[Effects of Renshenjian decoction on pancreatic metabonomic profiles in insulin resistance rats based on ¹H-NMR metabonomics].

Pancreas metabonomic profiles of the type 2 diabetic rats' induced by streptozotocin(STZ) and high-sugar, high fat diet on the treatment of Renshenjian decoction(RSJD) after 8 weeks were investigated.In this study, 48 Rats were randomly divided into four groups: normal control (NC), Pathological model (PM), Renshenjian decoction(RSJD 3.76 g·kg⁻¹) and glimepiride control (GC 0.04 mg·kg⁻¹). They are induced insulin resistance model of type 2 diabetes mellitus by streptozotocin(STZ) after 4 weeks' high-sugar, high fat diet except for NC. After sucessful modeling, they are given intragastric administration respectively with same amount of saline, RSJD and glimepiride in 4 weeks. At the end of the 8th week, the pancreatic tissue of rats in each group was collected, and the ¹H-NMR spectrum was collected after being treated by certain method, and analyzed by principal component analysis (PCA). Compared with NC's rats, we found PM's a significant elevation in the level of leucine/isoleucine, valine, lactic acid, creatine but reduction in the level of inose and less obvious changes in the level of creatine, cholic acid, taurine in pancreatic extract. After having been recieved RSJD, reduction level in leucine/isoleucine, valine, alanine, creatine, choline, taurine are also found in pancreatic extract of RSJD's rats, together with the increase of creatinine and tryptophan levels. The results showed that RSJD could regulate the level of amino acids in pancreas of IR rats, promoting a recovery in the process of metabolism. It's helpful to simulate the metabolic changes of IR rats via ¹H-NMR for a further understanding to study the mechanism how RSJD treat IR rats.

Analysis of functional and pathway association of differential co-expressed genes: a case study in drug addiction.

Drug addiction has been considered as a kind of chronic relapsing brain disease influenced by both genetic and environmental factors. At present, many causative genes and pathways related to diverse kinds of drug addiction have been discovered, while less attention has been paid to common mechanisms shared by different drugs underlying addiction. By applying a co-expression meta-analysis method to mRNA expression profiles of alcohol, cocaine, heroin addicted and normal samples, we identified significant gene co-expression pairs. As co-expression networks of drug group and control group constructed, associated function term pairs and pathway pairs reflected by co-expression pattern changes were discovered by integrating functional and pathway information respectively. The results indicated that respiratory electron transport chain, synaptic transmission, mitochondrial electron transport, signal transduction, locomotory behavior, response to amphetamine, negative regulation of cell migration, glucose regulation of insulin secretion, signaling by NGF, diabetes pathways, integration of energy metabolism, dopamine receptors may play an important role in drug addiction. In addition, the results can provide theory support for studies of addiction mechanisms.