Literature DB >> 20417516

Correlation between images of silent brain infarction, carotid atherosclerosis and white matter hyperintensity, and plasma levels of acrolein, IL-6 and CRP.

Madoka Yoshida1, Kyohei Higashi, Eiichi Kobayashi, Naokatsu Saeki, Kenji Wakui, Tadafumi Kusaka, Hirotaka Takizawa, Koichi Kashiwado, Norikazu Suzuki, Kazumasa Fukuda, Takao Nakamura, Sakae Watanabe, Kei Tada, Yoshiki Machi, Mutsumi Mizoi, Toshihiko Toida, Tetsuto Kanzaki, Hideyuki Tomitori, Keiko Kashiwagi, Kazuei Igarashi.   

Abstract

OBJECTIVE: We found previously that the measurement of plasma levels of protein-conjugated acrolein (PC-Acro) together with IL-6 and CRP can be used to identify silent brain infarction (SBI) with high sensitivity and specificity. The aim of this study was to clarify how three biochemical markers are correlated to SBI, carotid atherosclerosis (CA) and white matter hyperintensity (WMH).
METHODS: The levels of PC-Acro, IL-6 and CRP in plasma were measured by ELISA. SBI and WMH were evaluated by MRI, and CA was evaluated by duplex carotid ultrasonography.
RESULTS: A total of 790 apparently healthy volunteers were classified into 260 control, 214 SBI, 263 CA and 245 WMH subjects, which included 187 subjects with two or three pathologies. When the combined measurements of PC-Acro, IL-6 and CRP were evaluated together with age, using a receiver operating characteristic curve and artificial neural networks, the relative risk value (RRV), an indicator of tissue damage, was in the order SBI with CA (0.90)>SBI (0.80)>CA (0.76)>WMH with CA (0.65)>WMH (0.46)>control (0.14). RRV was also correlated with severity in each group of SBI, CA and WMH.
CONCLUSION: The RRV supports the idea that the degree of risk to develop a stroke is in the order SBI>CA>WMH. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20417516     DOI: 10.1016/j.atherosclerosis.2010.03.031

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  16 in total

Review 1.  Patterns of compensation and vulnerability in normal subjects at risk of Alzheimer's disease.

Authors:  Oscar L Lopez; James T Becker; Lewis H Kuller
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

Review 2.  Blood and CSF biomarkers in brain subcortical ischemic vascular disease: Involved pathways and clinical applicability.

Authors:  A Vilar-Bergua; I Riba-Llena; C Nafría; A Bustamante; V Llombart; P Delgado; J Montaner
Journal:  J Cereb Blood Flow Metab       Date:  2016-01       Impact factor: 6.200

3.  Association of stroke risk biomarkers with stroke symptoms: the Reasons for Geographic and Racial Differences in Stroke cohort.

Authors:  K K Landry; K S Alexander; N A Zakai; S E Judd; D O Kleindorfer; V J Howard; G Howard; M Cushman
Journal:  J Thromb Haemost       Date:  2016-12-09       Impact factor: 5.824

4.  Maintaining brain health by monitoring inflammatory processes: a mechanism to promote successful aging.

Authors:  Caterina Rosano; Anna L Marsland; Peter J Gianaros
Journal:  Aging Dis       Date:  2011-09-30       Impact factor: 6.745

Review 5.  Functional roles of polyamines and their metabolite acrolein in eukaryotic cells.

Authors:  Kazuei Igarashi; Keiko Kashiwagi
Journal:  Amino Acids       Date:  2021-09-21       Impact factor: 3.520

6.  Increased Silent Brain Infarction Accompanied With High Prevalence of Diabetes and Dyslipidemia in Psychiatric Inpatients: A Cross-Sectional Study.

Authors:  Tetsuto Kanzaki; Yoriyasu Uju; Keisuke Sekine; Yukihiro Ishii; Taro Yoshimi; Reiko Yasui; Asuka Yasukawa; Mamoru Sato; Seiko Okamoto; Tetsuya Hisaoka; Masafumi Miura; Shun Kusanishi; Kanako Murakami; Chieko Nakano; Yasuhiko Mizuta; Seisuke Mimori; Shunichi Mishima; Kazuei Igarashi; Tsuyoshi Takizawa; Tatsuro Hayakawa; Kazumi Tsukada
Journal:  Prim Care Companion CNS Disord       Date:  2015-03-26

7.  Acrolein impairs the cholesterol transport functions of high density lipoproteins.

Authors:  Alexandra C Chadwick; Rebecca L Holme; Yiliang Chen; Michael J Thomas; Mary G Sorci-Thomas; Roy L Silverstein; Kirkwood A Pritchard; Daisy Sahoo
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

Review 8.  Polyamines and their metabolites as diagnostic markers of human diseases.

Authors:  Myung Hee Park; Kazuei Igarashi
Journal:  Biomol Ther (Seoul)       Date:  2013-01       Impact factor: 4.634

9.  Relative risk values of age, acrolein, IL-6 and CRP as markers of periventricular hyperintensities: a cross-sectional study.

Authors:  Arata Abe; Yasuhiro Nishiyama; Mina Harada-Abe; Seiji Okubo; Masayuki Ueda; Masahiro Mishina; Yasuo Katayama
Journal:  BMJ Open       Date:  2014       Impact factor: 2.692

10.  Association of walking speed in late midlife with mortality: results from the Whitehall II cohort study.

Authors:  Alexis Elbaz; Séverine Sabia; Eric Brunner; Martin Shipley; Michael Marmot; Mika Kivimaki; Archana Singh-Manoux
Journal:  Age (Dordr)       Date:  2012-02-24
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