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.
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Neurons directly induced from individuals with AD through NGN2/ASCL1 overexpression exhibited age-associated dysregulations such as instability of mature neuronal fate, increased cellular senescence, and metabolic shifts.
“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]
The Results section describes generating AD-patient-derived neurons by overexpressing Ascl1 and Ngn2. The Introduction and Discussion describe loss of mature neuronal identity and a shift toward aerobic glycolysis. The passages do not establish increased cellular senescence in these neurons; preserving donors’ aging signatures is not the same finding. (LLM, conf=0.86)
Experimental — accuracy not yet measuredNo AD hallmark neuropathology was shown in neurons directly induced from individuals with AD through NGN2/ASCL1 overexpression.
“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]
The Results section, “Functional iNs directly converted from fibroblasts of patients with AD and control donors” (page unavailable), confirms that neurons from AD donors were generated by Ascl1 and Ngn2 overexpression. The cited passages do not establish the broader assertion that no AD hallmark neuropathology was shown; the paper also reports AD-related changes in neuronal vulnerability under treatment in “Induction of aerobic glycolysis in iNs causes immature-like apoptotic competency” (page unavailable). (LLM, conf=0.74)
Experimental — accuracy not yet measuredRecent studies have directly induced neurons from individuals with AD through NGN2/ASCL1 overexpression.
“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]
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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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · 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
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 · see citing works
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 · see citing works
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 1,033 · see citing works
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 · see citing works
Grubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956 · see citing works
ERK1/2-dependent phosphorylation and nuclear translocation of PKM2 promotes the Warburg effect
Yang, W., Zheng, Y., Xia, Y., Ji, H., Chen, X., Guo, F., Lyssiotis, C. A., Aldape, K., Cantley, L. C., & Lu, Z. (2012) · Nature Cell Biology · doi:10.1038/ncb2629 · Cited by 910 · see citing works
PKM2 Phosphorylates Histone H3 and Promotes Gene Transcription and Tumorigenesis
Yang, W., Xia, Y., Hawke, D., Li, X., Liang, J., Xing, D., Aldape, K., Hunter, T., Alfred Yung, W. K., & Lu, Z. (2012) · Cell · doi:10.1016/j.cell.2012.07.018 · Cited by 846 · see citing works
Herrero-Mendez, A., Almeida, A., Fernández, E., Maestre, C., Moncada, S., & Bolaños, J. P. (2009) · Nature Cell Biology · doi:10.1038/ncb1881 · Cited by 844 · see citing works
Revisiting the Warburg effect: historical dogma versus current understanding
Vaupel, P. W., & Multhoff, G. (2020) · The Journal of Physiology · doi:10.1113/jp278810 · Cited by 838 · see citing works
NAD+ in Brain Aging and Neurodegenerative Disorders
Lautrup, S., Sinclair, D. A., Mattson, M. P., & Fang, E. F. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.09.001 · Cited by 790 · see citing works
Pyruvate Kinase M2 Regulates Gene Transcription by Acting as a Protein Kinase
Gao, X., Wang, H., Yang, J. J., Liu, X., & Liu, Z.-R. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.01.001 · Cited by 772 · see citing works
Mertens, J., Paquola, A. C. M., Ku, M., Hatch, E., Böhnke, L., Ladjevardi, S., McGrath, S., Campbell, B., Lee, H., Herdy, J. R., et al. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2015.09.001 · Cited by 765 · see citing works
Self-citationZheng, X., Boyer, L., Jin, M., Mertens, J., Kim, Y., Ma, L., Ma, L., Hamm, M., Gage, F. H., & Hunter, T. (2016) · eLife · doi:10.7554/elife.13374 · Cited by 671 · cited 2× · see citing works
“Cancer-like isoform imbalance and nuclear translocation of PKM2 impair the epigenetic landscape of AD iNs The gene co-expression module analysis of our transcriptome data indicates both a direct metabolic and an indirect nuclear effect of increased PKM2/1 ratios to promote neuronal metabolic reprogramming (Zheng et al…”
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Bai, B., Wang, X., Li, Y., Chen, P.-C., Yu, K., Dey, K. K., Yarbro, J. M., Han, X., Lutz, B. M., Rao, S., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.015 · Cited by 632 · cited 4× · see citing works
“…have advanced our understanding of sporadic AD pathology; furthermore, transcriptomics, proteomics, and metabolomics are powerful tools to better understand diseaserelated alterations in human patients (Bai et al., 2020; Higginbotham et al., 2020; Johnson et al., 2020; Seyfried et al., 2017).”
