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Single-cell transcriptomics of human cholesteatoma identifies an activin A-producing osteoclastogenic fibroblast subset inducing bone destruction

Shimizu, Kotaro 大阪大学

2023.08.03

概要

Title

Single-cell transcriptomics of human
cholesteatoma identifies an activin A-producing
osteoclastogenic fibroblast subset inducing bone
destruction

Author(s)

Shimizu, Kotaro; Kikuta, Junichi; Ohta, Yumi et
al.

Citation

Nature Communications. 2023, 14(1), p. 4417

Version Type VoR
URL
rights

https://hdl.handle.net/11094/93150
This article is licensed under a Creative
Commons Attribution 4.0 International License.

Note

Osaka University Knowledge Archive : OUKA
https://ir.library.osaka-u.ac.jp/
Osaka University

Article

https://doi.org/10.1038/s41467-023-40094-3

Single-cell transcriptomics of human
cholesteatoma identifies an activin
A-producing osteoclastogenic fibroblast
subset inducing bone destruction
Received: 20 November 2022

1234567890():,;

1234567890():,;

Accepted: 12 July 2023

Check for updates

Kotaro Shimizu 1,2,3, Junichi Kikuta 1,2,4 , Yumi Ohta3, Yutaka Uchida
Yu Miyamoto1,2, Akito Morimoto1,2, Shinya Yari 1,2, Takashi Sato3,
Takefumi Kamakura3, Kazuo Oshima3, Ryusuke Imai3, Yu-Chen Liu 5,6,
Daisuke Okuzaki 5,6, Tetsuya Hara7, Daisuke Motooka5,6, Noriaki Emoto
Hidenori Inohara3 & Masaru Ishii 1,2,4

1,2

,

7

,

Cholesteatoma, which potentially results from tympanic membrane retraction, is characterized by intractable local bone erosion and subsequent hearing
loss and brain abscess formation. However, the pathophysiological mechanisms underlying bone destruction remain elusive. Here, we performed a singlecell RNA sequencing analysis on human cholesteatoma samples and identify a
pathogenic fibroblast subset characterized by abundant expression of inhibin
βA. We demonstrate that activin A, a homodimer of inhibin βA, promotes
osteoclast differentiation. Furthermore, the deletion of inhibin βA /activin A in
these fibroblasts results in decreased osteoclast differentiation in a murine
model of cholesteatoma. Moreover, follistatin, an antagonist of activin A,
reduces osteoclastogenesis and resultant bone erosion in cholesteatoma.
Collectively, these findings indicate that unique activin A-producing fibroblasts present in human cholesteatoma tissues are accountable for bone
destruction via the induction of local osteoclastogenesis, suggesting a
potential therapeutic target.

Cholesteatoma is a type of chronic middle ear inflammation that
expands with bone erosion, destroying temporal bone structures and
causing symptoms such as hearing loss, dizziness, facial paralysis, and
meningitis1. Furthermore, cholesteatoma constitutes an epidermal
cyst that arises from the epithelial layer of the tympanic membrane
and is composed of three layers: matrix, composed of the keratinized

stratified squamous epithelium; perimatrix, the surrounding layer of
the matrix that contacts temporal bone and contains collagen fibers,
fibroblasts, and endothelial cells; and cystic components that form the
most internal layer, containing keratin debris and necrotic tissue shed
from the matrix2. Multiple mechanisms have been proposed to explain
bone erosion in cholesteatoma, including osteoclast activation3,4, acid

1

Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan. 2WPIImmunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan. 3Department of Otorhinolaryngology-Head and Neck Surgery,
Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan. 4Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Ibaraki, Osaka 567-0085, Japan. 5Genome Information Research Center, Research Institute for Microbial Diseases,
Osaka University, Suita, Osaka 565-0871, Japan. 6Laboratory of Human Immunology (Single Cell Genomics), WPI-Immunology Frontier Research Center,
Osaka University, Suita, Osaka 565-0871, Japan. 7Laboratory of Clinical Pharmaceutical Science, Kobe Pharmaceutical University, Higashinada, Kobe 658e-mail: jkikuta@icb.med.osaka-u.ac.jp; mishii@icb.med.osaka-u.ac.jp
8558, Japan.

