Streptozotocin-induced astrocyte mitochondrial dysfunction is ameliorated by FTO inhibitor MO-I-500
Abstract
The pathogenesis of Alzheimer's disease (AD), the most prevalent form of dementia, remains unclear. Over the past few years, evidence has accumulated indicating that perturbed cerebral bioenergetics and neuroinflammation may compromise cognitive functions and precedes the onset of AD and that impaired function of glial cells can likely contribute to the development of the disease. Recently, N6-methyladenosine (m6A) modification of RNA has been implicated in the regulation of different processes in the brain and to play a potential role in neurodegeneration. In the present study, we investigated the potential role of the m6A machinery enzymes in a streptozotocin (STZ) model of AD in human astrocytoma CCF-STTG1 cells. We observed that STZ-treated astrocytes expressed significantly higher levels of m6A demethylase fat mass and obesity-associated protein (FTO) and m6A reader YTHDF1 (YTH domain-containing family protein 1). Our experiments revealed that MO-I-500, a novel pharmacological inhibitor of FTO, can strongly reduce the adverse effects of STZ. Inhibition of FTO enhanced the survival of cells exposed to STZ and suppressed oxidative stress, apoptosis, elevated expression of glial fibrillary acidic protein, mitochondrial dysfunction, and bioenergetic disturbances induced by this compound. Overall, the results of this study indicate that perturbed m6A signaling may be contributing to AD pathogenesis, likely by compromising astrocyte bioenergetics.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
m6A regulates inflammation, macrophages and also astrocytosis.
“Such results are consistent with emerging studies showing that m6A regulates inflammation, macrophages and also astrocytosis (Cockova et al., 2021; Yi et al., 2021; Sun Z. et al., 2022; Sun J. et al., 2022; Wang et al., 2022).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Cockova et al., 2021
Cites
Mosmann, T. (1983) · Journal of Immunological Methods · doi:10.1016/0022-1759(83)90303-4 · Cited by 56,104 · see citing works
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484 · see citing works
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 · see citing works
Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., et al. (2007) · Science · doi:10.1126/science.1141634 · Cited by 4,531 · see citing works
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223 · see citing works
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
Jia, G., Fu, Y., Zhao, X., Dai, Q., Zheng, G., Yang, Y., Yi, C., Lindahl, T., Pan, T., Yang, Y.-G., et al. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.687 · Cited by 4,106 · see citing works
Fang, E. F., Hou, Y., Palikaras, K., Adriaanse, B. A., Kerr, J. S., Yang, B., Lautrup, S., Hasan-Olive, M. M., Caponio, D., Dan, X., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0332-9 · Cited by 1,740 · see citing works
In-vivo measurement of activated microglia in dementia
Cagnin, A., Brooks, D. J., Kennedy, A. M., Gunn, R. N., Myers, R., Turkheimer, F. E., Jones, T., & Banati, R. B. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05625-2 · Cited by 1,054 · see citing works
Lian, H., Yang, L., Cole, A., Sun, L., Chiang, A. C.-A., Fowler, S. W., Shim, D. J., Rodriguez-Rivera, J., Taglialatela, G., Jankowsky, J. L., et al. (2015) · Neuron · doi:10.1016/j.neuron.2014.11.018 · Cited by 697 · see citing works
Abramov, A. Y., Canevari, L., & Duchen, M. R. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4042-03.2004 · Cited by 587 · see citing works
Joshi, A. U., Minhas, P. S., Liddelow, S. A., Haileselassie, B., Andreasson, K. I., Dorn, G. W., & Mochly-Rosen, D. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0486-0 · Cited by 571 · see citing works
Astrocytic Insulin Signaling Couples Brain Glucose Uptake with Nutrient Availability
García‐Cáceres, C., Quarta, C., Varela, L., Gao, Y., Gruber, T., Legutko, B., Jastroch, M., Johansson, P., Ninkovic, J., Yi, C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.028 · Cited by 516 · see citing works
