Skip to main content
Neuropsychiatric Disease and Treatment logoLink to Neuropsychiatric Disease and Treatment
. 2011 Aug 24;7:495–499. doi: 10.2147/NDT.S23721

Minimally invasive biomarker confirms glial activation present in Alzheimer’s disease: a preliminary study

Napapon Sailasuta 1,, Kent Harris 1, Thao Tran 1, Brian Ross 1
PMCID: PMC3173032  PMID: 21931491

Abstract

We applied 13C magnetic resonance spectroscopy (MRS), a nonradioactive, noninvasive brain imaging technique, to quantify the oxidation of [1-13C] acetate in a conventional clinical magnetic resonance imaging (MRI) scanner in five consecutive elderly subjects at various clinical stages of Alzheimer’s disease (AD) progression. [1-13C] acetate entered the brain and was metabolized to [5-13C] glutamate and glutamine, as well as [1-13C] glutamate and glutamine, and the final glial oxidation product, 13C bicarbonate, at a linear rate. Calculation of the initial slope was similar in a single subject, examined twice, 1 month apart (test-re-test 8%). Mean rate of cerebral bicarbonate production in this elderly group was 0.040 ± 0.01 (n = 5). Assuming that the rate of conversion of acetate to bicarbonate is a reflection of glial metabolic rate and that glial metabolic rate is a surrogate marker for ‘neuroinflammation’, our preliminary results suggest that [1-13C] MRS may provide biomarkers for diseases, believed to involve microglia and other cells of the astrocyte series. Among these is AD, for which novel drugs which ameliorate the damaging effects of neuroinflammation before symptoms of dementia appear, are in advanced development. The value of 13C MRS as an early, noninvasive biomarker may lie in the conduct of cost-effective clinical trials.

Keywords: Alzheimer’s disease, noninvasive biomarker, glial activation

Introduction

In Alzheimer’s disease (AD), incidence and prevalence increase with age. AD is the sixth leading cause of death in the US, and there are no effective therapies for the disease. Development of disease-modifying treatments for AD has been both expensive and unsuccessful to date. A shortcoming of current largely neuronal biomarkers, magnetic resonance imaging (MRI), amyloid imaging, and cerebrospinal fluid biomarkers, is the absence of an accepted biomarker for glial activation.1,2 Neuroinflammation, also termed glial activation, has long been implicated in the pathology of AD.3 Recent research has shown that there are early pathological changes in the brains of persons with predementia memory decline, which can even be detected in asymptomatic individuals who may eventually develop AD.4,5 This phenomenon occurs early in the course of AD possibly before the more extensive neuron damage monitored by clinical tests. Most AD clinical trials depend on measures of rates of change in highly variable and insensitive clinical and cognitive measures. Therefore, there is an urgent need for appropriate biomarkers that can serve as outcome endpoints to detect progression of disease.

Magnetic resonance spectroscopy (MRS) is a powerful method for measuring brain metabolism. Noninvasive proton MRS has been used to measure brain chemical contents statically68 while minimally invasive carbon MRS has been used to measure brain metabolic processes in action, dynamically.9 With appropriate infusion of brain exogenous labeled substrates, neuronal and glial metabolic rates have been reported in numerous neurodegenerative diseases.1014 It is accepted that acetate, which enters the brain tricarboxylic acid cycle via an astrocyte-specific enzyme, can be used as a tracer for astrocyte or glial oxidative metabolism.1517 Both C1 and C2 labeled acetate have been used successfully to study glial metabolism in intact human brains.10,13,14 In aging, evidence of upregulation of astrocytes (glia) metabolism was demonstrated with an increase of 25% in older subjects compared with younger adults using labeled C2 acetate as exogenous substrate.18

In this preliminary communication, we employed a short protocol developed previously19 to directly measure glial dysfunction in Alzheimer’s patients using C1 acetate as an exogenous labeled substrate.

