Osteoprotegerin and osteopontin levels, but not gene polymorphisms, predict mortality in cardiovascular diseases

Jeng Feng Lin; Semon Wu; Jyh Ming J. Juang; Fu Tien Chiang; Lung An Hsu; Ming Sheng Teng; Shih Tsung Cheng; Hsuan Li Huang; Yu Lin Ko

doi:10.2217/bmm-2018-0458

Osteoprotegerin and osteopontin levels, but not gene polymorphisms, predict mortality in cardiovascular diseases

Jeng Feng Lin
, Semon Wu
, Jyh Ming J. Juang
, Fu Tien Chiang
, Lung An Hsu
, Ming Sheng Teng
, Shih Tsung Cheng
, Hsuan Li Huang
, Yu Lin Ko^*

^*Corresponding author for this work

School of Medicine

Buddhist Tzu Chi Medical Foundation
Tzu Chi University
Chinese Culture University
National Taiwan University

Research output: Contribution to journal › Journal Article › peer-review

19 Scopus citations

Abstract

Aim: This study aims to investigate whether osteoprotegerin (OPG) or osteopontin (OPN) single nucleotide polymorphisms (SNPs) will predict survival. Materials & methods: This study enrolled 617 participants undergoing health examination, 536 coronary artery disease (CAD) patients and 86 peripheral artery disease (PAD) patients. Genotypes of OPG SNP rs2073618 and OPN SNP rs11730582 were determined. OPG and OPN levels were measured. Results: In both CAD and PAD populations, high OPG and OPN levels were strong predictors of all-cause death. The OPG rs2073618 CC genotype and the OPN rs11730582 TT genotype did not predict mortality. Conclusion: High OPG and high OPN levels, but not OPG rs2073618 CC genotype or OPN rs11730582 TT genotype, were strong predictors of mortality in both CAD and PAD patients.

Original language	English
Pages (from-to)	751-760
Number of pages	10
Journal	Biomarkers in Medicine
Volume	13
Issue number	9
DOIs	https://doi.org/10.2217/bmm-2018-0458
State	Published - 2019

Bibliographical note

Publisher Copyright:
© 2019 Future Medicine Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

SNP
coronary artery disease
osteopontin
osteoprotegerin
peripheral artery disease

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10.2217/bmm-2018-0458

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@article{98a675d447dd4e88949c1fec4a238a12,

title = "Osteoprotegerin and osteopontin levels, but not gene polymorphisms, predict mortality in cardiovascular diseases",

abstract = "Aim: This study aims to investigate whether osteoprotegerin (OPG) or osteopontin (OPN) single nucleotide polymorphisms (SNPs) will predict survival. Materials \& methods: This study enrolled 617 participants undergoing health examination, 536 coronary artery disease (CAD) patients and 86 peripheral artery disease (PAD) patients. Genotypes of OPG SNP rs2073618 and OPN SNP rs11730582 were determined. OPG and OPN levels were measured. Results: In both CAD and PAD populations, high OPG and OPN levels were strong predictors of all-cause death. The OPG rs2073618 CC genotype and the OPN rs11730582 TT genotype did not predict mortality. Conclusion: High OPG and high OPN levels, but not OPG rs2073618 CC genotype or OPN rs11730582 TT genotype, were strong predictors of mortality in both CAD and PAD patients.",

keywords = "SNP, coronary artery disease, osteopontin, osteoprotegerin, peripheral artery disease",

author = "Lin, \{Jeng Feng\} and Semon Wu and Juang, \{Jyh Ming J.\} and Chiang, \{Fu Tien\} and Hsu, \{Lung An\} and Teng, \{Ming Sheng\} and Cheng, \{Shih Tsung\} and Huang, \{Hsuan Li\} and Ko, \{Yu Lin\}",

note = "Publisher Copyright: {\textcopyright} 2019 Future Medicine Ltd.",

year = "2019",

doi = "10.2217/bmm-2018-0458",

language = "英语",

volume = "13",

pages = "751--760",

journal = "Biomarkers in Medicine",

issn = "1752-0363",

publisher = "Taylor and Francis Ltd.",

number = "9",

}

TY - JOUR

T1 - Osteoprotegerin and osteopontin levels, but not gene polymorphisms, predict mortality in cardiovascular diseases

AU - Lin, Jeng Feng

AU - Wu, Semon

AU - Juang, Jyh Ming J.

AU - Chiang, Fu Tien

AU - Hsu, Lung An

AU - Teng, Ming Sheng

AU - Cheng, Shih Tsung

AU - Huang, Hsuan Li

AU - Ko, Yu Lin

PY - 2019

Y1 - 2019

N2 - Aim: This study aims to investigate whether osteoprotegerin (OPG) or osteopontin (OPN) single nucleotide polymorphisms (SNPs) will predict survival. Materials & methods: This study enrolled 617 participants undergoing health examination, 536 coronary artery disease (CAD) patients and 86 peripheral artery disease (PAD) patients. Genotypes of OPG SNP rs2073618 and OPN SNP rs11730582 were determined. OPG and OPN levels were measured. Results: In both CAD and PAD populations, high OPG and OPN levels were strong predictors of all-cause death. The OPG rs2073618 CC genotype and the OPN rs11730582 TT genotype did not predict mortality. Conclusion: High OPG and high OPN levels, but not OPG rs2073618 CC genotype or OPN rs11730582 TT genotype, were strong predictors of mortality in both CAD and PAD patients.

AB - Aim: This study aims to investigate whether osteoprotegerin (OPG) or osteopontin (OPN) single nucleotide polymorphisms (SNPs) will predict survival. Materials & methods: This study enrolled 617 participants undergoing health examination, 536 coronary artery disease (CAD) patients and 86 peripheral artery disease (PAD) patients. Genotypes of OPG SNP rs2073618 and OPN SNP rs11730582 were determined. OPG and OPN levels were measured. Results: In both CAD and PAD populations, high OPG and OPN levels were strong predictors of all-cause death. The OPG rs2073618 CC genotype and the OPN rs11730582 TT genotype did not predict mortality. Conclusion: High OPG and high OPN levels, but not OPG rs2073618 CC genotype or OPN rs11730582 TT genotype, were strong predictors of mortality in both CAD and PAD patients.

KW - SNP

KW - coronary artery disease

KW - osteopontin

KW - osteoprotegerin

KW - peripheral artery disease

UR - https://www.scopus.com/pages/publications/85069468411

U2 - 10.2217/bmm-2018-0458

DO - 10.2217/bmm-2018-0458

M3 - 文章

C2 - 31157557

AN - SCOPUS:85069468411

SN - 1752-0363

VL - 13

SP - 751

EP - 760

JO - Biomarkers in Medicine

JF - Biomarkers in Medicine

IS - 9

ER -

Osteoprotegerin and osteopontin levels, but not gene polymorphisms, predict mortality in cardiovascular diseases

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

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