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Mohammad A, Ziyab AH, Mohammad T. Anthropometric and DXA-derived measures of body composition in relation to pre-diabetes among adults. BMJ Open Diabetes Res Care 2023; 11:e003412. [PMID: 37793678 PMCID: PMC10551999 DOI: 10.1136/bmjdrc-2023-003412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 09/08/2023] [Indexed: 10/06/2023] Open
Abstract
INTRODUCTION Abdominal obesity is the most common risk factor of pre-diabetes and diabetes. Currently, several types of indices are used for the determination of visceral fat-related abdominal obesity. To better understand the effect of the different adiposity indices, we sought to evaluate the association of different adiposity measurements, assessed using dual-energy X-ray absorptiometry (DXA), and pre-diabetes. RESEARCH DESIGN AND METHODS This cross-sectional study included 1184 adults between 18 and 65 years who participated in the Kuwait Wellbeing Study. Anthropometry measurements included body mass index (BMI) and waist-to-hip ratio. Total body fat (TBF) mass, android fat mass, gynoid fat, and visceral adipose tissue (VAT) mass were measured using the Lunar iDXA. Pre-diabetes was defined as 5.7≤HbA1c%≤6.4. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated. Area under the curve (AUC) was estimated for each adiposity measurement as predictor of pre-diabetes. RESULTS A total of 585 (49.4%) males and 599 (50.6%) females were enrolled in the study. Increased BMI (aPR obese vs normal=1.59, 95% CI: 1.19 to 2.12), waist-to-hip ratio (aPR Q4 vs Q1=1.25, 0.96 to 1.61), TBF (aPR Q4 vs Q1=1.58, 1.20 to 2.07), android fat (aPR Q4 vs Q1=1.67, 1.27 to 2.20), gynoid fat (aPR Q4 vs Q1=1.48, 1.16 to 1.89), android-to-gynoid fat ratio (aPR Q4 vs Q1=1.70, 1.27 to 2.28), and VAT mass (aPR Q4 vs Q1=2.05, 1.49 to 2.82) were associated with elevated pre-diabetes prevalence. Gynoid fat was associated with pre-diabetes among males (aPR Q4 vs Q1=1.71, 1.22 to 2.41), but not among females (aPR Q4 vs Q1=1.27, 0.90 to 1.78). Moreover, in terms of AUC, VAT had the highest estimated AUC of 0.680, followed by android-to-gynoid fat ratio (AUC: 0.647) and android fat (AUC: 0.646). CONCLUSIONS Pre-diabetes prevalence increased as adiposity measurements increased, with VAT mass demonstrating the highest AUC for pre-diabetes.
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Affiliation(s)
- Anwar Mohammad
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Ali H Ziyab
- Department of Community Medicine and Behavioral Sciences, College of Medicine, Kuwait University, Kuwait City, Kuwait
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Jurczewska J, Ostrowska J, Chełchowska M, Panczyk M, Rudnicka E, Kucharski M, Smolarczyk R, Szostak-Węgierek D. Abdominal Obesity in Women with Polycystic Ovary Syndrome and Its Relationship with Diet, Physical Activity and Insulin Resistance: A Pilot Study. Nutrients 2023; 15:3652. [PMID: 37630842 PMCID: PMC10459970 DOI: 10.3390/nu15163652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/18/2023] [Accepted: 08/19/2023] [Indexed: 08/27/2023] Open
Abstract
Abdominal obesity is a common feature of women with polycystic ovary syndrome (PCOS), and it is known to exacerbate insulin resistance (IR). Improper dietary and physical activity patterns are crucial environmental factors involved in the development of obesity, and they can significantly influence the central deposition of adipose tissue. Therefore, in this cross-sectional study, we aimed to evaluate the relationship between abdominal adiposity (measured by VAT (visceral adipose tissue), SAT (subcutaneous adipose tissue), VAT/SAT ratio (visceral to subcutaneous fat ratio), and WHR (waist-to-hip ratio)) and the prevalence and odds ratios of IR (measured by the homeostatic model assessment of insulin resistance (HOMA-IR), the homeostatic model assessment-adiponectin (HOMA-AD) and leptin to adiponectin ratio (L/A ratio)) in 56 PCOS women. Furthermore, we investigated the relationship between these abdominal obesity indices and diet and physical activity. An original food frequency questionnaire and Actigraph GT3X-BT were used to assess adherence to the diet recommended in IR and the level of physical activity, respectively. We observed a higher prevalence of IR among women with higher VAT, VAT/SAT, and WHR values compared to women with normal values of those abdominal obesity indices. Moreover, VAT/SAT seemed to be the best predictor of IR measured by HOMA-IR and HOMA-AD. However, VAT appeared to be the best and strongest predictor of IR measured by the L/A ratio. We also observed that higher adherence to the diet recommended in IR and higher levels of vigorous physical activity were associated with lower values of central fat accumulation indices and a greater chance of their normal values. Our findings indicate that central obesity increases the odds of IR and supports the beneficial role of diet and physical activity in the management of abdominal obesity in PCOS women.
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Affiliation(s)
- Justyna Jurczewska
- Department of Clinical Dietetics, Faculty of Health Sciences, Medical University of Warsaw, E Ciołka 27, 01-445 Warsaw, Poland; (J.J.); (D.S.-W.)
| | - Joanna Ostrowska
- Department of Clinical Dietetics, Faculty of Health Sciences, Medical University of Warsaw, E Ciołka 27, 01-445 Warsaw, Poland; (J.J.); (D.S.-W.)
| | - Magdalena Chełchowska
- Department of Screening Tests and Metabolic Diagnostics, Institute of Mother and Child, Kasprzaka 17a, 01-211 Warsaw, Poland;
| | - Mariusz Panczyk
- Department of Education and Research in Health Sciences, Faculty of Health Science, Medical University of Warsaw, 00-581 Warsaw, Poland;
| | - Ewa Rudnicka
- Department of Gynecological Endocrinology, Medical University of Warsaw, Karowa 2, 00-315 Warsaw, Poland; (E.R.); (M.K.); (R.S.)
| | - Marek Kucharski
- Department of Gynecological Endocrinology, Medical University of Warsaw, Karowa 2, 00-315 Warsaw, Poland; (E.R.); (M.K.); (R.S.)
| | - Roman Smolarczyk
- Department of Gynecological Endocrinology, Medical University of Warsaw, Karowa 2, 00-315 Warsaw, Poland; (E.R.); (M.K.); (R.S.)
| | - Dorota Szostak-Węgierek
- Department of Clinical Dietetics, Faculty of Health Sciences, Medical University of Warsaw, E Ciołka 27, 01-445 Warsaw, Poland; (J.J.); (D.S.-W.)
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Silver HJ, Olson D, Mayfield D, Wright P, Nian H, Mashayekhi M, Koethe JR, Niswender KD, Luther JM, Brown NJ. Effect of the glucagon-like peptide-1 receptor agonist liraglutide, compared to caloric restriction, on appetite, dietary intake, body fat distribution and cardiometabolic biomarkers: A randomized trial in adults with obesity and prediabetes. Diabetes Obes Metab 2023; 25:2340-2350. [PMID: 37188932 PMCID: PMC10544709 DOI: 10.1111/dom.15113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/17/2023]
Abstract
AIMS To investigate the hypothesis that weight loss with the glucagon-like peptide-1 receptor agonist (GLP-1RA) liraglutide alone would lead to a greater reduction in the proportion of fat to lean tissue mass when compared to caloric restriction (CR) alone, as well as when compared to treatment with sitagliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor, that also enhances GLP-1 activity - to determine the independent effects of each treatment. METHODS A total of 88 adults with obesity and prediabetes were randomized to 14 weeks of intervention with CR (-390 kcal/d), liraglutide (1.8 mg/d), or the dipeptidyl peptidase-4 inhibitor sitagliptin (100 mg/d) as a weight-neutral comparator. Changes between groups in appetite and hunger ratings measured via visual analogue scales, dietary intakes, body weight, body composition via dual energy x-ray absorptiometry, and resting energy expenditure via indirect calorimetry were assessed using the Kruskal-Wallis test or Pearson's chi-squared test. RESULTS Weight loss ≥5% of baseline body weight occurred in 44% of participants in the CR group, 22% of the liraglutide group and 5% of the sitagliptin group (p = 0.02). The ratio of fat to lean mass decreased by 6.5% in the CR group, 2.2% in the liraglutide group, and 0% in the sitagliptin group (p = 0.02). Visceral fat reduced by 9.5% in the CR group, 4.8% in the liraglutide group, and 0% in the sitagliptin group (p = 0.04). A spontaneous reduction in dietary simple carbohydrates in the CR group was associated with improved homeostatic model assessment of insulin resistance score (HOMA-IR). CONCLUSIONS Although both liraglutide and CR are valuable strategies for cardiometabolic risk reduction, CR was associated with greater weight loss and more favourable improvements in body composition than treatment with liraglutide alone. Differences in the response to each of these interventions enables patients to be stratified to the most optimal intervention for their personal risk factors.
