scholarly journals Serum Metabolomic Profiling to Reveal Potential Biomarkers for the Diagnosis of Fatty Liver Hemorrhagic Syndrome in Laying Hens

2021 ◽  
Vol 12 ◽  
Author(s):  
Lianying Guo ◽  
Jun Kuang ◽  
Yu Zhuang ◽  
Jialin Jiang ◽  
Yan Shi ◽  
...  
Keyword(s):  
Fatty Liver ◽  
Clinical Diagnosis ◽  
Laying Hens ◽  
Roc Curves ◽  
High Energy ◽  
Flight Mass Spectrometry ◽  
Diagnostic Values ◽  
Potential Biomarkers ◽  
Tof Ms

Fatty liver hemorrhage syndrome (FLHS), a nutritional and metabolic disease that frequently occurs in laying hens, causes serious losses to the poultry industry. Nowadays, the traditional clinical diagnosis of FLHS still has its limitations. Therefore, searching for some metabolic biomarkers and elucidating the metabolic pathway in vivo are useful for the diagnosis and prevention of FLHS. In the present study, a model of FLHS in laying hens induced by feeding a high-energy, low-protein diet was established. Gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) was used to analyze the metabolites in serum at days 40 and 80. The result showed that, in total, 40 differential metabolites closely related to the occurrence and development of FLHS were screened and identified, which were mainly associated with lipid metabolism, amino acid metabolism, and energy metabolism pathway disorders. Further investigation of differential metabolites showed 10 potential biomarkers such as 3-hydroxybutyric acid, oleic acid, palmitoleic acid, and glutamate were possessed of high diagnostic values by analyzing receiver operating characteristic (ROC) curves. In conclusion, this study showed that the metabolomic method based on GC-TOF-MS can be used in the clinical diagnosis of FLHS in laying hens and provide potential biomarkers for early risk evaluation of FLHS and further insights into FLHS development.

scholarly journals Metabolomic Study on Nude Mice Models of Gastric Cancer Treated with Modified Si Jun Zi Tang via HILIC UHPLC-Q-TOF/MS Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Shanshan Nie ◽  
Yuhang Zhao ◽  
Xinjian Qiu ◽  
Wenbo Wang ◽  
Ye Yao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Nude Mice ◽  
Lactic Dehydrogenase ◽  
Tumour Volume ◽  
Ultra Performance Liquid Chromatography ◽  
Array Detector ◽  
Phosphocholine Cytidylyltransferase ◽  
Potential Biomarkers ◽  
Tof Ms

Recently, metabolomic methods have been used to explore the complex pathogenesis of cancer and the mechanism of action of traditional Chinese medicine (TCM) formulae. In this study, first, modified Si Jun Zi Tang (MSJZT) was prepared with strict quality control using the instrument method of ultra performance liquid chromatography and photodiode array detector (UPLC-PDA). Subsequently,in vivoexperiments with tumour-bearing nude mice demonstrated that MSJZT exerted good antitumour effects. MSJZT not only significantly increased mouse body weight but also shrank the tumour volume. Then, the HILIC UHPLC-Q-TOF/MS-based metabolomics approach was used for exploring the pathogenesis of gastric cancer and the molecular mechanism of MSJZT. A total of 59 potential biomarkers in plasma were identified, and 6 pathways were found to be disturbed in gastric cancer. In contrast, after 3 weeks of MSJZT intervention, 32 potential biomarkers were identified, and 4 altered pathways were detected. The changes in glycolytic, amino acid, and lipid metabolisms could be partially regulated by MSJZT through decreasing the content of lactic dehydrogenase (LDH), glutamine synthetase (GS), phosphocholine cytidylyltransferase (PCYT2) mRNA, and protein level. In conclusion, we established a HILIC UHPLC-Q-TOF/MS metabolomic analysis method to demonstrate a complex metabolic profile of gastric cancer. The disordered metabolism could be partially regulated by MSJZT. These findings not only establish a solid foundation for TCM to treat gastric cancer but also provide a basis for further exploration of the precise mechanism of MSJZT activity.

scholarly journals A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via GC-TOF/MS

2020 ◽  
Vol 11 ◽  
Author(s):  
Yujie Gong ◽  
Wentao Lyu ◽  
Xingfen Shi ◽  
Xiaoting Zou ◽  
Lizhi Lu ◽  
...  
Keyword(s):  
Fatty Liver ◽  
Metabolic Pathways ◽  
Liver Steatosis ◽  
Liver Weight ◽  
The Body ◽  
Flight Mass Spectrometry ◽  
Similar Weight ◽  
Underlying Mechanisms ◽  
Landes Geese ◽  
Tof Ms

