The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Pro-inflammatory interleukin-6 signaling links cognitive impairments and peripheral metabolic alterations in Alzheimer’s disease
Open accessAbstract
Alzheimer’s disease (AD) is associated with memory impairment and altered peripheral metabolism. Mounting evidence indicates that abnormal signaling in a brain-periphery metabolic axis plays a role in AD pathophysiology. The activation of pro-inflammatory pathways in the brain, including the interleukin-6 (IL-6) pathway, comprises a potential point of convergence between memory dysfunction and metabolic alterations in AD that remains to be better explored. Using T2-weighted magnetic resonance imaging (MRI), we observed signs of probable inflammation in the hypothalamus and in the hippocampus of AD patients when compared to cognitively healthy control subjects. Pathological examination of post-mortem AD hypothalamus revealed the presence of hyperphosphorylated tau and tangle-like structures, as well as parenchymal and vascular amyloid deposits surrounded by astrocytes. T2 hyperintensities on MRI positively correlated with plasma IL-6, and both correlated inversely with cognitive performance and hypothalamic/hippocampal volumes in AD patients. Increased IL-6 and suppressor of cytokine signaling 3 (SOCS3) were observed in post-mortem AD brains. Moreover, activation of the IL-6 pathway was observed in the hypothalamus and hippocampus of AD mice. Neutralization of IL-6 and inhibition of the signal transducer and activator of transcription 3 (STAT3) signaling in the brains of AD mouse models alleviated memory impairment and peripheral glucose intolerance, and normalized plasma IL-6 levels. Collectively, these results point to IL-6 as a link between cognitive impairment and peripheral metabolic alterations in AD. Targeting pro-inflammatory IL-6 signaling may be a strategy to alleviate memory impairment and metabolic alterations in the disease.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
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
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
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
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Diffusible, nonfibrillar ligands derived from Aβ 1–42 are potent central nervous system neurotoxins
Lambert, M. P., Barlow, A. K., Chromy, B. A., Edwards, C., Freed, R., Liosatos, M., Morgan, T. E., Rozovsky, I., Trommer, B., Viola, K. L., et al. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.11.6448 · Cited by 3,506
Cited by
Neuroinflammation in Alzheimer’s Disease: Current Progress in Molecular Signaling and Therapeutics
Thakur, S., Dhapola, R., Sarma, P., Medhi, B., & Reddy, D. H. (2023) · Inflammation · doi:10.1007/s10753-022-01721-1 · Cited by 557
Interleukin 6: at the interface of human health and disease
Grebenciucova, E., & VanHaerents, S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1255533 · Cited by 281
Ali, M., Timsina, J., Western, D., Liu, M., Beric, A., Budde, J., Do, A., Heo, G., Wang, L., Gentsch, J., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.014 · Cited by 61
Samuels, J. D., Moore, K. A., Ennerfelt, H. E., Johnson, A. M., Walsh, A. E., Price, R. J., & Lukens, J. R. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13089 · Cited by 46
Gao, X., Chen, Y., & Cheng, P. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2024.1338875 · Cited by 41
Metadata
- Authors
- Lyra e Silva, N. M., Gonçalves, R. A., Pascoal, T. A., Lima-Filho, R. A. S., Resende, E. D. P. F., Vieira, E. L. M., Teixeira, A. L., de Souza, L. C., Peny, J. A., Fortuna, J. T. S., Furigo, I. C., Hashiguchi, D., Miya-Coreixas, V. S., Clarke, J. R., Abisambra, J. F., Longo, B. M., Donato, J., Fraser, P. E., Rosa-Neto, P., Caramelli, P., Ferreira, S. T., & De Felice, F. G.
- Venue
- Translational Psychiatry
- Published
- 2021-04-28
- Volume
- 11
- Issue
- 1
- Pages
- 251-251
- ISSN
- 2158-3188 (ISSN-L)
- OpenAlex
- W3158545443
- Cited by
- 347
- References
- 29
- FWCI
- 24.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Pro-inflammatory interleukin-6 signaling links cognitive impairments and peripheral metabolic alterations in Alzheimer’s disease. https://app.cochat.ai/papers/10.1038/s41398-021-01349-z
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- Lyra e Silva, N. M., Gonçalves, R. A., Pascoal, T. A., Lima-Filho, R. A. S., Resende, E. D. P. F., Vieira, E. L. M., Teixeira, A. L., de Souza, L. C., Peny, J. A., Fortuna, J. T. S., Furigo, I. C., Hashiguchi, D., Miya-Coreixas, V. S., Clarke, J. R., Abisambra, J. F., Longo, B. M., Donato, J., Fraser, P. E., Rosa-Neto, P., . . . De Felice, F. G. (2021). Pro-inflammatory interleukin-6 signaling links cognitive impairments and peripheral metabolic alterations in Alzheimer’s disease. Translational Psychiatry. https://doi.org/10.1038/s41398-021-01349-z
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.