Global estimates on the number of persons across the Alzheimer's disease continuum

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

McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915

Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358

NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease

Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537

Mild cognitive impairment as a diagnostic entity

Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864

Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease

Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155

Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019

Nichols, E., Steinmetz, J. D., Vollset, S. E., Fukutaki, K., Chalek, J., Abd-Allah, F., Abdoli, A., Abualhasan, A., Abu-Gharbieh, E., Akram, T. T., et al. (2022) · The Lancet Public Health · doi:10.1016/s2468-2667(21)00249-8 · Cited by 5,575

Mild cognitive impairment – Beyond controversies, towards a consensus: Report of the International Working Group on Mild Cognitive Impairment.

Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946

Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria

Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411

A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial

Ngandu, T., Lehtisalo, J., Solomon, A., Levälahti, E., Ahtiluoto, S., Antikainen, R., Bäckman, L., Hänninen, T., Jula, A., Laatikainen, T., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60461-5 · Cited by 3,689

Discovery of Novel Quinazoline Thiazole Uredio Analogs as Dual Inhibitors of GSK-3β and CK-1δ as Anti-Alzheimer’s Agents: Catching Two Fish with One Net

Kumar, D., Walhekar, V. S., Shenoy, K. M., & Kini, S. G. (2026) · Current Topics in Medicinal Chemistry · doi:10.2174/0115680266378266251017045841

Exosomes Produced by Adipose Tissue-Derived Stem Cells: Function and Use in Therapy for Alzheimer’s Disease

Schultz, B. E., Yan, Y., Sarpong, G. K., Zhao, X., & Bai, X. (2026) · Springer eBooks · doi:10.1007/978-3-032-01711-6_58

Proteomic analysis in Alzheimer’s disease and other dementias: a focus on sex-specific differences

Comas‐Albertí, A., Lladó, A., Esteller, D., Borrego‐Écija, S., Falgàs, N., Dakterzada, F., Pérez‐Millan, A., Puey, R., Collet-Romà, T., Guillén, N., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02068-7 · Cited by 2

Spastic paraparesis linked to a rare presenilin-1 mutation

Teles, C., Durães, J., Faustino, P., Baldeiras, I., Gens, H., Tábuas‐Pereira, M., Almeida, M. R., & Santana, I. J. (2026) · Neurogenetics · doi:10.1007/s10048-026-00908-0

Defective regulated secretion: A trigger for Alzheimer’s pathology?

Verma, B., Singh, P., Goberdhan, D. C. I., & WILSON, C. G. (2026) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2026.102926 · Cited by 2

Correlation between in vivo 18 F‐flortaucipir PET and whole‐brain postmortem histological tau signals in Alzheimer's disease

Chao, Y., Chen, Y., Chadwick, T. A., Harrison, T. M., Iaccarino, L., Heinsen, H., Ushizima, D. M., Tosun, D., Jagust, W. J., & Grinberg, L. T. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71453 · Cited by 1

Dissecting Alzheimer’s disease heterogeneity by cross-trait polygenic predictionPreprint

Li, W. F., Mohammed, N., Bennett, D. A. A., Kellis, M., & Tanigawa, Y. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.15.725551

Genetic instrumental variable analysis reveals multivariate dietary patterns beneficial to patients with Alzheimer's disease

Xu, H., Nie, Y., Li, S., Ye, J., Huang, Q., Meng, W., Li, X., & Mo, X. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261451159

Tracking of Neuroinflammation Dynamics During Combined Anti-β-Amyloid Therapy (AAT) and Immunomodulation in a Preclinical Alzheimer’s Disease Model

Wind-Mark, K., Kunze, L. H., Willem, M., Palumbo, G. A., Giudici, C., Nuscher, B., Boening, G., Gildehaus, F. J., Lindner, S., Werner, R. A., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104632

Novel salivary biomarkers of Alzheimer's disease identified by integrated metabolomics and microbiomics analysis

