SOSaki Ogawa

Saki Ogawa

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Saki Ogawa has a total of 34 co-authors. Here are the top co-authors by number of shared publications:

  • Kotaro Tanimoto

    Department of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553, Japan

    4 shared publications
  • Kenta Uchibe

    Department of Maxillofacial Anatomy and Neuroscience, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan

    3 shared publications
  • Atsuko Hamada

    Department of Oral Oncology, Graduate School of Biomedical & Health Sciences, Hiroshima University , Hiroshima 734-8553

    2 shared publications
  • Chisa Shukunami

    Department of Molecular Biology and Biochemistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

    2 shared publications
  • Denitsa Docheva

    Lehrstuhl für Regeneration Muskuloskelettaler Gewebe und Lehrstuhl für Orthopädie, Orthopädische Klinik König‐Ludwig‐Haus, Universität Würzburg Würzburg Deutschland

    2 shared publications
  • Gen Kondoh

    Laboratory of Integrative Biological Science, Institute for Life and Medical Sciences, Kyoto University , Kyoto 606-8507

    2 shared publications

Latest Publications

  • Sost deficiency restores calvarial bone thickness without recovery of sutural growth in Runx2 missense mutant mice

    by Shun Ogata, Shota Ito, Ryo Kunimatsu, Saki Ogawa, Kenta Uchibe, Chisa Shukunami, Kotaro Tanimoto

  • Functional impact of pathogenic mutations in the runt homology domain of mouse Runx2 on skeletal and dental phenotypes in cleidocranial dysplasia

    by Saki Ogawa, Shinnosuke Higuchi, Yuki Yoshimoto, Mari Hoshino, Shigenori Miura, Atsuko Hamada, Hitomi Watanabe, Tetsushi Sakuma, Kadi Hu, Shun Ogata, et al.

    Runt-related transcription factor 2 (RUNX2) is essential for skeletogenesis, and mutations in its gene cause cleidocranial dysplasia (CCD), an autosomal dominant skeletal disorder. The evolutionarily conserved 128-amino acid Runt homology domain (RHD) of human RUNX2 is essential for DNA binding and heterodimerization, and serves as a mutation hotspot associated with severe CCD phenotypes. To elucidate the functional impact of pathogenic RHD mutations in vivo, we generated 2 novel mouse lines: one carrying a missense mutation, c.695G>A, p.Arg232Gln (p.R232Q), corresponding to the human RUNX2 c.674G>A, p.Arg225Gln (p.R225Q), and the other harboring a frameshift mutation, c.697_698delGA, p.Glu233Thrfs*9 (p.E233Tfs*9), causing a premature stop codon. Homozygous Runx2R232Q/R232Q and Runx2E233Tfs*9/E233Tfs*9 mice lacked membranous ossification, whereas heterozygous Runx2R232Q/+ and Runx2E233Tfs*9/+ mice displayed typical CCD-like skeletal features, including an open anterior fontanelle and clavicle hypoplasia. Unexpectedly, heterozygotes carrying pathogenic RHD mutations developed small root-like protrusions, mostly 1 but rarely 2, at the pulp chamber floor of 3-rooted maxillary first molars during furcation, revealing a previously unrecognized dental phenotype. Dual luciferase assays showed that p.R232Q almost completely lost transactivation of the osteocalcin enhancer/promoter. Immunostaining showed that wild-type Runx2 was robustly expressed in osteoblasts and hypertrophic chondrocytes during bone formation, while the p.R232Q mutant Runx2 in Runx2R232Q/R232Q mice exhibited reduced expression in hypertrophic chondrocytes and partially impaired nuclear localization. These abnormalities led to defective osteoblast differentiation and chondrocyte maturation. Thus, our mutant mouse model provides a valuable in vivo platform to study CCD pathogenesis, mechanisms of tooth root furcation, and therapeutic interventions targeting dysfunctional RHD.


  • Open Access

    Age Estimation from Lateral Cephalograms Using Deep Learning: A Pilot Study from Early Childhood to Older Adults

    by Ryohei Tokinaga, Yuichi Mine, Yuki Yoshimi, Shota Okazaki, Shota Ito, Saori Takeda, Saki Ogawa, Tzu-Yu Peng, Naoya Kakimoto, Kotaro Tanimoto, et al.

