Docking protein 1 and free fatty acids are associated with insulin resistance in patients with type 2 diabetes mellitus
Year: 2021
Type: article
Study design: Observational Study
Abstract: Objective Insulin resistance (IR) is a key defect in type 2 diabetes mellitus (T2DM); therefore, effective means of ameliorating IR are sought. Methods We performed a retrospective cohort study of 154 patients with T2DM and 39 with pre-diabetes (pre-DM). The effects of IR and a high concentration of FFA on gene expression were determined using microarray analysis and quantitative reverse transcription polymerase chain reaction (RT-qPCR) in patients with T2DM or pre-DM. Results Serum FFA concentration and homeostasis model assessment of IR (HOMA-IR) were significantly higher in patients with T2DM but no obesity and in those with pre-DM than in controls. HOMA-IR was significantly associated with T2DM. RT-qPCR showed that the expression of FBJ murine osteosarcoma viral oncogene homolog ( FOS) and AE binding protein 1 ( AEBP1) was much lower in the circulation of participants with obesity and diabetes. RT-qPCR showed that the expression of docking protein 1 ( DOK1) was significantly lower in the blood of participants with diabetes but no obesity and in those with pre-DM than in controls. Conclusions FFA and DOK1 are associated with IR in patients with T2DM but no obesity or pre-DM. The downregulation of DOK1 might inhibit lipid synthesis and induce lipolysis, inducing or worsening IR.
Authors: Xiaoqin Ha, Xiaoling Cai, Huizhe Cao, Jie Li, Bo Yang, Ruru Jiang, Xin Li, Bin Li, Yuan Xin
Institutions: Lanzhou University Second Hospital, Chinese People's Liberation Army, Lanzhou University, Qinghai Provincial Peoples Hospital, Shenyang First People's Hospital, The First People's Hospital of Guangyuan, The First People's Hospital of Neijiang, First People's Hospital of Xianyang, First Affiliated Hospital of Anhui Medical University, Nanjing Drum Tower Hospital, Xuzhou Medical College, Lianyungang Oriental Hospital
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,470
OpenAlex ID: W3210464644
