Quantitation of serum pregnanediol-3-glucuronide level in different endocrine statuses by LC-MS/MS.


Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
30 May 2020
Historique:
received: 26 09 2019
revised: 11 02 2020
accepted: 12 02 2020
pubmed: 24 2 2020
medline: 22 1 2021
entrez: 24 2 2020
Statut: ppublish

Résumé

Pregnanediol-3-glucuronide (PdG) is the major terminal metabolite of progesterone, playing an important role in physiological processes, such as the female menstrual cycle, pregnancy (supports gestation), embryogenesis and maternal immune response of humans and other species. Hence, accurate measurement of PdG in serum/plasma is needed for the evaluation of progesterone production. However, such high-specificity determination of PdG is lacking in clinical sample detection. In this study, a highly sensitive and accurate LC-MS/MS method was firstly established for subsequent measurement of PdG in serum of three different female groups: thyroid cancer patients (TCs), healthy controls (HCs) and pregnant women. The factors affecting the sample preparation, MS/MS method, gradient elution program, selection of chromatographic column and internal standard (IS) have been optimized in this study. Compared with enzyme immunoassay (EIA) method, we used LC-MS/MS to shorten analysis time, increase sensitivity, raise specificity, simplify sample preparation, and reduce costs. As a result, the linear range of the method was from 0.38 to 100 ng/mL with a limit of quantification (LOD) of 0.01 ng/mL. Precision assays showed that relative standard deviation (RSD) was less than 10.6, accuracy was between 90.6 % and 110.4 %, and mean recovery was 103.4 %. In addition, the serum PdG/creatinine levels were significantly down-regulated in TCs and up-regulated in pregnant women versus HCs. Receive operating characteristic curve (ROC) analysis enabled to identify TC with a sensitivity of 83.3 %, specificity of 68.0 % and area under curve (AUC) of 0.781 (95 % CI: 0.684 to 0.879), and it enabled to identify pregnant women with a sensitivity of 94.7 %, specificity of 68.5 % and AUC of 0.811 (95 % CI: 0.732 to 0.890). Our results implied that an increase in female serum PdG/creatinine level might be associated with a risk of pregnancy, but serum PdG/creatinine decreasing might be related to a risk of TC.

Identifiants

pubmed: 32088634
pii: S0731-7085(19)32351-9
doi: 10.1016/j.jpba.2020.113171
pii:
doi:

Substances chimiques

pregnanediol-3 alpha-glucuronide 1852-49-9
Progesterone 4G7DS2Q64Y
Pregnanediol JR3JD1Y22C

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113171

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Jian Chen (J)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China; Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China; University of Science and Technology of China, Hefei, 230026, China.

Hongwei Hou (H)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China. Electronic address: qsfctc@163.com.

Huan Chen (H)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China.

Yanbo Luo (Y)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China.

Yunlu He (Y)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China.

Haoyue Wang (H)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China; Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China; University of Science and Technology of China, Hefei, 230026, China.

Huimin Deng (H)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China.

Lirong Zhang (L)

School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.

Yunfei Zhang (Y)

Henan Cancer Hospital, Zhengzhou University, Zhengzhou, 450008, China.

Hansong Liu (H)

Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 45000l, China.

Yong Liu (Y)

Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.

An Wang (A)

Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China. Electronic address: wangan@aiofm.ac.cn.

Qingyuan Hu (Q)

China National Tobacco Quality Supervision & Test Center, Zhengzhou, 45000l, China. Electronic address: huqy1965@163.com.

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Classifications MeSH