Fredriksson, R., Hägglund, M., Olszewski, P. K., Stephansson, O., Jacobsson, J. A., Olszewska, A., Levine, A. S., Lindblom, J., & Schiöth, H. B. (2008) · Endocrinology · doi:10.1210/en.2007-1457 · Cited by 379 · see citing works
Streptozotocin‐Induced Diabetic Models in Mice and Rats
Wu, K. K., & Huan, Y. (2008) · Current Protocols in Pharmacology · doi:10.1002/0471141755.ph0547s40 · Cited by 376 · see citing works
Grieb, P. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9132-3 · Cited by 362 · see citing works
CSF biomarkers of neuroinflammation and cerebrovascular dysfunction in early Alzheimer disease
Janelidze, S., Mattsson, N., Stomrud, E., Lindberg, O., Palmqvist, S., Zetterberg, H., Blennow, K., & Hansson, O. (2018) · Neurology · doi:10.1212/wnl.0000000000006082 · Cited by 359 · see citing works
The m6A epitranscriptome: transcriptome plasticity in brain development and function
Livneh, I., Moshitch-Moshkovitz, S., Amariglio, N., Rechavi, G., & Dominissini, D. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0244-z · Cited by 330 · see citing works
Targeting Astrocytes Ameliorates Neurologic Changes in a Mouse Model of Alzheimer's Disease
Furman, J. L., Sama, D. M., Gant, J. C., Beckett, T. L., Murphy, M. P., Bachstetter, A. D., Van Eldik, L. J., & Norris, C. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2323-12.2012 · Cited by 313 · see citing works
Abnormality of m6A mRNA methylation is involved in Alzheimer’s disease
Han, M., Liu, Z., Xu, Y., Liu, X., Wang, D., Li, F., Wang, Y., & Bi, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00098 · Cited by 286 · see citing works
Chen, Y., Liang, Z., Blanchard, J., Dai, C., Sun, S., Lee, M. H., Grundke, I., Iqbal, K., Liu, F., & Gong, C. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8375-5 · Cited by 286 · see citing works
Ho, A. J., Stein, J. L., Hua, X., Lee, S., Hibar, D. P., Leow, A., Dinov, I. D., Toga, A. W., Saykin, A. J., Shen, L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910878107 · Cited by 242 · see citing works
Dysfunctional Mitochondria and Mitophagy as Drivers of Alzheimer’s Disease Pathogenesis
Chakravorty, A., Jetto, C. T., & Manjithaya, R. R. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00311 · Cited by 219 · see citing works
m6A Reader YTHDF2 Regulates LPS-Induced Inflammatory Response
Yu, R., Li, Q., Feng, Z., Cai, L., & Xu, Q. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061323 · Cited by 217 · see citing works
Down-Regulation of m6A mRNA Methylation Is Involved in Dopaminergic Neuronal Death
Chen, X., Yu, C., Guo, M., Zheng, X., Ali, S., Huang, H., Zhang, L., Wang, S., Huang, Y., Qie, S., et al. (2019) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00657 · Cited by 212 · see citing works
Keller, L., Xu, W., Wang, H., Winblad, B. G., Fratiglioni, L., & Graff, C. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-101068 · Cited by 191 · see citing works
Does Greater Adiposity Increase Blood Pressure and Hypertension Risk?
Timpson, N. J., Harbord, R. M., Smith, G. D., Zacho, J., Tybjærg‐Hansen, A., & Nordestgaard, B. G. (2009) · Hypertension · doi:10.1161/hypertensionaha.109.130005 · Cited by 187 · see citing works
Timper, K., del Río-Martín, A., Cremer, A. L., Bremser, S., Alber, J., Giavalisco, P., Varela, L., Heilinger, C., Nolte, H., Trifunovic, A., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.05.001 · Cited by 170 · see citing works
Wang, X., Huang, N., Yang, M., Wei, D., Tai, H., Han, X., Gong, H., Zhou, J., Qin, J., Wei, X., et al. (2017) · Cell Death and Disease · doi:10.1038/cddis.2017.122 · Cited by 166 · see citing works
Altered Expression of the m6A Methyltransferase METTL3 in Alzheimer’s Disease
Huang, H., Camats‐Perna, J., Medeiros, R., Anggono, V., & Widagdo, J. (2020) · eNeuro · doi:10.1523/eneuro.0125-20.2020 · Cited by 165 · see citing works
Zhuang, C., Zhuang, C., Luo, X., Huang, X., Lv, Y., Li, J., Li, Y., Xiong, T., Ye, J., Zhang, F., et al. (2019) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14128 · Cited by 152 · see citing works
Alzheimer's disease: the amyloid hypothesis and the Inverse Warburg effect
