PreprintCited by 4

Visualization of reactive astrocytes in living brain of Alzheimer’s disease patient

Nam, Min-Ho, Ko, Hae Young, Lee, Sangwon, Park, Yongmin Mason, Hyeon, Seung Jae, Won, Woojin, Kim, Seon Yoo, Jo, Han Hee +14 more·2021

Preprint — published as 10.1093/brain/awad037

Abstract

An early appearance of reactive astrocytes is a hallmark of Alzheimer’s disease (AD) 1,2 , providing a substrate for early diagnostic neuroimaging targets. However, there is no clinically validated neuroimaging probe to visualize the reactive astrogliosis in the human brain in vivo . Here, we report that PET/CT imaging with 11 C-acetate and 18 F-fluorodeoxyglucose ( 18 F-FDG) functionally visualizes the reactive astrocyte-mediated neuronal hypometabolism in the brains with neuroinflammation and AD. We demonstrate that reactive astrocytes excessively absorb acetate through elevated monocarboxylate transporter-1 (MCT1), leading to aberrant GABA synthesis and release which suppresses neuronal glucose uptake through decreased glucose transporter-3 (GLUT3) in both animal and human brains. We propose the non-invasive functional PET/CT imaging for astrocytic acetate-hypermetabolism and neuronal glucose-hypometabolism as an advanced diagnostic strategy for early stages of AD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2021.04.13.439744

