Sadhana Kumari1, Senthil Kumaran1, Vinay Goyal2, SN Dwivedi3, Achal Srivastava2, and Naranamangalam R Jagannathan1
1Department of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 3Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
Synopsis
Proton metabolic profile of serum samples in 20
patients with Parkinson’s disease (PD) and 10 healthy controls (HC) was studied
using 700 MHz NMR spectrometer. Data were processed using MestReNova
software (version: 10.0) and integral values were evaluated. PLS-DA
multivariate analysis was performed to compare the metabolic differences
between PD patients and HC using MetaboAnalyst (version: 3.0) software. We
found elevated levels of glucose, fatty acid,
glutamine, lactate, choline, creatine and acetate in PD patients in comparison
with HC (on t-test, p<0.05), indicating disturbances in lipid metabolism, fatty acid oxidation and
mitochondrial damage leading to dopaminergic deficiency in Parkinson's disease.
Purpose
To study the metabolic profile of serum sample by
in vitro NMR spectroscopy and identify possible bio-markers for Parkinson's Disease. Introduction
Parkinson’s disease (PD) is the second most
common neurodegenerative disorder, characterized by progressive loss of
dopaminergic neurons in the substantia nigra pars compacta (SNpc)1. Proton
nuclear magnetic resonance based metabolomic analysis is a powerful tool for the
determination of biomarkers for neurodegenerative disease. We used 1H
NMR technique with multivariate analysis to identify possible biomarkers in serum
sample of PD patients which could help in diagnosis of the disease.
Methods
Blood samples were collected from PD patients (n =
20; 13M/7F; mean age: 57 ± 7.0 years) and 10 age and gender matched healthy
controls (HC) (4M/6F; mean age: 49.0 ± 2.22 years) after 12 hours fasting,
centrifuged at 2000 g for 10 min at 4o C and stored the supernatant
sample at -80oC until the NMR experiment. We used 200 µl serum, 30 µl
Sodium formate (0.5mM, used as reference) and D2O solvent (to making
total volume 600µl) for NMR experiments. NMR spectra were acquired using 1D
CPMG pulse sequence using a 700 MHz NMR spectrometer (Varian, M/s. Agilent
Technologies, USA). Parameters were: scans 64; echo time 15 ms ; relaxation
delay 70 s. Peaks were assigned using 1D, 2D spectra (zTocsy) and data were processed
using MestReNova software (version10.0, Mestrelab Research, Spain). PLS-DA
multivariate analysis were carried out using MetaboAnalyst (version:3.0), a
web-based metabolomics data processing tool for comparison between PD patients
and HC. Results
Fourteen metabolites (α, β-glucose, fatty acid (Lip09, Lip21), glutamine,
lactate, choline, creatine, glutamine, acetate, alanine, leucine, isoleucine
and valine) were assigned as shown in representative 1D NMR
spectra (Figure 1) and integral values evaluated. Significant increase in glucose,
fatty acid, glutamine, lactate, choline, creatine and acetate were observed in PD
patients as compared to HC on t- test (non-parametric Wilcoxon rank-sum test, p<0.05).
PLS-DA analysis plot depicts clear separation between PD and HC (Figure 2).Discussion
Significant differences were observed in metabolic
profile of sera between PD patients and control group. Higher levels of lactate
may be attributed to disturbances in energy and glucose metabolism2. Increased levels of glutamate may be ascribed to impaired mitochondrial
function, due to increased vulnerability of affected neurons in PD as compared
to HC3. Increased levels of Lip09, Lip21 may be
due to enhanced lipid metabolism and fatty acid oxidation in PD. Presence of
Lewy bodies in PD with characteristic inclusions of aggregated alpha-synuclein has
been implicated in a range of interactions with phospholipid membranes and free
fatty acids. Association of alpha-synuclein with oxidized lipid metabolites may
lead to mitochondrial dysfunction in Parkinson's disease4. These
results demonstrate that metabolic profiling of serum could be useful as a
screening tool for early diagnosis and prognosis, and enhance our understanding
of the mechanisms involved in the disease progression.Conclusion
Metabolomic analysis
of serum sample identified potential biomarkers associated with lipid
metabolism, energy and glucose metabolism which would help in understanding PD
pathogenesis. Acknowledgements
No acknowledgement found.References
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