Acidity-induced ITGB6 promote migration and invasion of lung cancer cells by epithelial-mesenchymal transition and focal adhesion.

Non-small cell lung cancer (NSCLC) is a prevalent tumor and acidic tumor microenvironment provides an energy source driving tumor progression. We previously demonstrated significantly upregulated Integrin ß6 (ITGB6) in NSCLC cells. This study was designed to investigate the role of ITGB6 in NSCLC metastasis and explore the potential mechanisms. The expression of ITGB6 was evaluated in patients with NSCLC. Migration and invasion assays were utilized to investigate the role of ITGB6, and ChIP-qPCR and dual-luciferase reporter experiments preliminarily analyzed the relationship between ETS proto-oncogene 1 (ETS1) and ITGB6. Bioinformatics analysis and rescue models were performed to explore the underlying mechanisms. The results demonstrated that ITGB6 was upregulated in NSCLC patients and the difference was even more pronounced in patients with poor prognosis. Functionally, acidity-induced ITGB6 promoted migration and invasion of NSCLC cells in vitro, and epithelial-mesenchymal transition (EMT) and focal adhesion were the important mechanisms responsible for ITGB6-involved metastasis. Mechanistically, we revealed ETS1 enriched in the ITGB6 promoter region and promoted transcription to triggered the activation of subsequent signaling pathways. Moreover, ChIP-qPCR and dual-luciferase reporter experiments demonstrated that ETS1 played an important role in directly mediating ITGB6 expression. Furthermore, we found ITGB6 was responsible for the acidic microenvironment-mediated migration and invasion processes in NSCLC by performing rescue experiments with ITGB6 knockdown. Our findings indicated acidic microenvironment directly induced ETS1 to regulate the expression of ITGB6, and then the highly expressed ITGB6 further mediate EMT and activates the downstream focal adhesion pathways, eventually promotes the invasion and migration in NSCLC progression and metastasis.

Kaempferol suppression of acute colitis is regulated by the efflux transporters BCRP and MRP2.

The bioavailability of most flavonoids is low but effective in vivo; however, the mechanism of the efficacy of flavonoids has not been elucidated. Kaempferol is typical flavonoids., preliminary research indicates that kaempferol has a significant anti-colon cancer and anti-inflammatory effect. We reported previously that the triple recycling pathways significantly increase the local bioavailability of flavonoids and prolong the residence time of flavonoids in the liver and intestines, which is likely the mode by which flavonoids exert local efficacy. Notably, Efflux transporters (ETs), such as Breast cancer resistance protein (BCRP) and Multi drug resistance-associated protein 2 (MRP2), are the main regulatory molecules of the enterohepatic triple recycling pathways. Thus, our current study explored the regulation of kaempferol by BCRP and MRP2 and the role of BCRP and MRP2 in the suppression of Dextran sulfate sodium (DSS)-induced colitis by kaempferol. Herein, four mouse model was constructed, and the Ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method was established to simultaneously quantify kaempferol and its 3 metabolites and investigate the oral pharmacokinetic characteristics and tissue distribution of these compounds. In Bcrp-/--Mrp2-/- mice, the movement of kaempferol via the enterohepatic triple recycling was blocked, and the preventative and therapeutic effects of this compound on acute colitis were inhibited. BCRP and MRP2 defects hindered the efflux of kaempferol and its phase II metabolites and increased the plasma levels. Our study revealed that the disposal of kaempferol was regulated by the ETs BCRP and MRP2, and most importantly, the results will help elucidate the mechanism by which kaempferol suppresses the transformation of colitis into colon cancer.

Combined Metabolomics with Transcriptomics Reveals Important Serum Biomarkers Correlated with Lung Cancer Proliferation through a Calcium Signaling Pathway.

