Evidence map›Paper›PMID 36036299›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2022

Comprehensive plasma metabolomics and lipidomics of benign and malignant solitary pulmonary nodules.

Wei Zhou, Lili Lin, Lian-Yong Jiang, Jin-Long Wu, Wei-Chen Xu, Yang Zhou, Ma-Jie Wang, Xiang-Ming Cao, Hui-Qing Lin, Jian Yang and 3 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

13 authors.

Wei ZhouState Key Laboratory of Natural Medicines, Clinical Metabolomics Center, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China.
Lili LinJiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, China.
Lian-Yong JiangDepartment of Thoracic Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jin-Long WuDepartment of Thoracic Surgery, Ninth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, China.
Wei-Chen XuJiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, China.
Yang ZhouJiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, China.
Ma-Jie WangKey Laboratory of Addiction Research of Zhejiang Province, Ningbo Kangning Hospital, Ningbo, China.
Xiang-Ming CaoDepartment of Oncology, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, China.
Hui-Qing LinDepartment of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Jian YangDepartment of Cardiothoracic Surgery, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China. yangjian001@njmu.edu.cn.
Li-Chun DengDepartment of Oncology, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, China. denglc@jyrmyy.com.
Zhi-Hao ZhangState Key Laboratory of Natural Medicines, Clinical Metabolomics Center, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China. 1620174425@cpu.edu.cn.
Jin-Jun ShanJiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, China. jshan@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSolitary pulmonary nodules (SPNs) are commonly found in imaging technologies, but are plagued by high false-positive rates.

objectiveWe aimed to identify metabolic alterations in SPN etiology and diagnosis using less invasive plasma metabolomics and lipidomics.

methodsIn total, 1160 plasma samples were obtained from healthy volunteers (n = 280), benign SPNs (n = 157) and malignant SPNs (stage I, n = 723) patients enrolled from 5 independent centers. Gas chromatography-triple quadrupole mass spectrometry (GC‒MS) and liquid chromatography-Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometry (LC‒MS) were used to analyze the samples for untargeted metabolomics and lipidomics. RESULTS AND

conclusionGC‒MS-based metabolomics revealed 1336 metabolic features, while LC‒MS-based lipidomics revealed 6088 and 2542 lipid features in the positive and negative ion modes, respectively. The metabolic and lipidic characteristics of healthy vs. benign or malignant SPNs exhibited substantial pattern differences. Of note, benign and malignant SPNs had no significant variations in circulating metabolic and lipidic markers and were validated in four other centers. This study demonstrates evidence of early metabolic alterations that can possibly distinguish SPNs from healthy controls, but not between benign and malignant SPNs.

Indexed as

Lung NeoplasmsSolitary Pulmonary NoduleDiagnosis, DifferentialHumansLipidomicsMetabolomicsLess invasive diagnosisLipidomicsMetabolomicsSolitary pulmonary nodules

Identifiers

PMID36036299

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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.