Literature DB >> 27826747

Serum Compounds of Energy Metabolism Impairment Are Related to Disability, Disease Course and Neuroimaging in Multiple Sclerosis.

Giacomo Lazzarino1, Angela M Amorini1, Axel Petzold2,3,4, Claudio Gasperini5, Serena Ruggieri5,6, Maria Esmeralda Quartuccio5, Giuseppe Lazzarino7, Enrico Di Stasio1, Barbara Tavazzi1.   

Abstract

Multiple sclerosis (MS) is characterized by primary inflammation, demyelination, and progressive neurodegeneration. A biochemical MS feature is neuronal mitochondrial dysfunction, compensated by anaerobic metabolism increase, likely aggravating progression of neurodegeneration. Here, we characterized a pragmatic serum profile of compounds related to mitochondrial energy metabolism of potential clinical use. Blood samples of 518 well characterized (disability, disease course) MS patients and 167 healthy controls were analyzed for serum purines, pyrimidines, creatinine, and lactate. Nine of the 15 compounds assayed, hypoxanthine, xanthine, uric acid, inosine, uracil, β-pseudouridine, uridine, creatinine, and lactate, differed significantly between MS patients and controls (p < 0.0001). Using these nine compounds, a unifying Biomarker Score was calculated. Controls and MS patients had mean Biomarker Scores of 0.4 ± 0.7 and 4.4 ± 1.9, respectively (p < 0.00001). The Biomarker Score was higher in patients with progressive (6.0 ± 1.8 than with relapsing remitting disease course (3.6 ± 1.5, p < 0.00001). High association between the Biomarker Score and increase in disability (EDSS) was also observed. Additionally, in 50 patients who underwent magnetic resonance imaging (MRI), increase in the Biomarker Score correlated to neuroanatomical alterations. These results, obtained in a large cohort of MS patients evaluated for serum metabolic compounds connected to energy metabolism, demonstrated that the Biomarker Score might represent a pragmatic, resource saving, easy to obtain, laboratory tool useful to monitor MS patients and predict at an early stage who will switch from an RR to a progressive disease course. For the first time, it was also clearly shown a link between mitochondrial dysfunction and MRI lesions characteristic of MS.

Entities:  

Keywords:  Biomarker Score; Clinical disability; Energy-related serum metabolites; Mitochondrial dysfunction; Multiple sclerosis

Mesh:

Substances:

Year:  2016        PMID: 27826747     DOI: 10.1007/s12035-016-0257-9

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  80 in total

1.  Simultaneous high performance liquid chromatographic separation of purines, pyrimidines, N-acetylated amino acids, and dicarboxylic acids for the chemical diagnosis of inborn errors of metabolism.

Authors:  Barbara Tavazzi; Giuseppe Lazzarino; Paola Leone; Angela Maria Amorini; Francesco Bellia; Christopher G Janson; Valentina Di Pietro; Lia Ceccarelli; Sonia Donzelli; Jeremy S Francis; Bruno Giardina
Journal:  Clin Biochem       Date:  2005-09-01       Impact factor: 3.281

2.  Protein and RNA turnover in preterm infants and adults: a comparison based on urinary excretion of 3-methylhistidine and of modified one-way RNA catabolites.

Authors:  G Sander; J Hülsemann; H Topp; G Heller-Schöch; G Schöch
Journal:  Ann Nutr Metab       Date:  1986       Impact factor: 3.374

Review 3.  Role of inflammation and apoptosis in multiple sclerosis: Comparative analysis between the periphery and the central nervous system.

Authors:  Beatrice Macchi; Francesca Marino-Merlo; Ugo Nocentini; Valerio Pisani; Salvatore Cuzzocrea; Sandro Grelli; Antonio Mastino
Journal:  J Neuroimmunol       Date:  2015-08-29       Impact factor: 3.478

4.  A liquid-stable reagent for lactic acid levels. Application to the Hitachi 911 and Beckman CX7.

Authors:  J D Artiss; R E Karcher; K T Cavanagh; S L Collins; V J Peterson; S Varma; B Zak
Journal:  Am J Clin Pathol       Date:  2000-07       Impact factor: 2.493

5.  Genetic, Immune-Inflammatory, and Oxidative Stress Biomarkers as Predictors for Disability and Disease Progression in Multiple Sclerosis.

Authors:  Ana Paula Kallaur; Edna Maria Vissoci Reiche; Sayonara Rangel Oliveira; Andrea Name Colado Simão; Wildea Lice de Carvalho Jennings Pereira; Daniela Frizon Alfieri; Tamires Flauzino; Caio de Meleck Proença; Marcell Alysson Batisti Lozovoy; Damacio Ramón Kaimen-Maciel; Michael Maes
Journal:  Mol Neurobiol       Date:  2016-01-05       Impact factor: 5.590

6.  Pluripotent protective effects of carnosine, a naturally occurring dipeptide.

Authors:  A R Hipkiss; J E Preston; D T Himsworth; V C Worthington; M Keown; J Michaelis; J Lawrence; A Mateen; L Allende; P A Eagles; N J Abbott
Journal:  Ann N Y Acad Sci       Date:  1998-11-20       Impact factor: 5.691

7.  Uric acid: a potential biomarker of multiple sclerosis and of its disability.

Authors:  Marcello Moccia; Roberta Lanzillo; Raffaele Palladino; Cinzia Russo; Antonio Carotenuto; Marco Massarelli; Giovanni Vacca; Veria Vacchiano; Antonio Nardone; Maria Triassi; Vincenzo Brescia Morra
Journal:  Clin Chem Lab Med       Date:  2015-04       Impact factor: 3.694

8.  A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis.

Authors:  Alex M Dickens; James R Larkin; Julian L Griffin; Ana Cavey; Lucy Matthews; Martin R Turner; Gordon K Wilcock; Benjamin G Davis; Timothy D W Claridge; Jacqueline Palace; Daniel C Anthony; Nicola R Sibson
Journal:  Neurology       Date:  2014-09-24       Impact factor: 9.910

Review 9.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria".