Chen, H., Chen, H., Xie, L., Jiang, K., Xia, E., Mao, J., Liu, Z., Li, X., Xiao, Y., Qian, X., et al. (2026) · Clinical Oral Investigations · doi:10.1007/s00784-026-06933-5

Establishing bone tissue level changes associated with cognitive impairment

Ross, R. D., Dulion, B. A., Wong, J., Gritsenko, M. A., Day, L. Z., McDermott, J., Jacobs, J., Leurgans, S. E., Yu, L., & Bennett, D. A. (2026) · The Journals of Gerontology Series A · doi:10.1093/gerona/glag134

Neuro-nutraceutical role of Indian spices, spice mixes and their bio-actives: An update

Vismaya, & Rajini, P. S. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106189

Visceral adipose tissue differentially affects tau and Aβ pathology in 3xTg-AD mice

Trujillo‐Estrada, L., Bettinetti‐Luque, M., Andreo‐Lopez, J., Cunha, C. D., Morales‐Cabello, M., Campos‐Moreno, C., Sánchez‐Mejías, E., Forner, S., Martini, A. C., Sanchez-Varo, R. M., et al. (2026) · Cell Communication and Signaling · doi:10.1186/s12964-026-02964-3

Integrating memory-guided saccades and EEG for MCI screening: a multimodal LASSO modeling approach

Zhao, X., Yu, F., Wang, H. X., Kang, Y., Zhu, Y., Xiao, Z., Bai, D., & Li, J. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1821547

Ultrasensitive Detection of Neurofilament Light in Plasma Using F(Ab')2-Modified Graphene Field-Effect Biosensor.

Kizilates, S. B., Asrosa, R., Senicar, L., Sharma, A., Er, S. G., Naeem, A. N., Mustafa, A. N. M., Wu, Y., Graham, N., Heslegrave, A., et al. (2025) · Apollo (University of Cambridge)

Hierarchical organization of tau topography across the Alzheimer’s disease continuum integrates amyloid, connectome, and intrinsic molecular vulnerability

Zeng, Z.-M., Han, S.-S., Liu, Q., Zeng, C.-D., Jia, X., Bi, J., Liu, L.-C., Gao, T.-A., Liang, L., & Cheng, F.-X. (2026) · Communications Biology · doi:10.1038/s42003-026-10388-5

Multimodal non-invasive approaches for early Alzheimer’s disease detection: a review of neuroelectrophysiological and neuroimaging techniques

Lou, L., Zhou, Y., Zhu, H.-H., Zheng, K.-M., & Ji, Y. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1824430

Knowledge, attitudes, and practices of speech-language pathologists (SLPs) towards Mild cognitive impairment: insights from Indian SLPs with cross-national comparisons to SLPs in the United States

Soni, A., Lanzi, A. M., Dallas, O., Moolambally, S. R., Shirali, A., & Bajaj, G. (2026) · Aphasiology · doi:10.1080/02687038.2026.2680451

Multifunctional Nanoparticles for Theranostics of Protein Misfolding Diseases: A Systematic Review

Tariq, H., Khan, S., Shahid, H., Sohail, T., & Noor, A. (2026) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbm.b.70106

Data-Driven Causal Pathway Discovery in Alzheimer’s Disease via Mendelian Randomization

Xia, Y., Li, C., Jin, S., Zhang, L., Zhang, J., & Shao, X. (2026) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2026.3698468

Nanotherapeutics targeting neuroinflammation

Chaulagain, B., Tagoe, B., Gothwal, A., Mahanta, A. K., Muolokwu, C. E., Lamsal, B., & Singh, J. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33623-2.00013-1

Sleep and dementia: Assessing established dementia‐related factors using multivariable Mendelian randomization

Guo, Y., Wang, R., Sindi, S., Middleton, L. T., & Kivipelto, M. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71592

P1642-1, a novel pancreatic polypeptide analogue, ameliorates cognitive impairment in 5 ×FAD mice and is associated with enhanced PINK1/Parkin-related mitophagy

