Literature DB >> 31305322

VGF in Cerebrospinal Fluid Combined With Conventional Biomarkers Enhances Prediction of Conversion From MCI to AD.

Daniel A Llano1,2, Priya Devanarayan3, Viswanath Devanarayan4,5.   

Abstract

BACKGROUND: Previous work has suggested that the brain and cerebrospinal fluid (CSF) levels of a neural protein involved in synaptic transmission, VGF (a noninitialism), may be altered in mild cognitive impairment (MCI) and Alzheimer Disease (AD). The objective of the current work is to examine the potential of CSF levels of a peptide derived from VGF to predict conversion from MCI to AD.
MATERIALS AND METHODS: Using multivariate analytical approaches, the performance of the conventional biomarkers (CSF Aβ1-42 and phosphorylated tau +/- hippocampal volume) was compared with the same biomarkers combined with CSF VGF peptide levels in a large publicly available data set from human subjects.
RESULTS: It was observed that VGF peptides are lowered in CSF of patients with AD compared with controls and that combinations of CSF Aβ1-42 and phosphorylated tau, hippocampal volume, and VGF peptide levels outperformed conventional biomarkers alone (hazard ratio=2.2 vs. 3.9), for predicting MCI to AD conversion.
CONCLUSIONS: CSF VGF enhances the ability of conventional biomarkers to predict MCI to AD conversion. Future work will be needed to determine the specificity of VGF for AD versus other neurodegenerative diseases.

Entities:  

Year:  2019        PMID: 31305322     DOI: 10.1097/WAD.0000000000000328

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  11 in total

1.  Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer's Disease Progression.

Authors:  Bing Bai; Xusheng Wang; Yuxin Li; Ping-Chung Chen; Kaiwen Yu; Kaushik Kumar Dey; Jay M Yarbro; Xian Han; Brianna M Lutz; Shuquan Rao; Yun Jiao; Jeffrey M Sifford; Jonghee Han; Minghui Wang; Haiyan Tan; Timothy I Shaw; Ji-Hoon Cho; Suiping Zhou; Hong Wang; Mingming Niu; Ariana Mancieri; Kaitlynn A Messler; Xiaojun Sun; Zhiping Wu; Vishwajeeth Pagala; Anthony A High; Wenjian Bi; Hui Zhang; Hongbo Chi; Vahram Haroutunian; Bin Zhang; Thomas G Beach; Gang Yu; Junmin Peng
Journal:  Neuron       Date:  2020-01-08       Impact factor: 17.173

2.  Cerebrospinal fluid growth-associated protein 43 levels in patients with progressive and stable mild cognitive impairment.

Authors:  Yuanyuan Lu
Journal:  Aging Clin Exp Res       Date:  2022-08-21       Impact factor: 4.481

Review 3.  Biomarkers of Dementia with Lewy Bodies: Differential Diagnostic with Alzheimer's Disease.

Authors:  Olivier Bousiges; Frédéric Blanc
Journal:  Int J Mol Sci       Date:  2022-06-07       Impact factor: 6.208

4.  The VGF-derived Peptide TLQP21 Impairs Purinergic Control of Chemotaxis and Phagocytosis in Mouse Microglia.

Authors:  Nirmeen Elmadany; Felipe de Almeida Sassi; Stefan Wendt; Francesca Logiacco; Josien Visser; Verena Haage; Daniel Perez Hernandez; Philipp Mertins; Dolores Hambardzumyan; Susanne Wolf; Helmut Kettenmann; Marcus Semtner
Journal:  J Neurosci       Date:  2020-02-14       Impact factor: 6.167

5.  Proteomic and biological profiling of extracellular vesicles from Alzheimer's disease human brain tissues.

Authors:  Satoshi Muraoka; Annina M DeLeo; Manveen K Sethi; Kayo Yukawa-Takamatsu; Zijian Yang; Jina Ko; John D Hogan; Zhi Ruan; Yang You; Yuzhi Wang; Maria Medalla; Seiko Ikezu; Mei Chen; Weiming Xia; Santhi Gorantla; Howard E Gendelman; David Issadore; Joseph Zaia; Tsuneya Ikezu
Journal:  Alzheimers Dement       Date:  2020-04-17       Impact factor: 21.566

6.  A Machine Learning Classifier for Predicting Stable MCI Patients Using Gene Biomarkers.

Authors:  Run-Hsin Lin; Chia-Chi Wang; Chun-Wei Tung
Journal:  Int J Environ Res Public Health       Date:  2022-04-15       Impact factor: 4.614

Review 7.  A comprehensive systematic review of CSF proteins and peptides that define Alzheimer's disease.

Authors:  Juan R Peinado; Yoana Rabanal-Ruiz; Cristina M Pedrero-Prieto; Sonia García-Carpintero; Javier Frontiñán-Rubio; Emilio Llanos-González; Cristina Aguilera García; Francisco J Alcaín; Iris Lindberg; Mario Durán-Prado
Journal:  Clin Proteomics       Date:  2020-06-05       Impact factor: 3.988

8.  Transcriptomic and Network Analysis Identifies Shared and Unique Pathways across Dementia Spectrum Disorders.

Authors:  Jose A Santiago; Virginie Bottero; Judith A Potashkin
Journal:  Int J Mol Sci       Date:  2020-03-17       Impact factor: 5.923

9.  Reduced serum VGF levels are linked with suicide risk in Chinese Han patients with major depressive disorder.

Authors:  Xingxing Li; Huifei Ge; Dongsheng Zhou; Xiangping Wu; Gangqiao Qi; Zan Chen; Chang Yu; Yuanyuan Zhang; Haihang Yu; Chuang Wang
Journal:  BMC Psychiatry       Date:  2020-05-12       Impact factor: 3.630

10.  VGF Peptides in Cerebrospinal Fluid of Patients with Dementia with Lewy Bodies.

Authors:  Inger van Steenoven; Barbara Noli; Cristina Cocco; Gian-Luca Ferri; Patrick Oeckl; Markus Otto; Marleen J A Koel-Simmelink; Claire Bridel; Wiesje M van der Flier; Afina W Lemstra; Charlotte E Teunissen
Journal:  Int J Mol Sci       Date:  2019-09-20       Impact factor: 5.923

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