Comorbidity between respiratory system diseases and atherosclerosis: mechanisms and potential treatments

Respiratory diseases and atherosclerotic cardiovascular disease (ASCVD) frequently coexist in aging populations, yet the field is still dominated by parallel descriptions of pulmonary and vascular mechanisms rather than an integrated explanation of how lung pathology is translated into arterial injury. In this review, we propose a lung–blood–artery axis as the central conceptual framework linking respiratory disease to atherosclerosis. In this model, a shared susceptibility terrain—comprising aging, cellular senescence, smoking-related injury, oxidative stress, and metabolic dysfunction—primes both the respiratory system and the vasculature. Disease-specific respiratory triggers, including chronic airway or alveolar inflammation, intermittent hypoxia, fibrotic remodelling, type 2/allergic inflammation, chronic infection, and tumour- or therapy-related immune activation, then generate systemic signals that extend beyond the lung. These signals are transmitted through circulating cytokines and acute-phase reactants, extracellular vesicles, oxidized lipids, activated leukocytes and platelets, and neurohumoral pathways, and converge on endothelial dysfunction, innate immune amplification, disturbed lipid handling, oxidative stress, and cellular senescence within the arterial wall. This framework clarifies why different respiratory phenotypes can converge on common vascular outcomes while still differing in evidentiary strength. Current evidence is strongest for chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea, in which systemic inflammation, hypoxia-related vascular stress, and endothelial injury have substantial epidemiological, functional, and mechanistic support. In interstitial lung disease, asthma, bronchiectasis, and lung cancer, the association is increasingly supported, but the degree of cross-organ causal validation varies and, in some contexts, remains inferential. Framing respiratory–atherosclerotic multimorbidity in this way shifts the emphasis from organ-specific pathway cataloguing to translatable disease modules and therapeutic nodes. It also helps distinguish upstream respiratory triggers from downstream vascular effectors, thereby providing a more precise rationale for multimorbidity-oriented prevention and treatment strategies.

Authors

Institutions

Publication Details

Journal
Respiratory Research
Published
2026-11-03
DOI
https://doi.org/10.1186/s12931-026-03955-1
Primary Topic
Atherosclerosis and Cardiovascular Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comorbidity between respiratory system diseases and atherosclerosis: mechanisms and potential treatments

Lijian Pang, Xiaodong Lv, Ningzi Zang, Jiyu Zou et al.
Respiratory Research
Atherosclerosis and Cardiovascular Diseases
article

Comorbidity between respiratory system diseases and atherosclerosis: mechanisms and potential treatments

Lijian Pang, Xiaodong Lv, Ningzi Zang, Jiyu Zou, Jiaran Wang, Ziyi Liu, Jie Qin
article en

Abstract

Respiratory diseases and atherosclerotic cardiovascular disease (ASCVD) frequently coexist in aging populations, yet the field is still dominated by parallel descriptions of pulmonary and vascular mechanisms rather than an integrated explanation of how lung pathology is translated into arterial injury. In this review, we propose a lung–blood–artery axis as the central conceptual framework linking respiratory disease to atherosclerosis. In this model, a shared susceptibility terrain—comprising aging, cellular senescence, smoking-related injury, oxidative stress, and metabolic dysfunction—primes both the respiratory system and the vasculature. Disease-specific respiratory triggers, including chronic airway or alveolar inflammation, intermittent hypoxia, fibrotic remodelling, type 2/allergic inflammation, chronic infection, and tumour- or therapy-related immune activation, then generate systemic signals that extend beyond the lung. These signals are transmitted through circulating cytokines and acute-phase reactants, extracellular vesicles, oxidized lipids, activated leukocytes and platelets, and neurohumoral pathways, and converge on endothelial dysfunction, innate immune amplification, disturbed lipid handling, oxidative stress, and cellular senescence within the arterial wall. This framework clarifies why different respiratory phenotypes can converge on common vascular outcomes while still differing in evidentiary strength. Current evidence is strongest for chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea, in which systemic inflammation, hypoxia-related vascular stress, and endothelial injury have substantial epidemiological, functional, and mechanistic support. In interstitial lung disease, asthma, bronchiectasis, and lung cancer, the association is increasingly supported, but the degree of cross-organ causal validation varies and, in some contexts, remains inferential. Framing respiratory–atherosclerotic multimorbidity in this way shifts the emphasis from organ-specific pathway cataloguing to translatable disease modules and therapeutic nodes. It also helps distinguish upstream respiratory triggers from downstream vascular effectors, thereby providing a more precise rationale for multimorbidity-oriented prevention and treatment strategies.

Respiratory Research
Liaoning University of Traditional Chinese Medicine (CN), Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 20%
Atherosclerosis and Cardiovascular Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon