Metabolomics Reveals Novel Serum Metabolic Signatures in Gastric Cancer by a Mass Spectrometry Platform.

Gastric cancer (GAS) is one of the malignant tumors of the gastrointestinal system. Alterations in metabolite composition can reflect pathological processes of GAS and constitute a basis for diagnosis and treatment improvements. In this study, a total of 301 serum samples from 150 GAS patients at different tumor-node-metastasis (TNM) stages and 151 healthy controls were collected. Mass spectrometry platforms were performed to investigate the changes in GAS-related metabolites and explore the new potential serum biomarkers and the metabolic dysregulation associated with GAS progression. Twelve differential metabolites (ethyl 2,4-dimethyl-1,3-dioxolane-2-acetate, D-urobilinogen, 14-HDoHE, 13-hydroxy-9-methoxy-10-oxo-11-octadecenoic acid, 5,6-dihydroxyprostaglandin F1a, 9'-carboxy-gamma-tocotrienol, glutaric acid, alanine, tyrosine, C18:2(FFA), adipic acid, and suberic acid) were identified to establish the diagnosis model for GAS. The defined biomarker panel was also statistically significant for GAS progression with different TNM stages. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment revealed the metabolic dysregulation associated with GAS progression. In conclusion, a diagnostic panel was established and validated, which could be used to further stage the early and advanced GAS patients from healthy controls. These findings may provide useful information for explaining the GAS metabolic alterations and try to facilitate the characterization of GAS patients in the early stage.

A multi-platform metabolomics reveals possible biomarkers for the early-stage esophageal squamous cell carcinoma.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent types of upper gastrointestinal malignancies. This work aimed to identify potential biomarkers for early screening for ESCC and characterize the systemic metabolic disturbances underlying ESCC using multi-platform metabolomics analysis. METHODS: We divided 239 patients (the early-stage ESCC patients, n = 132; Healthy controls, n = 107) into discovery and validation sets after matching age and sex. Integrated statistical and multi-platform serum metabolomics analyses were used to screen and validate significant metabolites linked to ESCC patients. RESULTS: Multi-platform metabolomics analyses showed that amino acid and lipid metabolism were crucial in the etiology of ESCC. Five metabolites, tryptophan (Trp), citrulline, l-carnitine, lysine, and acetyl-carnitine, were selected as potential biomarkers to establish a diagnosis panel, which showed high accuracy in distinguishing ESCC patients from healthy controls (area under the receiver operating characteristic curve, 0.873, 95% confidence interval [CI]: 0.825-0.925). CONCLUSIONS: This work laid the groundwork for understanding the etiology of ESCC. The diagnostic panel showed potential usefulness in early-stage ESCC diagnosis in clinical practice.

Serum metabolite signatures of epithelial ovarian cancer based on targeted metabolomics.

BACKGROUND: Epithelial ovarian cancer (EOC) is a common gynecological cancer with high mortality rates. The main objective of this study was to investigate the serum amino acid and organic acid profiles to distinguish key metabolites for screening EOC patients. METHODS: In total, 39 patients with EOC and 31 healthy controls were selected as the training set. Serum amino acid and organic acid profiles were determined using the targeted metabolomics approach. Metabolite profiles were processed via multivariate analysis to identify potential metabolites and construct a metabolic network. Finally, a test dataset derived from 29 patients and 28 healthy controls was constructed to validate the potential metabolites. RESULTS: Distinct amino acid and organic acid profiles were obtained between EOC and healthy control groups. Methionine, glutamine, asparagine, glutamic acid and glycolic acid were identified as potential metabolites to distinguish EOC from control samples. The areas under the curve for methionine, glutamine, asparagine, glutamic acid and glycolic acid were 0.775, 0 778, 0.955, 0.874 and 0.897, respectively, in the validation study. Metabolic network analysis of the training set indicated key roles of alanine, aspartate and glutamate metabolism as well as D-glutamine and D-glutamate metabolism in the pathogenesis of EOC. CONCLUSIONS: Amino acid and organic acid profiles may serve as potential screening tools for EOC. Data from this study provide useful information to bridge gaps in the understanding of the amino acid and organic acid alterations associated with epithelial ovarian cancer.

Listeriosis Cases and Genetic Diversity of Their L. monocytogenes Isolates in China, 2008-2019.

