YUAN Chunchun,WANG Jing,SHU Bing,et al.The Concept of Traditional Chinese Medicine Phenomics and the Construction of Related Research System[J].Journal of Traditional Chinese Medicine,2022,63(05):407-411.
YUAN Chunchun,WANG Jing,SHU Bing,et al.The Concept of Traditional Chinese Medicine Phenomics and the Construction of Related Research System[J].Journal of Traditional Chinese Medicine,2022,63(05):407-411.DOI: 10.13288/j.11-2166/r.2022.05.002.
The Concept of Traditional Chinese Medicine Phenomics and the Construction of Related Research System
Rooted in the core theories of traditional Chinese medicine (TCM) and based on the large disease-syndromes-combined cohort, phenomics in TCM is proposed to determine the phenotypes during the whole process from occurrence to progression of diseases and syndromes, and explore the recovery mechanism under TCM interventions at the macro, meso, and micro levels in systematic, qualitative and quantitative ways, by taking use of the multidisciplinary methods and artificial intelligence, thereby revealing the modern scientific connotation of TCM. The research system of TCM phenomics can be constructed based on the large disease-syndrome-combined cohort, and by using the multidisciplinary and artificial intelligent techniques, with the explanation of the classic TCM theories as the scientific connotation. The main task in TCM phenomics is to associate the macro-, meso- and micro-phenotypes through the pathway where micro-phenotypes act on mesco- and macro-ones, based on the comprehensive obtain of all phenotypes and the focus on genes (congenital) and environment (acquired), and finally to draw the systematic physiological and pathological phenotype map of TCM phenomics, which will facilitate the precision medicine in TCM.
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MAHNER M , KARY M . What exactly are genomes,genotypes and phenotypes? And what about phenomes? [J]. J TheorBiol , 1997 , 186 ( 1 ): 55 - 63 .
VARKI A , WILLS C , PERLMUTTER D , et al . Great ape phenome project? [J]. Science , 1998 , 282 ( 5387 ): 239 - 240 .
WALHOUT AJ , REBOUL J , SHTANKO O , et al . Integrating interactome, phenome,and transcriptome mapping data for the C. elegans germline [J]. Curr Biol , 2002 , 12 ( 22 ): 1952 - 1958 .
PAIGEN K , EPPIG JT . A mouse phenome project [J]. Mammalian Genome , 2000 , 11 ( 9 ): 715 - 717 .
SCHILLING CH , EDWARDS JS , PALSSON BO . Toward metabolic phenomics: analysis of genomic data using flux balances [J]. Biotechnol Prog , 1999 , 15 ( 3 ): 288 - 295 .
GERLAI R . Phenomics: fiction or the future? [J]. Trends Neurosci , 2002 , 25 ( 10 ): 506 - 509 .
KELSOE JR , NICULESCU AB 3 RD. Finding genes for bipolar disorder in the functional genomics era :from convergent functional genomics to phenomics and back [J]. CNS Spectr , 2002, 7 ( 3 ):215-216, 223 - 226 .
NICULESCU AB , LULOW LL , OGDEN CA , et al . PhenoChipping of psychotic disorders: a novel approach for deconstructing and quantitating psychiatric phenotypes [J]. Am J Med Genet B Neuropsychiatr Genet , 2006 , 141 ( 6 ): 653 - 662 .
SORLIE P , WEI GS . Population-based cohort studies: still relevant? [J]. J Am Coll Cardiol , 2011 , 58 ( 19 ): 2010 - 2013 .
WONG ND , LEVY D . Legacy of the framingham heart study: rationale, design, initial findings and implications [J]. Global Heart , 2013 , 8 ( 1 ): 3 - 9 .
ARIC Investigators . The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives [J]. Am J Epidemiol , 1989 , 129 ( 4 ): 687 - 702 .
GAZIANO JM . The evolution of population science:advent of the mega cohort [J]. JAMA , 2010 , 304 ( 20 ): 2288 - 2289 .
COLLINS FS . The case for a US prospective cohort study of genes and environment [J]. Nature , 2004 , 429 ( 6990 ): 475 - 477 .
