Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation

Abstract Fire‐related smoke inhalation‐induced acute lung injury (SI‐ALI) is a prevalent condition in modern fires, characterized by high mortality and a lack of targeted therapeutic options. Previous research has been hindered by instability in smoke generation and modeling methods, limiting the in...

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Main Authors: Junmin Li, Dezhong Zhang, Yan Meng, Yongqing Chang, Wenbo Wei, Peng Wu, Lin Peng, Wei Chang, Wei Wang, Jie Huang, Jingjing Fang, Keming Zhu, Xiaojian Wan
Format: Article
Language:English
Published: Wiley 2025-06-01
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Online Access:https://doi.org/10.1002/VIW.20240114
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author Junmin Li
Dezhong Zhang
Yan Meng
Yongqing Chang
Wenbo Wei
Peng Wu
Lin Peng
Wei Chang
Wei Wang
Jie Huang
Jingjing Fang
Keming Zhu
Xiaojian Wan
author_facet Junmin Li
Dezhong Zhang
Yan Meng
Yongqing Chang
Wenbo Wei
Peng Wu
Lin Peng
Wei Chang
Wei Wang
Jie Huang
Jingjing Fang
Keming Zhu
Xiaojian Wan
author_sort Junmin Li
collection DOAJ
description Abstract Fire‐related smoke inhalation‐induced acute lung injury (SI‐ALI) is a prevalent condition in modern fires, characterized by high mortality and a lack of targeted therapeutic options. Previous research has been hindered by instability in smoke generation and modeling methods, limiting the investigation of SI‐ALI mechanisms. This study, for the first time, utilized organ‐on‐a‐chip and organoid technologies, optimizing chip design and precisely controlling smoke generation from non‐metallic materials to establish a human‐relevant, physiologically accurate model of fire‐related SI‐ALI. The results demonstrate that this model effectively simulates the alveolar‒capillary barrier and replicates key pathological features of lung injury, including oxidative stress, apoptosis, immune cell adhesion, inflammatory responses, capillary leakage, and mitochondrial damage. Injury responses of endothelial and epithelial cells to smoke exposure were thoroughly assessed at the organ level. Integrating proteomics and molecular biology techniques, along with comparisons to animal models, identified disease‐specific pathways related to the spliceosome and carbon metabolism, as well as pathogenic molecules such as catechol‐O‐methyltransferase (COMT) and nitrilase 1 (NIT1). Furthermore, molecular docking of COMT revealed potential therapeutic candidates from the FDA‐approved drug library, including Ractopamine HCl and Bimatoprost. The efficacy of intravenous vitamin C combined with nebulized budesonide was validated on the chip model, establishing a foundation for clinical applications. This study provides a robust model for investigating fire‐related SI‐ALI and offers novel insights into underlying mechanisms and therapeutic development.
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spelling doaj-art-a423ef5eb8c74f1db0609e07a6aefe3b2025-08-20T03:22:04ZengWileyView2688-39882688-268X2025-06-0163n/an/a10.1002/VIW.20240114Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluationJunmin Li0Dezhong Zhang1Yan Meng2Yongqing Chang3Wenbo Wei4Peng Wu5Lin Peng6Wei Chang7Wei Wang8Jie Huang9Jingjing Fang10Keming Zhu11Xiaojian Wan12Department of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaHuizhou First Maternal and Child Health Care Hospital Huizhou ChinaDepartment of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaDepartment of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaThe First Affiliated Hospital of Shenzhen University Shenzhen Second People's Hospital Shenzhen ChinaDepartment of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaDepartment of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaDepartment of Emergency Xuhui Hospital Affiliated to Fudan University Shanghai ChinaDepartment of Emergency Xuhui Hospital Affiliated to Fudan University Shanghai ChinaDepartment of Respiratory and Critical Care Medicine Xuhui Hospital Affiliated to Fudan University Shanghai ChinaNaval Medical Center The Naval Medical University Shanghai ChinaDepartment of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaDepartment of Critical Care Medicine, Changhai Hospital The Naval Medical University Shanghai ChinaAbstract Fire‐related smoke inhalation‐induced acute lung injury (SI‐ALI) is a prevalent condition in modern fires, characterized by high mortality and a lack of targeted therapeutic options. Previous research has been hindered by instability in smoke generation and modeling methods, limiting the investigation of SI‐ALI mechanisms. This study, for the first time, utilized organ‐on‐a‐chip and organoid technologies, optimizing chip design and precisely controlling smoke generation from non‐metallic materials to establish a human‐relevant, physiologically accurate model of fire‐related SI‐ALI. The results demonstrate that this model effectively simulates the alveolar‒capillary barrier and replicates key pathological features of lung injury, including oxidative stress, apoptosis, immune cell adhesion, inflammatory responses, capillary leakage, and mitochondrial damage. Injury responses of endothelial and epithelial cells to smoke exposure were thoroughly assessed at the organ level. Integrating proteomics and molecular biology techniques, along with comparisons to animal models, identified disease‐specific pathways related to the spliceosome and carbon metabolism, as well as pathogenic molecules such as catechol‐O‐methyltransferase (COMT) and nitrilase 1 (NIT1). Furthermore, molecular docking of COMT revealed potential therapeutic candidates from the FDA‐approved drug library, including Ractopamine HCl and Bimatoprost. The efficacy of intravenous vitamin C combined with nebulized budesonide was validated on the chip model, establishing a foundation for clinical applications. This study provides a robust model for investigating fire‐related SI‐ALI and offers novel insights into underlying mechanisms and therapeutic development.https://doi.org/10.1002/VIW.20240114acute lung injurydrug screeningfire incidentsmolecular dockingorgan‐on‐a‐chiporganoids
spellingShingle Junmin Li
Dezhong Zhang
Yan Meng
Yongqing Chang
Wenbo Wei
Peng Wu
Lin Peng
Wei Chang
Wei Wang
Jie Huang
Jingjing Fang
Keming Zhu
Xiaojian Wan
Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation
View
acute lung injury
drug screening
fire incidents
molecular docking
organ‐on‐a‐chip
organoids
title Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation
title_full Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation
title_fullStr Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation
title_full_unstemmed Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation
title_short Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation
title_sort modeling fire related smoke inhalation injury using the human lung on a chip and organoid platform pathogenesis insights and therapeutic evaluation
topic acute lung injury
drug screening
fire incidents
molecular docking
organ‐on‐a‐chip
organoids
url https://doi.org/10.1002/VIW.20240114
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