Listeriosis, caused by Listeria monocytogenes, is a severe food-borne infection. The nationwide surveillance in China concerning listeriosis is urgently needed. In the present study, 144 L. monocytogenes isolates were collected from the samples of blood, cerebrospinal fluid (CSF), and fetal membrane/placenta in China for 12 years from 2008 to 2019. We summarized these listeriosis patients' demographical and clinical features and outcomes. The susceptibility profile for 12 antibiotics was also determined by the broth microdilution method. Multilocus sequence typing (MLST) and serogroups of these listeria isolates were analyzed to designate epidemiological types. We enrolled 144 cases from 29 healthcare centers, including 96 maternal-neonatal infections, 33 cases of bacteremia, 13 cases of neurolisteriosis, and two cutaneous listeriosis. There were 31 (59.6%) fetal loss in 52 pregnant women and four (9.8%) neonatal death in 41 newborns. Among the 48 nonmaternal-neonatal cases, 12.5% (6/48) died, 41.7% (20/48) were female, and 64.6% (31/48) occurred in those with significant comorbidities. By MLST, the strains were distinguished into 23 individual sequence types (STs). The most prevalent ST was ST87 (49 isolates, 34.0%), followed by ST1 (18, 12.5%), ST8 (10, 6.9%), ST619 (9, 6.3%), ST7 (7, 4.9%) and ST3 (7, 4.9%). Furthermore, all L. monocytogenes isolates were uniformly susceptible to penicillin, ampicillin, and meropenem. In summary, our study highlights a high genotypic diversity of L. monocytogenes strains causing clinical listeriosis in China. Furthermore, a high prevalence of ST87 and ST1 in the listeriosis should be noted.

Taurine, glutamic acid and ethylmalonic acid as important metabolites for detecting human breast cancer based on the targeted metabolomics.

BACKGROUND: This study investigated the use of serum amino acids and organic acids profiles as the novel metabolites for screening breast cancer (BC) patients. METHODS: A total of 116 subjects as training set were divided into the following three groups: BC patients (n= 34), benign (BE) patients (n= 38) and controls (n= 44). The amino acids profiles from three groups were measured using liquid chromatography-mass spectrometry and organic acids profiles in three groups were studied by gas chromatography-mass spectrometry. The resultant study data set was subjected to multivariate statistical analysis to identify important metabolites related with BC and construct the criteria for discriminating BC patients from BE subjects or controls. A test data set derived from 60 patients (30 BC and 30 BE subjects) and 30 controls was used to validate the stability of the different metabolites. RESULTS: The serum amino acids and organic acids profiles significantly differed between the BC patients, BE patients and the controls. Our results demonstrate that combinations of three candidate metabolites from taurine, glutamic acid and ethylmalonic acid were found to mirror tumour burden, with AUC values ranging from 0.751 to 0.834 when comparing BC patients to the controls. The areas under the curve from the taurine, glutamic acid and ethylmalonic acid in validated study were 0.901, 0.924 and 0.749, respectively. CONCLUSIONS: This study shows that amino acids and organic acids profiles will be a potential screening tool for BC patients. The dysregulated metabolism of amino acids and organic acids in breast cancer might be useful for the diagnosis, therapy, prognosis and understanding the pathogenesis of breast cancer.

Saturated fatty acids as possible important metabolites for epithelial ovarian cancer based on the free and esterified fatty acid profiles determined by GC-MS analysis.

AIMS: The aims were to investigate the serum free fatty acid (FFA) and esterified fatty acid (EFA) profiles and to identify biomarkers that can be used to identify patients with epithelial ovarian cancer (EOC) based on the metabolomics approach. METHODS: We applied a targeted gas chromatography-mass spectrometry metabolomics approach to serum samples from 40 EOC patients and 35 healthy controls for achieving the FFA and EFA profiles. These metabolite profiles were processed using multivariate analysis to obtain potential biomarkers. And then, some independent samples were chosen to validate these potential biomarkers. RESULTS: There were higher saturated fatty acids and lower unsaturated fatty acids in EOC patients when compared with the healthy controls. EFA (C16:0), EFA (C18:0) and FFA (C16:0) were identified as potential biomarkers that distinguished EOC from the healthy controls. The areas under the curve from the EFA (C16:0), EFA (C18:0) and FFA (C16:0) in validated study were 0.745, 0.701, 0.682, respectively. CONCLUSION: Our study provides useful information to bridge the gaps in our understanding to the fatty acids metabolic alterations associated with EOC, and this study has demonstrated saturated fatty acid biomarkers might be helpful for the detection and characterization of EOC patients.

Effect of trichostatin a on SGC-7901 gastric cancer cells.

