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. Author manuscript; available in PMC: 2024 Dec 1.
Published in final edited form as: Nat Metab. 2023 Nov 27;5(12):2206–2219. doi: 10.1038/s42255-023-00921-9

Efferocytosis-induced lactate enables the proliferation of pro-resolving macrophages to mediate tissue repair

David Ngai 1,, Maaike Schilperoort 1, Ira Tabas 1,2,
PMCID: PMC10782856  NIHMSID: NIHMS1954618  PMID: 38012414

Abstract

The clearance of apoptotic cells by macrophages (efferocytosis) prevents necrosis and inflammation and activates pro-resolving pathways, including continual efferocytosis. A key resolution process in vivo is efferocytosis-induced macrophage proliferation (EIMP), in which apoptotic cell-derived nucleotides trigger Myc-mediated proliferation of pro-resolving macrophages. Here we show that EIMP requires a second input that is integrated with cellular metabolism, notably efferocytosis-induced lactate production. Lactate signalling via GPR132 promotes Myc protein stabilization and subsequent macrophage proliferation. This mechanism is validated in vivo using a mouse model of dexamethasone-induced thymocyte apoptosis, which elevates apoptotic cell burden and requires efferocytosis to prevent inflammation and necrosis. Thus, EIMP, a key process in tissue resolution, requires inputs from two independent processes: a signalling pathway induced by apoptotic cell-derived nucleotides and a cellular metabolism pathway involving lactate production. These findings illustrate how seemingly distinct pathways in efferocytosing macrophages are integrated to carry out a key process in tissue resolution.


The clearance of apoptotic cells (ACs), known as efferocytosis, is a critical process mediated mostly by macrophages to promote tissue repair and homeostasis14. Efferocytosis prevents pro-inflammatory secondary necrosis and promotes the secretion of pro-resolving factors, such as TGF-β and IL-10, to suppress inflammation and promote tissue resolution14. Pro-resolving factors can, in turn, promote efferocytosis, particularly the sequential uptake of multiple ACs by a single macrophage known as continual efferocytosis5. This process forms a physiologically important efferocytosis-resolution positive-feedback cycle14.

Macrophage functions, including those involved in efferocytosis and resolution, is profoundly affected by intracellular metabolism and metabolic by-products. For example, lactate produced by glycolytic metabolism plays an active role in pro-resolution signalling in immune cells, including macrophages69. Two recent studies have shown that efferocytosis can drive increased glycolysis to produce lactate, which stimulates macrophage secretion of pro-resolving factors and promotes continual efferocytosis8,9. Another form of macrophage metabolism that occurs during efferocytosis is ‘cargo’ metabolism, whereby metabolites released during phagolysosomal degradation of ACs, such as nucleic acids1012, can trigger pro-resolving pathways and continual efferocytosis in efferocytosing macrophages. A physiologically important example of this principle is a macrophage proliferation pathway activated by AC-derived nucleotides, which functions in vivo to promote AC clearance and tissue resolution by expanding the pool of pro-resolving macrophages10. This process, termed efferocytosis-induced macrophage proliferation (EIMP), involves two convergent pathways: (1) an ERK1/2 pathway activated when ACs engage the macrophage MerTK receptor; and (2) a DNA-PK–mTORC2-Akt pathway activated by AC-derived oligonucleotides after the engulfed ACs are degraded in phagolysosomes. These pathways result in increased transcription of Myc messenger RNA (mRNA), leading to Myc-mediated cell cycling10. As Myc protein stability is an important determinant of Myc protein levels1319, we wondered how this aspect of Myc regulation factored into EIMP.