Zhang, H., Wei, Y., Liu, E., Sun, H., Flatt, P., Gault, V. A., Irwin, N., Hölscher, C., Hao, L., & Zhang, Z. (2026) · Peptides · doi:10.1016/j.peptides.2026.171501

Behind the scenes of a 7T MRI clinical study in Alzheimer's disease: challenges and recommendations for future research

Dobrushina, M., Krohn, F., Chandni, S., Dietrich, L., Glanz, W., Butryn, M., Hämmerer, D., & Penalba‐Sánchez, L. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1731961

Travel barriers to amyloid‐targeting infusion access among older adults

Burke, J., Weerman, A., Hanson, M., Zhang, Q., Monfared, A. A. T., & Mattke, S. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70282

Repurposing FDA‐Approved Drugs as Acetylcholinesterase Inhibitors for Alzheimer's Disease: An Integrated In Silico Approach

Kandy, A. T., Kumar, T. D. A., Selvaraj, D., & Jupudi, S. (2026) · ChemistrySelect · doi:10.1002/slct.202506836

Post-marketing safety of lecanemab: a real-world study based on FAERS database, multicenter cohort and network pharmacology

Xing, X., Wang, K., Feng, Y., Wu, C., Jia, L., Li, H., Wen, Z., Tang, Y., Wang, Z., Zhang, X., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1822543

Sex-Specific Modifiable Factors for Incident Late-Onset Dementia in the Geographic Context: A Longitudinal Comparative Analysis of Multicohort Studies across 19 Countries.

Meng, H., Cheng, G.-R., Dong, H., Xie, X.-Y., Wang, J.-Y., Cai, C., Liu, X.-C., Xu, Y., He, X., Tan, W., et al. (2026) · Neuroepidemiology · doi:10.1159/000551779

Electroretinography as a non-invasive biomarker for early detection of cognitive impairment in older adults: A scoping review protocol

Duah, I. O., Houston, K. J., Rodriguez, D., & GERMAIN, C. M. (2026) · PLoS ONE · doi:10.1371/journal.pone.0352593

“Behavioral and Neuroinflammatory Evaluation of a Novel Isoxazole-5-One Derivative in Animal Models of Alzheimer’s Disease via TNF-α, COX-2, IL-6, and NF-κB Modulation”

Gohar, N., Abbas, M., Masaud, S. M., Zulfiqar, I., Jabeen, H., Malik, N. S., & Nadeem, H. (2026) · ACS Omega · doi:10.1021/acsomega.6c01108

Serum adiponectin and cognitive function in Alzheimer’s disease with comorbid depression

Song, C., Zhan, W., Tang, J.-Y., Liu, Z.-H., & Huang, Y. (2026) · World Journal of Psychiatry · doi:10.5498/wjp.118148

Bithiophene Scaffold for PET Imaging and Photosensitization as a Novel Theranostic Platform Targeting Amyloid-β Aggregates

Akasaka, T., Watanabe, H., & Ono, M. (2026) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.6c00047

Hypothalamus Amyloid Levels Are Associated with Early Sex-Dependent Alterations in Peripheral Energy Homeostasis in TgF344-AD Rats

Levine, C. M., Caggiano, C., Anderson, T., Kelberman, M. A., Weinshenker, D., Lail, H. L., Wanders, D., Bangasser, D. A., Kanoski, S. E., & Parent, M. B. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06014-4

Sotagliflozin improves cognitive deficits and attenuates neuroinflammation of Alzheimer's disease

Ning, Y., Chen, M., Yang, H., & Jia, J. (2026) · Neurotherapeutics · doi:10.1016/j.neurot.2026.e00946

Rising burden of Alzheimer’s mortality linked to hypertension: A U.S. population-based study, 1999-2023

Faheem, M. S. B., Hassan, S. T., Najmi, O. E. M., Waheed, A., Ullah, Z. B., Sattar, Y., & Alraies, M. C. (2026) · Journal of the National Medical Association · doi:10.1016/j.jnma.2026.06.020

Estimated labor market outcomes of people progressing from preclinical to early‐stage Alzheimer's disease in the United States