BackgroundInfluentialDNA Replication Precedes Neuronal Cell Death in Alzheimer's Disease
Yang, Y., Geldmacher, D., & Herrup, K. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-08-02661.2001 · Cited by 607 · see citing works
Jovičić, A., Mertens, J., Boeynaems, S., Bogaert, E., Chai, N., Yamada, S. B., Paul, J. W., Sun, S., Herdy, J. R., Bieri, G., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4085 · Cited by 598 · see citing works
Self-citationA multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
De Jager, P. L., Ma, Y., McCabe, C., Xu, J., Vardarajan, B. N., Felsky, D., Klein, H.-U., White, C. C., Peters, M. A., Lodgson, B., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.142 · Cited by 598 · see citing works
Transcriptional Reprogramming of Distinct Peripheral Sensory Neuron Subtypes after Axonal Injury
Renthal, W. R., Tochitsky, I., Yang, L., Cheng, Y., Li, E., Kawaguchi, R., Geschwind, D. H., & Woolf, C. J. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.026 · Cited by 544 · see citing works
Shikonin and its analogs inhibit cancer cell glycolysis by targeting tumor pyruvate kinase-M2
Chen, J., Xie, J., Jiang, Z., Wang, B., Wang, Y., & Hu, X. (2011) · Oncogene · doi:10.1038/onc.2011.137 · Cited by 518 · see citing works
Cell cycle regulation in the postmitotic neuron: oxymoron or new biology?
Herrup, K., & Yang, Y. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2124 · Cited by 507 · see citing works
Seyfried, N. T., Dammer, E. B., Swarup, V., Nandakumar, D., Duong, D. M., Yin, L., Deng, Q., Nguyen, T., Hales, C. M., Wingo, T., et al. (2017) · Cell Systems · doi:10.1016/j.cels.2016.11.006 · Cited by 477 · see citing works
Hou, Y., Lautrup, S., Cordonnier, S., Wang, Y., Croteau, D. L., Zavala, E., Zhang, Y., Moritoh, K., O’Connell, J. F., Baptiste, B. A., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718819115 · Cited by 472 · see citing works
Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA
Kamburov, A., Cavill, R., Ebbels, T. M. D., Herwig, R., & Keun, H. C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr499 · Cited by 403 · see citing works
Higginbotham, L., Ping, L., Dammer, E. B., Duong, D. M., Zhou, M., Gearing, M., Hurst, C., Glass, J. D., Factor, S. A., Johnson, E. C. B., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz9360 · Cited by 367 · see citing works
Glycolysis: a bioenergetic or a survival pathway?
Bolaños, J. P., Almeida, Á., & Moncada, S. (2009) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2009.10.006 · Cited by 359 · see citing works
Mitophagy: An Emerging Role in Aging and Age-Associated Diseases
Chen, G., Kroemer, G., & Kepp, O. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.00200 · Cited by 359 · see citing works
Cardiac regeneration strategies: Staying young at heart
Tzahor, E., & Poss, K. D. (2017) · Science · doi:10.1126/science.aam5894 · Cited by 349 · see citing works
Metabolic Reprograming of Microglia in the Regulation of the Innate Inflammatory Response
Lauro, C., & Limatola, C. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00493 · Cited by 315 · see citing works
Extracting Accurate Precursor Information for Tandem Mass Spectra by RawConverter
He, L., Diedrich, J. K., Chu, Y.-Y., & Yates, J. R. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b02721 · Cited by 308 · see citing works
Brain aging, Alzheimer's disease, and mitochondria
Swerdlow, R. H. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.012 · Cited by 306 · cited 2× · see citing works
“While mitochondrial dysfunctions are known to contribute to the pathology of AD and have been found in PM brain tissues (Swerdlow, 2011), our data support the view that the activation of this anti-neuronal metabolic state is not merely an adaptation to mitochondrial defects but is deliberately…”
BackgroundJMJD5 regulates PKM2 nuclear translocation and reprograms HIF-1α–mediated glucose metabolism
Wang, H., Hsieh, Y., Cheng, W.-C., Lin, C.-P., Lin, Y.-S., Yang, S.-F., Chen, C.-C., Izumiya, Y., Yu, J., Kung, H.-J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311249111 · Cited by 306 · see citing works
Schafer, S. T., Paquola, A. C. M., Stern, S., Gosselin, D., Ku, M., Pena, M., Kuret, T. J. M., Liyanage, M., Mansour, A. A., Jaeger, B. N., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0295-x · Cited by 288 · see citing works
Self-citationInjured adult neurons regress to an embryonic transcriptional growth state
Poplawski, G. H. D., Kawaguchi, R., Van Niekerk, E., Lu, P., Mehta, N., Canete, P., Lie, R., Dragatsis, I., Meves, J. M., Zheng, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2200-5 · Cited by 247 · see citing works
