Literature DB >> 24022032

Progranulin peripheral levels as a screening tool for the identification of subjects with progranulin mutations in a Portuguese cohort.

Maria Rosário Almeida1, Inês Baldeiras, Maria Helena Ribeiro, Beatriz Santiago, Cristina Machado, João Massano, Joana Guimarães, Catarina Resende Oliveira, Isabel Santana.   

Abstract

BACKGROUND: Progranulin (PGRN) mutations are associated with different clinical phenotypes, including frontotemporal lobar degeneration (FTLD), corticobasal syndrome (CBS) and Alzheimer's disease (AD). As all pathogenic PGRN mutations identified so far cause disease through haploinsufficiency, determination of PGRN levels has been proposed as a reliable method to identify mutation carriers.
OBJECTIVE: To evaluate the accuracy of peripheral PGRN levels in the identification of the PGRN mutation carriers detected thus far in our Portuguese cohort.
METHODS: Serum PGRN levels were measured in 244 subjects (124 patients in the spectrum of FTLD, 2 asymptomatic descendants of a FTLD patient, 56 AD patients and 64 controls) by a novel commercial ELISA kit.
RESULTS: Low PGRN levels were detected in 7 individuals (5 behavioral variant frontotemporal dementia, 1 CBS, and 1 still clinically unaffected) that constituted the group of the null PGRN mutation carriers previously identified in our molecular diagnostic laboratory. The pathogenic mutations found consisted of 4 insertion-deletions, causing frameshifts resulting in premature stop codons, 3 of which were novel. In addition, a normal PGRN level was found in a patient harboring a novel missense variant. For this novel ELISA kit, we established a PGRN cut-off level that identified with 100% accuracy the pathogenic mutation carriers.
CONCLUSION: This study supports the use of a novel assay for the determination of PGRN levels as a screening procedure to identify patients harboring null PGRN mutations. This approach would significantly decrease the required PGRN mutation analysis workload and should be extended to other clinical phenotypes than behavioral variant frontotemporal dementia and to apparently sporadic cases.
Copyright © 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 24022032     DOI: 10.1159/000352022

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


  11 in total

1.  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

2.  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

3.  Interactions Between Weight Loss and Plasma Neurodegenerative Markers for Determining Cognitive Decline Among Community-Dwelling Older Adults.

Authors:  Kelly Virecoulon Giudici; Sophie Guyonnet; John E Morley; Andrew D Nguyen; Geetika Aggarwal; Angelo Parini; Yan Li; Randall J Bateman; Bruno Vellas; Philipe de Souto Barreto
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-06-01       Impact factor: 6.591

4.  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

5.  Peripheral GRN mRNA and Serum Progranulin Levels as a Potential Indicator for Both the Presence of Splice Site Mutations and Individuals at Risk for Frontotemporal Dementia.

Authors:  Gamze Guven; Başar Bilgic; Zeynep Tufekcioglu; Nihan Erginel Unaltuna; Hasmet Hanagasi; Hakan Gurvit; Andrew Singleton; John Hardy; Murat Emre; Cagri Gulec; Jose Bras; Rita Guerreiro; Ebba Lohmann
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

6.  Novel GRN Mutations in Patients with Corticobasal Syndrome.

Authors:  Foad Taghdiri; Christine Sato; Mahdi Ghani; Danielle Moreno; Ekaterina Rogaeva; Maria Carmela Tartaglia
Journal:  Sci Rep       Date:  2016-03-10       Impact factor: 4.379

Review 7.  Unravelling Genetic Factors Underlying Corticobasal Syndrome: A Systematic Review.

Authors:  Federica Arienti; Giulia Lazzeri; Maria Vizziello; Edoardo Monfrini; Nereo Bresolin; Maria Cristina Saetti; Marina Picillo; Giulia Franco; Alessio Di Fonzo
Journal:  Cells       Date:  2021-01-15       Impact factor: 6.600

8.  Neuropsychological features of progranulin-associated frontotemporal dementia: a nested case-control study.

Authors:  Marisa Lima; Miguel Tábuas-Pereira; Diana Duro; João Durães; Daniela Vieira; Inês Baldeiras; Maria Rosário Almeida; Isabel Santana
Journal:  Neural Regen Res       Date:  2021-05       Impact factor: 5.135

9.  Serum progranulin is not associated with rs5848 polymorphism in Korean patients with neurodegenerative diseases.

Authors:  Na-Yeon Jung; Hyang-Sook Kim; Eun Soo Kim; Sumin Jeon; Myung Jun Lee; Kyoungjune Pak; Jae-Hyeok Lee; Young Min Lee; Kangyoon Lee; Jin-Hong Shin; Jun Kyeung Ko; Jae Meen Lee; Jin A Yoon; Chungsu Hwang; Kyung-Un Choi; Gi Yeong Huh; Young-Eun Kim; Eun-Joo Kim
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

Review 10.  Phenotypic Heterogeneity of Monogenic Frontotemporal Dementia.

Authors:  Alberto Benussi; Alessandro Padovani; Barbara Borroni
Journal:  Front Aging Neurosci       Date:  2015-09-01       Impact factor: 5.750

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