MétaCan
Menu
Back to cohort
Record W2531249461 · doi:10.1016/j.celrep.2016.09.085

A Metabolic Roadblock in Inflammatory Macrophages

2016· letter· en· W2531249461 on OpenAlexaff
Luke O'neill

Bibliographic record

VenueCell Reports · 2016
Typeletter
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsTrinity College
Fundersnot available
KeywordsInflammationMacrophageBiologyImmunologyChemistryMicrobiologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

In this issue of Cell Reports, Van den Bossche et al., 2016Van den Bossche J. Baardman J. Otto N.A. van der Velden S. Neele A.E. van den Berg S.M. Luque-Martin R. Chen H.J. Boshuizen M.C.S. Ahmed M. et al.Cell Rep. 2016; 17 (this issue): 684-696Abstract Full Text Full Text PDF PubMed Scopus (400) Google Scholar reveal that, once the M1 macrophage forms, the accompanying metabolic alterations in the mitochondria are irreversible, preventing differentiation into the more homeostatic M2 macrophage. In this issue of Cell Reports, Van den Bossche et al., 2016Van den Bossche J. Baardman J. Otto N.A. van der Velden S. Neele A.E. van den Berg S.M. Luque-Martin R. Chen H.J. Boshuizen M.C.S. Ahmed M. et al.Cell Rep. 2016; 17 (this issue): 684-696Abstract Full Text Full Text PDF PubMed Scopus (400) Google Scholar reveal that, once the M1 macrophage forms, the accompanying metabolic alterations in the mitochondria are irreversible, preventing differentiation into the more homeostatic M2 macrophage. Macrophages are a frontline cell in host defense and inflammation, participating in the handling of infectious agents but also restoring homeostasis once the trauma has passed. As such, they are highly plastic and respond to different environmental cues by adopting different effector states, as required by the prevailing conditions. The best understood scenario consists of macrophages occurring in two quite distinct “flavors.” When the stimulus is lipopolysaccharide (LPS) from gram-negative bacteria in combination with interferon γ (IFNγ; as might prevail during bacterial infection), they adopt an inflammatory phenotype (usually termed M1 macrophages, or as recently proposed, M[LPS + IFNγ]) (Murray et al., 2014Murray P.J. Allen J.E. Biswas S.K. Fisher E.A. Gilroy D.W. Goerdt S. Gordon S. Hamilton J.A. Ivashkiv L.B. Lawrence T. et al.Immunity. 2014; 41: 14-20Abstract Full Text Full Text PDF PubMed Scopus (3534) Google Scholar). However, when activated by cytokines such as IL-4 or IL-13, they adopt a more reparative phenotype (M2 macrophages or M[IL-4]). These macrophages are also more prominent in tumors or during helminth infections and in allergy, where they contribute to pathology. Therefore, a lot of attention has focused on the molecular basis for these differing responses, one aim being to reprogram macrophages from one state to another for therapeutic gain. Attention has recently focused on metabolic differences between these states. M1 macrophages have impaired oxidative phosphorylation and rely on glycolysis for ATP production. This impairment is partly due to the Krebs cycle being broken in M1 macrophages, with the intermediates citrate and succinate taking on the roles of membrane biogenesis and HIF1α activation, respectively (Tannahill et al., 2013Tannahill 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.Nature. 2013; 496: 238-242Crossref PubMed Scopus (2123) Google Scholar, Jha et al., 2015Jha A.K. Huang S.C. Sergushichev A. Lampropoulou V. Ivanova Y. Loginicheva E. Chmielewski K. Stewart K.M. Ashall J. Everts B. et al.Immunity. 2015; 42: 419-430Abstract Full Text Full Text PDF PubMed Scopus (1045) Google Scholar, Galván-Peña and O’Neill, 2014Galván-Peña S. O’Neill L.A.J. Front. Immunol. 2014; 5: 420PubMed Google Scholar). On the other hand, M2 macrophages have an intact Krebs cycle and use oxidative phosphorylation as the main means of ATP generation. In this issue of Cell Reports, Van den Bossche et al., 2016Van den Bossche J. Baardman J. Otto N.A. van der Velden S. Neele A.E. van den Berg S.M. Luque-Martin R. Chen H.J. Boshuizen M.C.S. Ahmed M. et al.Cell Rep. 2016; 17 (this issue): 684-696Abstract Full Text Full Text PDF PubMed Scopus (400) Google Scholar provide new insights into this aspect of macrophage regulation by demonstrating that, once the macrophage has committed to being M1, it cannot be reprogrammed to an M2 by IL-4. However, the opposite is not apparent—the M2 can be converted to an M1 by the addition of LPS. The mechanism involves an impairment in the mitochondrial electron transport chain in the M1 macrophage that is caused by nitric oxide (NO) in the mouse and cannot be overcome. This study confirms the importance of metabolic reprogramming for macrophage function and might have relevance for therapeutic manipulation of macrophages in disease. The study began with attempts to repolarize either human or mouse macrophages from M1 to M2 using IL-4. With the exception of arginase, a host of M2 markers were not inducible by IL-4. Intriguingly, IL-4 signaling (as indicated by STAT6 phosphorylation) was intact in this protocol. In contrast, LPS + IFNγ treatment was able to induce M1 markers in M2 macrophages, indicating that the M2 phenotype was more plastic. Importantly these results were confirmed in vivo. Metabolic analysis confirmed enhanced glycolysis and impaired oxidative phosphorylation in the M1 macrophage, with oxidative