Novel Deep Learning Network for Gait Recognition Using Multimodal Inertial Sensors.

Some recent studies use a convolutional neural network (CNN) or long short-term memory (LSTM) to extract gait features, but the methods based on the CNN and LSTM have a high loss rate of time-series and spatial information, respectively. Since gait has obvious time-series characteristics, while CNN only collects waveform characteristics, and only uses CNN for gait recognition, this leads to a certain lack of time-series characteristics. LSTM can collect time-series characteristics, but LSTM results in performance degradation when processing long sequences. However, using CNN can compress the length of feature vectors. In this paper, a sequential convolution LSTM network for gait recognition using multimodal wearable inertial sensors is proposed, which is called SConvLSTM. Based on 1D-CNN and a bidirectional LSTM network, the method can automatically extract features from the raw acceleration and gyroscope signals without a manual feature design. 1D-CNN is first used to extract the high-dimensional features of the inertial sensor signals. While retaining the time-series features of the data, the dimension of the features is expanded, and the length of the feature vectors is compressed. Then, the bidirectional LSTM network is used to extract the time-series features of the data. The proposed method uses fixed-length data frames as the input and does not require gait cycle detection, which avoids the impact of cycle detection errors on the recognition accuracy. We performed experiments on three public benchmark datasets: UCI-HAR, HuGaDB, and WISDM. The results show that SConvLSTM performs better than most of those reporting the best performance methods, at present, on the three datasets.

Targeted Metabolomics Reveals Birth Screening Biomarkers for Biliary Atresia in Dried Blood Spots.

Early diagnosis and timely surgical Kasai portoenterostomy greatly improve the survival of patients with biliary atresia (BA), a neonatal cholestatic disease, which has encouraged investigators to develop newborn screening for BA. In this study, we used ultraperformance liquid chromatography-triple quadrupole mass spectrometry-based targeted metabolomics profiling to identify potential BA biomarkers in dried blood spots (DBS) collected from BA patients (n = 21) and healthy controls (n = 100). A distinctive metabolic profile comprising eight significantly differentially expressed metabolites, taurohyocholic acid (THCA), glutamic acid, 2-hydroxyglutaric acid, ketoleucine, indoleacetic acid, alpha-ketoisovaleric acid, glycocholic acid, and taurocholic acid (TCA), clearly distinguished BA infants from control neonates. Three metabolites, THCA, 2-hydroxyglutaric acid, and indoleacetic acid, were selected using linear regression and receiver operating characteristic (ROC) curve analysis and model construction. The area under the ROC curve for this model to discriminate between BA and comparison infants was 0.938 (95% confidence interval, CI: 0.874-1.000). A cutoff value of -0.336 produced a sensitivity of 90.48% (95% CI: 69.62% - 98.83%) and specificity of 92% (95% CI: 84.84% - 96.48%). In conclusion, the results suggest that metabolic markers in DBS obtained from newborns have a great potential for BA screening.

Altered bile acid glycine : taurine ratio in the progression of chronic liver disease.

BACKGROUND AND AIM: The onset and progression of chronic liver disease (CLD) is a multistage process spanning years or several decades. Some bile acid (BA) features are identified as indicators for CLD progression. However, BAs are highly influenced by various factors and are stage and/or population specific. Emerging evidences demonstrated the association of structure of conjugated BAs and CLD progression. Here, we aimed to investigate the alteration of conjugated BAs and identify new features for CLD progression. METHODS: Based on liquid chromatography-mass spectrometry platform, 15 BAs were quantified in 1883 participants including healthy controls and CLD patients (non-alcoholic fatty liver [NAFL], non-alcoholic steatohepatitis [NASH], fibrosis, cirrhosis, and three types of liver cancer). Logistic regression was used to construct diagnostic models. Model performances were evaluated in discovery and test sets by area under the receiver operating characteristic curve, sensitivity, specificity, accuracy, and kappa index. RESULTS: Five BA glycine : taurine ratios were calculated, and glycocholic acid/taurocholic acid, glycodeoxycholic acid/taurodeoxycholic acid, and glycochenodeoxycholic acid/taurochenocholic acid were identified as candidates. Three diagnostic models were constructed for the differentiation of healthy control and early CLD (NAFL + NASH), early and advanced CLD (fibrosis + cirrhosis + liver cancer), and NAFL and NASH, respectively. The areas under the receiver operating characteristic curve of the models ranged from 0.91 to 0.97. The addition of age and gender improved model performances further. The alterations of the candidates and the performances of the diagnostic models were successfully validated by independent test sets (n = 291). CONCLUSIONS: Our findings revealed stage-specific BA perturbation patterns and provided new biomarkers and tools for the monitoring of liver disease progression.

