收藏切换
Serum biomarkers and bioinformatics of Alzheimer's disease based on LC-MS/MS proteomics
收藏切换
PDF
Ting-ting XU1, Peng GUO2, Wei ZHANG2, *, Xiao-liang WANG1, *
Acta Pharmaceutica Sinica | 2020, 55(7) : 1604 - 1613
Less
收藏切换
Acta Pharmaceutica Sinica | 2020, 55(7): 1604-1613
Original Articles
Serum biomarkers and bioinformatics of Alzheimer's disease based on LC-MS/MS proteomics
Full
Ting-ting XU1, Peng GUO2, Wei ZHANG2, *, Xiao-liang WANG1, *
Affiliations
  • 1. Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
  • 2. Neurology Center, Beijing Tian Tan Hospital, Capital Medical University, Beijing 100070, China
Published: 2020-07-12 doi: 10.16438/j.0513-4870.2020-0770
Outline
收藏切换

To identify potential serum proteins that might serve as biomarkers for Alzheimer's disease (AD), we performed comparative proteomic profiling of sera from AD and healthy control subjects using label-free LC-MS/MS. Our study identified 387 proteins, 61 of which showed significant changes in the serum of AD patients compared to healthy controls. Gene ontology (GO) enrichment analysis showed that some GO terms related to the pathogenesis of AD were significantly enriched in differentially expressed proteins, including cholesterol and lipid metabolism, inflammation, coagulation and hemostasis processes, and immune responses. Therefore, based on the above results and the consistency of protein content changes in the 8 comparison groups, 18 proteins were selected as candidate biomarkers. Protein-protein interaction results suggest that these 18 proteins can directly or indirectly interact with APP. Therefore, changes in the levels or functions of these proteins may affect Aβ metabolism and participate in the occurrence of AD, and have the potential to become AD blood biomarkers.

Alzheimer's disease  /  biomarker  /  serum  /  label free LC-MS/MS  /  proteomics
Ting-ting XU, Peng GUO, Wei ZHANG, Xiao-liang WANG. Serum biomarkers and bioinformatics of Alzheimer's disease based on LC-MS/MS proteomics[J]. Acta Pharmaceutica Sinica, 2020 , 55 (7) : 1604 -1613 . DOI: 10.16438/j.0513-4870.2020-0770
Year 2020 volume 55 Issue 7
PDF
110
50
Cite this Article
BibTeX
Article Info
doi: 10.16438/j.0513-4870.2020-0770
  • Receive Date:2020-05-18
  • Online Date:2026-01-21
  • Published:2020-07-12
Article Data
Affiliations
History
  • Received:2020-05-18
  • Revised:2020-06-18
Funding
Affiliations
    1. Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
    2. Neurology Center, Beijing Tian Tan Hospital, Capital Medical University, Beijing 100070, China
References
Share
https://castjournals.cast.org.cn/joweb/yxxb/EN/10.16438/j.0513-4870.2020-0770
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT