The DOI matches its Crossref record; 292 of the 293 references it cites were found in a registry or an index.
Alzheimer’s Disease: Exploring the Landscape of Cognitive Decline
Open accessPublished version of a preprint
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. The pathology of AD is marked by the accumulation of amyloid beta plaques and tau protein tangles in the brain, along with neuroinflammation and synaptic dysfunction. Genetic factors, such as mutations in APP, PSEN1, and PSEN2 genes, as well as the APOE ε4 allele, contribute to increased risk of acquiring AD. Currently available treatments provide symptomatic relief but do not halt disease progression. Research efforts are focused on developing disease-modifying therapies that target the underlying pathological mechanisms of AD. Advances in identification and validation of reliable biomarkers for AD hold great promise for enhancing early diagnosis, monitoring disease progression, and assessing treatment response in clinical practice in effort to alleviate the burden of this devastating disease. In this paper, we analyze data from the CAS Content Collection to summarize the research progress in Alzheimer's disease. We examine the publication landscape in effort to provide insights into current knowledge advances and developments. We also review the most discussed and emerging concepts and assess the strategies to combat the disease. We explore the genetic risk factors, pharmacological targets, and comorbid diseases. Finally, we inspect clinical applications of products against AD with their development pipelines and efforts for drug repurposing. The objective of this review is to provide a broad overview of the evolving landscape of current knowledge regarding AD, to outline challenges, and to evaluate growth opportunities to further efforts in combating the disease.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Figures

















Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
RETRACTED: Neuroinflammatory Markers: Key Indicators in the Pathology of Neurodegenerative Diseases
Rauf, A., Badoni, H., Abu‐Izneid, T., Olatunde, A., Rahman, M. M., Painuli, S., Semwal, P., Wilairatana, P., & Mubarak, M. S. (2022) · Molecules · doi:10.3390/molecules27103194 · Cited by 316
RetractedLópez-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
International Journal of Molecular Sciences
Soni, N., Ross, A., Nookaew, I., Scheers, N., Gabrielsson, B., & Sandberg, A.-S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms · Cited by 10,136
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484
Hallmarks of aging: An expanding universe
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2023) · Cell · doi:10.1016/j.cell.2022.11.001 · Cited by 6,549
Lecanemab in early Alzheimer's disease
van Dyck, C. H., Swanson, C. J., Aisen, P., Bateman, R. J., Chen, C., Gee, M., Kanekiyo, M., Li, D., Reyderman, L., Cohen, S., et al. (2023) · New England Journal of Medicine · doi:10.1056/nejmoa2212948 · Cited by 5,678
Glenner, G. G., & Wong, C. W. (1984) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(84)80190-4 · Cited by 5,404
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
Research works printed but not linked: 10
- Alzheimer's Association Report, 2023, Alzheimer’s Dementia, 19, 1598
- Khanahmadi M., 2015, Iran J. Public Health, 44, 892
- Saljoughian M., 2023, U.S. Pharmacist, 48, 22
- Padda, I. S.; Parmar, M. Aducanumab. https://www.ncbi.nlm.nih.gov/books/NBK573062/ (accessed July 27, 2024).
- Howe E., 2008, Psychiatry (Edgmont), 5, 23
- Wolfe, M. S. γ-Secretase and Presenilin. https://www.ncbi.nlm.nih.gov/books/NBK6316/#:~:text=Third%2C%20mutating%20one%20of%20the,Notch%20processing%20differently%20in%20cells.&text=However%2C%20this%20mutation%20does%20inhibit,but%20not%20Notch%20in%20cells.&text=These%20compounds%2C%20however%2C%20do%20not,be%20upstream%20of%20the%20enzyme. (accessed July 27, 2024).