FoxM1 Regulates Proliferation and Apoptosis of Human Neuroblastoma Cell through PI3K/AKT Pathway.

Aim: This study investigated the effect of FoxM1 on the biological behavior of neuroblastoma (NB) cells in vitro and the association between FoxM1 and PI3K/AKT pathways in NB cell lines. Materials and methods: Recombinant plasmid pcDNA3.1 (+)-FoxM1 and FoxM1-specific small interfering RNA (siRNA) were transfected into IMR-32 cells by liposome transfection. The expression of FoxM1, AKT and PI3K were determined by qRT-PCR and western blotting. The effect of FoxM1 and PI3K/AKT pathways on the cell cycles and apoptosis were analyzed by flow cytometry. Cell viability and proliferation ability were assessed by CCK8 and colony formation assay. Results: Knockdown of FoxM1 promoted NB cell apoptosis and G1-phase cell cycle arrest significantly, increased the expression of apoptosis-related proteins, and suppressed the phospho-activation of PI3K and AKT. Over-expression of FoxM1 had the opposite effects. Conclusion: FoxM1 knockdown inhibited NB cell proliferation and induced apoptosis through inhibiting activation of PI3K and AKT.

Bile Acid Profiles Are Distinct among Patients with Different Etiologies of Chronic Liver Disease.

A significant increase of bile acid (BA) levels has been recognized as a general metabolic phenotype of diverse liver diseases. Monitoring of BA profiles has been proposed for etiology differentiation on liver injury. Here, we quantitatively profiled serum BAs of healthy controls and 719 patients with chronic liver disease of five etiologies, hepatitis B virus (HBV), hepatitis C virus (HCV), nonalcoholic steatohepatitis (NASH), alcohol-induced liver disease (ALD), and primary biliary cirrhosis (PBC), and investigated the generality and specificity of different etiologies. The raw data have been deposited into MetaboLights (ID: MTBLS2459). We found that patients with HBV, HCV, and NASH appeared to be more similar, and ALD and PBC patients clustered together. BA profiles, consisting of a total concentration of the 21 quantified BAs [total BAs (TBAs)], 21 BA proportions, and 24 BA relevant variables, were highly different among the etiologies. Specifically, the total BAs was higher in ALD and PBC patients compared with the other three groups. The proportion of conjugated deoxycholates was the highest in HBV-infected patients. The ratio of 12α-hydroxylated (12α-OH) to non-12α-OH BAs was the highest in NASH patients. The proportion of taurine-conjugated BAs was the highest in ALD patients. For PBC patients, the proportion of ursodeoxycholate species was the highest, and the ratio of primary to secondary BAs was the lowest. Comparatively, the difference of BA profiles among cirrhosis patients was consistent but weaker than that of all patients. The correlations between BA profiles and clinical indices were also quite different in different pathological groups, both in all patients and in patients with cirrhosis. Overall, our findings suggested that BA compositions are distinct among patients with different etiologies of chronic liver disease, and some BA-relevant variables are of clinical potentials for liver injury type differentiation, although further validations on more etiologies and populations are needed.

A Metabolite Array Technology for Precision Medicine.

