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Man A, Knüsel L, Graf J, Lali R, Le A, Di Scipio M, Mohammadi-Shemirani P, Chong M, Pigeyre M, Kutalik Z, Paré G. Identification of effect modifiers using a stratified Mendelian randomization algorithmic framework. Eur J Epidemiol 2025:10.1007/s10654-025-01213-0. [PMID: 40072671 DOI: 10.1007/s10654-025-01213-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 02/21/2025] [Indexed: 03/14/2025]
Abstract
Mendelian randomization (MR) is a technique which uses genetic data to uncover causal relationships between variables. With the growing availability of large-scale biobank data, there is increasing interest in elucidating nuances in these relationships using MR. Stratified MR techniques such as doubly-ranked MR (DRMR) and residual stratification MR have been developed to identify nonlinearity in causal relationships. These methods calculate causal estimates within strata of the exposure adjusted to mitigate the impact of collider bias. However, their application to scenarios using a stratifying variable other than the exposure to identify the presence of effect modifiers has been limited. The reliable identification of effect modifiers is key to identifying subgroups of patients differentially affected by risk and protective factors. In this study, we present a stratified MR algorithm capable of identifying effect modifiers of causal relationships using adapted forms of DRMR and residual stratification MR. Through simulations, the algorithm was found to be robust at handling nonlinear relationships and forms of collider bias, accommodating both binary and continuous outcomes. Application of the stratified MR algorithm to 1,715 exposure-stratifying variable-outcome combinations identified two Bonferroni significant effect modifiers of causal relationships in the UK Biobank. The causal effect of body mass index on type 2 diabetes mellitus was attenuated with age, while the effect of LDL cholesterol on coronary artery disease was exacerbated with increased serum urate. Overall, we introduce a tool for detecting effect modifiers of causal relationships, and present two cases with clinical implications for personalized risk assessment of cardiometabolic diseases.
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Affiliation(s)
- Alice Man
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
- Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Leona Knüsel
- Department of Computational Biology, University of Lausanne, CH-1015, Lausanne, Switzerland
- Center for Primary Care and Public Health, University of Lausanne, 1010, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Josef Graf
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Computing and Software, Faculty of Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Ricky Lali
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Ann Le
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Matteo Di Scipio
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
- Michael G. DeGroote School of Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | | | - Michael Chong
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
| | - Marie Pigeyre
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada
- Department of Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
| | - Zoltán Kutalik
- Department of Computational Biology, University of Lausanne, CH-1015, Lausanne, Switzerland
- Center for Primary Care and Public Health, University of Lausanne, 1010, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Guillaume Paré
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada.
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
- Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON, L8L 2X2, Canada.
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Faraj S, Sequeira-Bisson IR, Lu L, Miles-Chan JL, Hoggard M, Barnett D, Parry-Strong A, Foster M, Krebs JD, Poppitt SD, Taylor MW, Mathrani A. Effect of a Higher-Protein Nut versus Higher-Carbohydrate Cereal Enriched Diet on the Gut Microbiomes of Chinese Participants with Overweight and Normoglycaemia or Prediabetes in the Tū Ora Study. Nutrients 2024; 16:1971. [PMID: 38931324 PMCID: PMC11206330 DOI: 10.3390/nu16121971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Global increases in metabolic disorders such as type 2 diabetes (T2D), especially within Asian populations, highlight the need for novel approaches to dietary intervention. The Tū Ora study previously evaluated the effects on metabolic health of including a nut product into the diet of a New Zealand cohort of Chinese participants with overweight and normoglycaemia or prediabetes through a 12-week randomised, parallel-group clinical trial. In this current study, we compared the impact of this higher-protein nut bar (HP-NB) versus a higher-carbohydrate cereal bar (HC-CB) on the faecal microbiome by employing both 16S rRNA gene amplicon and shotgun metagenomic sequencing of pre- and post-intervention pairs from 84 participants. Despite the higher fibre, protein, and unsaturated fat content of nuts, there was little difference between dietary groups in gut microbiome composition or functional potential, with the bacterial phylum Firmicutes dominating irrespective of diet. The lack of observed change suggests the dietary impact of the bars may have been insufficient to affect the gut microbiome. Manipulating the interplay between the diet, microbiome, and metabolic health may require a more substantial and/or prolonged dietary perturbation to generate an impactful modification of the gut ecosystem and its functional potential to aid in T2D risk reduction.