Adult neuron survival strategies — slamming on the brakes
Benn, S. C., & Woolf, C. J. (2004) · Nature reviews. Neuroscience · doi:10.1038/nrn1477 · Cited by 246 · see citing works
Victor, M. B., Richner, M., Olsen, H. E., Lee, S. W., Monteys, A. M., Ma, C., Huh, C. J., Zhang, B., Davidson, B. L., Yang, X. W., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0075-7 · Cited by 246 · see citing works
Age-dependent instability of mature neuronal fate in induced neurons from Alzheimer’s patients
Mertens, J., Herdy, J. R., Traxler, L., Schafer, S. T., Schlachetzki, J. C. M., Böhnke, L., Reid, D. A., Lee, H., Zangwill, D., Fernandes, D. P., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.04.004 · Cited by 240 · see citing works
Self-citationChen, M., Zhang, J., & Manley, J. L. (2010) · Cancer Research · doi:10.1158/0008-5472.can-10-2513 · Cited by 237 · see citing works
Chèneby, J., Gheorghe, M., Artufel, M., Mathelier, A., & Ballester, B. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1092 · Cited by 232 · see citing works
Apoptotic cell death regulation in neurons
Hollville, É., Romero, S. E., & Deshmukh, M. (2019) · FEBS Journal · doi:10.1111/febs.14970 · Cited by 216 · see citing works
Maintenance of age in human neurons generated by microRNA-based neuronal conversion of fibroblasts
Huh, C. J., Zhang, B., Victor, M. B., Dahiya, S., Batista, L. F., Horvath, S., & Yoo, A. S. (2016) · eLife · doi:10.7554/elife.18648 · Cited by 213 · cited 3× · see citing works
“, 2018) and observed increased DNA damage repair in old and AD iNs (Huh et al., 2016; Mertens et al., 2021), AD iNs showed a higher demand for NAD that was”
BackgroundNuclear PKM2 regulates the Warburg effect
Yang, W., & Lu, Z. (2013) · Cell Cycle · doi:10.4161/cc.26182 · Cited by 213 · see citing works
Mature neurons: equipped for survival
Kole, A. J., Annis, R. P., & Deshmukh, M. (2013) · Cell Death and Disease · doi:10.1038/cddis.2013.220 · Cited by 180 · see citing works
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Alves-Filho, J. C., & Pålsson‐McDermott, E. M. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00145 · Cited by 171 · see citing works
Desai, S., Ding, M., Wang, B., Lu, Z., Zhao, Q., Shaw, K. R. M., Yung, W. K. A., Weinstein, J. N., Tan, M., & Yao, J. (2013) · Oncotarget · doi:10.18632/oncotarget.1159 · Cited by 168 · see citing works
PKM2 Inhibitor Shikonin Overcomes the Cisplatin Resistance in Bladder Cancer by Inducing Necroptosis
Wang, Y., Hao, F., Nan, Y.-H., Qu, L., Na, W., Jia, C., & Chen, X. (2018) · International Journal of Biological Sciences · doi:10.7150/ijbs.27854 · Cited by 168 · see citing works
Neuronal cell cycle re-entry mediates Alzheimer disease-type changes
McShea, A., Lee, H., Petersen, R. B., Casadesús, G., Vincent, I. J., Linford, N. J., Funk, J.-O., Shapiro, R. A., & Smith, M. A. (2006) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2006.09.010 · Cited by 166 · see citing works
Natural Product Micheliolide (MCL) Irreversibly Activates Pyruvate Kinase M2 and Suppresses Leukemia
Li, J., Li, S., Guo, J., Li, Q., Long, J., Ma, C., Ding, Y., Yan, C., Li, L., Wu, Z., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b00241 · Cited by 152 · see citing works
Shikonin Inhibits Tumor Growth in Mice by Suppressing Pyruvate Kinase M2-mediated Aerobic Glycolysis
Zhao, X., Zhu, Y., Hu, J., Jiang, L., Li, L., Jia, S., & Zen, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-31615-y · Cited by 152 · see citing works
Cell Cycle Activation and Aneuploid Neurons in Alzheimer's Disease
Arendt, T. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8262-0 · Cited by 133 · see citing works
Sathe, G., Na, C. H., Renuse, S., Madugundu, A. K., Albert, M., Moghekar, A., & Pandey, A. (2019) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.201800105 · Cited by 126 · see citing works
Kim, Y., Zheng, X., Ansari, Z., Bunnell, M. C., Herdy, J. R., Traxler, L., Lee, H., Paquola, A. C. M., Blithikioti, C., Ku, M., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.105 · Cited by 117 · see citing works
Self-citationAfridi, R., Kim, J., Rahman, M. H., & Suk, K. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00020 · Cited by 98 · see citing works
The Role of PKM2 in Metabolic Reprogramming: Insights into the Regulatory Roles of Non-Coding RNAs
Puckett, D. L., Alquraishi, M. I., Chowanadisai, W., & Bettaieb, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031171 · Cited by 93 · see citing works
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Collins, R. R. J., Patel, K., Putnam, W. C., Kapur, P., & Rakheja, D. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2016.267666 · Cited by 90 · see citing works