Authors:  Chris H Polman; Stephen C Reingold; Gilles Edan; Massimo Filippi; Hans-Peter Hartung; Ludwig Kappos; Fred D Lublin; Luanne M Metz; Henry F McFarland; Paul W O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Brian G Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2005-12       Impact factor: 10.422

10.  Intercenter agreement of brain atrophy measurement in multiple sclerosis patients using manually-edited SIENA and SIENAX.

Authors:  Bas Jasperse; Paola Valsasina; Veronica Neacsu; Dirk L Knol; Nicola De Stefano; Christian Enzinger; Stephen M Smith; Stefan Ropele; Tijmen Korteweg; Antonio Giorgio; Valerie Anderson; Chris H Polman; Massimo Filippi; David H Miller; Marco Rovaris; Frederik Barkhof; Hugo Vrenken
Journal:  J Magn Reson Imaging       Date:  2007-10       Impact factor: 4.813

View more
  22 in total

1.  Hypoxanthine is a checkpoint stress metabolite in colonic epithelial energy modulation and barrier function.

Authors:  J Scott Lee; Ruth X Wang; Erica E Alexeev; Jordi M Lanis; Kayla D Battista; Louise E Glover; Sean P Colgan
Journal:  J Biol Chem       Date:  2018-02-27       Impact factor: 5.157

2.  Serum Histidine is Lower in Fatigued Women with Multiple Sclerosis.

Authors:  Bryan D Loy; Brett W Fling; Kylie M Sage; Rebecca I Spain; Fay B Horak
Journal:  Fatigue       Date:  2019-05-07

3.  Fructose-1,6-Bisphosphate Protects Hippocampal Rat Slices from NMDA Excitotoxicity.

Authors:  Kamal M Yakoub; Giacomo Lazzarino; Angela M Amorini; Giuseppe Caruso; Concetta Scazzone; Marcello Ciaccio; Barbara Tavazzi; Giuseppe Lazzarino; Antonio Belli; Valentina Di Pietro
Journal:  Int J Mol Sci       Date:  2019-05-07       Impact factor: 5.923

4.  Shortage of Cellular ATP as a Cause of Diseases and Strategies to Enhance ATP.

Authors:  Todd A Johnson; H A Jinnah; Naoyuki Kamatani
Journal:  Front Pharmacol       Date:  2019-02-19       Impact factor: 5.810

5.  MRI phenotypes in MS: Longitudinal changes and miRNA signatures.

Authors:  Christopher C Hemond; Brian C Healy; Shahamat Tauhid; Maria A Mazzola; Francisco J Quintana; Roopali Gandhi; Howard L Weiner; Rohit Bakshi
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2019-02-14

Review 6.  Uric Acid and Hypertension: An Update With Recommendations.

Authors:  Laura G Sanchez-Lozada; Bernardo Rodriguez-Iturbe; Eric E Kelley; Takahiko Nakagawa; Magdalena Madero; Dan I Feig; Claudio Borghi; Federica Piani; Gabriel Cara-Fuentes; Petter Bjornstad; Miguel A Lanaspa; Richard J Johnson
Journal:  Am J Hypertens       Date:  2020-07-18       Impact factor: 3.080

7.  A blood-based metabolomics test to distinguish relapsing-remitting and secondary progressive multiple sclerosis: addressing practical considerations for clinical application.

Authors:  Tianrong Yeo; Megan Sealey; Yifan Zhou; Luisa Saldana; Samantha Loveless; Timothy D W Claridge; Neil Robertson; Gabriele DeLuca; Jacqueline Palace; Daniel C Anthony; Fay Probert
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.996

8.  An association study of severity of intellectual disability with peripheral biomarkers of disabled children in a rehabilitation home, Kolkata, India.

Authors:  Aaveri Sengupta; Ujjal Das; Krishnendu Manna; Sushobhan Biswas; Siddhartha Datta; Amitava Khan; Tuhin Bhattacharya; Samrat Saha; Tapashi Mitra; Swapan Mukherjee; Anup K Sadhu; Suhrita Paul; Saurabh Ghosh; Rakhi Dey Sharma; Sanjit Dey
Journal:  Sci Rep       Date:  2019-09-20       Impact factor: 4.379

Review 9.  Antioxidant Therapies in Traumatic Brain Injury.

Authors:  Valentina Di Pietro; Kamal M Yakoub; Giuseppe Caruso; Giacomo Lazzarino; Stefano Signoretti; Aron K Barbey; Barbara Tavazzi; Giuseppe Lazzarino; Antonio Belli; Angela Maria Amorini
Journal:  Antioxidants (Basel)       Date:  2020-03-22

Review 10.  Detecting neurodegenerative pathology in multiple sclerosis before irreversible brain tissue loss sets in.

Authors:  Jeroen Van Schependom; Kaat Guldolf; Marie Béatrice D'hooghe; Guy Nagels; Miguel D'haeseleer
Journal:  Transl Neurodegener       Date:  2019-12-09       Impact factor: 8.014

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.