Comprehensive evaluation and application of tissue clearing techniques for 3-D visualization of splenic neural and immune architecture.

Journal: American journal of physiology. Cell physiology
Published Date:

Abstract

As the largest secondary lymphoid organ, the spleen plays a crucial role in initiating and sustaining immune responses against blood-borne pathogens through antigen capture and delivery. It is innervated by both autonomic and sensory nerves, which allows for neural modulation of its immune responses. The intricate spatial structure and precise coordination between immune and neural components are essential for proper splenic function, necessitating three-dimensional (3-D) imaging to reveal its architecture. However, the dense fibrous capsule and exceptionally rich vasculature of the spleen pose significant challenges for achieving comprehensive 3-D visualization of the entire organ. Here, we systematically evaluated and compared five cutting-edge tissue clearing approaches-ImmuView, fast light-microscopic analysis of antibody-stained whole organs, small-micelle-mediated human organ efficient clearing and labeling (SHANEL), advanced clear, unobstructed brain imaging cocktails and computational analysis (advanced CUBIC), and clearing-enhanced 3-D microscopy-for their effectiveness in rendering the spleen transparent for multiplexed antibody staining and high-resolution 3-D imaging. Our results indicated that SHANEL provided the clearest visualization of essential splenic neural and immune components. Meanwhile, advanced CUBIC achieved the greatest labeling efficacy for immune cells, albeit with slightly reduced transparency. Importantly, our study marked the first application of these optimized protocols to human spleen tissue, successfully revealing the highly organized immune cell zones and neural networks with enhanced clarity. Notably, we identified the nociceptive sensory innervation within human spleen tissue for the first time. Collectively, these findings establish optimal imaging strategies for visualizing splenic immune cells and neural structure in both murine and human tissues, providing profound insights into the intricate neuroimmune interactions and their pivotal roles in the immune functions of the spleen. This study systematically assessed five tissue-clearing techniques and optimized the conditions of each protocol to overcome the challenges of splenic 3-D imaging posed by its dense structure and high pigmentation. The results demonstrated SHANEL and advanced CUBIC as the optimal methods for 3-D visualization of diverse splenic immune and neural architecture, with which we successfully mapped splenic neuroimmune landscape and identified nociceptive nerves within the human spleen for the first time.

Authors

  • Jianing Li
    Department of Chemistry, The University of Vermont, Burlington, VT 05403.
  • Letian He
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Wenling Wang
    College of Information and Communication Engineering, Hainan University, Haikou 570228, China.
  • Siyu Wang
    School of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610075, China. Electronic address: 919008390@qq.com.
  • Dan Zhang
    School of Pharmacy, Southwest Medical University, Luzhou 646000, China.
  • Liyun Liang
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Guangping Song
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Yijian Zhang
    Senior Department of Hematology, The Fifth Medical Center of PLA General Hospital, Beijing, People's Republic of China.
  • Shaoqing Yu
    Senior Department of Urology, The Third Medical Centre of PLA General Hospital, Beijing, People's Republic of China.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Qiuying Han
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Shaoyi Huang
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Sen Li
    Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian, China.
  • Haiqing Tu
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Zengqing Song
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Huaibin Hu
    Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, People's Republic of China.
  • Huiyan Li
    School of Automation and Electrical Engineering, Tianjin University of Technology and Educations, 300222, PR China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Min Wu
    Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.