Glycolytic metabolism and lactate have been shown to promote proliferation in other cell types, such as vascular smooth muscle cells and regulatory T cells20,21. Moreover, lactate has been linked to the activation of the NAD+-dependent protein deacetylase, SIRT1, which is a protein deacetylase known to deacetylate Myc and promote its stability1416. We therefore proposed that efferocytosis-induced lactate (EIL) could promote EIMP through the stabilization of Myc protein by SIRT1-mediated deacetylation. In support of this idea, we show that lactate production during efferocytosis is necessary to increase Myc protein through protein stabilization and is required for EIMP. Myc stabilization requires SIRT1, which is downstream of a PKA–AMPK–NAD+ pathway, and PKA is activated by secreted lactate acting through the G-protein-coupled receptor 132 (GPR132). Inhibition or genetic targeting of the rate-limiting enzyme for lactate production, lactate dehydrogenase A (LDHA), reduces Myc protein and EIMP both in vitro and in vivo, leading to impaired macrophage proliferation and AC clearance and increased tissue necrosis. Thus, distinct metabolic pathways in efferocytosing macrophages, one involving AC cargo and the other involving lactate production, are integrated to enable the expansion of pro-resolving macrophages and subsequent tissue repair.

Results

EIL increases Myc and is necessary for EIMP

To test the role of EIL in EIMP, we inhibited LDHA with FX11 (ref. 22) in efferocytosing murine bone marrow-derived macrophages (BMDMs) and human monocyte-derived macrophages (HMDMs). We first confirmed that efferocytosis increases lactate production and that lactate levels are lowered by treatment with the LDHA inhibitor FX11 (Extended Data Fig. 1a). As previously reported10, incubating macrophages with ACs to trigger efferocytosis results in an increase in cell number after 24 hours, and we found that this increase was blocked by FX11 and restored by adding back lactic acid to the FX11-inhibited macrophages (Fig. 1a,b). In the context of our hypothesis that EIL might stabilize Myc protein to promote EIMP (below), we assessed whether EIL promotes AC-induced Myc protein expression. We used three methods of blocking LDHA activity: siLdha-treated BMDMs, which led to roughly 65% silencing of Ldha (Extended Data Fig. 1b); FX11-treated BMDMs and BMDMs from Ldhafl/fl; LysMCre+/− (M-LDHA-KO (knockout)) mice. All three strategies resulted in an attenuation of AC-induced Myc protein expression (Fig. 1ce). FX11 did not affect primary AC engulfment (Extended Data Fig. 1c), indicating that the decrease in Myc in LDHA-deficient or LDHA-inhibited macrophages was not merely due to decreased AC uptake. Furthermore, loss of AC-induced Myc protein expression in LDHA-KO or FX11-treated macrophages could be rescued by exogenous addition of lactic acid in a dose-dependent manner (Fig. 1f and Extended Data Fig. 1d). The rescue was not due to the acidity of lactic acid since the addition of sodium lactate could also rescue AC-induced Myc protein in LDHA-inhibited macrophages (Extended Data Fig. 1e). The link between lactate and EIMP was through Myc, as the decrease in EIMP that occurs with Myc silencing could not be rescued by exogenous lactic acid (Fig. 1g and Extended Data Fig. 1f). Moreover, lactic acid treatment in the absence of ACs had no effect on basal Myc protein expression or cell number (Extended Data Fig. 1g,h), consistent with the importance of first increasing Myc mRNA through the efferocytosis-induced p-ERK and AC-nucleotide/DNase2a/DNA-PK pathways10. Exogenous lactic acid attenuates AC-induced Myc in efferocytosing macrophages with normal EIL production (Extended Data Fig. 1i), suggesting that excessive lactic acid somehow partially suppresses the efferocytosis–Myc pathway. Indeed, while 10 mM lactic acid rescues AC-induced Myc protein expression in FX11-treated macrophages, 25 mM lactic acid does not (Extended Data Fig. 1j). Together, these data show that EIL drives Myc production and EIMP, but there is an upper limit to the concentration of lactic acid that can promote this process.

Fig. 1 |. LDHA-dependent lactate production during efferocytosis increases Myc protein and promotes EIMP.