During the process of fatty liver production by overfeeding, the levels of endogenous metabolites in the serum of geese would change dramatically. This study investigated the effects of overfeeding on serum metabolism of Landes geese and the underlying mechanisms using a metabolomics approach. Sixty Landes geese of the same age were randomly divided into the following three groups with 20 replicates in each group: D0 group (free from gavage); D7 group (overfeeding for 7 days); D25 group (overfeeding for 25 days). At the end of the experiment, 10 geese of similar weight from each group were selected for slaughter and sampling. The results showed that overfeeding significantly increased the body weight and the liver weight of geese. Serum enzymatic activities and serum lipid levels were significantly enhanced following overfeeding. Gas chromatography time-of-flight/mass spectrometry (GC-TOF/MS) was employed to explore the serum metabolic patterns, and to identify potential contributors to the formation of fatty liver and the correlated metabolic pathways. Relative to overfeeding for 7 days, a large number of endogenous molecules in serum of geese overfed for 25 days were altered. Continuous elevated levels of pyruvic acid, alanine, proline and beta-glycerophosphoric acid and reduced lactic acid level were observed in the serum of overfed geese. Pathway exploration found that the most of significantly different metabolites were involved in amino acids, carbohydrate and lipid metabolism. The present study exhibited the efficient capability of Landes geese to produce fatty liver, identified potential biomarkers and disturbed metabolic pathways in liver steatosis. These findings might reveal the underlying mechanisms of fatty liver formation and provide some theoretical basis for the diagnosis and treatment of liver diseases.

scholarly journals Putative CSF protein biomarker candidates for amnestic mild cognitive impairment

2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Scott Counts ◽  
Elliott Mufson
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Therapeutic Interventions ◽  
Braak Stage ◽  
Copper Binding ◽  
Flight Mass Spectrometry ◽  
Ms Analysis ◽  
Preclinical Ad ◽  
Potential Biomarkers ◽  
Tof Ms

AbstractThe identification of individuals at risk for Alzheimer’s disease (AD) is essential for the timely administration of treatment approaches aimed at slowing the onset or progression of the disease. As amnestic forms of mild cognitive impairment (aMCI) may represent preclinical AD, the search for specific diagnostic biomarkers that characterize those with aMCI is a key research objective. Using surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDITOF-MS), we screened the cerebrospinal fluid (CSF) of Religious Orders Study participants with a clinical diagnosis of no cognitive impairment (NCI), aMCI, or mild/moderate AD for potential biomarkers. CSF was fractionated on immobilized metal affinity chromatography (IMAC) protein arrays preloaded with either gallium (IMAC-Ga), which binds phosphoproteins, or copper (IMAC-Cu) to isolate copper-binding proteins. SELDI TOF-MS analysis of the IMAC-Ga arrays revealed a phosphopeptide of 2490 Da that was selectively increased ∼2-fold in aMCI and AD CSF compared to NCI. SELDI TOF-MS analysis of the IMAC-Cu arrays identified 2 proteins of 11.7 and 13.3 kDa that were both selectively increased ∼1.5–1.6-fold in aMCI and AD CSF. Increasing levels of each protein were associated with poorer performance on the Mini Mental State Exam and higher Braak stage. Hence, increased CSF levels of these proteins may be potential biomarkers for preclinical AD and aid in the development of a CSF biomarker panel with high predictive value for identifying people who would most benefit from early therapeutic interventions to modify disease progression.

scholarly journals Assessment Wine Aroma Persistence by Using an in Vivo PTR-ToF-MS Approach and Its Relationship with Salivary Parameters

Molecules ◽  
2019 ◽  
Vol 24 (7) ◽  
pp. 1277 ◽  
Author(s):  
Carolina Muñoz-González ◽  
Francis Canon ◽  
Gilles Feron ◽  
Elisabeth Guichard ◽  
Maria Pozo-Bayón
Keyword(s):  
Nasal Cavity ◽  
Salivary Flow ◽  
Proton Transfer Reaction ◽  
Total Protein Content ◽  
Wine Aroma ◽  
Flight Mass Spectrometry ◽  
Analytical Perspective ◽  
Positive Correlations ◽  
Tof Ms

To better understand wine aroma persistence, the nasal cavity of nine volunteers was monitored by Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS) after they rinsed their mouths with three rosé wines (one control and the same wine supplemented with two tannin extracts) during four minutes. Wines were aromatised with a mixture of five target aroma compounds. Results showed that wine aroma persistence was highly compound-dependent: while esters disappeared very fast, other compounds such as linalool remained in the oral cavity for longer times after wine expectoration. A low effect of tannins (at 50 mg/L) on nasal cavity parameters was observed, with the exception for the compound ethyl decanoate that was significantly higher released in the presence of tannins. Strong interindividual differences on aroma persistence were also found. Significant positive correlations with the salivary total protein content and negative with the salivary flow were observed for specific compounds. This work has studied for the first time in vivo wine aroma persistence in real time from an analytical perspective.

scholarly journals MALDI-TOF-MS Analysis in the Identification of Urine Proteomic Patterns of Gestational Trophoblastic Disease

