ReviewOxidative medicine and cellular longevity2023
The Molecular Blueprint for Chronic Obstructive Pulmonary Disease (COPD): A New Paradigm for Diagnosis and Therapeutics.
Review in Oxidative medicine and cellular longevity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Article
- Article
- METTL3‑mediated m6A methylation and its impact on OTUD1 expression in chronic obstructive pulmonary disease.Molecular medicine reports · 2025Article
- Spectral immune cell profiling reveals modulations in immune cell response to repetitive inhaled organic dust exposure in a high omega-3 fatty acid mouse model.Lipids in health and disease · 2025Article
- Clinical significance of HIF-1α, ET-1, and NO as biomarkers in chronic obstructive pulmonary disease patients with pulmonary hypertension.Biomolecules & biomedicine · 2025Article
- Aging Lung: Molecular Drivers and Impact on Respiratory Diseases-A Narrative Clinical Review.Antioxidants (Basel, Switzerland) · 2024Review
- The association between alpha-1 antitrypsin and B-type natriuretic peptide blood levels in healthy African Americans.BMC research notes · 2024Article
- Exploring Molecular Mechanisms and Biomarkers in COPD: An Overview of Current Advancements and Perspectives.International journal of molecular sciences · 2024Review
- Effect of Implementing an Informatization Case Management Model on the Management of Chronic Respiratory Diseases in a General Hospital: Retrospective Controlled Study.JMIR medical informatics · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global prevalence of chronic obstructive pulmonary disease (COPD) has increased over the last decade and has emerged as the third leading cause of death worldwide. It is characterized by emphysema with prolonged airflow limitation. COPD patients are more susceptible to COVID-19 and increase the disease severity about four times. The most used drugs to treat it show numerous side effects, including immune suppression and infection. This review discusses a narrative opinion and critical review of COPD. We present different aspects of the disease, from cellular and inflammatory responses to cigarette smoking in COPD and signaling pathways. In addition, we highlighted various risk factors for developing COPD apart from smoking, like occupational exposure, pollutants, genetic factors, gender, etc. After the recent elucidation of the underlying inflammatory signaling pathways in COPD, new molecular targeted drug candidates for COPD are signal-transmitting substances. We further summarize recent developments in biomarker discovery for COPD and its implications for disease diagnosis. In addition, we discuss novel drug targets for COPD that could be explored for drug development and subsequent clinical management of cardiovascular disease and COVID-19, commonly associated with COPD. Our extensive analysis of COPD cause, etiology, diagnosis, and therapeutic will provide a better understanding of the disease and the development of effective therapeutic options. In-depth knowledge of the underlying mechanism will offer deeper insights into identifying novel molecular targets for developing potent therapeutics and biomarkers of disease diagnosis.
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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.