Compounds identification and mechanism prediction of YuXueBi capsule in the treatment of arthritis by integrating UPLC/IM-QTOF-MS and network pharmacology.

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that seriously affects the life quality of patients. As a patent medicine of Chinese traditional medicine, YuXueBi capsule (YXBC) is widely used for treating RA with significant effects. However, its active compounds and therapeutic mechanisms are not fully illuminated, encumbering the satisfactory clinical application. In this study, we developed a method for identifying the chemical compounds of YXBC and the absorbed compounds into blood of rats using ultra performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UPLC/IM-QTOF-MS) combined with UNIFI analysis software. A total of 58 compounds in YXBC were unambiguously or tentatively identified, 16 compounds from which were found in serum of rats after administration of YXBC. By network pharmacology, these prototype compounds identified in serum were predicted to regulate 30 main pathways (including HIF-1 signaling pathway, neuroactive ligand-receptor interaction, IL-17 signaling pathway, and so on) through 146 targets, resulting in promoting blood circulation and removing blood stasis, analgesia, and anti-inflammatory activities. This study provides a scientific basis for the clinical efficacy of YXBC in the treatment of RA.

Deep learning-enabled anti-ambient light approach for fringe projection profilometry.

Achieving high-quality surface profiles under strong ambient light is challenging in fringe projection profilometry (FPP) since ambient light inhibits functional illumination from exhibiting sinusoidal stripes with high quantization levels. Conventionally, large-step phase shifting approaches are presented to enhance the anti-interference capability of FPP, but the image acquisition process in these approaches is highly time-consuming. Inspired by the promising performance of deep learning in optical metrology, we propose a deep learning-enabled anti-ambient light (DLAL) approach that can help FPP extract phase distributions from a single fringe image exposed to unbalanced lighting. In this work, the interference imposed by ambient light on FPP is creatively modeled as ambient light-induced phase error (ALPE). Guided by the ALPE model, we generate the dataset by precisely adjusting the stripe contrast before performing active projection, overcoming the challenge of collecting a large sample of fringe images with various illumination conditions. Driven by the novel dataset, the generated deep learning model can effectively suppress outliers among surface profiles in the presence of strong ambient light, thereby implementing high-quality 3D surface imaging. Experimentally, we verify the effectiveness and adaptability of the proposed DLAL approach in both indoor and outdoor scenarios with strong irradiation.

Proteomic analysis of skeletal muscle in Chinese hamsters with type 2 diabetes mellitus reveals that OPLAH downregulation affects insulin resistance and impaired glucose uptake.

Type 2 diabetes mellitus (T2DM) is a metabolic disease controlled by a combination of genetic and environmental factors. The Chinese hamster, as a novel animal model of spontaneous T2DM with high phenotypic similarity to human disease, is of great value in identifying potential therapeutic targets for T2DM. Here, we used tandem mass tag (TMT) quantitative proteomics based on liquid chromatography-tandem mass spectrometry to assess the skeletal muscles of a Chinese hamster diabetes model. We identified 38 differentially abundant proteins, of which 14 were upregulated and 24 were downregulated. Further analysis of the differentially abundant proteins revealed that five of them (OPLAH, GST, EPHX1, SIRT5, ALDH1L1) were associated with oxidative stress; these were validated at the protein and mRNA levels, and the results were consistent with the proteomic analysis results. In addition, we evaluated the role of OPLAH in the pathogenesis of T2DM in human skeletal muscle cells (HSKMCs) by silencing it. The knockdown of OPLAH caused an increase in reactive oxygen species content, decreased the GSH content, inhibited the PI3K/Akt/GLUT4 signaling pathway, and reduced glucose uptake. We propose that OPLAH downregulation plays a role in insulin resistance and glucose uptake disorders in HSKMCs possibly via oxidative stress, making it a new therapeutic target for T2DM.

The qualitative and quantitative profiling for quality assessment of Yinxing Mihuan Oral Solution and the stability study on the focused flavonol glycosides.

