Literature DB >> 22123177

Optimal plasma progranulin cutoff value for predicting null progranulin mutations in neurodegenerative diseases: a multicenter Italian study.

Roberta Ghidoni1, Elena Stoppani, Giacomina Rossi, Elena Piccoli, Valentina Albertini, Anna Paterlini, Michela Glionna, Eleonora Pegoiani, Luigi F Agnati, Chiara Fenoglio, Elio Scarpini, Daniela Galimberti, Michela Morbin, Fabrizio Tagliavini, Giuliano Binetti, Luisa Benussi.   

Abstract

BACKGROUND: Recently, attention was drawn to a role for progranulin in the central nervous system with the identification of mutations in the progranulin gene (GRN) as an important cause of frontotemporal lobar degeneration. GRN mutations are associated with a strong reduction of circulating progranulin and widely variable clinical phenotypes: thus, the dosage of plasma progranulin is a useful tool for a quick and inexpensive large-scale screening of carriers of GRN mutations.
OBJECTIVE: To establish the best cutoff threshold for normal versus abnormal levels of plasma progranulin.
METHODS: 309 cognitively healthy controls (25-87 years of age), 72 affected and unaffected GRN+ null mutation carriers (24-86 years of age), 3 affected GRN missense mutation carriers, 342 patients with neurodegenerative diseases and 293 subjects with mild cognitive impairment were enrolled at the Memory Clinic, IRCCS S. Giovanni di Dio-Fatebenefratelli, Brescia, Italy, and at the Alzheimer Unit, Ospedale Maggiore Policlinico and IRCCS Istituto Neurologico C. Besta, Milan, Italy. Plasma progranulin levels were measured using an ELISA kit (AdipoGen Inc., Seoul, Korea).
RESULTS: Plasma progranulin did not correlate with age, gender or body mass index. We established a new plasma progranulin protein cutoff level of 61.55 ng/ml that identifies, with a specificity of 99.6% and a sensitivity of 95.8%, null mutation carriers among subjects attending to a memory clinic. Affected and unaffected GRN null mutation carriers did not differ in terms of circulating progranulin protein (p = 0.686). A significant disease anticipation was observed in GRN+ subjects with the lowest progranulin levels.
CONCLUSION: We propose a new plasma progranulin protein cutoff level useful for clinical practice.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 22123177     DOI: 10.1159/000333132

Source DB:  PubMed          Journal:  Neurodegener Dis        ISSN: 1660-2854            Impact factor:   2.977


  23 in total

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Authors:  A Alberici; S Archetti; A Pilotto; E Premi; M Cosseddu; A Bianchetti; F Semeraro; M Salvetti; M L Muiesan; A Padovani; B Borroni
Journal:  Neurol Sci       Date:  2014-02-26       Impact factor: 3.307

Review 2.  The behavioral variant of frontotemporal dementia: linking neuropathology to social cognition.

Authors:  Chiara Cerami; Stefano F Cappa
Journal:  Neurol Sci       Date:  2013-02-03       Impact factor: 3.307

3.  GRN and MAPT Mutations in 2 Frontotemporal Dementia Research Centers in Brazil.

Authors:  Leonel T Takada; Valeria S Bahia; Henrique C Guimarães; Thais V M M Costa; Thiago C Vale; Roberta D Rodriguez; Fabio H G Porto; João C B Machado; Rogério G Beato; Karolina G Cesar; Jerusa Smid; Camila F Nascimento; Lea T Grinberg; Sonia M D Brucki; Jessica R Maximino; Sarah T Camargos; Gerson Chadi; Paulo Caramelli; Ricardo Nitrini
Journal:  Alzheimer Dis Assoc Disord       Date:  2016 Oct-Dec       Impact factor: 2.703

4.  Strikingly different clinicopathological phenotypes determined by progranulin-mutation dosage.

Authors:  Katherine R Smith; John Damiano; Silvana Franceschetti; Stirling Carpenter; Laura Canafoglia; Michela Morbin; Giacomina Rossi; Davide Pareyson; Sara E Mole; John F Staropoli; Katherine B Sims; Jada Lewis; Wen-Lang Lin; Dennis W Dickson; Hans-Henrik Dahl; Melanie Bahlo; Samuel F Berkovic
Journal:  Am J Hum Genet       Date:  2012-05-17       Impact factor: 11.025

5.  Fluid Biomarkers of Frontotemporal Lobar Degeneration.

Authors:  Emma L van der Ende; John C van Swieten
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  TMEM106B p.T185S regulates TMEM106B protein levels: implications for frontotemporal dementia.

Authors:  Alexandra M Nicholson; Nicole A Finch; Aleksandra Wojtas; Matt C Baker; Ralph B Perkerson; Monica Castanedes-Casey; Linda Rousseau; Luisa Benussi; Giuliano Binetti; Roberta Ghidoni; Ging-Yuek R Hsiung; Ian R Mackenzie; Elizabeth Finger; Bradley F Boeve; Nilüfer Ertekin-Taner; Neill R Graff-Radford; Dennis W Dickson; Rosa Rademakers
Journal:  J Neurochem       Date:  2013-07-01       Impact factor: 5.372

7.  Circulating progranulin as a biomarker for neurodegenerative diseases.

Authors:  Roberta Ghidoni; Anna Paterlini; Luisa Benussi
Journal:  Am J Neurodegener Dis       Date:  2012-08-02

Review 8.  The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases.

Authors:  Filippo Baldacci; Sonia Mazzucchi; Alessandra Della Vecchia; Linda Giampietri; Nicola Giannini; Maya Koronyo-Hamaoui; Roberto Ceravolo; Gabriele Siciliano; Ubaldo Bonuccelli; Fanny M Elahi; Andrea Vergallo; Simone Lista; Filippo Sean Giorgi; Harald Hampel
Journal:  Expert Rev Mol Diagn       Date:  2020-02-27       Impact factor: 5.225

9.  Partial deletions of the GRN gene are a cause of frontotemporal lobar degeneration.

Authors:  Fabienne Clot; Anne Rovelet-Lecrux; Foudil Lamari; Sandrine Noël; Boris Keren; Agnès Camuzat; Agnès Michon; Ludmila Jornea; Béatrice Laudier; Anne de Septenville; Paola Caroppo; Dominique Campion; Cécile Cazeneuve; Alexis Brice; Eric LeGuern; Isabelle Le Ber
Journal:  Neurogenetics       Date:  2014-01-28       Impact factor: 2.660

10.  Missense mutations in progranulin gene associated with frontotemporal lobar degeneration: study of pathogenetic features.

Authors:  Celeste M Karch; Lubov Ezerskiy; Veronica Redaelli; Anna Rita Giovagnoli; Pietro Tiraboschi; Giuseppe Pelliccioni; Paolo Pelliccioni; Dimos Kapetis; Ilaria D'Amato; Elena Piccoli; Maria Giulia Ferretti; Fabrizio Tagliavini; Giacomina Rossi
Journal:  Neurobiol Aging       Date:  2015-11-02       Impact factor: 4.673

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