Evidence map›Paper›PMID 42135759›Full record

Observational studyRespiratory research2026

Quantitative label-free multiphoton imaging of collagen features predicts disease severity and progression in idiopathic pulmonary fibrosis.

Wei Liu, Yu Sun, Ling Zhao, Shu Wang, Guowu Zhou, Shiyao Wang, Sheng Xie, Jing Geng, Bingbing Xie, Aimin Wang and 1 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Wei Liu *China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yu Sun *School of Electronics, Peking University, Beijing, China.
Ling ZhaoDepartment of Pathology, China-Japan Friendship Hospital, Beijing, China.
Shu WangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China.
Guowu ZhouNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P.R. China.
Shiyao WangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P.R. China.
Sheng XieDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Jing GengNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P.R. China.
Bingbing XieNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, P.R. China.
Aimin WangSchool of Electronics, Peking University, Beijing, China. wangaimin@pku.edu.cn.
Huaping DaiChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. daihuaping@ccmu.edu.cn.

Funding

Capital's Funds for Health Improvement and Research No. 2024-1-4062National Key Technologies R&D Program of China No. 2021YFC2500700 & 2016YFC0901100National Natural Science Foundation of China 62575072 to S.W.National Natural Science Foundation of China No. 82370072, 82500089
6 · The paper itself

Abstract

objectiveThe prognostic value of deep-tissue microstructure profiling derived from transbronchial lung cryobiopsy (TBLC) specimens in idiopathic pulmonary fibrosis (IPF) remains poorly explored. This study aims to bridge this gap by quantitatively extracting collagen features in heterogeneous pathological regions using multiphoton microscopy (MPM), and providing novel insights into the potential of collagen features as sensitive biomarkers for predicting severity and disease progression in IPF.

methodsIn this prospective and observational study, a total of 82 patients with IPF undergoing TBLC and 22 healthy controls were enrolled. The differences in collagen features between the normal/mild and moderate/severe groups were compared. Multivariate logistic regression was used to identify collagen features associated with disease progression.

resultsHistopathologically, 62.2% of the cohort exhibited a probable usual interstitial pneumonia (UIP) pattern. PERMANOVA indicated pronounced divergent collagen topographies among the five pathological regions (F = 14.14, R

conclusionsMPM imaging successfully mapped the spatial heterogeneity of the fibrotic microenvironment in IPF by quantifying collagen signatures. The morphological and structural features of collagen fibers could serve as promising pathological biomarkers for precisely assessing the severity and progression of IPF.

Indexed as

CollagenDisease ProgressionIdiopathic Pulmonary FibrosisLungMicroscopy, Fluorescence, MultiphotonSeverity of Illness IndexAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesCollagenCollagen fiber featuresIdiopathic pulmonary fibrosisMultiphoton microscopyQuantitative analysisTransbronchial lung cryobiopsy

Identifiers

PMID42135759
PMCPMC13220536

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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.