Cited by 227Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers

Open access
Nho, Kwangsik, Kueider-Paisley, Alexandra, Ahmad, Shahzad, MahmoudianDehkordi, Siamak, Arnold, Matthias, Risacher, Shannon L., Louie, Gregory, Blach, Colette +11 more·2019·JAMA Network Open

Abstract

Importance: Increasing evidence suggests an important role of liver function in the pathophysiology of Alzheimer disease (AD). The liver is a major metabolic hub; therefore, investigating the association of liver function with AD, cognition, neuroimaging, and CSF biomarkers would improve the understanding of the role of metabolic dysfunction in AD. Objective: To examine whether liver function markers are associated with cognitive dysfunction and the "A/T/N" (amyloid, tau, and neurodegeneration) biomarkers for AD. Design, Setting, and Participants: In this cohort study, serum-based liver function markers were measured from September 1, 2005, to August 31, 2013, in 1581 AD Neuroimaging Initiative participants along with cognitive measures, cerebrospinal fluid (CSF) biomarkers, brain atrophy, brain glucose metabolism, and amyloid-β accumulation. Associations of liver function markers with AD-associated clinical and A/T/N biomarkers were assessed using generalized linear models adjusted for confounding variables and multiple comparisons. Statistical analysis was performed from November 1, 2017, to February 28, 2019. Exposures: Five serum-based liver function markers (total bilirubin, albumin, alkaline phosphatase, alanine aminotransferase, and aspartate aminotransferase) from AD Neuroimaging Initiative participants were used as exposure variables. Main Outcomes and Measures: Primary outcomes included diagnosis of AD, composite scores for executive functioning and memory, CSF biomarkers, atrophy measured by magnetic resonance imaging, brain glucose metabolism measured by fludeoxyglucose F 18 (18F) positron emission tomography, and amyloid-β accumulation measured by [18F]florbetapir positron emission tomography. Results: Participants in the AD Neuroimaging Initiative (n = 1581; 697 women and 884 men; mean [SD] age, 73.4 [7.2] years) included 407 cognitively normal older adults, 20 with significant memory concern, 298 with early mild cognitive impairment, 544 with late mild cognitive impairment, and 312 with AD. An elevated aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio and lower levels of ALT were associated with AD diagnosis (AST to ALT ratio: odds ratio, 7.932 [95% CI, 1.673-37.617]; P = .03; ALT: odds ratio, 0.133 [95% CI, 0.042-0.422]; P = .004) and poor cognitive performance (AST to ALT ratio: β [SE], -0.465 [0.180]; P = .02 for memory composite score; β [SE], -0.679 [0.215]; P = .006 for executive function composite score; ALT: β [SE], 0.397 [0.128]; P = .006 for memory composite score; β [SE], 0.637 [0.152]; P < .001 for executive function composite score). Increased AST to ALT ratio values were associated with lower CSF amyloid-β 1-42 levels (β [SE], -0.170 [0.061]; P = .04) and increased amyloid-β deposition (amyloid biomarkers), higher CSF phosphorylated tau181 (β [SE], 0.175 [0.055]; P = .02) (tau biomarkers) and higher CSF total tau levels (β [SE], 0.160 [0.049]; P = .02) and reduced brain glucose metabolism (β [SE], -0.123 [0.042]; P = .03) (neurodegeneration biomarkers). Lower levels of ALT were associated with increased amyloid-β deposition (amyloid biomarkers), and reduced brain glucose metabolism (β [SE], 0.096 [0.030]; P = .02) and greater atrophy (neurodegeneration biomarkers). Conclusions and Relevance: Consistent associations of serum-based liver function markers with cognitive performance and A/T/N biomarkers for AD highlight the involvement of metabolic disturbances in the pathophysiology of AD. Further studies are needed to determine if these associations represent a causative or secondary role. Liver enzyme involvement in AD opens avenues for novel diagnostics and therapeutics.

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 · 10.1001/jamanetworkopen.2019.7978

Cites

10 of 10 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?

  • Evidence has pointed to the liver as a target organ in Alzheimer's due to its role in regulating metabolism and supporting the immune system.

