| Literature DB >> 31861356 |
Hao Zuo1, Yihong Wan1,2,3.
Abstract
The myeloid lineage consists of multiple immune cell types, such as macrophages, monocytes, and dendritic cells. It actively participates in both innate and adaptive immunity. In response to pro- or anti-inflammatory signals, these cells undergo distinct programmed metabolic changes especially in mitochondria. Pro-inflammatory signals induce not only a simple shift from oxidative phosphorylation to glycolysis, but also complicated metabolic alterations during the early and tolerant stages in myeloid cells. In mitochondria, a broken Krebs cycle leads to the accumulation of two metabolites, citrate and succinate, both of which trigger pro-inflammatory responses of myeloid cells. A deficient electron transport chain induces pro-inflammatory responses in the resting myeloid cells while it suppresses these responses in the polarized cells during inflammation. The metabolic reprogramming in mitochondria is also associated with altered mitochondrial morphology. On the other hand, intact oxidative phosphorylation is required for the anti-inflammatory functions of myeloid cells. Fatty acid synthesis is essential for the pro-inflammatory effect and glutamine metabolism in mitochondria exhibits the anti-inflammatory effect. A few aspects of metabolic reprogramming remain uncertain, for example, glycolysis and fatty acid oxidation in anti-inflammation. Overall, metabolic reprogramming is an important element of immune responses in myeloid cells.Entities:
Keywords: Krebs cycle; electron transport chain; glycolysis; inflammation; macrophages; metabolism; mitochondria; myeloid cells; oxidative phosphorylation
Mesh:
Year: 2019 PMID: 31861356 PMCID: PMC7017304 DOI: 10.3390/cells9010005
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
The effect of LPS on glycolysis and OXPHOS.
| LPS (ng/mL) | Treatment Period (hour) | Cell Type | Glycolysis | OXPHOS | Pro- | Year | Reference |
|---|---|---|---|---|---|---|---|
|
| |||||||
| 100 | 0–2 | BMDMs |
| ↓ |
| 2012 | [ |
| 100 | 0–4 | RAW 264.7 |
| ↓ | |||
| 100 | 4 | BMDMs |
|
|
| 2013 | [ |
| 100 | 1 | BMDMs |
| 2019 | [ | ||
| 100 | 0.5, 1 | BMDMs |
| 2019 | [ | ||
| 100 | 0–2 | BMDMs |
| n.c. | 2016 | [ | |
| 100 | 0–2 | hMDMs |
| n.c. | |||
| 100 | 0–2 | BMDMs |
| n.c. | 2018 | [ | |
| 100 | 0–4 | Peritoneal mΦ |
| 2010 | [ | ||
| 10 | 4 | Monocytes |
|
| 2016 | [ | |
| 100 | 0–1 | Monocytes |
|
| 2017 | [ | |
| 100 | 0–6 | BMDCs |
| 2012 | [ | ||
| 100 | 0–2 | BMDCs |
| n.c. | 2014 | [ | |
|
| |||||||
| 100 | 8, 16, 24 | BMDMs |
| ↓ |
| 2013 | [ |
| 100 | 24 | BMDMs |
| ↓ |
| 2015 | [ |
| 100 | 24 | BMDMs |
| ↓ | 2016 | [ | |
| 100 | 24 or 48 | BMDMs |
| ↓ |
| 2016 | [ |
| 100 | 24 | BMDMs |
| ↓ | 2016 | [ | |
| 10 | 12 | BMDMs | n.c. |
| 2016 | [ | |
| 100 | 12 | BMDMs |
| ↓ | |||
| 5000 | 12 | BMDMs |
| ↓ | |||
| 100 | 24 | BMDMs |
| ↓ |
| 2017 | [ |
| 100 | 4–24 | BMDMs | ↓ |
| 2019 | [ | |
| 1000 | 16 | mBMDMs |
| ↓ |
| 2019 | [ |
| 1000 | 16 | hMDMs | ↓ | n.c. |
| ||
| 100 | 4–12 | Peritoneal mΦ |
|
| 2010 | [ | |
| 10 | 24 | Monocytes |
|
| 2014 | [ | |
| 1–100 | 24 | Monocytes |
| ↓ |
| 2016 | [ |
| 0.1 | 24 | Monocytes |
|
|
| ||
| 10 | 4 or 24 | PBMCs |
| ↓ |
| 2016 | [ |
| 10 | 18 | RAW 264.7 |
| ↓ | 2017 | [ | |
| 100 | 24 | Neutrophils |
| ↓ | 2019 | [ | |
| 100 | 24 | BMDCs |
| ↓ | 2010 | [ | |
| 100 | 6-24 | BMDCs |
| ↓ |
| 2012 | [ |
| 100 | 24 | BMDCs |
| ↓ | 2014 | [ | |
| 1000 | 24 | BMDCs |
| ↓ | 2019 | [ | |
| 50 | 6 or 24 | Microglia |
|
| 2019 | [ | |
| 100 | 6 | Microglia |
|
| |||
| 100 | 24 | Microglia |
| ↓ |
| ||
|
| |||||||
| First LPS (ng/mL) for period (hour) | Second LPS (ng/mL) for period (hour) | ||||||
| 100 for 24 | 10 for 4 | BMDMs | ↓ * | ↓ * | 2019 | [ | |
| 100 for 24 | 10 for 24 | hMDMs | ↓ * | 2014 | [ | ||
| 10 for 24 | 10 for 24 | Monocytes | ↓ * | ↓ * | 2016 | [ | |
* compared with non-tolerant cells; BMDMs, bone marrow-derived macrophages; hMDMs, human monocyte-derived macrophages; BMDCs, bone marrow-derived dendritic cells; PBMCs, peripheral blood mononuclear cells; mΦ, macrophages; n.c. no change; ↑ increased; ↓ decreased.