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Affiliation(s)
- Saif Faraj
- Human Nutrition Unit, University of Auckland, Auckland 1024, New Zealand; (S.F.); (I.R.S.-B.); (L.L.); (J.L.M.-C.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Ivana R. Sequeira-Bisson
- Human Nutrition Unit, University of Auckland, Auckland 1024, New Zealand; (S.F.); (I.R.S.-B.); (L.L.); (J.L.M.-C.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Louise Lu
- Human Nutrition Unit, University of Auckland, Auckland 1024, New Zealand; (S.F.); (I.R.S.-B.); (L.L.); (J.L.M.-C.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Jennifer L. Miles-Chan
- Human Nutrition Unit, University of Auckland, Auckland 1024, New Zealand; (S.F.); (I.R.S.-B.); (L.L.); (J.L.M.-C.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Michael Hoggard
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Daniel Barnett
- Department of Statistics, University of Auckland, Auckland 1010, New Zealand;
| | - Amber Parry-Strong
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- Department of Medicine, University of Otago, Dunedin 9054, New Zealand
- Centre for Endocrine, Diabetes and Obesity Research (CEDOR), Te Whatu Ora, Capital and Coast Health, Wellington P.O. Box 7902, New Zealand
| | - Meika Foster
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- Edible Research, Ohoka, Christchurch 7475, New Zealand
| | - Jeremy D. Krebs
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- Department of Medicine, University of Otago, Dunedin 9054, New Zealand
- Centre for Endocrine, Diabetes and Obesity Research (CEDOR), Te Whatu Ora, Capital and Coast Health, Wellington P.O. Box 7902, New Zealand
| | - Sally D. Poppitt
- Human Nutrition Unit, University of Auckland, Auckland 1024, New Zealand; (S.F.); (I.R.S.-B.); (L.L.); (J.L.M.-C.); (S.D.P.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Michael W. Taylor
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
| | - Akarsh Mathrani
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand; (A.P.-S.); (M.F.); (J.D.K.)
- School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand;
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Zamboni M, Mazzali G, Brunelli A, Saatchi T, Urbani S, Giani A, Rossi AP, Zoico E, Fantin F. The Role of Crosstalk between Adipose Cells and Myocytes in the Pathogenesis of Sarcopenic Obesity in the Elderly. Cells 2022; 11:3361. [PMID: 36359757 PMCID: PMC9655977 DOI: 10.3390/cells11213361] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/08/2022] [Accepted: 10/14/2022] [Indexed: 11/15/2023] Open
Abstract
As a result of aging, body composition changes, with a decline in muscle mass and an increase in adipose tissue (AT), which reallocates from subcutaneous to visceral depots and stores ectopically in the liver, heart and muscles. Furthermore, with aging, muscle and AT, both of which have recognized endocrine activity, become dysfunctional and contribute, in the case of positive energy balance, to the development of sarcopenic obesity (SO). SO is defined as the co-existence of excess adiposity and low muscle mass and function, and its prevalence increases with age. SO is strongly associated with greater morbidity and mortality. The pathogenesis of SO is complex and multifactorial. This review focuses mainly on the role of crosstalk between age-related dysfunctional adipose and muscle cells as one of the mechanisms leading to SO. A better understanding of this mechanisms may be useful for development of prevention strategies and treatments aimed at reducing the occurrence of SO.