The application of metabolomics in translational research suffers from several technological bottlenecks, such as data reproducibility issues and the lack of standardization of sample profiling procedures. Here, we report an automated high-throughput metabolite array technology that can rapidly and quantitatively determine 324 metabolites including fatty acids, amino acids, organic acids, carbohydrates, and bile acids. Metabolite identification and quantification is achieved using the Targeted Metabolome Batch Quantification (TMBQ) software, the first cross-vendor data processing pipeline. A test of this metabolite array was performed by analyzing serum samples from patients with chronic liver disease (N = 1234). With high detection efficiency and sensitivity in serum, urine, feces, cell lysates, and liver tissue samples and suitable for different mass spectrometry systems, this metabolite array technology holds great potential for biomarker discovery and high throughput clinical testing. Additionally, data generated from such standardized procedures can be used to generate a clinical metabolomics database suitable for precision medicine in next-generation healthcare.

Dimethyl fumarate ameliorates endotoxin-induced acute kidney injury against macrophage oxidative stress.

BACKGROUND: Characterized by macrophage infiltration, renal inflammation during septic acute kidney injury (AKI) reveals a ubiquitous human health problem. Unfortunately, effective therapies with limited side effects are still lacking. This study is aiming to elucidate the role of Dimethyl fumarate (DMF) in macrophages against oxidative stress of septic AKI. METHODS: Balb/c mice were gavaged by 50 mg/kg DMF then injected with 10 mg/kg LPS by i.p. We examined LPS-induced renal dysfunction and histological features in murine kidneys. Raw264.7 macrophage cells were also treated with DMF and then induced by LPS. The mitotracker staining was used to follow mitochondria integrity by confocal microscopy. Flow cytometry measured the production of ROS by DCF-HDA and the expression of iNOS. Western blot detected the expression of Nrf-2 and Sirt1. Co-IP measured the interaction between Sirt1 and Nrf-2. Confocal microscopy observed the colocalization of Sirt1 and Nrf-2 in LPS-treated Raw264.7 macrophage cells. RESULTS: DMF ameliorated murine LPS nephritis with reduced blood urea nitrogen and serum creatinine, as well as decreased the histological alterations compared to the normal control. DMF significantly inhibited the expression of iNOS and reduced the production of nitrite in Raw264.7 cells following LPS treatment. Our study also revealed the role of DMF in protecting against intracellular ROS accumulation and mitochondria dysfunction in LPS-induced nephritis. DMF facilitated colocalization and interaction between Sirt1 and Nrf-2 in LPS-treated cells. CONCLUSIONS: This study showed that DMF alleviated LPS-induced nephritis, indicating protective effects of DMF on macrophage against oxidative stress induced by LPS potentially involving Nrf-2-mediated pathway.

IP4M: an integrated platform for mass spectrometry-based metabolomics data mining.

BACKGROUND: Metabolomics data analyses rely on the use of bioinformatics tools. Many integrated multi-functional tools have been developed for untargeted metabolomics data processing and have been widely used. More alternative platforms are expected for both basic and advanced users. RESULTS: Integrated mass spectrometry-based untargeted metabolomics data mining (IP4M) software was designed and developed. The IP4M, has 62 functions categorized into 8 modules, covering all the steps of metabolomics data mining, including raw data preprocessing (alignment, peak de-convolution, peak picking, and isotope filtering), peak annotation, peak table preprocessing, basic statistical description, classification and biomarker detection, correlation analysis, cluster and sub-cluster analysis, regression analysis, ROC analysis, pathway and enrichment analysis, and sample size and power analysis. Additionally, a KEGG-derived metabolic reaction database was embedded and a series of ratio variables (product/substrate) can be generated with enlarged information on enzyme activity. A new method, GRaMM, for correlation analysis between metabolome and microbiome data was also provided. IP4M provides both a number of parameters for customized and refined analysis (for expert users), as well as 4 simplified workflows with few key parameters (for beginners who are unfamiliar with computational metabolomics). The performance of IP4M was evaluated and compared with existing computational platforms using 2 data sets derived from standards mixture and 2 data sets derived from serum samples, from GC-MS and LC-MS respectively. CONCLUSION: IP4M is powerful, modularized, customizable and easy-to-use. It is a good choice for metabolomics data processing and analysis. Free versions for Windows, MAC OS, and Linux systems are provided.