Methods

Patients

The studies were approved by the local internal review board (Huntington Memorial Hospital), and all patients gave written informed consent. A total of 24 MRI/MRS studies were performed on six subjects of whom two had AD, two had mild cognitive impairment (MCI) and two were healthy older adults with mean age of 78 ± 3 years, and two were females.

Neuropsychological assessments

All subjects underwent extensive neuropsychological evaluation using the standard test battery to evaluate AD.20 Briefly: premorbid estimates of intellectual functioning were performed (Wechsler Test of Adult Reading). The core neuropsychological battery included the Wechsler Adult Intelligence Scales, third ed. (WAIS-III) and the Wechsler Memory Scales, third ed. (WMS-III) Domains of Attention/Concentration/Working Memory (WAIS-III Digit Span, Letter–Number Sequencing and Arithmetic), Psychomotor/Information processing (WAIS-III Symbol Search and Digit Symbol, Stroop word reading and color naming), Language functions (COWAT-FAS and Animals, WAIS-III Information), Verbal Memory (WMS-III Logical Memory I and II, California Verbal Learning Test-II), Nonverbal Memory (Brief Visual Memory Test-Revised, Rey Osterreich Complex Figure Test-Delay), Visuospatial/construction (WAIS-III Block Design, Picture Completion, Ruff Figural Fluency, Judgment of Line Orientation, Rey Osterreich Complex Figure Test-Copy) Executive Functions (Delis–Kaplan Executive Functions System – Tower Test), and Motor Functioning (Purdue Pegboard) were assessed.

All subjects underwent mini-mental state examination (MMSE). Criteria for MCI cut-off from normal included absence of dementia (MMSE ≥ 23) essentially preserved activities of daily living, the presence of cognitive and/or memory complaints, and impairment >1 standard deviation below age norms on one or more immediate or delayed memory tests or ≥2 nonmemory tests.21 Criteria for AD classification included MMSE score <23, impairment in activities of daily living, and ≥2 standard deviations below age norms on a majority of memory tests.

Neuroimaging and spectroscopy

Examinations were performed on a GE 1.5 T MRI scanner equipped with non-proton MRS capability as previously prescribed.22 Localized MRI was acquired with a 30-slice T2-weighted fast spin echo imaging sequence with echo time (TE) = 96 milliseconds, repetition time (TR) = 4 seconds, slice thickness = 5 mm, 1 excitation, and 256 × 192 data acquisition matrix using a single channel quadrature head coil for both transmitting and receiving. These localizer images were used to prescribe two single voxel proton MRS acquisitions of posterior cingulate grey matter and white matter (PROBE-p TE = 35 milliseconds, TR = 1.5 seconds, 8 mL voxel, 128 averages). For proton decoupled 13C MRS, scanning protocol is similar to that previously described.19,23 Briefly, prior to the start of the infusion protocol, a natural abundance 13C MRS was acquired for 30 minutes of five blocks pulse, to acquire data averaging a Waltz-4 bi-level proton decoupling and nuclear OverHouser (NOE) scheme with a power level of 5 W during decoupling and 0.9 W during the NOE period. Subsequently, intravenous administration of stable isotope enriched 1–13C acetate (Cambridge Isotopes Laboratories, Andover, MA; FDA IND 59,950) was performed with the subjects lying comfortably outside the MRI scanner for 60 minutes. The patients were then swiftly positioned back in the MRI scanner and data acquisition was performed for another 60 minutes.

Data and statistical analysis

Automated spectral processing for single voxel proton MRS data was performed using the commercially available LCModel software24 using a standard 1.5T reference basis set for semi-quantification. The results are reported as metabolic ratios.

For 13C MRS time series data were processed as previously described using an observer-independent automatic IDL-based software developed in house and SAGE (GE Healthcare, Milwaukee, WI).14 The rate of bicarbonate production was determined using the difference between the amount of measured bicarbonate level pre- and post-infusion over the time from the start of infusion to the end of data acquisition.19

Simple statistical analysis was performed using linear regression, and the goodness of linear fit is reported as R2.

