Skip to main content
Genes & Diseases logoLink to Genes & Diseases
. 2023 Aug 2;11(3):101065. doi: 10.1016/j.gendis.2023.06.034

LKB1 depletion-mediated epithelial–mesenchymal transition induces fibroblast activation in lung fibrosis

Zijian Xu a,1, Elizabeth R Davies a,b,1, Liudi Yao a, Yilu Zhou a,c, Juanjuan Li a, Aiman Alzetani d,e, Ben G Marshall d,e, David Hancock f, Tim Wallis d,e, Julian Downward f, Rob M Ewing a,c, Donna E Davies b,c,d, Mark G Jones b,c,d,∗∗, Yihua Wang a,c,d,
PMCID: PMC7615521  EMSID: EMS177469  PMID: 38222900

Abstract

The factors that determine fibrosis progression or normal tissue repair are largely unknown. We previously demonstrated that autophagy inhibition-mediated epithelial–mesenchymal transition (EMT) in human alveolar epithelial type II (ATII) cells augments local myofibroblast differentiation in pulmonary fibrosis by paracrine signaling. Here, we report that liver kinase B1 (LKB1) inactivation in ATII cells inhibits autophagy and induces EMT as a consequence. In IPF lungs, this is caused by the down-regulation of CAB39L, a key subunit within the LKB1 complex. 3D co-cultures of ATII cells and MRC5 lung fibroblasts coupled with RNA sequencing (RNA-seq) confirmed that paracrine signaling between LKB1-depleted ATII cells and fibroblasts augmented myofibroblast differentiation. Together, these data suggest that reduced autophagy caused by LKB1 inhibition can induce EMT in ATII cells and contribute to fibrosis via aberrant epithelial–fibroblast crosstalk.

Keywords: LKB1, CAB39L, EMT, Crosstalk, Pulmonary fibrosis

Introduction

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, fibrotic lung disease of unknown etiology.1 In IPF the current paradigm of disease pathogenesis proposes that the delicate alveolar architecture of the lung is disrupted by extracellular matrix (ECM) deposition as a consequence of repetitive micro-injuries to the alveolar epithelium, resulting in tissue scarring, increased stiffness, and impaired gas exchange. Two anti-fibrotic drugs, nintedanib and pirfenidone, are approved worldwide for the treatment of IPF however whilst there is evidence that they can slow disease progression they cannot stop or reverse it2 and so better treatments are urgently required.

We previously identified that alveolar epithelial type II (ATII) cells undergoing epithelial–mesenchymal transition (EMT) promote a pro-fibrotic microenvironment through paracrine signaling activating local fibroblasts.3, 4, 5 EMT is a dynamic, reversible process that has been implicated in embryonic development, wound healing, cancer metastasis, and fibrosis.6 Induction of EMT in fibrosis has been linked to a variety of processes including autophagy inhibition which triggers EMT via the p62/SQSMT1-NFκB-Snail2 signaling pathway.3,7 Autophagy (macro-autophagy) is a regulated self-management mechanism allowing the bulk or selective degradation of intracellular components and has been widely associated with several aging processes including neurodegeneration, cancer, and fibrosis.8 It has been reported that autophagy activity is reduced in IPF,9, 10, 11, 12, 13 however, signaling pathways leading to this phenomenon remain to be elucidated. Here, we report that the inactivation of liver kinase B1 (LKB1, encoded by the gene Serine/Threonine Kinase 11, STK11) in ATII cells inhibits autophagy and induces EMT. We identified down-regulation of CAB39L, the allosteric activator of LKB1 in IPF alveolar septae, and found that levels of CAB39L were significantly inversely correlated with SNAI2 (Snail2) suggesting that reduction of CAB39L in IPF alveolar epithelium leads to LKB1 inactivation and promotes EMT. The profibrotic relevance of alveolar LKB1 inactivation was demonstrated in 3D co-cultures of ATII cells and lung fibroblasts in which paracrine signaling between LKB1-depleted ATII cells and fibroblasts was shown to augment myofibroblast differentiation.

Materials and methods

Cell culture, reagents, and transfections

Sources of cell lines, culture conditions, and short interfering RNA (siRNA) transfections were reported earlier.3, 4, 5,14, 15, 16, 17 MRC5 lung fibroblasts were obtained from the European Collection of Authenticated Cell Cultures (ECACC). Fibroblasts were cultured in Dulbecco's Modified Eagle's Medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 50 units/mL penicillin, 50 μg/mL streptomycin, 2 mM l-glutamine, 1 mM sodium pyruvate, and 1× non-essential amino acids (all from Life Technologies). An alveolar type II (ATII) cell line18,19,5 was cultured in DCCM-1 (Biological Industries Ltd) supplemented with 10% new-born calf serum (NBCS) (Life Technologies), 1% penicillin, 1% streptomycin, and 1% l-glutamine (all from Life Technologies). The human ATII cell line grows in continuous culture and expresses the ATII cell marker, pro-surfactant protein C (ProSP-C).3,5 All cells were kept at 37 °C and 5% CO2. All cultures were tested and free of mycoplasma contamination. Details are provided in the Supplementary methods.

