ArticleMembranes2021
Bioinformatic Analysis of
Article in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 10 citations in OpenAlex.
- The Inflammatory Roles of n-3 and n-6 Polyunsaturated Fatty Acids in COPD: Clinical Implications and Underlying Mechanisms.Journal of inflammation research · 2026Review
- Hypercholesterolemia as a Causal Risk Factor for COPD: Biomarker Discovery and Therapeutic Implications From NHANES Data.International journal of chronic obstructive pulmonary disease · 2025Article
- Electrocardiogram Features in Non-Cardiac Diseases: From Mechanisms to Practical Aspects.Journal of multidisciplinary healthcare · 2024Review
- Clinical Significance of Lipid Transport Function of ABC Transporters in the Innate Immune System.Membranes · 2022Review
- High-Density Lipoproteins in Non-Cardiovascular Diseases.International journal of molecular sciences · 2022Article
- High-Density Lipoproteins: A Role in Inflammation in COPD.International journal of molecular sciences · 2022Review
- Anti-Inflammatory Function of Fatty Acids and Involvement of Their Metabolites in the Resolution of Inflammation in Chronic Obstructive Pulmonary Disease.International journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smoking is a key modifiable risk factor for developing the chronic obstructive pulmonary disease (COPD). When smoking, many processes, including the reverse transport of cholesterol mediated by the ATP binding cassette transporter A1 (ABCA1) protein are disrupted in the lungs. Changes in the cholesterol content in the lipid rafts of plasma membranes can modulate the function of transmembrane proteins localized in them. It is believed that this mechanism participates in increasing the inflammation in COPD.
methodsBioinformatic analysis of datasets from Gene Expression Omnibus (GEO) was carried out. Gene expression data from datasets of alveolar macrophages and the epithelium of the respiratory tract in smokers and COPD patients compared with non-smokers were used for the analysis. To evaluate differentially expressed genes, bioinformatic analysis was performed in comparison groups using the limma package in R (v. 4.0.2), and the GEO2R and Phantasus tools (v. 1.11.0).
resultsThe conducted bioinformatic analysis showed changes in the expression of the
conclusionsThe conducted bioinformatic analysis showed that smoking can influence the expression of the
Indexed as
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.