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Author

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  • Thambisetty, Madhav
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Article

Evidence for brain glucose dysregulation in Alzheimer's disease

by Yang An; Vijay R. Varma; Sudhir Varma; Ramon Casanova; Eric Dammer; Olga Pletnikova; Chee W. Chia; Josephine M. Egan; Luigi Ferrucci; Juan Troncoso; Allan Levey; James Lah; Nicholas Seyfried; Cristina Legido-Quigley; Richard O'Brien; Madhav Thambisetty

2018

Subjects
  • Biology, Neuroscience
  • Chemistry, Biochemistry
  • Chemistry, Pharmaceutical
  • File Download
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Abstract:Close

Introduction: It is unclear whether abnormalities in brain glucose homeostasis are associated with Alzheimer's disease (AD) pathogenesis. Methods: Within the autopsy cohort of the Baltimore Longitudinal Study of Aging, we measured brain glucose concentration and assessed the ratios of the glycolytic amino acids, serine, glycine, and alanine to glucose. We also quantified protein levels of the neuronal (GLUT3) and astrocytic (GLUT1) glucose transporters. Finally, we assessed the relationships between plasma glucose measured before death and brain tissue glucose. Results: Higher brain tissue glucose concentration, reduced glycolytic flux, and lower GLUT3 are related to severity of AD pathology and the expression of AD symptoms. Longitudinal increases in fasting plasma glucose levels are associated with higher brain tissue glucose concentrations. Discussion: Impaired glucose metabolism due to reduced glycolytic flux may be intrinsic to AD pathogenesis. Abnormalities in brain glucose homeostasis may begin several years before the onset of clinical symptoms.

Article

Changes in the detergent-insoluble brain proteome linked to amyloid and tau in Alzheimer's Disease progression

by Chad Hales; Eric B Dammer; Qiudong Deng; Duc M. Duong; Marla Gearing; Juan C. Troncoso; Madhav Thambisetty; James J Lah; Joshua M. Shulman; Allan I Levey; Nicholas Seyfried

2016

Subjects
  • Chemistry, Biochemistry
  • Biology, Neuroscience
  • File Download
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Abstract:Close

Despite a key role of amyloid-beta (Aβ) in Alzheimer's disease (AD), mechanisms that link Aβ plaques to tau neurofibrillary tangles and cognitive decline still remain poorly understood. The purpose of this study was to quantify proteins in the sarkosyl-insoluble brain proteome correlated with Aβ and tau insolubility in the asymptomatic phase of AD (AsymAD) and through mild cognitive impairment (MCI) and symptomatic AD. Employing label-free mass spectrometry-based proteomics, we quantified 2711 sarkosyl-insoluble proteins across the prefrontal cortex from 35 individual cases representing control, AsymAD, MCI and AD. Significant enrichment of Aβ and tau in AD was observed, which correlated with neuropathological measurements of plaque and tau tangle density, respectively. Pairwise correlation coefficients were also determined for all quantified proteins to Aβ and tau, across the 35 cases. Notably, six of the ten most correlated proteins to Aβ were U1 small nuclear ribonucleoproteins (U1 snRNPs). Three of these U1 snRNPs (U1A, SmD and U1-70K) also correlated with tau consistent with their association with tangle pathology in AD. Thus, proteins that cross-correlate with both Aβ and tau, including specific U1 snRNPs, may have potential mechanistic roles in linking Aβ plaques to tau tangle pathology during AD progression.

Article

A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer's Disease

by Nicholas Seyfried; Eric B Dammer; Vivek Swarup; Divya Nandakumar; Duc M. Duong; Lumin Yin; Qiudong Deng; Tram Nguyen; Chad Hales; Thomas Wingo; Jonathan D Glass; Marla Gearing; Madhav Thambisetty; Juan C. Troncoso; Daniel H. Geschwind; James J Lah; Allan I Levey

2017

Subjects
  • Health Sciences, Pathology
  • Chemistry, Biochemistry
  • File Download
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Abstract:Close

Here we report proteomic analyses of 129 human cortical tissues to define changes associated with the asymptomatic and symptomatic stages of Alzheimer's disease (AD). Network analysis revealed 16 modules of co-expressed proteins, 10 of which correlated with AD phenotypes. A subset of modules overlapped with RNA co-expression networks, including those associated with neurons and astroglial cell types, showing altered expression in AD, even in the asymptomatic stages. Overlap of RNA and protein networks was otherwise modest, with many modules specific to the proteome, including those linked to microtubule function and inflammation. Proteomic modules were validated in an independent cohort, demonstrating some module expression changes unique to AD and several observed in other neurodegenerative diseases. AD genetic risk loci were concentrated in glial-related modules in the proteome and transcriptome, consistent with their causal role in AD. This multi-network analysis reveals protein- and disease-specific pathways involved in the etiology, initiation, and progression of AD.
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