“Weibing”is a fundamental concept in traditional Chinese medicine(TCM),representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction.This p...“Weibing”is a fundamental concept in traditional Chinese medicine(TCM),representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction.This perspective delves into the biological foundations and quantifiable markers of Weibing,aiming to establish a research framework for early disease intervention.Here,we propose the“Health Quadrant Classification”system,which divides the state of human body into health,sub-health,disease-susceptible state,and disease.We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions.To understand the intrinsic dynamics of this state,we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models.At the molecular level,bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression.Furthermore,we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease.This approach resonates with TCM’s preventive philosophy,emphasizing proactive health maintenance and disease prevention.Ultimately,our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.展开更多
Mitochondrial damage,characterized by altered morphological distribution and the damage of cristae,is closely associated with mitochondrial disease.However,imaging methods for capturing mitochondrial morphology at the...Mitochondrial damage,characterized by altered morphological distribution and the damage of cristae,is closely associated with mitochondrial disease.However,imaging methods for capturing mitochondrial morphology at the nanoscale level in live samples remain unavailable,which seriously hinders the accurate evaluation and diagnosis of mitochondrial-related diseases.In response,we propose a super-resolution quantification strategy based on structured illumination microscopy(SIM)for the rapid,accurate evaluation of mitochondrial morphology.Using the strategy,we accurately captured the morphological distribution of mitochondria at the nanoscale level in a way generally applicable to checking various cell processes and identifying patients with mitochondrial disease who exhibit the SLC25A46 mutation.We also used algorithm-assisted super-resolution imaging to quantitatively analyze damage to mitochondrial cristae,which supports a novel drug screening strategy—high-resolution drug screening—for investigating drugs’pharmacodynamics on organelles in living cells.In short,our strategy improves the accurate examination of changes in mitochondrial morphology in living cells and indicates new ways in which SIM-imaging can assist in diagnosing mitochondrial disease at the single-cell level.展开更多
基金supported,in part,by Natural Science Foundation of China(T2341004,82321004,81925037,82274403,82174054)Guangdong Major Project of Basic and Applied Basic Research(2023B0303000026,China)+7 种基金Guangdong Basic and Applied Basic Research Foundation(2023B1515020020,2023B1515040016,2021B1515120023,China)Guangdong International Science and Technology Cooperation Base(2021A0505020015,China)Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs,Guangzhou Basic and Applied Basic Research Foundation(2024A04J6406,China)China Association of Chinese Medicine(CACM-2022-QNRC2-B08)K.C.Wong Education Foundation,GDUPS(2019)Innovation Team Project of Guangdong Provincial Department of Education(2020KCXTD003,2021KCXTD001,China)Guangzhou Key Laboratory of Traditional Chinese Medicine&Disease Susceptibility(2024A03J090,China)Guangdong-Hong Kong-Macao Universities Joint Laboratory for the Internationalization of Traditional Chinese Medicine(2023LSYS002,China).
文摘“Weibing”is a fundamental concept in traditional Chinese medicine(TCM),representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction.This perspective delves into the biological foundations and quantifiable markers of Weibing,aiming to establish a research framework for early disease intervention.Here,we propose the“Health Quadrant Classification”system,which divides the state of human body into health,sub-health,disease-susceptible state,and disease.We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions.To understand the intrinsic dynamics of this state,we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models.At the molecular level,bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression.Furthermore,we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease.This approach resonates with TCM’s preventive philosophy,emphasizing proactive health maintenance and disease prevention.Ultimately,our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.
基金This work was supported by the Special Project for the Shandong Provincial Key Laboratory(No.SDKL2017023)the National key R&D Plan Key Research Projects of Modernization of Traditional Chinese Medicine(No.2019 YFC1711203)+1 种基金Shandong Provincial Enterprise Project for Talents Development to P.X.L.,Key Research and Development Plan of Shandong Province(Nos.2018GSF121033,2019GSF108225,and 2019JZZY010520)Outstanding Contribution to the Shandong Middle-aged and Young Experts to F.L.,Academic promotion program of Shandong First Medical University(No.2019LJ003)to Q.X.C.We also thank Dr.Taosheng Huang for kindly gifted SLC25A46 normal and mutant cell line.
文摘Mitochondrial damage,characterized by altered morphological distribution and the damage of cristae,is closely associated with mitochondrial disease.However,imaging methods for capturing mitochondrial morphology at the nanoscale level in live samples remain unavailable,which seriously hinders the accurate evaluation and diagnosis of mitochondrial-related diseases.In response,we propose a super-resolution quantification strategy based on structured illumination microscopy(SIM)for the rapid,accurate evaluation of mitochondrial morphology.Using the strategy,we accurately captured the morphological distribution of mitochondria at the nanoscale level in a way generally applicable to checking various cell processes and identifying patients with mitochondrial disease who exhibit the SLC25A46 mutation.We also used algorithm-assisted super-resolution imaging to quantitatively analyze damage to mitochondrial cristae,which supports a novel drug screening strategy—high-resolution drug screening—for investigating drugs’pharmacodynamics on organelles in living cells.In short,our strategy improves the accurate examination of changes in mitochondrial morphology in living cells and indicates new ways in which SIM-imaging can assist in diagnosing mitochondrial disease at the single-cell level.
