A Research On The Discriminant Analysis Of Diabetes And Prediabetes By The Method Of Bioinformatics

Objective:Type II diabetic (T2D) is a world-wide disease. According to estimationes,347millionpeople worldwide have diabetes. In the current study, we explored the diagnosis of theT2D patients, normal control group, and pre-diabetic patients by using peripheral bloodwhite cells molecular genealogy, trying to find the differences of genes in order to studydiabetes more deeply.MethodsA total of167blood samples were collected, including87T2D patients,56healthycontrols and24pre-diabetic patients. The diagnostic criteria of T2D is that a body massindex (BMI) increased obviously and the fasted blood-glucose>126mg/dl, or a2H bloodglucose>200mg/dl during the oral glucose tolerance test, for all the samples were in theanalysis of gene expression profiles by using the Agilent Oligo chip containing over40000genes. To Analyzes the data of gene chips by using Gene Spring10.0, the geneswhose fold change≥2were found out. All parameters of samples were integrated byusing SPSS16.0and a discriminant model was built. Finally, it was used to classify thesamples.ResultsThere were79genes with fold change≥2, p value＜0.05. Analysis of chromosomelocation of differential genes pointed out that3gene was of unknown location, and theother76differential genes located on chromosome1for the most, consisting of9,followed by chromosome2, consisting of7. From the classification of functions ofdifferential genes, Most of the genes belonged to the regulation of cell proliferationcategory. Analyzing79differential genes, age, sex, and race, consisting of82parameters, the optimal discriminant model was obtained, which the could identify95.1%samples, among which the correct rate of the T2D group was95.9%, the correctrate of the healthy control group was91.5%, and the correct rate of the pre-diabetic group was100%.ConclusionDifferential genes distributed in each chromosome, for the most in chromosome1andchromosome2. Regulation of cell proliferation gene abnormalities in the T2D played animportant role in the process. The discriminant model built based on this experimentusing79genes with age, sex, race parameters could distinguish T2D, normal controls,and pre-diabetic, and will help to understand the mechanisms for diabetes-relatedresearch and a new theoretical basis for treatments.