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Affiliation(s)
- Mauro Zamboni
- Geriatrics Division, Department of Surgery, Dentistry, Pediatric and Gynecology, Healthy Aging Center, University of Verona, 37126 Verona, Italy
| | - Gloria Mazzali
- Geriatrics Division, Department of Medicine, University of Verona, 37126 Verona, Italy
| | - Anna Brunelli
- Geriatrics Division, Department of Surgery, Dentistry, Pediatric and Gynecology, Healthy Aging Center, University of Verona, 37126 Verona, Italy
| | - Tanaz Saatchi
- Geriatrics Division, Department of Surgery, Dentistry, Pediatric and Gynecology, Healthy Aging Center, University of Verona, 37126 Verona, Italy
| | - Silvia Urbani
- Geriatrics Division, Department of Surgery, Dentistry, Pediatric and Gynecology, Healthy Aging Center, University of Verona, 37126 Verona, Italy
| | - Anna Giani
- Geriatrics Division, Department of Surgery, Dentistry, Pediatric and Gynecology, Healthy Aging Center, University of Verona, 37126 Verona, Italy
| | - Andrea P. Rossi
- Geriatrics Division, Department of Medicine, AULSS2, Ospedale Ca’Foncello, 31100 Treviso, Italy
| | - Elena Zoico
- Geriatrics Division, Department of Medicine, University of Verona, 37126 Verona, Italy
| | - Francesco Fantin
- Geriatrics Division, Department of Medicine, University of Verona, 37126 Verona, Italy
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Odegaard AO, Jacobs DR, Van Wagner LB, Pereira MA. Levels of abdominal adipose tissue and metabolic-associated fatty liver disease (MAFLD) in middle age according to average fast-food intake over the preceding 25 years: the CARDIA Study. Am J Clin Nutr 2022; 116:255-262. [PMID: 35679431 PMCID: PMC9257467 DOI: 10.1093/ajcn/nqac079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 03/28/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Higher levels of intra-abdominal adipose tissue (IAAT) comprising visceral adipose tissue (VAT), intermuscular adipose tissue (IMAT), and liver fat are posited drivers of obesity-related chronic disease risk. Fast food is hypothesized to contribute to IAAT patterns. OBJECTIVES We quantified levels of abdominal subcutaneous adipose tissue (SAT), IAAT, and odds of metabolic-associated fatty liver disease (MAFLD) in middle age according to average fast-food intake over the preceding 25 y. METHODS We analyzed data from the Coronary Artery Risk Development in Young Adults (CARDIA) study. Participants underwent 6 clinical exams and measurements over 25 y with computed tomography-measured VAT, SAT, and IMAT (n = 3156), plus MAFLD defined by liver attenuation (≤40 Hounsfield units) and 1 metabolic abnormality at year 25 (2010, n = 3001, n cases = 302). We estimated means of VAT, SAT, IMAT, and liver attenuation at the year 25 exam according to categories of average fast-food intake over the previous 25 y adjusted for sociodemographic and lifestyle factors and logistic regression to estimate the odds ratio of MAFLD at year 25. RESULTS With higher average fast-food intake over 25 y (categorized as follows: never-1×/mo, >1×-3×/mo, 1-<2×/wk, 2-<3×/wk, ≥3×/wk), there were monotonic higher levels of VAT (98.5, 127.6, 134.5, 142.0, 145.5 cm3), P-trend < 0.0001, which were consistent across anthropometrically classified obesity categories. There was a similar pattern with liver fat. There were higher levels of IMAT and SAT with higher fast-food intake (P-trend = 0.003, 0.0002, respectively), with amounts leveling off at ≥2×/wk. In addition, compared with participants who ate fast food never-1×/mo, there were monotonic higher odds of having MAFLD at year 25 with higher average fast-food intake, with participants who ate fast food ≥3×/wk having an OR of MAFLD = 5.18 (95% CI: 2.87, 9.37). CONCLUSIONS There were monotonic higher levels of VAT, liver fat, and odds of having MAFLD in middle age according to higher average fast-food intake over the preceding 25 y.