Three-dimensional (3D) co-cultures

Aggregation of 3D co-cultures was achieved using Nanoshuttle-PL (Greiner Bio-One). Briefly, MRC5 fibroblasts at 80% confluence were treated with Nanoshuttle-PL for 24 h, before trypsinization. Cells were then pipetted onto cell-repellant 96-well plates sat on a magnetic drive and left to incubate at 37 °C and 5% CO2 for a minimum of 3 h on the magnetic drive to enable the spheroid to form. The process was then repeated for control or LKB1-depleted ATII cells so they could then grow around the existing fibroblast spheroid. LKB1-depleted ATII cells were generated by transfection with LKB1 (STK11) siRNA oligos at a final concentration of 35 nM using DharmaFECT 2 reagent (Dharmacon).

Lung tissue sampling

All human lung tissue samples for primary cell culture were approved by the Southampton and South West Hampshire and the Mid and South Buckinghamshire Local Research Ethics Committees, and all subjects gave written informed consent. Clinically indicated IPF lung biopsy tissue samples and non-fibrotic control tissue samples (macroscopically normal lung sampled remote from a cancer site) were assessed as surplus to clinical diagnostic requirements. All IPF samples were from patients subsequently receiving a multidisciplinary diagnosis of IPF according to international consensus guidelines.20

RNA in situ hybridization

In situ detection of CAB39L mRNA on formalin-fixed paraffin-embedded (FFPE) sections of lung tissue from patients with IPF or non-fibrotic control was performed using RNAscope® technology (Advanced Cell Diagnostics, Biotechne, Abingdon, UK) (n = 3 samples each group).15 CAB39L mRNA was detected by the predesigned probe. Briefly, lung tissue sections (thicknesses: 5 μm) were baked at 60 °C, deparaffinized in xylene, followed by dehydration in graded ethanol. Target retrieval, hybridization with target probe, amplification, and chromogenic detection were performed according to the manufacturer's recommendations (RNAscope 2.5 HD Assay-RED for FFPE tissues). Sections were counterstained with Gill's hematoxylin and mounted with Vectamount prior to imaging. Assays were performed with positive (peptidylprolyl isomerase B, PPIB) and negative controls. Images were acquired using an Olympus Scanner VS110 (Olympus UK, Southend-on-Sea, UK).

Methods for RNA-seq and bioinformatics, Western blot, real-time qPCR; immunofluorescence microscopy, and luciferase reporter assay and statistical analysis

were reported earlier,3, 4, 5,14, 15, 16, 17 with details provided in the Supplementary methods.

Results

Global transcriptomic changes in LKB1-depleted alveolar type II (ATII) cells

It was reported previously that activation of AMP-activated protein kinase (AMPK), a downstream effector of LKB1, in myofibroblasts from IPF lungs reduces fibrogenic activity.21 To determine if, and how, ATII cells responded to alteration of LKB1 activity, we characterized the global transcriptomic changes in ATII cells upon RNA interference (RNAi)-mediated LKB1 depletion by performing RNA-seq. The human ATII cell line grows in continuous culture and expresses the ATII cell marker, pro-surfactant protein C, as reported earlier.7

Differentially expressed genes (DEGs) were defined by a false discovery rate (FDR)-adjusted P value (Padj) less than 0.05 and |Log2Fold Change| above 1. In total, 763 up-regulated and 664 down-regulated DEGs were identified (Table S1). Gene Ontology (GO) enrichment analysis was performed and grouped into molecular function, biological process, and cellular component. Of note, several EMT-related terms were identified, including cell junction, chemotaxis, and regulation of cell migration (FDR < 0.05; Fig. 1A; Fig. S1 and Table S2). To provide further mechanistic insights, Gene Set Enrichment Analysis (GSEA)22 was performed and several Hallmark pathways were identified, including “TNFα signaling pathway via NFκB” and “EMT” as the top up-regulated pathways in LKB1-depleted ATII cells (Fig. 1B and Table S3).

Figure 1.

Figure 1

Global transcriptomic changes in LKB1-depleted ATII cells. (A) The bar plot showing Gene Ontology (GO) enrichment of up-regulated and down-regulated differentially expressed genes (DEGs) in three groups: cellular component (orange), biological processes (yellow), and molecular functions (green). The top 10 enriched GO terms are arranged in −Log10 (P-value). (B) The scatter plot showing Gene Set Enrichment Analysis (GSEA). Results are ranked by the normalized enrichment score (NES). The color and size of the dots represent the false discovery rate (FDR) and gene counts, respectively.

