The DOI matches its Crossref record; 320 of the 321 references it cites were found in a registry or an index.
Amyloid, tau, pathogen infection and antimicrobial protection in Alzheimer’s disease –conformist, nonconformist, and realistic prospects for AD pathogenesis
Open accessAbstract
BACKGROUND: Alzheimer's disease (AD) is a fatal disease that threatens the quality of life of an aging population at a global scale. Various hypotheses on the etiology of AD have been developed over the years to guide efforts in search of therapeutic strategies. MAIN BODY: In this review, we focus on four AD hypotheses currently relevant to AD onset: the prevailing amyloid cascade hypothesis, the well-recognized tau hypothesis, the increasingly popular pathogen (viral infection) hypothesis, and the infection-related antimicrobial protection hypothesis. In briefly reviewing the main evidence supporting each hypothesis and discussing the questions that need to be addressed, we hope to gain a better understanding of the complicated multi-layered interactions in potential causal and/or risk factors in AD pathogenesis. As a defining feature of AD, the existence of amyloid deposits is likely fundamental to AD onset but is insufficient to wholly reproduce many complexities of the disorder. A similar belief is currently also applied to hyperphosphorylated tau aggregates within neurons, where tau has been postulated to drive neurodegeneration in the presence of pre-existing Aβ plaques in the brain. Although infection of the central nerve system by pathogens such as viruses may increase AD risk, it is yet to be determined whether this phenomenon is applicable to all cases of sporadic AD and whether it is a primary trigger for AD onset. Lastly, the antimicrobial protection hypothesis provides insight into a potential physiological role for Aβ peptides, but how Aβ/microbial interactions affect AD pathogenesis during aging awaits further validation. Nevertheless, this hypothesis cautions potential adverse effects in Aβ-targeting therapies by hindering potential roles for Aβ in anti-viral protection. CONCLUSION: AD is a multi-factor complex disorder, which likely requires a combinatorial therapeutic approach to successfully slow or reduce symptomatic memory decline. A better understanding of how various causal and/or risk factors affecting disease onset and progression will enhance the likelihood of conceiving effective treatment paradigms, which may involve personalized treatment strategies for individual patients at varying stages of disease progression.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Many studies have linked AD to a diverse variety of bacterial and viral pathogens [529–531].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [530]
In the citing paper
“Related pathogens include Helicobacter pylori, various bacteria of the liver, gut, lungs (pneumonia) and mouth, as well as viruses to include Epstein Barr virus, CMV, HIV, oral herpes HSV-1, genital herpes HSV-2, human herpesvirus (HHV)-6A/HHV-7 (recently reviewed in [530]). These pathogens can infiltrate the CNS and dysregulate AD-associated neurological function.”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [530]
In the citing paper
“Significant overlap exists between the expression of AD-associated genes and genomic viral load in the CNS; for example, viral abundance may determine AD progression through the regulation of genes associated with APP processing [529–531].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [530]
In the citing paper
“A recent multi-omic study identified an enrichment of HHV-6A and HHV-7 in AD patients compared to controls [529–531].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [530]
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
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
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
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
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484
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
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
Alzheimer's Disease: Genes, Proteins, and Therapy
Selkoe, D. J. (2001) · Physiological Reviews · doi:10.1152/physrev.2001.81.2.741 · Cited by 6,063
Cited by
Sorted by citations
Wnt/β-catenin signalling: function, biological mechanisms, and therapeutic opportunities
Liu, J., Xiao, Q., Xiao, J., Niu, C., Li, Y., Zhang, X., Zhou, Z., Shu, G., & Yin, G. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00762-6 · Cited by 2,519
Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease
Guo, T., Zhang, D., Zeng, Y., Huang, T. Y., Xu, H., & Zhao, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00391-7 · Cited by 994
Self-citationBrain energy rescue: an emerging therapeutic concept for neurodegenerative disorders of ageing
Cunnane, S. C., Trushina, E., Morland, C., Prigione, A., Casadesus, G., Andrews, Z. B., Beal, M. F., Bergersen, L. H., Brinton, R. D., de la Monte, S., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0072-x · Cited by 1,003
Restoring Wnt/β-catenin signaling is a promising therapeutic strategy for Alzheimer’s disease
Jia, L., Piña-Crespo, J., & Li, Y. (2019) · Molecular Brain · doi:10.1186/s13041-019-0525-5 · Cited by 288
Time to test antibacterial therapy in Alzheimer’s disease
Panza, F., Lozupone, M., Solfrizzi, V., Watling, M., & Imbimbo, B. P. (2019) · Brain · doi:10.1093/brain/awz244 · Cited by 161
Metadata
- Authors
- Li, H., Liu, C.-C., Zheng, H., & Huang, T. Y.
- Affiliations
- Mayo Clinic in Florida (US)
- Baylor College of Medicine (US)
- Sanford Burnham Prebys Medical Discovery Institute (US)
- Corresponding author
- Li, Hongmei
- Huang, Timothy Y.
- Venue
- Translational Neurodegeneration
- Published
- 2018-12
- Volume
- 7
- Issue
- 1
- Pages
- 34-34
- ISSN
- 2047-9158 (ISSN-L)
- PMC
- PMC6306008
- OpenAlex
- W2906630689
- Cited by
- 103
- References
- 321
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 12 · 2023: 16 · 2022: 13 · 2021: 16 · 2020: 25 · 2019: 8
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Translational Neurodegeneration (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (AG059217, AG061875, AG062257, AG057509, AG054111, AG020670, AG057981)
- BrightFocus Foundation (A2016346F)
- Alzheimer Association (AARG-17-500335)
- Florida Department of Health (8AZ07)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, amyloid hypothesis, tau hypothesis, viral infection hypothesis, amyloid-beta, tau hyperphosphorylation, neurodegeneration, AD pathogenesis, risk factors, personalized treatment
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