Fig. 1 |

a,b, BMDMs (a) or HMDMs (b) were incubated with or without ACs for 45 min, chased for 24 h±50 μM FX11 and ± 10 mM lactic acid (LA), and quantified for cell number (n = 3). c, BMDMs transfected with 50 nM scrambled or Ldha siRNA for 72 h were incubated with or without ACs for 45 min, chased for 3 h and immunoblotted for Myc (n = 3). MW, molecular weight. norm., normalized. d, BMDMs were incubated with or without ACs for 45 min, chased for 3 h± 50 μM FX11 and immunoblotted for Myc (n = 3). e, Ldhafl/fl or Ldhafl/fl; LysMCre+/− BMDMs were incubated with or without ACs for 45 min, chased for 3 h and immunoblotted for Myc (n = 3). f, Ldhafl/fl or Ldha fl/fl; LysMCre+/− BMDMs were incubated with or without ACs for 45 min, chased for 3 h±10mM lactic acid and immunoblotted for Myc (n = 3). g, BMDMs transfected with 50 nM scrambled or Myc siRNA were incubated with or without ACs for 45 min, chased for 24 h±10mM lactic acid and quantified for cell number (n = 3). Bars represent means±s.e.m. Statistics were performed by one-way ANOVA in a and b and f and g or two-way ANOVA in c–e. NS, not significant (P > 0.05).

EIL stabilizes Myc protein through Myc deacetylation

We propose that EIL increases Myc protein in a step that follows and requires Myc mRNA induction by the AC-nucleotide–DNase2a–DNA-PK pathway10. If so, then lactic acid should not be able to rescue EIMP if this initial Myc mRNA-inducing pathway is blocked. One way to block the AC-nucleotide-DNA-PK pathway is to silence DNase2a, as DNase2a-mediated hydrolysis of AC-DNA to oligonucleotides in phagolysosomes is required to activate DNA-PK and induce Myc10. Accordingly, we evaluated the effect of lactic acid on Myc in small-interfering Dnase2a (siDnase2a)-treated efferocytosing macrophages. As expected10, siDnase2a treatment of efferocytosing macrophages blunted AC-induced Myc protein expression, and Myc protein expression was not rescued by lactic acid in the siDnase2a-treated macrophages (Fig. 2a). This latter finding is consistent with the idea that lactate stabilizes Myc protein following DNase2a-dependent induction of Myc mRNA in efferocytosing macrophages. Further, if lactate promotes EIMP by promoting Myc protein stabilization and not Myc transcription, then blocking EIL should not lower AC-induced Myc mRNA. Indeed, in both BMDMs and HMDMs, the AC-induced increase in Myc mRNA was not blocked by FX11 (Fig. 2b,c). In a similar vein, while lactate secreted from efferocytosing macrophages could act on neighbouring non-efferocytosing macrophages, these macrophages should not respond with increased Myc protein, as non-efferocytosing macrophages lack the initial AC-induced increase in Myc mRNA. Consistent with this prediction, Myc protein expression was increased in AC+ but not AC macrophages, and it was reduced by siLdha only in AC+ macrophages (Fig. 2d).

Fig. 2 |. EIL stabilizes AC-induced Myc protein through decreased Myc acetylation, which occurs following AC-nucleotide/DNase2a-mediated Myc transcription.

Fig. 2 |

a, BMDMs transfected with 50 nM scrambled or Dnase2a siRNA for 72 h were incubated with or without ACs for 45 min, chased for 3 h and immunoblotted for Myc (n = 3). b,c, BMDMs (b) or HMDMs (c) were incubated with or without ACs for 45 min, chased for 3 h± 50μM FX11 and assayed for Myc mRNA (n = 3). d, BMDMs transfected with 50 nM scrambled or Ldha siRNA for 72 h were incubated with PKH26-labelled ACs for 45 min, chased for 3 h, fixed with 4% PFA and immunostained for Myc. Cells were imaged with a 20x objective. Scale bar, 20 μm (n = 4). e, Ldhafl/fl or Ldhafl/fl; LysMCre+/− BMDMs were incubated with or without ACs for 45 min, chased for 3h± 10 μM MG132 and immunoblotted for Myc (n = 4). f, BMDMs were incubated with ACs for 45 min, chased for 3h±50 μM FX11 and ± 10mM lactic acid in the presence of 10 μM MG132 and immunoblotted for K323-acetyl-Myc, total Myc and β-actin (n = 3). Bars represent means±s.e.m. Statistics were performed by one-way ANOVA in a and f or two-way ANOVA in b–e. NS, P > 0.05.