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Affiliation(s)
- Heidi J. Silver
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Dianna Olson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dustin Mayfield
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Patricia Wright
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Hui Nian
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Mona Mashayekhi
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John R. Koethe
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Kevin D. Niswender
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - James M. Luther
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Nancy J. Brown
- School of Medicine, Yale University, New Haven, Connecticut, USA
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Blake T, Gullick NJ, Hutchinson CE, Bhalerao A, Wayte S, Weedall A, Barber TM. More than skin-deep: visceral fat is strongly associated with disease activity, function and metabolic indices in psoriatic disease. Arthritis Res Ther 2023; 25:108. [PMID: 37353811 PMCID: PMC10288730 DOI: 10.1186/s13075-023-03085-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 06/04/2023] [Indexed: 06/25/2023] Open
Abstract
OBJECTIVE To compare body composition between patients with psoriatic disease (PsD), including cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), and controls, and to explore associations between disease activity and measures of function and metabolic derangement. METHODS Body composition was assessed by air displacement plethysmography (ADP) and MRI-derived fat segmentation using an automated pipeline (FatSegNet). Function was assessed by Health Assessment Questionnaire (HAQ) and metabolic status by fasting lipid profile, insulin and adiponectin. Active and inactive PsO and PsA were defined by body surface area (BSA) and Psoriasis Area Severity Index (PASI) and minimal disease activity (MDA), respectively. RESULTS Thirty patients (median disease duration 15 years; median age 52 years) and 30 BMI-matched controls were enrolled. Compared with controls, all MRI-derived body composition parameters-whole-body volume, subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), abdominal adipose tissue (AAT), VAT/AAT and VAT/SAT-were higher in the PsD group, specifically, those with active disease. Body mass, body fat, whole-body volume and whole-body VAT were correlated with higher triglycerides, cholesterol:HDL (high-density lipoprotein), insulin resistance and lower adiponectin as well as higher HAQ and lower MDA. CONCLUSIONS In this pilot study, patients with PsD revealed excessive total adipose tissue and a greater volume of metabolically unfavourable ectopic fat, including VAT, compared with BMI-matched controls, which also correlated with HAQ, disease activity and overall dysmetabolism. We also provide the first evidence in patients with PsD for the clinical application of FatSegNet: a novel, automated and rapid deep learning pipeline for providing accurate MRI-based measurement of fat segmentation. Our findings suggest the need for a more integrated approach to the management of PsD, which considers both the metabolic and inflammatory burden of disease. More specifically, visceral fat is a surrogate marker of uncontrolled PsD and may be an important future target for both pharmacological and lifestyle interventions.
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Affiliation(s)
- Tim Blake
- Department of Rheumatology, University Hospitals Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV2 2DX, UK.
- Warwick Medical School, University of Warwick, Coventry, CV4 7HL, UK.
| | - Nicola J Gullick
- Department of Rheumatology, University Hospitals Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV2 2DX, UK
- Warwick Medical School, University of Warwick, Coventry, CV4 7HL, UK
| | - Charles E Hutchinson
- Warwick Medical School, University of Warwick, Coventry, CV4 7HL, UK
- Division of Biomedical Sciences, Warwick Medical School, Clinical Sciences Research Laboratories, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | - Abhir Bhalerao
- Department of Computer Science, University of Warwick, Coventry, CV4 7EZ, UK
| | - Sarah Wayte
- Department of Radiology, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
- Radiology Physics, Department of Clinical Physics and Bioengineering, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | - Andrew Weedall
- Department of Radiology, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
- Radiology Physics, Department of Clinical Physics and Bioengineering, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | - Thomas M Barber
- Division of Biomedical Sciences, Warwick Medical School, Clinical Sciences Research Laboratories, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK
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Chen L, Qin G, Liu Y, Li M, Li Y, Guo LZ, Du L, Zheng W, Wu PC, Chuang YH, Wang X, Wang TD, Ho JAA, Liu TM. Label-free optical metabolic imaging of adipose tissues for prediabetes diagnosis. Theranostics 2023; 13:3550-3567. [PMID: 37441598 PMCID: PMC10334843 DOI: 10.7150/thno.82697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 05/11/2023] [Indexed: 07/15/2023] Open
Abstract
Rationale: Prediabetes can be reversed through lifestyle intervention, but its main pathologic hallmark, insulin resistance (IR), cannot be detected as conveniently as blood glucose testing. In consequence, the diagnosis of prediabetes is often delayed until patients have hyperglycemia. Therefore, developing a less invasive diagnostic method for rapid IR evaluation will contribute to the prognosis of prediabetes. Adipose tissue is an endocrine organ that plays a crucial role in the development and progression of prediabetes. Label-free visualizing the prediabetic microenvironment of adipose tissues provides a less invasive alternative for the characterization of IR and inflammatory pathology. Methods: Here, we successfully identified the differentiable features of prediabetic adipose tissues by employing the metabolic imaging of three endogenous fluorophores NAD(P)H, FAD, and lipofuscin-like pigments. Results: We discovered that 1040-nm excited lipofuscin-like autofluorescence could mark the location of macrophages. This unique feature helps separate the metabolic fluorescence signals of macrophages from those of adipocytes. In prediabetes fat tissues with IR, we found only adipocytes exhibited a low redox ratio of metabolic fluorescence and high free NAD(P)H fraction a1. This differential signature disappears for mice who quit the high-fat diet or high-fat-high-sucrose diet and recover from IR. When mice have diabetic hyperglycemia and inflamed fat tissues, both adipocytes and macrophages possess this kind of metabolic change. As confirmed with RNA-seq analysis and histopathology evidence, the change in adipocyte's metabolic fluorescence could be an indicator or risk factor of prediabetic IR. Conclusion: Our study provides an innovative approach to diagnosing prediabetes, which sheds light on the strategy for diabetes prevention.
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Affiliation(s)
- Liping Chen
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Guihui Qin
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Yuhong Liu
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Moxin Li
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Yue Li
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Lun-Zhang Guo
- Institute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Lidong Du
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Weiming Zheng
- Translational Medicine R&D Center, Zhuhai UM Science and Technology Research Institute, Zhuhai, China
| | - Pei-Chun Wu
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- Department of Biochemical Science & Technology, National Taiwan University, Taipei 10617, Taiwan
| | - Yueh-Hsun Chuang
- Department of Anesthesiology, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan
| | - Xiaoyan Wang
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Tzung-Dau Wang
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan
| | - Ja-An Annie Ho
- Department of Biochemical Science & Technology, National Taiwan University, Taipei 10617, Taiwan
| | - Tzu-Ming Liu
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
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He J, Fan Y, Zhang L, Li C, Guo F, Zhu J, Guo P, Zhang B, Zhang M, Zhang M. Habitual night sleep duration is associated with general obesity and visceral obesity among Chinese women, independent of sleep quality. Front Public Health 2023; 11:1053421. [PMID: 36755902 PMCID: PMC9899857 DOI: 10.3389/fpubh.2023.1053421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 01/02/2023] [Indexed: 01/24/2023] Open
Abstract
Purpose Research on the relationship between sleep duration and obesity defined using multiple anthropometric and bioelectrical indices in women remains scarce. We aimed to explore the association between sleep duration and body mass index (BMI), waist-hip ratio (WHR), body fat percentage (PBF) and visceral fat area (VFA) among females. Methods We recruited women for medical examination using multistage cluster sampling. Sleep was assessed using Pittsburgh Sleep Quality Index (PSQI) and sleep duration was categorized into short (<7 h), optimal (7 <9 h) and long sleep (≥ 9 h). Weight and height were measured using a calibrated stadiometer. Waist circumference was manually measured. PBF, and VFA were estimated by bioelectrical impedance analysis. Data on sociodemographic characteristics and lifestyle factors were also collected and included in the logistic regression models to explore the independent association between sleep duration and obesity defined by different indices. Results A total of 7,763 women with a mean age of 42.6 ± 13.5 years were included. The percentage of women reporting short and long sleep was 10.3 and 13.4% respectively. The mean BMI, WHR, PBF and VFA were 23.07 ± 3.30 kg/m2, 0.78 ± 0.06, 32.23 ± 6.08% and 91.64 ± 35.97cm2, respectively. Short sleep was independently associated with 35% (95% CI: 1.05-1.75) increased odds of general obesity (BMI ≥ 28 kg/cm2), and long sleep was associated with 18% (95% CI: 1.01-1.37) increased odds of visceral obesity (VFA > 100 cm2). No association was observed between sleep deprivation or excessive sleep and high WHR or high PBF. Conclusion In women, short sleep was associated with an increased odds of general obesity, whereas long sleep was associated with an increased odds of visceral obesity. Longitudinal observations are needed to confirm this cross-sectional relationship.
