A modeling and simulation approach to determining the risk for diabetes incorporating the genetic polymorphisms

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K18925
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Medical pharmacy
• Research Institution: Kumamoto University
• Principal Investigator: Oniki Kentaro 熊本大学, 大学院生命科学研究部(薬), 助教 (00613407)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: NAFLD / 糖尿病 / DsbA-L / NONMEM / 統合失調症 / 肥満 / ALDH2

Outline of Final Research Achievements

・We established a BMI-based prediction model for non-alcoholic fatty liver disease (NAFLD) using a NONMEM program.The determination of the high-risk group for NAFLD based on a population NAFLD model may be useful for individualized health promotion.
・We showed that the disulfide bond-forming oxidoreductase A-Like protein(DsbA-L) rs1917760 polymorphism leads to a decreased expression of DsbA-L mRNA in PBMCs from Schizophrenia(SCZ) patients, resulting in an increased risk for being overweight in SCZ male patients. Therefore, the DsbA-L T/T genotype may be a novel risk factor for predicting an overweight status in SCZ male patients.
・We showed that the inactive aldehyde dehydrogenase (ALDH2)*2 allele may potentially be a novel risk factor for NAFLD in relation to an elevated gamma-glutamyl transferase level.

Free Research Field

医療薬学