Naoya Hatano

A metabolomic approach to lung cancer

Lung cancer is one of the most common cancers in the world, but no good clinical markers that can be used to diagnose the disease at an early stage and predict its prognosis have been found. Therefore, the discovery of novel clinical markers is required. In this study, metabolomic analysis of lung cancer patients was performed using gas chromatography mass spectrometry. Serum samples from 29 healthy volunteers and 33 lung cancer patients with adenocarcinoma (n=12), squamous cell carcinoma (n=11), or small cell carcinoma (n=10) ranging from stage I to stage IV disease and lung tissue samples from 7 lung cancer patients including the tumor tissue and its surrounding normal tissue were used. A total of 58 metabolites (57 individual metabolites) were detected in serum, and 71 metabolites were detected in the lung tissue. The levels of 23 of the 58 serum metabolites were significantly changed in all lung cancer patients compared with healthy volunteers, and the levels of 48 of the 71 metabolites were significantly changed in the tumor tissue compared with the non-tumor tissue. Partial least squares discriminant analysis, which is a form of multiple classification analysis, was performed using the serum sample data, and metabolites that had characteristic alterations in each histological subtype and disease stage were determined. Our results demonstrate that changes in metabolite pattern are useful for assessing the clinical characteristics of lung cancer. Our results will hopefully lead to the establishment of novel diagnostic tools.

Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer.

Conventional tumor markers are unsuitable for detecting carcinoma at an early stage and lack clinical efficacy and utility. In this study, we attempted to investigate the differences in serum metabolite profiles of gastrointestinal cancers and healthy volunteers using a metabolomic approach and searched for sensitive and specific metabolomic biomarker candidates. Human serum samples were obtained esophageal (nu2009=u200915), gastric (nu2009=u200911), and colorectal (nu2009=u200912) cancer patients and healthy volunteers (nu2009=u200912). A model for evaluating metabolomic biomarker candidates was constructed using multiple classification analysis, and the results were assessed with receiver operating characteristic curves. Among the 58 metabolites, the levels of nine, five and 12 metabolites were significantly changed in the esophageal, gastric and colorectal cancer patients, respectively, compared with the healthy volunteers. Multiple classification analysis revealed that the variations in the levels of malonic acid and L-serine largely contributed to the separation of esophageal cancer; gastric cancer was characterized by changes in the levels of 3-hydroxypropionic acid and pyruvic acid; and L-alanine, glucuronoic lactone and L-glutamine contributed to the separation of colorectal cancer. Our approach revealed that some metabolites are more sensitive for detecting gastrointestinal cancer than conventional biomarkers. Our study supports the potential of metabolomics as an early diagnostic tool for cancer.

GCMS‐based metabolomic study in mice with colitis induced by dextran sulfate sodium

Background: Metabolomics provides data about all the metabolic processes of a cell or organism. So far, the changes that occur in the levels of metabolites during the development of colitis have not been fully elucidated. Here we examined the changes of metabolite levels in the serum and colon tissue of colitis mice using gas chromatography mass spectrometry (GC/MS) with the aim of achieving a detailed understanding of the pathogenesis of inflammatory bowel disease (IBD). Methods: To induce colitis, C57BL/6J mice were administered 3.0% dextran sulfate sodium (DSS) in their drinking water for 5 days and were subsequently given drinking water alone. Results: A total of 77 and 92 metabolites were detected in serum and colon tissue, respectively, and among the metabolites the compositions of TCA cycle intermediates and amino acids changed depending on the degree of colitis. Then, partial least square discriminant analysis (PLS‐DA), a multiple classification analysis, showed distinct clustering and clear separation of the groups according to the degree of colitis. Furthermore, PLS‐DA loadings plots revealed that succinic acid, indole‐3‐acetic acid, glutamic acid, and glutamine were the main contributors to the separation of each stage of colitis. In addition, it was revealed that supplementation with glutamine, the level of which was significantly decreased in the acute phase of colonic inflammation, attenuated colitis induced by DSS. Conclusions: Our results suggest that metabolomics is capable of representing the various degrees of colitis, and our findings will aid in the discovery of therapeutic agents for IBD and other inflammatory disorders by metabolomic approaches. (Inflamm Bowel Dis 2011;)

Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography–mass spectrometry

Recently, metabolome analysis has been increasingly applied to biomarker detection and disease diagnosis in medical studies. Metabolome analysis is a strategy for studying the characteristics and interactions of low molecular weight metabolites under a specific set of conditions and is performed using mass spectrometry and nuclear magnetic resonance spectroscopy. There is a strong possibility that changes in metabolite levels reflect the functional status of a cell because alterations in their levels occur downstream of DNA, RNA, and protein. Therefore, the metabolite profile of a cell is more likely to represent the current status of a cell than DNA, RNA, or protein. Thus, owing to the rapid development of mass spectrometry analytical techniques metabolome analysis is becoming an important experimental method in life sciences including the medical field. Here, we describe metabolome analysis using liquid chromatography–mass spectrometry, gas chromatography–mass spectrometry (GC–MS), capillary electrophoresis–mass spectrometry, and matrix assisted laser desorption ionization–mass spectrometry. Then, the findings of studies about GC–MS-based metabolome analysis of gastroenterological diseases are summarized, and our research results are also introduced. Finally, we discuss the realization of disease diagnosis by metabolome analysis. The development of metabolome analysis using mass spectrometry will aid the discovery of novel biomarkers, hopefully leading to the early detection of various diseases.

GC/MS-based profiling of amino acids and TCA cycle-related molecules in ulcerative colitis

ObjectiveThe roles that amino acids play in immunity and inflammation are well defined, and the relationship between inflammatory bowel disease (IBD) and certain amino acids has recently attracted attention. In this study, the levels of amino acids and trichloroacetic acid (TCA) cycle-related molecules in the colonic tissues and sera of patients with ulcerative colitis (UC) were profiled by gas chromatography/mass spectrometry (GC/MS), with the aim of evaluating whether the clinical state induced by UC leads to variations in the amino acid profile.Materials and methodsColonic biopsy samples from 22 UC patients were used, as well as serum samples from UC patients (nxa0=xa013), Crohn’s disease (CD) patients (nxa0=xa021), and healthy volunteers (nxa0=xa017).ResultsIn the GC/MS-based profiling of amino acids and TCA cycle-related molecules, lower levels of 16 amino acids and 5 TCA cycle-related molecules were observed in the colonic lesion tissues of the UC patients, and the serum profiles of amino acids and TCA cycle-related molecules of the UC patients were different from those of the CD patients and healthy volunteers.ConclusionsOur study raises the possibility that GC/MS-based profiling of amino acids and TCA cycle-related molecules is a useful early diagnostic tool for UC.

The DNA-binding activity of mouse DNA methyltransferase 1 is regulated by phosphorylation with casein kinase 1δ/ε

Dnmt1 (DNA methyltansferase 1) is an enzyme that recognizes and methylates hemimethylated DNA during DNA replication to maintain methylation patterns. The N-terminal region of Dnmt1 is known to form an independent domain structure that interacts with various regulatory proteins and DNA. In the present study, we investigated protein kinases in the mouse brain that could bind and phosphorylate the N-terminal regulatory domain of Dnmt1. A protein fraction containing protein kinase activity for phosphorylation of Dnmt1(1-290) was prepared using Dnmt1(1-290)-affinity, DNA-cellulose and gel-filtration columns. When the proteins in this fraction were analysed by LC-MS/MS (liquid chromatography tandem MS), CK1delta/epsilon (casein kinase 1delta/epsilon) was the only protein kinase identified. Recombinant CK1delta/epsilon was found to bind to the N-terminal domain of Dnmt1 and significantly phosphorylated this domain, especially in the presence of DNA. Phosphorylation analyses using various truncation and point mutants of Dnmt1 revealed that the major priming site phosphorylated by CK1delta/epsilon was Ser146, and that subsequent phosphorylation at other sites may occur after phosphorylation of the priming site. When the DNA-binding activity of phosphorylated Dnmt1 was compared with that of the non-phosphorylated form, phosphorylation of Dnmt1 was found to decrease the affinity for DNA. These results suggest that CK1delta/epsilon binds to and phosphorylates the N-terminal domain of Dnmt1 and regulates Dnmt1 function by reducing the DNA-binding activity.

Identification of amphiphysin 1 as an endogenous substrate for CDKL5, a protein kinase associated with X-linked neurodevelopmental disorder.

Cyclin-dependent kinase-like 5 (CDKL5) is a Ser/Thr protein kinase predominantly expressed in brain and mutations of its gene are known to be associated with neurodevelopmental disorders such as X-linked West syndrome and Rett syndrome. However, the physiological substrates of CDKL5 that are directly linked to these neurodevelopmental disorders are currently unknown. In this study, we explored endogenous substrates for CDKL5 in mouse brain extracts fractionated by a liquid-phase isoelectric focusing. In conjunction with CDKL5 phosphorylation assay, this approach detected a protein band with an apparent molecular mass of 120kDa that is remarkably phosphorylated by CDKL5. This 120-kDa protein was identified as amphiphysin 1 (Amph1) by LC-MS/MS analysis, and the site of phosphorylation by CDKL5 was determined to be Ser-293. The phosphorylation mimic mutants, Amph1(S293E) and Amph1(S293D), showed significantly reduced affinity for endophilin, a protein involved in synaptic vesicle endocytosis. Introduction of point mutations in the catalytic domain of CDKL5, which are disease-causing missense mutations found in Rett patients, resulted in the impairment of kinase activity toward Amph1. These results suggest that Amph1 is the cytoplasmic substrate for CDKL5 and that its phosphorylation may play crucial roles in the neuronal development.