Prados, M., Acosta, C., & Mattke, S. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71628

Association of SPHK1 polymorphisms with Alzheimer's disease susceptibility: Functional impact of the rs2247856 SNP on transcriptional efficiency

Kim, D., Kim, Y. S., & Jeong, B. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70288

A comparison of the Quick Dementia Rating System and Montreal Cognitive Assessment for detecting mild cognitive impairment and dementia assessed by the Clinical Dementia Rating Scale

Ng, C. A., Lim, M. J. H., Chong, E. J. Y., Colombo, G., Schinazi, V. R., Venketasubramanian, N., & Chen, C. L. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261467344

NavegApp, a serious game for assessing spatial cognition: Diagnostic accuracy in preclinical and prodromal Alzheimer’s disease

Escudero, J. P. S., González, D. C. D., Aguillon-Niño, D. F., García-Barrera, M. A., Aguirre–Acevedo, D. C., & Trujillo, N. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001521

The Community Context and Cognitive Health of Older Adults: Understanding Mechanisms and Pathways to Intervention

Hamlin, A. M., Leyva, V., & Clark, A. L. (2026) · Springer eBooks · doi:10.1007/978-3-032-22457-6_7

Investigation of the Potential Neuroprotective Mechanisms of Acalypha indica Against Alzheimer’s Disease by Integrated Bioinformatics Analysis

Nguyen, L. T. H., Nguyen, H. T., & Nguyen, T. U. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27146196

基于ATR-FTIR的阿尔茨海默病与轻度认知障碍的光谱智能诊断

Peng, 单. S., Yu, 刘. L., Zhigang, 李. L., Wang, Q., Zhihong, 石. S., & Yong, 纪. J. (2026) · Acta Optica Sinica · doi:10.3788/aos260747

Elevated CSF GAP-43 is associated with reduced cerebral glucose metabolism and cognitive impairment in individuals with mild cognitive impairment

Ahmed, H. M., Al‐Hussainy, A. F., Arora, V., Rekha, M. M., Kundlas, M., Chennakesavulu, K., Manu, M., Rizaev, J., Taher, S. G., Alwan, M., et al. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01181-3

Prädiktion und Prävention der Alzheimer-Krankheit

Weber, M.-C., Goedecke, J., Fink, G. R., & Onur, O. A. (2026) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/a-2906-0084

The Repair Manual of a Fruit Fly Brain

Peetz, I., Blum, A., Ahern-Djamali, S. M., & Boekhoff‐Falk, G. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27156795

MiR-7 in neurological disorders: beyond metabolic dysregulation

Puigdueta, C., Pardo, V., Torrecilla-Parra, M., Frutos, M. F.-D., López-Aceituno, J. L., Zamora, C., López-Manchedo, Y., Busto, R., & Ramírez, C. M. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1884638 · Cited by 1

IL-17A levels in Alzheimer’s disease brains are mediated by X chromosome dosage

Misrani, A., Wang, J., Xu, Y., & Liu, F. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.112065

A Comparison of Machine Learning Methods for Alzheimer’s Disease Classification in Vietnamese Patients

Duong, N. V. B., Vu, D.-T., Can, D.-C., Nguyen, H. D., Nguyen, B. T., Chén, O. Y., & Ha, H. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-2584-2_12

Inhibition of amyloid β aggregation by venetoclax: a computational and in vitro experimental approach

Liu, B., Wang, H.-C., He, Y.-L., Zhang, L.-J., Meng, D., Yun, F., Wang, M., & Zhang, W. (2026) · RSC Advances · doi:10.1039/d6ra03199d

The Visual System in Alzheimer’s Disease: A Multilevel Review of Pathology, Monitoring, and Intervention

Liu, Y., Lu, J., Zhang, Z., Yao, D., Xia, Y., & Chen, K. (2026) · Vision · doi:10.3390/vision10030050

Effects of Escitalopram on Neuropsychiatric Symptoms in Alzheimer Disease: A Secondary Analysis From the S-CitAD Study