Results

Subject characteristics, MRS, and neuropsychological evaluation results are shown in Table 1.

Table 1.

Compilations of subjects’ characteristics, proton, carbon MRS, and neuropsychological assessment results

Patient 1 Control Patient 2 Control Patient 3 MCI Patient 4 MCI Patient 5 AD Patient 6 AD
Subject characteristics
Age 80 83 77 81 76 76
Gender M M M M F F
MMSE 30 28 26 27 22 22
Proton MRS results
NAA/Cr 1.45 1.37 1.47 1.37 1.62 1.39
mI/Cr 0.56 0.72 0.77 0.74 0.85 0.83
NAA/mI 2.6 1.92 1.92 1.85 1.34 1.67
Carbon MRS results
Rate of bicarbonate production (%FE/minute) 0.023 0.03 0.042 0.033 0.056 0.06
Neuropsychological assessment (Zscores)
Attention/concentration Working memory WNL WNL −2 WNL −1.6 −1.6
Psychomotor/Information processing WNL WNL WNL WNL −1.5 −1.5
Language functions WNL WNL −1.5 WNL −1.5 −1.5
Verbal memory WNL WNL −1.3 −1.3 −3 −3
Nonverbal memory WNL WNL −3 WNL −3 −3
Visuospatial/construction WNL −1.4 −1.4 −2 −2 −2
Executive functions WNL −1.4 −2.5 WN: −3 −3
Motor functions WNL WNL −1.3 WNL WNL WNL

Abbreviations: AD, Alzheimer’s disease; Cr, creatine; FE, fractional enrichment; mI, myo-inositol; MCI, mild cognitive impairment; MMSE, mini-mental state examination; MRS, magnetic resonance spectroscopy; NAA, N-acetyl aspartate; WNL, within normal range.

Proton MRS shows increased myoinositol to creatine ratio and decreased N-acetyl aspartate to myoinositol ratio, similar to results previously reported.5 Typical proton MRS spectra in cognitively normal, MCI, and AD subjects are shown in Figure 1.

Figure 1.

Figure 1

Proton MRS spectra from healthy elderly (A), an elderly subject with MCI (B) and an AD patient (C). Spectra were scaled to creatine peak intensity.

Abbreviations: AD, Alzheimer’s disease; MCI, mild cognitive impairment; mI, myo-inositol; MRS, magnetic resonance spectroscopy; NAA, N-acetyl aspartate.

Glial metabolism of 13C acetate was demonstrated by increased 13C enrichment of cerebral bicarbonate (HCO3, 161 ppm) compared with pre-infusion (Figure 2). The unenriched total creatine resonance (tCr, 158 ppm) was also observed.

Figure 2.

Figure 2

Typical spectra (147–167 ppm region) of 13C MRS in an AD subject at baseline (A) and at 1 hour after start of infusion (B).

Abbreviations: MRS, magnetic resonance spectroscopy; AD, Alzheimer’s disease; tCr, total creatine.

Clinically defined normal, MCI, and AD patients (MMSE normal = 28–30, MCI = 23–27, AD < 23) was accompanied by reduction in NAA/mI (−36% ± 0.05; P = 0.01) as previously described.5

In contrast, 13C MRS showed a progressive increase in enrichment of the glial-oxidation product, 13C-bicarbonate (Figure 2). The increase in glial metabolic activity showed that %fractional enrichment of bicarbonate was inversely correlated with clinical grade (MMSE) (R2 = 0.908) (Figure 3A) and MRS-glial biomarker (mI/Cr) (R2 = 0.753) (Figure 3B). Weak or no correlation was observed for neuronal biomarker (NAA/Cr) and glial metabolic activity (R2 = 0.11) (not shown).

Figure 3.