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Affiliation(s)
- Andrew O Odegaard
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| | - David R Jacobs
- Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Lisa B Van Wagner
- Department of Medicine, Division of Gastroenterology & Hepatology and Department of Preventive Medicine, Division of Epidemiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mark A Pereira
- Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
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Bilet L, Phielix E, van de Weijer T, Gemmink A, Bosma M, Moonen-Kornips E, Jorgensen JA, Schaart G, Zhang D, Meijer K, Hopman M, Hesselink MKC, Ouwens DM, Shulman GI, Schrauwen-Hinderling VB, Schrauwen P. One-leg inactivity induces a reduction in mitochondrial oxidative capacity, intramyocellular lipid accumulation and reduced insulin signalling upon lipid infusion: a human study with unilateral limb suspension. Diabetologia 2020; 63:1211-1222. [PMID: 32185462 PMCID: PMC7228997 DOI: 10.1007/s00125-020-05128-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 01/30/2020] [Indexed: 01/06/2023]
Abstract
AIMS/HYPOTHESIS Physical inactivity, low mitochondrial function, increased intramyocellular lipid (IMCL) deposition and reduced insulin sensitivity are common denominators of chronic metabolic disorders, like obesity and type 2 diabetes. Yet, whether low mitochondrial function predisposes to insulin resistance in humans is still unknown. METHODS Here we investigated, in an intervention study, whether muscle with low mitochondrial oxidative capacity, induced by one-legged physical inactivity, would feature stronger signs of lipid-induced insulin resistance. To this end, ten male participants (age 22.4 ± 4.2 years, BMI 21.3 ± 2.0 kg/m2) underwent a 12 day unilateral lower-limb suspension with the contralateral leg serving as an active internal control. RESULTS In vivo, mitochondrial oxidative capacity, assessed by phosphocreatine (PCr)-recovery half-time, was lower in the inactive vs active leg. Ex vivo, palmitate oxidation to 14CO2 was lower in the suspended leg vs the active leg; however, this did not result in significantly higher [14C]palmitate incorporation into triacylglycerol. The reduced mitochondrial function in the suspended leg was, however, paralleled by augmented IMCL content in both musculus tibialis anterior and musculus vastus lateralis, and by increased membrane bound protein kinase C (PKC) θ. Finally, upon lipid infusion, insulin signalling was lower in the suspended vs active leg. CONCLUSIONS/INTERPRETATION Together, these results demonstrate, in a unique human in vivo model, that a low mitochondrial oxidative capacity due to physical inactivity directly impacts IMCL accumulation and PKCθ translocation, resulting in impaired insulin signalling upon lipid infusion. This demonstrates the importance of mitochondrial oxidative capacity and muscle fat accumulation in the development of insulin resistance in humans. TRIAL REGISTRATION ClinicalTrial.gov NCT01576250. FUNDING PS was supported by a 'VICI' Research Grant for innovative research from the Netherlands Organization for Scientific Research (Grant 918.96.618).
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Affiliation(s)
- Lena Bilet
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Esther Phielix
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Tineke van de Weijer
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Anne Gemmink
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Madeleen Bosma
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Esther Moonen-Kornips
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Johanna A Jorgensen
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Gert Schaart
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Dongyan Zhang
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Kenneth Meijer
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Maria Hopman
- Department of Physiology, Radbound University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - Matthijs K C Hesselink
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - D Margriet Ouwens
- Institute of Clinical Biochemistry and Pathobiochemistry, German Diabetes Center, Düsseldorf, Germany
| | - Gerald I Shulman
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
- Departments of Cellular & Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
| | - Vera B Schrauwen-Hinderling
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Patrick Schrauwen
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands.
- Department of Nutrition and Movement Sciences, Maastricht University Medical Center, P.O. Box 616, 6200 MD, Maastricht, the Netherlands.