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Affiliation(s)
- Jiangshan He
- School of Medicine, Nankai University, Tianjin, China
| | - Yaqi Fan
- School of Medicine, Nankai University, Tianjin, China
| | - Li Zhang
- Health Management Centre, Tianjin First Central Hospital, Tianjin, China
| | - Chunjun Li
- Tianjin Union Medical Center, Tianjin, China
| | - Fenghua Guo
- School of Medicine, Nankai University, Tianjin, China
| | - Jiahui Zhu
- School of Medicine, Nankai University, Tianjin, China
| | - Pei Guo
- School of Medicine, Nankai University, Tianjin, China
| | - Binbin Zhang
- School of Medicine, Nankai University, Tianjin, China
| | - Mianzhi Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China,Department of Nephrology, Tianjin Academy of Traditional Medicine Affiliated Hospital, Tianjin, China
| | - Minying Zhang
- School of Medicine, Nankai University, Tianjin, China,*Correspondence: Minying Zhang ✉
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Jung M, Rospleszcz S, Löffler MT, Walter SS, Maurer E, Jungmann PM, Peters A, Nattenmüller J, Schlett CL, Bamberg F, Kiefer LS, Diallo TD. Association of lumbar vertebral bone marrow and paraspinal muscle fat composition with intervertebral disc degeneration: 3T quantitative MRI findings from the population-based KORA study. Eur Radiol 2023; 33:1501-1512. [PMID: 36241920 PMCID: PMC9935727 DOI: 10.1007/s00330-022-09140-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To assess the association of lumbar bone marrow adipose tissue fat fraction (BMAT-FF) and paraspinal muscle proton density fat fraction (PDFF) and their interplay with intervertebral disc degeneration (IVDD). METHODS In this retrospective cross-sectional study based on a prospective population-based cohort, BMAT-FF and PDFF of asymptomatic individuals were calculated based on 3T-MRI dual-echo and multi-echo Dixon VIBE sequences. IVDD was assessed at motion segments L1 to L5 and dichotomized based on Pfirrmann grade ≥ 4 and/or presence of other severe degenerative changes or spinal abnormalities at least at one segment. Pearson's correlation coefficients were calculated for BMAT-FF and PDFF. Univariable and multivariable logistic regression models for IVDD were calculated. RESULTS Among 335 participants (mean age: 56.2 ± 9.0 years, 43.3% female), the average BMI was 27.7 ± 4.5 kg/m2 and the prevalence of IVDD was high (69.9%). BMAT-FF and PDFF were significantly correlated (r = 0.31-0.34; p < 0.001). The risk for IVDD increased with higher PDFF (OR = 1.45; CI 1.03, 2.04) and BMAT-FF (OR = 1.56; CI 1.16, 2.11). Pairwise combinations of PDFF and BMAT-FF quartiles revealed a lower risk for IVDD in individuals in the lowest BMAT-FF and PDFF quartile (OR = 0.21; CI 0.1, 0.48). Individuals in the highest BMAT-FF and PDFF quartile showed an increased risk for IVDD (OR = 5.12; CI 1.17, 22.34) CONCLUSION: Lumbar BMAT-FF and paraspinal muscle PDFF are correlated and represent both independent and additive risk factors for IVDD. Quantitative MRI measurements of paraspinal myosteatosis and vertebral bone marrow fatty infiltration may serve as imaging biomarkers to assess the individual risk for IVDD. KEY POINTS • Fat composition of the lumbar vertebral bone marrow is positively correlated with paraspinal skeletal muscle fat. • Higher fat-fractions of lumbar vertebral bone marrow and paraspinal muscle are both independent as well as additive risk factors for intervertebral disc degeneration. • Quantitative magnetic resonance imaging measurements of bone marrow and paraspinal muscle may serve as imaging biomarkers for intervertebral disc degeneration.
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Affiliation(s)
- Matthias Jung
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106, Freiburg, Germany.
| | - Susanne Rospleszcz
- grid.4567.00000 0004 0483 2525Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Oberschleißheim, Germany ,grid.5252.00000 0004 1936 973XDepartment of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University München, Munich, Germany
| | - Maximilian T. Löffler
- grid.5963.9Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106 Freiburg, Germany ,grid.6936.a0000000123222966Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - Sven S. Walter
- grid.10392.390000 0001 2190 1447Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, Tuebingen, Germany ,grid.137628.90000 0004 1936 8753Division of Musculoskeletal Radiology, Department of Radiology, NYU Grossman School of Medicine, 660 1st Ave, New York, NY 10016 USA
| | - Elke Maurer
- grid.482867.70000 0001 0211 6259Department of Trauma and Reconstructive Surgery, BG Unfallklinik, Schnarrenbergstraße 95, 72070 Tuebingen, Germany
| | - Pia M. Jungmann
- grid.5963.9Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106 Freiburg, Germany
| | - Annette Peters
- grid.4567.00000 0004 0483 2525Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Oberschleißheim, Germany ,grid.5252.00000 0004 1936 973XDepartment of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University München, Munich, Germany
| | - Johanna Nattenmüller
- grid.5963.9Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106 Freiburg, Germany
| | - Christopher L. Schlett
- grid.5963.9Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106 Freiburg, Germany
| | - Fabian Bamberg
- grid.5963.9Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106 Freiburg, Germany
| | - Lena S. Kiefer
- grid.10392.390000 0001 2190 1447Department of Diagnostic and Interventional Radiology, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Thierno D. Diallo
- grid.5963.9Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Strasse 55, 79106 Freiburg, Germany
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Association between lung opacities and visceral fat in COVID-19 patients. Pol J Radiol 2023; 88:e119-e123. [PMID: 36910886 PMCID: PMC9995241 DOI: 10.5114/pjr.2023.125407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/21/2022] [Indexed: 03/06/2023] Open
Abstract
Purpose To assess the relationship between the amount of the epigastric visceral fat area and the severity of pneumonia in the course of COVID-19 using chest computed tomography (CT) examinations. Material and methods 177 patients (54 female), with COVID-19 infection were included. A routine chest CT was performed to assess the severity of pneumonia. The affected lung tissue as well as semi-quantitative scales such as the Chest CT Score and Total Opacity Score were calculated using SyngoVia VB30A CT Pneumonia Analysis software. The epigastric region area of visceral fat (L1) was also determined. Results The mean value of the visceral adipose tissue area was 196.23 ± 101.36 cm2. The area of adipose tissue significantly correlated with the percentage of the affected lung tissue (r = 0.1476; p = 0.050), the Chest CT Score (r = 0.2086; p = 0.005), and the Total Opacity Score (r = 0.1744; p = 0.200). The mean area of adipose tissue in the age group ≥ 65 years was 216.13 ± 105.19 cm2, while in the group < 65 years, it was 169.18 ± 89.69 cm2. This difference was statistically significant (p = 0.002). Conclusions The study showed a relationship between the area of visceral adipose tissue and the degree of lung inflammation in COVID-19 disease in patients under 65 years of age.
