Ling Wang, Yandong Liu, Kai Li, Wenshuang Zhang, Yi Yuan, Kangkang Ma, Fengyun Zhou, Zitong Cheng, Jian Geng, Yongbin Su, Zhe Guo, Glen M. Blake, Xiaoguang Cheng, Yajun Liu, Klaus Engelke, Annegreet G. Vlug
{"title":"通过 CT 和 MRI 测量,年龄和体重指数对皮下脂肪、内脏脂肪、肝脏脂肪、骨髓脂肪和肌肉脂肪有不同的影响。","authors":"Ling Wang, Yandong Liu, Kai Li, Wenshuang Zhang, Yi Yuan, Kangkang Ma, Fengyun Zhou, Zitong Cheng, Jian Geng, Yongbin Su, Zhe Guo, Glen M. Blake, Xiaoguang Cheng, Yajun Liu, Klaus Engelke, Annegreet G. Vlug","doi":"10.1002/oby.24040","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>We analyzed quantitative computed tomography (CT) and chemical shift–encoded magnetic resonance imaging (MRI) data from a Chinese cohort to investigate the effects of BMI and aging on different adipose tissue (AT) depots.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>In 400 healthy, community-dwelling individuals aged 22 to 83 years, we used MRI to quantify proton density fat fraction (PDFF) of the lumbar spine (L2–L4) bone marrow AT (BMAT), the psoas major and erector spinae (ES) muscles, and the liver. Abdominal total AT, visceral AT (VAT), and subcutaneous AT (SAT) areas were measured at the L2-L3 level using quantitative CT. Partial correlation analysis was used to evaluate the relationship of each AT variable with age and BMI. Multiple linear regression analysis was performed in which each AT variable was evaluated in turn as a function of age and the other five independent AT measurements.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Of the 168 men, 29% had normal BMI (<24.0 kg/m<sup>2</sup>), 47% had overweight (24.0–27.9 kg/m<sup>2</sup>), and 24% had obesity (≥ 28.0 kg/m<sup>2</sup>). In the 232 women, the percentages were 46%, 32%, and 22%, respectively. Strong or very strong correlations with BMI were found for total AT, VAT, and SAT in both sexes. BMAT and ES PDFF was strongly correlated with age in women and moderately correlated in men. In both sexes, BMAT PDFF correlated only with age and not with any of the other AT depots. Psoas PDFF correlated only with ES PDFF and not with age or the other AT depots. Liver PDFF correlated with BMI and VAT and weakly with SAT in men. VAT and SAT correlated with age and each other in both sexes.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Age and BMI are both associated with adiposity, but their effects differ depending on the type of AT.</p>\n </section>\n </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Age and BMI have different effects on subcutaneous, visceral, liver, bone marrow, and muscle adiposity, as measured by CT and MRI\",\"authors\":\"Ling Wang, Yandong Liu, Kai Li, Wenshuang Zhang, Yi Yuan, Kangkang Ma, Fengyun Zhou, Zitong Cheng, Jian Geng, Yongbin Su, Zhe Guo, Glen M. Blake, Xiaoguang Cheng, Yajun Liu, Klaus Engelke, Annegreet G. Vlug\",\"doi\":\"10.1002/oby.24040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>We analyzed quantitative computed tomography (CT) and chemical shift–encoded magnetic resonance imaging (MRI) data from a Chinese cohort to investigate the effects of BMI and aging on different adipose tissue (AT) depots.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>In 400 healthy, community-dwelling individuals aged 22 to 83 years, we used MRI to quantify proton density fat fraction (PDFF) of the lumbar spine (L2–L4) bone marrow AT (BMAT), the psoas major and erector spinae (ES) muscles, and the liver. Abdominal total AT, visceral AT (VAT), and subcutaneous AT (SAT) areas were measured at the L2-L3 level using quantitative CT. Partial correlation analysis was used to evaluate the relationship of each AT variable with age and BMI. Multiple linear regression analysis was performed in which each AT variable was evaluated in turn as a function of age and the other five independent AT measurements.