Serum fatty acid profiling of colorectal cancer by gas chromatography/mass spectrometry

AIMSnSeveral screening methods have been applied for the early diagnosis of colorectal cancer, but most colorectal cancer patients are not diagnosed at a localized stage. In order to find novel biomarkers for the diagnosis of colorectal cancer, profiling of the serum levels of fatty acids, which are the main components of fats and are important factors for human metabolism, was performed using the sera of colorectal cancer patients.nnnMATERIALS & METHODSnA total of 42 colorectal cancer patients and eight healthy volunteers participated in this study. The serum levels of fatty acids, including free fatty acids and esterified fatty acids, were evaluated by gas chromatography/mass spectrometry. Then, partial least squares discriminant analysis was performed on the basis of the serum fatty acids detected by gas chromatography/mass spectrometry.nnnRESULTSnThe serum levels of the nine fatty acids exhibited distinct differences between the colorectal cancer patients and healthy volunteers: the levels of four fatty acids were higher in the colorectal cancer patients than the healthy volunteers, and those of the other five fatty acids were lower. These changes were also observed at a very early clinical stage. Furthermore, the levels of very-long-chain fatty acids had a tendency to be increased in the sera of the colorectal cancer patients.nnnCONCLUSIONSnThe pathogenesis of colorectal cancer leads to changes in the composition of serum fatty acids including free fatty acids and esterified fatty acids. These results suggest that serum fatty acid profiling may be used as a novel diagnostic tool for early-stage colorectal cancer.

Promotion of Intestinal Epithelial Cell Turnover by Commensal Bacteria: Role of Short-Chain Fatty Acids.

The life span of intestinal epithelial cells (IECs) is short (3–5 days), and its regulation is thought to be important for homeostasis of the intestinal epithelium. We have now investigated the role of commensal bacteria in regulation of IEC turnover in the small intestine. The proliferative activity of IECs in intestinal crypts as well as the migration of these cells along the crypt-villus axis were markedly attenuated both in germ-free mice and in specific pathogen–free (SPF) mice treated with a mixture of antibiotics, with antibiotics selective for Gram-positive bacteria being most effective in this regard. Oral administration of chloroform-treated feces of SPF mice to germ-free mice resulted in a marked increase in IEC turnover, suggesting that spore-forming Gram-positive bacteria contribute to this effect. Oral administration of short-chain fatty acids (SCFAs) as bacterial fermentation products also restored the turnover of IECs in antibiotic-treated SPF mice as well as promoted the development of intestinal organoids in vitro. Antibiotic treatment reduced the phosphorylation levels of ERK, ribosomal protein S6, and STAT3 in IECs of SPF mice. Our results thus suggest that Gram-positive commensal bacteria are a major determinant of IEC turnover, and that their stimulatory effect is mediated by SCFAs.

Tumor suppressor cell adhesion molecule 1 (CADM1) is cleaved by a disintegrin and metalloprotease 10 (ADAM10) and subsequently cleaved by γ-secretase complex

Cell adhesion molecule 1 (CADM1) is a type I transmembrane glycoprotein expressed in various tissues. CADM1 is a cell adhesion molecule with many functions, including roles in tumor suppression, apoptosis, mast cell survival, synapse formation, and spermatogenesis. CADM1 undergoes membrane-proximal cleavage called shedding, but the sheddase and mechanisms of CADM1 proteolysis have not been reported. We determined the cleavage site involved in CADM1 shedding by LC/MS/MS and showed that CADM1 shedding occurred in the membrane fraction and was inhibited by tumor necrosis factor-α protease inhibitor-1 (TAPI-1). An siRNA experiment revealed that ADAM10 mediates endogenous CADM1 shedding. In addition, the membrane-bound fragment generated by shedding was further cleaved by γ-secretase and generated CADM1-intracellular domain (ICD) in a mechanism called regulated intramembrane proteolysis (RIP). These results clarify the detailed mechanism of membrane-proximal cleavage of CADM1, suggesting the possibility of RIP-mediated CADM1 signaling.