Literature DB >> 31222062

SILK studies - capturing the turnover of proteins linked to neurodegenerative diseases.

Ross W Paterson1, Audrey Gabelle2,3,4, Brendan P Lucey5, Nicolas R Barthélemy5, Claire A Leckey6, Christophe Hirtz2,3,4, Sylvain Lehmann2,3,4, Chihiro Sato5, Bruce W Patterson7, Tim West8, Kevin Yarasheski8, Jonathan D Rohrer9, Norelle C Wildburger5, Jonathan M Schott9, Celeste M Karch10, Selina Wray6, Timothy M Miller5, Donald L Elbert11, Henrik Zetterberg9,12,13,14, Nick C Fox9, Randall J Bateman5.   

Abstract

Alzheimer disease (n class="Disease">AD) is one of several neurodegenerative diseases characterized by dysregulation, misfolding and accumulation of specific proteins in the CNS. The stable isotope labelling kinetics (SILK) technique is based on generating amino acids labelled with naturally occurring stable (that is, nonradioactive) isotopes of carbon and/or nitrogen. These labelled amino acids can then be incorporated into proteins, enabling rates of protein production and clearance to be determined in vivo and in vitro without the use of radioactive or chemical labels. Over the past decade, SILK studies have been used to determine the turnover of key pathogenic proteins amyloid-β (Aβ), tau and superoxide dismutase 1 (SOD1) in the cerebrospinal fluid of healthy individuals, patients with AD and those with other neurodegenerative diseases. These studies led to the identification of several factors that alter the production and/or clearance of these proteins, including age, sleep and disease-causing genetic mutations. SILK studies have also been used to measure Aβ turnover in blood and within brain tissue. SILK studies offer the potential to elucidate the mechanisms underlying various neurodegenerative disease mechanisms, including neuroinflammation and synaptic dysfunction, and to demonstrate target engagement of novel disease-modifying therapies.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31222062      PMCID: PMC6876864          DOI: 10.1038/s41582-019-0222-0

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN: 1759-4758            Impact factor:   42.937


  45 in total

Review 1.  Alzheimer's disease is a synaptic failure.

Authors:  Dennis J Selkoe
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

2.  Alzheimer's disease risk gene CD33 inhibits microglial uptake of amyloid beta.

Authors:  Ana Griciuc; Alberto Serrano-Pozo; Antonio R Parrado; Andrea N Lesinski; Caroline N Asselin; Kristina Mullin; Basavaraj Hooli; Se Hoon Choi; Bradley T Hyman; Rudolph E Tanzi
Journal:  Neuron       Date:  2013-04-25       Impact factor: 17.173

3.  CNS amyloid-β, soluble APP-α and -β kinetics during BACE inhibition.

Authors:  Justyna A Dobrowolska; Maria S Michener; Guoxin Wu; Bruce W Patterson; Robert Chott; Vitaliy Ovod; Yuriy Pyatkivskyy; Kristin R Wildsmith; Tom Kasten; Parker Mathers; Mandy Dancho; Christina Lennox; Brad E Smith; David Gilberto; Debra McLoughlin; Daniel J Holder; Andrew W Stamford; Kevin E Yarasheski; Matthew E Kennedy; Mary J Savage; Randall J Bateman
Journal:  J Neurosci       Date:  2014-06-11       Impact factor: 6.167

4.  In vivo kinetic approach reveals slow SOD1 turnover in the CNS.

Authors:  Matthew J Crisp; Kwasi G Mawuenyega; Bruce W Patterson; Naveen C Reddy; Robert Chott; Wade K Self; Conrad C Weihl; Jennifer Jockel-Balsarotti; Arun S Varadhachary; Robert C Bucelli; Kevin E Yarasheski; Randall J Bateman; Timothy M Miller
Journal:  J Clin Invest       Date:  2015-06-15       Impact factor: 14.808

Review 5.  Cerebrospinal fluid and plasma biomarkers in Alzheimer disease.

Authors:  Kaj Blennow; Harald Hampel; Michael Weiner; Henrik Zetterberg
Journal:  Nat Rev Neurol       Date:  2010-02-16       Impact factor: 42.937

Review 6.  Cerebrovascular effects of apolipoprotein E: implications for Alzheimer disease.

Authors:  Berislav V Zlokovic
Journal:  JAMA Neurol       Date:  2013-04       Impact factor: 18.302

7.  Extracellular Tau levels are influenced by variability in Tau that is associated with tauopathies.

Authors:  Celeste M Karch; Amanda T Jeng; Alison M Goate
Journal:  J Biol Chem       Date:  2012-10-26       Impact factor: 5.157

8.  Increased in vivo amyloid-β42 production, exchange, and loss in presenilin mutation carriers.

Authors:  Rachel Potter; Bruce W Patterson; Donald L Elbert; Vitaliy Ovod; Tom Kasten; Wendy Sigurdson; Kwasi Mawuenyega; Tyler Blazey; Alison Goate; Robert Chott; Kevin E Yarasheski; David M Holtzman; John C Morris; Tammie L S Benzinger; Randall J Bateman
Journal:  Sci Transl Med       Date:  2013-06-12       Impact factor: 17.956

9.  A gamma-secretase inhibitor decreases amyloid-beta production in the central nervous system.

Authors:  Randall J Bateman; Eric R Siemers; Kwasi G Mawuenyega; Guolin Wen; Karen R Browning; Wendy C Sigurdson; Kevin E Yarasheski; Stuart W Friedrich; Ronald B Demattos; Patrick C May; Steven M Paul; David M Holtzman
Journal:  Ann Neurol       Date:  2009-07       Impact factor: 10.422

10.  sTREM2 cerebrospinal fluid levels are a potential biomarker for microglia activity in early-stage Alzheimer's disease and associate with neuronal injury markers.