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Motta MHA, Santos TM, Alencar GGD, Freitas RKGD, Siqueira GRD. ASSOCIATION BETWEEN BODY COMPOSITION AND FAT INFILTRATION IN THE LUMBAR MULTIFIDUS IN YOUNG ADULTS. REV BRAS MED ESPORTE 2020. [DOI: 10.1590/1517-869220202601186237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
ABSTRACT Introduction: The increase in body fat is a natural and progressive process with aging, allowing fat infiltration in ectopic sites, such as skeletal muscle, which disrupts its function. Objective: To evaluate the association between body composition, fat infiltration into the low back multifidus muscles, and history of low back pain. Methods: This is a transversal and qualitative study that included young adult subjects of both sexes, and excluded individuals with neurological and musculoskeletal disorders and pregnant women. Fat infiltration into the multifidus and cross section area by magnetic resonance imaging; body composition by Dual-energy X-ray absorptiometry (DXA), and physical activity level determined by the International Physical Activity Questionnaire (IPAQ) were evaluated. The sample was divided by sex and. Pearson and Spearman's correlation and stepwise linear regression were performed. For this study, a p<0.05, a level of significance of 5% and confidence interval of 95% were adopted. Results: Thirty-two individuals were evaluated (59.37% women; 40.63% men). There was a correlation between fat percentage and total cross-sectional area (CSAtotal) (r=0.525; p=0.021), in women, and with lean abdominal mass (r= −0.648; p=0.017) and Body Mass Index (BMI) (r= −0.644; p=0.018) in men. There was also an association, in women, between fat percentage and cross section area (R2=0.275; p=0.021; CI=0.364 − 3.925) and, in men, with lean abdominal mass (R2=0.420; p=0.017; CI: −9.981- [-1.235]). Conclusion: There was correlation between fat percentage in the multifidus and CSA in women, and lean abdominal mass and BMI in men. There was also an association between fat percentage and cross section area in women, and lean abdominal mass in men. However, there was no evidence of any correlation between pain and low back dysfunction. Level of evidence I; Diagnostic studies - Investigating a diagnostic test.
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Gao Y, Wang YC, Lu CQ, Zeng C, Chang D, Ju S. Correlations between the abdominal fat-related parameters and severity of coronary artery disease assessed by computed tomography. Quant Imaging Med Surg 2018; 8:579-587. [PMID: 30140620 DOI: 10.21037/qims.2018.07.06] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Obesity is considered a challenging public problem, which has been proven to be closely associated with coronary artery disease (CAD). Each risk factor of CAD has been separately studied many times in the past, but very few have comprehensively and quantitatively evaluated the relationship between the abdominal fat-related parameters and severity of CAD. The aim of this study was to analyze whether the abdominal fat-related parameters were associated with severity of CAD using abdominal non-enhanced computed tomography (NECT). Methods Patients who went through both abdominal NECT and invasive coronary angiography (ICA) were included and retrospectively analyzed. The abdominal fat-related parameters [the ratio of visceral adipose tissue to subcutaneous adipose tissue (VAT/SAT ratio)] and traditional cardiovascular risk factors were evaluated in the participants with or without obstructive CAD. The correlations between the abdominal fat-related parameters and severity of CAD were assessed, and the multivariable logistic regression analysis was performed to investigate the parameters that could be used to predict the severity of CAD. Results A total of 223 consecutive subjects (obstructive CAD group, n=117; non-obstructive CAD group, n=106) were analyzed. The VAT/SAT ratio was significantly higher (0.95±0.33 vs. 0.70±0.25, P<0.001) in obstructive CAD (O-CAD) patients than that in non-obstructive CAD (NO-CAD) patients. There was a trend to having nonalcoholic fatty liver disease (NAFLD) in the O-CAD patients than that of NO-CAD (P=0.002); the abdominal aortic calcification (AAC) score in O-CAD patients were higher than that in NO-CAD patients (P<0.001). The multivariable logistic regression analysis demonstrated that VAT/SAT ratio, NAFLD, and AAC score were independent predictors of O-CAD after adjusting the traditional cardiovascular risk factors. The area under the curve (AUC) of the combination of the above risk factors is 0.85, which leads to an increase in AUC than each risk factor alone in differentiating patients with or without O-CAD. Conclusions VAT/SAT ratio, NAFLD, and AAC score are correlated with the severity of CAD, indicating their characteristics of being independent risk factors for O-CAD, irrespective of the traditional cardiovascular risk factors. Those CT-derived parameters may make positive contributions to the differentiation of the patients with increased risk of O-CAD.