- 10.1038/s41582-019-0244-7 · DOI · Paper page
- Pelletier A. L., 2016, Am. Fam. Physician, 94, 219
- Garcia-Esparcia P., 2017, Am. J. Neurodegener Dis, 6, 15
- Molina E., 2021, Poster Presentation at 14th Clinical Trials on Alzheimer’s Disease (CTAD) Conference Boston, MA, November 9–12
Cited by
Sorted by citations
Items 101–170 of 170
Heterogeneity in diagnostic trajectories of ADNI participants
Winalai, C., Mogharbel, N., & Bicout, D. (2026) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2026.110748
Neurobiological links between Alzheimer’s disease and reward system dysfunction
Harutyunyan, H. S., Minasyan, R., Kalueff, A. V., & Yenkoyan, K. B. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.03.028
Farouk, Y., Nagy, N., Amir, A. M. E., Madbouly, N. A., & El-Khazragy, N. N. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05789-w
Hussain, M., Ikram, M., & Vohora, D. (2026) · Fundamental and Clinical Pharmacology · doi:10.1111/fcp.70079
Li, D., Zhang, Y., Wang, R., Jin, L., Cui, X., Hong, J.-S., Li, S., Zhao, J., & Guo, Y. (2026) · Neurotherapeutics · doi:10.1016/j.neurot.2026.e00899
Pugliese, D., Longo, G., Palma, A. M. D., Rashid, A., Rago, A., & Sciddurlo, G. (2026) · IET Wireless Sensor Systems · doi:10.1049/wss2.70029
Akinsipo, O. B., Badeji, A. A., Adeyemi, K. A., Salami, K. T., & Salami, T. I. (2026) · UMYU Scientifica · doi:10.56919/usci.2651.024
Tang, L., Huang, J., Xia, R., Xu, W., Li, J., & Zhang, M. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106164
Zhu, Y., Zhang, H., Zhang, Z., Song, G., Fu, J., & Wang, H. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.04.024
Alzheimer’s disease: Diagnostic criteria and their evolution
Vorobev, S. V., Emelin, А. Y., Yanishevskiy, S. N., & Tantasheva, A. M. (2026) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro202612604229
Zhou, H., Zhu, J., Cao, Y., & Liang, Q. (2026) · Langmuir · doi:10.1021/acs.langmuir.6c00216 · Cited by 1
Aktar, B. S. K., Karaküçük‐İyidoğan, A., Tatar, G., Oruç‐Emre, E. E., Sıcak, Y., Bakırdöven, A., Turgut‐Solak, Z. D., & Ozturk, M. (2026) · Future Medicinal Chemistry · doi:10.1080/17568919.2026.2665469
Singh, K., Priyadarshi, N., Goyal, B., Singhal, N. K., & Goyal, D. (2026) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.5c00649
Oriquat, G., Ali, A. M., Malathi, H., Ahmad, I. A., Maharana, L., Chauhan, A. S., Arora, V., Purohit, B., & Kumar‐Mishra, M. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05910-z
Alzheimer’s Disease-Associated Cognitive Disabilities
Das, S., & Mishra, P. (2026) · SpringerBriefs in modern perspectives on disability research. · doi:10.1007/978-981-95-7121-5_2
Saxena, P., Kothiyal, P., & Ratan, P. (2026) · Neurological Research · doi:10.1080/01616412.2026.2673060
Circadian rhythm, metabolic stress, and Alzheimer’s disease
Saini, V., Singh, S., Kumar, R., Shahadab, M., & Jha, H. C. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.05.004
Isiguzo, F. O., Ilesanmi, T. M., Egunjobi, G. D., Uhegwu, C. C., & Ijeboi, S. O. (2026) · In Silico Research in Biomedicine · doi:10.1016/j.insi.2026.100404
Risk factors associated with cancer and metabolic encephalopathy in Alzheimer’s disease patients
Pham, D., O’Brien, C., Florez-Bhandari, J., Faulstich, N. G., Ojo, T. K., Aloi, S., Goodwin, R. L., Roley, L. T., Nathaniel, S. I., & Nathaniel, T. I. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1810937
Li, J., Liu, J. K., Zaikin, A. A., Wang, M., & Chen, S. (2026) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00307
Lin, C., & Lane, H. (2026) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-026-02289-9
Muralidhara, M., Vismaya, & Kumar, V. L. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106204
Insulin resistance and obesity: Drivers of energy crisis for Alzheimer’s disease
Singh, P., Vaidya, B., Upadhayay, P., Sharma, S. S., & Datusalia, A. K. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.05.018
Li, Q., Liu, X., Xing, R., Qi, F., Li, X., Wang, K., & Chen, L. (2026) · Biochemical Pharmacology · doi:10.1016/j.bcp.2026.118188
Pathological or preventative? Amyloid-β as an effector of innate immunity
