Journal of Internal Medicine Concepts & Practice ›› 2023, Vol. 18 ›› Issue (06): 447-450.doi: 10.16138/j.1673-6087.2023.06.013
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YAO Minyi, LIU Yonglin(
)
Received:2023-04-21
Online:2023-12-18
Published:2024-03-18
CLC Number:
YAO Minyi, LIU Yonglin. Current status and research progress of subjective cognitive decline in Alzheimer’s disease of preclinical stage[J]. Journal of Internal Medicine Concepts & Practice, 2023, 18(06): 447-450.
| [1] |
Wang J, Wang K, Liu T, et al. Abnormal dynamic functional networks in subjective cognitive decline and Alzheimer’s disease[J]. Front Comput Neurosci, 2022, 16: 885126.
doi: 10.3389/fncom.2022.885126 URL |
| [2] |
Atri A. The Alzheimer’s disease clinical spectrum[J]. Med Clin North Am, 2019, 103(2): 263-293.
doi: 10.1016/j.mcna.2018.10.009 URL |
| [3] |
Wang X, Huang W, Su L, et al. Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease[J]. Mol Neurodegener, 2020, 15(1):55.
doi: 10.1186/s13024-020-00395-3 |
| [4] |
Jessen F, Amariglio RE, Buckley RF, et al. The characterisation of subjective cognitive decline[J]. Lancet Neurol, 2020, 19(3): 271-278.
doi: S1474-4422(19)30368-0 pmid: 31958406 |
| [5] |
Jack CR Jr, Bennett DA, Blennow K, et al. NIA-AA research framework: toward a biological definition of Alzheimer’s disease[J]. Alzheimers Dement, 2018, 14(4):535-562.
doi: 10.1016/j.jalz.2018.02.018 URL |
| [6] |
Mitchell A J, Beaumont H, Ferguson D, et al. Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis[J]. Acta Psychiatr Scand, 2014, 130(6): 439-451.
doi: 10.1111/acps.2014.130.issue-6 URL |
| [7] |
Slot RER, Sikkes SAM, Berkhof J, et al. Subjective cognitive decline and rates of incident Alzheimer’s disease and non-Alzheimer’s disease dementia[J]. Alzheimers Dement, 2019, 15(3): 465-476.
doi: 10.1016/j.jalz.2018.10.003 URL |
| [8] |
Jia F, Li Y, Li M, et al. Subjective cognitive decline, cognitive reserve indicators, and the incidence of dementia[J]. J Am Med Dir Assoc, 2021, 22(7): 1449-1455.
doi: 10.1016/j.jamda.2020.08.005 pmid: 32967819 |
| [9] |
Oliver MD, Morrison C, Kamal F, et al. Subjective cognitive decline is a better marker for future cognitive decline in females than in males[J]. Alzheimers Res Ther, 2022, 14(1): 197.
doi: 10.1186/s13195-022-01138-w pmid: 36581949 |
| [10] | Ribaldi F, Rolandi E, Vaccaro R, et al. The clinical heterogeneity of subjective cognitive decline: a data-driven approach on a population-based sample[J]. Age Ageing, 2022, 51(10): afac209. |
| [11] |
Scheef L, Grothe MJ, Koppara A, et al. Subregional volume reduction of the cholinergic forebrain in subjective cognitive decline(SCD)[J]. Neuroimage Clin, 2019, 21:101612.
doi: 10.1016/j.nicl.2018.101612 URL |
| [12] |
Zhao W, Wang X, Yin C, et al. Trajectories of the hippocampal subfields atrophy in the Alzheimer’s disease[J]. Front Neuroinform, 2019, 13: 13.
doi: 10.3389/fninf.2019.00013 URL |
| [13] |
Chen Y, Wang Y, Song Z, et al. Abnormal white matter changes in Alzheimer’s disease based on diffusion tensor imaging[J]. Ageing Res Rev, 2023, 87: 101911.
doi: 10.1016/j.arr.2023.101911 URL |
| [14] | Wen Q, Mustafi SM, Li J, et al. White matter alterations in early-stage Alzheimer’s disease[J]. Alzheimers Dement (Amst), 2019, 11:576-587. |
| [15] |
Ryu SY, Lim EY, Na S, et al. Hippocampal and entorhinal structures in subjective memory impairment[J]. Int Psychogeriatr, 2017, 29(5): 785-792.
doi: 10.1017/S1041610216002349 URL |
| [16] |
Brueggen K, Dyrba M, Cardenas-Blanco A, et al. Structural integrity in subjective cognitive decline, mild cognitive impairment and Alzheimer’s disease based on multicenter diffusion tensor imaging[J]. J Neurol, 2019, 266(10): 2465-2474.
