ReviewFood science & nutrition2026
Research on the Mechanism of Natural Products Acting on Chronic Obstructive Pulmonary Disease.
Review in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic obstructive pulmonary disease (COPD) is one of the major health problems worldwide. Its pathological process involves multiple mechanisms such as oxidative stress, chronic airway inflammation, airway remodeling, and excessive mucus secretion. Current clinical therapeutic drugs have limitations in curbing the progression of the disease. An increasing number of studies have shown that natural products, due to their multi-target synergistic regulatory characteristics and good biological safety, have shown important research value and application potential in the prevention and treatment of COPD. This article discusses the potential therapeutic effects of about 80 natural compounds from plants, microorganisms, animals, and marine organisms on COPD, and summarizes more than 350 references to analyze their potential mechanisms.
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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.