AIM: To explore Trichostatin A (TSA) effect on SGC-7901 gastric cancer cells. METHODS: MTT, fluorescence microscopy, and flow cytometry were used to assess TSA effect on cell growth and apoptosis in SGC-7901. Immunocytochemistry was used to evaluate the expression of acetylated histone H4 in SGC-7901 cells.Gene expression profile was determined by microarray assays. Glycoprotein hormones alpha subunit (CGA) gene and protein expressions in SGC-7901 cells were evaluated by Real-time PCR and Western blot, respectively. In addition, CGA protein levels in gastric adenocarcinoma and normal adjacent tissues were assessed by immunohistochemistry. RESULTS: TSA inhibited SGC-7901 cell growth. In addition, cell proliferation was significantly decreased (P = 0.02) in TSA treatment groups (0.93 ± 0.07) compared with controls (1.15 ± 0.07). Apoptosis related morphological changes, including nuclear chromatin condensation and fluorescence strength, were observed by fluorescence microscopy. These findings corroborated the increased expression of acetylated histone H4 observed in TSA treated cells compared to controls, as determined by immunocytochemistry. Interestingly, treatment of SGC-7901 cells with TSA (75 ng/ml) resulted in CGA gene down-regulation (P = 0.0381). Accordingly, CGA protein levels were decreased in TSA treated SGC-7901 cells. Finally, immunohistochemistry analysis showed that CGA expression was significantly higher in gastric adenocarcinoma tissues than normal adjacent tissues (P = 0.001). CONCLUSION: TSA induces cell apoptosis and increases the levels of acetylated histone H4 in SGC-7901 cells. In addition, TSA treatment decreases the expression in gastric cancer cells of the CGA gene, which is upregulated in gastric adenocarcinoma tissues.

Identification of possible biomarkers for breast cancer from free fatty acid profiles determined by GC-MS and multivariate statistical analysis.

OBJECTIVES: The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls. DESIGN AND METHODS: A total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography-mass spectrometry coupled with multivariate statistical analysis. RESULTS: Three saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups. CONCLUSION: The alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients.

A selenium-containing single-chain abzyme with potent antioxidant activity.

Reactive oxygen species (ROS) are products of normal metabolic activities and are thought to be the cause of many diseases. A selenium-containing single-chain abzyme 2F3 (Se-2F3-scFv) that imitates glutathione peroxidase has been produced which has the capacity to remove ROS. To evaluate the antioxidant ability of Se-2F3-scFv, we constructed a ferrous sulfate/ascorbate (Vc/Fe2+)-induced mitochondrial damage model system and investigated the capacity of Se-2F3-scFv to protect mitochondria from oxidative damage. Se-2F3-scFv markedly decreased mitochondrial swelling, inhibited lipid peroxidation, and maintained the activity of cytochrome c oxidase, in comparison with Ebselen, a well-studied glutathione peroxidase mimic, indicating that Se-2F3-scFv has potential for treating diseases mediated by ROS.

Molecular cloning and sequence analysis of ussurin, a new metalloproteinases/disintegrin from Gloydius ussuriensis.

The metalloproteinases/disintegrins in the snake venom act as platelet aggregation inhibitor by an antagonism against integrin on platelet through its RGD sequence and may play other important role in cell-cell fusion, cell matrix interaction and other cellular function. Ussurin is a new metalloproteinase/disintegrin that was cloned from Gloydius ussuriensis. Poly (A+) RNA was purified from the total RNA preparation from venom gland of a single G. ussuriensis using the poly (A+) tract-mRNA isolation system. A cDNA library was constructed with the SMART PCR cDNA library construction kit. The cDNA library was screened and the positive clones were selected. The full-length cDNA of Ussurin was obtained. The cDNA encoding the Ussurin precursor has a 51bp 5'-UTR, the open reading frame of Ussurin and a 490 bp 3'-UTR, the open reading frame of Ussurin cDNA nucleotide sequence is 1434 bp and codes for 478 amino acids with a predicted molecular mass of 53.2 kD and an isoelectric point of 5.37. There is no potential N-glycosylation site in the deduced sequence region. Its deduced amino acid sequence consists of four region, a signal sequence of 18 amino acid residues, a zymogen pro-peptide of 171 amino acid residues with a cysteine switch motif (PK-MCGVT) in it, a central metalloproteinase domain of 201 amino acid residues containing a conserved zinc-chelating sequence (HEXXHXXGXXH) and a methionine-turn CIM involving zinc banding also, a space sequence between metalloproteinase domain and disintegrin domain of 15 amino acid residues with a conserved T392, T397, S400, which is specific residues of the P-II snake venom metalloproteinases, a disintegrin domain of 73 amino acid residues with a characteristic RGD region and six-disulfide bonds. Ussurin belongs to P-II class. The cDNA sequence and deduced amino acid sequence of Ussurin precursor were compared with homologous sequence in the GenBank database, the result reveals high degree of homology in sequence and organization pattern of domain with metalloproteinase/disintegrin gene family of other snake species. Compared with the alignment of amino acid sequence of metalloproteinase/disintegrin member, hypervariable regions of this member were revealed, besides they share higher homologous in the zymogen domain. It suggests that the hypervariable regions are the counterparts directly suitable for interacting with different domain of receptors, different receptors or substrates.