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Protection of TGF-β1 against Neuroinflammation and Neurodegeneration in Aβ1–42-Induced Alzheimer’s Disease Model Rats
Open accessAbstract
Neuroinflammation has been reported to be associated with Alzheimer's disease (AD) pathogenesis. Neuroinflammation is generally considered as an outcome of glial activation; however, we recently demonstrated that T helper (Th)17 cells, a subpopulation of proinflammatory CD4+ T cells, are also involved in AD pathogenesis. Transforming growth factor (TGF)-β1, a cytokine that can be expressed in the brain, can be immunosuppressive, but its effects on lymphocyte-mediated neuroinflammation in AD pathogenesis have not been well addressed. In the current study we administered TGF-β1 via intracerebroventricle (ICV) and intranasal (IN) routes in AD model rats to investigate its antiinflammatory and neuroprotective effects. The AD rat model was prepared by bilateral hippocampal injection of amyloid-β (Aβ)1-42. TGF-β1 was administered via ICV one hour prior to Aβ1-42 injection or via both nares seven days after Aβ1-42 injection. ICV administration of TGF-β1 before Aβ1-42 injection remarkably ameliorated Aβ1-42-induced neurodegeneration and prevented Aβ1-42-induced increases in glia-derived proinflammatory mediators (TNF-α, IL-1β and iNOS), as well as T cell-derived proinflammatory cytokines (IFN-γ, IL-2, IL-17 and IL-22), in the hypothalamus, serum or cerebrospinal fluid (CSF) in a concentration-dependent manner. TGF-β1 pretreatment also prevented Aβ1-42-induced decreases in the neurotrophic factors, IGF-1, GDNF and BDNF, and in the antiinflammatory cytokine, IL-10. Similarly, IN administration of TGF-β1 after Aβ1-42 injection reduced neurodegeneration, elevation of proinflammatory mediators and cytokines, and reduction of neurotrophic and antiinflammatory factors, in the hypothalamus, serum or CSF. These findings suggest that TGF-β1 suppresses glial and T cell-mediated neuroinflammation and thereby alleviates AD-related neurodegeneration. The effectiveness of IN administered TGF-β1 in reducing Aβ1-42 neurotoxicity suggests a possible therapeutic approach in patients with AD.
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“Another study confirmed the increase in pro-inflammatory cytokines and reduced antiinflammatory cytokines and BDNF protein levels and gene expression after Aβ1–42 injection [155].”
From Brain-Derived Neurotrophic Factor in Brain Disorders: Focus on Neuroinflammation (2019) · cites this paper as [155]
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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
The rat brain in stereotaxic coordinates
Palkovits, M. (1983) · Neuropeptides · doi:10.1016/0143-4179(83)90049-5 · Cited by 28,959
The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585
Microglia-mediated neurotoxicity: uncovering the molecular mechanisms
Block, M. L., Zecca, L., & Hong, J.-S. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2038 · Cited by 4,110
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
TRANSFORMING GROWTH FACTOR-β REGULATION OF IMMUNE RESPONSES
Li, M. O., Wan, Y. Y., Sanjabi, S., Robertson, A.-K. L., & Flavell, R. A. (2005) · Annual Review of Immunology · doi:10.1146/annurev.immunol.24.021605.090737 · Cited by 2,264
Neurodegeneration induced by beta-amyloid peptides in vitro: the role of peptide assembly state
Pike, C., Burdick, D., Walencewicz, A., Glabe, C., & Cotman, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-04-01676.1993 · Cited by 1,417
New insights into TGF-β–Smad signalling
ten Dijke, P., & Hill, C. S. (2004) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2004.03.008 · Cited by 1,176
Thorne, R. G., Pronk, G. J., Padmanabhan, V., & Frey, W. H. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2004.05.029 · Cited by 958
A Review: Inflammatory Process in Alzheimer's Disease, Role of Cytokines
Rubio-Perez, J. M., & Morillas-Ruiz, J. M. (2012) · The Scientific World JOURNAL · doi:10.1100/2012/756357 · Cited by 864
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Microglial Activation Results in Inhibition of TGF-β-Regulated Gene Expression
Affram, K. O., Mitchell, K., & Symes, A. J. (2017) · Journal of Molecular Neuroscience · doi:10.1007/s12031-017-0980-3 · Cited by 15
