Abstract

Aging is a critical risk factor in idiopathic pulmonary fibrosis (IPF). Dysfunction and loss of type 2 alveolar epithelial cells (AEC2s) with failed regeneration is a seminal causal event in the pathogenesis of IPF, although the precise mechanisms for their regenerative failure and demise remain unclear. To systematically examine the genomic program changes of AEC2s in aging and after lung injury, we performed unbiased single-cell RNA-seq analyses of lung epithelial cells from uninjured or bleomycin-injured young and old mice, as well as from lungs of IPF patients and healthy donors. We identified three AEC2 subsets based on their gene signatures. Subset AEC2-1 mainly exist in uninjured lungs, while subsets AEC2-2 and AEC2-3 emerged in injured lungs and increased with aging. Functionally, AEC2 subsets are correlated with progenitor cell renewal. Aging enhanced the expression of the genes related to inflammation, stress responses, senescence, and apoptosis. Interestingly, lung injury increased aging-related gene expression in AEC2s even in young mice. The synergistic effects of aging and injury contributed to impaired AEC2 recovery in aged mouse lungs after injury. In addition, we also identified three subsets of AEC2s from human lungs that formed three similar subsets to mouse AEC2s. IPF AEC2s showed a similar genomic signature to AEC2 subsets from bleomycin-injured old mouse lungs. Taken together, we identified synergistic effects of aging and AEC2 injury in transcriptomic and functional analyses that promoted fibrosis. This study provides new insights into the interactions between aging and lung injury with interesting overlap with diseased IPF AEC2 cells.

Data availability

The raw datasets of single cell RNA-seq of mouse and human epithelial cells are under GSE157995 and GSE157996, respectively.

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. jiurong Liang

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  2. Guanling Huang

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  3. Xue Liu

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  4. Ningshan Liu

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  5. Forough Taghavifar

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  6. Kristy Dai

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  7. Changfu Yao

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  8. Nan Deng

    Genomics Core, Cedars-Sinai Medical Center, los Angeles, United States
    Competing interests
    No competing interests declared.
  9. Yizhou Wang

    Genomics Core, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  10. Peter Chen

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  11. Cory Hogaboam

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  12. Barry R Stripp

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  13. William C Parks

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    Competing interests
    No competing interests declared.
  14. Paul W Noble

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    For correspondence
    paul.noble@cshs.org
    Competing interests
    Paul W Noble, Senior editor, eLife.
  15. Dianhua Jiang

    Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States
    For correspondence
    dianhua.jiang@cshs.org
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4508-3829

Funding

National Institute on Aging (R0-1AG078655)

  • jiurong Liang

National Heart, Lung, and Blood Institute (R35-HL150829)

  • Paul W Noble

National Heart, Lung, and Blood Institute (R01-HL060539)

  • Paul W Noble

National Heart, Lung, and Blood Institute (P01-HL108793)

  • Dianhua Jiang

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: Animals and Study ApprovalAll mouse maintenance and procedures were done under the guidance of the Cedars-Sinai Medical Center Institutional Animal Care and Use Committee (IACUC008529) in accordance with institutional and regulatory guidelines. All mice were housed in a pathogen-free facility at Cedars-Sinai. Eight to 12 weeks old (young) and 18 to 24 months old (aged) wild-type C57Bl/6J mice were obtained from The Jackson Laboratory and housed in the institution facility at least 2 weeks before experiments.

Human subjects: Information of human subjects, Human Lung Tissue, and Study ApprovalThe use of human tissues for research was approved by the Institutional Review Board (IRB) of Cedars-Sinai and was under the guidelines outlined by the IRB (Pro00032727). Informed consent was obtained from each subject. The human samples used in the studies are age matched between IPF and healthy donors. The median age is 60 for healthy donors and 66 for IPF patients. We are aware to get the best age-matched samples within each experiment.

Copyright

© 2023, Liang et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,605
    views
  • 180
    downloads
  • 18
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. jiurong Liang
  2. Guanling Huang
  3. Xue Liu
  4. Ningshan Liu
  5. Forough Taghavifar
  6. Kristy Dai
  7. Changfu Yao
  8. Nan Deng
  9. Yizhou Wang
  10. Peter Chen
  11. Cory Hogaboam
  12. Barry R Stripp
  13. William C Parks
  14. Paul W Noble
  15. Dianhua Jiang
(2023)
Reciprocal interactions between alveolar progenitor dysfunction and aging promote lung fibrosis
eLife 12:e85415.
https://doi.org/10.7554/eLife.85415

Share this article

https://doi.org/10.7554/eLife.85415

Further reading

    1. Cancer Biology
    2. Cell Biology
    Kourosh Hayatigolkhatmi, Chiara Soriani ... Simona Rodighiero
    Tools and Resources

    Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer research. While current methods using fluorescent markers have improved the study of adherent cells, non-adherent cells remain challenging. In this study, we addressed this gap by combining a specialized surface to enhance cell attachment, the FUCCI(CA)2 sensor, an automated image analysis pipeline, and a custom machine learning algorithm. This approach enabled precise measurement of cell cycle phase durations in non-adherent cells. This method was validated in acute myeloid leukemia cell lines NB4 and Kasumi-1, which have unique cell cycle characteristics, and we tested the impact of cell cycle-modulating drugs on NB4 cells. Our cell cycle analysis system, which is also compatible with adherent cells, is fully automated and freely available, providing detailed insights from hundreds of cells under various conditions. This report presents a valuable tool for advancing cancer research and drug development by enabling comprehensive, automated cell cycle analysis in both adherent and non-adherent cells.

    1. Cell Biology
    Fatima Tleiss, Martina Montanari ... C Leopold Kurz
    Research Article

    Multiple gut antimicrobial mechanisms are coordinated in space and time to efficiently fight foodborne pathogens. In Drosophila melanogaster, production of reactive oxygen species (ROS) and antimicrobial peptides (AMPs) together with intestinal cell renewal play a key role in eliminating gut microbes. A complementary mechanism would be to isolate and treat pathogenic bacteria while allowing colonization by commensals. Using real-time imaging to follow the fate of ingested bacteria, we demonstrate that while commensal Lactiplantibacillus plantarum freely circulate within the intestinal lumen, pathogenic strains such as Erwinia carotovora or Bacillus thuringiensis, are blocked in the anterior midgut where they are rapidly eliminated by antimicrobial peptides. This sequestration of pathogenic bacteria in the anterior midgut requires the Duox enzyme in enterocytes, and both TrpA1 and Dh31 in enteroendocrine cells. Supplementing larval food with hCGRP, the human homolog of Dh31, is sufficient to block the bacteria, suggesting the existence of a conserved mechanism. While the immune deficiency (IMD) pathway is essential for eliminating the trapped bacteria, it is dispensable for the blockage. Genetic manipulations impairing bacterial compartmentalization result in abnormal colonization of posterior midgut regions by pathogenic bacteria. Despite a functional IMD pathway, this ectopic colonization leads to bacterial proliferation and larval death, demonstrating the critical role of bacteria anterior sequestration in larval defense. Our study reveals a temporal orchestration during which pathogenic bacteria, but not innocuous, are confined in the anterior part of the midgut in which they are eliminated in an IMD-pathway-dependent manner.