Soluble CD163-Associated Dietary Patterns and the Risk of Metabolic Syndrome

Tzu Yu Hu, Shin Yng Lee, Chun Kuang Shih, Meng Jung Chou, Meng Chieh Wu, I. Chun Teng, Chyi Huey Bai, Nindy Sabrina, Alexey A. Tinkov, Anatoly V. Skalny, Jung Su Chang

Research output: Contribution to journalArticle

Abstract

Elevated soluble cluster of differentiation 163 (sCD163) concentrations, a marker of macrophage activation, are associated with obesity. Weight reduction decreases circulating CD163 levels, and changes in sCD163 levels are associated with improved metabolic dysfunction. Currently, the relationship between sCD163 and diet remains unclear. This study investigated dietary patterns associated with sCD163 concentrations and its predictive effect on metabolic syndrome (MetS). Data on anthropometrics, blood biochemistry, and a food frequency questionnaire were collected from 166 Taiwanese adults. sCD163 levels independently predicted MetS (odds ratio (OR): 5.35; 95% confidence interval (CI): 2.13~13.44, p < 0.001), non-alcoholic fatty liver disease (OR: 2.19; 95% CI: 1.03~4.64, p < 0.001), and central obesity (OR: 3.90; 95% CI: 1.78~8.55, p < 0.001), after adjusting for age and sex. An adjusted linear regression analysis revealed strong correlations between levels of sCD163 and aspartate transaminase (AST) (β = 0.250 (0.023~0.477), p < 0.05) and red blood cell aggregation (β = 0.332 (0.035~0.628), p < 0.05). sCD163-associated dietary pattern scores (high frequencies of consuming noodles and desserts, and eating at home, and a low intake frequency of steamed/boiled/raw food, white/light-green-colored vegetables, orange/red/purple-colored vegetables, dairy products, seafood, dark-green leafy vegetables, and soy products) were positively correlated with MetS, liver injury biomarkers, and sCD163 levels (all p for trend < 0.05). Individuals with the highest dietary pattern scores (tertile 3) had a 2.37-fold [OR: 2.37; 95% CI: 1.04~5.37, p < 0.05] higher risk of MetS compared to those with the lowest scores (tertile 1). Overall, the study findings suggest the importance of a healthy dietary pattern in preventing elevated sCD163 levels and diet-related chronic disease such as MetS.

Original languageEnglish
Pages (from-to)940
JournalNutrients
Volume11
Issue number4
DOIs
Publication statusPublished - Apr 25 2019

Fingerprint

metabolic syndrome
eating habits
odds ratio
confidence interval
Odds Ratio
Confidence Intervals
obesity
vegetables
Diet
Methyl Green
macrophage activation
vegetable products
Seafood
Cell Aggregation
soybean products
raw foods
blood chemistry
desserts
noodles
Dairy Products

Keywords

  • AST
  • dietary pattern
  • metabolic syndrome
  • obesity
  • red blood cell aggregation
  • soluble CD163

ASJC Scopus subject areas

  • Food Science
  • Nutrition and Dietetics

Cite this

Soluble CD163-Associated Dietary Patterns and the Risk of Metabolic Syndrome. / Hu, Tzu Yu; Lee, Shin Yng; Shih, Chun Kuang; Chou, Meng Jung; Wu, Meng Chieh; Teng, I. Chun; Bai, Chyi Huey; Sabrina, Nindy; Tinkov, Alexey A.; Skalny, Anatoly V.; Chang, Jung Su.

In: Nutrients, Vol. 11, No. 4, 25.04.2019, p. 940.

Research output: Contribution to journalArticle

Hu, TY, Lee, SY, Shih, CK, Chou, MJ, Wu, MC, Teng, IC, Bai, CH, Sabrina, N, Tinkov, AA, Skalny, AV & Chang, JS 2019, 'Soluble CD163-Associated Dietary Patterns and the Risk of Metabolic Syndrome', Nutrients, vol. 11, no. 4, pp. 940. https://doi.org/10.3390/nu11040940
Hu, Tzu Yu ; Lee, Shin Yng ; Shih, Chun Kuang ; Chou, Meng Jung ; Wu, Meng Chieh ; Teng, I. Chun ; Bai, Chyi Huey ; Sabrina, Nindy ; Tinkov, Alexey A. ; Skalny, Anatoly V. ; Chang, Jung Su. / Soluble CD163-Associated Dietary Patterns and the Risk of Metabolic Syndrome. In: Nutrients. 2019 ; Vol. 11, No. 4. pp. 940.
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