LKB1 depletion in ATII cells induces EMT

Given that the “Hallmark_EMT” pathway was positively enriched upon LKB1 (STK11) depletion in ATII cells (Fig. 2A; normalized enrichment score, NES = 2.03; FDR < 0.001), we examined changes in EMT-associated genes. We identified increases in expression of VIM (Vimentin, a mesenchymal marker) and several EMT-transcriptional factors, in particular, SNAI2 (encoding Snail2), as well as a reduction in CDH1 (encoding E-cadherin, an epithelial marker) in our RNA-seq dataset (Fig. 2B) which we confirmed by real-time qPCR (Fig. 2C), as well as demonstrating increased protein levels of Snail2 while E-cadherin protein was decreased (Fig. 2D). Together, these results demonstrate that loss of LKB1 activates an EMT program in ATII cells.

Figure 2.

Figure 2

LKB1 depletion in ATII cells induces EMT. (A) The Gene Set Enrichment Analysis (GSEA) plot showing the enrichment of Hallmark_Epithelial–Mesenchymal Transition in LKB1-depleted ATII cells. Normalized enrichment score (NES) and false discovery rate (FDR) are indicated. (B) The RNA-seq data showing relative expressions of CDH1 (encoding E-cadherin), VIM (encoding Vimentin), SNAI1 (encoding Snail1), SNAI2 (encoding Snail2), TWIST1, ZEB1, and ZEB2 in LKB1-depleted ATII cells versus control. The data were expressed as mean ± standard deviation. n = 3 samples in each group; ∗∗P < 0.01, ∗∗∗P < 0.001, ∗∗∗∗P < 0.0001; ns, not significant. (C) Relative fold changes in mRNA levels of CDH1 (E-cadherin), VIM (Vimentin), SNAI1 (Snail1), SNAI2 (Snail2), TWIST1, ZEB1, and ZEB2 in LKB1-depleted ATII cells versus control. ACTB (encoding β-actin)-normalized mRNA levels in ATII cells were used to set the baseline value at unity. The data were expressed as mean ± standard deviation. n = 3 samples in each group; P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001; ns, not significant. (D) Protein expressions of E-cadherin, Snail2, and LKB1 in ATII cells transfected with the indicated siRNA. β-Tubulin was used as a loading control.

LKB1 depletion leads to autophagy inhibition-mediated EMT via the p62-NFκB-Snail2 pathway in ATII cells

Another highly enriched pathway in LKB1-depleted ATII cells was “Hallmark_TNFα signaling pathway via NFκB” (Fig. S2A; normalized enrichment score, NES = 2.45; FDR < 0.001). To verify this, we assessed NFκB activity using a reporter assay identifying that LKB1 depletion in ATII cells increased NFκB activity above 2-fold (Fig. S2B; P < 0.01).

We have previously demonstrated that autophagy inhibition induced accumulation of p62/SQSMT1 and activation of the NFκB pathway.3,16 Given our identification of increased NFκB activity upon LKB1 silencing, we, therefore, investigated the role of LKB1 on autophagy activity in ATII cells. This identified that LKB1 depletion in ATII cells led to autophagy inhibition, as demonstrated by decreased levels of LC3-II and increased p62 by Western blot analysis (Fig. 3A), as well as punctate staining for p62 by immunofluorescence (Fig. 3B).

Figure 3.

Figure 3

LKB1 depletion leads to autophagy inhibition-mediated EMT via the p62-NFκB-Snail2 pathway in ATII cells. (A) Protein expression of LC3-I, LC3-II, p62, and LKB1 in ATII cells transfected with the indicated siRNA. β-actin was used as a loading control. (B) Immunofluorescence staining of p62 (red) in ATII cells transfected with the indicated siRNA. DAPI (blue) was used to stain nuclei. Scale bar, 40 μm. (C) NF-κB reporter assays in ATII cells with the indicated treatment. Values represent the relative fold of Renilla luciferase, normalized against control (1.0). The data were expressed as mean ± standard deviation. n = 3 samples in each group; ∗∗P < 0.01. (D) Protein expression of Snail2, p65, and LKB1 in ATII cells with the indicated treatment. β-Tubulin was used as a loading control. (E) Protein expression of Snail2, p62, and LKB1 in ATII cells with the indicated treatment. β-actin was used as a loading control.

We next checked if LKB1 depletion induced EMT via the p62-NFκB-Snail2 pathway. Depletion of p62 abolished the increase in NFκB activity induced by LKB1 knockdown (Fig. 3C), suggesting that LKB1 depletion in ATII cells triggers the NFκB pathway via p62. Functionally, the knockdown of either NFκB p65 (Fig. 3D) or p62 (Fig. 3E) abolished the increase in Snail2 expression induced by LKB1 depletion in ATII cells. Taken together, these results demonstrate that LKB1 inactivation in ATII cells inhibits autophagy and promotes EMT via a p62-NFκB pathway.

Down-regulation of CAB39L in human IPF lungs

Activation of LKB1 occurs via allosteric binding of LKB1 to STE20-related adapter (STRAD) and mouse protein 25 (MO25, encoded by CAB39 and CAB39L).23 Given our in vitro findings, we compared the expression of LKB1 (STK11), STRADA, STRADB, CAB39, and CAB39L in IPF and control lungs in a transcriptomic dataset that we have recently established (GSE169500).15 Briefly, laser capture microdissection was performed upon formalin-fixed paraffin-embedded (FFPE) control non-fibrotic lung tissue (alveolar septae, n = 10) and usual interstitial pneumonia/idiopathic pulmonary fibrosis FFPE lung tissue (fibroblast foci and adjacent non-affected alveolar septae, n = 10 each), followed by RNA-seq. Among those subunits within the LKB1 complex, only the expression of CAB39L, the allosteric activator of LKB1, was down-regulated in IPF alveolar septae (Fig. 4A). By contrast, the expression of other subunits, including LKB1 (STK11), STRADA, STRADB, and CAB39, did not significantly change in IPF lungs (Fig. S3). Down-regulation of CAB39L in human IPF lung tissue was confirmed using real-time qPCR of IPF tissue lysates (Fig. 4B; P < 0.05) as well as RNA in situ hybridization of alveolar septae (Fig. 4C). We also assessed the expression of CAB39L and SNAI2 (encoding Snail2) in alveolar septae from control and IPF lungs using the same dataset (GSE169500) and found that the levels of CAB39L were significantly inversely correlated with SNAI2 (Snail2) (Fig. 4D; Pearson r = −0.65; n = 20; P = 0.002). These observations support the concept that in IPF alveolar epithelium down-regulation of CAB39L leads to LKB1 inactivation and promotes EMT via the p62-NFκB pathway (Fig. 4E).

Figure 4.

Figure 4

Down-regulation of CAB39L in human IPF lungs. (A) Expression of CAB39L in healthy (control) alveolar septae, IPF alveolar septae, and IPF fibroblast foci (n = 10 individual healthy and IPF donors; GSE169500). Relative expression levels are calculated as Fragments Per Kilobase of transcript per Million mapped reads (FPKM). The data were expressed as mean ± standard deviation. n = 10 samples in each group; P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001. (B) Relative fold changes in the mRNA level of CAB39L in human non-fibrotic control versus IPF lung tissue. The data were expressed as mean ± standard deviation. n = 6 samples in each group; P < 0.05. (C) Representative images of mRNA expression of CAB39L (arrows) in non-fibrotic control or IPF lung tissue using RNAscope® RNA in situ hybridization. Scale bar, 20 μm. (D) The scatter plot for comparing the expression of CAB39L and SNAI2 (Snail2) in alveolar septae from non-fibrotic control and IPF lung tissue (Pearson coefficient r = −0.65; P = 0.002; n = 20). (E) The diagram showing that CAB39L down-regulation in IPF inactivates LKB1 complex, leading to autophagy inhibition-mediated EMT via the p62-NFκB-Snail2 pathway in ATII cells.

3D co-cultures of ATII cells and pulmonary fibroblasts suggest the involvement of paracrine signaling in augmenting myofibroblast differentiation

Our previous study reported that reduced autophagy activity contributed to fibrosis via aberrant epithelial-fibroblast crosstalk.3 To determine if it was also the case for LKB1-depletion in ATII cells, 2D cultures of ATII cells alone or 3D co-cultures with MRC5 lung fibroblasts (Fig. 5A) were established and then analyzed by RNA-seq. DEGs were defined by an FDR-adjusted P value (Padj) less than 0.05 and |Log2Fold Change| above 1 (Table S4).

Figure 5.

Figure 5

3D co-cultures of ATII cells and MRC5 coupled with RNA-seq suggest a role of paracrine signaling in augmenting myofibroblast differentiation. (A) A representative image showing a 3D co-culture spheroid of MRC5 lung fibroblasts (green) and ATII cells (red). Scale bar, 250 μm. (B) Heatmap and hierarchical cluster analysis of multiple collagen genes in 2D-cultured control or LKB1-depleted ATII cells and 3D co-cultures of MRC5 with control or LKB1-depleted ATII cells. The red indicates up-regulation and the blue down-regulation. n = 3 samples in each group. (C) The graph showing Gene Set Variation Analysis (GSVA) scores using a collagen signature in 2D-cultured control or LKB1-depleted ATII cells, and 3D co-cultures of MRC5 with control or LKB1-depleted ATII cells. The data were expressed as mean ± standard deviation. n = 3 samples in each group; ∗∗P < 0.01; ns, not significant. (D) Relative mRNA expression of STK11 (encoding LKB1), ACTA2 (encoding α-SMA), COL1A1, COL3A1, and FN1 in the spheroid samples from MRC5 co-cultured with control or LKB1-depleted ATII cells. ACTB (encoding β-actin)-normalized mRNA levels in ATII cells were used to set the baseline value at unity. The data were expressed as mean ± standard deviation. n = 3 samples in each group; ∗∗P < 0.01, ∗∗∗P < 0.001, ∗∗∗∗P < 0.0001. (E) Protein expression of α-SMA and phospho-Smad2 (p-Smad2) in MRC5 with indicated treatments. β-Tubulin was used as a loading control.

Our earlier reports3,5 by comparison of the relative expression of ECM components in ATII cells and fibroblasts highlight that ATII cells produce extremely low levels of ECM genes even after the induction of EMT, suggesting that ECM production in fibrosis is more likely to be a consequence of fibroblast activation than direct deposition by epithelial cells undergoing EMT. This is also true in this study. A comparison of collagen genes in 2D monocultures of control or LKB1-depleted ATII showed relatively low levels of collagen gene expression that were not significantly different (control ATII vs. LKB1-depleted ATII; Fig. 5B and Table S5), even though an EMT signature was clearly detectable in the LKB1 depleted cells (Figure 1, Figure 2). In contrast, when LKB1-depleted ATII cells were co-cultured with MRC5 fibroblasts, there was a marked up-regulation of a large number of collagen genes (control ATII + MRC5 vs. LKB1-depleted ATII + MRC5; Fig. 5B and Table S5). Quantification of the changes in collagen gene expression using gene set variation analysis (GSVA),24 identified a significant effect of LKB1 depletion in 3D co-cultures of ATII cells and MRC5 (Fig. 5C; P < 0.01), but not in 2D-cultured ATII cells (Fig. 5C; P > 0.05). This suggested collagen production in IPF lungs is unlikely to be a direct consequence of epithelial collagen gene expression due to EMT, but rather epithelial cells exhibiting an indirect effect on fibroblast differentiation via paracrine signaling, especially when undergoing EMT.3,5

To further explore the effect of paracrine signaling on fibroblast to myofibroblast transition, in 3D co-cultures we analyzed the expression of ACTA2 (α-SMA, a myofibroblast marker), confirming that LKB1 depletion in ATII cells caused increased expression and that this was associated with up-regulation in COL1A1, COL3A1, and FN1 (Fig. 5D; all P < 0.01). Finally, to confirm the paracrine influence of ATII cells on fibroblast differentiation, we treated MRC5 cells with conditioned media (CM) from ATII cells transfected with control or LKB1 siRNA without or with the addition of transforming growth factor-β (TGF-β), and assessed levels of α-SMA. CM from ATII cells transfected with LKB1 siRNA without TGF-β had a similar effect on α-SMA expression compared with TGF-β treatment alone (Fig. 5E). Furthermore, CM from LKB1-depleted ATII cells together with TGF-β achieved a strong synergistic effect on α-SMA protein levels (Fig. 5E). These data suggest that LKB1 depletion in ATII cells augments myofibroblast differentiation via paracrine signaling.

Discussion

IPF is a progressive interstitial lung disease with limited treatment options available.25 Although the underlying cause of IPF is not fully understood, repetitive micro-injuries to aged alveolar epithelium are proposed to trigger aberrant wound healing processes, initiating an accumulation of ECM deposited by myofibroblasts,26 which are critical in the pathogenesis of IPF, with increased fibroblast foci associated with worse prognosis.27 The origin of myofibroblasts in IPF is controversial and it was proposed that ATII cells undergoing EMT may be a source of myofibroblasts in fibrotic diseases. However, findings from our group suggest that ATII cells undergoing EMT induced by RAS activation5 or autophagy inhibition3 express only low levels of ECM genes. Our findings in this study support the concept that epithelial cells do not directly contribute to myofibroblast populations via EMT, instead, they are able to promote myofibroblast differentiation through paracrine signaling.7

LKB1 is an evolutionarily conserved serine/threonine protein kinase, which acts as an important regulator of cell polarity, proliferation, and cell metabolism in epithelial cells.28 Activation of LKB1 activation occurs via allosteric binding of LKB1 to STE20-related adapter (STRAD) and mouse protein 25 (MO25, encoded by CAB39 and CAB39L).29 Many of the best-known functions of LKB1 are attributable to its ability to activate AMPK, which is an important conserved regulator of cell growth and metabolism.30 It was reported recently that activation of AMPK in myofibroblasts from IPF lungs displays lower fibrotic activity. In a bleomycin mouse model of lung fibrosis, metformin accelerates the resolution of well-established fibrosis in an AMPK-dependent manner.21 This study supports a role for such an approach to reverse established fibrosis by facilitating the deactivation and apoptosis of myofibroblasts.21 In line with this, a recent study suggests that in patients with IPF and type 2 diabetes, metformin therapy may be associated with improved clinical outcomes. However, further investigation with randomized clinical trials is necessary prior to metformin's broad implementation in the clinical management of IPF.31