Lung cancer (LC) is one of the most malignant cancers in the world, but currently, it lacks effective noninvasive biomarkers to assist its early diagnosis. Our study aims to discover potential serum diagnostic biomarkers for LC. In our study, untargeted serum metabolomics of a discovery cohort and targeted analysis of a test cohort were performed based on gas chromatography-mass spectrometry. Both univariate and multivariate statistical analyses were employed to screen for differential metabolites between LC and healthy control (HC), followed by the selection of candidate biomarkers through multiple algorithms. The results showed that 15 metabolites were significantly dysregulated between LC and HC, and a panel, comprising cholesterol, oleic acid, myo-inositol, 2-hydroxybutyric acid, and 4-hydroxybutyric acid, was demonstrated to have excellent differentiating capability for LC based on multiple classification modelings. In addition, the molecular interaction analysis combined with transcriptomics revealed a close correlation between the candidate biomarkers and LC proliferation via a Ca2+ signaling pathway. Our study discovered that cholesterol, oleic acid, myo-inositol, 2-hydroxybutyric acid, and 4-hydroxybutyric acid in combination could be a promising diagnostic biomarker for LC, and most importantly, our results will shed some light on the pathophysiological mechanism underlying LC to understand it deeply. The data that support the findings of this study are openly available in MetaboLights at https://www.ebi.ac.uk/metabolights/, reference number MTBLS1517.

Biomarker identification and pathway analysis of rheumatoid arthritis based on metabolomics in combination with ingenuity pathway analysis.

Rheumatoid arthritis (RA) is a common autoimmune and inflammatory disease worldwide, but understanding its pathogenesis is still limited. In this study, plasma untargeted metabolomics of a discovery cohort and targeted analysis of a verification cohort were performed by gas chromatograph mass spectrometry (GC/MS). Univariate and multivariate statistical analysis were utilized to reveal differential metabolites, followed by the construction of biomarker panel through random forest (RF) algorithm. The pathways involved in RA were enriched by differential metabolites using Ingenuity Pathway Analysis (IPA) suite. Untargeted metabolomics revealed eighteen significantly altered metabolites in RA. Among these metabolites, a three-metabolite marker panel consisting of L-cysteine, citric acid and L-glutamine was constructed, using random forest algorithm that could predict RA with high accuracy, sensitivity and specificity based on a multivariate exploratory receiver operator characteristic (ROC) curve analysis. The panel was further validated by support vector machine (SVM) and partial least squares discriminant analysis (PLS-DA) algorithms, and also verified with targeted metabolomics using a verification cohort. Additionally, the dysregulated taurine biosynthesis pathway in RA was revealed by an integrated analysis of metabolomics and transcriptomics. Our findings in this study not only provided a mechanism underlying RA pathogenesis, but also offered alternative therapeutic targets for RA.

GC-MS-based metabolomics reveals new biomarkers to assist the differentiation of prostate cancer and benign prostatic hyperplasia.

Lack of efficient noninvasive biomarkers for differentiating prostate cancer (PCa) and benign prostate hyperplasia (BPH) is a serious concern for men's health worldwide. In this study, we aimed to improve the diagnostic capability of the existing noninvasive biomarkers for PCa. GC-MS-based untargeted metabolomics was employed to analyze plasma samples for 41 PCa patients and 38 BPH controls. Both univariate and multivariate statistical analyses were performed to screen for differential metabolites between PCa and BPH, followed by the selection of potential biomarkers through machine learning. The chosen candidate biomarkers were then verified by targeted analysis and transcriptome data. The results showed that twelve metabolites were significantly dysregulated between PCa and BPH, three metabolites including L-serine, myo-inositol, and decanoic acid could be potential biomarkers for discriminating PCa from BPH. Most importantly, ROC curve analysis demonstrated that the involvement of the three potential biomarkers has increased the area under the curve (AUC) value of cPSA and tPSA from 0.542 and 0.592 to 0.781, respectively. Therefore, it was concluded that the involvement of L-serine, myo-inositol, and decanoic acid can largely improve the diagnostic capability of the commonly used noninvasive biomarkers in the clinic for differentiating PCa from BPH.

Systematic evaluation of sample preparation strategy for GC-MS-based plasma metabolomics and its application in osteoarthritis.

Sample preparation plays a crucial part in plasma metabolomics. In order to obtain an optimal sample extraction method for gas chromatography mass spectrometry (GC-MS)-based plasma metabolomics, five different extraction strategies including protein precipitation, liquid-liquid extraction and solid-phase extraction were evaluated systematically for both plasma untargeted- and targeted-metabolomics. The comprehensive evaluation revealed that the all-in-one sample preparation method, MeOH-MTBE-H2O (1:5:1.5, v/v/v), was the optimal extraction method for both untargeted- and targeted-metabolomics. Next, the optimal sample preparation protocol was applied in plasma metabolomics of osteoarthritis (OA). A panel containing cholesterol, lactic acid, stearic acid, alpha-tocopherol and oxalic acid was selected as candidate biomarker to distinguish OA patients from healthy controls (HC) based on the support vector machine (SVM) classification model. The discriminating capability of the candidate biomarker panel was further validated successfully with logistic regression and principal components analysis (PCA) analysis. Therefore, the panel could potentially act as diagnostic biomarker for osteoarthritis.

