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ArticleRespiratory research2025

The exosomal protein biomarkers auxiliary in diagnosis of interstitial lung disease.

Ming Dong, Gaolei Hu, Xi Chen, Lingling Zhang, Yuxiao Zhang, Yanting Fang, Shuilin Liao, Yukai Wang, Qian Li, Peiyan Zheng and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Multi-omics insights into the mechanisms and prognosis of IPF.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026
    Review
  2. Article
  3. The dual promise of extracellular vesicles in lung diseases: towards reliable biomarkers and drug delivery vectors.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  4. Review
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

16 authors.

Ming Dong *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China. dong_ming@gzlab.ac.cn.
Gaolei Hu *State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China.
Xi Chen *Guangdong Province, Guangzhou National Laboratory, Guangzhou, Guangdong Province, 510005, People's Republic of China.
Lingling ZhangGuangdong Province, Guangzhou National Laboratory, Guangzhou, Guangdong Province, 510005, People's Republic of China.
Yuxiao ZhangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China.
Yanting FangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China.
Shuilin LiaoGuangdong Province, Guangzhou National Laboratory, Guangzhou, Guangdong Province, 510005, People's Republic of China.
Yukai WangDepartment of Rheumatology and Immunology, Shantou Central Hospital, Shantou, Guangdong Province, People's Republic of China.
Qian LiThe First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqing, 400016, China.
Peiyan ZhengState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China.
Bingpeng GuoGuangdong Province, Guangzhou National Laboratory, Guangzhou, Guangdong Province, 510005, People's Republic of China.
Tinpou LaiGuangdong Province, Guangzhou National Laboratory, Guangzhou, Guangdong Province, 510005, People's Republic of China.
Qun LuoState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China.
Huimin HuangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China. huanghuimin311@126.com.
Qian HanGuangdong Province, Guangzhou National Laboratory, Guangzhou, Guangdong Province, 510005, People's Republic of China. hanqian1020@yahoo.com.
Baoqing SunState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Clinical Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, 510120, People's Republic of China. sunbaoqing@vip.163.com.

Funding

Guangdong Zhong Nanshan Medical Foundation 20220015Plan on enhancing scientific research in GMU GMUCR2024-01009the General Guidance Project of Health Science and Technology in Guangzhou 20231A011082the National Key Laboratory of Respiratory Diseases Clinical and Epidemiological Research Project SKLRD-L-202403the R&D Program of Guangzhou National Laboratory ZL-SRPG22-019the Start-up Foundation of Guangzhou National Laboratory YW-JCZD0101
6 · The paper itself

Abstract

backgroundExosome liquid biopsies might be a good supplement for early diagnosis of interstitial lung disease (ILD), especially those challenging cases such as connective tissue disease-ILD (CTD-ILD).

methodsWe developed a circulating exosomal proteomic signature to identify novel biomarkers of ILDs combined with high-resolution CT (HRCT) examination and a new method that makes exosome testing clinically feasible. Blood-derived exosomes were extracted and characterized using a centrifugal microfluidic disc system (Exo-CMDS)-based chemiluminescence immunoassay before being subjected to proteomic analysis by mass spectrometry. Significantly differentially expressed proteins (DEPs) were identified and validated in > 600 clinical samples (collected at three hospitals) by comparing the ILD and disease/healthy control groups. Multivariable logistic regression (LR) analysis was implemented to test the diagnostic performance of the selected biomarkers either alone or in combination.

resultsCandidate biomarkers KL-6, CAPN2, SP-B were selected from the top DEPs. An LR model that combined exosomal KL-6/CAPN2/SP-B levels performed well in both the discovery (AUC = 0.987, 95%CI = 0.975-0.998) and validation (AUC = 0.936, 95%CI = 0.911-0.960) sets. The LR model based on the three biomarkers exhibited markedly better diagnostic performance (AUC = 0.880, 95%CI = 0.834-0.925) in serum-KL-6-negative ILD, than the conventional serum-KL-6-based method and could also accurately diagnose connective tissue disease associated-ILD (CTD-ILD) in the context of CTD.

conclusionThe circulating exosomal protein detection system used in this study represents a valuable tool for identifying promising exosomal biomarkers for ILD and holds promise for improving the diagnosis and prognosis of patients with ILD in the future.

Indexed as

ExosomesLung Diseases, InterstitialAgedBiomarkersFemaleHumansMaleMiddle AgedProteomicsBiomarkersExosomal biomarkerInterstitial lung diseaseKrebs von den Lungen 6Liquid biopsy

Identifiers

PMID40750896
PMCPMC12317503

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