Han and colleagues reported that kidney-specific deletion of Lkb1 induces severe renal fibrosis.32 Similar to our findings, they found LKB1 (STK11) mRNA levels are not significantly altered in fibrotic kidney samples. Instead, the expression of the allosteric activator of LKB1, CAB39L, significantly decreases in kidney fibrosis,32 raising its potential role in the development of fibrotic disease. Coincidently, thymoquinone alleviates thioacetamide-induced hepatic fibrosis by activating the LKB1-AMPK signaling pathway in mice.33 Apart from AMPK, LKB1 also activates a family of 12 “AMPK-related kinases”, including BRSK1, BRSK2, NUAK1, NUAK2, QIK, QSK, SIK, MARK1, MARK2, MARK3, MARK4, and MELK.34 It was shown earlier that LKB1 suppresses EMT-transcriptional factor Snail135 and ZEB136 expression via MARK1/4 and miR-200a/c, respectively. In this study, we demonstrated that LKB1 depletion induces Snail2 expression via autophagy inhibition-p62-NFκB pathway in ATII cells, consistent with our previous reports.3,16

As a highly conserved process,37 autophagy has been associated with several human diseases, including pulmonary fibrosis (see our recent review38). It has been reported that LKB1 modulates autophagy activity via an AMPK-mTORC139,40 or AMPK-ULK1 (ATG1) axis.41 In ATII cells, upon LKB1 inhibition, autophagy activity is reduced, leading to EMT via the p62-NFκB pathway (Fig. 4E). This drives local myofibroblast differentiation via paracrine signaling.

In summary, this study provides novel insights into the role of epithelial LKB1 in pulmonary fibrosis, highlighting the potential therapeutic intervention by targeting this pathway in IPF.

Conflict of interests

YW is an editorial board member for Genes & Diseases and was not involved in the editorial review or the decision to publish this article. All authors declare that there are no competing interests.

Funding

This project was supported by the UK Medical Research Council (MR/S025480/1), the UK Academy of Medical Sciences/the Wellcome Trust Springboard Award (SBF002\1038), and AAIR Charity. ZX and LY were supported by China Scholarship Council. YZ was supported by an Institute for Life Sciences PhD Studentship. JD was supported by the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001070), the UK Medical Research Council (FC001070), and the Wellcome Trust (FC001070).

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files. The RNA-seq data have been deposited in the Gene Expression Omnibus (GEO) database (accession code GSE205970).

Acknowledgements

We thank Carine Fixmer, Maria Lane, Benjamin Johnson, and the nurses of the Southampton Biomedical Research Unit for their help in the collection of human samples, supported by the Wessex Clinical Research Network and the National Institute of Health Research, UK. The authors gratefully acknowledge the Imaging and Microscopy Centre at the Biological Sciences (The University of Southampton) for their support and assistance in this work. For the purpose of open access, the authors have applied a CC-BY public copyright license to any Author Accepted Manuscript version arising from this submission.

Footnotes

Peer review under responsibility of Chongqing Medical University.

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.gendis.2023.06.034.

Contributor Information

Mark G. Jones, Email: mark.jones@soton.ac.uk.

Yihua Wang, Email: yihua.wang@soton.ac.uk.

Appendix A. Supplementary data

The following are the Supplementary data to this article:

Multimedia component 1
mmc1.pdf (2MB, pdf)
Multimedia component 2
mmc2.xlsx (192KB, xlsx)
Multimedia component 3
mmc3.xlsx (491.7KB, xlsx)
Multimedia component 4
mmc4.xlsx (14.1KB, xlsx)
Multimedia component 5
mmc5.xlsx (304.3KB, xlsx)
Multimedia component 6
mmc6.xlsx (14.9KB, xlsx)

