Literature DB >> 34077937

Association between Circulating Protein C Levels and Incident Dementia: The Atherosclerosis Risk in Communities Study.

Adrienne Tin1,2, Keenan A Walker3, Jan Bressler4, B Gwen Windham1, Michael Griswold1, Kevin Sullivan1, Aozhou Wu2, Rebecca Gottesman5, Myriam Fornage4, Josef Coresh2, A Richey Sharrett2, Aaron R Folsom6, Thomas H Mosley1.   

Abstract

INTRODUCTION: Hemostasis depends on the delicate balance between coagulants and anticoagulants. Higher levels of circulating coagulants have been associated with higher risk of cerebral infarctions and dementia. In contrast, higher levels of circulating protein C, an endogenous anticoagulant, have been associated with lower risk of cerebral infarctions, and the association between protein C levels and the risk of dementia is unknown. The goal of this study was to evaluate the association of circulating protein C levels in midlife and late life with incident dementia.
METHODS: Circulating protein C levels were measured using blood samples collected at the midlife baseline (1987-1989) and the late-life baseline (2011-2013) among 14,462 and 3,614 participants, respectively, in the Atherosclerosis Risk in Communities study. Protein C levels were measured using enzyme-linked immunosorbent assay at midlife and a modified aptamer-based assay at late life. Participants were followed up to 2013 from midlife and up to 2017 from late life. Incident dementia was ascertained during the follow-up periods using in-person cognitive and functional assessment, informant interviews, and International Classification of Diseases codes at hospitalization discharge and on death certificates. Cause-specific Cox regression models were used to evaluate the association between quintiles of circulating protein C and incident dementia.
RESULTS: From midlife (mean age of 54), 1,389 incident dementia events were observed over a median follow-up of 23 years. From late life (mean age of 75), 353 incident dementia events were observed over a median follow-up of 4.9 years. At both midlife and late life, circulating protein C had an inverse association with incident dementia after adjusting for demographic, vascular, and hemostatic risk factors, incident stroke as time-dependent covariate, and incorporating stabilized weights based on propensity scores (quintile 5 vs. quintile 1 as the reference, midlife hazard ratio 0.80, 95% confidence interval 0.66-0.96, p value for trend 0.04; late-life hazard ratio 0.84, 95% confidence interval: 0.55-1.28, p value for trend 0.04). DISCUSSION/
CONCLUSION: Circulating protein C has an inverse association with incident dementia independent of established risk factors, including stroke. Our results suggest studying anticoagulants in addition to coagulants can increase our understanding on the relationship between hemostasis and dementia.
© 2021 The Author(s) Published by S. Karger AG, Basel.

Entities:  

Keywords:  Dementia; Hemostasis; Protein C

Mesh:

Substances:

Year:  2021        PMID: 34077937      PMCID: PMC8292178          DOI: 10.1159/000516287

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   5.393


  47 in total

1.  The stability of the circulating human proteome to variations in sample collection and handling procedures measured with an aptamer-based proteomics array.

Authors:  Rachel Ostroff; Trudi Foreman; Tracy R Keeney; Suzanne Stratford; Jeffrey J Walker; Dom Zichi
Journal:  J Proteomics       Date:  2009-09-13       Impact factor: 4.044

2.  Stroke incidence and survival among middle-aged adults: 9-year follow-up of the Atherosclerosis Risk in Communities (ARIC) cohort.

Authors:  W D Rosamond; A R Folsom; L E Chambless; C H Wang; P G McGovern; G Howard; L S Copper; E Shahar
Journal:  Stroke       Date:  1999-04       Impact factor: 7.914

Review 3.  Atrial Fibrillation and Mechanisms of Stroke: Time for a New Model.

Authors:  Hooman Kamel; Peter M Okin; Mitchell S V Elkind; Costantino Iadecola
Journal:  Stroke       Date:  2016-01-19       Impact factor: 7.914

4.  The Impact of the Glomerular Filtration Rate on the Human Plasma Proteome.

Authors:  Anders Christensson; Jessica A Ash; Robert K DeLisle; Fraser W Gaspar; Rachel Ostroff; Anders Grubb; Veronica Lindström; Laila Bruun; Steve A Williams
Journal:  Proteomics Clin Appl       Date:  2018-01-31       Impact factor: 3.494

5.  Is sticky blood bad for the brain?: Hemostatic and inflammatory systems and dementia in the Caerphilly Prospective Study.