Nature Communications | (2023)14:4417

1

Article
lysis5, pressure necrosis3,6, inflammatory mediators7–9, enzymatic
mediators10,11, and combinations of ≥2 of these mechanisms. Nevertheless, the mechanism that underlies local bone destruction in cholesteatoma has not been elucidated. The only effective treatment at
present is complete surgical excision, but the rate of postoperative
recurrence remains unsatisfactory12.
A previous study showed that numerous osteoclasts were
observed on the eroded bone surfaces adjacent to cholesteatomas,
compared to unaffected areas, and that fibroblasts in the cholesteatoma perimatrix express receptor activator of NF-κB ligand (RANKL), a
protein essential for osteoclast differentiation and function4,13.
Because multiple subtypes of fibroblasts have been reported in other
inflammatory diseases, such as rheumatoid arthritis14, it is possible that
cholesteatoma also contains several subtypes of fibroblasts. However,
previous studies have not provided an overview of cell types and
subsets present in cholesteatoma. Here, we performed single-cell RNA
sequencing (scRNA-seq) analysis of human cholesteatoma specimens
to clarify the contributions of these cells to bone destruction in cholesteatoma. The results showed that cholesteatoma perimatrix fibroblasts express high levels of activin A, a secreted protein that acts in
cooperation with RANKL to induce mature osteoclast formation. We
conducted a detailed assessment of the relationship between activin A

Fig. 1 | scRNA-seq analysis of human cholesteatoma and skin specimens.
a Representative gating strategies used in cholesteatoma and skin samples. Live
(calcein+ AAD−) CD45− cells. Scale bars: 5 mm. b UMAP plot of scRNA-seq data from
19,273 cells labeled by sample condition. Samples were obtained from three pairs

Nature Communications | (2023)14:4417

https://doi.org/10.1038/s41467-023-40094-3

and bone erosion in cholesteatoma, and the results showed that activin
A is a potential therapeutic target for cholesteatoma.

Results
Single-cell RNA sequencing analysis identified a cholesteatomaspecific pathogenic fibroblast subset
To elucidate the mechanism underlying bone erosion in cholesteatoma, we performed scRNA-seq analysis using human cholesteatoma
tissues surgically resected from patients. As there are no “normal”
tissues in the middle ear that correspond to cholesteatoma, retroauricular skin at the incision site was used as a control for cholesteatoma. Previously, we reported the involvement of fibroblasts in bone
erosion in cholesteatoma mediated via RANKL signaling4; therefore,
we focused on pathogenic nonimmune cells, such as fibroblasts or
keratinocytes, in the present study. Both cholesteatoma and control
skin specimens were enzymatically digested and sorted into CD45– live
cell populations (Fig. 1a). Then, we applied scRNA-seq to the collected
cells and analyzed the data sets. We first carried out quality control to
exclude poor-quality data; we obtained a reliable data set consisting of
8357 cells from the cholesteatoma samples and 10,916 cells from the
control skin samples obtained from three patients. Next, we performed clustering analysis and visualized the results in uniform

of cholesteatoma and control skin samples labeled according to sample condition.
c UMAP plot of scRNA-seq data labeled according to cell type identified in PanglaoDB. The main cell types were keratinocytes, fibroblasts, and endothelial cells.

2

Article

https://doi.org/10.1038/s41467-023-40094-3

Fig. 2 | Identification of cholesteatoma fibroblasts and INHBA upregulation in
cholesteatoma fibroblasts. a The proportions of sample conditions in each cluster
identified by scRNA-seq. The proportion of cholesteatoma varied among clusters.
Clusters consisting of cholesteatoma alone were considered cholesteatomaspecific clusters. b Proportion of patients in each cluster identified by scRNA-seq.

The proportion of patients varied among clusters. Clusters consisting of one
patient were considered clusters with large sample biases. c Genes upregulated in
cholesteatoma fibroblasts compared to control fibroblasts. Genes with top 10 zscores are shown in order of fold change. d INHBA upregulation in cholesteatoma
fibroblast clusters.

manifold approximation and projection (UMAP). As shown in Fig. 1b,
both cholesteatoma and control dermal cells showed several clusters
(blue: cholesteatoma; orange: control skin; Supplementary Fig. S1
shows color coding by the patient). Our clustering method classified
the samples into 17 clusters, and we annotated the cell types based on
marker gene expression (Fig. 1c). We proposed that the data sets
consisted of 11 distinct cell types, including keratinocytes, fibroblasts,
endothelial cells, and osteoclasts (Fig. 1c; Supplementary Figs. S2 and
S3). Because keratinocytes, fibroblasts, and endothelial cells were
major populations in the data sets, subsequent analysis focused on
these cells.
To identify cholesteatoma-specific keratinocytes, fibroblasts,
and endothelial cell clusters, we evaluated the proportions of
cholesteatoma-derived cells and normal dermal cells in each cluster.
The keratinocytes in cluster 1 and fibroblasts in cluster 5 were strongly
biased toward the cholesteatoma samples, whereas other clusters,
including endothelial cell clusters 0 and 7, were unbiased (Fig. 2a). We
also examined bias between patients in keratinocyte cluster 1 and
fibroblast cluster 5. The cell proportion in fibroblast cluster 5 was
unbiased toward any particular patient, whereas keratinocyte cluster 1
was strongly biased toward patient 1 (Fig. 2b). We also confirmed that
cluster 5 in fibroblasts had higher condition specificity and lower
sample bias (Supplementary Fig. S4a–c). Taken together, our data
suggest that cluster 5 represented a cholesteatoma-specific pathogenic fibroblast subset. ...

