Transcriptomic and proteomic analysis of potential therapeutic target genes in the liver of metformin‑treated Sprague‑Dawley rats with type 2 diabetes mellitus

Olanzapine, risperidone and ziprasidone differently affect lysosomal function and autophagy, reflecting their different metabolic risk in patients

The metabolic effects induced by antipsychotics in vitro depend on their action on the trafficking and biosynthesis of sterols and lipids. Previous research showed that antipsychotics with different adverse effects in patients cause similar alterations in vitro, suggesting the low clinical usefulness of cellular studies. Moreover, the inhibition of peripheral AMPK was suggested as potential aetiopathogenic mechanisms of olanzapine, and different effects on autophagy were reported for several antipsychotics. We thus assessed, in clinically-relevant culture conditions, the aetiopathogenic mechanisms of olanzapine, risperidone and ziprasidone, antipsychotics with respectively high, medium, low metabolic risk in patients, finding relevant differences among them. We highlighted that: olanzapine impairs lysosomal function affecting autophagy and autophagosome clearance, and increasing intracellular lipids and sterols; ziprasidone activates AMPK increasing the autophagic flux and reducing intracellular lipids; risperidone increases lipid accumulation, while it does not affect lysosomal function. These in vitro differences align with their different impact on patients. We also provided evidence that metformin add-on improved autophagy in olanzapine-treated cells and reduced lipid accumulation induced by both risperidone and olanzapine in an AMPK-dependent way; metformin also increased the production of bile acids to eliminate cholesterol accumulations caused by olanzapine. These results have different clinical implications. We demonstrated that antipsychotics with different metabolic impacts on patients actually have different mechanisms of action, thus supporting the possibility of a personalised antipsychotic treatment. Moreover, we found that metformin can fully revert the phenotype caused by risperidone but not the one caused by olanzapine, that still activates SREBP2.

Differential proteomic analysis of mouse cerebrums with high-fat diet (HFD)-induced hyperlipidemia

Hyperlipidemia is a chronic disease characterized by elevated blood cholesterol and triglycerides and there is accumulated evidence that the disease might affect brain functions. Here we report on a proteomic analysis of the brain proteins in hyperlipidemic mice. Hyperlipidemia was successfully induced in mice by a 20 week high-fat diet (HFD) feeding (model group). A control group with a normal diet and a treatment group with HFD-fed mice treated with a lipid-lowering drug simvastatin (SIM) were established accordingly. The proteins were extracted from the left and right cerebrum hemispheres of the mice in the three groups and subjected to shotgun proteomic analysis. A total of 4,422 proteins were detected in at least half of the samples, among which 324 proteins showed significant difference (fold change >1.5 or <0.67, p < 0.05) in at least one of the four types of comparisons (left cerebrum hemispheres of the model group versus the control group, right cerebrums of model versus control, left cerebrums of SIM versus model, right cerebrums of SIM versus model). Biological process analysis revealed many of these proteins were enriched in the processes correlated with lipid metabolism, neurological disorders, synaptic events and nervous system development. For the first time, it has been reported that some of the proteins have been altered in the brain under the conditions of HFD feeding, obesity or hyperlipidemia. Further, 22 brain processes-related proteins showed different expression in the two cerebrum hemispheres, suggesting changes of the brain proteins caused by hyperlipidemia might also be asymmetric. We hope this work will provide useful information to understand the effects of HFD and hyperlipidemia on brain proteins.

Momordica charantia nanoparticles promote mitochondria biogenesis in the pancreas of diabetic-induced rats: gene expression study

Background

Mitochondria dysfunction is one of the clinical features of diabetes mellitus (DM), which is a hallmark of insulin resistance (IR). This study investigates the therapeutic effect of Momordica charantia nanoparticles on mitochondria biogenesis in diabetic-induced rats. Forty-two adult wistar rats (average weight of 189 ± 10.32) were grouped as follows: STZ (65 mg/kg), control group, STZ + silver nitrate (10 mg/kg), STZ + M. charantia silver nanoparticles (50 mg/kg), STZ + metformin (100 mg/kg), and STZ + M. charantia aqueous extract (100 mg/kg). DM was induced intraperitoneal using freshly prepared solution of STZ (65 mg/kg), and rats with fasting blood sugar (FBS) above 250 mg/dl after 72 h of induction were considered diabetic. Treatment started after the third day of induction and lasted for 11 days. Effect of M. charantia nanoparticles on glucose level and pancreatic expression of genes involved in mitochondria biogenesis (PGC-1α, AMPK, GSK-3β, PPARϒ), inflammation (IL-1B, TNFα) and glucose sensitivity (PI3K, AKT, PTEN Insulin and Glut2) were quantified using reverse-transcriptase polymerase chain reaction (RT-PCR).