Arendt, T., Holzer, M., Stöbe, A., GÄRTNER, U., Lüth, H., Brückner, M. K., & Ueberham, U. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06931.x · Cited by 72 · see citing works
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Caldwell, A. B., Liu, Q., Schroth, G. P., Galasko, D. R., Yuan, S. H., Wagner, S. L., & Subramaniam, S. (2020) · Science Advances · doi:10.1126/sciadv.aba5933 · Cited by 69 · see citing works
Self-citationHerdy, J., Schafer, S., Kim, Y., Ansari, Z., Zangwill, D., Ku, M., Paquola, A., Lee, H., Mertens, J., & Gage, F. H. (2019) · eLife · doi:10.7554/elife.41356 · Cited by 64 · see citing works
Self-citationMetabolism navigates neural cell fate in development, aging and neurodegeneration
Traxler, L., Lagerwall, J., Eichhorner, S., Stefanoni, D., D’Alessandro, A., & Mertens, J. (2021) · Disease Models & Mechanisms · doi:10.1242/dmm.048993 · Cited by 57 · see citing works
Self-citationNext‐generation disease modeling with direct conversion: a new path to old neurons
Traxler, L., Edenhofer, F., & Mertens, J. (2019) · FEBS Letters · doi:10.1002/1873-3468.13678 · Cited by 55 · see citing works
Self-citationWang, X., He, H., Xiong, X., Zhou, S., Wang, W., Feng, L., Han, R., & Xie, C. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.668491 · Cited by 54 · see citing works
The role of pyruvate kinase M2 in anticancer therapeutic treatments (Review)
Su, Q., Luo, S., Tan, Q., Deng, J., Zhou, S., Peng, M., Tao, T., & Yang, X. (2019) · Oncology Letters · doi:10.3892/ol.2019.10948 · Cited by 40 · see citing works
Chen, T., Wang, H., Liu, J.-S., Cheng, H.-H., Hsu, S.-C., Wu, M.-C., Lu, C., Wu, Y.-F., Wu, J.-W., Liu, Y.-Y., et al. (2019) · Communications Biology · doi:10.1038/s42003-019-0343-4 · Cited by 30 · see citing works
Molecular and cellular pathology of monogenic Alzheimer’s disease at single cell resolutionPreprint
Marinaro, F., Haneklaus, M., Zhang, Z., Strano, A., Evans, L., Handfield, L., Ryan, N. S., Fox, N. C., Hemberg, M., Ramanathan, S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.14.202317 · Cited by 18 · see citing works
Pircs, K., Drouin‐Ouellet, J., Gil, J., Rezeli, M., Grassi, D. A., Garza, R., Sharma, Y., St‐Amour, I., Jönsson, M. E., Johansson, P. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.01.433433 · Cited by 3 · see citing works
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Cerneckis, J., Cai, H., & Shi, Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01809-0 · Cited by 452 · see citing works
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Li, B., Ming, H., Qin, S., Nice, E. C., Dong, J., Du, Z., & Huang, C. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02095-6 · Cited by 364 · see citing works
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Casanova, A., Wevers, A., Ledesma, S. N., & Pruimboom, L. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1114231 · Cited by 335 · see citing works
Herdy, J. R., Traxler, L., Agarwal, R. K., Karbacher, L., Schlachetzki, J. C. M., Boehnke, L., Zangwill, D., Galasko, D., Glass, C. K., Mertens, J., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.11.010 · Cited by 208 · see citing works
Self-citationZhang, Y., Song, H., Li, M., & Lu, P. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.1614 · Cited by 84 · see citing works
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Sun, Z., Kwon, J.-S., Ren, Y., Chen, S., Walker, C. K., Lu, X., Cates, K., Karahan, H., Sviben, S., Fitzpatrick, J. A. J., et al. (2024) · Science · doi:10.1126/science.adl2992 · Cited by 77 · see citing works
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Ji, Y., Chen, X., Wang, Z., Meek, C. J., McLean, J. L., Yang, Y., Yuan, C., Rochet, J., Liu, F., & Xu, R. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03041-w · Cited by 65 · see citing works
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Arias, C., Sepúlveda, P., Castillo, R. L., & Salazar, L. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24043073 · Cited by 50 · see citing works
SLC31A1 loss depletes mitochondrial copper and promotes cardiac fibrosis
Tu, B., Song, K., Zhou, Z., Lin, L.-C., Liu, Z., Sun, H., Zhou, Y., Sha, J.-M., Shi, Y., Yang, J., et al. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf130 · Cited by 50 · see citing works
Astrocytes in selective vulnerability to neurodegenerative disease
Zimmer, T. S., Orr, A. L., & Orr, A. G. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.02.008 · Cited by 49 · see citing works
Reinventing the Penumbra — the Emerging Clockwork of a Multi-modal Mechanistic Paradigm
