Multivariate analyses of factors that affect neonatal screening amino acids
10.3760/cma.j.cn101070-20200109-00042
- VernacularTitle:影响新生儿氨基酸代谢的多因素分析
- Author:
Jingyao ZHOU
1
;
Yu ZHANG
;
Qi HU
;
Xuelian CHEN
;
Lijuan YANG
;
Yaguo ZHANG
;
Xingyue SU
;
Yunxia YANG
;
Mingcai OU
Author Information
1. 四川省妇幼保健院新生儿疾病筛查科，成都 610045
- From:
Chinese Journal of Applied Clinical Pediatrics
2020;35(23):1773-1776
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the change characteristics of amino acid levels in neonates, so as to provide theoretical basis for accurate clinical interpretation.Methods:By preliminary screening and diagnosis from 32 855 newborns, 32 843 samples were collected using tandem mass spectrometry to inherited metabolic disease (IMD) scree-ning in Sichuan Province from January to December 2018.Afterwards, according to gestational age (1 363 premature infants, 31 468 full-term infants and 12 overdue infants), blood collection time (3-7 days old, 3 095 cases, 8-28 days old, 1 637 cases, and more than 28 days old, 248 cases) and season (7 737 cases in the first quarter, 11 428 cases in the second quarter, 5 482 cases in the third quarter, and 8 196 cases in the fourth quarter), neonates were divided into different study groups.The difference of amino acid level in each group was compared, and the correlation between various influencing factors and metabolic index was analyzed.Results:(1) The distribution of 11 amino acids [alanine(ALA), arginine(ARG), citrulline(CIT), glycine(GLY), leucine+ isoleucine+ hydroxyproline (LEU+ ILE+ PRO-OH), methionine(MET), ornithine(ORN), phenylalanine(PHE), proline(PRO), tyrosine(TYR), and valine(VAL)] in neonates showed non-normally distribution.(2)The distribution of 11 amino acids in different gestational age were tested by nonparametric test, except for PHE( H=0.61, P>0.05)and TYR( H=2.02, P>0.05), and other indicators were significantly different [ALA( H=187.11, P<0.05), ARG( H=23.60, P<0.05), CIT( H=22.90, P<0.05), GLY( H=85.18, P<0.05), LEU( H=56.42, P<0.05), MET( H=18.74, P<0.05), ORN( H=129.27, P<0.05), PRO( H=344.40, P<0.05), and VAL( H=272.92, P<0.05)]. (3) The distribution of 11 amino acids in different blood collection time were significantly different [ALA( H=65.19, P<0.05), ARG( H=404.48, P<0.05), CIT( H=502.13, P<0.05), GLY( H=1 719.44, P<0.05), LEU( H=396.41, P<0.05), MET( H=199.39, P<0.05), ORN( H=31.26, P<0.05), PHE( H=325.49, P<0.05), PRO( H=70.09, P<0.05), TYR( H=159.29, P<0.05), and VAL( H=102.52, P<0.05)]. (4) The distribution of 11 amino acids in different birth seasons were significantly different [ALA( H=401.37, P<0.05), ARG( H=3 229.03, P<0.05), CIT( H=65.45, P<0.05), GLY( H=597.82, P<0.05), LEU( H=1 120.42, P<0.05), MET( H=10 515.18, P<0.05), ORN( H=1 275.23, P<0.05), PHE( H=2 260.17, P<0.05), PRO( H=319.57, P<0.05), TYR( H=884.37, P<0.05), and VAL( H=1 824.49, P<0.05)]. Conclusion:According to different gestational age, season and blood collection time, the metabolism of amino acids in neonates was different.When using tandem mass spectrometry for detection, appropriate interpretation criteria should be selected based on different conditions.