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 62

  1. Nordberg A. Molecular imaging in Alzheimer's disease: New perspectives on biomarkers for early diagnosis and drug devel- opment. Alzheimers Res Ther. 2011;3:34.
  2. Carter SF, Scholl M, Almkvist O, et al. Evidence for astrocytosis in prodromal Alzheimer disease provided by 11C-deuterium-L -deprenyl: A multitracer PET paradigm combining 11C -Pittsburgh compound B and 18F-FDG. J Nucl Med. 2012;53:37-46.
  3. Bi F, Huang C, Tong J, et al. Reactive astrocytes secrete lcn2 to promote neuron death. Proc Natl Acad Sci U S A. 2013;110: 4069-4074.
  4. Tao J, Wu H, Lin Q, et al. Deletion of astroglial dicer causes non-cell-autonomous neuronal dysfunction and degeneration. J Neurosci. 2011;31:8306-8319.
  5. Chun H. Severe reactive astrocytes precipitate pathological hall- marks of Alzheimer's disease via excessive H2O2-production. Nat Neurosci. 2020;23:1555-1566.
  6. Jo S, Yarishkin O, Hwang YJ, et al. GABA From reactive astrocytes impairs memory in mouse models of Alzheimer's disease. Nat Med. 2014;20:886-896.
  7. Nam MH, Cho J, Kwon DH, et al. Excessive astrocytic GABA causes cortical hypometabolism and impedes functional recov- ery after subcortical stroke. Cell Rep. 2020;32:107861.
  8. Heo JY, Nam MH, Yoon HH, et al. Aberrant tonic inhibition of dopaminergic neuronal activity causes motor symptoms in ani- mal models of Parkinson's disease. Curr Biol. 2020;30:276-291.e9.
  9. Chen Z, Zhong C. Decoding Alzheimer's disease from perturbed cerebral glucose metabolism: Implications for diagnostic and therapeutic strategies. Prog Neurobiol. 2013;108:21-43.
  10. Rodriguez-Vieitez E. PET Imaging of monoamine oxidase B. In: Dierckx RA, Otte A, de Vries EF, van Waarde A, Lammertsma AA, eds. PET And SPECT of neurobiological systems. Springer; 2021:521-545:chap 15.
  11. Zhang Y, Sloan SA, Clarke LE, et al. Purification and character- ization of progenitor and mature human astrocytes reveals transcriptional and functional differences with mouse. Neuron. 2016;89:37-53.
  12. Tong J, Meyer JH, Furukawa Y, et al. Distribution of monoamine oxidase proteins in human brain: Implications for brain im- aging studies. J Cereb Blood Flow Metab. 2013;33:863-871.
  13. Tong J, Rathitharan G, Meyer JH, et al. Brain monoamine oxidase B and A in human parkinsonian dopamine deficiency disorders. Brain. 2017;140:2460-2474.
  14. Nicklas WJ, Clarke DD. Decarboxylation studies of glutamate, glutamine, and aspartate from brain labelled with [1-14C]acet- ate, L-[U-14C]-aspartate, and L-[U-14C]glutamate. J Neurochem. 1969;16:549-558.
  15. Waniewski RA, Martin DL. Preferential utilization of acetate by astrocytes is attributable to transport. J Neurosci. 1998;18: 5225-5233.
  16. Cruz NF, Lasater A, Zielke HR, Dienel GA. Activation of astrocytes in brain of conscious rats during acoustic stimulation: Acetate utilization in working brain. J Neurochem. 2005;92:934-947.
  17. Wyss MT, Magistretti PJ, Buck A, Weber B. Labeled acetate as a marker of astrocytic metabolism. J Cereb Blood Flow Metab. 2011;31:1668-1674.
  18. Rowlands BD, Klugmann M, Rae CD. Acetate metabolism does not reflect astrocytic activity, contributes directly to GABA syn- thesis, and is increased by silent information regulator 1 activa- tion. J Neurochem. 2017;140:903-918.
  19. Sancheti H, Patil I, Kanamori K, et al. Hypermetabolic state in the 7-month-old triple transgenic mouse model of Alzheimer's dis- ease and the effect of lipoic acid: A 13C-NMR study. J Cereb Blood Flow Metab. 2014;34:1749-1760.
  20. Takata K, Kato H, Shimosegawa E, et al. 11C-acetate PET im- aging in patients with multiple sclerosis. PLoS One. 2014;9: e111598.
  21. Grimm D, Lee JS, Wang L, et al. In vitro and in vivo gene therapy vector evolution via multispecies interbreeding and retargeting of adeno-associated viruses. J Virol. 2008;82:5887-5911.
