Kindlin-2 inhibits TNF/NF-κB-Caspase 8 pathway in hepatocytes to maintain liver development and function

  1. Huanqing Gao
  2. Yiming Zhong
  3. Liang Zhou
  4. Sixiong Lin
  5. Xiaoting Hou
  6. Zhen Ding
  7. Yan Li
  8. Qing Yao
  9. Huiling Cao
  10. Xuenong Zou
  11. Di Chen
  12. Xiaochun Bai  Is a corresponding author
  13. Guozhi Xiao  Is a corresponding author
  1. Southern Taiwan University of Science and Technology, China
  2. Southern University of Science and Technology, China
  3. Sun Yat-sen University, China
  4. Chinese Academy of Sciences, China
  5. Southern Medical University, China

Abstract

Inflammatory liver diseases are a major cause of morbidity and mortality worldwide; however, underlying mechanisms are incompletely understood. Here we show that deleting the focal adhesion protein Kindlin-2 expression in hepatocytes using the Alb-Cre transgenic mice causes a severe inflammation, resulting in premature death. Kindlin-2 loss accelerates hepatocyte apoptosis with subsequent compensatory cell proliferation and accumulation of the collagenous extracellular matrix, leading to massive liver fibrosis and dysfunction. Mechanistically, Kindlin-2 loss abnormally activates the tumor necrosis factor (TNF) pathway. Blocking activation of the TNF signaling pathway by deleting TNF receptor or deletion of Caspase 8 expression in hepatocytes essentially restores liver function and prevents premature death caused by Kindlin-2 loss. Finally, of translational significance, adeno-associated virus mediated overexpression of Kindlin-2 in hepatocytes attenuates the D-galactosamine and lipopolysaccharide-induced liver injury and death in mice. Collectively, we establish that Kindlin-2 acts as a novel intrinsic inhibitor of the TNF pathway to maintain liver homeostasis and may define a useful therapeutic target for liver diseases.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting file; Source Data files have been provided for Figures 1-7 and supplementary figures.

Article and author information

Author details

  1. Huanqing Gao

    Department of Biochemistry, Southern Taiwan University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8567-3583
  2. Yiming Zhong

    Department of Biochemistry, Southern University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
  3. Liang Zhou

    Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Sun Yat-sen University, Guangzhou, China
    Competing interests
    No competing interests declared.
  4. Sixiong Lin

    Department of Spinal Surgery, Sun Yat-sen University, Guangzhou, China
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7155-5044
  5. Xiaoting Hou

    Department of Biochemistry, Southern University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
  6. Zhen Ding

    Department of Biochemistry, Southern University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
  7. Yan Li

    Department of Biology, Southern University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
  8. Qing Yao

    Department of Biochemistry, Southern University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
  9. Huiling Cao

    Department of Biochemistry, Southern University of Science and Technology, Shenzhen, China
    Competing interests
    No competing interests declared.
  10. Xuenong Zou

    Department of Spinal Surgery, Sun Yat-sen University, Guangzhou, China
    Competing interests
    No competing interests declared.
  11. Di Chen

    Research Center for Computer-aided Drug Discovery, Chinese Academy of Sciences, Shenzhen, China
    Competing interests
    Di Chen, Reviewing editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4258-3457
  12. Xiaochun Bai

    Department of Cell Biology, Southern Medical University, Guangzhou, China
    For correspondence
    baixc15@smu.edu.cn
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9631-4781
  13. Guozhi Xiao

    Department of Biochemistry, Southern University of Science and Technology, Shenzhen, China
    For correspondence
    xiaogz@sustech.edu.cn
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4269-2450

Funding

National Key Research and Development Program of China (2019YFA0906004)

  • Guozhi Xiao

National Natural Science Foundation of China (82230081,82250710175,82172375,81991513 and 81870532)

  • Guozhi Xiao

Shenzhen Municipal Science and Technology Innovation Council (JCYJ20180302174246105)

  • Huanqing Gao

Shenzhen Municipal Science and Technology Innovation Council (JCYJ20220818100617036,ZDSYS20140509142721429)

  • Guozhi Xiao

Guangdong Provincial Science and Technology Innovation Council Grant (2017B030301018)

  • Guozhi Xiao

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

Ethics

Animal experimentation: All animal experiments were approved and conducted in the specific pathogen free (SPF) Experimental Animal Center of Southern University of Science and Technology (Approval number: 20200074).

Copyright

© 2023, Gao 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

  • 860
    views
  • 171
    downloads
  • 9
    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. Huanqing Gao
  2. Yiming Zhong
  3. Liang Zhou
  4. Sixiong Lin
  5. Xiaoting Hou
  6. Zhen Ding
  7. Yan Li
  8. Qing Yao
  9. Huiling Cao
  10. Xuenong Zou
  11. Di Chen
  12. Xiaochun Bai
  13. Guozhi Xiao
(2023)
Kindlin-2 inhibits TNF/NF-κB-Caspase 8 pathway in hepatocytes to maintain liver development and function
eLife 12:e81792.
https://doi.org/10.7554/eLife.81792

Share this article

https://doi.org/10.7554/eLife.81792

Further reading

    1. Cell Biology
    2. Physics of Living Systems
    David Trombley McSwiggen, Helen Liu ... Hilary P Beck
    Research Article

    The regulation of cell physiology depends largely upon interactions of functionally distinct proteins and cellular components. These interactions may be transient or long-lived, but often affect protein motion. Measurement of protein dynamics within a cellular environment, particularly while perturbing protein function with small molecules, may enable dissection of key interactions and facilitate drug discovery; however, current approaches are limited by throughput with respect to data acquisition and analysis. As a result, studies using super-resolution imaging are typically drawing conclusions from tens of cells and a few experimental conditions tested. We addressed these limitations by developing a high-throughput single-molecule tracking (htSMT) platform for pharmacologic dissection of protein dynamics in living cells at an unprecedented scale (capable of imaging >106 cells/day and screening >104 compounds). We applied htSMT to measure the cellular dynamics of fluorescently tagged estrogen receptor (ER) and screened a diverse library to identify small molecules that perturbed ER function in real time. With this one experimental modality, we determined the potency, pathway selectivity, target engagement, and mechanism of action for identified hits. Kinetic htSMT experiments were capable of distinguishing between on-target and on-pathway modulators of ER signaling. Integrated pathway analysis recapitulated the network of known ER interaction partners and suggested potentially novel, kinase-mediated regulatory mechanisms. The sensitivity of htSMT revealed a new correlation between ER dynamics and the ability of ER antagonists to suppress cancer cell growth. Therefore, measuring protein motion at scale is a powerful method to investigate dynamic interactions among proteins and may facilitate the identification and characterization of novel therapeutics.

    1. Cell Biology
    Hongqian Chen, Hui-Qing Fang ... Peng Liu
    Tools and Resources

    The FSH-FSHR pathway has been considered an essential regulator in reproductive development and fertility. But there has been emerging evidence of FSHR expression in extragonadal organs. This poses new questions and long-term debates regarding the physiological role of the FSH-FSHR, and underscores the need for reliable, in vivo analysis of FSHR expression in animal models. However, conventional methods have proven insufficient for examining FSHR expression due to several limitations. To address this challenge, we developed Fshr-ZsGreen reporter mice under the control of Fshr endogenous promoter using CRISPR-Cas9. With this novel genetic tool, we provide a reliable readout of Fshr expression at single-cell resolution level in vivo and in real time. Reporter animals were also subjected to additional analyses,to define the accurate expression profile of FSHR in gonadal and extragonadal organs/tissues. Our compelling results not only demonstrated Fshr expression in intragonadal tissues but also, strikingly, unveiled notably increased expression in Leydig cells, osteoblast lineage cells, endothelial cells in vascular structures, and epithelial cells in bronchi of the lung and renal tubes. The genetic decoding of the widespread pattern of Fshr expression highlights its physiological relevance beyond reproduction and fertility, and opens new avenues for therapeutic options for age-related disorders of the bones, lungs, kidneys, and hearts, among other tissues. Exploiting the power of the Fshr knockin reporter animals, this report provides the first comprehensive genetic record of the spatial distribution of FSHR expression, correcting a long-term misconception about Fshr expression and offering prospects for extensive exploration of FSH-FSHR biology.