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2 "Apolipoprotein E"
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The Association Between Apolipoprotein E Genotype and Lipid Profiles in Healthy Woman Workers.
Kieun Moon, Sook Hee Sung, Youn Koun Chang, Il Keun Park, Yun Mi Paek, Soo Geun Kim, Tae In Choi, Young Woo Jin
J Prev Med Public Health. 2010;43(3):213-221.
DOI: https://doi.org/10.3961/jpmph.2010.43.3.213
  • 4,991 View
  • 56 Download
  • 10 Crossref
AbstractAbstract PDF
OBJECTIVES
Plasma lipid profiles and Apolipoprotein E (ApoE) are established risk factors for cardiovascular disease (CVD). The knowledge of lipid profile may estimate the potential victims of cardiovascular disease before its initiation and progression and offers the opportunity for primary prevention. The most common ApoE polymorphism has been found to influence plasma lipid concentrations and its correlation with CVD has been extensively investigated in the last decade. METHODS: The ApoE polymorphism and its influence on plasma lipid were investigated in healthy woman workers. The information on confounding factors was obtained through a self-administered questionnaire and ApoE polymorphism was investigated using PCR. RESULTS: The relative frequencies of alleles E2, E3 and E4 for the study population (n=305) were 0.127, 0.750 and 0.121, respectively. ApoE polymorphism was associated with variations in plasma HDL-cholesterol lipid profile. In order to estimate the independent effects of alleles E2 and E4, as compared with E3, on lipid profile, multiple regression was performed after adjustment for confounding variables such as age, BMI, blood pressure, education status, insulin, fasting glucose, HOMA-IR, menopause. ApoE2 had a negative association with HDL cholesterol and ApoE4 had a positive association with LDL cholesterol. CONCLUSIONS: This study identified that the ApoE and CVD risk factors contribute to the lipid profiles, similar to other studies. The analysis including dietary intake and other gene in further studies may help to identify clear effects on lipid profiles as risk factor for CVD.
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Citations

Citations to this article as recorded by  
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    Sung Ryul Yu, Kyung-A Shin
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 495.     CrossRef
  • Association between Hypertriglyceridemic-Waist Phenotype and Metabolic Abnormalities in Hypertensive Adults
    Kyung-A SHIN, Myung Shin KANG
    Korean Journal of Clinical Laboratory Science.2023; 55(2): 113.     CrossRef
  • Association Between Four Anthropometric Indexes and Metabolic Syndrome in US Adults
    Yaling Li, Rui Zheng, Shuting Li, Ruyi Cai, Feihua Ni, Huiyan Zheng, Ruying Hu, Ting Sun
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Shared genetic risk factors for depression and stroke
    Fuying Zhao, Yingying Yue, Haitang Jiang, Yonggui Yuan
    Progress in Neuro-Psychopharmacology and Biological Psychiatry.2019; 93: 55.     CrossRef
  • Assessing a Body Shape Index and Waist to Height Ratio as a Risk Predictor for Insulin Resistance and Metabolic Syndrome among Korean Adults
    Kyung-A Shin
    The Korean Journal of Clinical Laboratory Science.2018; 50(1): 44.     CrossRef
  • Clinical Usefulness of Serum Uric Acid and Resting Heart Rate in the Diagnosis of Metabolic Syndrome in Korean Adults
    Kyung-A Shin
    Biomedical Science Letters.2017; 23(2): 118.     CrossRef
  • The Association of Pulse Pressure and Pre-Metabolic Syndrome in Korean Middle Aged Men
    Kyung-A Shin
    Biomedical Science Letters.2017; 23(2): 73.     CrossRef
  • The Clinical Implications of Hepatic Enzymes in Metabolically Healthy Obese Men
    Kyung-A Shin
    The Korean Journal of Clinical Laboratory Science.2017; 49(3): 248.     CrossRef
  • Relationship between the Lipid Accumulation Product Index and Alanine Aminotransferase in Korean Adult Men
    Kyung-A Shin
    The Korean Journal of Clinical Laboratory Science.2017; 49(4): 374.     CrossRef
  • The Differences of Metabolic Syndrome Risk Factors according to Obesity and Abdominal Obesity in Elderly Korean Women
    Kyung-A Shin
    The Korean Journal of Clinical Laboratory Science.2016; 48(4): 304.     CrossRef
Apolipoprotein E Polymorphism and Cognitive Function Change of the Elderly in a Rural Area, Korea.
Sang Kyu Kim, Tae Yoon Hwang, Kyeong Soo Lee, Pock Soo Kang, Hee Soon Cho, Young Kyung Bae
J Prev Med Public Health. 2009;42(4):261-266.
DOI: https://doi.org/10.3961/jpmph.2009.42.4.261
  • 4,119 View
  • 30 Download
  • 1 Crossref
AbstractAbstract PDF
OBJECTIVES
The aim of this study is to examine the cognitive function change related to aging, the incidence of cognitive impairment, and the association between apolipoprotein E polymorphism and cognitive impairment through a follow-up of the elderly with normal cognitive ability at baseline. METHODS: Two hundred and fifteen subjects aged 65 and over were surveyed in February, 1998 (baseline survey), and their cognitive function was assessed again in 2003 (1st follow-up) and the once again in 2006 (2nd follow-up). Ninety one subjects completed all surveys up through the 2nd follow-up and their cognitive function scores using MMSE-K (Korean Version of the Mini-Mental State Examination) and the distribution of apolipoprotein E allele were analyzed. RESULTS: The cognitive function scores decreased with aging and the difference between baseline and the 2nd follow-up scores of the study increased with the age group. The incidence rate of cognitive impairment through an 8-year follow-up was 38.5% and higher in older age groups. Age was the only significant factor for incidence of cognitive impairment, but there was no significant association between apolipoprotein E genotype and incidence of cognitive impairment. CONCLUSIONS: The cognition of the elderly decreased with aging and the association of apolipoprotein E genotype with incidence of cognitive impairment was not significant in this study. To confirm the association between apolipoprotein E polymorphism and incidence of cognitive impairment further studies will be needed.
Summary

Citations

Citations to this article as recorded by  
  • ApoE Type 4 Allele Affects Cognitive Function of Aged Population in Tianjin City, China
    Shoudan Sun, Jingming Fu, Jun Chen, Wei Pang, Ruomei Hu, Haiqiang Li, Long Tan, Yugang Jiang
    American Journal of Alzheimer's Disease & Other Dementiasr.2015; 30(5): 503.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health