The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Warburg-like metabolic transformation underlies neuronal degeneration in sporadic Alzheimer’s disease
Open accessAbstract
The drivers of sporadic Alzheimer's disease (AD) remain incompletely understood. Utilizing directly converted induced neurons (iNs) from AD-patient-derived fibroblasts, we identified a metabolic switch to aerobic glycolysis in AD iNs. Pathological isoform switching of the glycolytic enzyme pyruvate kinase M (PKM) toward the cancer-associated PKM2 isoform conferred metabolic and transcriptional changes in AD iNs. These alterations occurred via PKM2's lack of metabolic activity and via nuclear translocation and association with STAT3 and HIF1α to promote neuronal fate loss and vulnerability. Chemical modulation of PKM2 prevented nuclear translocation, restored a mature neuronal metabolism, reversed AD-specific gene expression changes, and re-activated neuronal resilience against cell death.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These neurons exhibited several age-associated dysregulations such as instability of mature neuronal fate, increased cellular senescence, and metabolic shifts (11, 24, 25)”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“but no AD hallmark neuropathology was shown.”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [25]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Recent studies have directly induced neurons from individuals with AD through NGN2/ASCL1 overexpression.”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [25]
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
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
deepTools2: a next generation web server for deep-sequencing data analysis
Ramírez, F., Ryan, D. P., Grüning, B., Bhardwaj, V., Kilpert, F., Richter, A. S., Heyne, S., Dündar, F., & Manke, T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw257 · Cited by 8,096
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Pang, Z., Chong, J., Zhou, G., Morais, D. A. D. L., Chang, L., Barrette, M., Gauthier, C., Jacques, P., Li, S., & Xia, J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab382 · Cited by 3,972
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233
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
Pyruvate Kinase M2 Is a PHD3-Stimulated Coactivator for Hypoxia-Inducible Factor 1
Luo, W., Hu, H., Chang, R., Zhong, J., Knabel, M., O'Meally, R., Cole, R. N., Pandey, A., & Semenza, G. L. (2011) · Cell · doi:10.1016/j.cell.2011.03.054 · Cited by 1,463
Zebrafish heart regeneration occurs by cardiomyocyte dedifferentiation and proliferation
Jopling, C., Sleep, E., Raya, M., Martí, M., Raya, A., & Belmonte, J. C. I. (2010) · Nature · doi:10.1038/nature08899 · Cited by 1,333
Nuclear PKM2 regulates β-catenin transactivation upon EGFR activation
Yang, W., Xia, Y., Ji, H., Zheng, Y., Liang, J., Huang, W., Gao, X., Aldape, K., & Lu, Z. (2011) · Nature · doi:10.1038/nature10598 · Cited by 1,051
Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–177 of 177
Wen, Y., Dou, Y., Chen, X., Liu, X., Yang, Z., Zhu, Y., Li, Z., Deng, C., Deng, Y., Su, W., et al. (2026) · Journal of Neuroinflammation · doi:10.1186/s12974-026-03838-8 · Cited by 4
Past, Present, and Future of Direct Cell Reprogramming
Ahlenius, H. (2022) · Cellular Reprogramming · doi:10.1089/cell.2022.0110 · Cited by 4
Li, N., Huang, X., Zou, T., Wu, X., Yang, S., Xu, Z., Dai, J., Wang, K., & Zhao, J. (2025) · Oral Science and Homeostatic Medicine · doi:10.26599/oshm.2025.9610011 · Cited by 3
Zhang, J., Wang, C., Chang, K., Peng, T., Liang, C., Cheng, J., Shi, Y., Wang, X., Wang, Z., Tan, Y. Y., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251355596 · Cited by 3
From Young to Old: Mimicking Neuronal Aging in Directly Converted Neurons from Young Donors
