Loss of Alanine-Glyoxylate and Serine-Pyruvate Aminotransferase

Total Page:16

File Type:pdf, Size:1020Kb

Loss of Alanine-Glyoxylate and Serine-Pyruvate Aminotransferase Sun et al. J Transl Med (2019) 17:390 https://doi.org/10.1186/s12967-019-02138-5 Journal of Translational Medicine RESEARCH Open Access Loss of alanine-glyoxylate and serine-pyruvate aminotransferase expression accelerated the progression of hepatocellular carcinoma and predicted poor prognosis Yufeng Sun1,2†, Wenchao Li3,6†, Shiqi Shen1†, Xuejing Yang4, Bing Lu5, Xiaojing Zhang5, Peng Lu1, Yi Shen3* and Juling Ji1* Abstract Background: Accumulated studies reported abnormal gene expression profles of hepatocellular carcinoma (HCC) by cDNA microarray. We tried to merge cDNA microarray data from diferent studies to search for stably changed genes, and to fnd out better diagnostic and prognostic markers for HCC. Methods: A systematic review was performed by searching publications indexed in Pubmed from March 1, 2001 to July 1, 2016. Studies that reporting cDNA microarray profles in HCC, containing both tumor and nontumor data and published in English-language were retrieved. The diferentially expressed genes from eligible studies were summa- rized and ranked according to the frequency. High frequency genes were subjected to survival analyses. The expres- sion and prognostic value of alanine-glyoxylate and serine-pyruvate aminotransferase (AGXT) was further evaluated in HCC datasets in Oncomine and an independent HCC tissue array cohort. The role of AGXT in HCC progression was evaluated by proliferation and migration assays in a human HCC cell line. Results: A total of 43 eligible studies that containing 1917 HCC patients were included, a list of 2022 non redun- dant abnormally expressed genes in HCC were extracted. The frequencies of reported genes were ranked. We fnally obtained a list of only fve genes (AGXT; ALDOB; CYP2E1; IGFBP3; TOP2A) that were diferentially expressed in tumor and nontumor tissues across studies and were signifcantly correlated to HCC prognosis. Only AGXT had not been reported in HCC. Reduced expression of AGXT refected poor diferentiation of HCC and predicts poor survival. Knock- ing down of AGXT enhanced cell proliferation and migration of HCC cell line. Conclusions: The present study supported the feasibility and necessity of systematic review on discovering new and reliable biomarkers for HCC. We also identifed a list of high frequency prognostic genes and emphasized a critical role of AGXT deletion during HCC progression. Keywords: Hepatocellular carcinoma, Systematic review, Alanine-glyoxylate and serine-pyruvate aminotransferase, Diagnostic marker, Prognostic marker *Correspondence: [email protected]; [email protected] †Yufeng Sun, Wenchao Li and Shiqi Shen contributed equally to this work 1 Department of Pathology, Medical School of Nantong University, Nantong, China 3 Department of Epidemiology and Medical Statistics, Public Health School of Nantong University, Nantong, China Full list of author information is available at the end of the article © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Sun et al. J Transl Med (2019) 17:390 Page 2 of 16 Background Terms were chose as the key words, including hepato- Liver cancer is the third leading cause of cancer death and cellular carcinoma, liver neoplasms, gene expression the sixth most common cancer worldwide [1]. Hepatocel- profling, human, gene expression regulation, oligonu- lular carcinoma (HCC) accounts for 70–85% of the total cleotide array sequence analysis. Date of publications liver cancer burden. Te accurate diagnosis and proper was restricted to July 2016. Besides, the literature must treatment of HCC is particularly challenging. Options for be published in English language. In addition to use HCC treatment remain limited, surgical resection is con- (((((((carcinoma, hepatocellular[MeSH Terms]) AND sidered the only “curative treatment”. But HCC patients liver neoplasms[MeSH