|
1
|
Bianchi VE, Herrera PF and Laura R: Effect
of nutrition on neurodegenerative diseases. A systematic review.
Nutr Neurosci. 4:1–25. 2019.(Epub ahead of print). View Article : Google Scholar
|
|
2
|
Arvanitakis Z, Shah RC and Bennett DA:
Diagnosis and management of dementia: Review. JAMA. 322:1589–1599.
2019. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Smedinga M, Tromp K, Schermer MHN and
Richard E: Ethical arguments concerning the use of Alzheimer's
disease biomarkers in individuals with no or mild cognitive
impairment: A systematic review and framework for discussion. J
Alzheimers Dis. 66:1309–1322. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Hampel H, O'Bryant SE, Molinuevo JL,
Zetterberg H, Masters CL, Lista S, Kiddle SJ, Batrla R and Blennow
K: Blood-based biomarkers for Alzheimer disease: Mapping the road
to the clinic. Nat Rev Neurol. 14:639–652. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Molinuevo JL, Ayton S, Batrla R, Bednar
MM, Bittner T, Cummings J, Fagan AM, Hampel H, Mielke MM, Mikulskis
A, et al: Current state of Alzheimer's fluid biomarkers. Acta
Neuropathol. 136:821–853. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Li X, Wang H, Long J, Pan G, He T,
Anichtchik O, Belshaw R, Albani D, Edison P, Green EK and Scott J:
Systematic analysis and biomarker study for Alzheimer's disease.
Sci Rep. 8:173942018. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Gleerup HS, Hasselbalch SG and Simonsen
AH: Biomarkers for Alzheimer's disease in saliva: A systematic
review. Dis Markers. 2019:47610542019. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Quek C and Hill AF: The role of
extracellular vesicles in neurodegenerative diseases. Biochem
Biophys Res Commun. 483:1178–1186. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Liu W, Bai X, Zhang A, Huang J, Xu S and
Zhang J: Role of exosomes in central nervous system diseases. Front
Mol Neurosci. 12:2402019. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Pegtel DM and Gould SJ: Exosomes. Annu Rev
Biochem. 88:487–514. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Zhao Z and Zlokovic BV: Remote control of
BBB: A tale of exosomes and microRNA. Cell Res. 27:849–850. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Matsumoto J, Stewart T, Banks WA and Zhang
J: The transport mechanism of extracellular vesicles at the
blood-brain barrier. Curr Pharm Des. 23:6206–6214. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Yoo YK, Lee J, Kim H, Hwang KS, Yoon DS
and Lee JH: Toward exosome-based neuronal diagnostic devices.
Micromachines (Basel). 9:E6342018. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Si X, Tian J, Chen Y, Yan Y, Pu J and
Zhang B: Central nervous system-derived exosomal alpha-synuclein in
serum may be a biomarker in Parkinson's disease. Neuroscience.
413:308–316. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Hartmann A, Muth C, Dabrowski O, Krasemann
S and Glatzel M: Exosomes and the prion protein: More than one
truth. Front Neurosci. 11:1942017. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Yang TT, Liu CG, Gao SC, Zhang Y and Wang
PC: The serum exosome derived MicroRNA-135a, −193b, and −384 were
potential Alzheimer's disease biomarkers. Biomed Environ Sci.
31:87–96. 2018.PubMed/NCBI
|
|
17
|
Bellingham SA, Guo BB, Coleman BM and Hill
AF: Exosomes: Vehicles for the transfer of toxic proteins
associated with neurodegenerative diseases. Front Physiol.
3:1242012. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Cortini F, Roma F and Villa C: Emerging
roles of long non-coding RNAs in the pathogenesis of Alzheimer's
disease. Ageing Res Rev. 50:19–26. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Luo Q and Chen Y: Long noncoding RNAs and
Alzheimer's disease. Clin Interv Aging. 11:867–872. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Faghihi MA, Modarresi F, Khalil AM, Wood
DE, Sahagan BG, Morgan TE, Finch CE, St Laurent G 3rd, Kenny PJ and
Wahlestedt C: Expression of a noncoding RNA is elevated in
Alzheimer's disease and drives rapid feed-forward regulation of
beta-secretase. Nat Med. 14:723–730. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Ciarlo E, Massone S, Penna I, Nizzari M,
Gigoni A, Dieci G, Russo C, Florio T, Cancedda R and Pagano A: An
intronic ncRNA-dependent regulation of SORL1 expression affecting
Aβ formation is upregulated in post-mortem Alzheimer's disease
brain samples. Dis Model Mech. 6:424–433. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Mus E, Hof PR and Tiedge H: Dendritic
BC200 RNA in aging and in Alzheimer's disease. Proc Natl Acad Sci
USA. 104:10679–10684. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
McKhann GM, Knopman DS, Chertkow H, Hyman
BT, Jack CR Jr, Kawas CH, Klunk WE, Koroshetz WJ, Manly JJ, Mayeux
R, et al: The diagnosis of dementia due to Alzheimer's disease:
Recommendations from the national institute on aging-Alzheimer's
association workgroups on diagnostic guidelines for Alzheimer's
disease. Alzheimers Dement. 7:263–269. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Jack CR Jr, Bennett DA, Blennow K,
Carrillo MC, Dunn B, Haeberlein SB, Holtzman DM, Jagust W, Jessen
F, Karlawish J, et al: NIA-AA research framework: Toward a
biological definition of Alzheimer's disease. Alzheimers Dement.