MANOLIO TA , BAILEY-WILSON JE , COLLINS FS . Genes, environment and the value of prospective cohort studies [J]. Nat Rev Genet , 2006 , 7 ( 10 ): 812 - 820 .
WANG J , SHU B , LI CG , et al . Polymorphisms of genes related to vitamin D metabolism and transportation and its relationship with the risk of osteoporosis: protocol for a multicentre prospective cohort study in China [J]. BMJ Open , 2019 , 9 ( 11 ): e028084 .
WANG J , CHEN L , ZHANG Y , et al . Association between serum vitamin B6 concentration and risk of osteoporosis in the middle-aged and older people: a cross-sectional study [J]. BMJ open , 2019 , 9 ( 7 ): e028129 .
MANZONI C , KIA DA , VANDROVCOVA J , et al . Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences [J]. Brief Bioinform , 2018 , 19 ( 2 ): 286 - 302 .
HUAN EY , WEN GH . Multilevel and multiscale feature aggregation in deep networks for facial constitution classification [J]. Comput Math Methods Med , 2019 , 2019 : 1258782 . doi: 10.1155/2019/1258782 http://dx.doi.org/10.1155/2019/1258782 .
WANG X , LIU J , WU C , et al . Artificial intelligence in tongue diagnosis: using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark [J]. Comput Struct Biotechnol J , 2020 , 18 : 973 - 980 . doi: 10.1016/j.csbj.2020.04.002 http://dx.doi.org/10.1016/j.csbj.2020.04.002 .
YANG K , ZENG Z , PENG H , et al . Attitudes of Chinese cancer patients toward the clinical use of artificial intelligence [J]. Patient Prefer Adherence , 2019 , 13 : 1867 - 1875 . doi: 10.2147/PPA.S225952 http://dx.doi.org/10.2147/PPA.S225952 .
CHEN J , HUANG H , HAO W , et al . A machine learning method correlating pulse pressure wave data with pregnancy [J]. Int J Numer Method Biomed Eng , 2020 , 36 ( 1 ): e3272 .
XIA S , ZHANG J , DU G , et al . A Microcosmic syndrome differentiation model for metabolic syndrome with multilabel learning [J]. Evid Based Complement Alternat Med , 2020 , 2020 : 9081641 . doi: 10.1155/2020/9081641 http://dx.doi.org/10.1155/2020/9081641 .
FENG C , SHAO Y , WANG B , et al . Development and application of artificial intelligence in auxiliary TCM diagnosis [J]. Evid Based Complement Alternat Med , 2021 , 2021 : 6656053 . doi: 10.1155/2021/6656053 http://dx.doi.org/10.1155/2021/6656053 .
DENNY JC , COLLINS FS . Precision medicine in 2030:seven ways to transform healthcare [J]. Cell , 2021 , 184 ( 6 ): 1415 - 1419 .
LI S , ZHANG ZQ , WU LJ , et al . Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network [J]. IET Syst Biol , 2007 , 1 ( 1 ): 51 - 60 .
CUI J , CUI H , YANG M , et al . Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade [J]. Protein Cell , 2019 , 10 ( 7 ): 496 - 509 .
ZHENG T , XIE W , XU L , et al . A machine learning-based framework to identify type 2 diabetes through electronic health records [J]. Int J Med Inform , 2017 , 97 : 120 - 127 . doi: 10.1016/j.ijmedinf.2016.09.014 http://dx.doi.org/10.1016/j.ijmedinf.2016.09.014 .
HAN Y , LI L , ZHANG Y , et al . Phenomics of vascular disease: the systematic approach to the combination the-rapy [J]. Curr Vasc Pharmacol , 2015 , 13 ( 4 ): 433 - 440 .
LIANG Q , SHI Q , WOOD R , et al . Peri-articular lymphatic system and “Bi” theory of Chinese medicine in the pathogenesis and treatment of arthritis [J]. Chin J Integr Med , 2015 , 21 ( 9 ): 648 - 655 .
SHU B , SHI Q , WANG YJ . Shen (Kidney)-tonifying principle for primary osteoporosis: to treat both the di-sease and the Chinese medicine syndrome [J]. Chin J Integr Med , 2015 , 21 ( 9 ): 656 - 661 .
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