    “Evidence has pointed to the liver as a target organ in Alzheimer’s due to its role in regulating metabolism and supporting the immune system [54–56]”

    From Age, sex and Alzheimer’s disease: a longitudinal study of 3xTg-AD mice reveals sex-specific disease trajectories and inflammatory responses mirrored in postmortem brains from Alzheimer’s patients (2024) · cites this paper as [56]

    The Introduction (page unavailable) links the liver’s metabolic activity to Alzheimer’s disease and says the evidence highlights the liver’s importance in AD pathophysiology. The Conclusions (page unavailable) also report associations between liver-function markers and AD biomarkers. Neither passage establishes the claimed role of the liver in supporting the immune system as a reason to regard it as a target organ in AD. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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: 65

  1. [1]Toledo JB, Arnold M, Kastenmüller G,; Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium Metabolic network failures in Alzheimer’s disease: a biochemical road map. Alzheimers Dement. 2017; 13(9):-. doi: 10.1016/j.jalz.2017.01.020 28341160 PMC5866045 · DOI
  2. [2]Clarke JR, Ribeiro FC, Frozza RL, De Felice FG, Lourenco MV Metabolic dysfunction in Alzheimer’s disease: from basic neurobiology to clinical approaches. J Alzheimers Dis. 2018; 64(s1): S405- S426. doi: 10.3233/JAD-179911 29562518 · DOI
  3. [3]Kapogiannis D, Mattson MP Disrupted energy metabolism and neuronal circuit dysfunction in cognitive impairment and Alzheimer’s disease. Lancet Neurol. 2011; 10(2): 187- 198. doi: 10.1016/S1474-4422(10)70277-5 21147038 PMC3026092 · DOI · Paper page
  4. [4]Craft S The role of metabolic disorders in Alzheimer disease and vascular dementia: two roads converged. Arch Neurol. 2009; 66(3): 300- 305. doi: 10.1001/archneurol.2009.27 19273747 PMC2717716 · DOI · Paper page
  5. [5]Sookoian S, Castaño GO, Scian R, Serum aminotransferases in nonalcoholic fatty liver disease are a signature of liver metabolic perturbations at the amino acid and Krebs cycle level. Am J Clin Nutr. 2016; 103(2): 422- 434. doi: 10.3945/ajcn.115.118695 26791191 · DOI
  6. [6]Sookoian S, Pirola CJ Alanine and aspartate aminotransferase and glutamine-cycling pathway: their roles in pathogenesis of metabolic syndrome. World J Gastroenterol. 2012; 18(29): 3775- 3781. doi: 10.3748/wjg.v18.i29.3775 22876026 PMC3413046 · DOI
  7. [7]Goessling W, Massaro JM, Vasan RS, D’Agostino RB Sr, Ellison RC, Fox CS Aminotransferase levels and 20-year risk of metabolic syndrome, diabetes, and cardiovascular disease. Gastroenterology. 2008; 135(6): 1935- 1944. doi: 10.1053/j.gastro.2008.09.018 19010326 PMC3039001 · DOI
  8. [8]Sattar N, Scherbakova O, Ford I,; West of Scotland Coronary Prevention Study Elevated alanine aminotransferase predicts new-onset type 2 diabetes independently of classical risk factors, metabolic syndrome, and C-reactive protein in the West of Scotland Coronary Prevention Study. Diabetes. 2004; 53(11): 2855- 2860. doi: 10.2337/diabetes.53.11.2855 15504965 · DOI
  9. [9]Santos CY, Snyder PJ, Wu W-C, Zhang M, Echeverria A, Alber J Pathophysiologic relationship between Alzheimer’s disease, cerebrovascular disease, and cardiovascular risk: a review and synthesis. Alzheimers Dement (Amst). 2017; 7: 69- 87. 28275702 PMC5328683
