Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study
Introduction: Glucose homeostasis may be dependent on liver conditions and influence health-related markers and quality of life (QoL) objective measurements. This study aimed to analyze the interactions of glycemia with liver and health status in a prediabetic population. Subjects and methods: This...
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2024-12-01
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| author | Omar Ramos-Lopez Diego Martinez-Urbistondo Santiago Navas-Carretero Ruixin Zhu Maija Huttunen-Lenz Gareth Stratton Teodora Handjieva-Darlenska Svetoslav Handjiev Jouko Ensio Sundvall Marta P. Silvestre Elli Jalo Kirsi H. Pietiläinen Tanja C. Adam Margriet Westerterp-Plantenga Elizabeth Simpson Ian MacDonald Moira A. Taylor Sally D. Poppitt Wolfgang Schlicht Jennie Brand-Miller Mikael Fogelholm Anne Raben J. Alfredo Martinez |
| author_facet | Omar Ramos-Lopez Diego Martinez-Urbistondo Santiago Navas-Carretero Ruixin Zhu Maija Huttunen-Lenz Gareth Stratton Teodora Handjieva-Darlenska Svetoslav Handjiev Jouko Ensio Sundvall Marta P. Silvestre Elli Jalo Kirsi H. Pietiläinen Tanja C. Adam Margriet Westerterp-Plantenga Elizabeth Simpson Ian MacDonald Moira A. Taylor Sally D. Poppitt Wolfgang Schlicht Jennie Brand-Miller Mikael Fogelholm Anne Raben J. Alfredo Martinez |
| author_sort | Omar Ramos-Lopez |
| collection | DOAJ |
| description | Introduction: Glucose homeostasis may be dependent on liver conditions and influence health-related markers and quality of life (QoL) objective measurements. This study aimed to analyze the interactions of glycemia with liver and health status in a prediabetic population. Subjects and methods: This study included 2220 overweight/obese prediabetics from the multinational PREVIEW project. Anthropometrics; clinical, metabolic and other health-related markers; and QoL variables were analyzed. Univariate and multilinear-adjusted regression models were run to explain the interrelationships and effect modification between glycemia, health-related QoL (applying SF-12) and metabolic/liver health (using the HSI, a putative marker of fatty liver). Results: Relevant age/sex interactions were found concerning the levels of insulin, HOMA-IR, C peptide and transaminases in this prediabetic population. Multivariate models identified age, sex, glucose, WC and QoL as important predictors of HSI variability (adj. R value = 0.1393, <i>p</i> < 0.001), whereas the QoL status was statistically related to age, sex, HOMA-IR and HSI (adj. R value = 0.1130, <i>p</i> < 0.001) in this glycemia-impaired group. Furthermore, the QoL values declined with increased HSI scores, where a significant interaction was found (<i>p</i> = 0.011) when the data were analyzed when comparing lower glycemia vs. higher glycemia in prediabetics. Indeed, an effect modification was featured depending on the glycemia levels concerning the QoL and HSI worsening. Conclusion: Glycemia associations with the QoL status and liver metabolism markers were evidenced, with clinical implications for diabetes and liver disease precision management given the modification of the QoL outcomes depending on the liver status and glycemia concentrations. Notably, independent associations of circulating glucose with age, sex, adiposity, inflammation and C peptide levels were found. |
| format | Article |
| id | doaj-art-ffb307f2b4a447d58481a49d7cfd4f4a |
| institution | DOAJ |
| issn | 2075-4418 |
| language | English |
| publishDate | 2024-12-01 |
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| spelling | doaj-art-ffb307f2b4a447d58481a49d7cfd4f4a2025-08-20T02:55:45ZengMDPI AGDiagnostics2075-44182024-12-011424289510.3390/diagnostics14242895Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview StudyOmar Ramos-Lopez0Diego Martinez-Urbistondo1Santiago Navas-Carretero2Ruixin Zhu3Maija Huttunen-Lenz4Gareth Stratton5Teodora Handjieva-Darlenska6Svetoslav Handjiev7Jouko Ensio Sundvall8Marta P. Silvestre9Elli Jalo10Kirsi H. Pietiläinen11Tanja C. Adam12Margriet Westerterp-Plantenga13Elizabeth Simpson14Ian MacDonald15Moira A. Taylor16Sally D. Poppitt17Wolfgang Schlicht18Jennie Brand-Miller19Mikael Fogelholm20Anne Raben21J. Alfredo Martinez22Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, MexicoInternal Medicine Department, Clinica Universidad de Navarra, 28027 Madrid, SpainCentre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, SpainDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, DenmarkInstitute for Nursing Science, University of Education Schwäbisch Gmünd, 73525 Schwäbisch Gmünd, GermanyApplied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea SA1 8EN, UKDepartment of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, BulgariaDepartment of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, BulgariaFinnish Institute for Health and Welfare, 00271 Helsinki, FinlandHuman Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New ZealandDepartment of Food and Nutrition, University of Helsinki, 00014 Helsinki, FinlandObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00014 Helsinki, FinlandDepartment of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The NetherlandsDepartment of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The NetherlandsMRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham DE22 3DT, UKMRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham DE22 3DT, UKNIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and University of Nottingham, The David Greenfield Human Physiology Unit, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG1 5DU, UKHuman Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New ZealandExercise and Health Sciences, University of Stuttgart, 70569 Stuttgart, GermanySchool of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, AustraliaDepartment of Food and Nutrition, University of Helsinki, 00014 Helsinki, FinlandDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, DenmarkCentre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, SpainIntroduction: Glucose homeostasis may be dependent on liver conditions and influence health-related markers and quality of life (QoL) objective measurements. This study aimed to analyze the interactions of glycemia with liver and health status in a prediabetic population. Subjects and methods: This study included 2220 overweight/obese prediabetics from the multinational PREVIEW project. Anthropometrics; clinical, metabolic and other health-related markers; and QoL variables were analyzed. Univariate and multilinear-adjusted regression models were run to explain the interrelationships and effect modification between glycemia, health-related QoL (applying SF-12) and metabolic/liver health (using the HSI, a putative marker of fatty liver). Results: Relevant age/sex interactions were found concerning the levels of insulin, HOMA-IR, C peptide and transaminases in this prediabetic population. Multivariate models identified age, sex, glucose, WC and QoL as important predictors of HSI variability (adj. R value = 0.1393, <i>p</i> < 0.001), whereas the QoL status was statistically related to age, sex, HOMA-IR and HSI (adj. R value = 0.1130, <i>p</i> < 0.001) in this glycemia-impaired group. Furthermore, the QoL values declined with increased HSI scores, where a significant interaction was found (<i>p</i> = 0.011) when the data were analyzed when comparing lower glycemia vs. higher glycemia in prediabetics. Indeed, an effect modification was featured depending on the glycemia levels concerning the QoL and HSI worsening. Conclusion: Glycemia associations with the QoL status and liver metabolism markers were evidenced, with clinical implications for diabetes and liver disease precision management given the modification of the QoL outcomes depending on the liver status and glycemia concentrations. Notably, independent associations of circulating glucose with age, sex, adiposity, inflammation and C peptide levels were found.https://www.mdpi.com/2075-4418/14/24/2895prediabetesadiposityfatty liverquality of life |
| spellingShingle | Omar Ramos-Lopez Diego Martinez-Urbistondo Santiago Navas-Carretero Ruixin Zhu Maija Huttunen-Lenz Gareth Stratton Teodora Handjieva-Darlenska Svetoslav Handjiev Jouko Ensio Sundvall Marta P. Silvestre Elli Jalo Kirsi H. Pietiläinen Tanja C. Adam Margriet Westerterp-Plantenga Elizabeth Simpson Ian MacDonald Moira A. Taylor Sally D. Poppitt Wolfgang Schlicht Jennie Brand-Miller Mikael Fogelholm Anne Raben J. Alfredo Martinez Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study Diagnostics prediabetes adiposity fatty liver quality of life |
| title | Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study |
| title_full | Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study |
| title_fullStr | Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study |
| title_full_unstemmed | Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study |
| title_short | Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study |
| title_sort | health and liver diagnostic markers influencing glycemia in subjects with prediabetes preview study |
| topic | prediabetes adiposity fatty liver quality of life |
| url | https://www.mdpi.com/2075-4418/14/24/2895 |
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