Demetrius, L., Magistretti, P. J., & Pellerin, L. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2014.00522 · Cited by 142 · see citing works
FTO is involved in Alzheimer's disease by targeting TSC1-mTOR-Tau signaling
Li, H., Ren, Y., Mao, K., Hua, F., Yang, Y., Wei, N., Yue, C., Li, D., & Zhang, H. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.02.201 · Cited by 142 · see citing works
Du, L., Chai, D., Zhao, L., Li, X.-H., Zhang, F.-C., Zhang, H., Liu, L.-B., Wu, K., Liu, R., Wang, J., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140564 · Cited by 138 · see citing works
Singh, B., Kinne, H. E., Milligan, R. D., Washburn, L. J., Olsen, M. J., & Lucci, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159072 · Cited by 137 · see citing works
Self-citationSarıbaş, A. S., Cicalese, S. M., Ahooyi, T. M., Khalili, K., Amini, S., & Sariyer, I. K. (2017) · Cell Death and Disease · doi:10.1038/cddis.2016.467 · Cited by 136 · see citing works
Synthesis of a FTO Inhibitor with Anticonvulsant Activity
Zheng, G., Cox, T., Tribbey, L., Wang, G. Z., Iacoban, P., Booher, M. E., Gabriel, G. J., Zhou, L., Bae, N. S., Rowles, J., et al. (2014) · ACS Chemical Neuroscience · doi:10.1021/cn500042t · Cited by 133 · see citing works
Self-citationBravard, A., Lefai, É., Meugnier, E., Pesenti, S., Disse, E., Vouillarmet, J., Peretti, N., RABASA-LHORET, R. P. R., Laville, M., Vidal, H., et al. (2010) · Diabetes · doi:10.2337/db10-0281 · Cited by 124 · see citing works
Wen, L., Sun, W., Xia, D., Wang, Y., Li, J., & Yang, S. T. (2020) · Neuroreport · doi:10.1097/wnr.0000000000001550 · Cited by 120 · see citing works
Genetic Variants in the Fat and Obesity Associated (FTO) Gene and Risk of Alzheimer's Disease
Reitz, C., Tosto, G., Mayeux, R. P., Luchsinger, J. A., & the NIA-LOAD/NCRAD Family Study Group and the Alzheimer's Disease Neuroimaging Initiative (2012) · PLoS ONE · doi:10.1371/journal.pone.0050354 · Cited by 109 · see citing works
Arendt, T., & Bullmann, T. (2013) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00117.2013 · Cited by 77 · see citing works
Saxena, G., Patro, I. K., & Nath, C. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.04.039 · Cited by 73 · see citing works
Elevated UCP1 levels are sufficient to improve glucose uptake in human white adipocytes
Tews, D., Pula, T., Funcke, J., Jastroch, M., Keuper, M., Debatin, K., Wabitsch, M., & Fischer‐Posovszky, P. (2019) · Redox Biology · doi:10.1016/j.redox.2019.101286 · Cited by 52 · see citing works
Hypoglycemia Induces Tau Hyperphosphorylation
Lee, C.-W., Shih, Y., Wu, S.-Y., Yang, T., Lin, C., & Kuo, Y. (2013) · Current Alzheimer Research · doi:10.2174/1567205011310030009 · Cited by 52 · see citing works
Biswas, J., Goswami, P., Gupta, S., Joshi, N., Nath, C., & Singh, S. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9144-z · Cited by 49 · see citing works
Svobodová, I., Bhattaracharya, A., Ivetic, M., Bendová, Z., & Zemkova, H. W. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00192 · Cited by 39 · see citing works
AMPK Ameliorates Tau Acetylation and Memory Impairment Through Sirt1
Wang, L., Shi, F.-X., Li, N., Cao, Y., Lei, Y., Wang, J., Tian, Q., & Zhou, X. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-02079-x · Cited by 34 · see citing works
Wang, Y., Rao, K., Yuan, L., Everaert, N., Buyse, J. G., Großmann, R., & Zhao, R. (2012) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2012.08.009 · Cited by 30 · see citing works
Pitman, R. T., Fong, J., Billman, P., & Puri, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038444 · Cited by 23 · see citing works
Biswas, J., Gupta, S., Verma, D., & Singh, S. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.018 · Cited by 20 · see citing works
Inappropriate Intrusion of an Axonal Mitochondrial Anchor into Dendrites Causes Neurodegeneration
Joshi, D. C., Zhang, C.-L., Babujee, L., Vevea, J., August, B. K., Sheng, Z., Chapman, E. R., Gómez, T. M., & Chiu, S. Y. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.09.012 · Cited by 19 · see citing works
