Cited by 97Metabolomics and Mass Spectrometry StudiesChronic Obstructive Pulmonary Disease (COPD) ResearchAdvanced Chemical Sensor Technologies

Metabonomic Profiling of Serum and Urine by 1H NMR-Based Spectroscopy Discriminates Patients with Chronic Obstructive Pulmonary Disease and Healthy Individuals

Open access
Wang, Lingling, Tang, Yufu, Liu, Shuo, Mao, Shitao, Ling, Yuan, Liu, Dan, He, Xiaoyu, Wang, Xiaoge·2013·PLoS ONE

Abstract

Chronic obstructive pulmonary disease (COPD) has seriously impacted the health of individuals and populations. In this study, proton nuclear magnetic resonance ((1)H NMR)-based metabonomics combined with multivariate pattern recognition analysis was applied to investigate the metabolic signatures of patients with COPD. Serum and urine samples were collected from COPD patients (n = 32) and healthy controls (n = 21), respectively. Samples were analyzed by high resolution (1)H NMR (600 MHz), and the obtained spectral profiles were then subjected to multivariate data analysis. Consistent metabolic differences have been found in serum as well as in urine samples from COPD patients and healthy controls. Compared to healthy controls, COPD patients displayed decreased lipoprotein and amino acids, including branched-chain amino acids (BCAAs), and increased glycerolphosphocholine in serum. Moreover, metabolic differences in urine were more significant than in serum. Decreased urinary 1-methylnicotinamide, creatinine and lactate have been discovered in COPD patients in comparison with healthy controls. Conversely, acetate, ketone bodies, carnosine, m-hydroxyphenylacetate, phenylacetyglycine, pyruvate and α-ketoglutarate exhibited enhanced expression levels in COPD patients relative to healthy subjects. Our results illustrate the potential application of NMR-based metabonomics in early diagnosis and understanding the mechanisms of COPD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0065675

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 63 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Wang, L., Tang, Y., Liu, S., Mao, S., Ling, Y., Liu, D., He, X., & Wang, X.
Affiliations
Fourth Affiliated Hospital of China Medical University (CN)
Corresponding author
Wang, Xiaoge
Venue
PLoS ONE
Published
2013-06-06
Volume
8
Issue
6
Pages
e65675
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1972864198
Cited by
97
References
63
Citations by year
2026: 3 · 2025: 6 · 2024: 6 · 2023: 4 · 2022: 6 · 2021: 9 · 2020: 4 · 2019: 13 · 2018: 13 · 2017: 10 · 2016: 7 · 2015: 11 · 2014: 5
FWCI
3.43
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Chinese Medical Association
  • China Medical University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Chemical Sensor Technologies
Keywords
chronic obstructive pulmonary disease, metabolomics, serum metabolites, urinary metabolites, 1H NMR, metabolic signatures, branched-chain amino acids, N1-methylnicotinamide, creatinine, lactate, ketone bodies, carnosine, early diagnosis
MeSH terms
Adult, Aged, Aged, 80 and over, Amino Acids, Amino Acids, Branched-Chain, Female, Humans, Lipoproteins, Male, Middle Aged, Magnetic Resonance Spectroscopy, Phosphorylcholine, Pulmonary Disease, Chronic Obstructive, Metabolomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review