doi: 10.1007/s00415-019-09429-3 |
| [17] | Selnes P, Fjell AM, Gjerstad L, et al. White matter imaging changes in subjective and mild cognitive impairment[J]. Alzheimers Dement, 2012, 8(5 Suppl): S112-S121. |
| [18] |
Mohammadian F, Zare Sadeghi A, Noroozian M, et al. Quantitative assessment of resting-state functional connectivity MRI to differentiate amnestic mild cognitive impairment, late-onset Alzheimer’s disease from normal subjects[J]. J Magn Reson Imaging, 2023, 57(6): 1702-1712.
doi: 10.1002/jmri.v57.6 URL |
| [19] |
Kucikova L, Goerdten J, Dounavi ME, et al. Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer’s disease[J]. Neurosci Biobehav Rev, 2021, 129: 142-153.
doi: 10.1016/j.neubiorev.2021.07.024 URL |
| [20] |
Greicius MD, Krasnow B, Reiss AL, et al. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis[J]. Proc Natl Acad Sci U S A, 2003, 100(1): 253-258.
doi: 10.1073/pnas.0135058100 URL |
| [21] | Jobson DD, Hase Y, Clarkson AN, et al. The role of the medial prefrontal cortex in cognition, ageing and dementia[J]. Brain Commun, 2021, 3(3): fcab125. |
| [22] |
Spreng RN, Turner GR. The shifting architecture of cognition and brain function in older adulthood[J]. Perspect Psychol Sci, 2019, 14(4): 523-542.
doi: 10.1177/1745691619827511 pmid: 31013206 |
| [23] |
Sun Y, Dai Z, Li Y, et al. Subjective cognitive decline: mapping functional and structural brain changes-A combined resting-state functional and structural MR imaging study[J]. Radiology, 2016, 281(1): 185-192.
doi: 10.1148/radiol.2016151771 pmid: 27002419 |
| [24] | Yang L, Yan Y, Wang Y, et al. Gradual disturbances of the amplitude of low-frequency fluctuations(ALFF) and fractional ALFF in Alzheimer spectrum[J]. Front Neurosci, 2018, 12: 975. |
| [25] |
Viviano RP, Hayes JM, Pruitt PJ, et al. Aberrant memory system connectivity and working memory performance in subjective cognitive decline[J]. Neuroimage, 2019, 185: 556-564.
doi: S1053-8119(18)31974-8 pmid: 30308246 |
| [26] |
Dillen KNH, Jacobs HIL, Kukolja J, et al. Aberrant functional connectivity differentiates retrosplenial cortex from posterior cingulate cortex in prodromal Alzheimer’s disease[J]. Neurobiol Aging, 2016, 44:114-126.
doi: S0197-4580(16)30037-9 pmid: 27318139 |
| [27] | Mak E, Bethlehem RAI, Romero-Garcia R, et al. In vivo coupling of tau pathology and cortical thinning in Alzheimer’s disease[J]. Alzheimers Dement (Amst), 2018, 10: 678-687. |
| [28] |
Ersoezlue E, Rauchmann BS, Schneider-Axmann T, et al. Lifelong experiences as a proxy of cognitive reserve moderate the association between connectivity and cognition in Alzheimer’s disease[J]. Neurobiol Aging, 2023, 122: 33-44.
doi: 10.1016/j.neurobiolaging.2022.05.015 URL |
| [29] |
Parker AF, Smart CM, Scarapicchia V, et al. Identification of earlier biomarkers for Alzheimer’s disease: a multimodal neuroimaging study of individuals with subjective cognitive decline[J]. J Alzheimers Dis, 2020, 77(3): 1067-1076.
doi: 10.3233/JAD-200299 URL |
| [30] |
Chen H, Sheng X, Luo C, et al. The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline[J]. Transl Neurodegener, 2020, 9(1): 21.
doi: 10.1186/s40035-020-00201-6 pmid: 32460888 |
| [31] |
Bao YW, Shea YF, Chiu PK, et al. The fractional amplitude of low-frequency fluctuations signals related to amyloid uptake in high-risk populations[J]. Front Aging Neurosci, 2022, 14: 956222.
doi: 10.3389/fnagi.2022.956222 URL |
| [32] |
Sharma N, Murari G, Vandermorris S, et al. Functional connectivity between the posterior default mode network and parahippocampal gyrus is disrupted in older adults with subjective cognitive decline and correlates with subjective memory ability[J]. J Alzheimers Dis, 2021, 82(1): 435-445.
doi: 10.3233/JAD-201579 pmid: 34024823 |
| [33] |
Schwarz C, Benson GS, Antonenko D, et al. Negative affective burden is associated with higher resting-state functional connectivity in subjective cognitive decline[J]. Sci Rep, 2022, 12(1): 6212.
doi: 10.1038/s41598-022-10179-y pmid: 35418579 |
| [34] |
Dhiman K, Blennow K, Zetterberg H, et al. Cerebrospinal fluid biomarkers for understanding multiple aspects of Alzheimer’s disease pathogenesis[J]. Cell Mol Life Sci, 2019, 76(10):1833-1863.
doi: 10.1007/s00018-019-03040-5 pmid: 30770953 |
| [35] |
Wen C, Bi YL, Hu H, et al. Association of subjective cognitive decline with cerebrospinal fluid biomarkers of Alzheimer’s disease pathology in cognitively intact older adults[J]. J Alzheimers Dis, 2022, 85(3): 1143-1151.
doi: 10.3233/JAD-215178 URL |
| [36] |
Cicognola C, Hansson O, Scheltens P, et al. Cerebrospinal fluid N-224 tau helps discriminate Alzheimer’s disease from subjective cognitive decline and other dementias[J]. Alzheimers Res Ther, 2021, 13(1): 38.
doi: 10.1186/s13195-020-00756-6 pmid: 33557920 |
| [37] |
Mantzavinos V, Alexiou A. Biomarkers for Alzheimer’s disease diagnosis[J]. Curr Alzheimer Res, 2017, 14(11):1149-1154.
doi: 10.2174/1567205014666170203125942 pmid: 28164766 |
| [38] |
Zetterberg H, Blennow K. Moving fluid biomarkers for Alzheimer’s disease from research tools to routine clinical diagnostics[J]. Mol Neurodegener, 2021, 16(1): 10.
doi: 10.1186/s13024-021-00430-x pmid: 33608044 |
| [39] |
Prins S, Zhuparris A, Groeneveld GJ. Usefulness of plasma amyloid as a prescreener for the earliest Alzheimer pathological changes depends on the study population[J]. Ann Neurol, 2020, 87(1): 154-155.
doi: 10.1002/ana.25634 pmid: 31675127 |
| [40] |
Wang X, Zhao M, Lin L, et al. Plasma β-amyloid levels associated with structural integrity based on diffusion tensor imaging in subjective cognitive decline[J]. Front Aging Neurosci, 2021, 12: 592024.
doi: 10.3389/fnagi.2020.592024 URL |
| [41] |
Müller S, Preische O, GÖpfert JC, et al. Tau plasma levels in subjective cognitive decline: results from the DELCODE study[J]. Sci Rep, 2017, 7(1): 9529.
doi: 10.1038/s41598-017-08779-0 pmid: 28842559 |
| [42] |
Verberk IMW, Thijssen E, Koelewijn J, et al. Combination of plasma amyloid beta(1-42/1-40) and glial fibrillary acidic protein strongly associates with cerebral amyloid pathology[J]. Alzheimers Res Ther, 2020, 12(1): 118.
doi: 10.1186/s13195-020-00682-7 pmid: 32988409 |
| [43] |
Rusek M, Pluta R, Ułamek-Kozioł M, et al. Ketogenic diet in Alzheimer’s disease[J]. Int J Mol Sci, 2019, 20(16):3892.
doi: 10.3390/ijms20163892 URL |
| [44] |
Tao Y, Leng SX, Zhang H. Ketogenic diet: an effective treatment approach for neurodegenerative diseases[J]. Curr Neuropharmacol, 2022, 20(12): 2303-2319.
doi: 10.2174/1570159X20666220830102628 pmid: 36043794 |
| [45] |
Danial NN, Hartman AL, Stafstrom CE, et al. How does the ketogenic diet work?[J]. J Child Neurol, 2013, 28(8): 1027-1033.
doi: 10.1177/0883073813487598 pmid: 23670253 |
| [46] |
Neth BJ, Mintz A, Whitlow C, et al. Modified ketogenic diet is associated with improved cerebrospinal fluid biomarker profile, cerebral perfusion, and cerebral ketone body uptake in older adults at risk for Alzheimer’s disease[J]. Neurobiol Aging, 2020, 86: 54-63.
doi: 10.1016/j.neurobiolaging.2019.09.015 URL |
| [47] |
Chong TWH, Curran E, Ellis KA, et al. Physical activity for older Australians with mild cognitive impairment or subjective cognitive decline[J]. J Sci Med Sport, 2020, 23(10): 913-920.
doi: 10.1016/j.jsams.2020.03.003 URL |
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