Clark, E. D., Perin, J., Devanand, D. P., Padala, P. R., Shade, D. M., Lyketsos, C. G., & Porsteinsson, A. P. (2026) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2026.08.011

Effects of in vitro Embryo Culturing and Subsequent Embryo Transfer on Behavior and Brain Development in 5xFAD Mice: a Model of Alzheimer’s Disease

Rozhkova, I. N., Брусенцев, Е. Ю., Kozeneva, V. S., Rakhmanova, T. A., Chekashov, I. D., Solovieva, S. S., Okotrub, S. V., Chulkova, S. I., & Amstislavsky, S. Y. (2026) · Journal of Evolutionary Biochemistry and Physiology · doi:10.1134/s0022093026040216

Retinal neurovascular coupling dysfunction and plasma metabolomic features as biomarkers of Alzheimer’s disease: an integrated diagnostic model

Xiao, P., Wang, Y., Li, J., & Li, W. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1892148

Multimodal Retinal Imaging for the Detection of Early Alzheimer’s Disease: Combining Biochemical, Structural, and Vascular Biomarkers

Ghesquiere, M., Christinaki, E., Lemmens, S., Eijgen, J. V., Beeckmans, L., Ghinis, A., Jacobs, T., Keer, K. V., Wehbi, Z., Groef, L. D., et al. (2026) · Bioengineering · doi:10.3390/bioengineering13091041

Neurons as cytokine sensors in the central nervous system

Kahn, A., Binkle-Ladisch, L., Sonner, J. K., & Friese, M. A. (2026) · Trends in Immunology · doi:10.1016/j.it.2026.07.012 · Cited by 1

Temporal trends in the prevalence of Alzheimer's disease, 1980–2024: a systematic review and meta-analysis

Hu, M., Sun, Z., Mao, D., Tian, X., & Shang, Q. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1884058

Neurokognitive Störungen

Frölich, L., Hausner, L., & Schneider, F. (2026) · Springer eBooks · doi:10.1007/978-3-662-70668-8_34

Quantitative Systems Pharmacology Analysis of Amyloid Aggregation and Hippocampal Atrophy Trajectories in Alzheimer’s Disease by APOE4 Genotype and Valiltramiprosate/ALZ-801 TreatmentPreprint

Hey, J. A., Geerts, H., Schaefer, J. F., Short, S. M., van der Graaf, P. H., Abushakra, S. R., Power, A., Tolar, M., & Yu, Y. (2026) · Research Square · doi:10.21203/rs.3.rs-10570608/v1

Projected Global and SDI-Region Care Costs for Alzheimer Disease and Associated Dementias, 2023 to 2050

Xu, D., Jiang, L., Yang, Q., Marzo, R. R., Peng, Z., Yao, Y., Li, R., Zhang, X., Zhu, L., Qian, J., et al. (2026) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000748

Xanthones and Their Nitrogen and Sulfur Analogs in Alzheimer’s Disease: Recent Progress Toward Multifunctional Therapeutics

Malafaia, D., Melo, L., Silva, A. M. S., & Albuquerque, H. M. T. (2026) · ChemMedChem · doi:10.1002/cmdc.70453

Antioxidant and Neuroprotective Effects of Copper Nanoparticles Synthesized using Panax ginseng Leaf Extract Against Amyloid Beta (Aβ)-Induced Alzheimer’s Disease in Mice

Wang, C., & Luo, P. (2026) · Journal of Pharmaceutical Innovation · doi:10.1007/s12247-026-10977-1

Plasma Glial Fibrillary Acidic Protein and Neurofilament Light Chain Concentrations Are Inversely Associated with Retinal Microvascular Perfusion and Vessel Density in Cognitively Normal Individuals with Familial or Genetic Risk Factors for Alzheimer’s Disease

Zhao, W., Zhu, M. Y., Patel, H., Whitson, H. E., Johnson, K. G., Grewal, D. S., & Fekrat, S. (2026) · Diagnostics · doi:10.3390/diagnostics16172764