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9
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Obesity as a mediator linking sleep-disordered breathing to both impaired fasting glucose and type 2 diabetes. Sleep Breath 2022; 27:1067-1080. [DOI: 10.1007/s11325-022-02705-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 08/24/2022] [Accepted: 08/30/2022] [Indexed: 10/14/2022]
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10
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Stenkula KG, Klemendz LE, Fryklund C, Wierup N, Alsalim W, Landin-Olsson M, Trinh L, Månsson S, Bennet L. Postprandial triglyceride levels rather than fat distribution may reflect early signs of disturbed fat metabolism in Iraqi immigrants. Lipids Health Dis 2022; 21:68. [PMID: 35927727 PMCID: PMC9351238 DOI: 10.1186/s12944-022-01679-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/19/2022] [Indexed: 12/19/2022] Open
Abstract
PURPOSE Previous studies have shown that at a similar body mass index, Middle Eastern immigrants are more insulin resistant and at higher risk for type 2 diabetes (T2D) than native Europeans. Insulin resistance is strongly associated with disturbed fat metabolism and cardiovascular disease (CVD). However, fat metabolism is poorly investigated comparing Middle Eastern and European ethnicities. METHODS This observational study included 26 Iraqi and 16 Swedish-born men without T2D or clinical risk factors for CVD. An oral fat tolerance test (OFTT) was performed, where plasma triglycerides (p-TG) were measured for 6 h. mRNA expression and adipocyte size were measured in subcutaneous adipose tissue biopsies collected prior to OFTT, and magnetic resonance imaging was conducted to assess body fat distribution. RESULTS The median p-TG accumulation was higher and the clearance slower among Iraqis than Swedes. None of the groups reached their fasting p-TG (Iraqis 1.55 mmol/l; Swedes 0.95 mmol/l) after 6 h (Iraqis p-TG 3.10 mmol/l; Swedes p-TG 1.50 mmol/l). Adipocyte size, mRNA expression, and fat accumulation in the liver, muscle and abdomen were similar in both groups. CONCLUSION Postprandial p-TG levels rather than fat distribution may reflect early signs of disturbed fat metabolism in Iraqi immigrants without CVD risk factors.
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Affiliation(s)
- Karin G Stenkula
- Department of Experimental Medical Sciences, Lund University, Lund, Sweden.
| | | | - Claes Fryklund
- Department of Experimental Medical Sciences, Lund University, Lund, Sweden
| | - Nils Wierup
- Lund University Diabetes Centre, Malmö, Sweden
| | - Wathik Alsalim
- Lund University, Skåne University Hospital Lund, Lund, Sweden
| | | | - Lena Trinh
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Sven Månsson
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Louise Bennet
- Lund University, Skåne University Hospital Lund, Lund, Sweden
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11
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Kiefer LS, Fabian J, Rospleszcz S, Lorbeer R, Machann J, Kraus MS, Fischer M, Roemer F, Rathmann W, Meisinger C, Heier M, Nikolaou K, Peters A, Storz C, Schlett CL, Bamberg F. Population-based cohort imaging: skeletal muscle mass by magnetic resonance imaging in correlation to bioelectrical-impedance analysis. J Cachexia Sarcopenia Muscle 2022; 13:976-986. [PMID: 35080141 PMCID: PMC8977960 DOI: 10.1002/jcsm.12913] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 11/12/2021] [Accepted: 12/06/2021] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Skeletal muscle mass is subjected to constant changes and is considered a good predictor for outcome in various diseases. Bioelectrical-impedance analysis (BIA) and magnetic resonance imaging (MRI) are approved methodologies for its assessment. However, muscle mass estimations by BIA may be influenced by excess intramuscular lipids and adipose tissue in obesity. The objective of this study was to evaluate the feasibility of quantitative assessment of skeletal muscle mass by MRI as compared with BIA. METHODS Subjects from a population-based cohort underwent BIA (50 kHz, 0.8 mA) and whole-body MRI including chemical-shift encoded MRI (six echo times). Abdominal muscle mass by MRI was quantified as total and fat-free cross-sectional area by a standardized manual segmentation-algorithm and normalized to subjects' body height2 (abdominal muscle mass indices: AMMIMRI ). RESULTS Among 335 included subjects (56.3 ± 9.1 years, 56.1% male), 95 (28.4%) were obese (BMI ≥ 30 kg/m2 ). MRI-based and BIA-based measures of muscle mass were strongly correlated, particularly in non-obese subjects [r < 0.74 in non-obese (P < 0.001) vs. r < 0.56 in obese (P < 0.001)]. Median AMMITotal(MRI) was significantly higher in obese as compared with non-obese subjects (3246.7 ± 606.1 mm2 /m2 vs. 2839.0 ± 535.8 mm2 /m2 , P < 0.001, respectively), whereas the ratio AMMIFat-free /AMMITotal (by MRI) was significantly higher in non-obese individuals (59.3 ± 10.1% vs. 53.5 ± 10.6%, P < 0.001, respectively). No significant difference was found regarding AMMIFat-free(MRI) (P = 0.424). In analyses adjusted for age and sex, impaired glucose tolerance and measures of obesity were significantly and positively associated with AMMITotal(MRI) and significantly and inversely with the ratio AMMIFat-free(MRI) /AMMITotal(MRI) (P < 0.001). CONCLUSIONS MRI-based assessment of muscle mass is feasible in population-based imaging and strongly correlated with BIA. However, the observed weaker correlation in obese subjects may explain the known limitation of BIA in obesity and promote MRI-based assessments. Thus, skeletal muscle mass parameters by MRI may serve as practical imaging biomarkers independent of subjects' body weight.
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Affiliation(s)
- Lena S Kiefer
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany
| | - Jana Fabian
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany
| | - Susanne Rospleszcz
- Department of Epidemiology, Ludwig-Maximilians-University München, Munich, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Roberto Lorbeer
- Department of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), Munich, Germany
| | - Jürgen Machann
- Section of Experimental Radiology, Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany.,Institute for Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, University of Tuebingen, Tuebingen, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Mareen S Kraus
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany
| | - Marc Fischer
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany.,Section of Experimental Radiology, Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany
| | - Frank Roemer
- Department of Radiology, University of Erlangen-Nuremberg, Erlangen, Germany.,Department of Radiology, Boston University School of Medicine, Boston, MA, USA
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany
| | - Christa Meisinger
- Chair of Epidemiology, Ludwig-Maximilians-University München, UNIKA-T Augsburg, Augsburg, Germany.,Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany
| | - Annette Peters
- Department of Epidemiology, Ludwig-Maximilians-University München, Munich, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Centre for Cardiovascular Research (DZHK e.V.), Munich, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Corinna Storz
- Department of Neuroradiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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12
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von Krüchten R, Rospleszcz S, Lorbeer R, Hasic D, Peters A, Bamberg F, Schulz H, Karrasch S, Schlett CL. Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment. Tomography 2022; 8:560-569. [PMID: 35314623 PMCID: PMC8938839 DOI: 10.3390/tomography8020046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/22/2022] [Accepted: 02/24/2022] [Indexed: 01/10/2023] Open
Abstract
Background: Specification of adipose tissues by whole-body magnetic resonance imaging (MRI) was performed and related to pulmonary function parameters in a population-based cohort. Methods: 203 study participants underwent whole-body MRI and pulmonary function tests as part of the KORA (Cooperative Health Research in the Augsburg Region) MRI study. Both visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were derived from the T1-Dixon sequence, and hepatic adipose tissue from the proton density fat fraction (PDFFhepatic). Associations between adipose tissue parameters and spirometric indices such as forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and Tiffeneau-index (FEV1/FVC) were examined using multivariate linear regression analysis excluding cofounding effects of other clinical parameters. Results: VAT (β = −0.13, p = 0.03) and SAT (β = −0.26, p < 0.001), but not PDFFhepatic were inversely associated with FEV1, while VAT (β = −0.27, p < 0.001), SAT (β = −0.41, p < 0.001), and PDFFhepatic (β = −0.17, p = 0.002) were inversely associated with FVC. PDFFhepatic was directly associated with the Tiffeneau index (β = 2.46, p < 0.001). Conclusions: In the adjusted linear regression model, VAT was inversely associated with all measured spirometric parameters, while PDFFhepatic revealed the strongest association with the Tiffeneau index. Non-invasive adipose tissue quantification measurements might serve as novel biomarkers for respiratory impairment.
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Affiliation(s)
- Ricarda von Krüchten
- Department of Diagnostic and Interventional Radiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (R.v.K.); (D.H.); (F.B.)
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; (S.R.); (A.P.); (H.S.)
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-University, 81377 Munich, Germany;
| | - Roberto Lorbeer
- Department of Radiology, Ludwig-Maximilians-University Hospital, 80336 Munich, Germany;
| | - Dunja Hasic
- Department of Diagnostic and Interventional Radiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (R.v.K.); (D.H.); (F.B.)
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; (S.R.); (A.P.); (H.S.)
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-University, 81377 Munich, Germany;
- German Center for Diabetes Research, München-Neuherberg, 85764 Neuherberg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (R.v.K.); (D.H.); (F.B.)
| | - Holger Schulz
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; (S.R.); (A.P.); (H.S.)
| | - Stefan Karrasch
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-University, 81377 Munich, Germany;
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital of Munich, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- Comprehensive Pneumology Center Munich, Member of the German Center for Lung Research, Munich-Neuherberg, 85764 Neuherberg, Germany
| | - Christopher L. Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (R.v.K.); (D.H.); (F.B.)