Adesunloro, O. O., Tuckey, A. N., Audia, J. P., & Shea, A. E. (2026) · Infection and Immunity · doi:10.1128/iai.00085-26
Kaur, A., Murthy, S., Bharath Kumar, D. R., Gokulakrishnan, S., Philantharopa, U. P. B., & Narajji, C. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40563-1.00010-7
Islam, S. S. L. K. M. M. (2026) · International Journal of Biosciences (IJB) · doi:10.12692/ijb/28.6.60-67
K. M Monirul Islam, T. S. (2026) · International Journal of Biosciences (IJB) · doi:10.12692/ijb/28.5.117-124
Preeti, Akanksha, & Khurana, N. (2026) · Natural Product Research · doi:10.1080/14786419.2026.2694726
Suo, X., Wan, P., Yu, J., Zhu, X., Tian, C., Li, S., Sun, G., Liu, H., Liu, S., Geng, M., et al. (2026) · Neurochemical Research · doi:10.1007/s11064-026-04834-3
Ciccone, L., Petrarolo, G., D’Agostino, I., Scianò, F., Bernardoni, B. L., Leri, M., Ann, J., Nencetti, S., Lee, J., Bucciantini, M., et al. (2026) · Antioxidants · doi:10.3390/antiox15070857
Chen, F., Wang, L., Liu, H., Khan, Q., Tang, B., & Bao, N. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04551-7
Ha, N. T. T., Tuyen, N. V., Ngo, Q. A., Cham, B. T., Anh, L. T. T., Tra, N. T., Hang, N. T. M., Nam, N. T., Oanh, N. T. T., Thao, V. M., et al. (2026) · Natural Product Research · doi:10.1080/14786419.2026.2697499
Yang, F., Chen, Y., Yan, Y., Zhao, R., Deng, L., Tian, D., Wang, Q., & Xie, M. (2026) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2026.141133
Tau-mediated Mechanisms in Alzheimerʼs Disease Pathogenesis
Narayanappa, T. S., Ananthanarayana, V., & Chinnathambi, S. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06057-7
Mallick, S., Singh, S. K., Korupalli, C., & Vankayala, R. (2026) · New Journal of Chemistry · doi:10.1039/d6nj02021f
Physical activity and exercise in dementia: clinical relevance and emerging insights
Pramodkumar, T., & Mohan, V. (2026) · Frontiers in dementia · doi:10.3389/frdem.2026.1843904
Li, Y., Alhoqail, W. A., Mickymaray, S., & Li, F. (2026) · Dose-Response · doi:10.1177/15593258261471150
Kaur, G., & Goyal, B. (2026) · Physical Chemistry Chemical Physics · doi:10.1039/d6cp01160h
Bang, K. Y., Walenga, R. L., Chopski, S. G., Luke, M. C., Blinova, K., Zhao, L., & Guo, S. (2026) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2026.115938 · Cited by 1
Xu, T., Zhang, C., Yang, Y., Shen, Z., & Zhong, Z. (2026) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/cjpp-2025-0340
Kuhnau, L., Jimenez, G. A., Hack, W. R., Varada, S., Gladen-Kolarsky, N., Kim, S., Klein, F., Banerji, T., Quinn, J. F., Scanlan, T. S., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.31.741838
Liu, C.-W., Liu, Y., Li, W., Qu, Q.-W., Shan, Z.-X., Dong, F.-X., & Hou, X. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106241
Huang, R., Guan, L., Chen, Y., Jiao, Q., 殷伟荣, & Zhou, H. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261478529
Hosseini, M. S., Saheli, M., Rajizadeh, M. A., Nematollahi-Mahani, S. N., Joushi, S., Gaeini, A. A., Khoramipour, K., & Sheibani, V. (2026) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2026.154463
Targeting amyloid and Tau: Antibody therapies for Alzheimer’s disease
Upadhyay, R., Sangitha, & Sevanan, M. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.08.011
A Neural Network Model for Memory Decay of the Olfactory System in Alzheimer’s Disease
Mertika, A., Kotini, A., Vadikolias, K., & Adamopoulos, A. V. (2026) · Biophysica · doi:10.3390/biophysica6050079
Akhter, F., Akhter, A., Zhou, J., Xi, M., & Zhu, D. (2026) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2026.08.054
Ayuba, M., Nassir, C. M. N. C. M., Hamid, H. A., Hein, Z. M., Bukar, A. M., Moklas, M. A. M., & Mehat, M. Z. (2026) · Nutritional Neuroscience · doi:10.1080/1028415x.2026.2717205
Adhikari, S., Carlyle, B. C., & de Wet, H. (2026) · The Journal of Precision Medicine Health and Disease · doi:10.1016/j.premed.2026.100057
Alzheimer’s Disease: Diagnostic Criteria and Their Evolution
Vorobev, S. V., Emelin, А. Y., Yanishevskiy, S. N., & Tantasheva, A. M. (2026) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-026-02065-1