Integrated plasma and liver gas chromatography mass spectrometry and liquid chromatography mass spectrometry metabolomics to reveal physiological functions of sodium taurocholate cotransporting polypeptide (NTCP) with an Ntcp knockout mouse model.

Sodium taurocholate cotransporting polypeptide (NTCP) is an important hepatocyte transporter, while its physiological functions require further investigation. In our study, an integrated plasma and liver GC-MS- and LC-MS-based metabolomics strategy with an optimized two-step liquid-liquid extraction was utilized to explore the physiological functions of NTCP via a knockout (KO) mouse model. The present study found that NTCP deficiency resulted in obvious metabolic change in the plasma and liver of mice. Totally, 102 and 87 differential metabolites were discovered in the liver and plasma, respectively. Pathway analysis revealed that the metabolism of tyrosine, glycine, taurine, fatty acid and glycerophospholipid as well as the biosynthesis of tryptophan, pantothenate and CoA were significantly dysregulated in the Ntcp KO mice, indicating that NTCP is closely involved in these metabolic pathways. Moreover, L-tryptophan, cadaverine and D-pantothenic acid could serve as the diagnostic biomarker for NTCP deficiency. Our study provided deep insights into the physiological functions of NTCP, and the findings would hold the great potential to be used for the discovery of new therapeutic and diagnostic strategies for NTCP deficiency clinically.

Extensive evaluation of sample preparation workflow for gas chromatography-mass spectrometry-based plasma metabolomics and its application in rheumatoid arthritis.

GC-MS platform has been proved to be an important analytical technique for plasma metabolomics, but lack of efficient sample preparation strategies prior to sample injection has limited its wide application. In the present work, twenty two extraction protocols including protein precipitation (PPT), liquid-liquid extraction (LLE), solid-phase extraction (SPE) and ultrafiltration were simultaneously evaluated using non-spiked and metabolite standards spiked human plasma. Sample-to-extraction solvent ratio and metabolites derivatization conditions were also investigated and optimised. The results demonstrated that stepwise LLE protocol (MeOH-H2O/CHCl3/CHCl3-MeOH) was the most efficient extraction strategy for the combination of untargeted and targeted metabolomics. Sample-to-extraction solvent ratio of 1:3 (v:v) was found to perform better than higher solvent ratios. Also, the maximum derivatization performance was obtained when using 30 µL N-methyl-N-tri-methylsilyltrifluoroacetamide (MSTFA) and 1% trimethyl-chlorosilane (TMCS) incubated at 60 °C for 120 min. In the end, the optimised sample preparation method was applied successfully to plasma untargeted metabolomics of rheumatoid arthritis (RA) and four metabolites (gamma-butyrolactone, MG (0:0/18:0/0:0), tocopherol and oxalic acid) were found to be potential biomarkers for the diagnosis of RA.

Insight into osteoarthritis through integrative analysis of metabolomics and transcriptomics.

Lack of clinically specific biomarkers has impeded the diagnosis of osteoarthritis (OA) and limited understanding of pathogenesis for OA has also restrained the enhancement of therapeutic measures. In the study, plasma untargeted metabolomics of twelve OA patients and twenty healthy controls (HC) were analyzed by gas chromatography coupled with quadrupole time-of-flight mass spectrometry (GC/Q-TOF-MS). The differential metabolites (DMs) between OA and HC were evaluated by multivariate analysis and Bayes discriminant analysis was employed to discover potential diagnosis biomarkers. Meanwhile a transcriptomic dataset GSE55235 was downloaded from GEO database to explore the differentially expressed genes (DEGs) between OA and HC by R/Bioconductor project. Finally, an integrative analysis of DMs and DEGs was performed to investigate the possible molecular mechanisms of OA. As a result, a panel of three metabolites including succinic acid, xanthurenic acid and L-tryptophan was revealed to potentially act as biomarker for the diagnosis of OA. Furthermore, the integrated analysis of metabolomics and transcriptomics showed the top three enrichment in the T cell receptor signaling pathway, Fc epsilon RI (FcεRI) signaling pathway, and thermogenesis, explaining the inflammation, joint destruction and energy metabolism disorders in OA.

