Vitronectin promotes insulin resistance in trophoblast cells by activating JNK in gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a common disorder in the clinic, which may lead to severe detrimental outcomes both for mothers and infants. However, the underlying mechanisms for GDM are still not clear. In the present study, we performed label-free proteomics using placentas from GDM patients and normal controls. Vitronectin caused our attention among differentially expressed proteins due to its potential role in the pathological progression of GDM. Vitronectin was increased in the placentas of GDM patients, which was confirmed by Western blot analysis. Vitronectin represses insulin signal transduction in trophoblast cells, whereas the knockdown of vitronectin further potentiates insulin-evoked events. Neutralization of CD51/61 abolishes the repressed insulin signal transduction in vitronectin-treated trophoblast cells. Moreover, vitronectin activates JNK in a CD51/61-depedent manner. Inhibition of JNK rescues impaired insulin signal transduction induced by vitronectin. Overall, our data indicate that vitronectin binds CD51/61 in trophoblast cells to activate JNK, and thus induces insulin resistance. In this regard, increased expression of vitronectin is likely a risk factor for the pathological progression of GDM. Moreover, blockade of vitronectin production or its receptors (CD51/61) may have therapeutic potential for dealing with GDM.

SABRE Hyperpolarization of Exchangeable Protons in Methanol-d4 through Dynamic Covalent Bonds.

Utilizing para-hydrogen (p-H2)-induced hyperpolarization to increase the sensitivity of nuclear magnetic resonance, especially signal amplification by reversible exchange (SABRE), has been widely studied. Here, we achieved hyperpolarization of exchangeable protons in methanol-d4 by introducing dynamic covalent bonds as reversible exchange following the SABRE process. To release the hyperpolarized CD3OH, the pyridine-based ligands with aldehyde groups underwent acetal exchange between the aldehyde and hydroxyl groups of CD3OH after being first hyperpolarized by SABRE. Our mechanistic study highlights the importance of the reversible exchange of functional groups and chemical kinetics in realizing hyperpolarization of exchangeable protons in methanol-d4. Our work broadens SABRE's chemical system compatibility and possible applications.

Identification of methylation-driven genes, circulating miRNAs and their potential regulatory mechanisms in gestational diabetes mellitus.

OBJECTIVE: Gestational diabetes mellitus (GDM) is a major pregnancy complication. The purpose of this study is to investigate the molecular regulatory mechanisms of GDM. METHODS: RNA-seq and methylation data of GDM were retrieved from the Gene Expression Omnibus database. Following principal component analysis (PCA), differentially expressed mRNAs and microRNAs (miRNAs) in the blood were highlighted between GDM and the control. Then, an abnormally expressed miRNA-mRNA network was constructed, based on which a protein-protein interaction (PPI) network was established to identify hub genes. Differentially expressed and methylated genes were identified for GDM, followed by functional enrichment analysis. RESULTS: According to PCA results, no outlier samples were found. A total of 35 differentially expressed circulating miRNAs were identified for GDM. The miRNA-mRNA regulatory network consisted of 94 miRNA-mRNA pairs. The PPI network contained 10 hub genes, including HIF1A, TLR2, FOS, IL6R, MYLIP, ABCA1, SELL, BCL3, AP1G1 and NECAP1. Furthermore, 22 down-regulated and hypermethylated genes and 8 up-regulated and hypomethylated genes were identified for GDM, which are related to helper T cell (Th) differentiation. CONCLUSION: We identified methylation-driven genes and circulating miRNAs for GDM, which have the potential to serve as novel diagnostic biomarkers.

Research on an intelligent diagnosis method of mechanical faults for small sample data sets.

The difficulty of feature extraction and the small sample size are two challenges in the field of mechanical fault diagnosis for a long time. Here we propose an intelligent mechanical fault diagnosis method for scenario with small sample datasets. This method can not only diagnose bearing faults but also gear faults, and has strong generalization performance. We use convolutional neural network to realize automatic feature extraction. Through sliding window scanning, one sample set is expanded to three sub-sample sets with different scales to meet the needs of deep learning training. Three convolutional networks are used to extract the features of the subsets respectively to ensure that their useful features are fully extracted. After feature extraction, the feature is reconstructed through feature splicing. Because of the unique advantages of SVM in dealing with small sample sets, we use SVM to classify the reconstructed features. We use the bearing data set collected by Case Western Reserve University in the United States, the bearing fault data set collected by Xi'an Jiaotong University in China, and the gearbox fault data collected by the University of Connecticut in the United States to conduct experiments. The experimental results show that the accuracy of training, validation and testing of the proposed method on the three data sets all reach 100%. This proves that our method can not only tackle the two challenges, but also has high fault diagnosis accuracy and strong generalization performance. It is hoped that our proposed method can contribute to the development of mechanical fault diagnosis.

Continuous glucose monitoring defined time-in-range is associated with sudomotor dysfunction in type 2 diabetes.

