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    Home > Biochemistry News > Biotechnology News > The team of Professor Li Cong of our hospital builds a brain glioma surgical navigation system that locates the "metabolic boundary"

    The team of Professor Li Cong of our hospital builds a brain glioma surgical navigation system that locates the "metabolic boundary"

    • Last Update: 2022-01-23
    • Source: Internet
    • Author: User
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     Invasive growth of cancer cells in the brain makes it difficult to accurately locate the tumor boundary, which is the main reason for the high mortality and high recurrence rate of glioma
    .
    The acidification of extracellular fluid caused by high levels of glucolysis in cancer cells is a typical feature of almost all solid tumors

    .
    There is a spatiotemporal correlation between extra-tissue fluid acidification and the degree of malignancy

    .
    In addition, acidification of the microenvironment plays an important role in tumor cell stemness maintenance, phenotype screening, invasion, invasion, and immune evasion

    .
    Therefore, intraoperative visualization of tumor metabolic acidification boundary provides a new idea for complete resection of glioma

    .


    Recently, a joint research team of Professor Li Cong from the School of Pharmacy of Fudan University, Researcher Zhang Xiaoyong from the Institute of Brain-inspired Intelligence Science and Technology, Professor Yu Jinhua from the School of Information Science and Technology, and Professor Mao Ying from the Department of Neurosurgery of Huashan Hospital Affiliated Affiliated Research Team has constructed a new type of surface-enhanced Raman scattering based on surface-enhanced Raman scattering.
    Proof-of-Principle System for Glioma Surgical Navigation (SERS) Technology

    .
    The system consists of a self-developed pH-responsive SERS chip, a handheld Raman spectrometer and a Raman spectroscopy deep learning system

    .
    This work proposes a water droplet-assisted tissue sampling technique, which can nondestructively transfer metabolites on the surface of suspicious tissue from surgical sections to a SERS chip

    .
    A new principle of the reporter-induced surface-enhanced Raman resonance effect is also proposed

    .
    The rapid determination of pH value of micro-droplet samples is realized

    .
    The self-built deep learning model automatically analyzes the sample Raman spectrum and accurately and quickly determines the pH value of the sample

    .
    The intelligent SERS system navigation can measure pH at 64 tissue sites (approximately 1 cm2) within 6 minutes, and locate the "acidic metabolic boundary" by mapping the pH distribution of the tissue

    .
    Compared with clinical surgical navigation technology, the surgical navigation strategy based on the "acidified boundary" significantly improves the survival rate of rat glioma model and delays the rate of tumor recurrence

    .
    In addition, through the analysis of glioma tissue samples from five patients, a correlation between acidification and malignancy was also found, revealing the feasibility of clinical translation of the "metabolic boundary" surgical navigation strategy

    .

    Figure 1.
    Schematic diagram of the intelligent Raman surgical navigation system
    .
    The system consists of a self-developed SERS chip, a handheld Raman spectrometer and a deep learning model

    .
    A water droplet-assisted tissue sampling technique is proposed to non-destructively transfer metabolites from suspicious tissue regions to a SERS chip

    .
    The Raman spectrometer collects the Raman signal on the SERS chip and uses the deep learning model to determine the acidity of the sample and describe the pH distribution map of the surgical section

    .


    The work was published online in the journal Advanced Science under the title "Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis" (Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis)

    .
    Jin Ziyi, a doctoral student from the School of Pharmacy of Fudan University, Yue Qi, an attending physician of Huashan Hospital, Duan Wenjia, a doctoral student from the School of Pharmacy of Fudan University, and Sui An, a master student from the Department of Electronic Engineering of Fudan University are the co-first authors of the paper

    .
    Prof.
    Mao Ying from the Department of Neurosurgery of Huashan Hospital, Prof.
    Yu Jinhua from the Department of Electronic Engineering, Prof.
    Zhang Xiaoyong from the Institute of Brain-inspired Intelligence Science and Technology, and Prof.
    Li Cong from the School of Pharmacy of Fudan University are the co-corresponding authors of the paper

    .
    The surgical navigation system can quickly locate the glioma-infiltrating area during surgery and improve the surgical prognosis of glioma patients

    .
    In addition, this technology does not require the injection of exogenous probes, which is expected to speed up clinical translation applications

    .
    This work has been supported by the National Key R&D Program, the National Fund for Distinguished Young Scholars of the National Natural Science Foundation of China, the Shanghai Municipal Science and Technology Major Project for the Basic Transformation and Application of Brain and Brain-like Intelligence, the Shanghai Science and Technology Commission and the Fudan University "Double First-Class" Project.
    support

    .


    Original link:
    https://onlinelibrary.
    wiley.
    com/doi/10.
    1002/advs.
    202104935

      

    Introduction of Li Cong's research group

    The research group of Professor
    Li Cong from the Center for Radiopharmacy and Molecular Imaging of Fudan University
    focuses on the visualization and regulation of the immune microenvironment of brain diseases, radiological diagnosis and treatment drugs, and surgical navigation instruments based on molecular information .
    The research group has successively undertaken more than 10 scientific research projects such as the National Fund for Distinguished Young Scholars, the National Key R&D Program -Inter-Governmental International Cooperation Project, the National Natural Major Research Program Integration Project, and General Projects ; In the past 5 years, he has published more than 20 SCI papers in academic journals such as N at Biomed Eng, Angew Chem, Adv Mater, and Adv Sci ; applied for 10 Chinese patents ( 6 authorized) .
    Professor Li Cong is currently a member of the Standing Committee and Deputy Secretary-General of the Biophotonics Committee of the Chinese Society of Biomedical Engineering, a member of the Standing Committee of the Molecular Imaging Committee of the Chinese Biophysical Society, a member of the Standing Committee of the Nanomedicine Committee of the Chinese Anti-Cancer Society, and the Fund Committee Fundamental Res Journal editorial board , etc.







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