The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Glycolysis – a key player in the inflammatory response
Open accessAbstract
The inflammatory response involves the activation of several cell types to fight insults caused by a plethora of agents, and to maintain the tissue homoeostasis. On the one hand, cells involved in the pro‐inflammatory response, such as inflammatory M1 macrophages, Th1 and Th17 lymphocytes or activated microglia, must rapidly provide energy to fuel inflammation, which is essentially accomplished by glycolysis and high lactate production. On the other hand, regulatory T cells or M2 macrophages, which are involved in immune regulation and resolution of inflammation, preferentially use fatty acid oxidation through the TCA cycle as a main source for energy production. Here, we discuss the impact of glycolytic metabolism at the different steps of the inflammatory response. Finally, we review a wide variety of molecular mechanisms which could explain the relationship between glycolytic metabolites and the pro‐inflammatory phenotype, including signalling events, epigenetic remodelling, post‐transcriptional regulation and post‐translational modifications. Inflammatory processes are a common feature of many age‐associated diseases, such as cardiovascular and neurodegenerative disorders. The finding that immunometabolism could be a master regulator of inflammation broadens the avenue for treating inflammation‐related pathologies through the manipulation of the vascular and immune cell metabolism.
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.
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
1 retracted
RETRACTED: mTORC1-Induced HK1-Dependent Glycolysis Regulates NLRP3 Inflammasome Activation
Moon, J.-S., Hisata, S., Park, M.-A., DeNicola, G. M., Ryter, S. W., Nakahira, K., & Choi, A. M. K. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.05.046 · Cited by 374
RetractedNeurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971
Origin and physiological roles of inflammation
Medzhitov, R. (2008) · Nature · doi:10.1038/nature07201 · Cited by 6,618
Protective and pathogenic functions of macrophage subsets
Murray, P. J., & Wynn, T. A. (2011) · Nature Reviews Immunology · doi:10.1038/nri3073 · Cited by 5,269
Meijer, L., Nelson, D. J., Riazanski, V., Gabdoulkhakova, A. G., Hery-Arnaud, G., Le Berre, R., Loaëc, N., Oumata, N., Galons, H., Nowak, E., et al. (2016) · Journal of Innate Immunity · doi:10.1159/000444256 · Cited by 4,992
Chronic inflammation in the etiology of disease across the life span
Furman, D., Campisi, J., Verdin, E., Carrera-Bastos, P., Targ, S., Franceschi, C., Ferrucci, L., Gilroy, D. W., Fasano, A., Miller, G. W., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0675-0 · Cited by 4,915
Metabolic regulation of gene expression by histone lactylation
Zhang, D., Tang, Z., Huang, H., Zhou, G., Cui, C., Weng, Y., Liu, W., Kim, S., Lee, S., Perez-Neut, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1678-1 · Cited by 4,371
Succinate is an inflammatory signal that induces IL-1β through HIF-1α
Tannahill, G. M., Curtis, A. M., Adamik, J., Palsson-McDermott, E. M., McGettrick, A. F., Goel, G., Frezza, C., Bernard, N. J., Kelly, B., Foley, N. H., et al. (2013) · Nature · doi:10.1038/nature11986 · Cited by 4,176
Kim, J.-W., Tchernyshyov, I., Semenza, G. L., & Dang, C. V. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.02.002 · Cited by 3,905
Nitric oxide and the immune response
Bogdan, C. (2001) · Nature Immunology · doi:10.1038/ni1001-907 · Cited by 3,447
Cited by
Mittelbrunn, M., & Kroemer, G. (2021) · Nature Immunology · doi:10.1038/s41590-021-00927-z · Cited by 702
Self-citationMitophagy in human health, ageing and disease
Picca, A., Faitg, J., Auwerx, J., Ferrucci, L., & D’Amico, D. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00930-8 · Cited by 635
The Alterations in and the Role of the Th17/Treg Balance in Metabolic Diseases
Zhang, S., Gang, X., Yang, S., Cui, M., Sun, L., Li, Z., & Wang, G. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.678355 · Cited by 263
Sangineto, M., Ciarnelli, M., Cassano, T., Radesco, A., Moola, A., Bukke, V. N., Romano, A., Villani, R., Kanwal, H., Capitanio, N., et al. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102846 · Cited by 142
ten Brink, T., Damanik, F., Rotmans, J. I., & Moroni, L. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202301939 · Cited by 71
Metadata
- Authors
- Soto‐Heredero, G., Gómez de las Heras, M. M., Gabandé‐Rodríguez, E., Oller, J., & Mittelbrunn, M.
- Venue
- The FEBS Journal
- Publisher
- Wiley
- Published
- 2020-04-27
- Volume
- 287
- Issue
- 16
- Pages
- 3350-3369
- ISSN
- 1742-464X (ISSN-L)
- 1742-4658
- OpenAlex
- W3014943546
- Cited by
- 641
- References
- 194
- FWCI
- 16.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Glycolysis – a key player in the inflammatory response. https://app.cochat.ai/papers/10.1111/febs.15327
- The paper
- Soto‐Heredero, G., Gómez de las Heras, M. M., Gabandé‐Rodríguez, E., Oller, J., & Mittelbrunn, M. (2020). Glycolysis – a key player in the inflammatory response. The FEBS Journal. https://doi.org/10.1111/febs.15327
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