  10. [13]Saykin AJ, Shen L, Yao X,; Alzheimer’s Disease Neuroimaging Initiative Genetic studies of quantitative MCI and AD phenotypes in ADNI: progress, opportunities, and plans. Alzheimers Dement. 2015; 11(7): 792- 814. doi: 10.1016/j.jalz.2015.05.009 26194313 PMC4510473 · DOI
  11. [14]Weiner MW, Veitch DP, Aisen PS,; Alzheimer’s Disease Neuroimaging Initiative Recent publications from the Alzheimer’s Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials. Alzheimers Dement. 2017; 13(4): e1- e85. doi: 10.1016/j.jalz.2016.11.007 28342697 PMC6818723 · DOI
  12. [16]Rattanabannakit C, Risacher SL, Gao S, The Cognitive Change Index as a measure of self and informant perception of cognitive decline: relation to neuropsychological tests. J Alzheimers Dis. 2016; 51(4): 1145- 1155. doi: 10.3233/JAD-150729 26923008 PMC4833578 · DOI
  13. [17]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(7): 939- 944. doi: 10.1212/WNL.34.7.939 6610841 · DOI · Paper page
  14. [18]Aisen PS, Petersen RC, Donohue MC,; Alzheimer’s Disease Neuroimaging Initiative Clinical core of the Alzheimer’s Disease Neuroimaging Initiative: progress and plans. Alzheimers Dement. 2010; 6(3): 239- 246. doi: 10.1016/j.jalz.2010.03.006 20451872 PMC2867843 · DOI
  15. [19]Crane PK, Carle A, Gibbons LE,; Alzheimer’s Disease Neuroimaging Initiative Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Brain Imaging Behav. 2012; 6(4): 502- 516. doi: 10.1007/s11682-012-9186-z 22782295 PMC3806057 · DOI
  16. [20]Gibbons LE, Carle AC, Mackin RS,; Alzheimer’s Disease Neuroimaging Initiative A composite score for executive functioning, validated in Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment. Brain Imaging Behav. 2012; 6(4): 517- 527. doi: 10.1007/s11682-012-9176-1 22644789 PMC3684181 · DOI
  17. [21]Jack CR Jr, Bernstein MA, Borowski BJ,; Alzheimer’s Disease Neuroimaging Initiative Update on the magnetic resonance imaging core of the Alzheimer’s disease neuroimaging initiative. Alzheimers Dement. 2010; 6(3): 212- 220. doi: 10.1016/j.jalz.2010.03.004 20451869 PMC2886577 · DOI
  18. [23]Kim S, Swaminathan S, Inlow M,; Alzheimer’s Disease Neuroimaging Initiative (ADNI) Influence of genetic variation on plasma protein levels in older adults using a multi-analyte panel. PLoS One. 2013; 8(7): e70269. doi: 10.1371/journal.pone.0070269 23894628 PMC3720913 · DOI
  19. [24]Nho K, Corneveaux JJ, Kim S,; Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study; AddNeuroMed Consortium; Indiana Memory and Aging Study; Alzheimer’s Disease Neuroimaging Initiative (ADNI) Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment. Mol Psychiatry. 2013; 18(7): 781- 787. doi: 10.1038/mp.2013.24 23608917 PMC3777294 · DOI
  20. [25]Nho K, Kim S, Risacher SL,; MIRAGE (Multi-Institutional Research on Alzheimer Genetic Epidemiology) Study; AddNeuroMed Consortium; Indiana Memory and Aging Study; Alzheimer’s Disease Neuroimaging Initiative Protective variant for hippocampal atrophy identified by whole exome sequencing. Ann Neurol. 2015; 77(3): 547- 552. doi: 10.1002/ana.24349 25559091 PMC4387567 · DOI
  21. [26]Fischl B, Sereno MI, Dale AM Cortical surface-based analysis, II: inflation, flattening, and a surface-based coordinate system. Neuroimage. 1999; 9(2): 195- 207. doi: 10.1006/nimg.1998.0396 9931269 · DOI · Paper page
  22. [27]Dale AM, Fischl B, Sereno MI Cortical surface-based analysis, I: segmentation and surface reconstruction. Neuroimage. 1999; 9(2): 179- 194. doi: 10.1006/nimg.1998.0395 9931268 · DOI · Paper page