Walther, J., Kirsch, E. M., Hellwig, L., Schmerbeck, S. S., Holloway, P. M., Buchan, A. M., & Mergenthaler, P. (2022) · Translational Stroke Research · doi:10.1007/s12975-022-01090-9 · Cited by 47 · see citing works
Metabolic Signatures of Performance in Elite World Tour Professional Male Cyclists
Nemkov, T. G., Cendali, F. I., Stefanoni, D., Martinez, J. L., Hansen, K. C., San-Millán, I., & D’Alessandro, A. (2023) · Sports Medicine · doi:10.1007/s40279-023-01846-9 · Cited by 47 · see citing works
Self-citationPKM2-mediated metabolic reprogramming of microglia in neuroinflammation
Zhang, Q., Wang, S., Zhang, Z., & Chu, S.-F. (2025) · Cell Death Discovery · doi:10.1038/s41420-025-02453-5 · Cited by 45 · see citing works
Wang, Y.-H., Gao, P., Wang, Y., Xu, L., Zeng, K., & Tu, P. (2024) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2024.176551 · Cited by 43 · see citing works
Chen, Y., Zizmare, L., Calbiague, V., Wang, L., Yu, S., Herberg, F. W., Schmachtenberg, O., Paquet‐Durand, F., & Trautwein, C. (2023) · eLife · doi:10.7554/elife.91141 · Cited by 40 · see citing works
Wang, H., Liu, S., Sun, Y., Chen, C., Hu, Z., Li, Q., Long, J., Yan, Q., Liang, J., Lin, Y., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102472 · Cited by 39 · see citing works
Yao, X., Wang, X., Zhang, R., Kong, L., Fan, C., & Qian, Y. (2025) · Nature Communications · doi:10.1038/s41467-025-59562-z · Cited by 39 · see citing works
Chen, W., Liu, X., Muñoz, V. R., & Kahn, C. R. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2501527122 · Cited by 38 · see citing works
Hu, J., Sha, W., Yuan, S., Wu, J., & Huang, Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241915023 · Cited by 35 · see citing works
Andreyev, A. Y., Yang, H., Doulias, P., Dolatabadi, N., Zhang, X., Luevanos, M., Blanco, M., Baal, C., Putra, I., Nakamura, T., et al. (2024) · Advanced Science · doi:10.1002/advs.202306469 · Cited by 35 · see citing works
Lactylation of tau in human Alzheimer's disease brains
Zhang, X., Liu, Y., Rekowski, M. J., & Wang, N. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14481 · Cited by 35 · see citing works
Neural cell state shifts and fate loss in ageing and age-related diseases
Traxler, L., Lucciola, R., Herdy, J. R., Jones, J. R., Mertens, J., & Gage, F. H. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00815-0 · Cited by 34 · see citing works
Self-citationChen, Y., Huang, L., Luo, Z., Han, D., Luo, W., Wan, R., Li, Y., Ge, Y., Lin, W., Xie, Y., et al. (2024) · Journal of Controlled Release · doi:10.1016/j.jconrel.2024.07.010 · Cited by 32 · see citing works
The Role of PKM2 in Multiple Signaling Pathways Related to Neurological Diseases
Zhang, X., Lei, Y., Zhou, H., Liu, H., & Xu, P. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03901-y · Cited by 30 · see citing works
Massaro, M., Baudo, G., Lee, H., Liu, H., & Blanco, E. (2024) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00513 · Cited by 30 · see citing works
Deng, Y.-T., Ma, L., Mei, Y., Wang, J.-S., Bai, X., Zheng, X.-J., Ren, J., Zhong, D., Zhou, B.-L., Dan, J., et al. (2025) · Science Signaling · doi:10.1126/scisignal.adr9397 · Cited by 30 · see citing works
Novel therapeutic approaches to target neurodegeneration
de la Fuente, A. G., Pelucchi, S., Mertens, J., Luca, M. D., Mauceri, D., & Marcello, E. E. (2023) · British Journal of Pharmacology · doi:10.1111/bph.16078 · Cited by 30 · see citing works
Self-citationMicroglial immunometabolism endophenotypes contribute to sex difference in Alzheimer's disease
Hou, Y., Caldwell, J., Lathia, J. D., Leverenz, J. B., Pieper, A. A., Cummings, J. L., & Cheng, F. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13546 · Cited by 27 · see citing works
de Geus, M. B., Leslie, S. N., Lam, T. T., Wang, W., Roux‐Dalvai, F., Droit, A., Kivisäkk, P., Nairn, A. C., Arnold, S. E., & Carlyle, B. C. (2023) · Scientific Reports · doi:10.1038/s41598-023-49440-3 · Cited by 26 · see citing works
A metabolic atlas of mouse aging
Pilley, S. E., Awad, D., Latumalea, D., New, C., Esparza, E., Wang, S. Y., Shi, X., Zhang, L., Unfried, M., Lee, J. H., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.10.016 · Cited by 25 · see citing works
Little, K., Singh, A. P., del Marco, À., Llorián‐Salvador, M., Vargas-Soria, M., Turch, M., Solé, M., Bakker, N., Scullion, S., Comella, J. X., et al. (2023) · Diabetologia · doi:10.1007/s00125-023-05935-2 · Cited by 24 · see citing works
COVID ‐19 and neurodegeneration: The mitochondrial connection
Denaro, C. A., Haloush, Y. I., Hsiao, S. Y., Orgera, J. J., Osorio, T., Riggs, L. M., Sassaman, J. W., Williams, S. A., Carlo, A. R. M., da Costa, R. T., et al. (2022) · Aging Cell · doi:10.1111/acel.13727 · Cited by 22 · see citing works