Given that acetylation of Myc promotes its proteasomal degradation14,15,17, we determined whether the loss of AC-induced Myc protein expression resulting from LDHA-KO could be rescued by the protea-some inhibitor MG132. In control (Ldhafl/fl) BMDMs, MG132 treatment boosted AC-induced Myc protein expression, suggesting that there is a basal level of Myc degradation in efferocytosing macrophages (Fig. 2e, Cre−/− data). Most importantly, whereas AC-induced Myc protein expression was reduced by LDHA-KO in vehicle-treated BMDMs, it was not reduced by LDHA-KO in MG132-treated BMDMs (Fig. 2e, Cre+/− data). These data suggest that EIL promotes AC-induced Myc protein expression by reducing the proteasomal degradation of Myc protein. MG132 treatment of non-efferocytosing macrophages had no significant effect on Myc protein expression compared with untreated efferocytosing macrophages (Extended Data Fig. 1k), which is consistent with the above data that lactic acid alone has no effect on Myc protein expression or macrophage proliferation. This finding further supports the notion of a two-hit process consisting of AC-cargo-mediated Myc mRNA transcription10 followed by EIL-mediated Myc protein stabilization.

Given that acetylation at lysine-323 (Ac-K323) of Myc enhances Myc proteasomal degradation16, we wanted to test the hypothesis that EIL promotes Myc deacetylation. However, assaying acetyl-Myc is challenging, as total Myc is markedly upregulated by ACs, and proteasomal degradation causes the loss of acetyl-Myc14,15,17. We therefore assessed the effect of LDHA inhibition ± lactic acid in macrophages incubated with ACs and MG132, that is, to keep total Myc relatively comparable among groups and to prevent the proteasomal loss of acetyl-Myc. Using this strategy, we were able to show that LDHA inhibition with FX11 increased both the acetyl-Myc to total Myc ratio and the acetyl-Myc to β-actin ratio and that lactic acid treatment of these LDHA-inhibited macrophages lowered both ratios to the levels seen without LDHA inhibition (Fig. 2f). These combined data support the idea that after Myc transcription is induced by the AC-cargo pathway10, EIL deacetylates and stabilizes Myc protein in efferocytosing macrophages to enable macrophage proliferation.

EIL-induced SIRT1 activation increases Myc protein and EIMP

Sirtuin-1 (SIRT1) is an NAD+-dependent protein deacetylase that has been shown previously in other cell types to deacetylate and stabilize Myc protein1416,18, and SIRT1 has also been implicated in efferocytosis and inflammation resolution12,23. Moreover, lactic acid generated by exercise has been reported to activate SIRT1 in the brain24. We therefore considered the hypothesis that EIL uses SIRT1 to stabilize Myc protein and enable EIMP. In support of this idea, we found that efferocytosis activates SIRT1, which was attenuated by FX11 treatment and restored with exogenous lactic acid (Fig. 3a). Efferocytosis also increased SIRT1 protein expression, and partial silencing of SIRT1 lowered AC-induced Myc protein expression (Fig. 3b). SIRT1-silencing caused a modest decrease in primary efferocytosis (Extended Data Fig. 2a), which was probably too small to explain the large decrease in AC-induced Myc protein expression. Nonetheless, we tested the effect of the SIRT1 inhibitor EX527 (ref. 25) added after AC uptake and found that this treatment also lowered AC-induced Myc protein expression (Fig. 3c). Moreover, exogenous lactic acid could not rescue the reduction in AC-induced Myc protein expression following EX527 treatment (Extended Data Fig. 2b), which is consistent with SIRT1 acting downstream of lactate. In addition, EX527 did not affect AC-induced Myc mRNA expression, indicating that SIRT1 regulates Myc protein expression posttranscriptionally (Fig. 3d). Most importantly, SIRT1 inhibition blocked EIMP in both mouse BMDMs and HMDMs as measured by total cell number (Fig. 3e,f). Finally, to directly link SIRT1 to stabilization of Myc against proteasomal degradation (above), we showed that the reduction in AC-induced Myc protein expression by EX527 was abrogated by MG132 (Fig. 3g) and that EX527 treatment of efferocytosing macrophages increased acetyl-Myc levels (Fig. 3h). These combined data support the idea that EIL-induced SIRT1 activation deacetylates and stabilizes Myc protein, thereby enabling EIMP.