    Background/Objectives: The purpose of this study is twofold: first, to construct and evaluate a deep-learning model for automated age estimation from lateral cephalograms spanning early childhood to older adulthood; and second, to determine whether sex-specific training improves predictive accuracy. Methods: This retrospective study examined 600 lateral cephalograms (ages 4–63 years; 300 female, 300 male). The images were randomly divided into five cross-validation folds, stratified by sex and age. An ImageNet-pretrained DenseNet-121 was employed for age regression. Three networks were trained: mixed-sex, female-only, and male-only. Performance was evaluated using mean absolute error (MAE) and the coefficient of determination (R2). Grad-CAM heatmaps quantified the contributions of six craniofacial regions. Duplicate patients were excluded to minimize sampling bias. Results: The mixed-sex model achieved an MAE of 2.50 ± 0.27 years, an R2 of 0.84 ± 0.04, the female-only model achieved an MAE of 3.04 ± 0.37 years and an R2 of 0.82 ± 0.04, and the male-only model achieved an MAE of 2.29 ± 0.27 years and an R2 of 0.83 ± 0.04. Grad-CAM revealed dominant activations over the frontal bone in the mixed-sex model; the occipital bone and cervical soft tissue in the female model; and the parietal bone in the male model. Conclusions: A DenseNet-121-based analysis of lateral cephalograms can provide a clinically relevant age estimation with an error margin of approximately ±2.5 years. Using male-only model slightly improves performance metrics, and careful attention to training data distribution is crucial for broad applicability. Our findings suggest a potential contribution to forensic age estimation, growth and development research, and support for unidentified deceased individuals when dental records are unavailable.


  • Open Access

    Functional impact of pathogenic Runt domain mutations in Runx2 on skeletal and dental development in cleidocranial dysplasia

    by Saki Ogawa, Shinnosuke Higuchi, Yuki Yoshimoto, Mari Hoshino, Shigenori Miura, Atsuko Hamada, Hitomi Watanabe, Tetsushi Sakuma, Kadi Hu, Shun Ogata, et al.

    Runt-related transcription factor 2 (RUNX2) is essential for skeletogenesis, and mutations in its gene cause cleidocranial dysplasia (CCD), an autosomal dominant skeletal disorder. The evolutionarily conserved 128-amino acid Runt homology domain (RHD) of human RUNX2 is essential for DNA binding and heterodimerization, and serves as a mutation hotspot associated with severe CCD phenotypes. To elucidate the functional impact of pathogenic RHD mutations in vivo , we generated two novel mouse lines: one carrying a missense mutation, c.695G>A (p.R232Q) ( Runx2 m/+ ), corresponding to the human RUNX2 c.674G>A (p.R225Q), and the other harboring a frameshift mutation, c.697_698delGA (p.E233TfsTer9) ( Runx2 112/+ ), causing a premature stop codon. Homozygous Runx2 m/m and Runx2 112/112 mice lacked membranous ossification, whereas heterozygous Runx2 m/+ and Runx2 112/+ mice displayed typical CCD-like skeletal features, including an open anterior fontanelle and clavicle hypoplasia. Unexpectedly, heterozygotes carrying pathogenic mutations in RHD developed an accessory root-like protrusion at the furcation of three-rooted maxillary first molars, representing a previously unrecognized dental phenotype during root development. Dual luciferase assays revealed impaired transactivation of the p.R232Q mutant Runx2 on the osteocalcin enhancer/promoter. Wild-type Runx2 was robustly expressed in osteoblasts and hypertrophic chondrocytes during bone formation, but the mutant Runx2 exhibited reduced expression in hypertrophic chondrocytes and partially impaired nuclear localization, resulting in arrested osteoblast and chondrocyte maturation. Our mutant mouse model provides a valuable in vivo platform to study CCD pathogenesis, mechanisms of tooth root furcation, and therapeutic interventions targeting dysfunctional RHD.