Development and validation of bile acid profile-based scoring system for identification of biliary atresia: a prospective study.

BACKGROUND: Early distinguishing biliary atresia from other causes of infantile cholestasis remains a major challenge. We aimed to develop and validate a scoring system based on bile acid for identification of biliary atresia. METHODS: In a prospective study, a total of 141 infants with cholestasis were enrolled in two sets (derivation cohort, n = 66; validation cohort, n = 75) from 2014 to 2018. Variables with significant difference between biliary atresia and non-biliary atresia infants were selected in the derivation cohort. Then, a scoring system including those variables was designed and validated. RESULTS: Among 66 patients in the derivation cohort, 34 (51.5%) had biliary atresia. A scoring system was proposed with the following variables: glycochenodeoxycholic acid/chenodeoxycholic acid, clay stool, and gamma-glutamyl transferase. The total score ranged from 0 to 41, and a cutoff value of 15 identified biliary atresia with an area under receiver operating characteristic curve of 0.87 (95% confidence interval, 0.77-0.94), sensitivity of 85.3%, and specificity of 81.3% in the derivation cohort; these values were also confirmed in a validation cohort with a sensitivity of 90.0% and specificity of 80.0%. CONCLUSIONS: The proposed simple scoring system had good diagnostic accuracy for estimating the risk of biliary atresia in infants with cholestasis.

FXR agonist GW4064 improves liver and intestinal pathology and alters bile acid metabolism in rats undergoing small intestinal resection.

Mortality associated with liver disease has been observed in patients with short bowel syndrome (SBS); however, its mechanism remains unclear, but bile acid (BA) dysmetabolism has been proposed as a possible cause. The farnesoid X receptor (FXR) is the key regulator of BA synthesis. Here, we showed that, in a rat model of short bowel resection associated with liver disease (SBR-ALD), the BA composition of hepatic tissues reflected a larger proportion of primary and secondary unconjugated BAs, whereas that of the colon contents and serum showed an increased ratio of secondary unconjugated BAs. Both hepatic and intestinal regulation of BA synthesis was characterized by a blunted hepatic FXR activation response. The mRNA expression levels of cholesterol 7a-hydroxylase (CYP7A1), sterol 12a-hydroxylase (CYP8B1), and sterol 27 hydroxylase (CYP27A1), the key enzymes in BA synthesis, were upregulated. After intervention with the FXR agonist GW4064, both the liver histology and serum transaminase activity were improved, which demonstrated the attenuation of SBR-ALD. The BA compositions of hepatic tissue, the colon contents, and serum recovered and were closer to those of the sham group. The expression levels of hepatic FXR increased, and its target genes were activated. Consistent with this, the expression levels of CYP7A1, CYP8B1, and CYP27A1 were downregulated. Ileum tissue FXR and its target genes were slightly elevated. This study showed that the FXR agonist GW4064 could correct BA dysmetabolism to alleviate hepatotoxicity in SBR animals. GW4064 intervention resulted in a decrease in fecal bile excretion and elevated plasma/hepatic conjugated BA levels. GW4064 increased the reabsorption of conjugated BAs by inducing apical sodium-dependent bile salt transporter expression in the ileum. Concomitantly, FXR activation in the presence of GW4064 decreased BA production by repressing the expression of key synthetases, including CYP7A1, CYP8B1, and CYP27A1. These findings provide a clinical research direction for the prevention of liver disease in patients with SBS.NEW & NOTEWORTHY This study assessed the impact of treatment with GW4064, a farnesoid X receptor agonist, on the development of short bowel resection (SBR) associated with liver disease in a rat model of SBR. GW4064 was able to correct bile acid dysmetabolism and alleviate hepatotoxicity in SBR animals.