Liu, Y., Kwok, W., Yoon, H., Ryu, J. C., Stevens, P., Hawkinson, T. R., Shedlock, C. J., Ribas, R. A., Medina, T., Keohane, S. B., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1563-23.2024 · Cited by 21 · see citing works
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 · Cited by 21 · see citing works
Sun, H., Liu, C., Han, F., Lin, X., Cao, L., Liu, C., Ji, Q., Cui, J., Yao, Y., Wang, B., et al. (2023) · Cell Death and Differentiation · doi:10.1038/s41418-023-01118-z · Cited by 21 · see citing works
Qin, Q., Li, M., Fan, L., Zeng, X., Zheng, D., Wang, H., Jiang, Y., Ma, X., Xing, L., Wu, L., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02988-0 · Cited by 20 · see citing works
Epigenome–metabolism nexus in the retina: implications for aging and disease
Mondal, A. K., Gaur, M., Advani, J., & Swaroop, A. (2024) · Trends in Genetics · doi:10.1016/j.tig.2024.04.012 · Cited by 20 · see citing works
Rong, S., Dai, B., Yang, C., Lan, Z., Wang, L., Xu, L., Chen, W., Chen, J., & Wu, Z. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05668-9 · Cited by 20 · see citing works
Autophagy regulator ATG5 preserves cerebellar function by safeguarding its glycolytic activity
Tutas, J., Tolve, M., Ozer, E., Ickert, L., Klein, I., Silverman, Q., Liebsch, F., Dethloff, F., Giavalisco, P., Endepols, H., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-024-01196-4 · Cited by 20 · see citing works
da Rocha, J. F., Lance, M. L., Luo, R., Schlachter, P., Moreira, L., Iqbal, M. A., Kuhn, P., Gardner, R. S., Valaris, S., Islam, M. R., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01971-w · Cited by 19 · see citing works
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) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01269-8 · Cited by 19 · see citing works
Javadpour, P., Abbaszadeh, F., Ahmadiani, A., Rezaei, M., & Ghasemi, R. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04009-7 · Cited by 19 · see citing works
Wu, Y., Yang, L., Jiang, W., Zhang, X., & Yao, Z. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00190 · Cited by 19 · see citing works
A cellular identity crisis? Plasticity changes during aging and rejuvenationPreprint
Gorelov, R. A., & Hochedlinger, K. (2024) · Genes & Development · doi:10.1101/gad.351728.124 · Cited by 18 · see citing works
Ceccarelli, D. C., & Solerte, S. B. (2025) · Metabolites · doi:10.3390/metabo15030159 · Cited by 17 · see citing works
Targeting glycolysis for neuroprotection in early LPS-induced neuroinflammation
Vizuete, A. F. K., Fróes, F. T., Seady, M., Caurio, A. C., Júnior, O. V. R., Leite, A. K. O., Farias, C. P., Wyse, Â. T. D. S., & Gonçalves, C. (2024) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2024.100901 · Cited by 17 · see citing works
Chen, Y., Zhang, M., Jia, R., Qian, B., Jing, C., Caihong, Z., Zhu, D., Liu, Z., Zen, K., & Li, L. (2024) · Redox Biology · doi:10.1016/j.redox.2024.103439 · Cited by 17 · see citing works
Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders
Liu, X., Li, F., Czosnyka, M., Czosnyka, Z. H., Yu, H., Tong, X., Xing, Y., Li, H., Pu, K., Feng, K., et al. (2025) · GigaScience · doi:10.1093/gigascience/giaf137 · Cited by 16 · see citing works
Genetic effects on molecular network states explain complex traits
Weith, M., Großbach, J., Clément‐Ziza, M., Gillet, L. C. J., Rodríguez‐López, M., Marguerat, S., Workman, C. T., Picotti, P., Bähler, J., Aebersold, R. H., et al. (2023) · Molecular Systems Biology · doi:10.15252/msb.202211493 · Cited by 16 · see citing works
Adaptive responses of neuronal cells to chronic endoplasmic reticulum (ER) stress
Pham, T. N. M., Perumal, N., Manicam, C., Başoğlu, M., Eimer, S., Fuhrmann, D. C., Pietrzik, C. U., Clement, A. M., Körschgen, H., Schepers, J., et al. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102943 · Cited by 16 · see citing works
Devrukhkar, P. R., Watson, M. A., Soygur, B., Wu, F., Bons, J., Anvari, H., Atazhanova, T., Martin, N., Tran, T., Schneider, K., et al. (2025) · Aging Cell · doi:10.1111/acel.70111 · Cited by 15 · see citing works
USP28 promotes tumor progression and glycolysis by stabilizing PKM2/Hif1-α in cholangiocarcinoma
Qiao, Q., Wang, J., Liu, S., Chang, J., Zhou, T., Li, C., Zhang, Y., Jiang, W., Chen, Y., Xu, X., et al. (2024) · Cellular Oncology · doi:10.1007/s13402-024-01002-z · Cited by 15 · see citing works
APC/C-Cdh1-targeted substrates as potential therapies for Alzheimer’s disease
Lapresa, R., Agulla, J., Bolaños, J. P., & Almeida, Á. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1086540 · Cited by 14 · see citing works