  23. [28]Chung MK, Worsley KJ, Nacewicz BM, Dalton KM, Davidson RJ General multivariate linear modeling of surface shapes using SurfStat. Neuroimage. 2010; 53(2): 491- 505. doi: 10.1016/j.neuroimage.2010.06.032 20620211 PMC3056984 · DOI
  24. [29]Risacher SL, Kim S, Nho K,; Alzheimer’s Disease Neuroimaging Initiative (ADNI) APOE effect on Alzheimer’s disease biomarkers in older adults with significant memory concern. Alzheimers Dement. 2015; 11(12): 1417- 1429. doi: 10.1016/j.jalz.2015.03.003 25960448 PMC4637003 · DOI
  25. [32]Noble KG, Grieve SM, Korgaonkar MS, Hippocampal volume varies with educational attainment across the life-span. Front Hum Neurosci. 2012; 6: 307. doi: 10.3389/fnhum.2012.00307 23162453 PMC3494123 · DOI
  26. [35]Hagler DJ Jr, Saygin AP, Sereno MI Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage. 2006; 33(4): 1093- 1103. doi: 10.1016/j.neuroimage.2006.07.036 17011792 PMC1785301 · DOI · Paper page
  27. [36]Hayasaka S, Phan KL, Liberzon I, Worsley KJ, Nichols TE Nonstationary cluster-size inference with random field and permutation methods. Neuroimage. 2004; 22(2): 676- 687. doi: 10.1016/j.neuroimage.2004.01.041 15193596 · DOI
  28. [37]Worsley KJ, Taylor JE, Tomaiuolo F, Lerch J Unified univariate and multivariate random field theory. Neuroimage. 2004; 23(suppl 1): S189- S195. doi: 10.1016/j.neuroimage.2004.07.026 15501088 · DOI · Paper page
  29. [38]Benjamini Y, Hochberg Y Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methdol. 1995; 57(1): 289- 300. doi: 10.2307/2346101 · DOI
  30. [39]Jack CR Jr, Bennett DA, Blennow K, NIA-AA research framework: towards a biological definition of Alzheimer's disease. Paper presented at: Alzheimer's Association International Conference; November 27, 2017; London, England.
  31. [40]Giambattistelli F, Bucossi S, Salustri C, Effects of hemochromatosis and transferrin gene mutations on iron dyshomeostasis, liver dysfunction and on the risk of Alzheimer’s disease. Neurobiol Aging. 2012; 33(8): 1633- 1641. doi: 10.1016/j.neurobiolaging.2011.03.005 21514009 · DOI
  32. [41]Pietzner M, Budde K, Homuth G, Hepatic steatosis is associated with adverse molecular signatures in subjects without diabetes. J Clin Endocrinol Metab. 2018; 103(10): 3856- 3868. doi: 10.1210/jc.2018-00999 30060179 · DOI
  33. [42]Varma VR, Oommen AM, Varma S, Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: a targeted metabolomics study. PLoS Med. 2018; 15(1): e1002482. doi: 10.1371/journal.pmed.1002482 29370177 PMC5784884 · DOI
  34. [43]Kaddurah-Daouk R, Doraiswamy PM, Zhu H, Alterations in metabolic pathways and networks in mild cognitive impairment and early Alzheimer’s disease. Alzheimers Dement. 2013; 9(4)(suppl): P571. doi: 10.1016/j.jalz.2013.05.1126 · DOI
  35. [44]Kaddurah-Daouk R, Rozen S, Matson W, Metabolomic changes in autopsy-confirmed Alzheimer’s disease. Alzheimers Dement. 2011; 7(3): 309- 317. doi: 10.1016/j.jalz.2010.06.001 21075060 PMC3061205 · DOI
  36. [45]Botros M, Sikaris KA The de ritis ratio: the test of time. Clin Biochem Rev. 2013; 34(3): 117- 130. 24353357 PMC3866949
  37. [46]Mosconi L, Sorbi S, de Leon MJ, Hypometabolism exceeds atrophy in presymptomatic early-onset familial Alzheimer’s disease. J Nucl Med. 2006; 47(11): 1778- 1786. 17079810