Differential amyloid-beta sensitivity across human and nonhuman primate neurons

August, I., Steiner, S., Oefner, R., & Marchetto, M. C. (2026) · Journal of Human Evolution · doi:10.1016/j.jhevol.2026.103888

Current perspectives on non-pharmacological approaches to cognitive impairment

Gileva, E. A., Коваленко, Е. А., Makhnovich, E. V., Osinovskaya, N. A., & Bogolepova, A. N. (2026) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro202612608159

Pharmacokinetic properties of the clinical drug candidate PRI-002 with regard to genotype, sex, age, dose-dependence and food effects in mice

Camargo, L. C., Jonas, A., Gering, I., Schemmert, S., Jacobs, D., Schäfer, M., Willbold, D., Willuweit, A., & Kutzsche, J. (2026) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2026.107649

Identification and Validation of the Nrf2/Slc2a1 Axis in Alzheimer’s Disease

Luo, Y., Deng, J., Loh, Y., Lu, H., Wang, N., Tang, C., & Zhang, B. (2026) · Genes · doi:10.3390/genes17091081

Expert opinion on Alzheimer’s disease diagnostics and management in Central Eastern European countries representing 88 million population

Mimica, N., Dumitrescu, L., Kramberger, M. G., Hort, J., Kovács, T., Popadic, K., Popescu, B. O., Rakuša, M., Rejdak, K., & Turčáni, P. (2026) · Neurological Sciences · doi:10.1007/s10072-026-09386-6

High plasma levels of soluble triggering receptor expressed on Myeloid Cells 2 were associated with depression in patients with newly diagnosed type 2 diabetes mellitus

Melin, E. O., Landin‐Olsson, M., & Hillman, M. (2026) · Journal of Clinical & Translational Endocrinology · doi:10.1016/j.jcte.2026.100457

Amplitude of physiological brain pulsations in Alzheimer’s diseasePreprint

Perkiömäki, V., Raitamaa, L., Mattila, H., Elabasy, A., Huotari, N., Väyrynen, T., Tuunanen, J., Helakari, H., Järvelä, M., Kananen, J., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9725762/v1

A peripheral proteomic signature of Alzheimer’s disease is identified in the plasma extracellular vesicles of mild cognitive impairment patients from a memory clinic: the BIOPEXAL study

Capdevila-Bayo, M., Rossi, R., de Rojas, I., Puerta, R., Guzman, L., Carrasco, M., Muñoz-Morales, Á., Olivé, C., Montrreal, L., García‐González, P., et al. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04952-8 · Cited by 1

Serum metabolite signature of the mediterranean diet adherence and cognitive function: Evidence from two cohorts

Papandreou, C., Skyfa, V.-A., Tsilidis, K. K., Júlvez, J., Sakka, P., Hadjigeorgiou, G., Dardiotis, E., Kosmidis, M. H., Yannakoulia, M., Patas, K., et al. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106785

Plasma biomarker and machine learning modeling of clinical progression in cognitively normal individuals at risk for Alzheimer’s disease

Thabtah, F., Kamalov, F., Spencer, R., Abdelhamid, N., Nami, M., & Initiative, A. D. N. (2026) · Neurodegenerative Disease Management · doi:10.1080/17582024.2026.2731194

Artificial intelligence in Alzheimer's disease: From clinical biomarker intelligence to therapeutic innovation

Wang, J., Li, Z., Wang, T., Jiang, L., Sharif, A., Takechi, R., Li, T., Chong, L. H., Fang, F., Pang, Z., et al. (2026) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2026.09.013

Effects of Lacticaseibacillus rhamnosus KF7-Fermented Milk on Cognitive Function, Gut Microbiota, and Fecal Metabolism in APP/PS1 Mice

Zhang, Y., Liu, Z., & You, C. (2026) · Foods · doi:10.3390/foods15183304

Rethinking dementia prevention for a continuum of risk

Htun, H. L., & Anstey, K. J. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-026-01273-0

