Quantification of lumbar vertebral fat deposition: Correlation with menopausal status, non-alcoholic fatty liver disease and subcutaneous adipose tissue

Zheng, Chushan; Wen, Huiquan; Lin, Wu-Sheng; Luo, Xiao-Wen; Shen, Li-Shan; Zhang, Xiang; Zou, Feng-Yun; Li, Qingling; Hu, Huijun; Guo, Ruomi

doi:10.3389/fendo.2022.1099919

Cited by 3 publications

(1 citation statement)

References 40 publications

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“…Magnetic resonance imaging (MRI) enables fat fraction (FF) mapping through chemical shift encoding, and the FF is commonly defined as the percentage of proton density of fat molecules relative to the combined proton density of water and fat molecules ( 19 , 20 ). Compared with traditional imaging techniques such as dual-energy x-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA), FF mapping by MRI can provide fast and accurate evaluation of the fat composition of the whole body, and it has been widely applied in the assessment of abdominal muscle (AM) ( 21 – 24 ), BMAT ( 23 – 25 ), and ectopic fat deposition ( 25 , 26 ).…”

Section: Introductionmentioning

confidence: 99%

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

An,

Zhang,

Wang

et al. 2024

Front. Public Health

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PurposeTo explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.MethodsA total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc.ResultsVAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex (P < 0.05). However, there was no differences in SAT area, SAT FF, BMAT FF, AM area and AM FF between the two groups (P > 0.05). VAT area and PFF were independent risk factors of T2DM (all P < 0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) for VAT area and PFF in differentiating between T2DM and non-T2DM were 0.685 and 0.787, respectively, and the AUC of PFF was higher than VAT area (P < 0.05). Additionally, in seemingly healthy individuals, the SAT area, VAT area, and AM area were found to be significantly associated with being overweight and/or obese (BMI ≥ 25) (all P < 0.05).ConclusionsIn this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.

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Section: Introductionmentioning

confidence: 99%

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

An,

Zhang,

Wang

et al. 2024

Front. Public Health

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Liver Fat, Bone Marrow Adipose Tissue, and Bone Mineral Density in Children With Overweight

Labayen,

Cadenas-Sánchez,

Idoate

et al. 2023

The Journal of Clinical Endocrinology &Amp; Metabolism

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Purpose Hepatic steatosis is associated with decreased bone mineral density (BMD). Bone marrow fat fraction (BMFF) could play a role on this relationship in children with obesity. The objectives were: (i) to examine the relationship between the lumbar spine (LS) BMFF and BMD, and (ii) to explore the mediating role of LS-BMFF on the relationship between percentage hepatic fat with LS-BMD in preadolescent children with overweight/obesity. Methods Hepatic fat and LS-BMFF (magnetic resonance imaging) and areal LS-BMD (LS-aBMD, dual X-ray absorptiometry) were measured in 106 children (10.6 ± 1.1 years, 53.8% girls) with overweight/obesity. Results LS-BMFF was inversely associated with LS-aBMD (r = -0.313, P = 0.001) and directly related with percentage hepatic fat (r = 0.276, P = 0.005). LS-BMFF was significantly greater in children with than without hepatic steatosis (P = 0.003, Cohen´s d: 0.61, 95%CI -0.21 to 1.0), while no significant difference was seen between children with overweight and those with obesity (P = 0.604; Cohen's d: 0.16, 95% CI -0.21-0.55). Mediating analysis indicated that LS-BMFF is an important mediator (50%) in the association of hepatic fat with lower LS-aBMD (indirect effect: β=-0.076, 95%CI -0.143 to -0.015). Conclusions These findings suggest that hepatic steatosis, rather than overall excess adiposity, is associated with greater bone marrow adipose tissue in preadolescent children with overweight/obesity, which in turn, is related to a lower BMD. Hepatic steatosis could be a potential biomarker of osteoporosis risk, and a therapeutic target for interventions that aim to reduce not only hepatic steatosis, but for those designed to improve bone health in such children.

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Examining the influence of body fat distribution on standing balance and functional performance in overweight female patients with degenerative lumbar disease

Chen,

Kantha

et al. 2024

Front. Bioeng. Biotechnol.

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Introduction: Degenerative lumbar disease (DLD) is a prevalent disorder that predominantly affects the elderly population, especially female. Extensive research has demonstrated that overweight individuals (categorized by body fat distribution) have a higher susceptibility to developing DLD and an increased risk of falling. However, there is limited research available on the standing balance and functional performance of overweight females with DLD.Aims: To determine the impact of body fat distribution on standing balance and functional performance in overweight females with DLD.Methods: This cross-sectional study evaluated thirty females with DLD were categorized into three types of body fat distribution based on body mass index (BMI) and waist-hip ratio, specifically as android-type, gynoid-type, and normal weight groups. In addition, a control group of ten age-matched females with normal weight was recruited. The Visual Analogue Scale, Roland Morris Disability Questionnaire, Cobb angle (Determined using x-ray), and body composition (Determined using the InBody S10), were conducted only on the DLD groups. All participants were assessed standing balance in the anteroposterior and mediolateral directions. The functional assessments included timed-up-and-go and 5-times-sit-to-stand tests.Results: There were 10 people in each group. Android-type (Age = 65.00 ± 6.34 years; BMI = 26.87 ± 2.05 kg/m2), Gynoid-type (Age = 65.60 ± 4.99 years; BMI = 26.60 ± 1.75 kg/m2), Normal weight (Age = 65.70 ± 5.92 years; BMI = 22.35 ± 1.26 kg/m2), and Control (Age = 65.00 ± 5.23 years; BMI = 22.60 ± 1.12 kg/m2). The android-type group had higher body fat, visceral fat, and lower muscle mass (p < 0.05), along with an increased Cobb angle (p < 0.05). They showed greater ellipse area, total excursion, and mean distance in the anteroposterior direction (p < 0.05). During the functional performance assessments, the android-type group had longer durations in both the 5-times-sit-to-stand and timed-up-and-go tasks (p < 0.05).Conclusion: Our study found that android-type overweight individuals showed postural instability, reduced functional performance, and insufficient lower limb muscle strength and mass. These findings might help physical therapists in planning interventions, as they imply that patients with DLD may require specific types of standing balance training and lower extremities muscle-strengthening based on their body fat distribution.Clinical Trial Registration:ClinicalTrials.gov, identifier NCT05375201

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Quantification of lumbar vertebral fat deposition: Correlation with menopausal status, non-alcoholic fatty liver disease and subcutaneous adipose tissue

Cited by 3 publications

References 40 publications

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping

Liver Fat, Bone Marrow Adipose Tissue, and Bone Mineral Density in Children With Overweight

Examining the influence of body fat distribution on standing balance and functional performance in overweight female patients with degenerative lumbar disease

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