Expression of ADP and TNF-α in patients with gestational diabetes mellitus and its relationship with pregnancy outcomes

Expression of adiponectin (ADP) and tumor necrosis factor-alpha (TNF-alpha) in patients with gestational diabetes mellitus and its relationship with pregnancy outcomes was explored. A total of 78 patients with gestational diabetes mellitus admitted to Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University from June 2017 to December 2018 were enrolled as an experimental group, and further 70 healthy pregnant women in physical examination during the same period were enrolled as a control group. Concentrations of ADP and TNF-alpha were determined and compared between the two groups. The patients were divided into high ADP expression group (>= 6.84), low ADP expression group (<6.84), high TNF-<alpha> expression group (>= 6.17) and low TNF-alpha expression group (<6.17). Corresponding two groups were compared in terms of adverse pregnancy outcomes, respectively, and they were also compared with the control group. The clinical association between ADP and TNF-<alpha> was analyzed. TNF-alpha was highly expressed in the blood of patients with gestational diabetes mellitus, while ADP expression was low in the blood. The low expression of ADP was related to age, pregestational body mass index (BMI), gestational week, medical history and family history of diabetes mellitus (all P<0.05), and the high expression of TNF-<alpha> was related to age, pregestational BMI, gestational week, medical history, amniotic fluid volume, abortion history, and family history of diabetes mellitus (all P<0.05). The experimental group faced a higher risk of adverse pregnancy outcomes than the control group. Both ADP and TNF-<alpha> are abnormally expressed in the patients with gestational diabetes mellitus, and TNF-alpha is affected by more of the factors. The concentrations of ADP and TNF-alpha affect the pregnancy outcomes. It suggests that ADP and TNF-alpha can be used as indexes for predicating pregnancy outcomes, and for judging the disease conditions and treatment of patients.