Sign in
Genetic & Genomic MedicinePLoS ONE
Peer-reviewed journal article

The association between salivary amylase gene copy number and enzyme activity with type 2 diabetes status

Sri Lakshmi Sravani DevarakondaiD, Jennifer ReniD, Angela C. PooleiD

Abstract

The association between salivary amylase gene (AMY1) copy number (CN) and metabolic health parameters, such as insulin resistance, has been studied but with conflicting results. The cause of these inconsistencies is multifaceted and confounded by differences in genotyping methods. In this study, we investigated the factors that affect the association between AMY1 CN, salivary amylase activity (SAA), and type 2 diabetes (T2D) status. We collected up to four saliva samples from two cohorts: individuals with self-reported T2D or prediabetes (n = 18) and individuals who self-reported as being without T2D or prediabetes (controls, n = 178). We genotyped individuals for AMY1 CN using both quantitative PCR and droplet digital PCR and measured SAA in the saliva samples. We demonstrated that these two commonly used methods give comparable values for AMY1 CN. We showed a positive association between the time of saliva collection and SAA throughout the day. We also observed that AMY1 CN and SAA are positively associated in individuals with and without T2D or prediabetes. With increasing AMY1 CN, SAA was higher for each additional copy of AMY1 CN in individuals with T2D or prediabetes compared to controls. Our findings support the premise that increased SAA in T2D patients is a compensatory mechanism related to the long-term protective effect of high AMY1 CN on glucose metabolism.

02 /Specification & Classification

Click any tag to browse matching papers
Citations
4
FWCI
2.34
Field percentile
top 12%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHasegawa '22Akime '25Demirkan '19Sun '17Shaibu '20Okun '20
71% semantic matchGenetic & Genomic Medicine
Takanori Hasegawa, Masanori Kakuta, Rui Yamaguchi+6 more·Scientific Reports·May 10, 2022· 18 citations