Evidence map›Paper›PMID 40722943›Full record

ReviewAntioxidants (Basel, Switzerland)2025

Oxidative Stress and Inflammation in Hypoxemic Respiratory Diseases and Their Comorbidities: Molecular Insights and Diagnostic Advances in Chronic Obstructive Pulmonary Disease and Sleep Apnea.

Jorge Rodríguez-Pérez, Rosa Andreu-Martínez, Roberto Daza, Lucía Fernández-Arroyo, Ana Hernández-García, Elena Díaz-García, Carolina Cubillos-Zapata, Alicia Lozano-Diez, Aythami Morales, Daniel Ramos and 5 more

Abstract readReview
In one paragraph

Review in Antioxidants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

15 authors.

Jorge Rodríguez-PérezDepartment of Medicine, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Rosa Andreu-MartínezDepartment of Medicine, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0002-2553-7344
Roberto DazaBiometrics and Data Pattern Analytics Lab, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Lucía Fernández-ArroyoDepartment of Medicine, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Ana Hernández-GarcíaDepartment of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0009-0001-2005-7077
Elena Díaz-GarcíaCentro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-4549-0678
Carolina Cubillos-ZapataCentro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Alicia Lozano-DiezAUDIAS-Audio, Data Intelligence and Speech, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0002-5918-8568
Aythami MoralesBiometrics and Data Pattern Analytics Lab, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Daniel RamosAUDIAS-Audio, Data Intelligence and Speech, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0001-5998-1489
Julián AragonésDepartment of Medicine, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Ángel CogolludoDepartment of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-1382-1698
Luis Del PesoIdiPAZ, Instituto de Investigación Sanitaria del Hospital Universitario La Paz, 28029 Madrid, Spain.ORCID 0000-0003-4014-5688
Francisco García-RíoCentro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, 28029 Madrid, Spain.ORCID 0000-0002-7227-2238
María J CalzadaDepartment of Medicine, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0001-8615-960X

Funding

Redes en Biomedicina from Comunidad Autonoma of Madrid; INSPIRACM (P2022/BMD7224) INSPIRACM (P2022/BMD7224)
6 · The paper itself

Abstract

In chronic respiratory diseases (CRDs), oxidative stress and inflammation are closely linked, driving disease onset, progression, and comorbidities. Oxidative stress activates inflammatory pathways, while chronic inflammation promotes further reactive oxygen species (ROS) production, creating a vicious cycle leading to airway remodeling, reduced lung function, and exacerbations. This review highlights the central roles of inflammation and oxidative stress in chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA). In COPD, chronic hypoxemia associates with emphysema, appearing with disease progression. In OSA, beyond systemic consequences, pulmonary inflammation and oxidative stress contribute to lung injury as well. Although COPD and OSA are distinct conditions, some patients present with "overlap syndrome", a term used in this review to describe the coexistence of both. This combination poses unique diagnostic and therapeutic challenges. We also examine the role of hypoxia and its transcriptional effects via hypoxia-inducible factors (HIFs) in promoting oxidative stress and inflammation. Finally, we explore how artificial intelligence (AI) offers promising tools to improve diagnosis, monitoring, and management of CRDs and may help elucidate mechanistic links between hypoxia, inflammation, and oxidative stress, contributing to more personalized therapeutic strategies.

Indexed as

artificial intelligencecancerchronic obstructive respiratory diseasecomorbiditiesHIFhypoxiainflammationobstructive sleep apneaoxidative stresspulmonary hypertension

Identifiers

PMID40722943
PMCPMC12291694

What Socratic 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 Socratic graph.