Magic™ Anti-RBP4 monoclonal antibody, clone C687N

Background The aim of this study was to evaluate the diagnostic and risk predictive value of emerging proinflammatory and anti-inflammatory adipocytokines on coronary artery disease (CAD). Patients and methods The study involved 259 inpatients suspected acute coronary syndrome who underwent coronary angiography. Demographic, clinical characteristics, and coronary artery stenosis rated by Gensini score were collected by cardiovascular doctors. The levels of serum inflammatory adipocytokines were evaluated by ELISA. The correlations of the cytokines with clinical parameters were assessed. Receiver operating characteristic curves were constructed for the diagnosis of CAD. Results The 259 inpatients were assigned to the CAD (n = 180) and control groups (n = 79). Compared with the control group, the CAD group displayed significantly higher serum levels of retinol-binding protein-4 (RBP4), pentraxin 3 (PTX3), galectin-3 (GAL-3), and plasminogen activator inhibitor (PAI-1), and significantly lower levels of netrin-1 (NTN1), interleukin-37 (IL-37), and adiponectin (ADP) (all P < 0.05). PAI-1 was significantly upregulated, and IL-37 and ADP were significantly downregulated in the three-vessels CAD subgroup compared to the one- and two-vessels CAD subgroups (P < 0.05). The RBP4, PTX3, GAL-3, PAI-1, and IL-37 inflammatory cytokines were significantly positively correlated with Gensini score, and ADP was negatively correlated (all P < 0.001). IL-37 was a more accurate anti-inflammatory biomarker than NTN1 and ADP. Combining cytokines significantly increased the sensitivity and specificity. Conclusion The inflammatory adipocytokines GAL-3, RBP4, PTX3, NTN1, and IL-37 were more effective than the classical biomarkers PAI-1 and ADP in the diagnosis and risk assessment of CAD patients.

We recently reported that brain-specific human beta-secretase 1 (BACE1) knock-in (PLB4), a mouse model of sporadic Alzheimer's disease (AD), also develops a severe diabetic phenotype characterised by impaired glucose homeostasis, decreased insulin sensitivity and a fatty liver phenotype. Hence, we here aimed to assess if targeted anti-diabetic therapies (Liraglutide and Fenretinide) would attenuate the diabetic and behavioural phenotype of these mice. PLB4 mice and wild-type (WT) controls were administered Liraglutide or Fenretinide for ten consecutive weeks alongside vehicle-treated mice. Physiological (body weight and mass composition, glucose tolerance, serum hormone concentration), behavioural (locomotor activity) and molecular assessments were performed in mice pre- and post-treatment. Liraglutide and Fenretinide treatments inhibited adiposity gain and decreased circulating serum triglyceride (with Liraglutide) and leptin (with Fenretinide) levels in PLB4 mice. We also found that PLB4 mice exhibited increased levels of serum dipeptidyl peptidase 4 (DPP4), together with upregulated hepatic expression of Dpp4, retinol binding protein 4 (Rbp4) and sterol regulatory element-binding is (Srebplc), which was normalised by both treatments. Interestingly, Liraglutide treatment slowed down habituation to a novel environment and increased secondary night activity peak in WT mice, suggesting an impact on circadian activity regulation. However, neither treatment improved glucose homeostasis in PLB4 mice, implying that impaired glucose metabolism in this genotype may not be associated with glucagon like peptide 1 (GLP-1) and/or RBP4-mediated pathways. In summary, this study provides new insights into molecular mechanisms underlying neuronal BACE1-mediated metabolic regulation and implicates BACE1 as a putative regulator of systemic DPP4 levels.