Fig. 3 |. EIL activates SIRT1, which stabilizes Myc by deacetylation and promotes EIMP.

Fig. 3 |

a, BMDMs were incubated with or without ACs for 45 min, chased for 1 h±50 μM FX11 and ± 10 mM LA, and assayed for SIRT1 activity (n = 3). b, BMDMs transfected with 50 nM scrambled or Sirt1 siRNA for 72 h were incubated with or without ACs for 45 min, chased for 3 h and immunoblotted for SIRT1 and Myc (n = 3). c, BMDMs were incubated with or without ACs for 45 min, chased for 3 h±10 μM EX527 and immunoblotted for Myc (n = 3). d, BMDMs were incubated with or without ACs for 45 min, chased for 3 h±10 μM EX527 and assayed for Myc mRNA (n = 3). e,f, BMDMs (e) or HMDMs (f) were incubated with or without ACs for 45 min, chased for 24 h±10 μM EX527 and quantified for cell number (n = 3). g, BMDMs were incubated with or without ACs for 45 min, chased for 3 h± 10 μM EX527 and ± 10 μM MG132, and immunoblotted for Myc (n = 4). h, BMDMs were incubated with ACs for 45 min and then chased for 3h ± 10 μM EX527, and cell extracts were immunoprecipitated (IP) with control IgG or anti-cMyc antibody. The immunoprecipitated protein was immunoblotted for acetylated lysine (acetyl-Myc) and total Myc (n = 3). Acetyl-Myc was quantified relative to total Myc. Bars represent means ± s.e.m. Statistics were performed by two-tailed Student’s t-test in h, one-way ANOVA in a and two-way ANOVA in b–g. NS, P>0.05.

CSF1-induced macrophage proliferation, which is a common form of proliferation observed in inflammation, does not involve the AC-cargo-induced signalling pathway that occurs in EIMP10. Nonetheless, as CSF1 is known to both increase lactate production26 and induce Myc expression27 in macrophages, we investigated the LDHA–SIRT1 pathway in CSF1-treated macrophages. Both FX11 and EX527 attenuated CSF1-induced Myc protein expression (Extended Data Fig. 2c,d), which may suggest a common LDHA–SIRT1–Myc pathway in both CSF1-treated macrophages and efferocytosing macrophages. However, neither inhibitor blocked the increase in cell number in CSF1-treated macrophages beyond a minor trend (Extended Data Fig. 2e). These data are consistent with previous findings that inputs in addition to Myc are required to mediate proliferation in CSF1-treated macrophages28. Indeed, while silencing Myc markedly decreased proliferation in efferocytosing macrophages, there was only a minor, non-statistically significant trend in CSF1-treated macrophages (Extended Data Fig. 2f). We have also shown previously that silencing Bhlhe40, a key mediator of EIMP downstream of Myc, could abolish EIMP whereas it had no significant effect on CSF1 mediated proliferation10. These data further distinguish EIMP from CSF1-induced macrophage proliferation.

EIL stabilizes Myc through an AMPK–NAD+-SIRT1 pathway

Several previous studies on lactate and SIRT1, although not related to Myc or proliferation, suggested to us a hypothesis as to how lactate might be linked to the SIRT1–Myc–EIMP pathway. SIRT1 is an NAD+-dependent protein deacetylase29. In non-immune tissues such as skeletal muscle, AMPK (5′ AMP-activated protein kinase) has been shown to raise NAD+ levels through the nicotinamide phosphoribosyl-transferase salvage pathway, which then activates SIRT1 (refs. 29,30). Other studies have reported that lactic acid can activate AMPK, for example, in skeletal muscle in vivo and BMDMs in vitro7,31 and that efferocytosis can activate AMPK32. Given these previous observations, we proposed that EIL might activate AMPK, which would then increase the NAD+ to NADH ratio and activate the SIRT1-mediated Myc-EIMP pathway. Consistent with this hypothesis, we found that both lactic acid treatment and incubation of macrophages with ACs raised the level of pAMPK, which indicates AMPK activation, and the lactic acid-induced increase in pAMPK in efferocytosing macrophages was prevented by LDHA silencing (Fig. 4a,b). Moreover, inhibition of AMPK with the inhibitor Compound C reduced AC-induced SIRT1 activity (Fig. 4c). Compound C also reduced AC-induced increases in both Myc protein (Fig. 4d) and EIMP, as measured by cell count (Fig. 4e). These effects were not caused by a decrease in AC uptake, as AMPK inhibition by Compound C did not affect primary efferocytosis (Extended Data Fig. 2g). Furthermore, AMPK inhibition did not blunt CSF1-dependent macrophage proliferation, indicating specificity for EIMP (Fig. 4f).