Siffrin, V. (2025) · Glia · doi:10.1002/glia.70044 · Cited by 10
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Wang, X., Yu, W., Fu, X. L., Ke, M., Xiao, Q., & Lü, Y. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.09.037 · Cited by 9
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Kostić, M. S., Živković, N., Cvetanović, A., Bašić, J., & Stojanović, I. R. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0090 · Cited by 8
Puranik, N., & Song, M. (2025) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/0118715273355336250226055826 · Cited by 9
Duong, Q.-V., Kintzing, M. L., Kintzing, W. E., Abdallah, I. M., Brannen, A. D., & Kaddoumi, A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061489 · Cited by 6
Vasco, V. R. L. (2023) · OBM Geriatrics · doi:10.21926/obm.geriatr.2302234 · Cited by 6
Nehme, S. B. S., Sánchez‐Sarasúa, S., Adel, R., Tuifua, M., Ali, A. M., Essawy, A. E., Salam, S. A., Hleihel, W., Boué‐Grabot, É., & Landry, M. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1288994 · Cited by 6
Sun, Z., Li, Y., Xv, Z., Zhang, Y., & Mi, W. (2019) · Journal of Cellular Biochemistry · doi:10.1002/jcb.29188 · Cited by 6
Astrocytes phenomics as new druggable targets in healthy aging and Alzheimer’s disease progression
Lana, D., Ugolini, F., Iovino, L., Attorre, S., & Giovannini, M. G. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1512985 · Cited by 6
Amyloid beta 1–42-induced animal model of dementia
Budni, J., & de Oliveira, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815868-5.00054-2 · Cited by 4
Dexamethasone does not ameliorate gliosis in a mouse model of neurodegenerative disease
Ye, X., Zou, G., Hou, J., Bi, H., Zhou, C., Wang, R., Xu, Y., Wang, C., Chen, G., Yin, Z., et al. (2020) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2020.100817 · Cited by 4
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Torres, N., Molina, E., & Pujo-Menjouet, L. (2025) · Journal of Mathematical Biology · doi:10.1007/s00285-025-02227-8 · Cited by 5
Dare, W. N., Avwioro, G. O., & Igbigbi, P. S. (2015) · Cited by 4
Arslan, S. O., Uysal, F., Koç, A., & Çam, S. A. (2025) · Çukurova medical journal (Online)/Çukurova medical journal · doi:10.17826/cumj.1588353 · Cited by 3
Eshwaraiah, P. K. S., Bairy, K. L., Kiran, A., Shivakumar Reddy, K., Konuri, A., & Nayak, V. (2025) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2025.178470 · Cited by 3
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Pu, L., Liu, J., Kong, S., Joyama, Y., Gong, X., Ji, X., & Dong, H. (2026) · CNS Drugs · doi:10.1007/s40263-026-01278-9 · Cited by 3
Tiong, S. Q., Mohgan, R., Quek, J. Y., Liew, J. Y. S., Wong, G. Y. S., Thang, Z. Q., Chan, Z. L., Gan, S. Y., & Chan, E. W. L. (2025) · Neurology Research International · doi:10.1155/nri/8948290 · Cited by 3
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dos Santos, L. B. C., Guedes, F., Achkar, S. M., Duarte, M. I. S., Katz, I. S. S., Silva, S. R. D. O., & Fernandes, E. R. (2020) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2020.577263 · Cited by 2
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Li, Y., Sun, A., Han, J., Hong, R., Cao, C., Zhou, A., Fan, Z., Zhang, L., & Qu, X. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70644 · Cited by 1
Sharma, A., Feng, L., Muresanu, D. F., Tian, Z. R., Lafuente, J. V., Buzoianu, A. D., Nozari, A., Bryukhovetskiy, I., Manzhulo, I., Wiklund, L., et al. (2023) · Advances in neurobiology · doi:10.1007/978-3-031-32997-5_1 · Cited by 1
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Jagota, A., Priyanka, Bussa, B. R., & Gunda, V. (2024) · Healthy ageing and longevity · doi:10.1007/978-3-031-68513-2_15 · Cited by 1
Antyborzec, I. (2016) · Dublin City University Open Access Institutional Repository (Dublin City University)
Lin, C.-C., Lin, H., & Chiu, H. (2020) · Otology & Neurotology · doi:10.1097/mao.0000000000002795
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Singh, Y. R., Shukla, A., & Pattanayek, S. K. (2022) · Springer eBooks · doi:10.1007/978-981-16-3667-7_3
卢, 裕. (2023) · Hans Journal of Biomedicine · doi:10.12677/hjbm.2023.131005
Oruç, K. Y., Oruç, A., Ağtürk, G., Yanar, K., & Seymen, H. O. (2024) · Research Square · doi:10.21203/rs.3.rs-4736431/v1
Therapeutic Targets Through Clinical Biomarkers Detection in Alzheimer's Disease
