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Transcriptome network analysis identifies protective role of the LXR/SREBP-1c axis in murine pulmonary fibrosis
Shigeyuki Shichino, Satoshi Ueha, Shinichi Hashimoto, Mikiya Otsuji, Jun Abe, Tatsuya Tsukui, Shungo Deshimaru, Takuya Nakajima, Mizuha Kosugi-Kanaya, Francis H.W. Shand, Yutaka Inagaki, Hitoshi Shimano, Kouji Matsushima
Shigeyuki Shichino, Satoshi Ueha, Shinichi Hashimoto, Mikiya Otsuji, Jun Abe, Tatsuya Tsukui, Shungo Deshimaru, Takuya Nakajima, Mizuha Kosugi-Kanaya, Francis H.W. Shand, Yutaka Inagaki, Hitoshi Shimano, Kouji Matsushima
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Research Article Inflammation Pulmonology

Transcriptome network analysis identifies protective role of the LXR/SREBP-1c axis in murine pulmonary fibrosis

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Abstract

Pulmonary fibrosis (PF) is an intractable disorder with a poor prognosis. Although lung fibroblasts play a central role in PF, the key regulatory molecules involved in this process remain unknown. To address this issue, we performed a time-course transcriptome analysis on lung fibroblasts of bleomycin- and silica-treated murine lungs. We found gene modules whose expression kinetics were associated with the progression of PF and human idiopathic PF (IPF). Upstream analysis of a transcriptome network helped in identifying 55 hub transcription factors that were highly connected with PF-associated gene modules. Of these hubs, the expression of Srebf1 decreased in line with progression of PF and human IPF, suggesting its suppressive role in fibroblast activation. Consistently, adoptive transfer and genetic modification studies revealed that the hub transcription factor SREBP-1c suppressed PF-associated gene expression changes in lung fibroblasts and PF pathology in vivo. Moreover, therapeutic pharmacological activation of LXR, an SREBP-1c activator, suppressed the Srebf1-dependent activation of fibroblasts and progression of PF. Thus, SREBP-1c acts as a protective hub of lung fibroblast activation in PF. Collectively, the findings of the current study may prove to be valuable in the development of effective therapeutic strategies for PF.

Authors

Shigeyuki Shichino, Satoshi Ueha, Shinichi Hashimoto, Mikiya Otsuji, Jun Abe, Tatsuya Tsukui, Shungo Deshimaru, Takuya Nakajima, Mizuha Kosugi-Kanaya, Francis H.W. Shand, Yutaka Inagaki, Hitoshi Shimano, Kouji Matsushima

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Figure 3

Transcriptome network analysis identifies hub transcription factors connected with fibrosis-associated gene modules in activated lung fibroblasts.

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Transcriptome network analysis identifies hub transcription factors conn...
(A) Reconstructed transcriptome network of activated lung fibroblasts in pulmonary fibrosis. Each node represents genes, colors of each node represent module groups, and gray lines represent individual interactions. Hub transcription factors (TFs) are highlighted in magenta. (B) Pattern of the connection (magenta) between hub TFs and gene modules. Hub TFs that were connected with module groups G2 or G5 are shown. (C) Functional classification of 55 hub TFs using DAVID 6.8. Significantly enriched Gene Ontology (GO) terms and hub TFs included in GO terms are shown on the right of the graph. (D) Srebf1-connected network. Red line represents hub TF-target interaction. Targeted genes are highlighted in yellow. (E) qPCR analysis of Srebf1 and Col1a1 expression in activated lung fibroblasts. Data are presented as the mean ± SEM of n = 5 (UT, day 0; BLM, days 7, 63; SiO2, day 63), n = 6 (SiO2, day 7), n = 7 (BLM, day 14; SiO2, day 14). A representative result of 2 independent experiments is shown. Statistical significance is indicated as follows: *P < 0.05, **P < 0.01, ***P < 0.001 (untreated vs. BLM group); †P < 0.05, ††P < 0.01, †††P < 0.001(untreated vs. SiO2 group) according to 2-way ANOVA followed by the post hoc Tukey-Kramer’s multiple comparison test. Effect size (d) (compared with untreated group) is shown on the bottom of the graph. (F) Expression of SREBF1 in human lung fibroblasts derived from healthy (n = 19) or idiopathic pulmonary fibrosis (IPF) lungs (n = 37) (GSE17978). ***P = 0.0003 (2-tailed unpaired Student’s t test, t statistic [t] = 3.866, degree of freedom [df] = 54). Effect size (d) is shown on the bottom of the graph. (G) Heatmap representation of Srebf1-connected genes. Each column represents group and time point, whereas each row represents an individual gene. TF, transcription factor; Col-GFP, Col1a2-GFP reporter; BLM, bleomycin model; SiO2, silica model; UT, untreated.

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