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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

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, p < 0.001), whereas the QoL status was statistically related to age, sex, HOMA-IR and HSI (adj. R value = 0.1130, p < 0.001) in this glycemia-impaired group. Furthermore, the QoL values declined with increased HSI scores, where a significant interaction was found (p = 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.

Details

Title
Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study
Author
Ramos-Lopez, Omar 1   VIAFID ORCID Logo  ; Martinez-Urbistondo, Diego 2   VIAFID ORCID Logo  ; Navas-Carretero, Santiago 3   VIAFID ORCID Logo  ; Zhu, Ruixin 4 ; Huttunen-Lenz, Maija 5   VIAFID ORCID Logo  ; Stratton, Gareth 6   VIAFID ORCID Logo  ; Handjieva-Darlenska, Teodora 7 ; Handjiev, Svetoslav 7 ; Sundvall, Jouko Ensio 8 ; Silvestre, Marta P 9   VIAFID ORCID Logo  ; Jalo, Elli 10   VIAFID ORCID Logo  ; Pietiläinen, Kirsi H 11   VIAFID ORCID Logo  ; Adam, Tanja C 12 ; Westerterp-Plantenga, Margriet 12   VIAFID ORCID Logo  ; Simpson, Elizabeth 13 ; MacDonald, Ian 14 ; Taylor, Moira A 15   VIAFID ORCID Logo  ; Poppitt, Sally D 16   VIAFID ORCID Logo  ; Schlicht, Wolfgang 17   VIAFID ORCID Logo  ; Brand-Miller, Jennie 18   VIAFID ORCID Logo  ; Fogelholm, Mikael 10   VIAFID ORCID Logo  ; Raben, Anne 4   VIAFID ORCID Logo  ; Martinez, J Alfredo 19 

 Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, Mexico; [email protected] 
 Internal Medicine Department, Clinica Universidad de Navarra, 28027 Madrid, Spain; [email protected] 
 Centre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, Spain; [email protected]; Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain; IdiSNA, Navarra Institute for Health Research, 31009 Pamplona, Spain 
 Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, Denmark; [email protected] (R.Z.); [email protected] (A.R.) 
 Institute for Nursing Science, University of Education Schwäbisch Gmünd, 73525 Schwäbisch Gmünd, Germany; [email protected] 
 Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea SA1 8EN, UK; [email protected] 
 Department of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, Bulgaria; [email protected] (T.H.-D.); [email protected] (S.H.) 
 Finnish Institute for Health and Welfare, 00271 Helsinki, Finland; [email protected] 
 Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; [email protected] (M.P.S.); [email protected] (S.D.P.); CINTESIS, NOVA Medical School (NMS), Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal 
10  Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland; [email protected] (E.J.); [email protected] (M.F.) 
11  Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; [email protected] 
12  Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The Netherlands; [email protected] (T.C.A.); [email protected] (M.W.-P.) 
13  MRC/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, UK; [email protected] (E.S.); [email protected] (I.M.) 
14  MRC/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, UK; [email protected] (E.S.); [email protected] (I.M.); Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen’s Medical Centre, Nottingham NG7 2UH, UK 
15  NIHR 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, UK; [email protected] 
16  Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; [email protected] (M.P.S.); [email protected] (S.D.P.) 
17  Exercise and Health Sciences, University of Stuttgart, 70569 Stuttgart, Germany; [email protected] 
18  School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia; [email protected] 
19  Centre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, Spain; [email protected]; Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain; Precision Nutrition and Cardiometabolic Health, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; Medicine and Endocrinology Department, Universidad de Valladolid, 47002 Valladolid, Spain 
First page
2895
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20754418
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3149568274
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.