Majority of type 2 diabetes mellitus (T2DM) patients are highly susceptible to several forms of cognitive impairments, particularly dementia. However, the underlying neural mechanism of these cognitive impairments remains unclear. We aimed to investigate the correlation between whole brain resting state functional connections (RSFCs) and the cognitive status in 95 patients with T2DM. We constructed an elastic net model to estimate the Montreal Cognitive Assessment (MoCA) scores, which served as an index of the cognitive status of the patients, and to select the RSFCs for further prediction. Subsequently, we utilized a machine learning technique to evaluate the discriminative ability of the connectivity pattern associated with the selected RSFCs. The estimated and chronological MoCA scores were significantly correlated with R= 0.81 and the mean absolute error (MAE) =1.20. Additionally, cognitive impairments of patients with T2DM can be identified using the RSFC pattern with classification accuracy of 90.54％ and the area under the receiver operating characteristic (ROC) curve (AUC) of 0.9737. This connectivity pattern not only included the connections between regions within the default mode network (DMN), but also the functional connectivity between the task-positive networks and the DMN, as well as those within the task-positive networks. The results suggest that an RSFC pattern could be regarded as a potential biomarker to identify the cognitive status of patients with T2DM.

BACKGROUND:This study provided insight into the molecular mechanisms by which exogenous basic fibroblast growth factor(bFGF)promotes wound healing. OBJECTIVE:To investigate the effect of exogenous bFGF on macrophage phenotype transition and granulation regeneration during wound repair in rats. METHODS:(1)In vitro experiment:Cells were divided into normal control group,low-dose bFGF group,high-dose bFGF group,and bFGF+valproic acid group.100 and 200 μg/L bFGF was added into the cell culture medium of low-dose bFGF group and high-dose bFGF group,respectively,while 200 μg/L bFGF and 20 mmol/L valproic acid were added into the cell culture medium of valproic acid group.EdU test,scratch test and tubule formation test were used to detect the effects of bFGF on proliferation,migration and angiogenesis of human umbilical vein endothelial cells.(2)In vivo experiment:Sprague-Dawley rats were randomly divided into model group,low-dose bFGF group,high-dose bFGF group and bFGF+valproic acid group.The open wound model of full-thickness skin defect was established in low-dose bFGF group,high-dose bFGF group and bFGF+valproic acid group.Rats in the low-and high-dose bFGF groups were given 100 and 200 μg/L bFGF through subcutaneous injection,while those in the bFGF+valproic acid group received subcutaneous injection of 200 μg/L bFGF and intraperitoneal injection of 10 mg/kg valproic acid.The wound healing rate of rats was detected at 7 and 14 days of administration.TUNEL was used to detect the apoptosis of cells in wound tissue.Enzyme linked immunosorbent assay was used to detect the serum levels of malondialdehyde,superoxide dismutase,tumor necrosis factor-α and interleukin-10.Immunofluorescence detection was conducted to detect the phenotypic transformation of macrophages in wound tissue.Immunohistochemistry was used to detect the expression of proliferating cell nuclear antigen,platelet endothelial cell adhesion molecule-1(CD31)and vascular endothelial growth factor in wound tissue.Western blot was used to detect the expression of Notch1 and Jagged1 in wound tissue. RESULTS AND CONCLUSION:(1)Compared with the normal control group,bFGF could significantly promote the proliferation,migration and angiogenesis of human umbilical vein endothelial cells in a dose-dependent manner.(2)Compared with the model group,bFGF could significantly promote wound healing,downregulate the rate of apoptosis in wound tissue,decrease the levels of malondialdehyde and tumor necrosis factor-α in serum,increase the levels of superoxide dismutase and interleukin-10,promote the conversion of macrophages to type M2 in wound tissue,upregulate the expression of proliferating cell nuclear antigen,CD31 and vascular endothelial growth factor in wound tissue,and inhibit the expression of Notch1 and Jagged1 in a dose-dependent manner.Valproic acid could partially reverse the promoting effect of bFGF on wound healing.To conclude,bFGF can significantly promote wound healing and granulation regeneration and induce the conversion of macrophages to M2,which may be related to the regulation of Notch1/Jagged1 signaling pathway.

Cardiovascular diseases is the leading cause of threat to human life and health worldwide. Early risk assessment, timely diagnosis, and prognosis evaluation are critical to the treatment of cardiovascular diseases. Currently, the evaluation of diagnosis and prognosis of cardiovascular diseases mainly relies on imaging examinations such as coronary CT and coronary angiography, which are expensive, time-consuming, partly invasive, and require high professional competence of the operator, making it difficult to promote in the community or in areas where medical resources are scarce. The fundus microcirculation is a part of the human microcirculation and has similar embryological origins and physiopathological features to cardiovascular circulation. Several studies have revealed fundus imaging biomarkers associated with cardiovascular diseases, and developed and validated intelligent diagnosis and treatment models for cardiovascular diseases based on fundus imaging data. Fundus imaging is expected to be an important adjunct to cardiovascular disease diagnosis and treatment given its noninvasive and convenient nature. The purpose of this review is to summarize the current research status, challenges, and future prospects of the application of artificial intelligence based on multimodal fundus imaging data in cardiovascular disease diagnosis and treatment.