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参考文献

Data were analyzed using GraphPad Prism ver. 6 (GraphPad Software,

San Diego, CA, USA). Data are presented as the mean ± SD unless

otherwise stated. Statistical analyses were performed using the twotailed Student’s t-test for in vitro and in vivo analyses, ratio paired t-test

for comparison of human specimens between two groups, and oneway ANOVA with Tukey’s post hoc multiple comparison test for

comparisons among three or more groups. In all analyses, P < 0.05 was

taken to indicate statistical significance. Statistical significance in

marker genes reflecting pseudotime trajectory was determined using

the Moran’s I test. The enrichment analysis in subcluster 8 was conducted through gprofiler59 integrated with scanpy v1.9, as well as

DAVID60 (accessed on 7/8, 2021). The data shown are representative of

at least three independent experiments unless otherwise indicated. We

estimated the sample size considering the variation and mean of

the sample and attempted to reach a conclusion using as small sample

size as possible. Sex- and age-matched mice were randomly assigned

to groups for in vivo experiments, and no data points were excluded.

Investigators were not blinded during the experiments or outcome

assessment.

1.

Statistics and reproducibility

We did not employ any statistical method to predetermine the sample

size. Sample sizes were estimated based on considering variation and

means, aiming to achieve reliable conclusions with the smallest possible number of samples. We considered previously published results,

experimental complexity, cost, and past experience to determine

sample size. No data were excluded from our analysis.

Sex was not considered in the study design due to insufficient

sample size to analyze sex differences. This study involves cholesteatoma samples and retroauricular skin from the incision site of cholesteatoma patients. All fifteen cholesteatoma and skin specimens

were gathered from patients undergoing tympanomastoidectomy.

Patients were not compensated for their participation.

Nature Communications | (2023)14:4417

Reporting summary

Further information on research design is available in the Nature

Portfolio Reporting Summary linked to this article.

Code availability

All source code has been made publicly available via Zenodo61.

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Acknowledgements

We would like to thank Drs. Erika Yamashita, Tetsuo Hasegawa, and Seiji

Taniguchi for their useful discussions and Mrs. Ayumi Sakai and Maki

Kawasaki for their technical assistance. This work was supported by

CREST (to M.I.), Japan Science and Technology (JST) Agency; Grant-inAid for Scientific Research (to M.I., J.K., and K.O.), Grant-in-Aid for

Transformative Research Areas (to J.K.), and Grant-in-Aid for Young

Scientists and Research Activity Start-up (to K.S.) from the Japan Society

for the Promotion of Science (JSPS) Grant Numbers 19H01044,

19H05657, 19K09844, 22H05083, 19K23826, 20K18312, and 21H02716;

funding from PRIME, Japan Agency for Medical Research and Development (to J.K.); grants from the Uehara Memorial Foundation (to M.I.), the

Kanae Foundation for the Promotion of Medical Sciences (to M.I.), the

Mochida Memorial Foundation (to M.I.), and the Takeda Science Foundation (to M.I. and J.K.). Illustrations in Figs. 4c and 5 were created with

BioRender.com.

https://doi.org/10.1038/s41467-023-40094-3

performed the in vitro and in vivo experiments with the assistance of J.K.

and R.I. Y.O. performed the surgery for collection of human samples

with T.S., T.K., and K.O. N.E. generated the INHBAfl/fl mouse line with

T.H. K.S. wrote the initial draft. J.K. and M.I. revised the final draft.

Competing interests

The authors declare no competing interests.

Additional information

Supplementary information The online version contains

supplementary material available at

https://doi.org/10.1038/s41467-023-40094-3.

Correspondence and requests for materials should be addressed to

Junichi Kikuta or Masaru Ishii.

Peer review information Nature Communications thanks Christopher

Buckley, Holger Sudhoff, and Kevin Wei for their contribution to the peer

review of this work. A peer review file is available.

Reprints and permissions information is available at

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K.S., H.I., and M.I. conceived the study. K.S. performed RNA-seq analysis

with the assistance of Y.L., D.O., and D.M. K.S., Y.U., A.M., Y.M., and S.Y.

© The Author(s) 2023

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