核磁共振波谱法与传统生化检测方法血脂检测结果相关性分析

doi:10.3969/j.issn.1673-8640.2021.07.012

检验医学 ›› 2021, Vol. 36 ›› Issue (7): 733-737.DOI: 10.3969/j.issn.1673-8640.2021.07.012

• 技术研究与评价·论著 • 上一篇下一篇

核磁共振波谱法与传统生化检测方法血脂检测结果相关性分析

彭琰君¹, 韩雪晶², 唐红霞², 陈俊萌³, 贾克刚²()

1.杭州市余杭区第二人民医院检验科,浙江杭州 211121
2.天津医科大学心血管病临床学院泰达国际心血管病医院检验科,天津 300457
3.河北北方学院医学检验学院,河北张家口 075000

收稿日期:2020-02-20 出版日期:2021-07-30 发布日期:2021-07-26
通讯作者: 贾克刚
作者简介:贾克刚,E-mail： txjia@126.com。
彭琰君,女,1993年生,学士,主要从事血脂检测工作。
韩雪晶,女,1979年生,硕士,副主任技师,主要从事临床生化检测工作。第一联系人：
彭琰君与韩雪晶对本研究具有同等贡献,并列为第一作者。
基金资助:
天津市卫生计生行业高层次人才选拔培养工程;津门医学英才基金

Correlation between nuclear magnetic resonance spectroscopy and traditional biochemical determination methods analyzer for determining blood lipid

PENG Yanjun¹, HAN Xuejing², TANG Hongxia², CHEN Junmeng³, JIA Kegang²()

1. Department of Clinical Laboratory,the Second People's Hospital of Yuhang District,Hangzhou 211121,Zhejiang,China
2. Department of Clinical Laboratory,Tianjin Medical University Cardiovascular College,TEDA International Cardiovascular Hospital,Tianjin 300457,China
3. College of Laboratory Medicine,Hebei North University,Zhangjiakou 075000,Hebei,China

Received:2020-02-20 Online:2021-07-30 Published:2021-07-26
Contact: JIA Kegang

摘要/Abstract

摘要：

目的探讨核磁共振波谱法（NMR）与传统生化检测方法检测小而密低密度脂蛋白胆固醇（sd-LDL-C）、低密度脂蛋白胆固醇（LDL-C）、高密度脂蛋白胆固醇（HDL-C）、总胆固醇（TC）、三酰甘油（TG）结果的相关性,并对LDL-C与低密度脂蛋白颗粒（LDL-P）不一致患者的sd-LDL-C水平进行分析。方法采用NMR和传统生化检测方法（生化分析仪）检测54例患者sd-LDL-C、LDL-C、 HDL-C、TG、TC水平,同时采用NMR检测LDL-P水平。采用Pearson相关分析评估2种方法检测结果的相关性。结果传统生化检测方法与NMR检测sd-LDL-C、LDL-C、HDL-C、TG、TC的r²值分别为0.640、0.827、0.875、0.996、0.928（P=0.000）。传统生化检测方法检测sd-LDL-C水平与NMR检测LDL5-C、LDL4-C+LDL5-C+LDL6-C、LDL5-C+LDL6-C、LDL6-C水平呈正相关（r值分别为0.326、0.341、0.352、0.800,P<0.05）。NMR检测sd-LDL-C、LDL-C、HDL-C、TC水平与传统生化检测方法比较,差异均有统计学意义（P=0.000）。根据NMR的LDL-C和LDL-P检测结果计算54例样本各自的百分位数。LDL-C百分位数≥LDL-P百分位数的患者的LDL6-C、sd-LDL-C、LDL6-P水平均高于LDL-C百分位数<LDL-P百分位数的患者（P<0.05）。结论 NMR与传统生化检测方法的血脂检测结果有一定相关性。LDL-P与LDL-C不一致患者的sd-LDL-C水平有一定差异。

关键词: 小而密低密度脂蛋白胆固醇, 低密度脂蛋白颗粒, 血脂, 核磁共振波谱法, 酶法

Abstract:

Objective To investigate the relationship of nuclear magnetic resonance spectroscopy（NMR） and traditional biochemical determination methods for determining small and dense low-density lipoprotein cholesterol（sd-LDL-C）,low-density lipoprotein cholesterol（LDL-C）,high-density lipoprotein cholesterol（HDL-C）,total cholesterol（TC） and triglyceride（TG）,and to analyze the level of sd-LDL-C in patients with inconsistent LDL-C and low-density lipoprotein particle（LDL-P）. Methods NMR and traditional biochemical determination methods（biochemical analyzer） were used to determine sd-LDL-C,LDL-C,HDL-C,TG and TC levels in 54 patients,and NMR was used to determine LDL-P level. Pearson correlation analysis was used to evaluate the correlation of the 2 methods. Results The r ² values of traditional biochemical determination methods and NMR for sd-LDL-C,LDL-C,HDL-C,TG and TC were 0.640,0.827,0.875,0.996 and 0.928,respectively（P=0.000）. Traditional biochemical determination methods for determining sd-LDL-C level and NMR for determining LDL5-C,LDL4-C+LDL5-C+LDL6-C,LDL5-C+LDL6-C and LDL6-C were positively correlated（r values were 0.326,0.341,0.352 and 0.800,respectively,P<0.05）. NMR for determining sd-LDL-C,LDL-C,HDL-C and TC levels had statistical significance compared with traditional biochemical determination methods（P=0.000）. According to the LDL-C and LDL-P determination results of NMR,the percentiles of 54 samples were calculated. Patients with LDL-C percentile≥LDL-P percentile had higher LDL6-C,sd-LDL-C and LDL6-P levels than those with LDL-C percentile<LDL-P percentile（P<0.05）.Conclusions There is a correlation between NMR and traditional biochemical determination methods. There is a certain difference in sd-LDL-C levels in patients with inconsistent LDL-P and LDL-C.

Key words: Small and dense low-density lipoprotein cholesterol, Blood lipid, Nuclear magnetic resonance spectroscopy, Enzymatic method

中图分类号:

R446.1

彭琰君, 韩雪晶, 唐红霞, 陈俊萌, 贾克刚. 核磁共振波谱法与传统生化检测方法血脂检测结果相关性分析[J]. 检验医学, 2021, 36(7): 733-737.

PENG Yanjun, HAN Xuejing, TANG Hongxia, CHEN Junmeng, JIA Kegang. Correlation between nuclear magnetic resonance spectroscopy and traditional biochemical determination methods analyzer for determining blood lipid[J]. Laboratory Medicine, 2021, 36(7): 733-737.