- Correspondence: ; Tel.: +49-761-270-38190
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13
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Distribution and Associated Factors of Hepatic Iron-A Population-Based Imaging Study. Metabolites 2021; 11:metabo11120871. [PMID: 34940629 PMCID: PMC8705957 DOI: 10.3390/metabo11120871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/09/2021] [Accepted: 12/11/2021] [Indexed: 11/17/2022] Open
Abstract
Hepatic iron overload can cause severe organ damage; therefore, an early diagnosis and the identification of potential risk factors is crucial. We aimed to investigate the sex-specific distribution of hepatic iron content (HIC) in a population-based cohort and identify relevant associated factors from a panel of markers. We analyzed N = 353 participants from a cross-sectional sample (KORA FF4) who underwent whole-body magnetic resonance imaging. HIC was assessed by single-voxel spectroscopy with a high-speed T2-corrected multi-echo technique. A large panel of markers, including anthropometric, genetic, and laboratory values, as well as behavioral risk factors were assessed. Relevant factors associated with HIC were identified by variable selection based on LASSO regression with bootstrap resampling. HIC in the study sample (mean age at examination: 56.0 years, 58.4% men) was significantly lower in women (mean ± SD: 39.2 ± 4.1 s-1) than in men (41.8 ± 4.7 s-1, p < 0.001). Relevant factors associated with HIC were HbA1c as well as prediabetes for men and visceral adipose tissue as well as age for women. Hepatic fat, alcohol consumption, and genetic risk score for iron levels were associated with HIC in both sexes. In conclusion, there are sex-specific associations of HIC with markers of body composition, glucose metabolism, and alcohol consumption.
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Wang D, Fang R, Han H, Zhang J, Chen K, Fu X, He Q, Yang Y. Association between visceral adiposity index and risk of prediabetes: A meta-analysis of observational studies. J Diabetes Investig 2021; 13:543-551. [PMID: 34592063 PMCID: PMC8902389 DOI: 10.1111/jdi.13685] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 08/17/2021] [Accepted: 09/18/2021] [Indexed: 12/12/2022] Open
Abstract
Background and Objective Epidemiological studies suggested that the association between the visceral adiposity index (VAI) and the risk of prediabetes is inconsistent. Whether VAI is a useful predictor of prediabetes remains unclear. Up until April 2021, there had been no systematic review on this topic. In this meta‐analysis, the available observational epidemiological evidence was synthesized to identify the association between VAI and prediabetes risk. Methods PubMed, EMBASE, and Cochrane databases in any language were searched systematically from the earliest available online indexing year to April 2021 for relevant observational studies published on the association between VAI and the risk of prediabetes. A random effects model was used to combine quantitatively the odds ratios (ORs) and 95% confidence intervals (CIs). Results Ten relevant studies (2 cohort study, 2 case‐control studies, and 6 cross‐sectional studies) involving 112,603 participants were identified. Compared with the highest VAI, the lowest level of VAI was associated with an increased risk of prediabetes. The pooled OR of VAI for prediabetes was 1.68 (95% CI: 1.44–1.96), with significant heterogeneity across the included studies (P = 0.000, I2 = 91.4%). Exclusion of any single study did not materially alter the combined risk estimate. Conclusions Integrated epidemiological evidence supports the hypothesis that VAI is a lipid combined anthropometric index and may be a risk factor for prediabetes. VAI may be related to a high risk of prediabetes. However, it should be noted that the included studies have a publication bias and there was significant heterogeneity between our pooled estimate.
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Affiliation(s)
- Dan Wang
- Hangzhou Normal University, Hangzhou, China
| | - Rui Fang
- Hunan University of Chinese Medicine, Changsha, China
| | | | - Jidong Zhang
- Hunan University of Chinese Medicine, Changsha, China
| | - Kaifei Chen
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiaoqing Fu
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Qinghu He
- Hunan University of Medicine, Huaihua, China
| | - Yong Yang
- Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China
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15
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Fu W, Wang C, Zou L, Jiang H, Miller M, Gan Y, Cao S, Xu H, Mao J, Yan S, Yue W, Yan F, Tian Q, Lu Z. Association of adiposity with diabetes: A national research among Chinese adults. Diabetes Metab Res Rev 2021; 37:e3380. [PMID: 32596997 DOI: 10.1002/dmrr.3380] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 06/19/2020] [Accepted: 06/22/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Adiposity is an established risk factor for diabetes. The different measurements of adiposity for predicting diabetes have been compared in recent studies in Western countries. However, similar researches among Chinese adults are limited. METHODS Data were collected from a national survey conducted during September 2014 and May 2015 Among Chinese adults aged 40 years and older across 30 China's provinces. Multilevel model analysis was performed to examine the impacts of different obesity indices [body mass index (BMI), waist circumference (WC), lipid accumulation product index (LAP), visceral adiposity index (VAI), and body adiposity index (BAI)] on the risk of diabetes. RESULTS A total of 162 880 participants were included in this study. Of them, 54.47% were female. With an increase in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes significantly grew (P < 0.001). The multilevel model analysis showed that WC has the strongest impact on diabetes prevalence, while BAI was the weakest. For one SD increment in BMI, WC, LAP, VAI, and BAI, the prevalence of diabetes increased by 27.0% (Odds Ratio (OR) = 1.270, 95% Confidence interval (CI) = 1.251-1.289), 37.4% (OR = 1.374, 95% CI = 1.346-1.401), 28.1% (OR = 1.281, 95% CI = 1.266-1.297), 22.0% (OR = 1.220, 95% CI = 1.204-1.236), and 17.4% (OR = 1.174, 95% CI = 1.151-1.192), respectively. CONCLUSION Obesity indicators of BMI, WC, LAP, VAI, and BAI have significant positive relationships with the risk of diabetes. WC has the strongest impact on diabetes, while BAI has the weakest.
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Affiliation(s)
- Wenning Fu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao Wang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Zou
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Heng Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
- Centre for Health Equity, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Mia Miller
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Yong Gan
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiyi Cao
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongbin Xu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Mao
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Wei Yue
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Feng Yan
- Department of Neurosurgery, Xuanwu Hospital, Capital medical University, Beijing, China
| | - Qingfeng Tian
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zuxun Lu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Ibrahim KG, Mukonowenzou NC, Usman D, Adeshina KA, Erlwanger KH. The potential of Artemisia species for use as broad-spectrum agents in the management of metabolic syndrome: a review. Arch Physiol Biochem 2021; 129:752-770. [PMID: 33569991 DOI: 10.1080/13813455.2021.1871761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Although the prevalence of metabolic syndrome (MetS), a cluster of cardiometabolic risk factors that predispose to the development of type 2 diabetes mellitus and cardiovascular diseases, is increasing globally, there is no broad-spectrum agent for its holistic treatment. Natural plant-derived products with a wide spectrum of biological activities are currently being explored as alternatives in the management of diseases. Artemisia species are a heterozygous group of plants of the Compositae family that possess several health benefits. Here we highlight their antidiabetic, anti-obesity, anti-hyperlipidaemic, hepatoprotective and cardioprotective properties among others. These activities have been linked to the presence of phytochemicals that act on several molecular targets to exert their effects and the species of Artemisia are considered to be relatively safe. Artemisia species offer significant anti-MetS activity and thus are strong therapeutic candidates for the effective management of MetS.