Terms]) AND gene expression do not have overt symptoms in the early stages, 80% of profling[MeSH Terms]) AND human[MeSH Terms]) patients have widespread HCC at the time of diagnosis AND gene expression regulation[MeSH Terms]) AND and are not candidates for surgical treatment. Even with oligonucleotide array sequence analysis[MeSH Terms])) surgical resection, the 5-year survival rate is poor (about AND (“1781/01/01”[Date-MeSH]: “2016/06/30”[Date- 38%) [2]. MeSH]) as the search strategy to obtain literatures, we Accumulated data from high-throughput analyses by also reviewed the bibliographies of eligible studies as cDNA microarray provide an accurate landscape of gene well as those of relevant review articles to identify addi- expression in HCC, and revealed a lot of pathogenic and tional studies not captured by our database searches. To prognostic genes for HCCs, thus enabled us to deline- identify all potentially eligible studies, two investigators ate some of the key events that might dominate tumor independently conducted structured searches in selected development and progression. Hopefully, translation of databases. this knowledge into new targets and biomarkers might impact HCC decision making, and ultimately improve Study inclusion criteria patient’s outcomes [3]. However, these studies were per- Eligible studies were included in the systematic review formed with diferent platforms and in diferent popula- if they met the following criteria: (1) they were gene tions, the suggested diagnostic markers and potential expression studies in hepatocellular carcinoma; (2) they therapeutic targets for HCC varied across studies, hence used tissue samples obtained from surgically resected prevented the application of these fndings. It’s the high tumor and corresponding non-tumor or normal tissues time to merge these cDNA microarray data from dif- in human for comparison; (3) validation of method and ferent studies using diferent platforms, to search those sample set were reported; (4) clinical and experimental widely and stably changed genes, and to fnd out better study. Articles were excluded based on the following cri- diagnostic markers and potential therapeutic targets for teria: (1) review articles or letters; (2) non-liver cancer; HCC. (3) non-gene expression profle; (4) non-human tissue In the present study, we performed a systematic review samples. of studies that reported cDNA microarray data for both tumor and nontumor liver tissues of HCC patients and Data extraction came up with a list of fve genes that were diferentially From the full text and corresponding additional infor- expressed in tumor and nontumor tissues across diferent mation, the following items were eligible to collect and studies and were signifcantly correlated to HCC progno- record for each study: authors, year of publication, region, sis. Among the fve genes, except for alanine-glyoxylate selection number and characteristics of recruited liver and serine-pyruvate aminotransferase (AGXT) which is cancer patients, the members of abnormally expressed an essential gene involved in glyoxylate detoxifcation, genes in liver cancer. Two investigators (K. D. and YL. the other four genes were well documented in HCC. J.) independently evaluated and extracted the data with Here, we reported that AGXT was involved in the pro- the inclusion criteria. Conficts in study selection at this gression of HCC and loss of AGXT expression predicted stage were resolved by consensus, referring back to the poor prognosis of HCC. AGXT might be a novel diag- original article in consultation with the principal. nostic and prognostic marker and a potential therapeutic target for HCC. Gene statistics and screening For genes that have multiple names/synonyms, we Methods standardized the gene name for later work by using Data sources and search strategy widely accepted and used HGNC database (https :// Literature retrieval was originally performed with www.genen ames.org/). Frequency and composition