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Affiliation(s)
- Yating Gao
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yuan-Cheng Wang
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Chun-Qiang Lu
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Chuhui Zeng
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Di Chang
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Shenghong Ju
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
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Prevalence of Pre-Diabetes across Ethnicities: A Review of Impaired Fasting Glucose (IFG) and Impaired Glucose Tolerance (IGT) for Classification of Dysglycaemia. Nutrients 2017; 9:nu9111273. [PMID: 29165385 PMCID: PMC5707745 DOI: 10.3390/nu9111273] [Citation(s) in RCA: 105] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 11/15/2017] [Accepted: 11/18/2017] [Indexed: 12/11/2022] Open
Abstract
Prediabetes can be defined by the presence of impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT), or glycated haemoglobin (HbA1c) to identify individuals at increased risk of developing type 2 diabetes (T2D). The World Health Organization (WHO, 1999) and the American Diabetes Association (ADA, 2003) utilise different cut-off values for IFG (WHO: 6.1–6.9 mmol/L; ADA: 5.6–6.9 mmol/L) but the same cut-off values for IGT (7.8–11.0 mmol/L). This review investigates whether there are differences in prevalence of IFG, IGT, and combined IFG&IGT between ethnicities, in particular Asian Chinese and European Caucasians. In total, we identified 19 studies using the WHO1999 classification, for which the average proportional prevalence for isolated (i)-IFG, i-IGT, and combined IFG&IGT were 43.9%, 41.0%, and 13.5%, respectively, for Caucasian and 29.2%, 49.4%, and 18.2%, respectively, for Asian. For the 14 studies using ADA2003 classification, the average proportional i-IFG, i-IGT, and combined IFG&IGT prevalences were 58.0%, 20.3%, and 19.8%, respectively, for Caucasian; 48.1%, 27.7%, and 20.5%, respectively, for Asian. Whilst not statistically different, there may be clinically relevant differences in the two populations, with our observations for both classifications indicating that prevalence of i-IFG is higher in Caucasian cohorts whilst i-IGT and combined IFG&IGT are both higher in Asian cohorts.
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Obesity, Hepatic Steatosis, and Their Impact on Fat Infiltration of the Trunk Musculature Using Unenhanced Computed Tomography. J Comput Assist Tomogr 2017; 41:298-301. [PMID: 28230568 DOI: 10.1097/rct.0000000000000507] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES The aim of the study was to assess whether hepatic steatosis predicts muscle fat content independent of body mass index (BMI). METHODS Regions of interest were drawn over several trunk muscles and over the right lobe of the liver to obtain the computed tomography (CT) density in 100 subjects with unenhanced CT studies of the abdomen and pelvis. Univariate and multivariate linear regression were used to examine the associations between BMI and hepatic steatosis and between BMI and trunk muscle density. RESULTS Body mass index was associated with trunk muscle fat (P < 0.05) and hepatic steatosis (P < 0.05). Computed tomography density of the liver correlated with that of each trunk muscle (P < 0.05). After adjusting for age, sex, and BMI, hepatic steatosis was associated with increased trunk muscle fat content in the psoas only. CONCLUSIONS The association between muscle fat in most trunk muscles and hepatic steatosis is due to underlying BMI. However, hepatic steatosis predicted psoas muscle fat content independent of BMI (P < 0.05).
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Adami GF, Scopinaro N, Cordera R. Adipokine Pattern After Bariatric Surgery: Beyond the Weight Loss. Obes Surg 2016; 26:2793-2801. [DOI: 10.1007/s11695-016-2347-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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