Yinxing Mihuan Oral Solution (YMOS) has been widely applied for the treatment of coronary heart disease, angina pectoris, and cerebral ischemic disease in clinical practice. Nonetheless, the limited basic researches on quality analysis of YMOS remain a critical bottleneck that needs to be enhanced for better clinical applications. In this study, a total of 67 chemical components, including flavonoids, terpene lactones, nucleosides, etc., were tentatively characterized by ultra-high performance liquid chromatography tandem Q-Exactive Orbitrap high-resolution mass spectrometry, among which 34 compounds were further identified by comparison with reference substances. By adopting a methodologically validated method, we discovered that the quantitative estimate of multi-compounds in 22 batches of YMOS showed lot-to-lot consistency, and the additives in YMOS also met the corresponding regulations. Furthermore, five flavonol glycosides whose content presented a downward trend in the expired YMOS were focused. A systematic research on stability test focusing on the five targeted flavonol glycosides was performed under different temperatures and pH levels. It was found that ortho-diphenolic hydroxyl group on B-ring and the type of saccharide connected to 3-hydroxyl on C-ring play a pivotal role in the stability of the tested compounds. Subsequently, as the important compounds, ginkgolides A, B, and C in YMOS were simultaneously quantified with ultra performance liquid chromatography coupled with triple quadrupole mass spectrometry. In brief, this study performs a reliable chemical identification and provides a rapid and feasible method for the quality evaluation, which contributes to the in-depth investigation and safe application of YMOS for clinical uses.

Liver proteomics analysis reveals abnormal metabolism of bile acid and arachidonic acid in Chinese hamsters with type 2 diabetes mellitus.

Non-obese, spontaneous, and genetically predisposed type 2 diabetic Chinese hamsters exhibit metabolic abnormalities similar to those observed in human T2DM. Here, tandem mass tag (TMT)-based quantitative proteomics technology was used to screen and identify differentially abundant proteins in the liver that are associated with diabetes in Chinese hamsters. GO and KEGG pathway enrichment analysis were conducted to validate the findings, as well as qRT-PCR and western blotting. In total, 103 proteins were identified in the livers of diabetic hamsters, of which 48 were up-regulated and 55 were down-regulated. KEGG pathway enrichment analysis further demonstrated that linoleic acid metabolism, arachidonic acid metabolism, bile secretion, and other pathways were affected. Moreover, AQP9 and EPHX1 were significantly down-regulated in the bile secretion pathway, whereas PTGES2, Cyp2c27, and Cyp2c70 were associated with the arachidonic acid metabolic pathway. Serum levels of bile acid (BA) and arachidonic acid (AA) in diabetic Chinese hamsters were significantly higher than those in control hamsters. Cumulatively, our findings indicate that the five candidate proteins may be associated with abnormal BA and AA metabolism, suggesting their involvement in pathological changes in the livers of Chinese hamsters with T2DM. SIGNIFICANCE: The liver proteomics of Chinese hamsters describes differentially abundant proteins associated with T2DM, while promoting this animal model as an appropriate and ideal platform for investigating underlying molecular mechanisms of T2DM. This study reveals abnormal bile acid and arachidonic acid metabolism in T2DM hamsters, which may provide insights for studying the relationship between candidate proteins and KEGG pathways to elucidate the underlying molecular mechanism associated with T2DM.

Small intestine proteomics coupled with serum metabolomics reveal disruption of amino acid metabolism in Chinese hamsters with type 2 diabetes mellitus.

Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by hyperglycemia, with metabolic disturbances resulting from defects in insulin secretion, insulin resistance (IR), or both. Chinese hamsters have potential value as non-obese animal models of spontaneous T2DM for studying the pathogenesis and molecular characteristics of diabetes. In this study, the molecular characteristics of the Chinese hamster diabetes animal model were investigated through small intestine proteomics and serum metabolomics. A total of 213 differentially abundant proteins and 14 differentially abundant metabolites were identified through liquid chromatography-tandem mass spectrometry (LC-MS/MS) and gas chromatography-time of flight mass spectrometry (GC-TOF/MS) analysis, respectively. Annotation by bioinformatics analysis revealed that these differentially abundant proteins in the small intestine were commonly associated with abnormal glucose and lipid metabolism, IR, impaired insulin secretion, amino acid metabolism disorders, and inflammatory dysregulation. Moreover, differentially abundant metabolites in the serum were amino acids and were related to diabetic IR. Through the analysis of small intestine proteomics and serum metabolomics in the Chinese hamster diabetes model, we provide a preliminary understanding of the diabetic characteristics of this model from a molecular perspective. This study provides data incentivizing the popularization and application of Chinese hamsters in T2DM research. SIGNIFICANCE: Spontaneous rodent models of diabetes, such as Chinese hamsters, effectively summarizes the clinical characteristics of type 2 diabetes and has high applicative value for studying the pathophysiology of diabetes. In order to explore the potential value of the Chinese hamster diabetes animal model in the study of the T2DM molecular mechanism, we performed small intestine proteomic analysis and serum metabolomic analysis in Chinese hamsters for the first time. After an integrated analysis of proteomics and metabolomics, we have a preliminary understanding of the diabetic characteristics of this model from a molecular perspective. Further, we found that in the occurrence and development of T2DM, the metabolic abnormalities of this model are particularly prominent, especially the metabolism of amino acids. These findings not only provide basic data in support of the popularization and application of the current model in T2DM research, but also provide a new perspective for the exploration of mechanisms related to T2DM.

Phenotypic characterization of a novel type 2 diabetes animal model in a SHANXI MU colony of Chinese hamsters.

PURPOSE: Developing animal models for human diseases is critical for studying complex diseases such as type 2 diabetes mellitus (T2DM). Since inbred colonies of Chinese hamsters tend toward spontaneous development of diabetes, we investigated them as a possible model. METHODS: We regarded individuals with fasting blood glucose (FBG) higher than 6.0 mmol/L and post-prandial blood glucose (PBG) higher than 7.0 mmol/L as diabetic based on the mean and 95% frequency distribution values of FBG and PBG. Diabetic hamsters were characterized based on metabolic profiles, histopathological features, and changes in the expression of genes involved in glucose and lipid metabolism. RESULTS: Metabolic analyses showed that diabetic hamsters exhibited mild hyperglycemia, hypertriglyceridemia, glucose intolerance, and insulin resistance. Histopathological analysis revealed that cell nuclei migrated inward in skeletal muscle and obvious partial liver lipid deposition and focal necrosis was found. We additionally observed mild injury, atrophy, and occasional vacuolization in islet cells. Changes in the expression of several genes related to glucose and lipid metabolism were observed. Decreased expression of adiponectin and GLUT4 and increased expression of PPARγ, Akt, and leptin was observed in skeletal muscle. Decreased expression of adiponectin with increased expression of PPARγ and leptin was observed in the liver. CONCLUSIONS: These results indicate that we have established a spontaneous diabetic hamster line that closely mimics human T2DM, which may hold potential for further research on the pathogenesis and treatment of this disease.

[Establishment of an N-2a cell line stably expressing mouse galanin and the effect of over-expressed galanin on the proliferation and apoptosis of N-2a cell].

OBJECTIVE: To construct an N-2a cell line stably expressing PcDNA 3.1-platelet derived growth factor-galanin (GAL) and explore the effect of over-expressed GAL on proliferation and apoptosis of N-2a cell in vitro. METHODS: The vector containing the target gene was transfected into N-2a cells by liposome, and cell clones stably over-expressing GAL was obtained via G418 screening. GAL mRNA and protein levels were determined by reverse transcriotion-polymerase chain reaction (RT-PCR) and Western blot. The proliferation of N-2a cells was detected by MTT.The cell cycle and apoptosis were detected by flow cytometry. RESULTS: RT-PCT and Western blot indicated that GAL genes were highly expressed in the transfected N-2a cells (i.e.GAL-N-2a). As shown by MTT, the proliferation of the N-2a cells transfected with PcDNA 3.1-PDGF-GAL was significantly slower than the control group(P<0.05). Compared with the non-transfected cells in the control group, the N-2a cells with endogenously overexpressed GAL were arrested at the G0/G1 phases, and the over-expressed GAL protein significantly induced the N-2a cell apoptosis in a concentration-dependent fashion. CONCLUSION: Eukaryotic expression vector PcDNA 3.1-PDGF-GAL can encode the expression of GAL in N-2a cells. Aslo, it can inhibit cell proliferation and promote the cell apoptosis.