PubMed, a free search engine accessing primarily the analysis of the abnormally expressed genes in hepa- MEDLINE database of references and abstracts on life tocellular carcinomas were conducted by IBM SPSS sciences and biomedical topics. Te relevant Mesh Statistics 20.0 software (Endicott, New York, NY). Sun et al. J Transl Med (2019) 17:390 Page 3 of 16 Te genes presented in more than four studies were respectively. Te staining scores were evaluated indepen- regarded as high frequent genes. Te expression of dently by two pathologists who were blinded to the clini- the high frequent genes in other malignant tumors cal outcomes. were obtained from Oncomine (https ://www.oncom ine.org/). To identify a prognostic gene list across dif- Cell culture ferent studies, the prognostic value of these high fre- Human HCC cell lines were cultured in Dulbecco’s quent genes were evaluated by survival risk prediction Modifed Eagle’s Medium (DMEM) (Gibco, CA, USA) in a previously described cohort of 247 Chinese HCC supplemented with 10% fetal bovine serum (FBS, Gibco, patients with publicly available Afymetrix U133A Carlsbad, USA) in a 5% CO2 atmosphere at 37 °C. array data (National Center for Biotechnology
Recommended publications
  • CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal
    5 6 6 5 . 4 2 1 1 1 2 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 A A A A A A A A A A A A A A A A A A A A C C C C C C C C C C C C C C C C C C C C R R R R R R R R R R R R R R R R R R R R B , B B B B B B B B B B B B B B B B B B B , 9 , , , , 4 , , 3 0 , , , , , , , , 6 2 , , 5 , 0 8 6 4 , 7 5 7 0 2 8 9 1 3 3 3 1 1 7 5 0 4 1 4 0 7 1 0 2 0 6 7 8 0 2 5 7 8 0 3 8 5 4 9 0 1 0 8 8 3 5 6 7 4 7 9 5 2 1 1 8 2 2 1 7 9 6 2 1 7 1 1 0 4 5 3 5 8 9 1 0 0 4 2 5 0 8 1 4 1 6 9 0 0 6 3 6 9 1 0 9 0 3 8 1 3 5 6 3 6 0 4 2 6 1 0 1 2 1 9 9 7 9 5 7 1 5 8 9 8 8 2 1 9 9 1 1 1 9 6 9 8 9 7 8 4 5 8 8 6 4 8 1 1 2 8 6 2 7 9 8 3 5 4 3 2 1 7 9 5 3 1 3 2 1 2 9 5 1 1 1 1 1 1 5 9 5 3 2 6 3 4 1 3 1 1 4 1 4 1 7 1 3 4 3 2 7 6 4 2 7 2 1 2 1 5 1 6 3 5 6 1 3 6 4 7 1 6 5 1 1 4 1 6 1 7 6 4 7 e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m
    [Show full text]
  • Supplementary Materials
    Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented.
    [Show full text]
  • AMPK Signaling Regulates Expression of Urea Cycle Enzymes in Response to Changes in Dietary Protein Intake
    bioRxiv preprint doi: https://doi.org/10.1101/439380; this version posted October 10, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. AMPK signaling regulates expression of urea cycle enzymes in response to changes in dietary protein intake Sandra Kirsch Heibel1Y, Peter J McGuire2Y, Nantaporn Haskins1, Himani Datta Majumdar1, Sree Rayavarapu1‡, Kanneboyina Nagaraju3, Yetrib Hathout3, Kristy Brown1, Mendel Tuchman1, Ljubica Caldovic1*, 1 Center for Genetic Medicine Research/Children's National Medical Center, Washington, DC, USA 2 National Human Genome Research Institute/National Institutes for Health, Bethesda, MD, USA 3 Department of Pharmaceutical Sciences/Binghamton University, Binghamton NY, USA YThese authors contributed equally to this work. ‡Current address: Division of Clinical Review, Office of Bioequivalence, Office of Generic Drugs, Center for Drug Evaluation and Research/Food and Drug Administration, Silver Spring, MD, USA * [email protected] Abstract Abundance of urea cycle enzymes in the liver is regulated by the dietary protein intake. Although urea cycle enzyme levels rise in response to a high protein diet, signaling networks that sense dietary protein intake and trigger changes in expression of urea cycle genes have not been identified. The aim of this study was to identify signaling pathway(s) that respond to changes in protein intake and regulate expression of urea cycle genes in mice and human hepatocytes. Mice were adapted to either control or high (HP) protein diets followed by isolation of liver protein and mRNA and integrated analysis of the proteomic and transcriptome profiles.
