Reference Intervals of Serum Metabolites and Lipids of a Healthy Chinese Population Determined by Liquid Chromatography-Mass Spectrometry

被引：0
作者：
Zhang, Yuqing [1 ,2 ]
Zhao, Jinhui [2 ,3 ]
Zhao, Hui [4 ]
Lu, Xin [2 ,5 ]
Jia, Xueni [4 ]
Zhao, Xinjie [2 ,5 ]
Xu, Guowang [1 ,2 ,3 ,5 ]
机构：
[1] Dalian Univ Technol, Sch Chem, Dalian 116024, Peoples R China
[2] Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, 457 Zhongshan Rd, Dalian 116023, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Dalian Med Univ, Hosp 2, Dept Hlth Checkup Ctr, Dalian 116023, Peoples R China
[5] Liaoning Prov Key Lab Metabol, Dalian 116023, Peoples R China
来源：
METABOLITES | 2025年 / 15卷 / 02期
基金：
中国国家自然科学基金;
关键词：
reference intervals; metabolomics; lipidomics; quantitative analysis; liquid chromatography; mass spectrometry;
D O I：
10.3390/metabo15020106
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Background: Metabolomics serves as a very useful tool for elucidating disease mechanisms and identifying biomarkers. Establishing reference intervals (RIs) of metabolites in a healthy population is crucial to the application of metabolomics in life sciences and clinics. Methods: We enrolled 615 healthy Chinese adults aged between 21 and 85 years. Their health status was ascertained through clinical examinations, biochemical parameters, and medical history. Targeted metabolomics and lipidomics analyses were applied to quantify 705 metabolites and lipids in the serum, establishing RIs and investigating the effect of sex and age on the metabolome and lipidome. Results: This study is the first large-scale effort in China to establish RIs for metabolites in the apparently healthy population. We found that most of the sex-related metabolites, including amino acids, acyl-carnitines and triacylglycerols, had higher concentrations in males, while the other sex-related lipids showed higher concentrations in females. Most of the age-related metabolites increased with age, including those associated with protein synthesis, nitric oxide synthesis, energy metabolism, and lipid metabolism. Conclusions: This study gives the reference intervals of the healthy Chinese metabolome and lipidome and their relationship with sex and age, which facilitates life sciences and precision medicine, especially for disease research and biomarker discovery.
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页数：14
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  • [1] Serkova N.J., Standiford T.J., Stringer K.A., The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses, Am. J. Respir. Crit. Care Med, 184, pp. 647-655, (2011)
  • [2] German J.B., Hammock B.D., Watkins S.M., Metabolomics: Building on a century of biochemistry to guide human health, Metabolomics, 1, pp. 3-9, (2005)
  • [3] Tebani A., Afonso C., Marret S., Bekri S., Omics-based strategies in precision medicine: Toward a paradigm shift in inborn errors of metabolism investigations, Int. J. Mol. Sci, 17, (2016)
  • [4] Karczewski K.J., Snyder M.P., Integrative omics for health and disease, Nat. Rev. Genet, 19, pp. 299-310, (2018)
  • [5] Cochran D., Noureldein M., Bezdekova D., Schram A., Howard R., Powers R., A reproducibility crisis for clinical metabolomics studies, Trends Analyt Chem, 180, (2024)
  • [6] Tolstikov V., Moser A.J., Sarangarajan R., Narain N.R., Kiebish M.A., Current status of metabolomic biomarker discovery: Impact of study design and demographic characteristics, Metabolites, 10, (2020)
  • [7] Ozarda Y., Reference intervals: Current status, recent developments and future considerations, Biochem. Med, 26, pp. 5-16, (2016)
  • [8] Adeli K., Higgins V., Trajcevski K., White-Al Habeeb N., The Canadian laboratory initiative on pediatric reference intervals: A CALIPER white paper, Crit. Rev. Clin. Lab. Sci, 54, pp. 358-413, (2017)
  • [9] Yang D., Su Z., Zhao M., Big data and reference intervals, Clin. Chim. Acta, 527, pp. 23-32, (2022)
  • [10] Horn P.S., Pesce A.J., Reference intervals: An update, Clin. Chim. Acta, 334, pp. 5-23, (2003)
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