Huai, J., Chang, E.-E., Zhu, Y., Ma, W., Lv, T.-S., Sun, J., & Zhou, X. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1701406 · Cited by 13 · see citing works
Metabolomic analysis of Drosophila melanogaster larvae lacking pyruvate kinase
Heidarian, Y., Tourigny, J. P., Fasteen, T. D., Mahmoudzadeh, N. H., Hurlburt, A. J., Nemkov, T. G., Reisz, J. A., D’Alessandro, A., & Tennessen, J. M. (2023) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkad228 · Cited by 13 · see citing works
Self-citationNeuronal aerobic glycolysis exacerbates synapse loss in aging mice
Zhou, W., Yang, X., Wang, H., Yao, W., Chu, D., & Wu, F. (2023) · Experimental Neurology · doi:10.1016/j.expneurol.2023.114590 · Cited by 13 · see citing works
Perez, Y., Velmeshev, D., Wang, L., White, M. L., Siebert, C., Baltazar, J., Zuo, G., Moriano, J., Chen, S., Steffen, D. M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61184-4 · Cited by 12 · see citing works
Succinate-driven PKM2 succinylation and dimerization accelerates age-associated cardiac fibrosis
Wang, Z., Zhang, Z., Ping, Z., Yang, S., Li, Y., Jiang, T., Zheng, X., Zhang, Q., Liu, Z., Zhang, X., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-09337-5 · Cited by 11 · see citing works
Cancer progression through the lens of age-induced metabolic reprogramming
Lazure, F., & Gomes, A. P. (2025) · Nature reviews. Cancer · doi:10.1038/s41568-025-00845-4 · Cited by 11 · see citing works
Liu, W., Fan, B., Fang, T., Li, H., Zhang, J., Liu, B., & Liu, Z. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.08.010 · Cited by 10 · see citing works
Liu, M., Ma, S., Tai, W., Zhong, X., Ni, H., Zou, Y., Wang, J., & Zhang, C. (2024) · Cell Death and Disease · doi:10.1038/s41419-023-06395-7 · Cited by 10 · see citing works
Murai, T., & Matsuda, S. (2023) · Biology · doi:10.3390/biology12081081 · Cited by 9 · see citing works
Sharma, B., Koren, D. T., & Ghosh, S. (2023) · Biophysical Chemistry · doi:10.1016/j.bpc.2023.107114 · Cited by 9 · see citing works
Dysfunctional β-cell longevity in diabetes relies on energy conservation and positive epistasis
Raval, K., Jamshidi, N., Seyran, B., Salwiński, Ł., Pillai, R. K., Yang, L., Ma, F., Pellegrini, M. A., Shin, J., Yang, X., et al. (2024) · Life Science Alliance · doi:10.26508/lsa.202402743 · Cited by 8 · see citing works
Li, W., Liu, X., Li, H., Zeng, J., Chen, Y., & Xu, B. (2024) · Scientific Reports · doi:10.1038/s41598-024-81600-x · Cited by 8 · see citing works
Neuronal glycolysis meets mitophagy to govern organismal wellbeing
Jiménez-Blasco, D., Lapresa, R., Agulla, J., Almeida, Á., & Bolaños, J. P. (2025) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2025.05.005 · Cited by 8 · see citing works
Xu, F., Shi, L., Wang, S., Zhang, H., Chen, H., He, S., Chen, M., Fu, J., Yang, M., Wang, Y., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.12.038 · Cited by 8 · see citing works
Human tau promotes Warburg effect–like glycolytic metabolism under acute hyperglycemia conditions
Yao, J., Li, K., Fu, Z., Zheng, J., Chen, Z., Xu, J., Lai, G., Huang, Y., Huang, J., You, G., et al. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.108376 · Cited by 8 · see citing works
Duan, H., Lai, Q., Jiang, Y., Yang, L., Deng, M., Lin, Z., Shan, W., Zhong, M., Yao, J., Zhang, L., et al. (2024) · Experimental Hematology and Oncology · doi:10.1186/s40164-024-00589-1 · Cited by 7 · see citing works
SENP1 inhibits aerobic glycolysis in Aβ1-42-incubated astrocytes by promoting PUM2 deSUMOylation
Liu, Q., Jiang, M., Wang, Z., Meng, J., Jia, H., Li, J., Lin, J., Guo, L., & Gao, L. (2025) · Cell Biology and Toxicology · doi:10.1007/s10565-025-09986-6 · Cited by 7 · see citing works
The complex web of membrane contact sites in brain aging and neurodegeneration
Tehran, D. A., & Pizzo, P. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05830-6 · Cited by 7 · see citing works
Adeoye, T., Shah, S. I., & Ullah, G. (2024) · Aging and Disease · doi:10.14336/ad.2024.0429 · Cited by 6 · see citing works
Landry, T., Perrault, L., Melville, D., Chen, Z., Li, Y., Dong, P., Farmer, W. T., Asrican, B., Lee, H., Zhang, L., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.08.016 · Cited by 6 · see citing works
Zhang, Y., Long, X., Yao, B.-F., Tian, J., Peng, J., & Luo, X. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.09.026 · Cited by 6 · see citing works
Chen, H., Li, M., Xie, F., Liu, S., Yang, A., Yin, J., Wang, X., Long, Y., Wu, S., Cai, L., et al. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02500-w · Cited by 6 · see citing works
Yao, Y., Wan, R., An, Y., He, B., Tan, Q., Xu, H., Pan, X., Liu, S., Chen, X., & Li, J. (2025) · Biochemical Pharmacology · doi:10.1016/j.bcp.2025.117546 · Cited by 6 · see citing works