Varghese, N., Grimm, A., Cader, M. Z., & Eckert, A. (2024) · Cells · doi:10.3390/cells13151260 · Cited by 3
Goyani, S., Shukla, S., Saranga, M. V., Mane, M., Chandak, N., Singh, J., Jadiya, P., Tomar, D., & Singh, R. K. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.05.394 · Cited by 3
The Prime and Integral Cause of Cancer in the Post-Warburg Era
Harguindey, S., Reshkin, S. J., & Alfarouk, K. O. (2023) · Cancers · doi:10.3390/cancers15020540 · Cited by 3
Walking the high wire: How neurons maintain stability in the crossline of neurodegeneration
Victor, M. B., & Tsai, L. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.08.013 · Cited by 3
Hou, X., Jiang, J., & Deng, M. (2025) · Journal of Neurology · doi:10.1007/s00415-025-13028-w · Cited by 2
Dehkordi, S. K., Sajedi, S., Heshmat, A., Orr, M. E., & Zare, H. (2025) · npj Aging · doi:10.1038/s41514-025-00235-y · Cited by 2
Wang, Y., Wang, Y., Zhang, W., Xu, Y., Narayan, N. S., Cheng, H., Yang, H., Huang, Y., Zhang, C. M., & Wang, C. (2025) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c02549 · Cited by 2
Boustani, A., Laird, A. E., Shu, L., Sundermann, E. E., Moore, D. J., Rissman, R. A., & Fields, J. A. (2026) · NeuroImmune Pharmacology and Therapeutics · doi:10.1515/nipt-2025-0019 · Cited by 2
Sex differences in brain glucose metabolism and Alzheimer's disease risk and progression
Ramezan, M., Demetriou, A., Burke, S. N., Nalvarte, I., & Shin, A. C. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71491 · Cited by 2
Fan, Q., Xiao, K., Ruhan, A., Gao, L., Wu, Y.-Z., Chen, D., Hu, C., Jia, X.-X., Liu, C.-M., Liu, X., et al. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03621-3 · Cited by 2
Solana‐Balaguer, J., Garcia‐Segura, P., Campoy‐Campos, G., Chicote‐González, A., Fernández‐Irigoyen, J., Santamaría, E., Pérez‐Navarro, E., Masana, M., Alberch, J., & Malagelada, C. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01693-9 · Cited by 2
Zhong, W., Wang, C., & Sun, Y. (2024) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2024.101977 · Cited by 2
Yan, D., Fan, Z., Li, Q., & Chen, Y. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312608 · Cited by 2
Metabolomic of neurodegenerative disorder: Alzheimer’s disease
Ch, R., & Rathor, P. (2024) · Comprehensive analytical chemistry · doi:10.1016/bs.coac.2023.09.011 · Cited by 2
Ketone body β-hydroxybutyrate restores neuronal Tau proteostasis via ketolysis-independent mechanismPreprint
Rossitto, L.-A. M., Foo, J., Silvestri, J. M. D., Lehmann, L. M., Brunelli, M., Nie, Y., Muñoz-Mayorga, D., Xiao, Q., Dai-Liu, A. Y., Jati, S., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.30.702936 · Cited by 2
Zhang, C., Zhang, J., Wang, Y., Wang, Y., Peng, L., Wang, Y., Tang, Z., Yu, J., Zhou, Q., & Cui, F. (2026) · Advanced Science · doi:10.1002/advs.76558 · Cited by 1
Cellular models of stress resistance may pave ways to fight neurodegenerative diseases
Pham, T. N. M., & Behl, C. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00476 · Cited by 1
Origin and Evolution of Induced Pluripotent Stem Cells (IPSCs)
Bandyopadhyay, A. K. (2025) · Magna Scientia Advanced Biology and Pharmacy · doi:10.30574/msabp.2025.15.2.0052 · Cited by 1
Xu, Y., & He, B. (2025) · Letters in Drug Design & Discovery · doi:10.1016/j.lddd.2025.100170 · Cited by 1
Harguindey, S., Reshkin, S. J., Devesa, J., Orozco, J. D. P., Arranz, J. L., & Alfarouk, K. O. (2025) · Medical Research Archives · doi:10.18103/mra.v14i1.7161 · Cited by 1
Pyruvate kinase M2 in Alzheimer’s disease: from dysregulation to therapeutic inhibition
Gojani, E. G., Sutherland, R. J., & Mohajerani, M. H. (2026) · Brain Communications · doi:10.1093/braincomms/fcag054 · Cited by 1