Fu, Y., Zorman, B., Sumazin, P., Sanna, P. P., & Repunte‐Canonigo, V. (2019) · PLoS ONE · doi:10.1371/journal.pone.0203566 · Cited by 12 · see citing works
Fong, R. T. P. J. T. (2013) · Journal of Alzheimer’s Disease & Parkinsonism · doi:10.4172/2161-0460.1000125 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chen, Y., Long, T., Chen, J., Wei, H., Meng, J., Kang, M., Wang, J., Zhang, X., Xu, Q., Zhang, C., et al. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000001794 · Cited by 62 · see citing works
Small molecule inhibitors targeting m6A regulators
Feng, G., Wu, Y., Hu, Y., Wen, S., Yang, X. J., Li, Y., Ouyang, L., & Wang, G. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01546-5 · Cited by 50 · see citing works
Targeting RNA N6-methyladenosine modification: a precise weapon in overcoming tumor immune escape
Li, W., Hao, Y., Zhang, X., Xu, S., & Pang, D. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01652-3 · Cited by 46 · see citing works
Lv, J., Xing, L., Zhong, X., Li, K., Liu, M., & Du, K. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114583 · Cited by 39 · see citing works
You, S., Su, X., Ying, J., Li, S., Qu, Y., & Mu, D. (2022) · Biomolecules · doi:10.3390/biom12081158 · Cited by 35 · see citing works
Özdemir, A. Y., Hofbauerová, K., Kopecký, V., Novotný, J., & Rudajev, V. (2024) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-024-00657-8 · Cited by 27 · see citing works
The Progression of N6-methyladenosine Study and Its Role in Neuropsychiatric Disorders
Lei, C., & Wang, Q. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23115922 · Cited by 24 · see citing works
Novel insights into the interplay between m6A modification and programmed cell death in cancer
Chen, J., Ye, M., Bai, J., Hu, C., Lu, F., Gu, D., Yu, P., & Tang, Q. (2023) · International Journal of Biological Sciences · doi:10.7150/ijbs.81000 · Cited by 24 · see citing works
Pulmonary Hypertension: Molecular Mechanisms and Clinical Studies
Adu‐Amankwaah, J., You, Q., Liu, X., Jiang, J., Yang, D., Liu, K., Yuan, J., Wang, Y., Hu, Q., & Tan, R. (2025) · MedComm · doi:10.1002/mco2.70134 · Cited by 24 · see citing works
Zhang, M., Zhou, Y., Zhang, H., Yin, H., Yu, Z., Yin, Z., Tian, Y., Wang, M., & Ai, S. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.149118 · Cited by 22 · see citing works
RNA N6-Methyladenosine Modifications and Its Roles in Alzheimer’s Disease
Zhang, R., Zhang, Y., Guo, F., Li, S., & Cui, H. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.820378 · Cited by 19 · see citing works
Insights into the role of RNA m6A modification in the metabolic process and related diseases
Hu, H., Li, Z., Xie, X., Liao, Q., Hu, Y., Gong, C., Gao, N., Yang, H., Xiao, Y., & Chen, Y. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.04.038 · Cited by 17 · see citing works
Zhao, L., Guo, J., Xu, S., Duan, M., Liu, B., Zhao, H., Wang, Y., Liu, H., Yang, Z., Yuan, H., et al. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.04.016 · Cited by 17 · see citing works
Jiang, L., Roberts, R., Wong, M., Zhang, L., Webber, C. J., Libera, J., Wang, Z., Kilci, A., Jenkins, M., Ortiz, A. R., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1372297 · Cited by 15 · see citing works
m6A methylation in cellular senescence of age-associated diseases
Gao, P., Yao, F., Pang, J., Yin, K., & Zhu, X. (2023) · Acta Biochimica et Biophysica Sinica · doi:10.3724/abbs.2023107 · Cited by 14 · see citing works
Zhang, J., Ma, W., Liu, R., Li, X., Yuan, Z., & Cheng, J. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-01648 · Cited by 10 · see citing works
N6-Methyladenosine Methylation of mRNA in Cell Senescence
Zhang, L., & Xia, J. (2021) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-021-01168-2 · Cited by 9 · see citing works
The Potential Role of m6A in the Regulation of TBI-Induced BGA Dysfunction
Huang, P., Liu, M., Zhang, J., Zhong, X., & Zhong, C. (2022) · Antioxidants · doi:10.3390/antiox11081521 · Cited by 7 · see citing works
The m6A Modification in Neurodegenerative Disease: A Cellular Perspective