Results

The results showed that M. charantia nanoparticles promote mitochondria biogenesis, glucose sensitivity and reverse inflammation in the pancreas of diabetes rat model through upregulation of PGC-1α, AMPK, PPARϒ, AKT, Insulin and Glut2 mRNA expression and downregulation of GSK-3β, PI3K, IL-1B and TNFα mRNA expression in the pancreas of diabetic rats.

Conclusion

This study thus concludes that M. charantia nanoparticles may provide effective therapeutics against mitochondria dysfunction in the pancreas of diabetic model.

Study of the Neurotransmitter Changes Adjusted by Circadian Rhythm in Depression Based on Liver Transcriptomics and Correlation Analysis

Depression has drawn increasing attention from the public around the world in recent years. Studies have shown that liver injury caused by chronic stress is relevant to depression and neurotransmitter changes. It is essential to clarify the relationship between neurotransmitter changes and hepatic gene expression in depression. In this study, we used the chronic unpredictable mild stress (CUMS) model combined with UHPLC-MS to explore the changes of neurotransmitters in serum and hippocampus and to decipher the differential gene expression in the liver by using the RNA-Seq combined with multivariate statistical analysis. Compared with the control group, the levels of neurotransmitters including 5-hydroxytryptamine (5-HT), acetylcholine, glutamate (Glu), and dopamine (DA) in the hippocampus and 5-HT, norepinephrine, γ-aminobutyric acid (GABA), and 5-hydroxyindoleacetic acid in serum were significantly changed in the CUMS rats. The results of liver transcriptomic analysis and correlation analysis showed that the Glu, DA, 5-HT, and GABA were impacted by 68 liver genes which were mainly enriched in three pathways including circadian rhythm, serotonergic synapse, and p53 signaling pathway. The expressive levels of clock genes and serotonergic synapse genes were validated by using q-PCR, and the diurnal rhythms of neurotransmitters were validated by in vivo hippocampus microdialysis. The CUMS stressors might cause phase advance of Glu and GABA by adjusting clock genes. The transcriptomic technique combined with correlation analysis and in vivo microdialysis could be used to discover comprehensive pathways of depression. It provides a new strategy for the rational assessment of the mechanism of disease.

Effects of Hydroxysafflor Yellow A on the PI3K/AKT Pathway and Apoptosis of Pancreatic β-Cells in Type 2 Diabetes Mellitus Rats

BACKGROUND AND AIM

Type 2 diabetes mellitus (T2DM), a complex metabolic disease, has become a major public health issue around the world. Hydroxysafflor yellow A (HSYA) is the major active chemical ingredient of Carthamus tinctorius L. (safflower), which is widely used in patients with cardiovascular and cerebrovascular diseases in China. The aim of this study was to investigate the anti-diabetic effect and potential mechanism of HSYA on the high-fat diet (HFD) and streptozotocin (STZ-)-induced T2DM rats.

MATERIALS AND METHODS

T2DM rats were induced by feeding HFD (60% fat) for four weeks followed by intraperitoneal injection of a low dose of streptozocin (35mg/kg). The T2DM rats were treated with HSYA (120mg/kg) or metformin (90mg/kg) for eight weeks. Biochemical analysis, histological analysis and Western blot analysis were conducted after 8 weeks of intervention.