References

  • 1.Velagacherla V., Mehta C.H., Nayak Y., Nayak U.Y. Molecular pathways and role of epigenetics in idiopathic pulmonary fibrosis. Life Sci. 2022;291:120283. doi: 10.1016/j.lfs.2021.120283. [DOI] [PubMed] [Google Scholar]
  • 2.Raghu G., Selman M. Nintedanib and pirfenidone. New antifibrotic treatments indicated for idiopathic pulmonary fibrosis offer hopes and raises questions. Am J Respir Crit Care Med. 2015;191(3):252–254. doi: 10.1164/rccm.201411-2044ED. [DOI] [PubMed] [Google Scholar]
  • 3.Hill C., Li J., Liu D., et al. Autophagy inhibition-mediated epithelial-mesenchymal transition augments local myofibroblast differentiation in pulmonary fibrosis. Cell Death Dis. 2019;10:591. doi: 10.1038/s41419-019-1820-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Yao L., Zhou Y., Li J., et al. Bidirectional epithelial-mesenchymal crosstalk provides self-sustaining profibrotic signals in pulmonary fibrosis. J Biol Chem. 2021;297(3):101096. doi: 10.1016/j.jbc.2021.101096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yao L., Conforti F., Hill C., et al. Paracrine signalling during ZEB1-mediated epithelial-mesenchymal transition augments local myofibroblast differentiation in lung fibrosis. Cell Death Differ. 2019;26(5):943–957. doi: 10.1038/s41418-018-0175-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Jolly M.K., Celià-Terrassa T. Dynamics of phenotypic heterogeneity associated with EMT and stemness during cancer progression. J Clin Med. 2019;8(10):1542. doi: 10.3390/jcm8101542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hill C., Jones M.G., Davies D.E., Wang Y. Epithelial-mesenchymal transition contributes to pulmonary fibrosis via aberrant epithelial/fibroblastic cross-talk. J Lung Health Dis. 2019;3(2):31–35. [PMC free article] [PubMed] [Google Scholar]
  • 8.Martinez-Lopez N., Athonvarangkul D., Singh R. Autophagy and aging. Adv Exp Med Biol. 2015;847:73–87. doi: 10.1007/978-1-4939-2404-2_3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Araya J., Kojima J., Takasaka N., et al. Insufficient autophagy in idiopathic pulmonary fibrosis. Am J Physiol Lung Cell Mol Physiol. 2013;304(1):L56–L69. doi: 10.1152/ajplung.00213.2012. [DOI] [PubMed] [Google Scholar]
  • 10.Patel A.S., Lin L., Geyer A., et al. Autophagy in idiopathic pulmonary fibrosis. PLoS One. 2012;7(7) doi: 10.1371/journal.pone.0041394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Wang K., Zhang T., Lei Y., et al. Identification of ANXA2 (annexin A2) as a specific bleomycin target to induce pulmonary fibrosis by impeding TFEB-mediated autophagic flux. Autophagy. 2018;14(2):269–282. doi: 10.1080/15548627.2017.1409405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ricci A., Cherubini E., Scozzi D., et al. Decreased expression of autophagic beclin 1 protein in idiopathic pulmonary fibrosis fibroblasts. J Cell Physiol. 2013;228(7):1516–1524. doi: 10.1002/jcp.24307. [DOI] [PubMed] [Google Scholar]
  • 13.Cabrera S., Maciel M., Herrera I., et al. Essential role for the ATG4B protease and autophagy in bleomycin-induced pulmonary fibrosis. Autophagy. 2015;11(4):670–684. doi: 10.1080/15548627.2015.1034409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zhou Y., Hill C., Yao L., et al. Quantitative proteomic analysis in alveolar type II cells reveals the different capacities of RAS and TGF-β to induce epithelial–mesenchymal transition. Front Mol Biosci. 2021;8:595712. doi: 10.3389/fmolb.2021.595712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Brereton C.J., Yao L., Davies E.R., et al. Pseudohypoxic HIF pathway activation dysregulates collagen structure-function in human lung fibrosis. Elife. 2022;11 doi: 10.7554/eLife.69348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wang Y., Xiong H., Liu D., et al. Autophagy inhibition specifically promotes epithelial-mesenchymal transition and invasion in RAS-mutated cancer cells. Autophagy. 2019;15(5):886–899. doi: 10.1080/15548627.2019.1569912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang Y., Bu F., Royer C., et al. ASPP2 controls epithelial plasticity and inhibits metastasis through β-catenin-dependent regulation of ZEB1. Nat Cell Biol. 2014;16(11):1092–1104. doi: 10.1038/ncb3050. [DOI] [PubMed] [Google Scholar]
  • 18.Coelho M.A., de Carné Trécesson S., Rana S., et al. Oncogenic RAS signaling promotes tumor immunoresistance by stabilizing PD-L1 mRNA. Immunity. 2017;47(6):1083–1099.e6. doi: 10.1016/j.immuni.2017.11.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Molina-Arcas M., Hancock D.C., Sheridan C., Kumar M.S., Downward J. Coordinate direct input of both KRAS and IGF1 receptor to activation of PI3 kinase in KRAS-mutant lung cancer. Cancer Discov. 2013;3(5):548–563. doi: 10.1158/2159-8290.CD-12-0446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Raghu G., Remy-Jardin M., Myers J.L., et al. Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT clinical practice guideline. Am J Respir Crit Care Med. 2018;198(5):e44–e68. doi: 10.1164/rccm.201807-1255ST. [DOI] [PubMed] [Google Scholar]