Metabolites ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 30 ◽  
Author(s):  
Paulina Banach ◽  
Paweł Dereziński ◽  
Eliza Matuszewska ◽  
Jan Matysiak ◽  
Hubert Bochyński ◽  
...  
Keyword(s):  
Roc Curves ◽  
Gestational Trophoblastic Disease ◽  
Urine Samples ◽  
Maldi Tof Ms ◽  
Linear Mode ◽  
Trophoblastic Disease ◽  
Maldi Tof ◽  
Flight Mass Spectrometry ◽  
Pre Treatment ◽  
Tof Ms

Gestational trophoblastic disease (GTD) is a group of highly aggressive, rare tumors. Human chorionic gonadotropin is a common biomarker used in the diagnosis and monitoring of GTD. To improve our knowledge of the pathology of GTD, we performed protein-peptide profiling on the urine of patients affected with gestational trophoblastic neoplasm (GTN). We analyzed urine samples from patients diagnosed with GTN (n = 26) and from healthy pregnant and non-pregnant controls (n = 17) using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Ions were examined in a linear mode over a m/z range of 1000–10,000. All GTN urine samples were analyzed before and after treatment and compared with those of the controls. The statistical analyses included multivariate classification algorithms as well as ROC curves. Urine sample analyses revealed there were significant differences in the composition of the ions between the evaluated groups. Comparing the pre-treatment and group with the pregnant controls, we identified two discriminatory proteins: hemoglobin subunit α (m/z = 1951.81) and complement C4A (m/z = 1895.43). Then, comparing urine samples from the post-treatment cases with those from the non-pregnant controls, we identified the peptides uromodulin fragments (m/z = 1682.34 and 1913.54) and complement C4A (m/z = 1895.43).

scholarly journals Metabolic Profiling Analysis of Liver in Landes Geese During the Formation of Fatty Liver via GC-TOF/MS

2022 ◽  
Vol 12 ◽  
Author(s):  
Yuzhu Yu ◽  
Wentao Lyu ◽  
Zixian Fu ◽  
Qian Fan ◽  
Yingping Xiao ◽  
...  
Keyword(s):  
Fatty Liver ◽  
De Novo ◽  
Nucleotide Metabolism ◽  
Flight Mass Spectrometry ◽  
Metabolic Profiling Analysis ◽  
Lipid Metabolites ◽  
Underlying Mechanisms ◽  
Landes Geese ◽  
Methyl Phosphate ◽  
Tof Ms

Fatty liver production results from the process of overfeeding geese, inducing a dramatic increase in de novo liver lipogenesis. To investigate the alteration of liver metabolites by overfeeding, especially lipid metabolites, and the potential pathways causing these changes, 60 Landes geese at 65 days old were raised in three groups with 20 geese per group, namely, the D0 group (free from gavage), D7 group (overfeeding for 7 days), and D25 group (overfeeding for 25 days). At 90 days old, segments of liver tissue were collected from 10 geese of each group for gas chromatography time-of-flight/mass spectrometry (GC-TOF/MS) analysis. A large number of endogenous molecules in the livers of geese were altered dramatically by overfeeding. In the livers of overfed geese, the level of oleic acid was observed to continuously increase, while the levels of phenylalanine, methyl phosphate, sulfuric acid, and 3-hydroxybenzaldehyde were decreased. The most significantly different metabolites were enriched in amino acid, lipid, and nucleotide metabolism pathways. The present study further supports the idea that Landes geese efficiently produce fatty liver, and potential biomarkers and disturbed metabolic pathways during the process of forming fatty liver were identified. In conclusion, this study might provide some insights into the underlying mechanisms of fatty liver formation.

scholarly journals Metabolite Profiling of Meridianin C In Vivo of Rat by UHPLC/Q-TOF MS

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Guozhe Zhang ◽  
Linxia Xiao ◽  
Liang Qi
Keyword(s):  
High Performance ◽  
Kinase Inhibitor ◽  
Solid Phase ◽  
Extraction Methods ◽  
Mass Spectral Fragmentation ◽  
Mass Spectral ◽  
Flight Mass Spectrometry ◽  
Fragmentation Patterns ◽  
Tof Ms

Meridianin C (MC), as a marine alkaloid, is a potent protein kinase inhibitor which exhibits good anticancer activity. However, the in vivo metabolism of MC has not been described to date. In this study, an ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOF MS) method is employed to investigate the in vivo metabolites of MC in rats. Plasma, bile, urine, and feces are collected after a single oral dose of MC. Protein precipitation, solid phase extraction (SPE), and ultrasonic extraction methods are used to prepare samples. Based on the mass spectral fragmentation patterns, elution order, and retrieving literatures, a total of 13 metabolites of MC were detected and tentatively identified, utilizing MetaboLynx software. The metabolic pathways of MC in rats include N- or O-glucuronidation, O-sulfation, N-hydroxylation, dihydroxylation, and trihydroxylation. The relative content of the metabolites in each kinds of biological samples is also evaluated. This study will help to understand the in vivo properties of MC for the future usage.

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