14:535–562. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Calvini P, Chincarini A, Gemme G, Penco
MA, Squarcia S, Nobili F, Rodriguez G, Bellotti R, Catanzariti E,
Cerello P, et al: Automatic analysis of medial temporal lobe
atrophy from structural MRIs for the early assessment of Alzheimer
disease. Med Phys. 36:3737–3747. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Menéndez-González M, de Celis Alonso B,
Salas-Pacheco J and Arias-Carrión O: Structural neuroimaging of the
medial temporal lobe in Alzheimer's disease clinical trials. J
Alzheimers Dis. 48:581–589. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Juottonen K, Laakso MP, Partanen K and
Soininen H: Comparative MR analysis of the entorhinal cortex and
hippocampus in diagnosing Alzheimer disease. AJNR Am J Neuroradiol.
20:139–144. 1999.PubMed/NCBI
|
|
28
|
Ou YN, Xu W, Li JQ, Guo Y, Cui M, Chen KL,
Huang YY, Dong Q, Tan L and Yu JT; Alzheimer's Disease Neuroimaging
Initiative, : FDG-PET as an independent biomarker for Alzheimer's
biological diagnosis: A longitudinal study. Alzheimers Res Ther.
11:572019. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Pennanen C, Kivipelto M, Tuomainen S,
Hartikainen P, Hänninen T, Laakso MP, Hallikainen M, Vanhanen M,
Nissinen A, Helkala EL, et al: Hippocampus and entorhinal cortex in
mild cognitive impairment and early AD. Neurobiol Aging.
25:303–310. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Kantarci K: Magnetic resonance markers for
early diagnosis and progression of Alzheimer's disease. Expert Rev
Neurother. 5:663–670. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Yu J, Li J and Huang X: The Beijing
version of the montreal cognitive assessment as a brief screening
tool for mild cognitive impairment: A community-based study. BMC
Psychiatry. 12:1562012. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Lu J, Li D, Li F, Zhou A, Wang F, Zuo X,
Jia XF, Song H and Jia J: Montreal cognitive assessment in
detecting cognitive impairment in Chinese elderly individuals: A
population-based study. J Geriatr Psychiatry Neurol. 24:184–190.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Yang Z, Holt HK, Fan JH, Ma L, Liu Y, Chen
W, Como P, Zhang L and Qiao YL: Optimal cutoff scores for
Alzheimer's disease using the Chinese version of mini-mental state
examination among Chinese population living in rural areas. Am J
Alzheimers Dis Other Demen. 31:650–657. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Morris JC: The clinical dementia rating
(CDR): Current version and scoring rules. Neurology. 43:2412–2414.
1993. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Juva K, Sulkava R, Erkinjuntti T, Ylikoski
R, Valvanne J and Tilvis R: Staging the severity of dementia:
Comparison of clinical (CDR, DSM-III-R), functional (ADL, IADL) and
cognitive (MMSE) scales. Acta Neurol Scand. 90:293–298. 1994.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Mulsant BH, Sweet R, Rifai AH, Pasternak
RE, McEachran A and Zubenko GS: The use of the hamilton rating
scale for depression in elderly patients with cognitive impairment
and physical Illness. Am J Geriatr Psychiatry. 2:220–229. 1994.
View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Zhao W, Wang X, Yin C, He M, Li S and Han
Y: Trajectories of the hippocampal subfields atrophy in the
Alzheimer's disease: A structural imaging study. Front Neuroinform.
13:132019. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Zhang X, Lu A, Li Z, Sun J, Dai D and Qian
L: Exosomes secreted by endothelial progenitor cells improve the
bioactivity of pulmonary microvascular endothelial cells exposed to
hyperoxia in vitro. Ann Transl Med. 7:2542019. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Pua HH, Happ HC, Gray CJ, Mar DJ, Chiou
NT, Hesse LE and Ansel KM: Increased hematopoietic extracellular
RNAs and vesicles in the lung during allergic airway responses.