  22. Cox RW. AFNI: Software for analysis and visualization of func- tional magnetic resonance neuroimages. Comput Biomed Res. 1996;29:162-173.
  23. Papp EA, Leergaard TB, Calabrese E, Johnson GA, Bjaalie JG. Waxholm Space atlas of the sprague dawley rat brain. Neuroimage. 2014;97:374-386.
  24. Oh SJ, Lee JM, Kim HB, et al. Ultrasonic neuromodulation via astrocytic TRPA1. Curr Biol. 2019;29:3386-3401.e8.
  25. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's disease. Neurology. 1984;34:939-944.
  26. Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: Clinical characterization and outcome. Arch Neurol. 1999;56:303-308.
  27. Kato H, Okuno T, Isohashi K, et al. Astrocyte metabolism in mul- tiple sclerosis investigated by 1-C-11 acetate PET. J Cereb Blood Flow Metab. 2021;41:369-379.
  28. Kim S, Lee P, Oh KT, et al. Deep learning-based amyloid PET posi- tivity classification model in the Alzheimer's disease con- tinuum by using 2-[(18)F]FDG PET. EJNMMI Res. 2021;11:56.
  29. Nugent S, Croteau E, Potvin O, et al. Selection of the optimal in- tensity normalization region for FDG-PET studies of normal aging and Alzheimer's disease. Sci Rep. 2020;10:9261.
  30. Barthel H, Gertz HJ, Dresel S, et al. Cerebral amyloid-beta PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: A multicentre phase 2 diagnostic study. Lancet Neurol. 2011;10:424-435.
  31. Broer S, Rahman B, Pellegri G, et al. Comparison of lactate trans- port in astroglial cells and monocarboxylate transporter 1 (MCT 1) expressing Xenopus laevis oocytes. Expression of two differ- ent monocarboxylate transporters in astroglial cells and neu- rons. J Biol Chem. 1997;272:30096-30102.
  32. Ideno M, Kobayashi M, Sasaki S, et al. Involvement of monocar- boxylate transporter 1 (SLC16A1) in the uptake of l-lactate in hu- man astrocytes. Life Sci. 2018;192:110-114.
  33. Woo J, Im SK, Chun H, et al. Functional characterization of rest- ing and adenovirus-induced reactive astrocytes in three- dimensional culture. Exp Neurobiol. 2017;26:158-167.
  34. Escartin C, Pierre K, Colin A, et al. Activation of astrocytes by CNTF induces metabolic plasticity and increases resistance to metabolic insults. J Neurosci. 2007;27:7094-7104.
  35. Yun M, Bang SH, Kim JW, Park JY, Kim KS, Lee JD. The import- ance of acetyl coenzyme A synthetase for 11C-acetate uptake and cell survival in hepatocellular carcinoma. J Nucl Med. 2009; 50:1222-1228.
  36. Duong MT, Chen YJ, Doot RK, et al. Astrocyte activation imaging with 11C-acetate and amyloid PET in mild cognitive impairment due to Alzheimer pathology. Nucl Med Commun. 2021;42:1261-1269.
  37. Leino RL, Gerhart DZ, van Bueren AM, McCall AL, Drewes LR. Ultrastructural localization of GLUT 1 and GLUT 3 glucose trans- porters in rat brain. J Neurosci Res 1997;49:617-626.
  38. Zimmer ER, Parent MJ, Souza DG, et al. [(18)F]FDG PET signal is driven by astroglial glutamate transport. Nat Neurosci. 2017;20: 393-395.
  39. Cheng J, Zhang R, Xu Z, et al. Early glycolytic reprogramming con- trols microglial inflammatory activation. J Neuroinflammation. 2021;18:129.
  40. Ju YH, Bhalla M, Hyeon SJ, et al. Astrocytic urea cycle detoxifies aβ-derived ammonia while impairing memory in Alzheimer's disease. Cell Metab. 2022;34:1104-1120.e8.
  41. Ko HY, Chung JI, Kim D, et al. Visualizing cancer-originated acet- ate uptake through MCT1 in reactive astrocytes demarcates tu- mor border and extends survival in glioblastoma patients. bioRxiv [Preprint] https://doi.org/10.1101/2021.04.13.439750. · DOI
  42. Ferreira JM, Burnett AL, Rameau GA. Activity-dependent regula- tion of surface glucose transporter-3. J Neurosci. 2011;31: 1991-1999.
  43. Patel AB, Lai JC, Chowdhury GM, et al. Direct evidence for activity-dependent glucose phosphorylation in neurons with implications for the astrocyte-to-neuron lactate shuttle. Proc Natl Acad Sci U S A. 2014;111:5385-5390.