Zhao, Z., Wang, X., Duan, S., Szeto, I. M., Zhang, X., He, J., Li, X., Wang, Z., Zhang, Y., & Muhammad, M. (2026) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.6c00289 · Cited by 1
Zhang, A., Zhang, Z., Liu, R., Zhao, Z., & Liu, L. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-025-07041-w · Cited by 1
“If You Change the Way You Look at Things, Things You Look at Change”
Behl, C. (2023) · Springer eBooks · doi:10.1007/978-3-031-31570-1_21 · Cited by 1
Autophagy regulator ATG5 preserves cerebellar function by safeguarding its glycolytic activityPreprint
Tutas, J., Tolve, M., Özer-Yildiz, E., Ickert, L., Klein, I., Hosseini, M., Liebsch, F., Dethloff, F., Gavalisco, P., Endepols, H., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.27.577372 · Cited by 1
Neuronal hypoglycolysis sustains body health
Pardo, B. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01055-2 · Cited by 1
Pyruvate kinase activates SARM1 to exacerbate axonal degeneration in diabetic peripheral neuropathyPreprint
Liu, J., Li, W., Li, C., Jiang, Y., Zhu, W., Zhang, Z., Zhao, Y. J., Lin, J., & Yu, W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.28.656718 · Cited by 1
Gupta, R., McGinnis, H., Rastegari, E., Price, M. S., & Venkatachalam, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.27.684860 · Cited by 1
Glial Cells in Alzheimer’s Disease
Verkerke, M. L. (2023) · Utrecht University Repository (Utrecht University) · doi:10.33540/1838
Autophagy regulator ATG5 preserves cerebellar function by safeguarding its glycolytic activityPreprint
Kononenko, N. L., Tutas, J., Tolve, M., Özer-Yildiz, E., Ickert, L., Klein, I., Hosseini, M. N. G., Liebsch, F., Dethloff, F., Giavalisco, P., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-3921650/v1
Yao, J., Fu, Z., Li, K., Zheng, J., Chen, Z., Xu, J., Lai, G., Huang, Y., Huang, J., You, G., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.20.599836
Human tau promotes Warburg effect-like glycolytic metabolism under acute hyperglycemia conditionsPreprint
Li, N., Yao, J., Fu, Z., Li, K., Zheng, J., Chen, Z., Xu, J., Lai, G., Huang, Y., Huang, J., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4615661/v1
Yang, L., Hu, C., Chen, X., Zhang, J., Feng, Z., Xiao, Y., He, W., Cui, T., Zhang, X., Yang, Y., et al. (2024) · eLife · doi:10.7554/elife.98181.2
Neural cells derived from pluripotent stem cells and directly induced from somatic cells
Okano, H., & Akamatsu, W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-19041-4.00023-6
Traxler, L., Karbacher, L., Borgogno, O., Ozbun, T., Champion, K., Smaling, A. S., Zhou-Yang, L., Herdy, J. R., Böhnke, L., Böckle, B. C., et al. (2026) · Aging Cell · doi:10.21203/rs.3.rs-6173768/v1
Self-citationPrecision nutrition promotes brain health and prevents cognitive impairment
Zhang, H., JIANG, J., Yuan, S., & Xu, J. Q. (2025) · Scientia Sinica Vitae · doi:10.1360/ssv-2025-0022
Editorial: The contribution of autophagy to neuronal metabolism
Singh, F., Ito, G., & Suomi, F. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1604307
Metabolic Regulation as a Potential Therapeutic Approach for Alzheimer's Disease
Zhong, J., Sun, J., & Zhou, B. (2025) · Current Alzheimer Research · doi:10.2174/0115672050379410250421065857
Jiang, B., Wang, S., Xie, J., Kim, H., Tukker, A. M., Wang, J., Bowman, A. B., Yuan, C., & Baloni, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.03.686281
Mertens, J., Lopes, M., & Pereira, C. (2025) · Cellular Reprogramming · doi:10.1177/21524971251398980
Self-citationPyruvate kinase M2 – linked metabolic pathways in pain modulation
Kalmegh, V., Guha, L., Chatterjee, D. R., Kumar, H., & Shard, A. (2025) · Drug Discovery Today · doi:10.1016/j.drudis.2025.104557
Cellular Distribution of Pyruvate Kinase M2 After Spinal Cord Injury in Adult Rats
Arriero-Cabañero, A., Díaz-Rubio, N., Talabán-Rocha, C., Romero‐Ramírez, L., Buzoianu-Anguiano, V., & Mey, J. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05508-x