Shaik, K. M., Ahmed, S., Sood, M., Kumari, A., Srikanth, P., Rahaman, S., Bharatam, P. V., Dey, S., Sharma, S. S., & Nandi, S. (2026) · ChemistrySelect · doi:10.1002/slct.74578
High-altitude hypoxia and blood–brain barrier injury: cellular mechanisms and clinical targets
Xu, G., Zhang, Y., Xia, T., Chang, M., Zhang, N., Zhao, Q., Chen, G., Li, Y., Zhang, L., Zhou, W., et al. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.09.027
Yue-Qi, Z., Chen, W., & Han, X. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261489741
Revisiting Alzheimer’s Disease Through the Somatostatin–Mitochondria Axis
Liu, K., Zhang, X.-Y., Qiu, H.-B., Su, C.-Q., Wang, S.-Y., Pei, Z.-J., Jin, R.-H., & Bing, Y.-H. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06221-z
Krokidis, M. G., Sagar, R., Mustapić, M., Papatheodorou, M.-C. P., Exarchos, T. P., Lyketsos, C. G., Vlamos, P., Kapogiannis, D., & Mahairaki, V. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1917428
An Interpretable Framework for Identifying EEG Spectral Biomarkers of Pathological Brain Aging
Prieur-Coloma, Y., Prado, P., El‐Deredy, W., & Weinstein, A. (2026) · Diagnostics · doi:10.3390/diagnostics16193143
Prevalence of metabolic syndrome among patients with Alzheimer disease
Lichahi, M. A., Petkov, I., Smerat, A., Alsarhan, H. W., Letafatkar, N., Abbasnejad-Ardehroudkenari, M., Mohammadi, S., Jafari, M., Ghodous, S., & Amini‐Salehi, E. (2026) · Medicine · doi:10.1097/md.0000000000050670
Li, L., Meng, R., Han, J., Li, Y., Li, S., Liu, C., & Zhang, Y. (2026) · Microchemical Journal · doi:10.1016/j.microc.2026.119894
Epigenetics in Alzheimer’s disease: from molecular mechanisms to emerging novel biomarkers
D’Aversa, E., Grisafi, M., Pernagallo, S., Salvatori, F., Singh, A. V., Nucciarone, A., Tisato, V., & Gemmati, D. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1959361
Ambatwar, R., Singh, P., Ghosh, S., Chandrakar, L., Datusalia, A. K., & Khatik, G. L. (2026) · Future Medicinal Chemistry · doi:10.1080/17568919.2026.2739927
Zhao, C., Li, T., Yang, H., Fang, H., Song, X., Wang, Y., Jiang, X., Wang, L., Su, D., & Xing, Z. (2026) · Chemical Engineering Journal · doi:10.1016/j.cej.2026.182835
金, 海., Zhang, J., Meng, X., Li, J., Meng, S., & Fu, Q. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1807030
Lan, X., Xia, M., Chen, L., Zheng, S., Jin, L., Wang, Y., Lu, S., 徐佳敏, Linyan, X., Li, C., et al. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1940356
Moslehi, M., Sharma, R., Khorasani, A., & NeuroimagingInitiative, F. T. A. D. (2026) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-026-02181-x
Hussain, A., & Bokhari, S. A. I. (2026) · 3 Biotech · doi:10.1007/s13205-026-05110-5
Alshammari, F., Al‐kuraishy, H. M., Abdelaziz, A. M., Alruwaili, M., & Batiha, G. E. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.117618
Heo, H.-Y., Kim, J. K., Park, S., Song, K., Nimse, S. B., & Lee, K. (2026) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2026.102852
Onyekwere, O., Faloye, K. O., Fakola, E. G., Elebo, A., Fakoya, T. O., & AKINYELE, O. F. (2026) · Next Materials · doi:10.1016/j.nxmate.2026.103930
Metadata
- Authors
- Tenchov, R., Sasso, J. M., & Zhou, Q. A.
- Affiliations
- American Chemical Society (US)
- Corresponding author
- Zhou, Qiongqiong Angela
- Venue
- ACS Chemical Neuroscience
- Publisher
- American Chemical Society (ACS)
- Published
- 2024-10-11
- Volume
- 15
- Issue
- 21
- Pages
- 3800-3827
- ISSN
- 1948-7193 (ISSN-L)
- PMC
- PMC11587518
- OpenAlex
- W4403334326
- Cited by
- 170
- References
- 293
- Citations by year
- 2026: 115 · 2025: 53 · 2024: 2
- FWCI
- 9.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ACS Chemical Neuroscience (publishedVersion, cc-by)
- ChemRxiv (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, cognitive decline, amyloid plaques, neuroinflammation, synaptic dysfunction, genetic risk factors, APP mutations, presenilin 1, presenilin 2, APOE ε4, disease-modifying therapy, biomarkers, early diagnosis, drug repurposing, comorbid diseases, therapeutic target, drug development pipeline
- MeSH terms
- Alzheimer Disease, Animals, Humans, 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