CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China

Zeng, Qiang; Dong, Sheng-Yong; Zha, Xiaojuan; Ran, Limei; Li, Yongli; Chen, Shuang; Gao, Jianbo; Li, Shaolin; Zhang, Yuqin; Xiang-sheng, Xiao; Li, Yuehua; Ma, Xiaojing; Gong, Xian Zheng; Chen, Wei; Yang, Ying‐Ying; Du, Xia; Chen, Bairu; Lv, Yinru; Wu, Yan; Hong, Guobin; Pan, Yaling; Jiao, Jun; Yan, Yan; Qi, Huijuan; Zhai, Jing; Li, Kai; Zhao, Kaiping; Wu, Jing; Liu, Shiwei; Blake, Glen M.; Fu, Haihong; Fu, Xiao; Guo, Zhiping; Lemieux, Isabelle; Després, Jean‐Pierre; Cheng, Xiaoguang

doi:10.1016/j.metabol.2020.154456

Cited by 31 publications

(29 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, certain populations have healthy range BMIs with poor lean muscle mass and excess relative adiposity. Consistent with this, previous analyses correlating anthropometric indices to visceral adipose tissue (VAT), a strong predictor of cardiometabolic risk, demonstrated that BMI did not correlate with VAT 9,10 . These data highlight the need to use markers of adiposity, rather than BMI, when examining how excess body weight affects cancer outcomes.…”

Section: Introductionmentioning

confidence: 53%

Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma

Ospanova²,

A³

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: The relationship between systemic metabolism, immune function, and lung cancer is complex and remains poorly defined. Seemingly paradoxically, overweight and obesity confer an improved response to immune checkpoint inhibition in non-small cell lung cancer (NSCLC); however, it is not known whether excess body weight or adiposity impacts the immunometabolic tumor microenvironment. Methods: Utilizing three complementary National Cancer Institute-funded open-source databases containing 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (PET-CT) images for tumor and tissue glucose uptake, adipose tissue and skeletal muscle mass, histology annotated with tumor infiltrating lymphocytes, and tumor RNA sequencing, we performed a retrospective cross-sectional analysis to examine phenotypic, metabolic, and genomic intersections of adiposity and tumor immune-metabolism in patients with lung adenocarcinoma (LUAD) versus squamous cell carcinoma (LUSC). Results: Our data reveal distinct immunometabolomic features of LUSC as compared to LUAD: despite unchanged stage between the two tumor types, visceral fat content was negatively correlated with both tumor glucose uptake and lymphocyte infiltration, and correlated with enrichment of gene expression in pathways involved in mitochondrial translation and function in tumors. LUSC showed greater gene expression pathways related to pyruvate, glucose, amino acid, and lipid metabolism based on 18F-FDG uptake compared with LUAD, suggesting deeper metabolic regulation within the LUSC tumor microenvironment. Conclusions: Several immunometabolomic characteristics of LUSC and LUAD differ, including tumor glucose uptake and the associated metabolic pathways in the tumor, as well as the impact of visceral adiposity on tumor metabolism. These data may highlight opportunities to advance mechanistically targeted precision medicine approaches by better understanding the interplay between metabolic, immunologic, and genomic factors in lung cancer treatment.

show abstract

Section: Introductionmentioning

confidence: 53%

Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma

Ospanova²,

A³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…People with normal BMI combined with central obesity might have increased risk of metabolic syndrome. Our previous study revealed that VAT area could not be predicted from BMI in a Chinese population [14].…”

Section: Discussionmentioning

confidence: 87%

“…The baseline characteristics of the cohort consisting of 59,429 adults were reported elsewhere [14]. 21,772 subjects with waist circumference measurement were included in this study for further analysis.…”

Section: De Nition Of Metabolic Syndromementioning

confidence: 99%

The Threshold of Visceral Adipose Tissue Areas Measured With QCT On Cardiometabolic Risk Factors In A Nationwide Study In China

