机构地区:[1]State KeyLaboratoryofTraditionalChinese MedicineSyndrome,State KeyLaboratoryof DampnessSyndromeofChinese MedicineSyndrome,Departmentof Neurology,TheSecondary Affiliated Hospitalof Guangzhou University of Chinese Medicine,Guangdong Provincial Hospital of Chinese Medicine,Guangdong Provincial Academy of Chinese Medical Sciences,Guangzhou 510120,China [2]State Key Laboratory of Medical Proteomics,Beijing Proteome Research Center,National Center for Protein Sciences(Beijing),Beijing Institute of Lifeomics,Beijing 102206,China [3]Guangzhou University of Chinese Medicine,Guangzhou 510006,China [4]Guangdong Mechanical&Electrical Polytechnic,Guangzhou 510440,China [5]Guangzhou Cadre and Talent Health Management Center(Guangzhou 11th People’s Hospital),Guangzhou 510779,China [6]Department of epilepsy,The Secondary Hospital of Guangzhou University of Chinese Medicine,Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510120,China
出 处:《Science China(Life Sciences)》2025年第3期809-824,共16页中国科学(生命科学英文版)
基 金:supported by the National Natural Science Foundation of China(32088101,32271498);the National Key Research and Development Program of China(2022YFA1303200);State Key Laboratory of Proteomics(SKLP-K202002);State Key Laboratory of Dampness Syndrome of Chinese Medicine,The Second Affiliated Hospital of Guangzhou University of Chinese Medicine(SZ2021ZZ06,SZ2021ZZ3205);Key-Area Research and Development Program of Guangdong Province(2020B1111100009);Guangzhou Science and Technology Plan Project(202102010275,202201020499).
摘 要:Salivary proteins serve multifaceted roles in maintaining oral health and hold significant potential for diagnosing and monitoring diseases due to the non-invasive nature of saliva sampling.However,the clinical utility of current saliva biomarker studies is limited by the lack of reference intervals(RIs)to correctly interpret the testing result.Here,we developed a rapid and robust saliva proteome profiling workflow,obtaining coverage of>1,200 proteins from a 50-μL unstimulated salivary flow with 30 min gradients.With the workflow,we investigated protein variation in a cohort of 1,743 healthy individuals.The significant differences in non-linear saliva proteomes among age groups resulted in the establishment of age-related RIs covering 1,123 salivary protein variations.We then utilized a cohort of 30 epilepsy patients as a case study to illustrate the practical application of RIs in identifying disease-enriched outlier proteins,elucidating their cellular origins,determining disease diagnosis,and visualizing outlier proteins in each epilepsy patient.Our study showed the classification model based on the RI achieved PR-AUC of 0.815(95%CI:0.813–0.826).Additionally,we validated these results in an independent test set.Furthermore,the epilepsy cohort could be further stratified into 2 major subtypes,with one subtype characterized by disrupted metabolic proteins and containing mostly Focal Cortical Dysplasia(FCD)type III epilepsy patients.Overall,our study provided a proof-of-principle workflow for the use of salivary proteome for health monitoring,epilepsy diagnosis and subtyping.
关 键 词:reference intervals saliva proteomics EPILEPSY biomarker disease subtypes
分 类 号:R74[医药卫生—神经病学与精神病学]
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