Shaikh, Z. P., & Bhise, S. B. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-5464-3.ch012
Fedorova, E. V., Chernomorets, I. Y., Fedorov, D. A., & Arkhipov, V. I. (2025) · Neuroscience Letters · doi:10.1016/j.neulet.2025.138182
Dynamics of concentration of neuroinflammatory molecules in ischemic stroke
Ma-Van-de, А. Y., & Фефелова, Е. В. (2025) · Zabajkalʹskij medicinskij vestnik · doi:10.52485/19986173_2025_1_72
Analysis and Control of Alzheimers Disease Models
Lakshmi, N. S. (2025) · Journal of Biomedical Research & Environmental Sciences · doi:10.37871/jbres2124
Gonçalves, A. E., SPIGARIOL, O., da Silva, L. M., Rego, Y. D. F., Herrera‐Arozamena, C., Rodrı́guez-Franco, M. I., de Fátima, Â., Doring, T. H., ARAUJO, L. A., Macedo, M. L. R., et al. (2025) · Anais da Academia Brasileira de Ciências · doi:10.1590/0001-3765202520241163 · Cited by 1
Che, Y., Qin, C., & Cui, Y. (2025) · Research Square · doi:10.21203/rs.3.rs-7522220/v1
Porcher, L., Bruckmeier, S., Burbano, S. D., Finnell, J. E., Gorny, N., Klett, J., Wood, S. K., & Kelly, M. P. (2021) · Figshare · doi:10.6084/m9.figshare.16664591
Zhou, Y., Xu, J., Hou, Y., Leverenz, J. B., Kallianpur, A. R., Mehra, R., Liu, Y., Yu, H., Pieper, A. A., Jehi, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14759706
Zhou, Y., Xu, J., Hou, Y., Leverenz, J. B., Kallianpur, A. R., Mehra, R., Liu, Y., Yu, H., Pieper, A. A., Jehi, L., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14759694
Murakami, Y., Hosomi, R., Tanaka, G., Murakami, H., Kanto, A., Kimura, T., Imamura, Y., Yoshida, M., & Fukunaga, K. (2026) · Scientific Reports · doi:10.1038/s41598-026-38717-y · Cited by 1
Neuropilins in Multiple Sclerosis: Dual Roles of NRP-1 in Neuroinflammation and Neuroprotection
Goleij, P., Babamohamadi, M., Heidari, M. M., Tabari, M. A. K., Abolfazli, S., Mohammadi, S., Sanaye, P. M., Arefnezhad, R., Aschner, M., Khan, H. Z., et al. (2026) · NeuroMolecular Medicine · doi:10.1007/s12017-026-08918-9
Aljuhani, M., Ashraf, A., Alqarni, A., Alshuhri, M. S., Alkhybari, E. M., AlHarbi, A., Almudayni, A., Alablani, F. J., Akhmimi, A., & Alhulail, A. A. (2026) · Neurology International · doi:10.3390/neurolint18070138
Vidos, C., Busso, M. M., Millan, A., Silveri, C. D., Frischknecht, E., Campaniello, G., Ramos, A. J., & Villarreal, A. (2026) · Journal of Neurochemistry · doi:10.1111/jnc.70524
Chandra, S., Singh, R., & Bansal, R. (2026) · Discover Chemistry. · doi:10.1007/s44371-026-00885-1
Wani, O. H., Dhaka, P., Pinky, Chaudhary, S. S., Wani, A. A., Iqbal, A., Parvez, S., & Dar, T. A. (2026) · Metabolic Brain Disease · doi:10.1007/s11011-026-01952-3
Maglio, G. M., de Melo, N. C., & de Carvalho, L. M. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06258-0
Talarico, M., Quattrone, A., Benedetto, G. L., Covello, R., Martini, M., Zuccalà, V., Cuda, G., Parrotta, E. I., & Quattrone, A. (2026) · Movement Disorders · doi:10.1002/mds.70574
Metadata
- Authors
- Chen, J.-H., Ke, K.-F., Lu, J.-H., Qiu, Y.-H., & Peng, Y.-P.
- Affiliations
- Nantong University (CN)
- Corresponding author
- Peng, Yu-Ping
- ORCID
- Peng, Yu-Ping
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-02-06
- Volume
- 10
- Issue
- 2
- Pages
- e0116549
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4319949
- OpenAlex
- W2047256501
- Cited by
- 151
- References
- 55
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 11 · 2023: 9 · 2022: 10 · 2021: 17 · 2020: 20 · 2019: 12 · 2018: 18 · 2017: 10 · 2016: 14 · 2015: 4
- FWCI
- 11.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Rochester
- National Natural Science Foundation of China (31371182, 81271323)
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- TGF-β1, Alzheimer's disease, neuroinflammation, neurodegeneration, amyloid-beta 42, Th17 cells, intranasal administration, intracerebroventricular administration, neuroprotection, neurotrophic factors, brain-derived neurotrophic factor, IL-10, inflammatory cytokines, glial activation, hypothalamus
- MeSH terms
- Administration, Intranasal, Alzheimer Disease, Animals, Anti-Inflammatory Agents, Disease Models, Animal, Hypothalamus, Inflammation, Injections, Nerve Degeneration, Neuroglia, Peptide Fragments, Cytokines, Amyloid beta-Peptides, Rats, Sprague-Dawley, Neuroprotective Agents, Rats, Transforming Growth Factor beta1
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