Dementia risk factors and biomarkers in subjective cognitive decline: real world evidence from the monza brain health service

Pozzi, F. E., Solivani, F., Vitagliano, I., Isgrò, G., Remoli, G., Ortiz, F. G. M., Cuffaro, L., Conti, E., Sala, G., Andreoni, S., et al. (2026) · Neurological Sciences · doi:10.1007/s10072-026-09426-1

Rural-urban disparities in the clinical diagnostic pathway of patients with all-cause mild cognitive impairment and dementia due to Alzheimer's disease in Australia

Lin, X., Honardoost, M. A., Ahern, S., Taylor, C. B., Ward, S. A., de Laguiche, E., Adesanya, E., Brodaty, H., Pearson‐Stuttard, J., Holloway, S., et al. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261489828

Investigating Structural Heterogeneities of Amyloid Aggregates with Spatially Resolved Infrared Spectroscopy

Baghel, D., & Ghosh, A. (2026) · Accounts of Chemical Research · doi:10.1021/acs.accounts.6c00390

Integrating Fuzzy Logic with AI in Healthcare: A Comprehensive Review of Applications in Physical and Neurological Health

Benmoujane, A., Madani, A., & Kissi, M. (2026) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-032-18758-1_13

Dexmedetomidine as a potential neuroprotective agent against Alzheimer’s disease: molecular mechanisms and therapeutic perspectives

Kang, J., Duan, Y., Bi, J., Liu, J., & Yan, W. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1952923

Astrocyte Structure–Function Relationship in Senescence and Neurodegeneration

Serebryanaya, D. V., Kolgaeva, K. A., Dya, G. A., Ermakov, I. M., & Belousov, V. V. (2026) · Biochemistry (Moscow) · doi:10.1134/s000629792660208x

Incidence, severity, and associated risk factors for amyloid-related imaging abnormalities in anti-amyloid monoclonal antibody therapy for early Alzheimer's disease: a systematic review and meta-analysis

Holst, M. A. M., Valiente, A. M. S., & Becerra, C. A. G. (2026) · Neurological Sciences · doi:10.1007/s10072-026-09430-5

The role of AI in neuroethics and patients’ privacy

Nagpal, D., Madaan, V., Agrawal, P., & Mittal, U. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-27722-1.00006-7

Precision cognitive neurorehabilitation: dose, adaptivity, digital therapeutics and implementation

Sander, F. W., Sallard, E., Silva, M., Schneider, L., Diserens, K., Graf, C. E., Serino, A., & Sokolov, A. A. (2026) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2026.2723909

Feasibility of digital multidomain cognitive testing in mild cognitive impairment and dementia assessment in primary care

van den Hurk, W., Johansson, M. M., Classon, E., Gustavsson, A., Nägga, K., & Segernäs, A. (2026) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823261492238

Pyroptosis: a potential target and research progress of exercise in ameliorating Alzheimer’s disease pathology

Shao, J., & Lei, Z. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1983962

Nano-Formulated Madecassic Acid Enhances Neuroprotection Against Aβ (25–35)-Induced Oxidative Stress and Apoptotic Neurotoxicity

Sivamaruthi, B. S., Fukngoen, P., Chaiyasut, C., Kesika, P., Nallasamy, P., Suganthy, N., & Khongtan, S. (2026) · Scientia Pharmaceutica · doi:10.3390/scipharm94040091

How should the results of Alzheimer's disease treatment trials be communicated to colleagues, patients, and families?