  38. [47]Drzezga A, Lautenschlager N, Siebner H, Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer’s disease: a PET follow-up study. Eur J Nucl Med Mol Imaging. 2003; 30(8): 1104- 1113. doi: 10.1007/s00259-003-1194-1 12764551 · DOI
  39. [48]Rui L Energy metabolism in the liver. Compr Physiol. 2014; 4(1): 177- 197. doi: 10.1002/cphy.c130024 24692138 PMC4050641 · DOI
  40. [49]Ellinger JJ, Lewis IA, Markley JL Role of aminotransferases in glutamate metabolism of human erythrocytes. J Biomol NMR. 2011; 49(3-4): 221- 229. doi: 10.1007/s10858-011-9481-9 21380856 PMC3081430 · DOI
  41. [50]Qian K, Zhong S, Xie K, Yu D, Yang R, Gong D-W Hepatic ALT isoenzymes are elevated in gluconeogenic conditions including diabetes and suppressed by insulin at the protein level. Diabetes Metab Res Rev. 2015; 31(6): 562- 571. doi: 10.1002/dmrr.2655 25865565 PMC4696510 · DOI
  42. [51]Reis HJ, Guatimosim C, Paquet M, Neuro-transmitters in the central nervous system & their implication in learning and memory processes. Curr Med Chem. 2009; 16(7): 796- 840. doi: 10.2174/092986709787549271 19275596 · DOI
  43. [52]Fleck MW, Henze DA, Barrionuevo G, Palmer AM Aspartate and glutamate mediate excitatory synaptic transmission in area CA1 of the hippocampus. J Neurosci. 1993; 13(9): 3944- 3955. doi: 10.1523/JNEUROSCI.13-09-03944.1993 7690067 PMC6576443 · DOI
  44. [53]Francis PT Glutamatergic systems in Alzheimer’s disease. Int J Geriatr Psychiatry. 2003; 18(suppl 1): S15- S21. doi: 10.1002/gps.934 12973746 · DOI
  45. [54]Kamada Y, Hashimoto R, Yamamori H, Impact of plasma transaminase levels on the peripheral blood glutamate levels and memory functions in healthy subjects. BBA Clin. 2016; 5: 101- 107. doi: 10.1016/j.bbacli.2016.02.004 27051595 PMC4802405 · DOI
  46. [55]Alfredsson G, Wiesel FA, Tylec A Relationships between glutamate and monoamine metabolites in cerebrospinal fluid and serum in healthy volunteers. Biol Psychiatry. 1988; 23(7): 689- 697. doi: 10.1016/0006-3223(88)90052-2 2453224 · DOI
  47. [56]Wang G, Zhou Y, Huang FJ, Plasma metabolite profiles of Alzheimer’s disease and mild cognitive impairment. J Proteome Res. 2014; 13(5): 2649- 2658. doi: 10.1021/pr5000895 24694177 · DOI
  48. [57]Lowe SL, Bowen DM, Francis PT, Neary D Ante mortem cerebral amino acid concentrations indicate selective degeneration of glutamate-enriched neurons in Alzheimer’s disease. Neuroscience. 1990; 38(3): 571- 577. doi: 10.1016/0306-4522(90)90051-5 1980143 · DOI
  49. [59]Procter AW, Palmer AM, Francis PT, Evidence of glutamatergic denervation and possible abnormal metabolism in Alzheimer’s disease. J Neurochem. 1988; 50(3): 790- 802. doi: 10.1111/j.1471-4159.1988.tb02983.x 3339353 · DOI
  50. [60]Liu Z, Ning H, Que S, Wang L, Qin X, Peng T Complex association between alanine aminotransferase activity and mortality in general population: a systematic review and meta-analysis of prospective studies. PLoS One. 2014; 9(3): e91410. doi: 10.1371/journal.pone.0091410 24633141 PMC3954728 · DOI
  51. [61]Peltz-Sinvani N, Klempfner R, Ramaty E, Sela BA, Goldenberg I, Segal G Low ALT levels independently associated with 22-year all-cause mortality among coronary heart disease patients. J Gen Intern Med. 2016; 31(2): 209- 214. doi: 10.1007/s11606-015-3480-6 26245731 PMC4720656 · DOI
  52. [62]Vespasiani-Gentilucci U, De Vincentis A, Ferrucci L, Bandinelli S, Antonelli Incalzi R, Picardi A Low alanine aminotransferase levels in the elderly population: frailty, disability, sarcopenia, and reduced survival. J Gerontol A Biol Sci Med Sci. 2018; 73(7): 925- 930. doi: 10.1093/gerona/glx126 28633440 PMC6001897 · DOI