Food withdrawal alters the gut microbiota and metabolome in mice.

Food withdrawal as a health-enhancing measure has beneficial effects on aging, disease prevention, and treatment. However, the cellular and molecular mechanisms involving gut microbial changes and metabolic consequences resulting from food withdrawal have yet to be elucidated. In this study, we subjected lean and obese mice to a dietary intervention that consisted of a 4-d complete food withdrawal and an 8-d 50% food withdrawal, and we studied changes in cecal microbiome and host serum metabolome. The abundance of potentially pathogenic Proteobacteria was decreased and Akkermansia muciniphila was elevated by food withdrawal in mice fed a high-fat diet (HFD). Meanwhile, food withdrawal decreased the abundance of metabolites in branched chain amino acid, lipid, and free fatty acid metabolisms in host serum, more so in HFD mice than in normal mice. Microbial predicted function also showed that food withdrawal decreased the abundance of microbes associated with predicted diseases in the HFD group but not in the normal chow group. Correlation between the microbiome data and metabolomics data revealed a strong association between gut microbial and host metabolic changes in response to food withdrawal. In summary, our results showed that food withdrawal was safer and more metabolically beneficial to HFD-induced obese mice than to normal lean mice, and the beneficial effects were primarily derived from the changes in gut microbiota, which were closely associated with the host metabolome.-Zheng, X., Zhou, K., Zhang, Y., Han, X., Zhao, A., Liu, J., Qu, C., Ge, K., Huang, F., Hernandez, B., Yu, H., Panee, J., Chen, T., Jia, W., Jia, W. Food withdrawal alters the gut microbiota and metabolome in mice.

Butyrate stimulates the growth of human intestinal smooth muscle cells by activation of yes-associated protein.

Intestinal smooth muscle cells play a critical role in the remodeling of intestinal structure and functional adaptation after bowel resection. Recent studies have shown that supplementation of butyrate (Bu) contributes to the compensatory expansion of a muscular layer of the residual intestine in a rodent model of short-bowel syndrome (SBS). However, the underlying mechanism remains elusive. In this study, we found that the growth of human intestinal smooth muscle cells (HISMCs) was significantly stimulated by Bu via activation of Yes-Associated Protein (YAP). Incubation with 0.5 mM Bu induced a distinct proliferative effect on HISMCs, as indicated by the promotion of cell cycle progression and increased DNA replication. Notably, YAP silencing by RNA interference or its specific inhibitor significantly abolished the proliferative effect of Bu on HISMCs. Furthermore, Bu induced YAP expression and enhanced the translocation of YAP from the cytoplasm to the nucleus, which led to changes in the expression of mitogenesis genes, including TEAD1, TEAD4, CTGF, and Cyr61. These results provide evidence that Bu stimulates the growth of human intestinal muscle cells by activation of YAP, which may be a potential treatment for improving intestinal adaptation.

Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure.

Arsenic (+3 oxidation state) methyltransferase (As3mt) is the key enzyme in the pathway for methylation of inorganic arsenic (iAs). Altered As3mt expression and AS3MT polymorphism have been linked to changes in iAs metabolism and in susceptibility to iAs toxicity in laboratory models and in humans. As3mt-knockout mice have been used to study the association between iAs metabolism and adverse effects of iAs exposure. However, little is known about systemic changes in metabolism of these mice and how these changes lead to their increased susceptibility to iAs toxicity. Here, we compared plasma and urinary metabolomes of male and female wild-type (WT) and As3mt-KO (KO) C57BL/6 mice and examined metabolomic shifts associated with iAs exposure in drinking water. Surprisingly, exposure to 1 ppm As elicited only small changes in the metabolite profiles of either WT or KO mice. In contrast, comparisons of KO mice with WT mice revealed significant differences in plasma and urinary metabolites associated with lipid (phosphatidylcholines, cytidine, acyl-carnitine), amino acid (hippuric acid, acetylglycine, urea), and carbohydrate (L-sorbose, galactonic acid, gluconic acid) metabolism. Notably, most of these differences were sex specific. Sex-specific differences were also found between WT and KO mice in plasma triglyceride and lipoprotein cholesterol levels. Some of the differentially changed metabolites (phosphatidylcholines, carnosine, and sarcosine) are substrates or products of reactions catalyzed by other methyltransferases. These results suggest that As3mt KO alters major metabolic pathways in a sex-specific manner, independent of iAs treatment, and that As3mt may be involved in other cellular processes beyond iAs methylation.

