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Relationship between copper and lipids and atherogenic indices soon after birth in Japanese preterm infants of 32–35 weeks

Published online by Cambridge University Press:  20 December 2016

H. Shoji*
Affiliation:
Department of Pediatrics and Adolescent Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
N. Ikeda
Affiliation:
Department of Pediatrics, Faculty of Medicine, Juntendo University, Tokyo, Japan
C. Kojima
Affiliation:
Department of Pediatrics, Faculty of Medicine, Juntendo University, Tokyo, Japan
T. Kitamura
Affiliation:
Department of Pediatrics, Faculty of Medicine, Juntendo University, Tokyo, Japan
H. Suganuma
Affiliation:
Department of Pediatrics, Faculty of Medicine, Juntendo University, Tokyo, Japan
K. Hisata
Affiliation:
Department of Pediatrics, Faculty of Medicine, Juntendo University, Tokyo, Japan
S. Hirayama
Affiliation:
Department of Clinical Laboratory Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
T. Ueno
Affiliation:
Department of Clinical Laboratory Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
T. Miida
Affiliation:
Department of Clinical Laboratory Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
T. Shimizu
Affiliation:
Department of Pediatrics and Adolescent Medicine, Graduate School of Medicine, Juntendo University, Tokyo, Japan
*
*Address for correspondence: H. Shoji, Department of Pediatrics and Adolescent Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. (Email hshoji@juntendo.ac.jp)
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Abstract

Several studies have reported association of altered levels of lipids and some trace elements with risk factors for cardiovascular disease development in adulthood. Accordingly, the present study aimed to determine the relationship among the serum levels of copper (Cu), zinc (Zn), lipids, lipoproteins and apolipoproteins in preterm infants through an assessment of atherogenic indices shortly after birth. Blood samples were collected within 20 min of birth from 45 preterm infants with gestational ages ranging from 32 to 35 weeks. Serum Cu, Zn, total cholesterol (TC), low-density lipoprotein cholesterol (LDLc), high-density lipoprotein cholesterol (HDLc), apolipoprotein-A1 (apoA1) and apolipoprotein-B (apoB) levels were measured, and the TC/HDLc, LDLc/HDLc and apoB/apoA1 ratios were calculated. Upon determining the correlation between the levels of Cu, Zn and these indices of lipid metabolism, triglyceride (TG) and Cu were found to correlate negatively with birth weight (BW) and the standard deviation (s.d.) score for body weight. Furthermore, Cu levels correlated positively with the TG level and TC/HDLc, LDLc/HDLc and apoB/apoA1 ratios and negatively with the HDLc level and HDLc/apoA1 ratios. However, a stepwise multiple regression analysis indicated that the s.d. score for BW and TG level were significant independent determinants of the Cu level. In contrast, Zn did not correlate with any of these indices. In conclusion, intrauterine growth restriction and the TG level at birth influence Cu levels in preterm infants, whereas atherogenic indices do not affect this parameter.

Information

Type
Original Article
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2016. This is a work of the U.S. Government and is not subject to copyright protection in the United States. 
Figure 0

Table 1 General characteristics of the subjects

Figure 1

Table 2 Lipid and apolipoprotein concentrations in preterm infants shortly after birth

Figure 2

Table 3 Correlation between lipid, lipoprotein, apolipoprotein and trace element concentrations, gestational age, birth weight and s.d. score for birth weight

Figure 3

Table 4 Correlation between lipids, lipoproteins, apolipoproteins, atherogenic indices and trace elements

Figure 4

Fig. 1 Relationship between copper (Cu) levels and standard deviation (s.d.) score for birth weight (BW) and triglyceride (TG) levels at birth.

Figure 5

Table 5 Stepwise multiple regression of copper levels