Figure 3

Significant correlation of the rate of bicarbonate productions in % fractional enrichment (FE) of bicarbonate per minute and the clinical measure, mini-mental state examination (MMSE) with R2 = 0.908 (A) and glial cell density from proton MRS (mI/Cr) with R2 = 0.753 (B).

Abbreviations: AD, Alzheimer’s disease; Cr, creatine; FE, fractional enrichment; mI, myo-inositol; MCI, mild cognitive impairment; MRS, magnetic resonance spectroscopy; MMSE, mini-mental state examination.

Conclusions

Our preliminary results directly demonstrate progressively elevated glial metabolic rate in patients with MCI and AD in proportion to the elevation in glial marker myoinositol of conventional proton MRS, and inversely correlated with a clinical measure of cognitive decline, MMSE. Although the number of patients in this preliminary study is small, the data could contribute to the ongoing debate supporting the general belief that activation of glia observed in animal models, may occur in human MCI and AD.

Neuroscientists have made extensive use of the term ‘neuroinflammation’ to describe a complex process that occurs when glia cells undergo activation in response to stimuli such as viral infection,25,26 undesirable substances,27,28 injury,29 and illnesses.30 Activated microglia and glia cells have been reported in AD.3,31,32 It is possible that our observation of an increase in glial activation is synonymous with neuroinflammation. Additional studies are required to confirm that relationship. If confirmed, 13C MRS after infusion of 1–13C acetate as employed here would provide a practical approach to defining neuroinflammation in human brain. Extending the present observation to larger numbers of well-defined patients and in longitudinal studies which document the onset of glial hyperactivity in comparison with the earliest evidence of neuronal loss (proton MRS or 13C MRS using 1–13C glucose as exogenous substrate are valid techniques33) could provide direct information on whether neuroinflammation is the immediate cause of MCI and AD or merely a secondary effect of neuronal injury. A conclusion in favor of the former mechanism would support the renewed impetus for preventative therapies, which target neuroinflammation in the increasing numbers of patients diagnosed with early AD. Human use of 13C MRS, as demonstrated here, is a safe, nonradioactive technique which can be performed on conventional clinical MRI scanners with only minor modification, and would be a valuable tool for such future studies.

Acknowledgment

The authors thank Norman Chien, MD for referral of AD subjects, Dr Michael Harrington, Ms Sherri Lee, and the Fuller Seminary students for their assistance in preliminary subject screening (N = 3) and Mr Thomas Warren for his assistance in the infusion protocol. The study is funded by NIDA (K25DA21112, NS) and L.K. Whittier Foundation (BDR, KH, and TT).

Footnotes

Disclosure

The authors declare no conflicts of interest in this work.