    [Show full text]
  • AGXT Gene Mutations and Their Influence on Clinical Heterogeneity of Type 1 Primary Hyperoxaluria
    J Am Soc Nephrol 12: 2072–2079, 2001 AGXT Gene Mutations and Their Influence on Clinical Heterogeneity of Type 1 Primary Hyperoxaluria ANTONIO AMOROSO,*† DOROTI PIRULLI,* FIORELLA FLORIAN,‡ DANIELA PUZZER,† MICHELE BONIOTTO,* SERGIO CROVELLA,* SILVIA ZEZLINA,† ANDREA SPANO` ,† GINA MAZZOLA,§ SILVANA SAVOLDI,࿣ CRISTINA FERRETTINI,¶ SILVIA BERUTTI,¶ MICHELE PETRARULO,¶ and MARTINO MARANGELLA¶ *Section of Genetics, Department of Reproductive and Developmental Science, University of Trieste, Trieste, Italy; †Medical Genetics Service, IRCCS Burlo Garofolo, Trieste, Italy; ‡Department of Biology, University of Trieste, Trieste, Italy; §Transplant Immunology Service, Ospedale S. Giovanni Battista di Torino, Torino, Italy; ࿣Division of Nephrology and Dialysis, Azienda Ospedaliera Triestina, Trieste, Italy; and ¶Renal Stones Center, Ospedale Mauriziano Umberto I, Torino, Italy. Abstract. Primary hyperoxaluria type 1 (PH1) is an autosomal were performed. Both mutant alleles were found in 21 out of recessive disorder that is caused by a deficiency of alanine: 23 patients, and 13 different mutations were recognized in glyoxylate aminotransferase (AGT), which is encoded by a exons 1, 2, 4, and 10. Normalized AGT activity was lower in single copy gene (AGXT). Molecular diagnosis was used in the severe form than in the adult form (P Ͻ 0.05). Double conjunction with clinical, biochemical, and enzymological data heterozygous patients presented a lower age at the onset of the to evaluate genotype-phenotype correlation. Twenty-three un- disease (P ϭ 0.025), and they were more frequent in group A related, Italian PH1 patients were studied, 20 of which were (75%) than in the group B (14%; P ϭ 0.0406). The T444C grouped according to severe form of PH1 (group A), adult mutation was more frequent in the severe form (P Ͻ 0.05), and form (group B), and mild to moderate decrease in renal func- the opposite was observed for G630A (P Ͻ 0.05).
    [Show full text]
  • Primary Hyperoxaluria Type 1: AGT Mistargeting Highlights the Fundamental Differences Between the Peroxisomal and Mitochondrial Protein Import Pathways
    CORE Metadata, citation and similar papers at core.ac.uk Provided by Elsevier - Publisher Connector Biochimica et Biophysica Acta 1763 (2006) 1776–1784 www.elsevier.com/locate/bbamcr Review Primary hyperoxaluria type 1: AGT mistargeting highlights the fundamental differences between the peroxisomal and mitochondrial protein import pathways Christopher J. Danpure Department of Biology, University College London, Gower Street, London WC1E 6BT, UK Received 28 April 2006; received in revised form 1 August 2006; accepted 18 August 2006 Available online 24 August 2006 Abstract Primary hyperoxaluria type 1 (PH1) is an atypical peroxisomal disorder, as befits a deficiency of alanine:glyoxylate aminotransferase (AGT), which is itself an atypical peroxisomal enzyme. PH1 is characterized by excessive synthesis and excretion of the metabolic end-product oxalate and the progressive accumulation of insoluble calcium oxalate in the kidney and urinary tract. Disease in many patients is caused by a unique protein trafficking defect in which AGT is mistargeted from peroxisomes to mitochondria, where it is metabolically ineffectual, despite remaining catalytically active. Although the peroxisomal import of human AGT is dependent upon the PTS1 import receptor PEX5p, its PTS1 is exquisitely specific for mammalian AGT, suggesting the presence of additional peroxisomal targeting information elsewhere in the AGT molecule. This and many other functional peculiarities of AGT are probably a consequence of its rather chequered evolutionary history, during which much of its time has been spent being a mitochondrial, rather than a peroxisomal, enzyme. Analysis of the molecular basis of AGT mistargeting in PH1 has thrown into sharp relief some of the fundamental differences between the requirements of the peroxisomal and mitochondrial protein import pathways, particularly the properties of peroxisomal and mitochondrial matrix targeting sequences and the different conformational limitations placed upon importable cargos.