Contribution of Common Variants in GABRG2, RELN and NRG3 and Interaction Networks to the Risk of Hirschsprung Disease.

BACKGROUND: Hirschsprung disease (HSCR) is a complex and heterogeneous disorder, characterized by a deficit in enteric nervous system. Genome-wide studies implied GABRG2, RELN and NRG3 might be involved in HSCR etiology. Here, we aimed to assess genetic variants in GABRG2, RELN and NRG3 that may confer susceptibility to HSCR and explore genetic interaction networks in HSCR. METHODS: Using a strategy that combined case-control study and gene-gene interaction analysis with the MassArray system, we evaluated 24 polymorphisms within GABRG2, RELN and NRG3 in 104 HSCR cases and 151 normal controls of Han Chinese origin. RESULTS: We observed that seven polymorphisms showed statistically significant differences between HSCR subjects and normal controls. For each of the three genes, the haplotypes which combined eight markers were the most significant. Moreover, we recruited SNPsyn, GO enrichment and MDR analyses to interrogate the interactions among GABRG2, RELN, NRG3 and our previous identified PTCH1 gene. Significant interaction networks were found among GABRG2, RELN, and PTCH1. CONCLUSION: We provide a first indication that common variants of GABRG2, RELN and NRG3 and the GABRG2-RELN-PTCH1 interaction networks might confer altered susceptibility to HSCR in the Han Chinese population, suggesting a potential mechanism underlying HSCR pathogenesis.

Soybean Oil-Based Lipid Emulsion Increases Intestinal Permeability of Lipopolysaccharide in Caco-2 Cells by Downregulation of P-Glycoprotein via ERK-FOXO 3a Pathway.

BACKGROUND AND AIMS: Elevated intestinal permeability of lipopolysaccharide (LPS) is a major complication for patients with parenteral nutrition (PN), but the pathogenesis is poorly understood. Intestinal P-glycoprotein (P-gp) is one of the efflux transporters that contribute to restricting the permeability of lipopolysaccharide via transcellular route. P-gp expression may be regulated by PN ingredients, and thus this study sought to investigate the effect of PN on the expression of P-gp and to elucidate the underlying mechanism in vitro. METHODS: Caco-2 cells were treated with PN ingredients. Changes in P-gp expression and function were determined and the role of ERK-FOXO 3a pathway was studied. Transport studies of FITC-lipopolysaccharide (FITC-LPS) across Caco-2 cell monolayers were also performed. RESULTS: Among PN ingredients, soybean oil-based lipid emulsion (SOLE) exhibited significant inhibitory effect on P-gp expression and function. This regulation was mediated via activation of ERK pathway with subsequent nuclear exclusion of FOXO 3a. Importantly, P-gp participated in antagonizing the permeation of FITC-LPS (apical to basolateral) across Caco-2 cell monolayers. SOLE significantly increased the permeability of FITC-LPS (apical to basolateral), which was associated with impaired P-gp function. CONCLUSIONS: The expression and function of intestinal P-gp is suppressed by SOLE in vitro.

Distinct Plasma Bile Acid Profiles of Biliary Atresia and Neonatal Hepatitis Syndrome.