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Of the 168 men, 29% had normal BMI (<24.0 kg/m<sup>2</sup>), 47% had overweight (24.0–27.9 kg/m<sup>2</sup>), and 24% had obesity (≥ 28.0 kg/m<sup>2</sup>). In the 232 women, the percentages were 46%, 32%, and 22%, respectively. Strong or very strong correlations with BMI were found for total AT, VAT, and SAT in both sexes. BMAT and ES PDFF was strongly correlated with age in women and moderately correlated in men. In both sexes, BMAT PDFF correlated only with age and not with any of the other AT depots. Psoas PDFF correlated only with ES PDFF and not with age or the other AT depots. Liver PDFF correlated with BMI and VAT and weakly with SAT in men. VAT and SAT correlated with age and each other in both sexes.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Age and BMI are both associated with adiposity, but their effects differ depending on the type of AT.</p>\\n </section>\\n </div>\",\"PeriodicalId\":215,\"journal\":{\"name\":\"Obesity\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/oby.24040\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/oby.24040","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
目的:我们分析了来自中国队列的定量计算机断层扫描(CT)和化学位移编码磁共振成像(MRI)数据,以研究体重指数(BMI)和衰老对不同脂肪组织(AT)储藏的影响:在 400 名年龄在 22 至 83 岁之间的健康社区居民中,我们使用核磁共振成像量化了腰椎(L2-L4)骨髓脂肪组织(BMAT)、腰大肌和竖脊肌以及肝脏的质子密度脂肪分数(PDFF)。在 L2-L3 层使用定量 CT 测量了腹部总 AT、内脏 AT(VAT)和皮下 AT(SAT)面积。采用偏相关分析来评估各AT变量与年龄和体重指数的关系。在进行多元线性回归分析时,每个AT变量作为年龄和其他五个独立AT测量值的函数依次进行评估:结果:在 168 名男性中,29% 的人体重指数正常(2),47% 的人超重(24.0-27.9 kg/m2),24% 的人肥胖(≥ 28.0 kg/m2)。在 232 名女性中,这一比例分别为 46%、32% 和 22%。在男性和女性中,总 AT、VAT 和 SAT 均与体重指数有很强或非常强的相关性。在女性中,BMAT 和 ES PDFF 与年龄密切相关,而在男性中则呈中度相关。在男女两性中,BMAT PDFF 只与年龄相关,而与任何其他 AT 脂肪库无关。腰肌 PDFF 仅与 ES PDFF 相关,而与年龄或其他 AT 脂质无关。在男性中,肝脏 PDFF 与体重指数(BMI)和腹部脂肪含量(VAT)相关,与腹部脂肪含量(SAT)关系不大。VAT和SAT在男女两性中都与年龄和其他因素相关:结论:年龄和体重指数都与肥胖有关,但它们的影响因脂肪变性类型的不同而不同。
Age and BMI have different effects on subcutaneous, visceral, liver, bone marrow, and muscle adiposity, as measured by CT and MRI
Objective
We analyzed quantitative computed tomography (CT) and chemical shift–encoded magnetic resonance imaging (MRI) data from a Chinese cohort to investigate the effects of BMI and aging on different adipose tissue (AT) depots.
Methods
In 400 healthy, community-dwelling individuals aged 22 to 83 years, we used MRI to quantify proton density fat fraction (PDFF) of the lumbar spine (L2–L4) bone marrow AT (BMAT), the psoas major and erector spinae (ES) muscles, and the liver. Abdominal total AT, visceral AT (VAT), and subcutaneous AT (SAT) areas were measured at the L2-L3 level using quantitative CT. Partial correlation analysis was used to evaluate the relationship of each AT variable with age and BMI. Multiple linear regression analysis was performed in which each AT variable was evaluated in turn as a function of age and the other five independent AT measurements.
Results
Of the 168 men, 29% had normal BMI (<24.0 kg/m2), 47% had overweight (24.0–27.9 kg/m2), and 24% had obesity (≥ 28.0 kg/m2). In the 232 women, the percentages were 46%, 32%, and 22%, respectively. Strong or very strong correlations with BMI were found for total AT, VAT, and SAT in both sexes. BMAT and ES PDFF was strongly correlated with age in women and moderately correlated in men. In both sexes, BMAT PDFF correlated only with age and not with any of the other AT depots. Psoas PDFF correlated only with ES PDFF and not with age or the other AT depots. Liver PDFF correlated with BMI and VAT and weakly with SAT in men. VAT and SAT correlated with age and each other in both sexes.
Conclusions
Age and BMI are both associated with adiposity, but their effects differ depending on the type of AT.
期刊介绍:
Obesity is the official journal of The Obesity Society and is the premier source of information for increasing knowledge, fostering translational research from basic to population science, and promoting better treatment for people with obesity. Obesity publishes important peer-reviewed research and cutting-edge reviews, commentaries, and public health and medical developments.