Uddin M.S., Tewari D., Mamun A.A., Kabir M.T., Niaz K., Wahed M.II, Barreto G.E., Ashraf G.M. 2020. Circadian and sleep dysfunction in Alzheimer’s disease. Ageing Res. Rev. 60, 101046. https://doi.org/10.1016/j.arr.2020.101046

Article  PubMed  Google Scholar 

Forstmeier S., Maercker A., Maier W., van den Bussche H., Riedel-Heller S., Kaduszkiewicz H., Pentzek M., Weyerer S., Bickel H., Tebarth F., Luppa M., Wollny A., Wiese B., Wagner M.; AgeCoDe Study Group. 2012. Motivational reserve: Motivation-related occupational abilities and risk of mild cognitive impairment and Alzheimer disease. Psychol. Aging. 27 (2), 353–363. https://doi.org/10.1037/a0025117

Article  PubMed  Google Scholar 

Uliassi E., Pasieka A.M., Diamanti E., Bolognesi M.L. 2025. Overcoming the challenges of multi-target-directed ligands for Alzheimer’s disease. In Polypharmacology: Strategies for Multi-Target Drug Discovery. Jens-Uwe P. Ed. 14, 193–201. https://doi.org/10.1002/9781394182862.ch14

Oakley H., Cole S.L., Logan S., Maus E., Shao P., Craft J., Guillozet-Bongaarts A., Ohno M., Disterhoft J., Van Eldik L., Berry R., Vassar R. 2006. Intraneuronal beta-amyloid aggregates, neurodegeneration, and neuron loss in transgenic mice with five familial Alzheimer’s disease mutations: Potential factors in amyloid plaque formation. J. Neurosci. 26 (40), 10129–10140. https://doi.org/10.1523/JNEUROSCI.1202-06.2006

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kapogiannis D., Mattson M.P. 2011. Disrupted energy metabolism and neuronal circuit dysfunction in cognitive impairment and Alzheimer’s disease. Lancet Neurol. 10 (2), 187–198. https://doi.org/10.1016/S1474-4422(10)70277-5

Article  CAS  PubMed  Google Scholar 

Arbizu J., Festari C., Altomare D., Walker Z., Bouwman F., Rivolta J., Orini S., Barthel H., Agosta F., Drzezga A., Nestor P., Boccardi M., Frisoni G.B., Nobili F; EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders. 2018. Clinical utility of FDG-PET for the clinical diagnosis in MCI. Eur. J. Nucl. Med. Mol. Imaging. 45 (9), 1497–1508. https://doi.org/10.1007/s00259-018-4039-7

Article  CAS  PubMed  Google Scholar 

Sorensen A., Blazhenets G., Rucker G., Schiller F., Meyer P.T., Frings L.; Alzheimer’s Disease Neuroimaging Initiative. 2019. Prognosis of conversion of mild cognitive impairment to Alzheimer’s dementia by voxel-wise Cox regression based on FDG PET data. Neuroimage: Clin. 21, 101637. https://doi.org/10.1016/j.nicl.2018.101637

Article  PubMed  Google Scholar 

Moneim A.E. 2015. Oxidant/antioxidant imbalance and the risk of Alzheimer’s disease. Curr. Alzheimer Res. 12 (4), 335–349. https://doi.org/10.2174/1567205012666150325182702

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jack C.R. Jr., Wiste H.J., Weigand S.D., Knopman D.S., Lowe V., Vemuri P., Mielke M.M., Jones D.T., Senjem M.L., Gunter J.L., Gregg B.E., Pankratz V.S., Petersen R.C. 2013. Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity. Neurology. 81 (20), 1732–1740. https://doi.org/10.1212/01.wnl.0000435556.21319.e4

Article  CAS  PubMed  PubMed Central  Google Scholar 

Filippini N., MacIntosh B.J., Hough M.G., Goodwin G.M., Frisoni G.B., Smith S.M., Matthews P.M., Beckmann C.F., Mackay C.E. 2009. Distinct patterns of brain activity in young carriers of the APOE-ε4 allele. Proc. Natl. Acad. Sci. U. S. A. 106 (17), 7209–7214. https://doi.org/10.1073/pnas.0811879106

Article  PubMed  PubMed Central  Google Scholar 

Jagust W.J., Landau S.M., Alzheimer’s Disease Neuroimaging Initiative. 2012. Apolipoprotein E, not fibrillar β-amyloid, reduces cerebral glucose metabolism in normal aging. J. Neurosci. 32 (50), 18227–18233. https://doi.org/10.1523/JNEUROSCI.3266-12.2012

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sharma N., Banerjee R., Davis R.L. 2023. Early mitochondrial defects in the 5xFAD mouse model of Alzheimer’s disease. J. Alzheimer’s Dis. 91 (4), 1323–1338. https://doi.org/10.3233/JAD-220884

Article  CAS  Google Scholar 

Wang L., Guo L., Lu L., Sun H., Shao M., Beck S.J., Li L., Ramachandran J., Du Y., Du H. 2016. Synaptosomal mitochondrial dysfunction in 5xFAD mouse model of Alzheimer’s disease. PLoS One. 11 (3), e0150441. https://doi.org/10.1371/journal.pone.0150441