    [Show full text]
  • Phyre 2 Results for P50277
    Email [email protected] Description P50277 Mon Jul 2 19:25:55 BST Date 2012 Unique Job 2972c4295ed43821 ID Detailed template information # Template Alignment Coverage 3D Model Confidence % i.d. Template Information PDB header:transferase Chain: B: PDB Molecule:adenosylmethionine-8-amino-7- 1 c4a0rB_ Alignment 100.0 23 oxononanoate PDBTitle: structure of bifunctional dapa aminotransferase-dtb synthetase from2 arabidopsis thaliana bound to dethiobiotin (dtb). PDB header:transferase Chain: A: PDB Molecule:aminotransferase, class iii; 2 c3hmuA_ 100.0 27 Alignment PDBTitle: crystal structure of a class iii aminotransferase from2 silicibacter pomeroyi PDB header:transferase Chain: D: PDB Molecule:adenosylmethionine-8-amino-7- 3 c3n5mD_ Alignment 100.0 28 oxononanoate aminotransferase; PDBTitle: crystals structure of a bacillus anthracis aminotransferase PDB header:transferase Chain: A: PDB Molecule:putative aminotransferase; 4 c3fcrA_ 100.0 24 Alignment PDBTitle: crystal structure of putative aminotransferase (yp_614685.1) from2 silicibacter sp. tm1040 at 1.80 a resolution PDB header:transferase Chain: A: PDB Molecule:omega transaminase; 5 c4a6tA_ 100.0 27 Alignment PDBTitle: crystal structure of the omega transaminase from2 chromobacterium violaceum in complex with plp PDB header:transferase Chain: B: PDB Molecule:aminotransferase; 6 c3i5tB_ 100.0 25 Alignment PDBTitle: crystal structure of aminotransferase prk07036 from rhodobacter2 sphaeroides kd131 PDB header:transferase Chain: A: PDB Molecule:adenosylmethionine-8-amino-7- oxononanoate
    [Show full text]
  • (12) Patent Application Publication (10) Pub. No.: US 2003/0198970 A1 Roberts (43) Pub
    US 2003O19897OA1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2003/0198970 A1 Roberts (43) Pub. Date: Oct. 23, 2003 (54) GENOSTICS clinical trials on groups or cohorts of patients. This group data is used to derive a Standardised method of treatment (75) Inventor: Gareth Wyn Roberts, Cambs (GB) which is Subsequently applied on an individual basis. There is considerable evidence that a significant factor underlying Correspondence Address: the individual variability in response to disease, therapy and FINNEGAN, HENDERSON, FARABOW, prognosis lies in a person's genetic make-up. There have GARRETT & DUNNER been numerous examples relating that polymorphisms LLP within a given gene can alter the functionality of the protein 1300 ISTREET, NW encoded by that gene thus leading to a variable physiological WASHINGTON, DC 20005 (US) response. In order to bring about the integration of genomics into medical practice and enable design and building of a (73) Assignee: GENOSTIC PHARMA LIMITED technology platform which will enable the everyday practice (21) Appl. No.: 10/206,568 of molecular medicine a way must be invented for the DNA Sequence data to be aligned with the identification of genes (22) Filed: Jul. 29, 2002 central to the induction, development, progression and out come of disease or physiological States of interest. Accord Related U.S. Application Data ing to the invention, the number of genes and their configu rations (mutations and polymorphisms) needed to be (63) Continuation of application No. 09/325,123, filed on identified in order to provide critical clinical information Jun. 3, 1999, now abandoned. concerning individual prognosis is considerably less than the 100,000 thought to comprise the human genome.