phosphorylation being more evident in the M2 macrophage. Further analysis revealed that M1 macrophages had a dysfunctional electron transport chain, being unable to respire under conditions where substrates were provided to complexes I, II or III. IL-4 was unable to restore respiration in the M1 macrophage. Also of note was the observation that oligomycin (which inhibits the ATP synthase) or 2-deoxyglucose (which inhibits glycolysis) both suppressed the induction of M2 macrophages by IL-4. This indicates that glucose feeds the Krebs cycle for respiration in the M2 macrophage and that inhibition of this will prevent polarization to M2. Van den Bossche et al., 2016Van den Bossche J. Baardman J. Otto N.A. van der Velden S. Neele A.E. van den Berg S.M. Luque-Martin R. Chen H.J. Boshuizen M.C.S. Ahmed M. et al.Cell Rep. 2016; 17 (this issue): 684-696Abstract Full Text Full Text PDF PubMed Scopus (400) Google Scholar then turned to a possible mechanism of impaired respiration in the M1 macrophage. Previous studies in other cell types had pointed to NO as being able to block respiration by nitrosylating components in the electron transport chain (Clementi et al., 1998Clementi E. Brown G.C. Feelisch M. Moncada S. Proc. Natl. Acad. Sci. USA. 1998; 95: 7631-7636Crossref PubMed Scopus (749) Google Scholar). Inducible NO synthase (iNOS) inhibition prior to LPS + IFNγ markedly improved respiration and also made the M1 macrophage amenable to reprogramming to an M2 phenotype by IL-4. It did not block induction of the M1 phenotype but instead made the M1 macrophage more responsive to IL-4 in terms of induction of M2 markers. Therefore, these results indicate that NO is the damaging agent for the electron transport chain, with this damage preventing IL-4 from repolarizing the macrophage to M2 (Figure 1). Van den Bossche et al., 2016Van den Bossche J. Baardman J. Otto N.A. van der Velden S. Neele A.E. van den Berg S.M. Luque-Martin R. Chen H.J. Boshuizen M.C.S. Ahmed M. et al.Cell Rep. 2016; 17 (this issue): 684-696Abstract Full Text Full Text PDF PubMed Scopus (400) Google Scholar further emphasize metabolic reprogramming as being a critical event in macrophage polarization. NO appears to play a critical role here, and inhibitors of iNOS might have potential as agents for promoting M2 polarization. An important point to note is that the mechanism may be different in humans. The authors demonstrate a similar lack of plasticity in human M1 macrophages but the mechanism is unlikely to involve NO. They speculate that the metabolite taconite might be involved (Lampropoulou et al., 2016Lampropoulou V. Sergushichev A. Bambouskova M. Nair S. Vincent E.E. Loginicheva E. Cervantes-Barragan L. Ma X. Huang S.C. Griss T. et al.Cell Metab. 2016; 24: 158-166Abstract Full Text Full Text PDF PubMed Scopus (656) Google Scholar). The actual mechanism of irreversibility in the M1 phenotype requires further analysis, and as proposed by the authors, may entail epigenetic changes in key genes that might be responsible for the stability of the M1 phenotype. The work also highlights the importance of alterations in the electron transport chain in M1 macrophages as indicated in two other recent studies (Garaude et al., 2016Garaude J. Acín-Pérez R. Martínez-Cano S. Enamorado M. Ugolini M. Nistal-Villán E. Hervás-Stubbs S. Pelegrín P. Sander L.E. Enríquez J.A. Sancho D. Nat. Immunol. 2016; 17: 1037-1045Crossref PubMed Scopus (182) Google Scholar, Mills et al., 2016Mills E.L. Kelly B. Logan A. Costa A.S.H. Varma M. Bryant C.E. Tourlomousis P. Däbritz J.H.M. Gottlieb E. Latorre I. et al.Cell. 2016; 167: 1-14Abstract Full Text Full Text PDF PubMed Scopus (993) Google Scholar). Succinate dehydrogenase (complex II) has been shown to be a key control point, driving reverse electron transport in complex I in the LPS-activated macrophage to promote reactive oxygen species generation, a hallmark of the M1 macrophage (Mills et al., 2016Mills E.L. Kelly B. Logan A. Costa A.S.H. Varma M. Bryant C.E. Tourlomousis P. Däbritz J.H.M. Gottlieb E. Latorre I. et al.Cell. 2016; 167: 1-14Abstract Full Text Full Text PDF PubMed Scopus (993) Google Scholar). The study also provides new information on how M2 macrophages arise during the resolution of inflammation. The lack of plasticity in the formed M1 macrophage means that the M2 macrophage must come from precursor macrophages rather than the conversion of the M1 macrophage into M2. However, it might be possible to provide inhibitors that will promote this process in the context of an inflammatory environment. For example, inhibition of SDH or of the enzyme PKM2 (which governs the switch to glycolysis) will promote an M2 phenotype in response to LPS (Palsson-McDermott et al., 2015Palsson-McDermott E.M. Curtis A.M. Goel G. Lauterbach M.A. Sheedy F.J. Gleeson L.E. van der Bosch M.W. Quinn S.R. Domingo-Fernandez R. Johnston D.G. et al.Cell Metab. 2015; 21: 65-68Abstract Full Text Full Text PDF PubMed Scopus (650) Google Scholar). Further studies will help to unravel the complex metabolic events occurring in this most important of cell types and possibly point to therapeutic approaches for manipulating them in inflammatory and allergic diseases and cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.213
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCell ReportsSame topicImmune cells in cancerFrench-language works237,207