Evidence map›Paper›PMID 37828646›Full record

ReviewBritish journal of pharmacology2024

Targeting accelerated pulmonary ageing to treat chronic obstructive pulmonary disease-induced neuropathological comorbidities.

Simone N De Luca, Ross Vlahos

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. How PMLife medicine · 2026
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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 1 institution in 1 country.

Simone N De LucaCentre for Respiratory Science and Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia.ORCID 0000-0001-9001-4024
Ross VlahosCentre for Respiratory Science and Health, School of Health & Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia.ORCID 0000-0001-8443-7071
RMIT University · AU

Funding

Lung Foundation Australia/Boehringer Ingelheim Postdoctoral Research FellowshipNational Health and Medical Research Council of Australia ID1139843RMIT University
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a major incurable health burden, ranking as the third leading cause of death worldwide, mainly driven by cigarette smoking. COPD is characterised by persistent airway inflammation, lung function decline and premature ageing with the presence of pulmonary senescent cells. This review proposes that cellular senescence, a state of stable cell cycle arrest linked to ageing, induced by inflammation and oxidative stress in COPD, extends beyond the lungs and affects the systemic circulation. This pulmonary senescent profile will reach other organs via extracellular vesicles contributing to brain inflammation and damage, and increasing the risk of neurological comorbidities, such as stroke, cerebral small vessel disease and Alzheimer's disease. The review explores the role of cellular senescence in COPD-associated brain conditions and investigates the relationship between cellular senescence and circadian rhythm in COPD. Additionally, it discusses potential therapies, including senomorphic and senolytic treatments, as novel strategies to halt or improve the progression of COPD.

Indexed as

LungPulmonary Disease, Chronic ObstructiveAgingCellular SenescenceHumansOxidative Stressaccelerated ageingcellular senescencechronic obstructive pulmonary diseasecircadian rhythmneurodegeneration

Identifiers

PMID37828646
PMCPMC10952708
OpenAlexW4387599522

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.