Authors:  John Gallacher; Antony Bayer; Gordon Lowe; Mark Fish; Janet Pickering; Sofia Pedro; Frank Dunstan; James White; John Yarnell; Yoav Ben-Shlomo
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-12-03       Impact factor: 8.311

6.  Short-term intraindividual variability in hemostasis factors. The ARIC Study. Atherosclerosis Risk in Communities Intraindividual Variability Study.

Authors:  L E Chambless; R McMahon; K Wu; A Folsom; A Finch; Y L Shen
Journal:  Ann Epidemiol       Date:  1992-09       Impact factor: 3.797

7.  Aptamer-based multiplexed proteomic technology for biomarker discovery.

Authors:  Larry Gold; Deborah Ayers; Jennifer Bertino; Christopher Bock; Ashley Bock; Edward N Brody; Jeff Carter; Andrew B Dalby; Bruce E Eaton; Tim Fitzwater; Dylan Flather; Ashley Forbes; Trudi Foreman; Cate Fowler; Bharat Gawande; Meredith Goss; Magda Gunn; Shashi Gupta; Dennis Halladay; Jim Heil; Joe Heilig; Brian Hicke; Gregory Husar; Nebojsa Janjic; Thale Jarvis; Susan Jennings; Evaldas Katilius; Tracy R Keeney; Nancy Kim; Tad H Koch; Stephan Kraemer; Luke Kroiss; Ngan Le; Daniel Levine; Wes Lindsey; Bridget Lollo; Wes Mayfield; Mike Mehan; Robert Mehler; Sally K Nelson; Michele Nelson; Dan Nieuwlandt; Malti Nikrad; Urs Ochsner; Rachel M Ostroff; Matt Otis; Thomas Parker; Steve Pietrasiewicz; Daniel I Resnicow; John Rohloff; Glenn Sanders; Sarah Sattin; Daniel Schneider; Britta Singer; Martin Stanton; Alana Sterkel; Alex Stewart; Suzanne Stratford; Jonathan D Vaught; Mike Vrkljan; Jeffrey J Walker; Mike Watrobka; Sheela Waugh; Allison Weiss; Sheri K Wilcox; Alexey Wolfson; Steven K Wolk; Chi Zhang; Dom Zichi
Journal:  PLoS One       Date:  2010-12-07       Impact factor: 3.240

8.  Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

Authors:  Peter C Austin; Douglas S Lee; Jason P Fine
Journal:  Circulation       Date:  2016-02-09       Impact factor: 29.690

9.  Alzheimer disease and platelets: how's that relevant.

Authors:  Silvia Catricala; Mauro Torti; Giovanni Ricevuti
Journal:  Immun Ageing       Date:  2012-09-17       Impact factor: 6.400

10.  Association of Atrial Fibrillation With Cognitive Decline and Dementia Over 20 Years: The ARIC-NCS (Atherosclerosis Risk in Communities Neurocognitive Study).

Authors:  Lin Y Chen; Faye L Norby; Rebecca F Gottesman; Thomas H Mosley; Elsayed Z Soliman; Sunil K Agarwal; Laura R Loehr; Aaron R Folsom; Josef Coresh; Alvaro Alonso
Journal:  J Am Heart Assoc       Date:  2018-03-07       Impact factor: 5.501

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  1 in total

Review 1.  Understanding COVID-19-associated coagulopathy.

Authors:  Edward M Conway; Nigel Mackman; Ronald Q Warren; Alisa S Wolberg; Laurent O Mosnier; Robert A Campbell; Lisa E Gralinski; Matthew T Rondina; Frank L van de Veerdonk; Karin M Hoffmeister; John H Griffin; Diane Nugent; Kyung Moon; James H Morrissey
Journal:  Nat Rev Immunol       Date:  2022-08-05       Impact factor: 108.555

  1 in total

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