Authors:  Marc Suárez-Calvet; Gernot Kleinberger; Miguel Ángel Araque Caballero; Matthias Brendel; Axel Rominger; Daniel Alcolea; Juan Fortea; Alberto Lleó; Rafael Blesa; Juan Domingo Gispert; Raquel Sánchez-Valle; Anna Antonell; Lorena Rami; José L Molinuevo; Frederic Brosseron; Andreas Traschütz; Michael T Heneka; Hanne Struyfs; Sebastiaan Engelborghs; Kristel Sleegers; Christine Van Broeckhoven; Henrik Zetterberg; Bengt Nellgård; Kaj Blennow; Alexander Crispin; Michael Ewers; Christian Haass
Journal:  EMBO Mol Med       Date:  2016-05-02       Impact factor: 12.137

View more
  20 in total

1.  Impact of increased APP gene dose in Down syndrome and the Dp16 mouse model.

Authors:  Mariko Sawa; Cassia Overk; Ann Becker; Dominique Derse; Ricardo Albay; Kim Weldy; Ahmad Salehi; Thomas G Beach; Eric Doran; Elizabeth Head; Y Eugene Yu; William C Mobley
Journal:  Alzheimers Dement       Date:  2021-11-10       Impact factor: 16.655

Review 2.  It's complicated: The relationship between sleep and Alzheimer's disease in humans.

Authors:  Brendan P Lucey
Journal:  Neurobiol Dis       Date:  2020-07-29       Impact factor: 5.996

Review 3.  Methods to measure, model and manipulate fluid flow in brain.

Authors:  Krishnashis Chatterjee; Cora M Carman-Esparza; Jennifer M Munson
Journal:  J Neurosci Methods       Date:  2019-12-12       Impact factor: 2.390

4.  Protein turnover models for LC-MS data of heavy water metabolic labeling.

Authors:  Rovshan G Sadygov
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

5.  Variant-dependent heterogeneity in amyloid β burden in autosomal dominant Alzheimer's disease: cross-sectional and longitudinal analyses of an observational study.

Authors:  Jasmeer P Chhatwal; Stephanie A Schultz; Eric McDade; Aaron P Schultz; Lei Liu; Bernard J Hanseeuw; Nelly Joseph-Mathurin; Rebecca Feldman; Colleen D Fitzpatrick; Kathryn P Sparks; Johannes Levin; Sarah B Berman; Alan E Renton; Bianca T Esposito; Maria Vitoria Fernandez; Yun Ju Sung; Jae Hong Lee; William E Klunk; Anna Hofmann; James M Noble; Neill Graff-Radford; Hiroshi Mori; Steven M Salloway; Colin L Masters; Ralph Martins; Celeste M Karch; Chengjie Xiong; Carlos Cruchaga; Richard J Perrin; Brian A Gordon; Tammie L S Benzinger; Nick C Fox; Peter R Schofield; Anne M Fagan; Alison M Goate; John C Morris; Randall J Bateman; Keith A Johnson; Reisa A Sperling
Journal:  Lancet Neurol       Date:  2022-02       Impact factor: 44.182

Review 6.  Neurofilaments: neurobiological foundations for biomarker applications.

Authors:  Arie R Gafson; Nicolas R Barthélemy; Pascale Bomont; Roxana O Carare; Heather D Durham; Jean-Pierre Julien; Jens Kuhle; David Leppert; Ralph A Nixon; Roy O Weller; Henrik Zetterberg; Paul M Matthews
Journal:  Brain       Date:  2020-07-01       Impact factor: 13.501

7.  Evaluation of SAMP8 Mice as a Model for Sleep-Wake and Rhythm Disturbances Associated with Alzheimer's Disease: Impact of Treatment with the Dual Orexin (Hypocretin) Receptor Antagonist Lemborexant.

Authors:  Carsten T Beuckmann; Hiroyuki Suzuki; Erik S Musiek; Takashi Ueno; Toshitaka Sato; Masahiro Bando; Yoshihide Osada; Margaret Moline
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

Review 8.  Using stable isotope labeling to advance our understanding of Alzheimer's disease etiology and pathology.

Authors:  Timothy J Hark; Jeffrey N Savas
Journal:  J Neurochem       Date:  2021-02-02       Impact factor: 5.546

9.  Following spatial Aβ aggregation dynamics in evolving Alzheimer's disease pathology by imaging stable isotope labeling kinetics.

Authors:  Wojciech Michno; Katie M Stringer; Thomas Enzlein; Melissa K Passarelli; Stephane Escrig; Karina Vitanova; Jack Wood; Kaj Blennow; Henrik Zetterberg; Anders Meibom; Carsten Hopf; Frances A Edwards; Jörg Hanrieder
Journal:  Sci Adv       Date:  2021-06-16       Impact factor: 14.136

10.  Drug Development for Psychotropic, Cognitive-Enhancing, and Disease-Modifying Treatments for Alzheimer's Disease.

Authors:  Jeffrey Cummings
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2020-10-28       Impact factor: 2.198

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.