ReviewERJ open research2023
Update on metabolomic findings in COPD patients.
Review in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 17 citations in OpenAlex.
- Luteolin ameliorates cigarette smoke-induced chronic obstructive pulmonary disease by modulating gut and lung microbiota and amino acid metabolism in C57Bl/6 mice.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Plasma metabolomic signatures enable the diagnosis and prognosis of chronic obstructive pulmonary disease.Nature communications · 2026Article
- Fueling the fire: metabolic dysfunction and senescence as drivers of lung aging and disease.Physiological reviews · 2026Review
- Epoxyeicosatrienoic acids protect airway epithelial mitochondria by activating the cAMP/PKA-DRP1 Ser637 axis in cigarette smoke-induced lung injury.Respiratory research · 2026Article
- Sex-Specific Plasma Metabolomic Signatures in COPD Reveal Creatine, Purine/Urate, and Bile-Acid Axes.Metabolites · 2026Article
- Multi-omics reveals cholesterol-driven macrophage metabolic reprogramming and inflammation in chronic obstructive pulmonary disease.Genome medicine · 2026Article
- Mendelian Randomization Study in East Asian Populations Supports the Causal Relationship Between Blood Metabolites and COPD: Insights from Amino Acids, Phospholipids, Vitamin D, and Trace Elements.International journal of chronic obstructive pulmonary disease · 2026Article
- Identifying Biomarkers for Chronic Obstructive Pulmonary Disease in the Salivary Metabolome.International journal of chronic obstructive pulmonary disease · 2026Article
- Article
- LncRNA IGF2-AS serves as a miR-106b-5p sponge to induce apoptosis and inflammatory reaction of bronchial epithelial cells in COPD.BMC pulmonary medicine · 2025Article
- Microbial contribution to metabolic niche formation varies across the respiratory tract.Cell host & microbe · 2025Article
- Metabolomic Plasma Profile of Chronic Obstructive Pulmonary Disease Patients.International journal of molecular sciences · 2025Article
- Identifying Metabolomic Biomarkers of Lung Function Decline in People with HIV.Journal of acquired immune deficiency syndromes (1999) · 2025Article
- The relationship between genetic prediction of 486 blood metabolites and the risk of COPD: mendelian randomization study.Scientific reports · 2025Article
- From metabolic alterations to chronic inflammation: mechanisms and immunoregulation of metabolic reprogramming in COPD.Frontiers in immunology · 2025Review
- Succinate dehydrogenase-complex II regulates skeletal muscle cellular respiration and contractility but not muscle mass in genetically induced pulmonary emphysema.Science advances · 2024Article
- Article
- Review
- Serum Metabolomics Analysis Revealed Metabolic Pathways Related to AECOPD Complicated with Anxiety and Depression.International journal of chronic obstructive pulmonary disease · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COPD is a heterogeneous disorder that shows diverse clinical presentations (phenotypes and "treatable traits") and biological mechanisms (endotypes). This heterogeneity implies that to carry out a more personalised clinical management, it is necessary to classify each patient accurately. With this objective, and in addition to clinical features, it would be very useful to have well-defined biological markers. The search for these markers may either be done through more conventional laboratory and hypothesis-driven techniques or relatively blind high-throughput methods, with the omics approaches being suitable for the latter. Metabolomics is the science that studies biological processes through their metabolites, using various techniques such as gas and liquid chromatography, mass spectrometry and nuclear magnetic resonance. The most relevant metabolomics studies carried out in COPD highlight the importance of metabolites involved in pathways directly related to proteins (peptides and amino acids), nucleic acids (nitrogenous bases and nucleosides), and lipids and their derivatives (especially fatty acids, phospholipids, ceramides and eicosanoids). These findings indicate the relevance of inflammatory-immune processes, oxidative stress, increased catabolism and alterations in the energy production. However, some specific findings have also been reported for different COPD phenotypes, demographic characteristics of the patients, disease progression profiles, exacerbations, systemic manifestations and even diverse treatments. Unfortunately, the studies carried out to date have some limitations and shortcomings and there is still a need to define clear metabolomic profiles with clinical utility for the management of COPD and its implicit heterogeneity.
Identifiers
What OpenQuestion holds
Registered trials
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.