Evidence map›Paper›PMID 29029603›Full record

ReviewJournal of translational medicine2017

The pathophysiological role of mitochondrial oxidative stress in lung diseases.

Xiaojing Liu, Zhihong Chen

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 191 citations in OpenAlex.

  1. Article
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  6. Research Progress on the Mechanisms of High Mucus Secretion in the Airway: A Scoping Review.International journal of chronic obstructive pulmonary disease · 2026
    Article
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37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Xiaojing LiuRespiratory Division of Zhongshan Hospital, Shanghai Institute of Respiratory Diseases, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China.
Zhihong ChenRespiratory Division of Zhongshan Hospital, Shanghai Institute of Respiratory Diseases, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China. czh60@hotmail.com.
Fudan University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria are critically involved in reactive oxygen species (ROS)-dependent lung diseases, such as lung fibrosis, asbestos, chronic airway diseases and lung cancer. Mitochondrial DNA (mtDNA) encodes mitochondrial proteins and is more sensitive to oxidants than nuclear DNA. Damage to mtDNA causes mitochondrial dysfunction, including electron transport chain impairment and mitochondrial membrane potential loss. Furthermore, damaged mtDNA also acts as a damage-associated molecular pattern (DAMP) that drives inflammatory and immune responses. In this review, crosstalk among alveolar epithelial cells, alveolar macrophages and mitochondria is examined. ROS-related transcription factors and downstream cell signaling pathways are also discussed. We conclude that targeting oxidative stress with antioxidant agents, such as thiol molecules, polyphenols and superoxide dismutase (SOD), and promoting mitochondrial biogenesis should be considered as novel strategies for treating lung diseases that currently have no effective treatment options.

Indexed as

Oxidative StressAnimalsDNA DamageDNA, MitochondrialHumansLung DiseasesMitochondriaReactive Oxygen SpeciesDNA, MitochondrialReactive Oxygen SpeciesAntioxidant agentsMitochondrial DNAReactive oxygen species

Identifiers

PMID29029603
PMCPMC5640915
OpenAlexW2763777263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.