Zha

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Abdominal adiposity is associated with increased cardiometabolic risk and visceral adipose tissue (VAT) area obtained from computed tomography (CT) is a key anthropometric index. The present study investigated the VAT criteria on cardiometabolic risk factors in a large-scale nationwide Chinese population.Method: A total of 21,772 adults who underwent a low dose chest CT (LDCT) for lung cancer screening at one of 13 health checkup centers throughout China and had complete ancillary health records were evaluated. Abdominal VAT area at the center of L2 vertebra was measured with Mindways quantitative CT software using the existing LDCT dataset. Relevant anthropometric, serum and blood pressure measurements were obtained from the participants’ records. The VAT distribution of the LDCT cohort was age-adjusted using the Chinese national census. Results: The prevalence of metabolic syndrome based on the Chinese national guidelines was 29.5% and 10.5% in men and women respectively. Using ROC curves, the optimum threshold values for VAT area to identify metabolic syndrome were 213 cm2 in men, and 136 cm2 in women. For participants with VAT area above threshold, the odds ratio (95% confidence interval) for metabolic syndrome was 6.15 (5.65, 6.69) and 9.25 (7.58, 11.4) for men and women respectively. A further analysis of population attributable risk showed that VAT above threshold was significantly associated with an increased risk for metabolic syndrome.Conclusion: In this large-scale nationwide population of China, sex-specific threshold values for VAT area measured by CT were established to identify the risk of metabolic syndrome. VAT area is a key anthropometric index of interventions to control cardiometabolic risk.

show abstract

“…Recent studies have shown that abdominal subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) are closely associated with the postoperative prognosis of patients with diabetes, heart disease, pancreatitis, stroke, colorectal cancer, and most recently, COVID-19. [11][12][13][14][15][16] The implication of abdominal fat content in many diseases informed our hypothesis that abdominal VAT, SAT, and intermuscular adipose tissue (IMAT) may also be associated with MVI in sHCC. This study, therefore, aimed to use fat quantification software to measure the area of abdominal SAT, VAT, and IMAT in patients with sHCC and thus explore the relationship between these metrics and MVI.…”

Section: Introductionmentioning

confidence: 85%

Preoperative Assessment of Abdominal Adipose Tissue to Predict Microvascular Invasion in Small Hepatocellular Carcinoma

Lü

Xie

et al. 2021

J Clin Transl Hepatol

View full text Add to dashboard Cite

Background and Aims: Microvascular invasion (MVI) affects recurrence after treatment of small hepatocellular carcinoma (sHCC) of ≤3 cm in size. The present study aimed to investigate whether abdominal subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and intermuscular adipose tissue (IMAT) are associated with MVI in patients with sHCC. Methods: A total of 124 patients with pathologicallyconfirmed sHCC diagnosed on surgical resection at the First Hospital Affiliated to Army Military University were recruited and divided into two groups according to MVI classification criteria (i.e., MVI-positive or MVI-negative). The SAT, VAT, and IMAT areas at the lumbar 3 vertebral level were imaged with abdominal computed tomography and measured using ImageJ software. Their association with MVI in sHCC was analyzed. Results: Of the 124 patients with sHCC, 67 were MVI-positive and 57 were MVI-negative. Univariate analysis revealed a significant difference in the abdominal VAT and SAT between the MVI-positive and MVI-negative groups (p<0.05), with an area under the receiver operating characteristic curve of 0.76 and 0.65, respectively. Conclusions: The results of this study suggest that the areas of abdominal SAT and VAT are of significant clinical value because they can effectively predict the MVI status in patients with sHCC.

show abstract

CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China

Cited by 31 publications

References 19 publications

Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma

Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma

The Threshold of Visceral Adipose Tissue Areas Measured With QCT On Cardiometabolic Risk Factors In A Nationwide Study In China

Preoperative Assessment of Abdominal Adipose Tissue to Predict Microvascular Invasion in Small Hepatocellular Carcinoma

Contact Info

Product

Resources

About