Evidence map›Paper›PMID 40295682›Full record

ArticleScientific reports2025

Combined spatial metabolomics and 4D-DIA quantitative proteomics approaches to explore the relationship between lung cancer and the heart.

Tingting Bai, Quan Wan, Changcheng Yue, Jingjing Wang, Shichao Deng, Xueying Shen, Hongqing Wang, Liyan Huang, Dong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Tingting BaiInner Mongolia Medical University, Hohhot, Inner Mongolia, People's Republic of China.
Quan WanAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Changcheng YueAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Jingjing WangAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Shichao DengAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Xueying ShenAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Hongqing WangAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Liyan HuangAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China.
Dong WangAffiliated Hospital of Inner Mongolia Minzu University, No.1742 East Hollinghe Street, Tongliao, 028000, Inner Mongolia, People's Republic of China. wangdong123567@163.com.

Funding

Qihuang Scholar Talent Programme 2021the Research Start-up Support Project for Introducing Talents to Institutions at the Autonomous Region Level in 2019 RCQD19003
6 · The paper itself

Abstract

Lung cancer and cardiovascular disease pose persistent threats to human health, despite advancements in targeted therapy, percutaneous coronary intervention, and drug treatments. Challenges such as side effects, drug resistance, hospitalization rates, and mortality remain high. These diseases are closely linked, sharing common risk factors and intricately influencing each other. This study aims to investigate the interplay between lung disease and cardiovascular disease by examining changes in cardiac metabolites and protein expression using spatial metabolomics and 4D-DIA quantitative proteomics approaches in the setting of lung cancer. Nude mice were selected and A549 cells were injected axillary and metabolomics was used to observe the alterations in cardiac metabolism in the setting of lung cancer in nude mice.The findings reveal well-defined tumor structures. Further, spatial mass spectrometry imaging analysis demonstrates distinct metabolite distributions across cardiac regions, indicating significant differences between control and model groups. Through spatial metabolomics and proteomics analyses, key differential metabolites such as Gln-His-Val-Glu, LysoPC 22:6, and LPC (20:2/0:0), primarily amino acids, and glycerophospholipids, as well as differential proteins including Mknk1, Trafd1, Dab2ip, Tab1, Ripk3, G3PDH, and Mapk15, are identified. These results underscore the crucial role of these factors in cardiovascular injury. This study elucidates the intricate link between lung cancer and cardiovascular disease and identifies altered metabolites and proteins in the heart within a lung cancer environment. These insights are pivotal for informing future treatments and interventions for both diseases.

Indexed as

Cardiovascular DiseasesLung NeoplasmsMetabolomicsMyocardiumProteomicsA549 CellsAnimalsHumansMiceMice, Nude4D-DIA quantitative proteomicsCardiovascular diseaseLung cancerSpace mass spectrometrySpatial metabolomics

Identifiers

PMID40295682
PMCPMC12037715

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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.