BACKGROUND: Time in range (TIR), as a novel metric for glycemic control, has robust relevance with diabetic complications. Diabetic peripheral neuropathy (DPN) is characterized by sudomotor dysfunction. AIM: To explore the relationship between TIR obtained from continuous glucose monitoring (CGM) and sudomotor function detected by SUDOSCAN in subjects with type 2 diabetes. METHODS: The research enrolled 466 inpatients with type 2 diabetes. All subjects underwent 3-d CGM and SUDOSCAN. SUDOSCAN was assessed with electrochemical skin conductance in hands (HESC) and feet (FESC). Average feet ESC < 60 µS was defined as sudomotor dysfunction (+), otherwise it was sudomotor dysfunction (-). TIR refers to the percentage of time when blood glucose is between 3.9-10 mmol/L during 1 d period. RESULTS: Among the enrolled subjects, 135 (28.97%) presented with sudomotor dysfunction. Patients with sudomotor dysfunction (+) showed a decreased level of TIR (P < 0.001). Compared to the lowest tertile of TIR, the middle and the highest tertiles of TIR was associated with an obviously lower prevalence of sudomotor dysfunction (20.51% and 21.94% vs 44.52%) (P < 0.001). In addition, with the increase of TIR, HESC and FESC increased (P < 0.001). Regression analysis demonstrated that TIR was inversely and independently linked with the prevalence of sudomotor dysfunction after adjusting for confounding values (odds ratio = 0.979, 95%CI: 0.971-0.987, P < 0.001). CONCLUSION: The tight glycemic control assessed by TIR is of vitally protective value for sudomotor dysfunction in type 2 diabetes mellitus.

Time in Range, as a Novel Metric of Glycemic Control, Is Reversely Associated with Presence of Diabetic Cardiovascular Autonomic Neuropathy Independent of HbA1c in Chinese Type 2 Diabetes.

OBJECTIVE: The objective of this study is to investigate the relationship between time in range (TIR), a new metric of continuous glucose monitoring (CGM) and cardiovascular autonomic neuropathy (CAN) in individuals with type 2 diabetes mellitus (T2DM). METHODS: A total of 349 individuals with T2DM were enrolled in this study. Evaluating by the standard cardiac autonomic reflex tests (CARTs), there were 228 diabetic individuals without cardiovascular autonomic neuropathy (without confirmed CAN) including absent CAN (n = 83 cases) and early CAN (n = 83 cases) and early CAN (n = 83 cases) and early CAN (n = 83 cases) and early CAN (. RESULTS: The total presence of CAN was 34.67% (definite CAN 31.23% and severe CAN 3.44%). Patients with more severe CAN had lower TIR (P < 0.001). With increasing quartiles of TIR, the presence of CAN by severity declined (P < 0.001). With increasing quartiles of TIR, the presence of CAN by severity declined (P < 0.001). With increasing quartiles of TIR, the presence of CAN by severity declined (P < 0.001). With increasing quartiles of TIR, the presence of CAN by severity declined (. CONCLUSION: TIR is associated with the presence of CAN independent of HbA1c and GV metrics in Chinese type 2 diabetes.

[The expression of hepatitis B virus X protein and cyclooxygenase-2 in hepatitis B virus-related hepatocellular carcinoma: correlation with microangiogenesis and metastasis, and what is the possible mechanism].

OBJECTIVE: To investigate the expression of HBx and COX-2 in hepatitis B virus-related hepatocellular carcinoma, and Its correlation with microangiogenesis and metastasis, and possible mechanism. METHODS: Immunohistochemistry was used to detect the expression of hepatitis B virus X, cyclooxygenase-2 and CD34 in hepatitis B virus related hepatic carcinoma and 22 non-HBV related hepatic carcinoma tissues. The expression of hepatitis B virus x protein and cyclooxygenase-2 in hepatitis B virus-related hepatocellular carcinoma correlated with microangiogenesis and metastasis was tested by Spearman correlation analysis. The expression of COX-2 in HepG2-X was detected by Western blot and RT-PCR. PGE2 was detected by ELISA in clear supernatant liquid of HepG2-X. Trypan blue exclusion was performed to examine the inhibitory effects of COX-2 selective inhibitor (celecoxib). RESULTS: In Hepatitis B carcinoma tissue, HBx and COX-2 were expressed at high level. The positive rate of COX-2 expression was 88.87% (55/62) in HBx positive expression group, which was significantly higher than that of the positive expression 31.82% (7/22, x2=27.188, P<0.01) in HBx negative expression group and 40.91% (9/22, x2=20.453, P<0.01) in non-HBV related hepatic carcinoma tissues, but it had no statistical difference (x2=0.393, P=0.531) between the HBx negative expression group and non-HBV related hepatic carcinoma tissue group. The expressions of HBx and COX-2 in metastasis group were higher than that in non-metastasis group (P<0.01), MVD in HBx or COX-2 positive expression group was significantly higher than that in negative expression group and non-HBV related hepatic carcinoma tissues (P is less than 0.01). MVD with metastasis was higher than that without metastasis (P<0.01) and MVD with portal vein invasion was higher than that without invasion (P<0.05). Spearman correlation analysis showed that the expression of COX-2 was significantly correlated with the expression of HBx (Rs=0.568, P<0.01). Celecoxib suppressed the growth of both cells in a dose-dependent manner. HepG2-X was significantly susceptible to celecoxib as compared to the HepG2-PC cells. COX-2 protein and mRNA were upregulated in HepG2-X cells than in HepG2-PC. Moreover, PGE2 was upregulated in clear supernatant liquid of HepG2-X than in HepG2-PC. CONCLUSION: The expressions of HBx and COX-2 were higher in HBV-related hepatocellular carcinoma. COX-2 was significantly correlated with HBx in HCC and it could be a key factor involved in HBx contributed hepatocellular carcinoma's microangiogenesis and metastasis. The possible mechanism of the dual effects might be through HBx, COX-2 and PGE2 pathways in infiltration involved metastasis and microangiogenesis involved metastasis.