References

  • 1.Kim S, Swaminathan S, Shen L, et al. Genome-wide association study of CSF biomarkers Abeta 1–42 t-tau, and p-tau181p in the ADNI cohort. Neurology. 2011;76(1):69–79. doi: 10.1212/WNL.0b013e318204a397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Shaw LM, Vanderstichele H, Knapik-Czajka M, et al. Qualification of the analytical and clinical performance of CSF biomarker analyses in ADNI. Acta Neuropathol. 2011;121(5):597–609. doi: 10.1007/s00401-011-0808-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Krause DL, Muller N. Neuroinflammation, microglia and implications for anti-inflammatory treatment in Alzheimer’s disease. Int J Alzheimers Dis. 2010;2010:732806. doi: 10.4061/2010/732806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Jack CR, Jr, Knopman DS, Jagust WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol. 2010;9(1):119–128. doi: 10.1016/S1474-4422(09)70299-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Godbolt AK, Waldman AD, MacManus DG, et al. MRS shows abnormalities before symptoms in familial Alzheimer disease. Neurology. 2006;66(5):718–722. doi: 10.1212/01.wnl.0000201237.05869.df. [DOI] [PubMed] [Google Scholar]
  • 6.Ross BD, Bluml S, Cowan R, Danielsen E, Farrow N, Gruetter R. In vivo magnetic resonance spectroscopy of human brain: the biophysical basis of dementia. Biophys Chem. 1997;68(1–3):161–172. doi: 10.1016/s0301-4622(97)00032-x. [DOI] [PubMed] [Google Scholar]
  • 7.Ross BD, Danielsen ER, Bluml S. Proton magnetic resonance spectroscopy: the new gold standard for diagnosis of clinical and sub-clinical hepatic encephalopathy? Dig Dis. 1996;14(Suppl 1):30–39. doi: 10.1159/000171581. [DOI] [PubMed] [Google Scholar]
  • 8.Ross B, Tran T, Bhattacharya P, Watterson DM, Sailasuta N. Application of NMR spectroscopy in medicinal chemistry and drug discovery. Curr Top Med Chem. 2011;11(1):93–114. doi: 10.2174/156802611793611850. [DOI] [PubMed] [Google Scholar]
  • 9.Ross B, Lin A, Harris K, Bhattacharya P, Schweinsburg B. Clinical experience with 13C MRS in vivo. NMR Biomed. 2003;16(6–7):358–369. doi: 10.1002/nbm.852. [DOI] [PubMed] [Google Scholar]
  • 10.Lebon V, Petersen KF, Cline GW, et al. Astroglial contribution to brain energy metabolism in humans revealed by 13C nuclear magnetic resonance spectroscopy: elucidation of the dominant pathway for neurotransmitter glutamate repletion and measurement of astrocytic oxidative metabolism. J Neurosci. 2002;22(5):1523–1531. doi: 10.1523/JNEUROSCI.22-05-01523.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rothman DL, Behar KL, Hyder F, Shulman RG. In vivo NMR studies of the glutamate neurotransmitter flux and neuroenergetics: implications for brain function. Annu Rev Physiol. 2003;65:401–427. doi: 10.1146/annurev.physiol.65.092101.142131. [DOI] [PubMed] [Google Scholar]
  • 12.Bluml S, Moreno A, Hwang JH, Ross BD. 1-(13)C glucose magnetic resonance spectroscopy of pediatric and adult brain disorders. NMR Biomed. 2001;14(1):19–32. doi: 10.1002/nbm.679. [DOI] [PubMed] [Google Scholar]
  • 13.Bluml S, Moreno-Torres A, Shic F, Nguy CH, Ross BD. Tricarboxylic acid cycle of glia in the in vivo human brain. NMR Biomed. 2002;15(1):1–5. doi: 10.1002/nbm.725. [DOI] [PubMed] [Google Scholar]
  • 14.Sailasuta N, Abulseoud O, Harris KC, Ross BD. Glial dysfunction in abstinent methamphetamine abusers. J Cereb Blood Flow Metab. 2010;30(5):950–960. doi: 10.1038/jcbfm.2009.261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Van den Berg CJ, Krzalic L, Mela P, Waelsch H. Compartmentation of glutamate metabolism in brain. Evidence for the existence of two different tricarboxylic acid cycles in brain. Biochem J. 1969;113(2):281–290. doi: 10.1042/bj1130281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wyss MT, Magistretti PJ, Buck A, Weber B. Labeled acetate as a marker of astrocytic metabolism. J Cereb Blood Flow Metab. 2011 June 8; doi: 10.1038/jcbfm.2011.84. [Epub ahead of print.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Muir D, Berl S, Clarke DD. Acetate and fluoroacetate as possible markers for glial metabolism in vivo. Brain Res. 1986;380(2):336–340. doi: 10.1016/0006-8993(86)90231-3. [DOI] [PubMed] [Google Scholar]