Hazan, J., Salemme, S., Liu, K. Y., & Howard, R. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70330

Stem cell-based therapeutics for Alzheimer’s disease: Emerging evidence and future perspectives

Chandrakar, L., Datusalia, A. K., & Khatik, G. L. (2026) · Advances in pharmacology · doi:10.1016/bs.apha.2026.09.004

Integrative Multiomics Analysis Reveals a Coordinated Molecular Signature of Neuroresilience in human MAPT-knockout hiPSC-derived Neurons with relevance for Alzheimer’s and Neurodegenerative DiseasePreprint

Jajin, E. A., & Zempel, H. (2026) · Research Square · doi:10.21203/rs.3.rs-11112521/v1

Sedentary behavior as a gut-brain metabolic state

Yu, Q., Zhang, Z., Tian, Z., Kuang, J., Corbin, K. D., Oberlin, L. E., Collins, A. M., Goodpaster, B. H., Erickson, K. I., Owen, N. G., et al. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.107068

GLP‐1 receptor agonists in Alzheimer's disease and MCI: a meta‐analysis

Siqueira, R. G. P., Ranalli, C., Yılmaz, D., Silva, M., Maltez, B. R. P., Berton, G. G., & Cummings, J. L. (2026) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70334

A cell-type-directed drug repurposing framework for Alzheimer's disease subtypes

Li, Y., Tang, X., Serras, C. P., Tang, A., Oskotsky, T., & Sirota, M. (2026) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2026.10.019

Real‐World Patient Eligibility for Alzheimer's Disease Anti‐Amyloid Therapy in Seven Swedish Memory Clinics

Rosenberg, A., Rennie, A., Ekman, U., Daniilidou, M., Hall, A., Matton, A., Solomon, A., Wahlund, L., Kivipelto, M., & Westman, E. (2026) · European Journal of Neurology · doi:10.1111/ene.70786

Evidence Suggests Linoleic Acid Exerts Health Benefits Beyond Cardiovascular Disease: A Brief Review of Clinical and Observational Studies

Messina, M. J., Nagra, M., Goldman, D., & Nechuta, S. (2026) · Current Nutrition Reports · doi:10.1007/s13668-026-00806-9

How adverse childhood experiences affect the association between chronic condition progression and subjective or objective cognitive function among rural older adults?

Luo, J., Zhang, Y., & Zhou, C. (2026) · European Journal of Psychotraumatology · doi:10.1080/20008066.2026.2745534

Extracellular vesicles and Alzheimer’s disease: hotspots, trends, and future directions—a tri-database bibliometric analysis

Wang, X., & Zhang, B.-W. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1951959

BindingDB Entry 50021052: Brain-Permeable Immunoproteasome-Targeting Macrocyclic Peptide Epoxyketones for Alzheimer's Disease.

BindingDB (2025) · UC San Diego · doi:10.7270/q2w09bjd

Novel Molecular Hybrids of Indolin-2-One and Pyrano[3,2-b]Pyran: Synthesis via α-Thiocyanatoacetophenone and Chlorokojic Acid, and Molecular Docking Study

Shramenko, V. V., Беспалов, А. В., Dotsenko, V. V., Shevelyova, M. P., Deryusheva, E. I., & Андреевна, Л. Е. (2026) · doi:10.3390/chemproc2026022078

Neuropsychological assessment in preclinical and prodromal Alzheimer disease: a global perspective

Watermeyer, T., & Calia, C. (2019) · Journal of Global Health · doi:10.7189/jogh.09.010317 · Cited by 28

Fitting the epidemiology and neuropathology of the early stages of Alzheimer’s disease to prevent dementia

Mar, J., Soto‐Gordoa, M., Arrospide, A., Moreno, F., & Martínez‐Lage, P. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-014-0079-9 · Cited by 31

Estimating prevalence of early symptomatic Alzheimer's disease in the United States

Spargo, D., Zur, R., Lin, P., Synnott, P., Klein, E., & Hartry, A. (2023) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12497 · Cited by 9

O4‐13‐06: NEW GLOBAL PREVALENCE DATA ON DEMENTIA

Wortmann, M. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.04.528 · Cited by 3

PND59 Estimating the Prevalence of Aβ-Confirmed Alzheimer's Disease Using a Funnel-Based Approach

Potashman, M. H., Benea, M. L., Gillis, C., Gianinazzi, M., Ikram, M. A., & Maserejian, N. N. (2020) · Value in Health · doi:10.1016/j.jval.2020.08.1384 · Cited by 3