Evidence map›Paper›PMID 42736266›Full record

ArticleNature communications2026

Column switching liquid chromatography dual mass spectrometry system for simultaneous untargeted metabolomics and targeted exposomics.

Yuting Wang, Daidi Hou, Yuan Yuan, Pengwei Guan, Tiantian Chen, Xingyu Guo, Xin You, Xianzhe Shi, Xiaolin Wang, Qi Wang and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yuting Wang *Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Daidi Hou *Metabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.ORCID http://orcid.org/0009-0000-4831-4373
Yuan Yuan *The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Pengwei GuanMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Tiantian ChenMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Xingyu GuoMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Xin YouThe Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Xianzhe ShiMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.ORCID http://orcid.org/0000-0001-9306-0130
Xiaolin WangMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Qi WangThe Second Affiliated Hospital of Dalian Medical University, Dalian, China. wqdlmu@163.com.ORCID http://orcid.org/0000-0003-2427-7234
Xinyu LiuMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China. liuxy2012@dicp.ac.cn.
Guowang XuMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China. xugw@dicp.ac.cn.ORCID http://orcid.org/0000-0003-4298-3554

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22434006National Natural Science Foundation of China (National Science Foundation of China) 22474138National Natural Science Foundation of China (National Science Foundation of China) 22522411Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2021186
6 · The paper itself

Abstract

Exposome-wide association studies (ExWAS) require the detection of metabolites and exposures with diverse chemical properties across wide concentration ranges, a task that typically demands multiple analytical methods. To address this challenge, we develop an integrated column-switching two-dimensional liquid chromatography-dual mass spectrometry (2DLC-dual-MS) system. This system employs a 2DLC setup to sequentially separate polar and non-polar compounds with log P ranging from -8 to 15. The separated fractions are directed via a three-way valve to a high-resolution MS (HRMS) and a triple quadrupole MS (TQMS), enabling simultaneous untargeted metabolome analysis and targeted quantification of 601 exposures. The method is particularly suited for the concurrent analysis of metabolome and exposome in human blood, where their concentrations typically differ by 2-3 orders of magnitude. In a demonstration application on lung adenocarcinoma ExWAS, the system exhibits good stability over more than 300 consecutive injections for both metabolome and exposome analysis, confirming its robustness for ExWAS applications.

Indexed as

ExposomeLiquid Chromatography-Mass SpectrometryMass SpectrometryMetabolomicsAdenocarcinomaAdenocarcinoma of LungChromatography, LiquidHumansLung NeoplasmsMetabolome

Identifiers

PMID42736266
PMCPMC13575240

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.