    [Show full text]
  • Metabolic Network-Based Stratification of Hepatocellular Carcinoma Reveals Three Distinct Tumor Subtypes
    Metabolic network-based stratification of hepatocellular carcinoma reveals three distinct tumor subtypes Gholamreza Bidkhoria,b,1, Rui Benfeitasa,1, Martina Klevstigc,d, Cheng Zhanga, Jens Nielsene, Mathias Uhlena, Jan Borenc,d, and Adil Mardinoglua,b,e,2 aScience for Life Laboratory, KTH Royal Institute of Technology, SE-17121 Stockholm, Sweden; bCentre for Host-Microbiome Interactions, Dental Institute, King’s College London, SE1 9RT London, United Kingdom; cDepartment of Molecular and Clinical Medicine, University of Gothenburg, SE-41345 Gothenburg, Sweden; dThe Wallenberg Laboratory, Sahlgrenska University Hospital, SE-41345 Gothenburg, Sweden; and eDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden Edited by Sang Yup Lee, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, and approved November 1, 2018 (received for review April 27, 2018) Hepatocellular carcinoma (HCC) is one of the most frequent forms of of markers associated with recurrence and poor prognosis (13–15). liver cancer, and effective treatment methods are limited due to Moreover, genome-scale metabolic models (GEMs), collections tumor heterogeneity. There is a great need for comprehensive of biochemical reactions, and associated enzymes and transporters approaches to stratify HCC patients, gain biological insights into have been successfully used to characterize the metabolism of subtypes, and ultimately identify effective therapeutic targets. We HCC, as well as identify drug targets for HCC patients (11, 16–18). stratified HCC patients and characterized each subtype using tran- For instance, HCC tumors have been stratified based on the uti- scriptomics data, genome-scale metabolic networks and network lization of acetate (11). Analysis of HCC metabolism has also led topology/controllability analysis.
    [Show full text]
  • Alanine and Aspartate Aminotransferase and Glutamine-Cycling Pathway: Their Roles in Pathogenesis of Metabolic Syndrome
    Online Submissions: http://www.wjgnet.com/1007-9327office World J Gastroenterol 2012 August 7; 18(29): 3775-3781 [email protected] ISSN 1007-9327 (print) ISSN 2219-2840 (online) doi:10.3748/wjg.v18.i29.3775 © 2012 Baishideng. All rights reserved. FIELD OF VISION Alanine and aspartate aminotransferase and glutamine-cycling pathway: Their roles in pathogenesis of metabolic syndrome Silvia Sookoian, Carlos J Pirola Silvia Sookoian, Department of Clinical and Molecular Hepa- factors such as obesity, insulin resistance (IR), high tology, Institute of Medical Research A Lanari-IDIM, Univer- blood pressure, and dyslipidemia were associated with sity of Buenos Aires-National Council of Scientific and Tech- several metabolites, including branched-chain amino nological Research (CONICET), Ciudad Autónoma de Buenos acids, other hydrophobic amino acids, tryptophan Aires 1427, Argentina breakdown products, and nucleotide metabolites. In Carlos J Pirola, Department of Molecular Genetics and Biol- addition, the authors found a significant association of ogy of Complex Diseases, Institute of Medical Research A IR traits with glutamine, glutamate and the glutamine- Lanari-IDIM, University of Buenos Aires-National Council of Scientific and Technological Research (CONICET), Ciudad Au- to-glutamate ratio. These data provide new insight into tónoma de Buenos Aires 1427, Argentina the pathogenesis of MS-associated phenotypes and in- Author contributions: Sookoian S and Pirola CJ designed the troduce a crucial role of glutamine-cycling pathway as study, analyzed
    [Show full text]
  • Recombinant Production of Eight Human
    Recombinant production of eight human cytosolic aminotransferases and assessment of their potential involvement in glyoxylate metabolism Stefano Donini, Manuela Ferrari, Chiara Fedeli, Marco Faini, Ilaria Lamberto, Ada Serena Marletta, Lara Mellini, Michela Panini, Riccardo Percudani, Loredano Pollegioni, et al. To cite this version: Stefano Donini, Manuela Ferrari, Chiara Fedeli, Marco Faini, Ilaria Lamberto, et al.. Recombinant production of eight human cytosolic aminotransferases and assessment of their potential involve- ment in glyoxylate metabolism. Biochemical Journal, Portland Press, 2009, 422 (2), pp.265-272. 10.1042/BJ20090748. hal-00479195 HAL Id: hal-00479195 https://hal.archives-ouvertes.fr/hal-00479195 Submitted on 30 Apr 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Biochemical Journal Immediate Publication. Published on 23 Jun 2009 as manuscript BJ20090748 Recombinant production of eight human cytosolic aminotransferases and assessment of their potential involvement in glyoxylate metabolism. Stefano Donini *, Manuela Ferrari *, Chiara Fedeli *, Marco Faini *‡ , Ilaria Lamberto *, Ada Serena Marletta *, Lara Mellini *, Michela Panini *, Riccardo Percudani *, Loredano Pollegioni †, Laura Caldinelli †, Stefania Petrucco *1 and Alessio Peracchi *2 * Department of Biochemistry and Molecular Biology, University of Parma, 43100 Parma, Italy † The Protein Factory - Department of Biotechnology and Molecular Sciences, University of Insubria, 21100 Varese, Italy.