  • 18.Boumezbeur F, Mason GF, de Graaf RA, et al. Altered brain mitochondrial metabolism in healthy aging as assessed by in vivo magnetic resonance spectroscopy. J Cereb Blood Flow Metab. 2010;30(1):211–221. doi: 10.1038/jcbfm.2009.197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Sailasuta N, Tran TT, Harris KC, Ross BD. Swift Acetate Glial Assay (SAGA): an accelerated human (1)(3)C MRS brain exam for clinical diagnostic use. J Magn Reson. 2010;207(2):352–355. doi: 10.1016/j.jmr.2010.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Strauss EH, Sherman EMS, Spreen O. A compendium of neuropsychological tests. 3rd ed. New York: Oxford University Press; 2006. [Google Scholar]
  • 21.Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256(3):183–194. doi: 10.1111/j.1365-2796.2004.01388.x. [DOI] [PubMed] [Google Scholar]
  • 22.Sailasuta N, Robertson LW, Harris KC, Gropman AL, Allen PS, Ross BD. Clinical NOE 13C MRS for neuropsychiatric disorders of the frontal lobe. J Magn Reson. 2008;195(2):219–225. doi: 10.1016/j.jmr.2008.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sailasuta N, Abulseoud O, Hernandez M, Haghani P, Ross BD. Metabolic abnormalities in abstinent methamphetamine dependent subjects. Subst Abuse. 2010;2010(4):9–20. doi: 10.4137/sart.s4625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Provencher SW. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med. 1993;30(6):672–679. doi: 10.1002/mrm.1910300604. [DOI] [PubMed] [Google Scholar]
  • 25.Eden A, Price RW, Spudich S, Fuchs D, Hagberg L, Gisslen M. Immune activation of the central nervous system is still present after >4 years of effective highly active antiretroviral therapy. J Infect Dis. 2007;196(12):1779–1783. doi: 10.1086/523648. [DOI] [PubMed] [Google Scholar]
  • 26.Von Giesen HJ, Wittsack HJ, Wenserski F, Koller H, Hefter H, Arendt G. Basal ganglia metabolite abnormalities in minor motor disorders associated with human immunodeficiency virus type 1. Arch Neurol. 2001;58(8):1281–1286. doi: 10.1001/archneur.58.8.1281. [DOI] [PubMed] [Google Scholar]
  • 27.Sekine Y, Ouchi Y, Sugihara G, et al. Methamphetamine causes microglial activation in the brains of human abusers. J Neurosci. 2008;28(22):5756–5761. doi: 10.1523/JNEUROSCI.1179-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Miguel-Hidalgo JJ. The role of glial cells in drug abuse. Curr Drug Abuse Rev. 2009;2(1):72–82. [PubMed] [Google Scholar]
  • 29.Hilton GD, Stoica BA, Byrnes KR, Faden AI. Roscovitine reduces neuronal loss, glial activation, and neurologic deficits after brain trauma. J Cereb Blood Flow Metab. 2008;28(11):1845–1859. doi: 10.1038/jcbfm.2008.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Graber DJ, Hickey WF, Harris BT. Progressive changes in microglia and macrophages in spinal cord and peripheral nerve in the transgenic rat model of amyotrophic lateral sclerosis. J Neuroinflammation. 2010;7:8. doi: 10.1186/1742-2094-7-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Eikelenboom P, Bate C, Van Gool WA, et al. Neuroinflammation in Alzheimer’s disease and prion disease. Glia. 2002;40(2):232–239. doi: 10.1002/glia.10146. [DOI] [PubMed] [Google Scholar]
  • 32.McGeer EG, McGeer PL. Inflammatory processes in Alzheimer’s disease. Prog Neuropsychopharmacol Biol Psychiatry. 2003;27(5):741–749. doi: 10.1016/S0278-5846(03)00124-6. [DOI] [PubMed] [Google Scholar]
  • 33.Lin AP, Shic F, Enriquez C, Ross BD. Reduced glutamate neurotransmission in patients with Alzheimer’s disease – an in vivo (13)C magnetic resonance spectroscopy study. MAGMA. 2003;16(1):29–42. doi: 10.1007/s10334-003-0004-x. [DOI] [PubMed] [Google Scholar]

Articles from Neuropsychiatric Disease and Treatment are provided here courtesy of Dove Press

RESOURCES