Wang, S., Ponnusamy, M., Patel, O., Hansen, M. T., Collier, L. A., Collier, S., & Thinakaran, G. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-026-01652-z · Cited by 6 · see citing works
Toxicity of the spike protein of COVID-19 is a redox shift phenomenon: A novel therapeutic approach
Schwartz, L. H., Aparicio-Alonso, M., Henry, M., Radman, M., Attal, R., & Bakkar, A. (2023) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2023.05.034 · Cited by 6 · see citing works
Podvin, S., Jones, J. R., Kang, A., Goodman, R., Reed, P., Lietz, C. B., Then, J., Lee, K. C., Eyler, L. T., Jeste, D. V., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02422-x · Cited by 6 · see citing works
Self-citationHoufková, A., Schmidt, M., Benek, O., Fabrik, I., Andrýs, R., Zemanová, L., Soukup, O., & Musílek, K. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01821-8 · Cited by 5 · see citing works
Yu, H., & Yan, L. (2025) · Gene · doi:10.1016/j.gene.2025.149685 · Cited by 5 · see citing works
Li, M., Duan, W., Hao, X., Li, S., Wang, C., Liang, Y., Hu, Z., Ma, D., Guo, M., Zuo, C., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03198-4 · Cited by 5 · see citing works
Carrera‐Bastos, P., Muskiet, M. H. A., Ordóñez, F. M., Pruimboom, L., Lucía, A., Luque, R. M., & Muskiet, F. A. J. (2025) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-025-09996-z · Cited by 5 · see citing works
Aerobic glycolysis in Schizophrenia: Developmental rescue or energetic breakdown?
Memetoglu, O., Goyal, M. S., Chouinard, V., Du, F., & Öngür, D. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03460-3 · Cited by 5 · see citing works
Neurodevelopmental origins of age-related neurodegenerative diseases
Chow, H., & Abel, T. G. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106151 · Cited by 5 · see citing works
Cunliffe, G., Lim, Y. T., Chae, W., & Jung, S. (2022) · Biomedicines · doi:10.3390/biomedicines10123064 · Cited by 5 · see citing works
Stochastic Modeling and Simulation of Filament Aggregation in Alzheimer’s Disease
Ojha, V. P., Yarahmadian, S., & Om, M. (2024) · Processes · doi:10.3390/pr12010157 · Cited by 5 · see citing works
Nudix Hydrolase 13 Impairs the Initiation of Colorectal Cancer by Inhibiting PKM1 ADP‐Ribosylation
Lin, J., Yin, Y., Cao, J., Zou, B., Han, K., Chen, Y., Li, S., Huang, C., Chen, J., Lv, Y., et al. (2025) · Advanced Science · doi:10.1002/advs.202410058 · Cited by 5 · see citing works
Jinling, D., Liyuan, F., Wenying, F., Huang, Y., Tang, X., Xiuning, H., Tang, Y., Qianliang, M., Guo, L., Gao, N., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1051103 · Cited by 5 · see citing works
Latina, V., Atlante, A., Malerba, F., Regina, F. L., Balzamino, B. O., Micera, A., Pignataro, A., Stigliano, E., Cavallaro, S., Calissano, P., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119683 · Cited by 5 · see citing works
Direct conversion of fibroblast into neurons for Alzheimer's disease research: a systematic review
Sattarov, R., Toresson, H., Orbjörn, C., & Mattsson-Carlgren, N. (2023) · Journal of Alzheimer’s Disease · doi:10.3233/jad-230119 · Cited by 4 · see citing works
Song, Z., He, J., Yu, W., He, C., Yang, M., Li, P., Li, Z., Jian, G., & Cheng, S. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1440564 · Cited by 4 · see citing works
Zhou, X., Wu, R., Tang, G., Shen, T., & Li, W. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-01888-2 · Cited by 4 · see citing works
Novel targets for treating neurodegenerative diseases: The PKM2-STAT3-hnRNPA1 feedback loop
Ye, P., Li, Z., & Jiang, H. (2025) · Pharmacological Research · doi:10.1016/j.phrs.2025.107840 · Cited by 4 · see citing works
Targeted tau protein degradation: a promising therapeutic approach for tauopathies
Baazaoui, N., Alfaifi, M. Y., Shati, A. A., Saad, R. B., & Garzoli, S. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.11.041 · Cited by 4 · see citing works
Blood Cell Mitochondrial Respiration Increases With Age and Varies by Sex in Healthy Adults
Phang, H. J., Bergstrom, J., Keri, B., Heimler, S., Dozier, S., Scandalis, L., Wing, D., Moreno, D. S.-M., Sun, N., & Molina, A. J. A. (2026) · Aging Cell · doi:10.1111/acel.70387 · Cited by 5 · see citing works
Uemura, K., Hiro, S., Attachaipanich, S., Du, R., Yusof, N. I. S. M., Kinoshita, M., Hikosaka, M., & Ohtsuki, G. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1669272 · Cited by 5 · see citing works
- 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
- Health Sciences › Medicine › Physiology › 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 ›
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