Biliary atresia (BA) is a severe chronic cholestasis disorder of infants that leads to death if not treated on time. Neonatal hepatitis syndrome (NHS) is another leading cause of neonatal cholestasis confounding the diagnosis of BA. Recent studies indicate that altered bile acid metabolism is closely associated with liver injury and cholestasis. In this study, we systematically measured the bile acid metabolome in plasma of BA, NHS, and healthy controls. Liver bile acids were also measured using biopsy samples from 48 BA and 16 NHS infants undergoing operative cholangiography as well as 5 normal adjacent nontumor liver tissues taken from hepatoblastoma patients as controls. Both BA and NHS samples had significantly elevated bile acid levels in plasma compared to normal controls. BA patients showed a distinct bile acid profile characterized by the higher taurochenodeoxycholic acid (TCDCA) level and lower chenodeoxycholic acid (CDCA) level than those in NHS patients. The ratio of TCDCA to CDCA in plasma was significantly higher in BA compared to healthy infants (p < 0.001) or NHS (p < 0.001). The area under receiver operating characteristic curve for TCDCA/CDCA to differentiate BA from NHS was 0.923 (95% CI: 0.862-0.984). These findings were supported by significantly altered expression levels of bile acid transporters and nuclear receptors in liver including farnesoid X receptor (FXR), small heterodimer partner (SHP), bile salt export pump (BSEP), and multidrug resistant protein 3 (MDR3) in BA compared to NHS. Taken together, the plasma bile acid profiles are distinct in BA, NHS, and normal infants, as characterized by the ratio of TCDCA/CDCA differentially distributed among the three groups of infants.

Metabonomics reveals metabolite changes in biliary atresia infants.

Biliary atresia (BA) is a rare neonatal cholestatic disorder caused by obstruction of extra- and intra-hepatic bile ducts. If untreated, progressive liver cirrhosis will lead to death within 2 years. Early diagnosis and operation improve the outcome significantly. Infants with neonatal hepatitis syndrome (NHS) present similar symptoms, confounding the early diagnosis of BA. The lack of noninvasive diagnostic methods to differentiate BA from NHS greatly delays the surgery of BA infants, thus deteriorating the outcome. Here we performed a metabolomics study in plasma of BA, NHS, and healthy infants using gas chromatography-time-of-flight mass spectrometry. Scores plots of orthogonal partial least-squares discriminant analysis clearly separated BA from NHS and healthy infants. Eighteen metabolites were found to be differentially expressed between BA and NHS, among which seven (l-glutamic acid, l-ornithine, l-isoleucine, l-lysine, l-valine, l-tryptophan, and l-serine) were amino acids. The altered amino acids were quantitatively verified using ultraperformance liquid chromatography-tandem mass spectrometry. Ingenuity pathway analysis revealed the network of "Cellular Function and Maintenance, Hepatic System Development and Function, Neurological Disease" was altered most significantly. This study suggests that plasma metabolic profiling has great potential in differentiating BA from NHS, and amino acid metabolism is significantly different between the two diseases.

Low doses of CMV induce autoimmune-mediated and inflammatory responses in bile duct epithelia of regulatory T cell-depleted neonatal mice.

Recent studies have indicated that perinatal infection with cytomegalovirus (CMV) may promote bile duct damage in biliary atresia (BA) and that the decreased regulatory T cell (Treg) percentage associated with BA may further amplify the bile duct damage. Although a majority of BA patients have had previous CMV infections and lower percentages of Tregs, it is unknown whether an initial exposure to a low dose of CMV could induce exaggerated and progressive biliary injury. A Treg-depleted neonatal mouse was infected with low-dose CMV (LD-CMV) as a model to study BA patients. LD-CMV infection in Treg-depleted mice induced extensive inflammation in both the intrahepatic and extrahepatic bile ducts, accompanied with injury to and atresia of intrahepatic bile ducts and partial obstruction of the extrahepatic bile ducts. Serum total and direct bilirubin amounts were also elevated. Evidence for the involvement of cellular and humoral autoimmune responses in LD-CMV-infection of Treg-depleted mice was also obtained through detection of increased percentages of CD3 and CD8 mononuclear cells and serum autoantibodies reactive to bile duct epithelial proteins, one of which was identified as α-enolase. Depletion of Tregs that can lead to the decreased inhibition of aberrantly activated hepatic T-lymphocytes and generation of autoantibodies may lead to further injury. Increased hepatic expression of Th1-related genes (TNF-α), IFN-γ-activated genes (STAT-1) and Th1 cytokines (TNF-α, lymphotactin, IL-12p40 and MIP -1γ) were also identified. In conclusion, autoimmune-mediated and inflammatory responses induced by LD-CMV infection in Treg-depleted mice results in increased intrahepatic and extrahepatic bile duct injury and contributed to disease progression.

Dysregulated miR-124 and miR-200 expression contribute to cholangiocyte proliferation in the cholestatic liver by targeting IL-6/STAT3 signalling.

BACKGROUND & AIMS: Cholestatic liver disease is associated with dysregulated expression of microRNAs (miRNAs). However, it remains unknown whether miRNAs are involved in the cholestasis-induced proliferation of cholangiocytes. In this study, we tested the hypothesis that miRNAs modulate cholangiocyte proliferation through effects on the IL-6 pathway, a known regulator of cholangiocyte proliferation. METHODS: Expression of IL-6, Foxa2, and phosphorylated signal transducer activator of transcription 3 (STAT3) was investigated in patients with biliary atresia (BA) and in rats subjected to bile duct ligation (BDL). miRNA expression was determined in BA patients and BDL rats, with miRNA array and quantitative real-time PCR. Biological functions of miRNAs were studied using immunoblot, immunohistochemical and proliferation assays. Luciferase reporter assays and Western blots were performed to identify miRNA targets. RESULTS: Hepatic interleukin-6 (IL-6) expression was significantly elevated in BA patients and BDL rats, while the expression of miR-124 was dramatically decreased in comparison to controls. Moreover, mRNA levels of STAT3 and IL-6 receptor (IL-6R) were inversely correlated with those of miR-124. Ectopic expression of miR-124 inhibited IL-6-mediated cholangiocyte proliferation in vitro and cholangiocyte hyperplasia in vivo, through a mechanism involving direct targeting of the 3'-untranslated region of STAT3 and IL-6R. We further demonstrated that miR-200 family members were significantly upregulated in cholestasis and inhibited FOXA2 expression in cholangiocytes, which further enhanced the expression of IL-6. CONCLUSIONS: Our findings suggest that downregulation of miR-124 and upregulation of miR-200 collaboratively promote bile duct proliferation through the IL-6/STAT3 pathway.

The expression of epithelial-mesenchymal transition-related proteins in biliary epithelial cells is associated with liver fibrosis in biliary atresia.

BACKGROUND: The epithelial-mesenchymal transition (EMT) has been implicated as a key mechanism in the pathogenesis of liver fibrosis. The miR-200 family has been shown to inhibit EMT. METHODS: Liver fibrosis levels were assessed with Masson's trichrome staining of liver samples obtained from biliary atresia (BA) patients. The expressions of cytokeratin-7 (CK-7) and α-smooth muscle actin (α-SMA) in the liver sections were detected by immunohistochemical and immunofluorescent staining. EMTs were induced by transforming growth factor (TGF)-ß1 in human biliary epithelial cells (BECs) in vitro. RESULTS: We showed that the EMT-related proteins CK-7 and α-SMA colocalized to the intrahepatic BECs in the liver sections of patients with BA. The level of α-SMA expression was related to liver fibrosis stage in BA. EMT in primary human intrahepatic BECs was induced by TGF-ß1 in vitro. miR-200b is one member of the miR-200 family and significantly inhibited TGF-ß1-mediated EMT in BECs. CONCLUSION: Together, these data suggest that the occurrence of EMT in BECs might contribute to BA fibrosis. miR-200b significantly affects the development and progression of TGF-ß1-dependent EMT and fibrosis in vitro.