Wang, S., Feng, Z., Wu, H., Wang, S., Qin, S., Wang, X., Zhou, F., Zheng, K., Huang, X., & Liu, X. (2025) · Cells · doi:10.3390/cells14221820 · Cited by 6 · see citing works
Zhang, J., Zhang, H., Chen, L., Wu, Y., Xie, J., Yang, Y., Chen, A., Shahatiaili, A., Muhammad, S., Yang, W., et al. (2025) · Journal of Hematology & Oncology · doi:10.1186/s13045-025-01762-7 · Cited by 7 · see citing works
FTO in oral diseases: Functions, mechanisms, and therapeutic potential
Li, B., Wang, L., Du, M. Q., & He, H. (2024) · The FASEB Journal · doi:10.1096/fj.202401406rr · Cited by 5 · see citing works
Jiang, L., Roberts, R., Wong, M., Zhang, L., Webber, C. J., Kilci, A., Jenkins, M., Sun, G., Rashad, S., Sun, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.28.534515 · Cited by 6 · see citing works
N6-Methyladenosine in Vascular Aging and Related Diseases: Clinical Perspectives
Li, C., Liu, L., Li, S., & Liu, Y. (2023) · Aging and Disease · doi:10.14336/ad.2023.0924-1 · Cited by 4 · see citing works
N6-methyladenosine methylation in ophthalmic diseases: From mechanisms to potential applications
Li, B., Wang, Z., Zhou, H., Zou, J., Yoshida, S., & Zhou, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23668 · Cited by 4 · see citing works
Ding, J., Zhang, K., Dong-wei, W., & Wang, Q. (2024) · Toxicology Research · doi:10.1093/toxres/tfae100 · Cited by 3 · see citing works
Greco, D., Čočková, Z., Das, D., Mali, A. S., Novotný, J., Olsen, M. J., & Telenský, P. (2026) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1736173 · Cited by 2 · see citing works
Self-citationXie, J. M., & Zhang, Z. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03790-1 · Cited by 2 · see citing works
Noncoding RNAs as therapeutic targets in autophagy-related diabetic cardiomyopathy
Break, M. K. B., Syed, R. U., Hussein, W., Alqarni, S., Magam, S. M., Nawaz, M., Shaikh, S., Otaibi, A. A., Masood, N., & Younes, K. M. (2024) · Pathology - Research and Practice · doi:10.1016/j.prp.2024.155225 · Cited by 2 · see citing works
Zheng, Y., Zheng, Y., Chen, P., & Wang, X. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.71051 · Cited by 1 · see citing works
Research Progress on the Effect of FTO Regulating Glucose Metabolism on Islet Function
(2022) · Journal of Contemporary Medical Practice · doi:10.53469/jcmp.2022.04(03).35
Greco, D., Das, D., Novotný, J., Olsen, M. J., & Telenský, P. (2026) · Scientific Reports · doi:10.1038/s41598-026-47881-0
Self-citationLiu, X., Hu, J., Shi, G., Zhu, W., & Hao, Q. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1759661
Tertemiz, S., Detka, J., & Sałat, K. (2026) · Pharmacological Reports · doi:10.1007/s43440-026-00902-1
RNA m6A demethylase FTO in central nervous system disorders: Mechanisms and therapeutic implications
Bi, H., Sun, M., Ma, Q., Li, X., & Wang, Y. (2026) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2026.111942
- Authors
- Cockova, Z., Honc, O., Telensky, P., Olsen, M. J., & Novotny, J.
- Affiliations
- Department of Physiology, Faculty of Science, Charles University, 128 00 Prague, Czech Republic
- Midwestern University (US)
- Venue
- ACS Chemical Neuroscience
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-09-07
- Volume
- 12
- Issue
- 20
- Pages
- 3818-3828
- ISSN
- 1948-7193 (ISSN-L)
- OpenAlex
- W3198600441
- Cited by
- 34
- References
- 52
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 9 · 2023: 8 · 2022: 6 · 2021: 1
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- ACS Chemical Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministerstvo ??kolstv??, Ml??de??e a T??lov??chovy (LQ1605)
- Univerzita Karlova v Praze (SVV-260571/2020)
- Grantov?? Agentura, Univerzita Karlova (1320218)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Keywords
- Alzheimer's disease, streptozotocin, astrocytes, mitochondrial dysfunction, FTO, N6-methyladenosine, m6A demethylation, YTHDF1, oxidative stress, apoptosis, glial fibrillary acidic protein, neuroinflammation, astrocyte survival
- MeSH terms
- Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Adenosine, Astrocytes, Humans, Mitochondria, Streptozocin
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