    [Show full text]
  • AGXT Gene Alanine--Glyoxylate and Serine--Pyruvate Aminotransferase
    AGXT gene alanine--glyoxylate and serine--pyruvate aminotransferase Normal Function The AGXT gene provides instructions for making an enzyme called serine-pyruvate aminotransferase. This enzyme is found in liver cells, specifically within cell structures called peroxisomes. These structures are important for several cellular activities, such as ridding the cell of toxic substances and helping to break down certain fats. In the peroxisome, serine-pyruvate aminotransferase converts a compound called glyoxylate to the protein building block (amino acid) glycine. Health Conditions Related to Genetic Changes Primary hyperoxaluria More than 175 mutations in the AGXT gene have been found to cause primary hyperoxaluria type 1. This condition is caused by the overproduction of a substance called oxalate. Excess amounts of this substance lead to kidney and bladder stones, which can begin anytime from childhood to early adulthood with kidney disease developing at any age. Deposition of oxalate in multiple other tissues throughout the body (systemic oxalosis) can cause additional health problems. Most of the AGXT gene mutations decrease or eliminate serine-pyruvate aminotransferase activity, which impairs the conversion of glyoxylate to glycine. Other mutations cause the enzyme to be misplaced in cells, transporting it to structures called mitochondria instead of to peroxisomes. While the enzyme in the mitochondria retains activity, it cannot access glyoxylate, which is in peroxisomes. All AGXT gene mutations result in the accumulation of glyoxylate, which is converted to oxalate instead of glycine. The oxalate is filtered through the kidneys and is either excreted in urine as a waste product or combines with calcium to form calcium oxalate, a hard compound that is the main component of kidney and bladder stones.
    [Show full text]
  • Mutational Analysis of AGXT in Two Chinese Families with Primary
    Li et al. BMC Nephrology 2014, 15:92 http://www.biomedcentral.com/1471-2369/15/92 RESEARCH ARTICLE Open Access Mutational analysis of AGXT in two Chinese families with primary hyperoxaluria type 1 Guo-min Li1, Hong Xu1*, Qian Shen1, Yi-nv Gong1, Xiao-yan Fang1, Li Sun1, Hai-mei Liu1 and Yu An2* Abstract Background: Primary hyperoxaluria type 1 is a rare autosomal recessive disease of glyoxylate metabolism caused by a defect in the liver-specific peroxisomal enzyme alanine:glyoxylate aminotransferase (AGT) that leads to hyperoxaluria, recurrent urolithiasis, and nephrocalcinosis. Methods: Two unrelated patients with recurrent urolithiasis, along with members of their families, exhibited mutations in the AGXT gene by PCR direct sequencing. Results: Two heterozygous mutations that predict truncated proteins, p.S81X and p.S275delinsRAfs, were identified in one patient. The p.S81X mutation is novel. Two heterozygous missense mutations, p.M1T and p.I202N, were detected in another patient but were not identified in her sibling. These four mutations were confirmed to be of paternal and maternal origin. Conclusions: These are the first cases of primary hyperoxaluria type 1 to be diagnosed by clinical manifestations and AGXT gene mutations in mainland China. The novel p.S81X and p.I202N mutations detected in our study extend the spectrum of known AGXT gene mutations. Keywords: AGXT gene, Chinese children, Mutational analysis, Novel mutation, Primary hyperoxaluria type 1 Background [5,7-9]. Excessive oxalate excretion is an indicator of Primary hyperoxaluria type 1 (PH1; MIM# 259900) is an this disease; however, the test is not specific for PH1 autosomal recessive disorder of glyoxylate metabolism, and may have misleading results because oxalate excretion leading to the overproduction of endogenous oxalate; may be reduced during renal failure [2,10,11].
    [Show full text]