Cell Rep. 26:933–944.e4. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Hannafon BN, Trigoso YD, Calloway CL, Zhao
YD, Lum DH, Welm AL, Zhao ZJ, Blick KE, Dooley WC and Ding WQ:
Plasma exosome microRNAs are indicative of breast cancer. Breast
Cancer Res. 18:902016. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Bachurski D, Schuldner M, Nguyen PH, Malz
A, Reiners KS, Grenzi PC, Babatz F, Schauss AC, Hansen HP, Hallek M
and Pogge von Strandmann E: Extracellular vesicle measurements with
nanoparticle tracking analysis-an accuracy and repeatability
comparison between NanoSight NS300 and ZetaView. J Extracell
Vesicles. 8:15960162019. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Livak KJ and Schmittgen TD: Analysis of
relative gene expression data using real-time quantitative PCR and
the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.
View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Yang ST, Lee JD, Chang TC, Huang CH, Wang
JJ, Hsu WC, Chan HL, Wai YY and Li KY: Discrimination between
Alzheimer's disease and mild cognitive impairment using SOM and
PSO-SVM. Comput Math Methods Med. 2013:2536702013. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Pagnozzi AM, Fripp J and Rose SE:
Quantifying deep grey matter atrophy using automated segmentation
approaches: A systematic review of structural MRI studies.
Neuroimage. 201:1160182019. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Allison SL, Koscik RL, Cary RP, Jonaitis
EM, Rowley HA, Chin NA, Zetterberg H, Blennow K, Carlsson CM,
Asthana S, et al: Comparison of different MRI-based morphometric
estimates for defining neurodegeneration across the Alzheimer's
disease continuum. Neuroimage Clin. 23:1018952019. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Olsson B, Lautner R, Andreasson U, Öhrfelt
A, Portelius E, Bjerke M, Hölttä M, Rosén C, Olsson C, Strobel G,
et al: CSF and blood biomarkers for the diagnosis of Alzheimer's
disease: A systematic review and meta-analysis. Lancet Neurol.
15:673–684. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Fiandaca MS, Kapogiannis D, Mapstone M,
Boxer A, Eitan E, Schwartz JB, Abner EL, Petersen RC, Federoff HJ,
Miller BL and Goetzl EJ: Identification of preclinical Alzheimer's
disease by a profile of pathogenic proteins in neurally derived
blood exosomes: A case-control study. Alzheimers Dement.
11:600–607.e1. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Jia L, Qiu Q, Zhang H, Chu L, Du Y, Zhang
J, Zhou C, Liang F, Shi S, Wang S, et al: Concordance between the
assessment of Aβ42, T-tau, and P-T181-tau in peripheral blood
neuronal-derived exosomes and cerebrospinal fluid. Alzheimers
Dement. 15:1071–1080. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Li F, Wang Y, Yang H, Xu Y, Zhou X, Zhang
X, Xie Z and Bi J: The effect of BACE1-AS on β-amyloid generation
by regulating BACE1 mRNA expression. BMC Mol Biol. 20:232019.
View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Feng L, Liao YT, He JC, Xie CL, Chen SY,
Fan HH, Su ZP and Wang Z: Plasma long non-coding RNA BACE1 as a
novel biomarker for diagnosis of Alzheimer disease. BMC Neurol.
18:42018. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Fotuhi SN, Khalaj-Kondori M, Hoseinpour
Feizi MA and Talebi M: Long non-coding RNA BACE1-AS may serve as an
Alzheimer's disease blood-based biomarker. J Mol Neurosci.
69:351–359. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Anstey KJ, Ashby-Mitchell K and Peters R:
Updating the evidence on the association between serum cholesterol
and risk of late-life dementia: Review and meta-analysis. J
Alzheimers Dis. 56:215–228. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Espinosa Del Pozo PH, Espinosa PS, Donadi
EA, Martinez EZ, Salazar-Uribe JC, Guerrero MA, Moriguti JC, Colcha
MC, Garcia SE, Naranjo R, et al: Cognitive decline in adults aged
65 and older in cumbayá, quito, ecuador: Prevalence and risk
factors. Cureus. 10:e32692018.PubMed/NCBI
|
|
54
|
Kimura A, Sugimoto T, Kitamori K, Saji N,
Niida S, Toba K and Sakurai T: Malnutrition is associated with
behavioral and psychiatric symptoms of dementia in older women with
mild cognitive impairment and early-stage Alzheimer's disease.
Nutrients. 11:E19512019. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Doorduijn AS, van de Rest O, van der Flier
WM, Visser M and de van der Schueren MAE: Energy and protein intake
of Alzheimer's disease patients compared to cognitively normal
controls: Systematic review. J Am Med Dir Assoc. 20:14–21. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Wolters FJ, Zonneveld HI, Licher S,
Cremers LGM; Heart Brain Connection Collaborative Research Group, ;
Ikram MK, Koudstaal PJ, Vernooij MW and Ikram MA: Hemoglobin and
anemia in relation to dementia risk and accompanying changes on
brain MRI. Neurology. 93:e917–917e926. 2019. View Article : Google Scholar : PubMed/NCBI
|
