Albany 2019: 20th Conversation - Abstracts

category image Albany 2019
Conversation 20
June 11-15 2019
Adenine Press (2019)

Magnetic Resonance Spectroscopy-based metabolomics analysis of Posterior Cingulate in patients with Alzheimer’s disease: A Systematic Review Study

Posterior cingulate cortex (PCC) is a paralympic cortical structure that is located in the middle of default mode network (DMN) that has a fundamental role in connecting different regions of the DMN (Hampson et al., 2006). The aim of this meta-analysis was to assess the metabolomics content changes in PCC of the patients with Alzheimer disease (AD) comparing to healthy controls (HC). We performed a comprehensive search through eight international indexing databases, including PubMed, Scopus, Cochrane library, CINAHL, ISI Web of Science, Science Direct from inception, Embase and PROSPERO from 1980 to 2018. Two authors independently extracted data and classified methods for analysis. Overall, a total of 3,067 relevant studies were initially found of which 18 studies comprising 1,647 cases, (658 (40%) males and 941 (60%) females, 921 (55.9%) HC and 678 (44.1%) AD cases). The analyses showed significant differences between AD patients and HC in term of NAA, mI, Glu and Glx concentrations (NAA: NAA: N-Acetyl Aspartate; mI: myo-Inositol; Glu: Glutamine; Glx: Glutamate & Glutamine). Also, metabolite ratios including NAA/Cr, Cho/Cr, and mI/Cr were significantly different. Hence, there were no significant differences in term of Cr and Cho levels and mI/NAA ratio between AD and HC groups. Our meta-analysis showed metabolite changes in the PCC can be used as a marker for early diagnosis of the AD. Although NAA biomarker is considered to be the most important metabolite and mI is most sensitive for early diagnosis of the AD, Cho/Cr ratio as a critical biomarker can be of interest to researchers.

Overview of the role of various metabolites engaged in the metabolic pathway of Alzheimer disease (AD)

Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C. & Constable, R. T. 2006. Brain connectivity related to working memory performance. J Neurosci, 26, 13338-43 (2016).

Kiarash Shirbandi 1, 2,
Mohammad Davoodi 3,
Elmira Hosseini 4,
Fakher Rahim 5, 6,
Babak Arjmand 6

1.Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Ahvaz, Iran.
2Department of Radiologic Technology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
3.Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
4.Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
5.Health Research Institute, Thalassemia and Hemoglobinopathies Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
6.Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

email: bioinfo2003@gmail.com