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pádua M.S., Guil-Guerrero J.L., Lopes P.A. 2024. Behaviour hallmarks in Alzheimer’s disease 5xFAD mouse model. Int. J. Mol. Sci. 25 (12), 6766. https://doi.org/10.3390/ijms25126766

Article  PubMed  PubMed Central  Google Scholar 

Zhong M.Z., Peng T., Duarte M.L., Wang M., Cai D. 2024. Updates on mouse models of Alzheimer’s disease. Mol. Neurodegener. 19 (1), 23. https://doi.org/10.1186/s13024-024-00712-0

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ardestani P.M., Evans A.K., Yi B., Nguyen T., Coutellier L., Shamloo M. 2017. Modulation of neuroinflammation and pathology in the 5XFAD mouse model of Alzheimer’s disease using a biased and selective beta-1 adrenergic receptor partial agonist. Neuropharmacology. 116, 371–386. https://doi.org/10.1016/j.neuropharm.2017.01.010

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sun Y., Guo Y., Feng X., Jia M., Ai N., Dong Y., Zheng Y., Fu L., Yu B., Zhang H., Wu J., Yu X., Wu H., Kong W. 2020. The behavioural and neuropathologic sexual dimorphism and absence of MIP-3α in tau P301S mouse model of Alzheimer’s disease. J. Neuroinflammation. 17 (1), 72. https://doi.org/10.1186/s12974-020-01749-w

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sil A., Erfani A., Lamb N., Copland R., Riedel G., Platt B. 2022. Sex differences in behavior and molecular pathology in the 5XFAD model. J. Alzheimer’s Dis. 85 (2), 755–778. https://doi.org/10.3233/JAD-210523

Article  CAS  Google Scholar 

Yenkoyan K.B., Kotova M.M., Apukhtin K.V., Galstyan D.S., Amstislavskaya T.G., Strekalova T., de Abreu M.S., Chavushyan V.A., Lim L.W., Yang L., Rosemberg D.D., Kalueff A.V. 2025. Experimental modeling of Alzheimer’s disease: translational lessons from cross-taxon analyses. Alzheimer's Dementia, 21 (5), e70273. https://doi.org/10.1002/alz.70273

Article  PubMed  PubMed Central  Google Scholar 

Shimomura K. 2020. 0103 novel prebiotic enhances sleep-wake cycle and memory consolidation in 5xFAD mice. Sleep. 43 (Suppl. 1), A41. https://doi.org/10.1093/sleep/zsaa056.101

Article  Google Scholar 

Li P., Hu K. 2023. Circadian disturbances and age-related disorders. Adv. Biol. 7 (11), e2300405. https://doi.org/10.1002/adbi.202300405

Article  Google Scholar 

Agorastos A., Vasiliadis M., Chrousos G.P. 2024. The human circadian system: Physiology, pathophysiology and interactions with sleep and stress reactivity. Psychiatriki. 35 (2), 142–155. https://doi.org/10.22365/jpsych.2023.016

Article  PubMed  Google Scholar 

Liang J. 2023. A day in the life of Mus musculus: homecage behavioural analysis of a mouse model of Alzheimer disease. Thesis. Faculty of Arts and Science, University of Lethbridge (Canada). https://hdl.handle.net/10133/6730

Google Scholar 

Salikhova D., Bukharova T., Cherkashova E., Namestnikova D., Leonov G., Nikitina M., Gubskiy I., Akopyan G., Elchaninov A., Midiber K., Bulatenco N., Mokrousova V., Makarov A., Yarygin K., Chekhonin V., Mikhaleva L., Fatkhudinov T., Goldshtein D. 2021. Therapeutic effects of hiPSC-derived glial and neuronal progenitor cells-conditioned medium in experimental ischemic stroke in rats. Int. J. Mol. Sci. 22 (9), 4694. https://doi.org/10.3390/ijms22094694

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nebogatikov V.O., Salikhova D.I., Belousova E.V., Bronovitsky E.V., Orlova E.A., Lapshina M.A., Goldshtein D.V., Ustyugov A.A. 2024. Safety of a medicinal product based on human glial progenitor cells: A pilot study of retrobulbar administration in C57BL/6J mice. Regul. Issled. Ekspert. Lek. Sredstv. 14 (6), 720‒732. https://doi.org/10.30895/1991-2919-2024-650

Rogers G.W., Brand M.D., Petrosyan S., Ashok D., Elorza A.A., Ferrick D.A., Murphy A.N. 2011. High throughput microplate respiratory measurements using minimal quantities of isolated mitochondria. PLoS One. 6 (7), e21746. https://doi.org/10.1371/journal.pone.0021746

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wildi O. 2018. Evaluating the predictive power of ordination methods in ecological context. Mathematics. 6 (12), 295. https://doi.org/10.3390/math6120295

Article  Google Scholar 

Files B.T., Lawhern V.J., Ries A.J., Marathe A.R. 2016. A permutation test for unbalanced paired comparisons of global field power. Brain Topogr. 29 (3), 345–357. https://doi.org/10.1007/s10548-016-0477-3

Article  PubMed  PubMed Central  Google Scholar 

An J., Zhou Y., Zhang M., Xie Y., Ke S., Liu L., Pan X., Chen Z. 2019. Exenatide alleviates mitochondrial dysfunction and cognitive impairment in the 5xFAD mouse model of Alzheimer’s disease. Behav. Brain Res.