Omics Insights into Metabolic Stress and Resilience of Rats in Response to Short-term Fructose Overfeeding.

SCOPE: Considerable evidence supports the view that high-fructose intake is associated with increased and early incidence of obesity and dyslipidemia. However, knowledge on physiopathological alterations introduced by fructose overconsumption is lacking. Therefore, an integrated omics analysis is carried out to investigate the consequences of short-term fructose overfeeding (SFO) and identify the underlying molecular mechanisms. METHODS AND RESULTS: SFO of rats demonstrates obvious histopathological hepatic lipid accumulation and significant elevation in adiposity, total cholesterol, and fasting plasma glucose levels. Integrated omics analysis demonstrates that SFO disturbed metabolic homeostasis and initiated metabolic stress. Hepatic lipogenesis pathways are also negatively impacted by SFO. Analysis of molecular networks generated by ingenuity pathway analysis (IPA) implicates involvement of the extracellular signal regulated kinase (ERK) signaling pathway in SFO and its consequences. Moreover, it is identified that an inherent negative feedback regulation of hepatic sterol regulatory element binding protein 1 (SREBP1) plays an active role in regulating hepatic de novo lipogenesis. CONCLUSION: The findings indicate that SFO disturbs metabolic homeostasis and that endogenous small molecules positively mediate SFO-induced metabolic adaption. The results also underline that an inherent regulatory mechanism of resilience occurs in response to fructose overconsumption, suggesting that efforts to maintain resilience can be a promising target to prevent and treat metabolic disorder-like conditions.

Apigenin C-glycosides of Microcos paniculata protects lipopolysaccharide induced apoptosis and inflammation in acute lung injury through TLR4 signaling pathway.

Acute lung injury (ALI) and its more severe form acute respiratory distress syndrome (ARDS) are life-threatening conditions with high morbility and mortality, underscoring the urgent need for novel treatments. Leaves of the medicinal herb Microcos paniculata have been traditionally used for treating upper airway infections, by virtue of its content of flavonoids such as apigenin C-glycosides (ACGs). C-glycosides have been shown to exert strong anti-inflammatory properties, although their mechanism of action remains unknown. Herein, hypothesizing that ACGs from M. paniculata inhibit progression of ALI, we used the experimental model of lipopolysaccharide (LPS)-induced ALI in BALB/c mice to evaluate the therapeutic potential of purified ACGs. Our results showed that M. paniculata ACGs inhibited lung inflammation in animals undergoing ALI. The protective effects of ACGs were assessed by determination of cytokine levels and in situ analysis of lung inflammation. ACGs reduced the pulmonary edema and microvascular permeability, demonstrating a dose-dependent down-regulation of LPS-induced TNF-α, IL-6 and IL-1ß expression in lung tissue and bronchoalveolar lavage fluid, along with reduced apoptosis. Moreover, metabolic profiling of mice serum and subsequent Ingenuity Pathway Analysis suggested that ACGs activated protective protein networks and pathways involving inflammatory regulators and apoptosis-related factors, such as JNK, ERK1/2 and caspase-3/7, suggesting that ACGs-dependent effects were related to MAPKs and mitochondrial apoptosis pathways. These results were further supported by evaluation of protein expression, showing that ACGs blocked LPS-activated phosphorylation of p38, ERK1/2 and JNK on the MAPKs signaling, and significantly upregulated the expression of Bcl-2 whilst down-regulated Bax and cleaved caspase-3. Remarkably, ACGs inhibited the LPS-dependent TLR4 and TRPC6 upregulation observed during ALI. Our study shows for the first time that ACGs inhibit acute inflammation and apoptosis by suppressing activation of TLR4/TRPC6 signaling pathway in a murine model of ALI. Our findings provide new evidence for better understanding the anti-inflammatory effects of ACGs. In this regard, ACGs could be exploited in the development of novel therapeutics for ALI and ARDS.