alto Healthcare System, Palo Alto, CA, United States2Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States3Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United StatesObjectiveSouth Asians (SAs) may possess a unique predisposition to insulin resistance (IR). We explored this possibility by investigating the relationship between ‘gold standard’ measures of adiposity, fitness, selected proteomic biomarkers, and insulin sensitivity among a cohort of SAs and Europeans (EURs).MethodsA total of 46 SAs and 41 EURs completed ‘conventional’ (lifestyle questionnaires, standard physical exam) as well as ‘gold standard’ (dual energy X-ray absorptiometry scan, cardiopulmonary exercise test, and insulin suppression test) assessments of adiposity, fitness, and insulin sensitivity. In a subset of 28 SAs and 36 EURs, we also measured the blood-levels of eleven IR-related proteins. We conducted Spearman correlation to identify correlates of steady-state plasma glucose (SSPG) derived from the insulin suppression test, followed by multivariable linear regression analyses of SSPG, adjusting for age, sex and ancestral group.ResultsSixteen of 30 measures significantly associated with SSPG, including one conventional and eight gold standard measures of adiposity, one conventional and one gold standard measure of fitness, and five proteins. Multivariable regressions revealed that gold standard measures and plasma proteins attenuated ancestral group differences in IR, suggesting their potential utility in assessing IR, especially among SAs.ConclusionAncestral group differences in IR may be explained by accurate measures of adiposity and fitness, with specific proteins possibly serving as useful surrogates for these measures, particularly for SAs.https://www.frontiersin.org/articles/10.3389/fendo.2024.1492778/fullSouth AsiansEuropeansinsulin resistancephysical activityplasma proteins analysismax VO2 |
| spellingShingle | Pik Fang Kho Pik Fang Kho Laurel Stell Shirin Jimenez Shirin Jimenez Daniela Zanetti Daniela Zanetti Daniela Zanetti Daniel J. Panyard Kathleen L. Watson Ashish Sarraju Ashish Sarraju Ming-Li Chen Ming-Li Chen Lars Lind John R. Petrie Khin N. Chan Holly Fonda Kyla Kent Kyla Kent Jonathan N. Myers Jonathan N. Myers Jonathan N. Myers Latha Palaniappan Latha Palaniappan Latha Palaniappan Fahim Abbasi Themistocles L. Assimes Themistocles L. Assimes Themistocles L. Assimes Themistocles L. Assimes Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans Frontiers in Endocrinology South Asians Europeans insulin resistance physical activity plasma proteins analysis max VO2 |
| title | Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans |
| title_full | Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans |
| title_fullStr | Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans |
| title_full_unstemmed | Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans |
| title_short | Associations between accurate measures of adiposity and fitness, blood proteins, and insulin sensitivity among South Asians and Europeans |
| title_sort | associations between accurate measures of adiposity and fitness blood proteins and insulin sensitivity among south asians and europeans |
| topic | South Asians Europeans insulin resistance physical activity plasma proteins analysis max VO2 |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1492778/full |
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