图/表 2

参考文献 19

[1]	LINDGREN F T, JENSEN L C, HATCH F T. The isolation and quantitative analysis of serum lipoproteins[J]. Blood lipids and lipoproteins:quantitation,composition and metabolism, 1972:181-274.
[2]	JIMÉNEZ B, HOLMES E, HEUDE C, et al. Quantitative lipoprotein subclass and low molecular weight metabolite analysis in human serum and plasma by(1)H NMR spectroscopy in a multilaboratory trial[J]. Anal Chem, 2018, 90(20):11962-11971. DOI URL
[3]	NICHOLS A V, KRAUSS R M, MUSLINER T A. Nondenaturing polyacrylamide gradient gel electrophoresis[J]. Methods Enzymol, 1986, 128:417-431.
[4]	王胜奎, 周俊. 小而密低密度脂蛋白胆固醇在心脑血管系统相关疾病中的意义[J]. 检验医学, 2019, 34(1):19-22.
[5]	JELLINGER P S, HANDELSMAN Y, ROSENBLIT P D, et al. American association of clinical endocrinologists and american college of endocrinology guidelines for management of dyslipidemia and prevention of cardiovascular disease[J]. Endocr Pract, 2017, 23(4):479-497. DOI URL
[6]	National Cholesterol Education Program（NCEP） Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults（Adult Treatment Panel Ⅲ）. Third Report of the National Cholesterol Education Program(NCEP) expert panel on detection,evaluation,and treatment of high blood cholesterol in adults(adult treatment panel Ⅲ) final report[J]. Circulation, 2002, 106(25):3143-3421. DOI URL
[7]	HIRANO T, ITO Y, SAEGUSA H, et al. A novel and simple method for quantification of small,dense LDL[J]. J Lipid Res, 2003, 44(11):2193-2201. DOI URL
[8]	ITO Y, FUJIMURA M, OHTA M, et al. Development of a homogeneous assay for measurement of small dense LDL cholesterol[J]. Clin Chem, 2011, 57(1):57-65. DOI URL
[9]	MATYUS S P, BRAUN P J, WOLAK-DINSMORE J, et al. NMR measurement of LDL particle number using the Vantera Clinical Analyzer[J]. Clin Biochem, 2014, 47(16-17):203-210. DOI URL
[10]	NIELSEN L B. Transfer of low density lipoprotein into the arterial wall and risk of atherosclerosis[J]. Atherosclerosis, 1996, 123(1-2):1-15. DOI URL
[11]	OTVOS J D, JEYARAJAH E J, BENNETT D W, et al. Development of a proton nuclear magnetic resonance spectroscopic method for determining plasma lipoprotein concentrations and subspecies distributions from a single,rapid measurement[J]. Clin Chem, 1992, 38(9):1632-1638. DOI URL
[12]	JEYARAJAH E J, CROMWELL W C, OTVOS J D. Lipoprotein particle analysis by nuclear magnetic resonance spectroscopy[J]. Clin Lab Med, 2006, 26(4):847-870. DOI URL
[13]	OTVOS J D, JEYARAJAH E J, CROMWELL W C. Measurement issues related to lipoprotein heterogeneity[J]. Am J Cardiol, 2002, 90(8A):22i-29i.
[14]	DEGOMA E M, DAVIS M D, DUNBAR R L, et al. Discordance between non-HDL-cholesterol and LDL-particle measurements:results from the Multi-Ethnic Study of Atherosclerosis[J]. Atherosclerosis, 2013, 229(2):517-523. DOI URL
[15]	ROSENSON R S, UNDERBERG J A. Systematic review:evaluating the effect of lipid-lowering therapy on lipoprotein and lipid values[J]. Cardiovasc Drugs Ther, 2013, 27(5):465-479. DOI URL
[16]	MELANDER O, SHIFFMAN D, CAULFIELD M P, et al. Low-density lipoprotein particle number is associated with cardiovascular events among those not classified into statin benefit groups[J]. J Am Coll Cardiol, 2015, 65(23):2571-2573. DOI URL
[17]	DAVIDSON M H, BALLANTYNE C M, JACOBSON T A, et al. Clinical utility of inflammatory markers and advanced lipoprotein testing:advice from an expert panel of lipid specialists[J]. J Clin Lipidol, 2011, 5(5):338-367. DOI URL
[18]	TAMEZ-PÉREZ H E, PROSKAUER-PEÑA S L, HERNŔNDEZ-CORIA M I, et al. AACE comprehensive diabetes management algorithm 2013[J]. Endocr Pract, 2013, 19(4):736-737. DOI URL
[19]	WANG F, DEBIK J, ANDREASSEN T, et al. Effect of repeated freeze-thaw cycles on nmr-measured lipoproteins and metabolites in biofluids[J]. J Proteome Res, 2019, 18(10):3681-3688. DOI URL

组别	例数	sd-LDL-C	LDL-C	HDL-C	TC	TG
传统生化检测方法	54	355.85（200.08~501.36）	1 165.59±495.30	485.83±118.32	1 876.95±574.59	1 451.35 （969.08~1 856.23）
NMR	54	223.15（134.65~313.78）	1 055.01±391.69	524.40±101.27	2 011.08±573.08	1 294.25 （895.30~1 677.20）
统计值		-6.393	3.797	-6.604	-6.604	0.607
P值		0.000	0.000	0.000	0.000	0.545

组别	例数	sd-LDL-C	LDL-C	HDL-C	TC	TG
传统生化检测方法	54	355.85（200.08~501.36）	1 165.59±495.30	485.83±118.32	1 876.95±574.59	1 451.35 （969.08~1 856.23）
NMR	54	223.15（134.65~313.78）	1 055.01±391.69	524.40±101.27	2 011.08±573.08	1 294.25 （895.30~1 677.20）
统计值		-6.393	3.797	-6.604	-6.604	0.607
P值		0.000	0.000	0.000	0.000	0.545

组别	例数	sd-LDL-C	LDL6-C	LDL6-P
A组	54	427.57±230.16	260.16±126.72	136.93±60.25
B组	54	265.20±110.18	155.38±72.98	91.87±36.49
t值		2.595	3.034	2.558
P值		<0.05	<0.05	<0.05

组别	例数	sd-LDL-C	LDL6-C	LDL6-P
A组	54	427.57±230.16	260.16±126.72	136.93±60.25
B组	54	265.20±110.18	155.38±72.98	91.87±36.49
t值		2.595	3.034	2.558
P值		<0.05	<0.05	<0.05

核磁共振波谱法与传统生化检测方法血脂检测结果相关性分析

Correlation between nuclear magnetic resonance spectroscopy and traditional biochemical determination methods analyzer for determining blood lipid

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