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Dynamic transcriptome analysis of osteal macrophages identifies a distinct subset with senescence features in experimental osteoporosis
Yoshio Nishida, M. Alaa Terkawi, Gen Matsumae, Shunichi Yokota, Taiki Tokuhiro, Yuki Ogawa, Hotaka Ishizu, Junki Shiota, Tsutomu Endo, Hend Alhasan, Taku Ebata, Keita Kitahara, Tomohiro Shimizu, Daisuke Takahashi, Masahiko Takahata, Ken Kadoya, Norimasa Iwasaki
Yoshio Nishida, M. Alaa Terkawi, Gen Matsumae, Shunichi Yokota, Taiki Tokuhiro, Yuki Ogawa, Hotaka Ishizu, Junki Shiota, Tsutomu Endo, Hend Alhasan, Taku Ebata, Keita Kitahara, Tomohiro Shimizu, Daisuke Takahashi, Masahiko Takahata, Ken Kadoya, Norimasa Iwasaki
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Research Article Aging Immunology

Dynamic transcriptome analysis of osteal macrophages identifies a distinct subset with senescence features in experimental osteoporosis

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Abstract

Given the potential fundamental function of osteal macrophages in bone pathophysiology, we study here their precise function in experimental osteoporosis. Gene profiling of osteal macrophages from ovariectomized mice demonstrated the upregulation of genes that were involved in oxidative stress, cell senescence, and apoptotic process. A single-cell RNA-Seq analysis revealed that osteal macrophages were heterogeneously clustered into 6 subsets that expressed proliferative, inflammatory, antiinflammatory, and efferocytosis gene signatures. Importantly, postmenopausal mice exhibited an increase in subset 3 that showed a typical gene signature of cell senescence and inflammation. These findings suggest that the decreased production of estrogen due to postmenopausal condition altered the osteal macrophage subsets, resulting in a shift toward cell senescence and inflammatory conditions in the bone microenvironment. Furthermore, adoptive macrophage transfer onto calvarial bone was performed, and mice that received oxidatively stressed macrophages exhibited greater osteolytic lesions than control macrophages, suggesting the role of these cells in the development of inflammaging in the bone microenvironment. Consistently, depletion of senescent cells and the oxidatively stressed macrophage subset alleviated the excessive bone loss in postmenopausal mice. Our data provided insight into the pathogenesis of osteoporosis and shed light on a therapeutic approach for the treatment or prevention of postmenopausal osteoporosis.

Authors

Yoshio Nishida, M. Alaa Terkawi, Gen Matsumae, Shunichi Yokota, Taiki Tokuhiro, Yuki Ogawa, Hotaka Ishizu, Junki Shiota, Tsutomu Endo, Hend Alhasan, Taku Ebata, Keita Kitahara, Tomohiro Shimizu, Daisuke Takahashi, Masahiko Takahata, Ken Kadoya, Norimasa Iwasaki

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Figure 6

Beneficial effects of using glutaminase inhibitor for elimination of senescent cells in postmenopausal osteoporosis.

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Beneficial effects of using glutaminase inhibitor for elimination of sen...
(A) Representative micro-CT images of femoral bones in OVX mice. (B) Bone parameters including BV/TV, BS/TV, vBMD, Tb.N, and Tb.Sp of femoral bones. (C) TRAP-stained sections of femoral bone. The bottom shows TRAP-stained sections of primary and secondary spongiosa. Scale bars are 100 μm. (D) Quantification of osteoclasts’ number and sizes on the surface of femoral bone. Results represent means of 7 samples ± SEM. Significant difference was determined by the 1-way ANOVA, followed by Tukey’s multiple-comparison procedure. * = P < 0.05; ** = P < 0.01; *** = P < 0.001; **** = P < 0.0001. (E) GIC968 treatment reduced the number of senescent bone lining cells (positive cells for p-P53 and p-P21). Scale bars are 100 μm. Arrows indicate positive singlets of the targets. Right panels show quantification of positively stained cells. (F) Comparison of percentage of β-gal–positive macrophages after exposure to H2O2 and treatment with GIC968. (G and H) Western blot analysis of senescence markers in macrophages after exposure to H2O2 and treatment with GIC968. The right panels show the quantification of band density for each marker as assessed by Western blotting. Bars are the mean of 3 samples ± SEM. The significant difference was determined by the 1-way ANOVA followed by Tukey’s multiple-comparison procedure. N.Oc/B.Pm, osteoclast number per bone perimeter; Oc.Pm/B.Pm, osteoclast perimeter per bone perimeter.

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