Associations between adrenal gland volume and adipose tissue compartments - a whole body MRI study.

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2024-07-09 DOI:10.1186/s12986-024-00823-x

Esther Askani, Susanne Rospleszcz, Roberto Lorbeer, Charlotte Wintergerst, Katharina Müller-Peltzer, Lena S Kiefer, Elias Kellner, Marco Reisert, Wolfgang Rathmann, Annette Peters, Christopher L Schlett, Fabian Bamberg, Corinna Storz

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引用次数: 0

Abstract

Background: Obesity is associated with alterations in the hypothalamic-pituitary-adrenal (HPA) axis. Effects of glucocorticoids on adipose tissues appear to depend on the specific adipose depot, in which they take place. In this study, we aimed to investigate the role of MRI-based adrenal gland volume as an imaging marker in association with different adipose tissue compartments.

Methods: The study cohort derives from the population-based research platform KORA (Cooperative Health Research in the Augsburg Region, Germany) MRI sub-study, a cross-sectional sub-study investigating the interactions between subclinical metabolic changes and cardiovascular disease in a study sample of 400 participants. Originally, eligible subjects underwent a whole-body MRI. MRI-based segmentations were performed manually and semi-automatically for adrenal gland volume, visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), epi- and pericardial fat and renal sinus fat. Hepatic and pancreatic lipid content were measured as pancreatic proton density fraction (PDFF) and MR-spectroscopic hepatic fat fraction (HFF). Multivariable linear regression analyses were performed.

Results: A number of 307 participants (56.2 ± 9.1 years, 60.3% male, 14.3% with type 2 diabetes (T2DM), 30.6% with obesity, 34.2% with hypertension) were included. In multivariable analyses, strong positive associations between adrenal gland volume and VAT, total adipose tissue (TAT) as well as HFF persisted after extensive step-wise adjustment for possible metabolic confounders (VAT: beta = 0.31, 95%-CI [0.71, 0.81], p < 0.001; TAT: beta = 0.14, 95%-CI [0.06, 0.23], p < 0.001; HFF: beta = 1.17, 95%-CI [1.04, 1.31], p = 0.009). In contrast, associations between adrenal gland volume and SAT were attenuated in multivariate analysis after adjusting for BMI. Associations between pancreatic PDFF, epi- and pericardial fat and renal sinus fat were mediated to a great extent by VAT (pancreatic PDFF: 72%, epicardial adipose tissue: 100%, pericardial adipose tissue: 100%, renal sinus fat: 81.5%).

Conclusion: Our results found MRI-based adrenal gland volume as a possible imaging biomarker of unfavorable adipose tissue distribution, irrespective of metabolic risk factors. Thus, adrenal gland volume may serve as a potential MRI-based biomarker of metabolic changes and contributes to an individual characterization of metabolic states and individual risk stratification. Future studies should elucidate in a longitudinal study design, if and how HPA axis activation may trigger unfavorable adipose tissue distribution and whether and to which extent this is involved in the pathogenesis of manifest metabolic syndrome.

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肾上腺体积与脂肪组织分区之间的关联--一项全身核磁共振成像研究。

背景：肥胖与下丘脑-垂体-肾上腺（HPA）轴的改变有关。糖皮质激素对脂肪组织的影响似乎取决于发生作用的特定脂肪库。在这项研究中，我们旨在研究基于核磁共振成像的肾上腺体积作为成像标志物在不同脂肪组织区中的作用：研究队列来自基于人群的研究平台 KORA（德国奥格斯堡地区合作健康研究）磁共振成像子研究，该子研究是一项横断面子研究，在 400 名研究样本中调查亚临床代谢变化与心血管疾病之间的相互作用。最初，符合条件的受试者接受了全身核磁共振成像检查。对肾上腺体积、内脏脂肪组织 (VAT)、皮下脂肪组织 (SAT)、心外脂肪和心包脂肪以及肾窦脂肪进行了手动和半自动磁共振成像分割。肝脏和胰腺脂质含量以胰腺质子密度分数（PDFF）和磁共振波谱肝脂肪分数（HFF）来测量。进行了多变量线性回归分析：共纳入 307 名参与者（56.2 ± 9.1 岁，60.3% 为男性，14.3% 患有 2 型糖尿病（T2DM），30.6% 患有肥胖症，34.2% 患有高血压）。在多变量分析中，在对可能的代谢混杂因素进行广泛的分步调整后，肾上腺体积与脂肪总体积（VAT）、总脂肪组织（TAT）以及 HFF 之间仍然存在很强的正相关性（VAT：β = 0.31，95%-CI [0.71，0.81]，p 结论：肾上腺体积与脂肪总体积和 HFF 之间的正相关性在多变量分析中并不明显，但在对可能的代谢混杂因素进行广泛的分步调整后，肾上腺体积与脂肪总体积和 HFF 之间的正相关性仍然存在：我们的研究结果发现，无论代谢风险因素如何，基于核磁共振成像的肾上腺体积可能是不利脂肪组织分布的影像生物标志物。因此，肾上腺体积可作为代谢变化的潜在磁共振成像生物标志物，有助于代谢状态的个体特征描述和个体风险分层。未来的研究应采用纵向研究设计，阐明 HPA 轴的激活是否以及如何引发不利的脂肪组织分布，以及这种激活是否以及在多大程度上参与了显性代谢综合征的发病机制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.