RESULTS

The treatment with HSYA evidently reduced fasting-blood glucose and insulin resistance in T2DM rats, indicated by results from fasting-blood glucose, oral glucose tolerance test, fasting insulin levels and histology of pancreas islets. The Western blot results revealed that HSYA reversed the down-regulation of PI3K and AKT in liver. The TUNEL assay analysis of pancreatic tissue showed that HSYA could inhibit the apoptosis of pancreatic β-cells to a certain extent. Moreover, HSYA-treatment increased the levels of glycogen synthase and hepatic glycogen and improved lipid metabolism by reducing the triglyceride, total and low-density lipoprotein cholesterol levels, even though it did not change the rats' body weights.

CONCLUSION

The results of this study suggested that HSYA could promote PI3K/Akt activation and inhibit the apoptosis of pancreatic β-cells directly or indirectly, which might be the underlying mechanisms in HSYA to improve insulin resistance and regulate glycolipid metabolism in T2DM rats.

Integrated 16S rRNA Sequencing, Metagenomics, and Metabolomics to Characterize Gut Microbial Composition, Function, and Fecal Metabolic Phenotype in Non-obese Type 2 Diabetic Goto-Kakizaki Rats

Type 2 diabetes mellitus (T2DM) is one of the most prevalent endocrine diseases in the world. Recent studies have shown that dysbiosis of the gut microbiota may be an important contributor to T2DM pathogenesis. However, the mechanisms underlying the roles of the gut microbiome and fecal metabolome in T2DM have not been characterized. Recently, the Goto-Kakizaki (GK) rat model of T2DM was developed to study the clinical symptoms and characteristics of human T2DM. To further characterize T2DM pathogenesis, we combined multi-omics techniques, including 16S rRNA gene sequencing, metagenomic sequencing, and metabolomics, to analyze gut microbial compositions and functions, and further characterize fecal metabolomic profiles in GK rats. Our results showed that gut microbial compositions were significantly altered in GK rats, as evidenced by reduced microbial diversity, altered microbial taxa distribution, and alterations in the interaction network of the gut microbiome. Functional analysis based on the cluster of orthologous groups (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations suggested that 5 functional COG categories belonged to the metabolism cluster and 33 KEGG pathways related to metabolic pathways were significantly enriched in GK rats. Metabolomics profiling identified 53 significantly differentially abundant metabolites in GK rats, including lipids and lipid-like molecules. These lipids were enriched in the glycerophospholipid metabolic pathway. Moreover, functional correlation analysis showed that some altered gut microbiota families, such as Verrucomicrobiaceae and Bacteroidaceae, significantly correlated with alterations in fecal metabolites. Collectively, the results suggested that an altered gut microbiota is associated with T2DM pathogenesis.

A Possible Mechanism of Metformin in Improving Insulin Resistance in Diabetic Rat Models

BACKGROUND

Type 2 diabetes has become one of the most common diseases worldwide, causing a serious social burden. As a first-line treatment for diabetes, metformin can effectively improve insulin resistance. It has been reported that 12α-hydroxylated BA (mainly CA) is associated with insulin resistance. The purpose of this study was to analyze the changes in CA and possible signaling mechanisms in diabetic rats after metformin intervention.

METHODS

HepG2 cells were cultured after adding different concentrations of metformin. The cell viability was measured using CCK8 kit, and the expression of FXR, MAFG, and CYP8B1 in cells was detected by WB. The rat models of type 2 diabetes were induced by low-dose streptozotocin by feeding a high-fat diet, and the control rats (CON) were fed on normal food; the diabetic rats (DM) were given a high-fat diet without supplementation with metformin, while the metformin-treated diabetic rats (DM + MET) were given a high-fat diet and supplemented with metformin. Biochemical parameters were detected at the end of the test. Expression levels of FXR, CYP8B1, and MAFG were assessed by WB. Serum CA were measured using an enzyme-linked immunosorbent assay (ELISA).

RESULTS

In HepG2 cells, metformin dose-dependently enhanced the transcriptional activity of FXR and MAFG and inhibited the expression of CYP8B1. Metformin-treated DM rats showed improved glucose and bile acid metabolism. In addition, significantly increased FXR and MAFG and decreased CYP8B1 were observed in DM + MET rats. At the same time, the CA content of metformin-treated rats was lower than that of diabetic rats.

CONCLUSION

Changes in CA synthesis after metformin treatment may be associated with inhibition of CYP8B1. These results may play an important role in improving insulin sensitivity after metformin treatment.