Metabolic syndrome screening using visceral adipose tissue (VAT) from opportunistic MRI locations in a multi-ethnic population

Rosa C. Villegas-Valle*, Unhee Lim, Gertraud Maskarinec, Adrian A. Franke, Thomas Ernst, Bo Fan, Gerardo Álvarez-Hernández, Maria del Carmen Candia-Plata, Rolando Giovanni Díaz-Zavala, Lynne R. Wilkens, Kristine R. Monroe, Mauro E. Valencia, Loïc Le Marchand, John A. Shepherd

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To determine if visceral adipose tissue (VAT) area measured through MRI can be used opportunistically to assess the presence of cardiometabolic risk factors and compare its performance to simpler adiposity measures. Methods: A cross-sectional analysis was carried out on a subset of 1683 participants (856 women) from the Adiposity Phenotype Study (mean age = 69.2y; range 59.9–77.4). The association of total VAT area (sum of four cross sections, L1–L2, L2–L3, L3–L4, L4–L5) and each location, as well as BMI and body fat % (per SD) with the metabolic syndrome (MetSx) or its components was evaluated through logistic regression analysis. Results: Total VAT can be accurately predicted using all sites evaluated (R2 range = 0.82−0.96). In men, VAT did not show a superior association to MetSx compared to BMI in men. However, in women, VAT was consistently superior to BMI and body fat % in its association to MetSx, independent of ethnicity [odds ratio for BMI, body fat %and total VAT area = 2.25 (95% CI: 1.93–2.62); 1.66 (95% CI: 1.36–2.03); 6.20 (95% CI: 4.69–8.21) respectively in all women]. Ethnic-specific odds ratios to MetSx in women ranged from 5.38 to 8.63 for total VAT area and 2.12–4.08 for BMI. Conclusion: Total VAT area can be accurately predicted from individual VAT regions in men and women and offers superior association to BMI for MetSx in women but not in men for five ethnicities. Therefore, opportunistic screening for elevated VAT area in women may be warranted across multiple ethnic groups.

Original languageEnglish
Pages (from-to)227-234
Number of pages8
JournalObesity Research and Clinical Practice
Volume15
Issue number3
DOIs
StatePublished - 1 May 2021

Bibliographical note

Funding Information:
We thank Steve Buchthal Ph.D. for his contributions to MRI data acquisition and analysis. Funding was provided by the National Cancer Institute for the Multiethnic Cohort Adiposity Phenotype Study ( P01CA168530 ), the Multiethnic Cohort Study ( U01 CA164973 ), and the UHCC ( P30 CA071789 ); for the biomarker analyses by the Analytical Biochemistry Shared Resource ( UHCC, P30 CA071789 ), and support by the Biostatistics Shared Resource (UHCC, P30 CA071789). Additional funding for developing this manuscript was provided by the NIH/NIDDK-R01DK109008 project “Optical Body Composition and Health Assessment” . We thank the study participants and the dedicated staff at the UHCC, and the University of Hawaii-Queen’s Medical Center MR Research Center; the USC and the UCSF.

Funding Information:
We thank Steve Buchthal Ph.D. for his contributions to MRI data acquisition and analysis. Funding was provided by the National Cancer Institute for the Multiethnic Cohort Adiposity Phenotype Study (P01CA168530), the Multiethnic Cohort Study (U01 CA164973), and the UHCC (P30 CA071789); for the biomarker analyses by the Analytical Biochemistry Shared Resource (UHCC, P30 CA071789), and support by the Biostatistics Shared Resource (<GN5>UHCC, P30 CA071789<GN5>). Additional funding for developing this manuscript was provided by the NIH/NIDDK-R01DK109008 project ?Optical Body Composition and Health Assessment?. We thank the study participants and the dedicated staff at the UHCC, and the University of Hawaii-Queen's Medical Center MR Research Center; the USC and the UCSF.

Publisher Copyright:
© 2021 Asia Oceania Association for the Study of Obesity

Keywords

  • Ethnicity
  • MRI
  • Metabolic syndrome
  • Opportunistic screening
  • Visceral fat

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