  53. [63]Elinav E, Ben-Dov IZ, Ackerman E, Correlation between serum alanine aminotransferase activity and age: an inverted U curve pattern. Am J Gastroenterol. 2005; 100(10): 2201- 2204. doi: 10.1111/j.1572-0241.2005.41822.x 16181369 · DOI
  54. [66]Katsiki N, Perez-Martinez P, Anagnostis P, Mikhailidis DP, Karagiannis A Is nonalcoholic fatty liver disease indeed the hepatic manifestation of metabolic syndrome? Curr Vasc Pharmacol. 2018; 16(3): 219- 227. doi: 10.2174/1570161115666170621075619 28669328 · DOI
  55. [68]Bedogni G, Gastaldelli A, Tiribelli C, Relationship between glucose metabolism and non-alcoholic fatty liver disease severity in morbidly obese women. J Endocrinol Invest. 2014; 37(8): 739- 744. doi: 10.1007/s40618-014-0101-x 24906975 · DOI
  56. [69]Perla FM, Prelati M, Lavorato M, Visicchio D, Anania C The role of lipid and lipoprotein metabolism in non-alcoholic fatty liver disease. Children (Basel). 2017; 4(6): E46. 28587303 PMC5483621
  57. [70]Kellett KAB, Williams J, Vardy ER, Smith AD, Hooper NM Plasma alkaline phosphatase is elevated in Alzheimer’s disease and inversely correlates with cognitive function. Int J Mol Epidemiol Genet. 2011; 2(2): 114- 121. 21686125 PMC3110385
  58. [71]Moss DW Physicochemical and pathophysiological factors in the release of membrane-bound alkaline phosphatase from cells. Clin Chim Acta. 1997; 257(1): 133- 140. doi: 10.1016/S0009-8981(96)06438-8 9028630 · DOI
  59. [72]Goldstein DJ, Rogers CE, Harris H Expression of alkaline phosphatase loci in mammalian tissues. Proc Natl Acad Sci U S A. 1980; 77(5): 2857- 2860. doi: 10.1073/pnas.77.5.2857 6930672 PMC349504 · DOI
  60. [73]Fonta C, Négyessy L, Renaud L, Barone P Areal and subcellular localization of the ubiquitous alkaline phosphatase in the primate cerebral cortex: evidence for a role in neurotransmission. Cereb Cortex. 2004; 14(6): 595- 609. doi: 10.1093/cercor/bhh021 15054075 · DOI
  61. [74]Waymire KG, Mahuren JD, Jaje JM, Guilarte TR, Coburn SP, MacGregor GR Mice lacking tissue non-specific alkaline phosphatase die from seizures due to defective metabolism of vitamin B-6. Nat Genet. 1995; 11(1): 45- 51. doi: 10.1038/ng0995-45 7550313 · DOI
  62. [75]Narisawa S, Wennberg C, Millán JL Abnormal vitamin B6 metabolism in alkaline phosphatase knock-out mice causes multiple abnormalities, but not the impaired bone mineralization. J Pathol. 2001; 193(1): 125- 133. doi: 10.1002/1096-9896(2000)9999:9999<::AID-PATH722>3.0.CO;2-Y 11169525 · DOI
  63. [76]Langer D, Ikehara Y, Takebayashi H, Hawkes R, Zimmermann H The ectonucleotidases alkaline phosphatase and nucleoside triphosphate diphosphohydrolase 2 are associated with subsets of progenitor cell populations in the mouse embryonic, postnatal and adult neurogenic zones. Neuroscience. 2007; 150(4): 863- 879. doi: 10.1016/j.neuroscience.2007.07.064 18031938 · DOI
  64. [77]Yamashita M, Sasaki M, Mii K, Measurement of serum alkaline phosphatase isozyme I in brain-damaged patients. Neurol Med Chir (Tokyo). 1989; 29(11): 995- 998. doi: 10.2176/nmc.29.995 2483867 · DOI
  65. [78]Gjerde H, Amundsen A, Skog O-J, Mørland J, Aasland OG Serum gamma-glutamyltransferase: an epidemiological indicator of alcohol consumption? Br J Addict. 1987; 82(9): 1027- 1031. doi: 10.1111/j.1360-0443.1987.tb01564.x 2890368 · DOI

