1. Academic Validation
  2. Association of Serum Amylase Activity and the Copy Number Variation of AMY1/2A/2B with Metabolic Syndrome in Chinese Adults

Association of Serum Amylase Activity and the Copy Number Variation of AMY1/2A/2B with Metabolic Syndrome in Chinese Adults

  • Diabetes Metab Syndr Obes. 2021 Dec 2:14:4705-4714. doi: 10.2147/DMSO.S339604.
Fangjie Zhan 1 Jin Chen 1 Huihui Yan 1 Shuiliang Wang 1 Meng Zhao 1 Shenghang Zhang 1 Xiaopeng Lan 1 Masato Maekawa 2
Affiliations

Affiliations

  • 1 Department of Clinical Laboratory Medicine, The 900th Hospital of Joint Logistics Support Force, Fuzhou, People's Republic of China.
  • 2 Department of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Abstract

Purpose: Low serum amylase activity and copy number (CN) variation (CNV) of the salivary amylase gene (AMY1) are reportedly associated with obesity and abnormal glucose metabolism; however, this association remains controversial. We aimed to clarify the relationship between serum amylase activity and the CNV of AMY1/2A/2B with the occurrence of metabolic syndrome (MetS) in Chinese adults.

Patients and methods: Anthropometry, metabolic risk factors, and serum amylase activity were assessed in 560 subjects (260 MetS patients; 300 healthy controls). AMY1/2A/2B CNs were evaluated using the highly sensitive droplet digital PCR.

Results: The serum total, pancreatic, and salivary amylase activity, but not the AMY1/2A/2B CNs, was significantly lower in MetS patients than that in the control subjects. Patients <45 y had a lower AMY1 CN, compared to that in healthy controls. Low serum amylase activity was significantly associated with high MetS prevalence (p < 0.001). In the receiver operating characteristic curve analysis, serum amylase activity was a significant diagnostic indicator for MetS. The diagnostic value of total amylase was second only to that of γ-glutamyl transpeptidase; it was higher than that of alanine aminotransferase and uric acid.

Conclusion: Low serum amylase activity was significantly associated with increased risk of MetS in Chinese adults. Therefore, amylase could be a potential biomarker for predicting MetS.

Keywords

Chinese population; amylase; biomarker; copy number variation; metabolic disorders.

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