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Beyond 2D: A scalable and highly sensitive method for a comprehensive 3D analysis of kidney biopsy tissue.
Yamada, Hiroyuki; Makino, Shin-Ichi; Okunaga, Issei; Miyake, Takafumi; Yamamoto-Nonaka, Kanae; Oliva Trejo, Juan Alejandro; Tominaga, Takahiro; Empitu, Maulana A; Kadariswantiningsih, Ika N; Kerever, Aurelien; Komiya, Akira; Ichikawa, Tomohiko; Arikawa-Hirasawa, Eri; Yanagita, Motoko; Asanuma, Katsuhiko.
Afiliação
  • Yamada H; Department of Nephrology, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan.
  • Makino SI; The Laboratory for Kidney Research (TMK Project), Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8397, Japan.
  • Okunaga I; Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
  • Miyake T; Department of Primary Care and Emergency, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
  • Yamamoto-Nonaka K; Department of Nephrology, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan.
  • Oliva Trejo JA; The Laboratory for Kidney Research (TMK Project), Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8397, Japan.
  • Tominaga T; Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
  • Empitu MA; Department of Nephrology, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan.
  • Kadariswantiningsih IN; The Laboratory for Kidney Research (TMK Project), Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8397, Japan.
  • Kerever A; Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
  • Komiya A; The Laboratory for Kidney Research (TMK Project), Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8397, Japan.
  • Ichikawa T; Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
  • Arikawa-Hirasawa E; The Laboratory for Kidney Research (TMK Project), Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8397, Japan.
  • Yanagita M; Department of Nephrology, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan.
  • Asanuma K; Department of Nephrology, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan.
PNAS Nexus ; 3(1): pgad433, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38193136
ABSTRACT
The spatial organization of various cell populations is critical for the major physiological and pathological processes in the kidneys. Most evaluation of these processes typically comes from a conventional 2D tissue cross-section, visualizing a limited amount of cell organization. Therefore, the 2D analysis of kidney biopsy introduces selection bias. The 2D analysis potentially omits key pathological findings outside a 1- to 10-µm thin-sectioned area and lacks information on tissue organization, especially in a particular irregular structure such as crescentic glomeruli. In this study, we introduce an easy-to-use and scalable method for obtaining high-quality images of molecules of interest in a large tissue volume, enabling a comprehensive evaluation of the 3D organization and cellular composition of kidney tissue, especially the glomerular structure. We show that CUBIC and ScaleS clearing protocols could allow a 3D analysis of the kidney tissues in human and animal models of kidney disease. We also demonstrate that the paraffin-embedded human biopsy specimens previously examined via 2D evaluation could be applicable to 3D analysis, showing a potential utilization of this method in kidney biopsy tissue collected in the past. In summary, the 3D analysis of kidney biopsy provides a more comprehensive analysis and a minimized selection bias than 2D tissue analysis. Additionally, this method enables a quantitative evaluation of particular kidney structures and their surrounding tissues, with the potential utilization from basic science investigation to applied diagnostics in nephrology.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article