Cited by

Sorted by citations

Authors
Nho, K., Kueider-Paisley, A., Ahmad, S., MahmoudianDehkordi, S., Arnold, M., Risacher, S. L., Louie, G., Blach, C., Baillie, R., Han, X., Kastenmüller, G., Trojanowski, J. Q., Shaw, L. M., Weiner, M. W., Doraiswamy, P. M., van Duijn, C., Saykin, A. J., Kaddurah-Daouk, R., & for the Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium
Affiliations
  • Indiana University Indianapolis (US)
  • Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
  • Erasmus MC (NL)
  • Duke University (US)
  • Rosa (United States) (US)
  • The University of Texas at San Antonio Health Science Center (US)
  • Helmholtz Munich (DE)
  • University of Pennsylvania (US)
  • San Francisco VA Medical Center (US)
  • Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
Corresponding author
  • Saykin, Andrew J.
  • Kaddurah-Daouk, Rima
Venue
JAMA Network Open
Published
2019-07-31
Volume
2
Issue
7
Pages
e197978
ISSN
2574-3805 (ISSN-L)
OpenAlex
W2966029669
Cited by
227
References
10
Citations by year
2026: 24 · 2025: 31 · 2024: 43 · 2023: 38 · 2022: 44 · 2021: 26 · 2020: 21
FWCI
17.75
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JAMA Network Open (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
  • RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
  • Site cant be reached (submittedVersion, cc-by)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, cc-by)
  • PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion, cc-by)
  • RePub (Erasmus University Rotterdam) (submittedVersion)
  • IUScholarWorks (Indiana University) (submittedVersion, cc-by-nc)
  • Purdue University Indianapolis (Indiana University) (submittedVersion, cc-by-nc)
  • PMC
Funders
  • U.S. Department of Defense (U01 AG024904, W81XWH, W81XWH-12-2-, W81XWH1220012, AG024904)
  • Foundation for the National Institutes of Health (W81XWH-12-2-0012, R01LM012535, U01AG024904, AG024904)
  • Alzheimer's Association (U01 AG024904, W81XWH-12-2-0012)
  • Bristol-Myers Squibb (U01 AG024904, AG024904, W81XWH-12-2-0012)
  • Eli Lilly and Company (U01 AG024904, AG024904, W81XWH-12-2-0012)
  • Pfizer (AG024904, W81XWH-12-2-0012, U01 AG024904)
  • Brigham and Women's Hospital
  • Biogen (W81XWH-12-2-0012, U01 AG024904, AG024904)
  • University of Southern California (W81XWH-12-2-0012, U01 AG024904)
  • Brown University
  • University of Pennsylvania
  • F. Hoffmann-La Roche (W81XWH-12-2-0012, AG024904, U01 AG024904)
  • Meso Scale Diagnostics (U01 AG024904, AG024904, W81XWH-12-2-0012)
  • Northwestern University
  • Washington University in St. Louis
  • Yeshiva University
  • Alzheimer's Disease Neuroimaging Initiative (W81XWH-12-2–0012, U01AG024904, AG024904, W81XWH-12-2-)
  • BioClinica (U01 AG024904, W81XWH-12-2-0012, AG024904)
  • University of Washington
  • Johns Hopkins University
  • University of Pittsburgh
  • University of Rochester
  • Rush University
  • Northern California Institute for Research and Education (U01 AG024904, W81XWH-12-2-0012)
  • York University
  • Eisai (W81XWH-12-2-0012, U01 AG024904, AG024904)
  • Servier (AG024904, W81XWH-12-2-0012, U01 AG024904)
  • H. Lundbeck A/S (U01 AG024904, AG024904, W81XWH-12-2-0012)
  • IXICO (AG024904, W81XWH-12-2-0012, U01 AG024904)
  • National Institutes of Health (3u01ag024904-10s2, W81XWH, W81XWH-12-2-0012, U01-AG024904, AG024904)
  • Genentech (W81XWH-12-2-0012, AG024904, U01 AG024904)
  • University of California, Los Angeles
  • Albert Einstein College of Medicine, Yeshiva University
  • University of California, San Diego
  • University of California, Irvine
  • Medical Center, University of Rochester
  • Canadian Institutes of Health Research (U01 AG024904, W81XWH-12-2-0012)
  • National Institute on Aging (U01-AG-024904, P30AG010133, W81XWH-12-2–0012, K01AG049050, AG 024904, RF1 AG0151550, U01AG024904-09S4, P30AG010124, RF1AG051550, R01AG019771, R01AG046171, R03AG054936)
  • National Institute of Mental Health (U01 AG024904, W81XWH-12-2-0012)
  • National Institute of Neurological Disorders and Stroke (P50NS053488)
  • National Institute of Biomedical Imaging and Bioengineering (W81XWH-12-2-0012, R01EB022574, U01 AG024904, AG024904)
  • U.S. National Library of Medicine (R01LM011360, R01LM012535)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords
Alzheimer's disease, liver function markers, liver enzymes, aspartate aminotransferase to alanine aminotransferase ratio, alanine aminotransferase, cerebrospinal fluid biomarkers, amyloid-beta, tau protein, neurodegeneration, brain atrophy, brain glucose metabolism, cognitive impairment, metabolic dysfunction, older adults
MeSH terms
Aged, Alanine Transaminase, Alkaline Phosphatase, Alzheimer Disease, Aspartate Aminotransferases, Bilirubin, Cognition, Female, Humans, Liver Function Tests, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Serum Albumin, Reproducibility of Results, Cohort Studies, Biomarkers, Fluorodeoxyglucose F18, Positron-Emission Tomography, Neuroimaging, Cognitive Dysfunction

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