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Affiliation(s)
- Kasimu Ghandi Ibrahim
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Nyasha Charity Mukonowenzou
- Department of Anatomy and Physiology, Faculty of Medicine, National University of Science and Technology, Bulawayo, Zimbabwe
| | - Dawoud Usman
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Kehinde Ahmad Adeshina
- Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria
- Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto, Nigeria
| | - Kennedy Honey Erlwanger
- School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Lind L, Strand R, Kullberg J, Ahlström H. Cardiovascular-related proteins and the abdominal visceral to subcutaneous adipose tissue ratio. Nutr Metab Cardiovasc Dis 2021; 31:532-539. [PMID: 33153859 DOI: 10.1016/j.numecd.2020.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 09/07/2020] [Accepted: 09/08/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND AIMS An increased amount of visceral adipose tissues has been related to atherosclerosis and future cardiovascular events. The present study aims to investigate how the abdominal fat distribution links to plasma levels of cardiovascular-related proteins. METHOD AND RESULTS In the Prospective investigation of Obesity, Energy and Metabolism (POEM) study (n = 326, all aged 50 years), abdominal visceral (VAT) and subcutaneous (SAT) adipose tissue volumes were quantified by MRI. Eighty-six cardiovascular-related proteins were measured by the proximity extension assay (PEA). Similar investigations were carried out in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study (n = 400, all aged 75 years). In the discovery dataset (POEM), 10 proteins were related to the VAT/SAT-ratio using false discovery rate <.05. Of those, Cathepsin D (CTSD), Interleukin-1 receptor antagonist protein (IL-1RA) and Growth hormone (GH) (inversely) were related to the VAT/SAT-ratio in the validation in PIVUS following adjustment for sex, BMI, smoking, education level and exercise habits (p < 0.05). In a secondary analysis, a meta-analysis of the two samples suggested that 15 proteins could be linked to the VAT/SAT-ratio following adjustment as above and Bonferroni-correction of the p-value. CONCLUSION Three cardiovascular-related proteins, cathepsin D, IL-1RA and growth hormone, were being associated with the distribution of abdominal adipose tissue using a discovery/validation approach. A meta-analysis of the two samples suggested that also a number of other cardiovascular-related proteins could be associated with an unfavorable abdominal fat distribution.
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Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Robin Strand
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Joel Kullberg
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Håkan Ahlström
- Section of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Antaros Medical AB, BioVenture Hub, Mölndal, Sweden.
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Wu ZE, Fraser K, Kruger MC, Sequeira IR, Yip W, Lu LW, Plank LD, Murphy R, Cooper GJS, Martin JC, Hollingsworth KG, Poppitt SD. Untargeted metabolomics reveals plasma metabolites predictive of ectopic fat in pancreas and liver as assessed by magnetic resonance imaging: the TOFI_Asia study. Int J Obes (Lond) 2021; 45:1844-1854. [PMID: 33994541 PMCID: PMC8310794 DOI: 10.1038/s41366-021-00854-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 04/10/2021] [Accepted: 04/30/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND Excess visceral obesity and ectopic organ fat is associated with increased risk of cardiometabolic disease. However, circulating markers for early detection of ectopic fat, particularly pancreas and liver, are lacking. METHODS Lipid storage in pancreas, liver, abdominal subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from 68 healthy or pre-diabetic Caucasian and Chinese women enroled in the TOFI_Asia study was assessed by magnetic resonance imaging/spectroscopy (MRI/S). Plasma metabolites were measured with untargeted liquid chromatography-mass spectroscopy (LC-MS). Multivariate partial least squares (PLS) regression identified metabolites predictive of VAT/SAT and ectopic fat; univariate linear regression adjusting for potential covariates identified individual metabolites associated with VAT/SAT and ectopic fat; linear regression adjusted for ethnicity identified clinical and anthropometric correlates for each fat depot. RESULTS PLS identified 56, 64 and 31 metabolites which jointly predicted pancreatic fat (R2Y = 0.81, Q2 = 0.69), liver fat (RY2 = 0.8, Q2 = 0.66) and VAT/SAT ((R2Y = 0.7, Q2 = 0.62)) respectively. Among the PLS-identified metabolites, none of them remained significantly associated with pancreatic fat after adjusting for all covariates. Dihydrosphingomyelin (dhSM(d36:0)), 3 phosphatidylethanolamines, 5 diacylglycerols (DG) and 40 triacylglycerols (TG) were associated with liver fat independent of covariates. Three DGs and 12 TGs were associated with VAT/SAT independent of covariates. Notably, comparison with clinical correlates showed better predictivity of ectopic fat by these PLS-identified plasma metabolite markers. CONCLUSIONS Untargeted metabolomics identified candidate markers of visceral and ectopic fat that improved fat level prediction over clinical markers. Several plasma metabolites were associated with level of liver fat and VAT/SAT ratio independent of age, total and visceral adiposity, whereas pancreatic fat deposition was only associated with increased sulfolithocholic acid independent of adiposity-related parameters, but not age.
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Affiliation(s)
- Zhanxuan E. Wu
- grid.417738.e0000 0001 2110 5328Food Nutrition & Health, Food and Bio-based Products, AgResearch Limited, Palmerston North, New Zealand ,grid.148374.d0000 0001 0696 9806School of Health Sciences, Massey University, Palmerston North, New Zealand ,High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Karl Fraser
- grid.417738.e0000 0001 2110 5328Food Nutrition & Health, Food and Bio-based Products, AgResearch Limited, Palmerston North, New Zealand ,High-Value Nutrition National Science Challenge, Auckland, New Zealand ,grid.148374.d0000 0001 0696 9806Riddet Institute, Massey University, Palmerston North, New Zealand
| | - Marlena C. Kruger
- grid.148374.d0000 0001 0696 9806School of Health Sciences, Massey University, Palmerston North, New Zealand ,grid.148374.d0000 0001 0696 9806Riddet Institute, Massey University, Palmerston North, New Zealand
| | - Ivana R. Sequeira
- High-Value Nutrition National Science Challenge, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Wilson Yip
- High-Value Nutrition National Science Challenge, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Louise W. Lu
- High-Value Nutrition National Science Challenge, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Lindsay D. Plank
- grid.9654.e0000 0004 0372 3343Department of Surgery, University of Auckland, Auckland, New Zealand
| | - Rinki Murphy
- High-Value Nutrition National Science Challenge, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Garth J. S. Cooper
- grid.9654.e0000 0004 0372 3343Department of Medicine, University of Auckland, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343School of Biological Sciences University of Auckland, Auckland, New Zealand ,grid.5379.80000000121662407Centre for Advanced Discovery and Experimental Therapeutics, School of Medical Sciences, University of Manchester, Manchester, UK
| | - Jean-Charles Martin
- grid.5399.60000 0001 2176 4817Aix-Marseille University, INSERM, INRAe, C2VN, BioMeT, Marseille, France
| | - Kieren G. Hollingsworth
- grid.1006.70000 0001 0462 7212Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Sally D. Poppitt
- High-Value Nutrition National Science Challenge, Auckland, New Zealand ,grid.148374.d0000 0001 0696 9806Riddet Institute, Massey University, Palmerston North, New Zealand ,grid.9654.e0000 0004 0372 3343Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343Department of Medicine, University of Auckland, Auckland, New Zealand ,grid.9654.e0000 0004 0372 3343School of Biological Sciences University of Auckland, Auckland, New Zealand
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Storz C, Rospleszcz S, Askani E, Rothenbacher T, Linseisen J, Messmann H, De Cecco CN, Machann J, Kiefer LS, Elser S, Rathmann W, Peters A, Schlett CL, Bamberg F. Magnetic Resonance Imaging of Diverticular Disease and its Association with Adipose Tissue Compartments and Constitutional Risk Factors in Subjects from a Western General Population. ROFO-FORTSCHR RONTG 2020; 193:33-41. [PMID: 32785905 DOI: 10.1055/a-1212-5669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
PURPOSE To determine the association of asymptomatic diverticular disease as assessed by magnetic resonance imaging (MRI) with adipose tissue compartments, hepatic steatosis and constitutional risk factors within a cohort drawn from a Western general population. MATERIALS AND METHODS Asymptomatic subjects enrolled in a prospective case-control study underwent a 3 Tesla MRI scan, including an isotropic VIBE-Dixon sequence of the entire trunk. The presence and extent of diverticular disease were categorized according to the number of diverticula in each colonic segment in a blinded fashion. The amount of visceral, subcutaneous, and total adipose tissue (VAT, SAT, and TAT) was quantified by MRI. Additionally, the degree of hepatic steatosis, indicated as hepatic proton density fat fraction (hepatic PDFF) was determined using a multi-echo T1w sequence. Constitutional cardiometabolic risk factors were obtained and univariate and multivariate associations were calculated. RESULTS A total of 371 subjects were included in the analysis (58.2 % male, 56.2 ± 9.2 years). Based on MRI, 154 participants (41.5 %) had diverticular disease with 62 cases (17 %) being advanced diverticular disease. Subjects with advanced diverticular disease had a significantly higher body mass index (BMI) (BMI: 29.9 ± 5.1 vs. 27.5 ± 4.6, p < 0.001; respectively). Furthermore, all adipose tissue compartments were increased in subjects with advanced diverticular disease (e. g. VAT: 6.0 ± 2.8 vs. 4.2 ± 2.6 and SAT: 9.2 ± 3.6 vs. 7.8 ± 3.6, all p < 0.001, respectively). Similarly, subjects with advanced diverticular disease had significantly higher hepatic PDFF (4.9 [2.7, 11.4] vs. 6.1 [5.5, 14.6], p = 0.002). CONCLUSION Advanced diverticular disease is associated with an increased volume of adipose tissue compartments and BMI, which may suggest a metabolic role in disease development. KEY POINTS · Diverticular disease is associated with constitutional risk factors such as BMI.. · Excess of adipose tissue compartments and hepatic steatosis are associated with the prevalence of diverticular disease.. · Our results suggest a shared pathological pathway of cardiometabolic alterations and the prevalence of diverticular disease.. · MRI is feasible for the assessment of adipose tissue compartments, hepatic steatosis, and diverticular disease and allows identification of patients who are at risk but in an asymptomatic disease state.. CITATION FORMAT · Storz C, Rospleszcz S, Askani E et al. Magnetic Resonance Imaging of Diverticular Disease and its Association with Adipose Tissue Compartments and Constitutional Risk Factors in Subjects from a Western General Population. Fortschr Röntgenstr 2021; 193: 33 - 41.
