Evidence map›Paper›PMID 35234981›Full record

ArticleAnalytical and bioanalytical chemistry2022

An automated magnetic bead extraction method for measuring plasma metanephrines and 3-methoxytyramine using liquid chromatography tandem mass spectrometry.

Songlin Yu, Weiyan Zhou, Jialei Yu, Ming Li, Shenyan Zhang, Xu Jiang, Huanhong Wang, Xiaoli Ma, Yutong Zou, Danchen Wang and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Songlin Yu *Department of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Weiyan Zhou *National Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Jialei YuDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Ming LiDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Shenyan ZhangBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Xu JiangBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Huanhong WangBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Xiaoli MaDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Yutong ZouDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Danchen WangDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Qian ChengDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Shaowei XieDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Wei LuoDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Xiuzhi GuoDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China.
Ling QiuDepartment of Clinical Laboratory, Dongcheng District, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifu Yuan, Beijing, 100730, People's Republic of China. lingqiubj@163.com.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNBGI Group (China) · CNNational Center for Clinical Laboratories · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid chromatography tandem mass spectrometry (LC-MS/MS) is used routinely in clinical diagnostics; however, automating the sample pretreatment is challenging. We established and evaluated an automated method based on the magnetic bead extraction principle (MBE) to measure normetanephrine (NMN), metanephrine (MN), and 3-methoxytyramine (3-MT). The target analytes were extracted, purified, and concentrated using different solvents and chemical bond-modified magnetic beads transferred via a magnetic bar. The linearity, recovery, matrix effect, and precision of MBE were evaluated thoroughly, and compared with traditional solid-phase extraction (SPE) using 131 plasma samples. The chromatography peaks of metanephrines and 3-MT, extracted via MBE, are symmetrical, without interfering peaks. The linearity was excellent with correlation coefficient (r) > 0.99. The MBE exhibited good reproducibility with within-run coefficient variations (CVs) of 1.96-2.00%, 4.06-5.75%, and 3.89-4.90% for MN, NMN, and 3-MT, respectively. The total CVs for MN, NMN, and 3-MT were 1.96-2.80%, 5.12-5.75%, and 5.44-6.27%, respectively. The relative recoveries for MN, NMN, and 3-MT varied between 93.5 and 107.4%, whereas their biases were all within 10%. The results for MN, NMN, and 3-MT extracted via MBE compared with SPE exhibited excellent correlation, with r > 0.99; the mean bias% for MN, NMN, and 3-MT were small (-2.9%, -3.2%, and -3.2%, respectively). In conclusion, the automated MBE method for measuring plasma metanephrines and 3-MT can be applied in future routine clinical diagnostics, and the MBE principle may indicate a new era for LC-MS/MS in clinical application.

Indexed as

Adrenal Gland NeoplasmsPheochromocytomaChromatography, High Pressure LiquidChromatography, LiquidDopamineHumansMagnetic PhenomenaMetanephrineNormetanephrineReproducibility of ResultsTandem Mass Spectrometry3-methoxytyramineDopamineMetanephrineNormetanephrineCatecholaminesLC/MSMagnetic bead extractionPlasmaSample preparation

Identifiers

PMID35234981
OpenAlexW4214852334

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.