  44. Suzuki A, Stern SA, Bozdagi O, et al. Astrocyte-neuron lactate transport is required for long-term memory formation. Cell. 2011;144:810-823.
  45. Wyss MT, Weber B, Treyer V, et al. Stimulation-induced in- creases of astrocytic oxidative metabolism in rats and humans investigated with 1-11C-acetate. J Cereb Blood Flow Metab. 2009; 29:44-56.
  46. Yamamoto Y, Nishiyama Y, Kimura N, et al. 11C-acetate PET in the evaluation of brain glioma: Comparison with 11C-methionine and 18F-FDG-PET. Mol Imaging Biol. 2008;10: 281-287.
  47. Kim S, Kim D, Kim SH, Park MA, Chang JH, Yun M. The roles of (11)C-acetate PET/CT in predicting tumor differentiation and survival in patients with cerebral glioma. Eur J Nucl Med Mol Imaging. 2018;45:1012-1020.
  48. Saiki S, Sasazawa Y, Fujimaki M, et al. A metabolic profile of polyamines in Parkinson disease: A promising biomarker. Ann Neurol. 2019;86:251-263.
  49. Sandusky-Beltran LA, Kovalenko A, Ma C, et al. Spermidine/ spermine-N(1)-acetyltransferase ablation impacts tauopathy- induced polyamine stress response. Alzheimers Res Ther. 2019; 11:58.
  50. Parthoens J, Servaes S, Verhaeghe J, Stroobants S, Staelens S. Prelimbic cortical injections of a GABA agonist and antagonist: In vivo quantification of the effect in the rat brain using [(18)F] FDG MicroPET. Mol Imaging Biol. 2015;17:856-864.
  51. Colombo AV, Sadler RK, Llovera G, et al. Microbiota-derived short chain fatty acids modulate microglia and promote Aβ pla- que deposition. Elife. 2021;10:e59826.
  52. Erny D, Dokalis N, Mezo C, et al. Microbiota-derived acetate en- ables the metabolic fitness of the brain innate immune system during health and disease. Cell Metab. 2021;33:2260-2276.e7.
  53. Liu J, Li H, Gong T, et al. Anti-neuroinflammatory effect of short- chain fatty acid acetate against Alzheimer's disease via upregu- lating GPR41 and inhibiting ERK/JNK/NF-kappaB. J Agric Food Chem. 2020;68:7152-7161.
  54. Cagnin A, Brooks DJ, Kennedy AM, et al. In-vivo measurement of activated microglia in dementia. Lancet. 2001;358:461-467.
  55. Surendranathan A, Su L, Mak E, et al. Early microglial activation and peripheral inflammation in dementia with Lewy bodies. Brain. 2018;141:3415-3427.
  56. Passamonti L, Rodriguez PV, Hong YT, et al. [(11)C]PK11195 bind- ing in Alzheimer disease and progressive supranuclear palsy. Neurology. 2018;90:e1989-e1996.
  57. Gulyás B, Vas A, Toth M, et al. Age and disease related changes in the translocator protein (TSPO) system in the human brain: Positron emission tomography measurements with [11C]vinpo- cetine. Neuroimage. 2011;56:1111-1121.
  58. Takano A, Piehl F, Hillert J, et al. In vivo TSPO imaging in patients with multiple sclerosis: A brain PET study with [18F]FEDAA1106. EJNMMI Res. 2013;3:30.
  59. Golla SS, Boellaard R, Oikonen V, et al. Quantification of [18F] DPA-714 binding in the human brain: Initial studies in healthy controls and Alzheimer's disease patients. J Cereb Blood Flow Metab. 2015;35:766-772.
  60. Varrone A, Mattsson P, Forsberg A, et al. In vivo imaging of the 18-kDa translocator protein (TSPO) with [18F]FEDAA1106 and PET does not show increased binding in Alzheimer's disease pa- tients. Eur J Nucl Med Mol Imaging. 2013;40:921-931.
  61. Villemagne VL, Harada R, Dore V, et al. Assessing reactive astro- gliosis with (18)F-SMBT-1 across the Alzheimer's disease spec- trum. J Nucl Med. 2022;63:1560-1569.
  62. Harada R, Hayakawa Y, Ezura M, et al. (18)F-SMBT-1: A selective and reversible PET tracer for monoamine oxidase-B imaging. J Nucl Med. 2021;62:253-258.

Cited by

Sorted by citations

Authors
Nam, M.-H., Ko, H. Y., Lee, S., Park, Y. M., Hyeon, S. J., Won, W., Kim, S. Y., Jo, H. H., Chung, J.-I., Han, Y.-E., Lee, G.-H., Ju, Y., Stein, T. D., Kong, M., Lee, H., Lee, S. E., Oh, S.-J., Chun, J.-H., Park, K. D., Ryu, H., Yun, M., & Lee, C. J.
Publisher
openRxiv
Published
2021-04-14
Cited by
4
References
1
Type
Preprint

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review