  • 21.Rangarajan S., Bone N.B., Zmijewska A.A., et al. Metformin reverses established lung fibrosis in a bleomycin model. Nat Med. 2018;24(8):1121–1127. doi: 10.1038/s41591-018-0087-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Subramanian A., Tamayo P., Mootha V.K., et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–15550. doi: 10.1073/pnas.0506580102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zeqiraj E., Filippi B.M., Deak M., Alessi D.R., van Aalten D.M. Structure of the LKB1-STRAD-MO25 complex reveals an allosteric mechanism of kinase activation. Science. 2009;326(5960):1707–1711. doi: 10.1126/science.1178377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hänzelmann S., Castelo R., Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinf. 2013;14:7. doi: 10.1186/1471-2105-14-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Richeldi L., Collard H.R., Jones M.G. Idiopathic pulmonary fibrosis. Lancet. 2017;389(10082):1941–1952. doi: 10.1016/S0140-6736(17)30866-8. [DOI] [PubMed] [Google Scholar]
  • 26.Moss B.J., Ryter S.W., Rosas I.O. Pathogenic mechanisms underlying idiopathic pulmonary fibrosis. Annu Rev Pathol Mech Dis. 2022;17:515–546. doi: 10.1146/annurev-pathol-042320-030240. [DOI] [PubMed] [Google Scholar]
  • 27.King T.J.R., Schwarz M., Brown K., et al. Idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2001;164(6):1025–1032. doi: 10.1164/ajrccm.164.6.2001056. [DOI] [PubMed] [Google Scholar]
  • 28.Kullmann L., Krahn M.P. Controlling the master – upstream regulation of the tumor suppressor LKB1. Oncogene. 2018;37(23):3045–3057. doi: 10.1038/s41388-018-0145-z. [DOI] [PubMed] [Google Scholar]
  • 29.Momcilovic M., Shackelford D.B. Targeting LKB1 in cancer – exposing and exploiting vulnerabilities. Br J Cancer. 2015;113(4):574–584. doi: 10.1038/bjc.2015.261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mihaylova M.M., Shaw R.J. The AMPK signalling pathway coordinates cell growth, autophagy and metabolism. Nat Cell Biol. 2011;13(9):1016–1023. doi: 10.1038/ncb2329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Teague T.T., Payne S.R., Kelly B.T., et al. Evaluation for clinical benefit of metformin in patients with idiopathic pulmonary fibrosis and type 2 diabetes mellitus: a national claims-based cohort analysis. Respir Res. 2022;23(1):91. doi: 10.1186/s12931-022-02001-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Han S.H., Malaga-Dieguez L., Chinga F., et al. Deletion of Lkb1 in renal tubular epithelial cells leads to CKD by altering metabolism. J Am Soc Nephrol. 2016;27(2):439–453. doi: 10.1681/ASN.2014121181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bai T., Yang Y., Wu Y.L., et al. Thymoquinone alleviates thioacetamide-induced hepatic fibrosis and inflammation by activating LKB1-AMPK signaling pathway in mice. Int Immunopharmacol. 2014;19(2):351–357. doi: 10.1016/j.intimp.2014.02.006. [DOI] [PubMed] [Google Scholar]
  • 34.Lizcano J.M., Göransson O., Toth R., et al. LKB1 is a master kinase that activates 13 kinases of the AMPK subfamily, including MARK/PAR-1. EMBO J. 2004;23(4):833–843. doi: 10.1038/sj.emboj.7600110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Goodwin J.M., Svensson R.U., Lou H.J., Winslow M.M., Turk B.E., Shaw R.J. An AMPK-independent signaling pathway downstream of the LKB1 tumor suppressor controls Snail1 and metastatic potential. Mol Cell. 2014;55(3):436–450. doi: 10.1016/j.molcel.2014.06.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Roy B.C., Kohno T., Iwakawa R., et al. Involvement of LKB1 in epithelial-mesenchymal transition (EMT) of human lung cancer cells. Lung Cancer. 2010;70(2):136–145. doi: 10.1016/j.lungcan.2010.02.004. [DOI] [PubMed] [Google Scholar]
  • 37.Hill C., Wang Y. The importance of epithelial-mesenchymal transition and autophagy in cancer drug resistance. Cancer Drug Resist. 2020;3(1):38–47. doi: 10.20517/cdr.2019.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hill C., Wang Y. Autophagy in pulmonary fibrosis: friend or foe? Genes Dis. 2022;9(6):1594–1607. doi: 10.1016/j.gendis.2021.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gurumurthy S., Xie S.Z., Alagesan B., et al. The Lkb1 metabolic sensor maintains haematopoietic stem cell survival [published correction appears in Nature. 2011 Aug 4;476(7358):114] Nature. 2010;468(7324):659–663. doi: 10.1038/nature09572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Araya J., Nishimura S.L. Fibrogenic reactions in lung disease. Annu Rev Pathol Mech Dis. 2010;5:77–98. doi: 10.1146/annurev.pathol.4.110807.092217. [DOI] [PubMed] [Google Scholar]
  • 41.Sanchez-Garrido J., Shenoy A.R. Regulation and repurposing of nutrient sensing and autophagy in innate immunity. Autophagy. 2021;17(7):1571–1591. doi: 10.1080/15548627.2020.1783119. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Multimedia component 1
mmc1.pdf (2MB, pdf)
Multimedia component 2
mmc2.xlsx (192KB, xlsx)
Multimedia component 3
mmc3.xlsx (491.7KB, xlsx)
Multimedia component 4
mmc4.xlsx (14.1KB, xlsx)
Multimedia component 5
mmc5.xlsx (304.3KB, xlsx)
Multimedia component 6
mmc6.xlsx (14.9KB, xlsx)

Data Availability Statement

All data generated or analyzed during this study are included in the manuscript and supporting files. The RNA-seq data have been deposited in the Gene Expression Omnibus (GEO) database (accession code GSE205970).


Articles from Genes & Diseases are provided here courtesy of Chongqing Medical University

RESOURCES