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Affiliation(s)
- Corinna Storz
- Department of Neuroradiology, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Esther Askani
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Theresa Rothenbacher
- Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, Ludwig-Maximilians University of Munich, UNIKA-T Augsburg, Augsburg, Germany.,IRG Clinical Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Neuherberg, Germany
| | - Helmut Messmann
- Department of Internal Medicine III, Klinikum Augsburg, Augsburg, Germany
| | - Carlo N De Cecco
- Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA
| | - Jürgen Machann
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.,Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tuebingen, Germany.,German Center for Diabetes Research (DZD), Tuebingen, Germany
| | - Lena Sophie Kiefer
- Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - Stefanie Elser
- Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - Wolfgang Rathmann
- Department of Biometry and Epidemiology, German Diabetes Center, Duesseldorf, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Cardiovascular Disease Research (DZHK e. V.), Munich, Germany.,Institute for Cardiovascular Prevention, Ludwig-Maximilians-University-Hospital, Munich, Germany.,Chair of Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Freiburg, Germany
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Vertebral Bone Marrow Fat Is independently Associated to VAT but Not to SAT: KORA FF4-Whole-Body MR Imaging in a Population-Based Cohort. Nutrients 2020; 12:nu12051527. [PMID: 32456276 PMCID: PMC7284541 DOI: 10.3390/nu12051527] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/13/2020] [Accepted: 05/21/2020] [Indexed: 11/18/2022] Open
Abstract
The objective of the current study was to assess the relationship of bone marrow adipose tissue (BMAT) content to abdominal fat depots, including visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT), as well as cardiovascular risk factors (CVRF) beyond physical activity in a population-based cohort study undergoing whole-body magnetic resonance (MR) imaging. Subjects of the Cooperative Health Research in the Augsburg Region (KORA) FF4 study without known cardiovascular disease underwent fat fraction quantification in vertebrae (BMATL1/L2) via a 2-point T1-weighted volumetric interpolated breath-hold examination (VIBE) Dixon sequence. The same MR sequence was applied to quantify VAT and SAT volume. Subjects’ characteristics, including physical activity, were determined through standardized exams and self-assessment questionnaires. Univariate and multivariate linear regression were applied. In the cohort of 378 subjects (56 ± 9.1years; 42.1% female), BMATL1/L2 was 54.3 ± 10.1%, VAT was 4.54 ± 2.71 L, and SAT was 8.10 ± 3.68 L. VAT differed significantly across BMATL1/L2 tertiles (3.60 ± 2.76 vs. 4.92 ± 2.66 vs. 5.11 ± 2.48; p < 0.001), there was no significant differences for SAT (p = 0.39). In the fully adjusted model, VAT remained positively associated with BMATL1/L2 (β = 0.53, p = 0.03). Furthermore, BMATL1/L2 was associated with age (β = 5.40 per 10-years, p < 0.001), hemoglobin A1c (HbA1c; β = 1.55 per 1%, p = 0.04), lipids (β = 0.20 per 10 mg/dL triglycerides; β = 0.40 per 10 mg/dL low-density lipoprotein (LDL); β =−3.21 lipid-lowering medication; all p < 0.05), and less physical activity (β = 3.7 “no or nearly no exercise” as compared to “≥2 h per week, regularly”, p = 0.003); gender was not significantly different (p = 0.57). In the population-based cohort, VAT but not SAT were associated with higher BMATL1/L2 independently of physical activity and other cardiovascular risk factors. Further, BMATL1/L2 increased with older age, less physical activity, higher HbA1c, and increased lipids but decreased with lipid-lowering medication.
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21
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Association of serum uric acid with visceral, subcutaneous and hepatic fat quantified by magnetic resonance imaging. Sci Rep 2020; 10:442. [PMID: 31949261 PMCID: PMC6965096 DOI: 10.1038/s41598-020-57459-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/28/2019] [Indexed: 12/20/2022] Open
Abstract
Elevated serum uric acid (SUA) is associated with a variety of medical conditions, such as hypertension, diabetes and obesity. Analyses investigating uric acid and obesity were primarily conducted using anthropometric measures like BMI and waist circumference. However, different adipose tissue depots might be differentially affected in uric acid metabolism. We analyzed the relation of SUA with visceral, subcutaneous and hepatic fat as quantified by Magnetic Resonance Imaging in N = 371 individuals from a cross-sectional sample of a population-based cohort. Associations of SUA and fat depots were calculated by regressions adjusted for potential confounders. We found that SUA was correlated with all fat measures (e.g. Pearson’s r between SUA and hepatic fat: 0.50, 95%-CI: 0.42, 0.57). Associations with visceral and hepatic fat, but not with subcutaneous fat, remained evident after adjustment for anthropometric measures (e.g. visceral fat: β = 0.51 l, 95%-CI: 0.30 l, 0.72 l). In conclusion, these results show how different adipose tissue compartments are affected by SUA to varying degrees, thus emphasizing the different physiological roles of these adipose tissues in uric acid metabolism.
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22
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Association of longitudinal risk profile trajectory clusters with adipose tissue depots measured by magnetic resonance imaging. Sci Rep 2019; 9:16972. [PMID: 31740739 PMCID: PMC6861315 DOI: 10.1038/s41598-019-53546-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 10/31/2019] [Indexed: 12/20/2022] Open
Abstract
The objective of the study was to identify associations of longitudinal trajectories of traditional cardiometabolic risk factors with abdominal and ectopic adipose tissue depots measured by magnetic resonance imaging (MRI). We measured total abdominal, visceral, and subcutaneous adipose tissue in liter and intrahepatic, intrapancreatic and renal sinus fat as fat fractions by MRI in 325 individuals free of cardiovascular disease at Exam 3 of a population-based cohort. We related these MRI measurements at Exam 3 to longitudinal risk profile trajectory clusters, based on risk factor measurements from Exam 3, Exam 2 (seven years prior to MRI) and Exam 1 (14 years prior to MRI). Based on the levels and longitudinal trajectories of several risk factors (blood pressure, lipid profile, anthropometric measurements, HbA1c), we identified three different trajectory clusters. These clusters displayed a graded association with all adipose tissue traits after adjustment for potential confounders (e.g. visceral adipose tissue: βClusterII = 1.30 l, 95%-CI:[0.84 l;1.75 l], βClusterIII = 3.32 l[2.74 l;3.90 l]; intrahepatic: EstimateClusterII = 1.54[1.27,1.86], EstimateClusterIII = 2.48[1.93,3.16]. Associations remained statistically significant after additional adjustment for the risk factor levels at Exam 1 or Exam 3, respectively. Trajectory clusters provided additional information in explaining variation in the different fat compartments beyond risk factor profiles obtained at individual exams. In conclusion, sustained high risk factor levels and unfavorable trajectories are associated with high levels of adipose tissue; however, the association with cardiometabolic risk factors varies substantially between different ectopic adipose tissues. Trajectory clusters, covering longitudinal risk profiles, provide additional information beyond single-point risk profiles. This emphasizes the need to incorporate longitudinal information in cardiometabolic risk estimation.
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23
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Wang M, Luo Y, Cai H, Xu L, Huang M, Li C, Dong Z, Li ZP, Feng ST. Prediction of type 2 diabetes mellitus using noninvasive MRI quantitation of visceral abdominal adiposity tissue volume. Quant Imaging Med Surg 2019; 9:1076-1086. [PMID: 31367561 DOI: 10.21037/qims.2019.06.01] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background The correlation between visceral adipose tissue volume (VATV), hepatic proton-density fat fraction (PDFF), and pancreatic PDFF has been previously studied to predict the presence of type 2 diabetes mellitus (T2DM). This study investigated VATV quantitation in patients with T2DM, prediabetes, and normal glucose tolerance (NGT) using MRI to assess the roles of VATV, hepatic, and pancreatic PDFF in predicting the presence of T2DM. Methods Forty-eight patients with a new clinical diagnosis of T2DM (n=15), prediabetes (n=17), or NGT (n=16) were included and underwent abdominal magnetic resonance imaging (MRI) scanning with the iterative decomposition of water and fat with echo asymmetry and least square estimation image quantification (IDEAL-IQ) sequencing. VATV was obtained at the level of the 2nd and 3rd lumbar vertebral bodies (VATV L2 and VATV L3) where the sum of VATV L2 and VATV L3 (total VATV) were computed, respectively. Also, pancreatic and hepatic fat content was quantified by measuring the PDFF. The receiver operating characteristic (ROC) curve and binary logistics regression model analysis were employed to evaluate their ability to predict the presence of T2DM. Results The VATV L2, VATV L3, and total VATV values of the T2DM group were significantly higher than the prediabetes and NGT groups (P<0.05). There was no statistically significant difference between the values of VATV L2, VATV L3, and total VATV between the prediabetes and NGT groups (P>0.05). The ROC curve showed the areas under the curve for VATV L2, VATV L3, total VATV, hepatic PDFF, and pancreatic PDFF were 0.76, 0.80, 0.80, 0.79, and 0.75, respectively, in predicting the presence of T2DM (P<0.01). The ROC curves of VATV L2, VATV L3, total VATV, hepatic PDFF, and pancreatic PDFF failed to predict the presence of prediabetes and NGT (P>0.05). The binary logistics regression model analysis revealed that only VATV L3 was independently associated with the incidence of T2DM (P=0.01 and OR =1.01). The sensitivity, specificity, and total accuracy were 80.00%, 88.20%, and 84.40%, respectively. Conclusions Compared with hepatic PDFF, pancreatic PDFF, VAVT L2, and total VATV, VAVT L3 was the better predictor of T2DM.
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Affiliation(s)
- Meng Wang
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yanji Luo
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Huasong Cai
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Ling Xu
- Faculty of Medicine and Dentistry, University of Western Australia, Perth, Australia
| | - Mengqi Huang
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Chang Li
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zhi Dong
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zi-Ping Li
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Shi-Ting Feng
- Department of Radiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
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Isocaloric Substitution of Dietary Carbohydrate Intake with Fat Intake and MRI-Determined Total Volumes of Visceral, Subcutaneous and Hepatic Fat Content in Middle-Aged Adults. Nutrients 2019; 11:nu11051151. [PMID: 31126078 PMCID: PMC6566371 DOI: 10.3390/nu11051151] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 05/17/2019] [Accepted: 05/20/2019] [Indexed: 12/26/2022] Open
Abstract
The present study investigated the association of carbohydrate intake and isocaloric substitution with different types of fat with visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and hepatic fat content as determined by magnetic resonance imaging (MRI). Data from 283 participants (mean age 56.1 ± 9.0 years) from the MRI sub study of the KORA FF4 study were included. VAT, SAT and total body fat were quantified by a volume-interpolated VIBE-T1w-Dixon MR sequence. Hepatic fat content was determined as the proton density fat-fraction (PDFF) derived from multiecho-T1w MR sequence. Dietary intake was estimated using information provided by two different instruments, that is, repeated 24-h food lists and a food frequency questionnaire. Replacing total carbohydrates with an isoenergetic amount of total fat was significantly positively associated with VAT and hepatic fat, while there was no significant association with SAT. The multivariable adjusted β-coefficient for replacing 5% of total energy (5E%) carbohydrates with total fat was 0.42 L (95% CI: 0.04, 0.79) for VAT. A substitution in total fat intake by 5E% was associated with a significant increase in liver fat content by 23% (p-value 0.004). If reproduced in prospective studies, such findings would strongly argue for limiting dietary fat intake.
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Rado SD, Lorbeer R, Gatidis S, Machann J, Storz C, Nikolaou K, Rathmann W, Hoffmann U, Peters A, Bamberg F, Schlett CL. MRI-based assessment and characterization of epicardial and paracardial fat depots in the context of impaired glucose metabolism and subclinical left-ventricular alterations. Br J Radiol 2019; 92:20180562. [PMID: 30633543 DOI: 10.1259/bjr.20180562] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVE: To analyze the associations between epicardial and paracardial fat and impaired glucose tolerance as well as left ventricular (LV) alterations. METHODS: 400 subjects underwent 3 T MRI and fat depots were delineated in the four chamber-view of the steady-state free precession cine sequence (repetition time: 29.97 ms; echo time 1.46 ms). LV parameters were also derived from MRI. Oral glucose tolerance tests were performed. RESULTS: Epi- and paracardial fat was derived in 372 (93%) subjects (220 healthy controls, 100 persons with prediabetes, 52 with diabetes). Epi- and paracardial fat increased from normal glucose tolerance (NGT) to prediabetes and diabetes (7.7 vs 9.2 vs 10.3 cm2 and 14.3 vs 20.3 vs 27.4 cm2, respectively; all p < 0.001). However, the association between impaired glucose metabolism and cardiac fat attenuated after adjustment, mainly confounded by visceral adipose tissue (VAT). 93 subjects (27%) had LV impairment, defined as late gadolinium enhancement, ejection fraction < 55% or LV concentricity index > 1.3 g ml-1 . Mean epicardial fat was higher in subjects with LV impairment (11.0 vs 8.1 cm2, p < 0.001). This association remained independent after adjustment for traditional risk factors and VAT [β: 1.13 (0.22; 2.03), p = 0.02]. CONCLUSION: Although epicardial and paracardial fat are increased in prediabetes and diabetes, the association is mostly confounded by VAT. Epicardial fat is independently associated with subclinical LV impairment in subjects without known cardiovascular disease. ADVANCES IN KNOWLEDGE: This study contributes to the picture of epicardial fat as a pathogenic local fat depot that is independently associated with MR-derived markers of left ventricular alterations.
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Affiliation(s)
- Sophia D Rado
- 1 Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen , Tuebingen , Germany
| | - Roberto Lorbeer
- 2 Department of Radiology, Ludwig-Maximilian-University Hospital , Munich , Germany
| | - Sergios Gatidis
- 1 Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen , Tuebingen , Germany
| | - Jürgen Machann
- 3 Department of Diagnostic and Interventional Radiology, Section on Experimental Radiology, University Hospital Tuebingen , Tuebingen , Germany.,4 Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tuebingen , Tuebingen , Germany.,5 German Center for Diabetes Research (DZD) , Neuherberg , Germany
| | - Corinna Storz
- 1 Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen , Tuebingen , Germany
| | - Konstantin Nikolaou
- 1 Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen , Tuebingen , Germany
| | - Wolfgang Rathmann
- 5 German Center for Diabetes Research (DZD) , Neuherberg , Germany.,6 Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf , Düsseldorf , Germany
| | - Udo Hoffmann
- 7 Department of Radiology, Massachusetts General Hospital, Harvard Medical School , Boston, MA , USA
| | - Annette Peters
- 8 German Center for Cardiovascular Disease Research (DZHK e.V.) , Munich , Germany.,9 Institute for Cardiovascular Prevention, Ludwig-Maximilian-University-Hospital , Munich , Germany.,10 Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health , Neuherberg , Germany
| | - Fabian Bamberg
- 1 Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen , Tuebingen , Germany.,8 German Center for Cardiovascular Disease Research (DZHK e.V.) , Munich , Germany.,11 Department of Radiology, University Hospital Freiburg , Freiburg , Germany
| | - Christopher L Schlett
- 11 Department of Radiology, University Hospital Freiburg , Freiburg , Germany.,12 Department of Radiology, Diagnostic and Interventional Radiology, University of Heidelberg , Heidelberg , Germany
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Affiliation(s)
- Stuart A Taylor
- 1 UCL Centre for Medical Imaging, Division of Medicine, University College London , London , UK
| | - Laura R Carucci
- 2 Department of Radiology, VCU Health System , Richmond, VA , United States
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Gonzalez-Chávez A, Chávez-Fernández JA, Elizondo-Argueta S, González-Tapia A, León-Pedroza JI, Ochoa C. Metabolic Syndrome and Cardiovascular Disease: A Health Challenge. Arch Med Res 2018; 49:516-521. [DOI: 10.1016/j.arcmed.2018.10.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 09/19/2018] [Accepted: 10/12/2018] [Indexed: 02/08/2023]
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