Genetic regulators of neuronal survival across metabolic environmentsPreprint
Bennett, N. K., Soto-Muniz, Y., Meng, J. X., Lee, M., Yang, J. L., Flanigan, W., Pico, A. R., Jain, I. H., & Nakamura, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.19.695350
Paciotti, S., Wojdała, A. L., Bellomo, G., Toja, A., Chipi, E., Piersma, S. R., Pham, T. V., Gaetani, L., Jiménez, C. R., Parnetti, L., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23691223
Solana‐Balaguer, J., Garcia‐Segura, P., Campoy‐Campos, G., Chicote‐González, A., Fernández-Irigoyen, J., Santamaría, E., Pérez‐Navarro, E., Masana, M., Alberch, J., & Malagelada, C. (2024) · Figshare · doi:10.6084/m9.figshare.26732530
Qi, A., He, Y., Zhang, F., Liu, S., Xiang, Q., Dong, Y., Wang, B., & Zhao, Y. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00851
Karmakar, A., Roycowdhury, P., Sengupta, P., & Mukhopadhyay, D. (2026) · International review of neurobiology · doi:10.1016/bs.irn.2026.02.007
ALDOA Promotes Glycolysis and NLRP3 / GSDMD Pyroptosis to Accelerate ALS Progression
Yan, K., Jiang, Y., Yong, Y., Zhang, T., Zhang, N., Zeng, Q., Gong, X., Meng, L., Bi, F., & Liu, Y. (2026) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70372
A novel PGK1 activator improves Alzheimer’s disease by regulating glycolysis
Li, M., Qiu, N., Niu, W., Qian, C., Zhang, Y., Yang, W., Ding, F., Wang, H., Xu, X., Xia, J., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02029-0
Metabolic trajectories in developing human neocortical neurons
Ferri, G., Finamore, F., Greco, F., Zanelli, A., Carli, F., Passera, A., Degl’Innocenti, E., Olimpico, F., Ducoli, R., Sgalippa, A., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2509980123
Delobelle, Q. (2024) · theses.fr (ABES) · doi:10.70675/a7e826aazb648z4cecza50dzbe987acb77e6
Behl, C. (2026) · Springer eBooks · doi:10.1007/978-3-662-72210-7_21
Vizuete, A. F. K., Garcez, J. P. M., Pellenz, M. C. M., de Lima, J. A., Taday, J., Souza, J. M., Leite, M. C., & Gonçalves, C. A. (2026) · Journal of Neurochemistry · doi:10.1111/jnc.70434
He, J., Kong, D., Zhang, C., Chen, Q., Yang, H., Wang, Y., Wu, T., & Wu, Q. Y. (2026) · Cardiology Research and Practice · doi:10.1155/crp/1117746
Liu, P., Xu, Y., Che, P., Wang, Y., Zhang, Y., Ji, D., Wang, C. M., Ma, X. Y., Sun, M. Y., & Zhang, N. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04048-9
Glycolysis: The Bridge Between Cellular Interaction and Alzheimer’s Disease
Lei, Q., He, Y., & Fang, B. (2026) · Biomolecules · doi:10.3390/biom16060796
Mei, M., Miao, Q., Li, M. T., Wang, H., Ding, J., Hu, G., & Wei, Y. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.70968
Zhang, Y., Li, S.-Y., Hu, Y.-Z., Ding, Y., Zhang, Y.-T., Zhang, H., Zhang, Y., Xu, L., Zhang, Z., & Li, L. (2026) · Journal of Neuroinflammation · doi:10.1186/s12974-026-03949-2
Cytoplasmic DNA Sensing Links LINE-1 Expression to Neuronal Senescence in Alzheimer’s DiseasePreprint
Herdy, J. R., Taylor, E. E., Karbacher, L., Borgogno, O., Traxler, L., Lagerwall, J., Huynh, V. A., Lefterova, Z. V., Kang, A., Tosat‐Bitrián, C., et al. (2026) · SSRN Electronic Journal · doi:10.64898/2026.07.27.740588 · Cited by 2
Self-citationYang, B., Zhu, Y., Zhan, X., Zhang, Y., Cui, J., Zhou, Y., & Zhu, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.27.740965
Hu, X., Yu, Y., Luo, H., Li, J., Zhang, X., Wang, G., Li, J., Li, J., Chen, H., & Qiu, Y. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00567-z
Reduced expression of Brain Expressed X-linked genes in Alzheimer's disease
Li, L., Kenner, E., Wan, L., Yan, Z., & Feng, J. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261471446
High-Throughput Metabolomics in Transfusion Medicine
