title: Metabolomics-based promising candidate biomarkers and pathways in Alzheimer's disease.
abstract: Pathologically, loss of synapses and neurons, extracellular senile plaques and intracellular neurofibrillary tangles (NFTs) are observed in the brains of patients with Alzheimer's disease (AD). These features are associated with changes Aβ (amyloid β) 40, Aβ42, total tau and phosphorylated tau (p-tau), which are as definitely biomarkers for severe AD state. However, biomarkers for effectively diagnosing AD in the pre-clinical state for directing therapeutic strategies are lacking. Metabolic profiling as a powerful tool to identify new biomarkers is receiving increasing attention in AD. This review will focus on metabolomics-based detection of promising candidate biomarkers and pathways in AD to facilitate the discovery of new medicines and disease pathways.
authors.forename: Jian
authors.initials: J
authors.lastname: Kang
authors.forename: Jingli
authors.initials: J
authors.lastname: Lu
authors.forename: Xiaojian
authors.initials: X
authors.lastname: Zhang
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000097:blood / Q000134:cerebrospinal fluid / Q000175:diagnosis / Q000235:genetics* / Q000378:metabolism*; D015415:Biomarkers / Q000032:analysis* / Q000097:blood / Q000134:cerebrospinal fluid; D005260:Female; D006801:Humans; D008297:Male; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D055432:Metabolomics / Q000379:methods*
chemical_list: D015415:Biomarkers