The effect of Complex I inhibitor rotenone on unstimulated or LPS-stimulated myeloid cells.
| Rotenone (μM) | Rotenone Treatment | LPS (μg/mL) for Period | Cell Type | ROS Method | mROS | Pro- | Year | Reference |
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| 2 | 0–30 min | Alveolar mΦ | LDCL | ↓ | 1994 | [ | ||
| 0.1–10 | 0–30 min | ML1-M | LDCL | ↓ | 1998 | [ | ||
| 0.2–5 | 30 min | HL-60 | PHPA |
| 2003 | [ | ||
| 10 | 90 min | BMDMs | DCFH2-DA |
| 2008 | [ | ||
| 10 | 6 h | THP-1 | MitoSOX |
|
| 2011 | [ | |
| 5 | 30 min | J774A.1 | MitoSOX |
| 2011 | [ | ||
| 0.5 | 16 h | RAW 264.7 | MitoSOX |
| 2011 | [ | ||
| 0.01 | 30 min | Peritoneal mΦ | WST-1 |
| 2012 | [ | ||
| 0.01 | 30 min | Microglia | WST-1 |
| 2012 | |||
| 0.001–0.1 | 6 h | BV2 microglia | DCFH-DA |
|
| 2013 | [ | |
| 1 | 6 h | BV2 microglia | DCFH-DA |
|
| 2013 | [ | |
| 0.01 | 18 h | Microglia | DCFH-DA |
| 2014 | [ | ||
| 0.5 | 25 h | BMDMs | CellROX | n.c. | 2015 | [ | ||
| 5 | 2 h | BMDMs | MitoSOX |
| n.c. | 2015 | [ | |
| 1 | 1.5 h | BMDMs | MitoSOX |
| 2016 | [ | ||
| 10 | 0–30 min | ML1-M | LDCL | ↓ | 2016 | [ | ||
| unknown | mΦ from THP-1 | DCFH-DA |
| 2017 | [ | |||
| 2 | 30 min | hMDMs | MitoSOX |
| 2019 | [ | ||
| 1.5 | 0–100 s | BMDMs | MitoSOX |
| 2019 | [ | ||
|
| ||||||||
| 1 | 18 h | 1 for 18 h | J774.1 | DCFH-DA | ↓ | ↓ | 2000 | [ |
| 5 | 10 min + 30 min | 0.1 for 30 min | RAW 264.7 | DCFH-DA/LDCL | ↓ | 2004 | [ | |
| 0.5 | 1 h + 24 h | 1 for 24 h | BMDMs | CellROX | ↓ | ↓ | 2015 | [ |
| 0.5 | 3 h + 24 h | 1 for 24 h | BMDMs | CellROX | ↓ | ↓ | 2016 | [ |
| 0.1 | 1 h + 8 h | 1 for 8 h | RAW 264.7 | DCFH2-DA | ↓ | ↓ | 2018 | [ |
| 1.5 | 0–100 s | 0.1 for 12 h | BMDMs | MitoSOX | ↓ | 2019 | [ | |
mΦ, macrophages; mROS, mitochondrial ROS; ML1-M, ML-1-derived monocytes/macrophages; LDCL, Lucigenin-derived chemiluminescence; s, second; min, minute, h, hour; n.c. no change; ↑ increased; ↓ decreased.
Figure 1Mitochondrial metabolic reprogramming in myeloid cells after LPS treatment. LPS induces glycolysis and accumulation of citrate and succinate in Krebs cycle. Citrate triggers pro-inflammation by metabolizing to Acetyl-CoA and anti-inflammatory feedback regulation via converting to itaconate. Accelerated succinate oxidation at CII and GDP2-mediated GPS increase the reduction of ubiquinone (Q), leading to ROS production at CI and CIII of ETC. Fatty acid synthesis, AASS and mitochondrial fragmentation are involved, while the roles of fatty acid oxidation and glutamine metabolism are still not clear.
Figure 2Mitochondrial metabolic reprogramming regulates functions of M1 and M2 macrophages. In M1 macrophages, increased glycolysis and decreased OXPHOS modulate the pro-inflammatory response through elevating histone acetylation, HIF1α and RET. Increased FAS, AASS and mitochondrial fragmentation also contribute to M1 polarization. In M2 macrophages, intact glycolysis and OXPHOS are required for anti-inflammatory response by inducing histone acetylation and STAT6 phosphorylation. Glutamine metabolism is essential to replenish Krebs cycle while FAO’s role is uncertain for M2 polarization. In M0/unstimulated macrophages, inhibition of CI or CIII blocks FET followed by ROS production. Mitophagy removes ROS-producing damaged mitochondria.