Nemkov, T. G., Stephenson, D., Reisz, J. A., & D’Alessandro, A. (2026) · Methods in molecular biology · doi:10.1007/978-1-0716-5376-0_25
Self-citationYi, Y., Chen, C., He, Y., Yu-zhou, S., Cheng, R., Liu, M., Liu, Z., & Zhang, X. (2026) · Medicinal Research Reviews · doi:10.1002/med.70103
Chen, M., Zuo, C., Li, R., Zhang, J., Yao, Z., Li, L., & Cheng, L. (2026) · Discover Neuroscience · doi:10.1186/s13064-026-00314-0
Huang, S., Zhang, Z., Xia, J., Deng, M., Chen, F., Wang, M., Fei, Y., Jiang, Z., Lu, C., Fu, J., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71896
An age-preserving neuronal iSpheroid platform for modeling human aging and Alzheimer’s diseasePreprint
Alsolami, S., Wang, M., Sabedot, T. S., Singh, U., Kirk, B., Mitchell, L. E., Hernandez, M., Skvir, N. J., Bowman, C., Oiwa, K., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.30.755853
Self-citationGlutamine metabolism in health and disease
Zhao, J., Lin, Y., Gao, R., Gao, H., & Li, L. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02981-1
Alzheimer’s disease risk gene Wwox controls amyloid pathology through metabolic reprogramming
Clarke, H., Maddison, D. C., Amadio, L., Buhl, E., O’Hare, K., Regnault, C., Peters, O. M., Hodge, J. J. L., & Smith, G. A. (2026) · Brain Communications · doi:10.1093/braincomms/fcag385
Enzyme−Targeted Therapeutics for Neurological Disorders
Massignan, L., Lokesh, K., Ziadat, S., Uehling, D., Weaver, D. F., & Reed, M. A. (2026) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6c01274
Zhou, S., Yue, C., Wang, P., Cheng, L., Zheng, X., & Yang, H. (2026) · Experimental Neurology · doi:10.1016/j.expneurol.2026.116100
Mitochondrial Gating of the Neuronal Warburg-Like Effect in Neurological Diseases
Ni, Q., Wang, Y., Ge, K., Zhang, S., Liu, Y., Han, L., Guo, Y., & Liu, Y. (2026) · Neuroscience Bulletin · doi:10.1007/s12264-026-01741-z
Gao, W., Gao, J., Su, X., Kong, X., Wei, X., Ding, T., Guo, T., Gao, S., Zhou, Y., Zhou, J., et al. (2026) · Advanced Science · doi:10.1002/advs.78442
Metadata
- Authors
- Traxler, L., Herdy, J. R., Stefanoni, D., Eichhorner, S., Pelucchi, S., Szücs, A., Santagostino, A., Kim, Y., Agarwal, R. K., Schlachetzki, J. C. M., Glass, C. K., Lagerwall, J., Galasko, D., Gage, F. H., D’Alessandro, A., & Mertens, J.
- Affiliations
- Universität Innsbruck (AT)
- Salk Institute for Biological Studies (US)
- University of Colorado Anschutz (US)
- University of Michigan (US)
- University of California San Diego (US)
- Corresponding author
- Traxler, Larissa
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 34
- Issue
- 9
- Pages
- 1248-1263.e6
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC9458870
- OpenAlex
- W4292379491
- Cited by
- 179
- References
- 70
- Citations by year
- 2026: 35 · 2025: 56 · 2024: 49 · 2023: 29 · 2022: 10
- FWCI
- 22.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) (submittedVersion, other-oa)
- Funders
- Alzheimer's Disease Research Center, Emory University (AG062429)
- Leona M. and Harry B. Helmsley Charitable Trust (P30CA23100)
- Marshallplan-Jubiläumsstiftung
- National Institute on Aging (AG056306, AG056511, AG057706)
- BrightFocus Foundation
- European Commission (H2020-MSCA-IF-2017-797205)
- Austrian Science Fund
- Hungarian Scientific Research Fund (ANN-135291)
- European Research Council (ERC-STG-2019-852086)
- Horizon 2020 Marie Skłodowska-Curie Actions
- Milky Way Research Foundation (P30014195)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- sporadic Alzheimer's disease, neurodegeneration, aerobic glycolysis, Warburg effect, PKM2, induced neurons, patient-derived fibroblasts, nuclear translocation, STAT3, HIF-1α, neuronal vulnerability, metabolic reprogramming
- MeSH terms
- Alzheimer Disease, Glycolysis, Humans, Neoplasms, Pyruvate Kinase, Protein Isoforms
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