Fig. 4 |. EIL activates AMPK, thereby increasing the NAD+ to NADH ratio, SIRT1 activity, Myc protein and EIMP.

Fig. 4 |

a, BMDMs were incubated with or without ACs for 45 min, treated ± 10 mM lactic acid for 1h and immunoblotted for pAMPK and total AMPK (n = 3). b, BMDMs transfected with 50 nM scrambled or Ldha siRNA for 72 h were incubated with or without ACs, chased for 1 h and immunoblotted for pAMPK and total AMPK (n = 3). c, BMDMs were incubated with or without ACs, chased for 1 h±10 μM CompC and assayed for SIRT1 activity (n = 3). d, BMDMs were incubated with or without ACs, chased for 3 h ± 10 μM Compound C (CompC) and immunoblotted for Myc (n = 3). e, BMDMs were incubated with or without ACs, chased for 24 h± 10 μM CompC and quantified for cell number (n = 3). f, WT BMDMs were treated for 24 h with 50 ng ml−1 CSF1±10 μM CompC and quantified for cell number (n = 3). g, Ldhdfl/fl or Ldhdfl/fl; LysMCre+/− BMDMs were incubated with or without ACs, chased for 1 h±10mM LA and assayed for the NAD+ to NADH ratio (n = 3). h,i, BMDMs were incubated with or without ACs, chased for 3 h±50 μM FX11 and ± 500 μM NMN and immunoblotted for Myc (n = 3) (h) or chased for 24h±50 μM FX11 and ± 500 μM NMN and quantified for cell number (n = 3) (i). j, BMDMs were incubated with or without ACs, chased for 1 h±10 μM CompC and assayed for the NAD+ to NADH ratio (n = 3). k,l, BMDMs were incubated with or without ACs, chased for 3 h ± 10 μM CompC and ± 500 μM NMN and immunoblotted for Myc (n = 3) (k) or chased for 24 h± 10 μM CompC and±500μM NMN and quantified for cell number (n = 3) (l). Bars represent means ±s.e.m. Statistics were performed by two-tailed Student’s t-test in a, one-way ANOVA in c and f–l, or two-way ANOVA in d and e. NS, P > 0.05. Ctrl, control.

As mentioned, EIL might be linked to SIRT1 activation through an increase in the NAD+ to NADH ratio29. Consistent with this idea, the addition of ACs to macrophages increased the NAD+ to NADH ratio, and this increase was prevented by LDHA-KO and rescued by exogenous lactic acid treatment (Fig. 4g). To assess causation, FX11-treated macrophages were supplemented with or without the NAD+ precursor, nicotinamide mononucleotide (NMN), to rescue NAD+ levels and then assayed for Myc protein expression and proliferation. We found that the decreases in both Myc protein expression and cell number in FX11-treated AC-exposed macrophages were rescued by NMN (Fig. 4h,i). In addition, Compound C blunted the AC-induced increase in the NAD+ to NADH ratio (Fig. 4j), and NMN supplementation of Compound C-treated cells, which restored the NAD+ to NADH ratio (Extended Data Fig. 2h), rescued the decreases in both AC-induced Myc protein expression and cell number (Fig. 4k,l). In the absence of efferocytosis, NMN did not affect Myc protein expression (Extended Data Fig. 2i). Furthermore, NMN in these experiments was acting through SIRT1, as the loss of AC-induced Myc protein in SIRT1-silenced BMDMs could not be rescued by NMN (Extended Data Fig. 2j). Thus, EIL activates an AMPK–NAD+–SIRT1 pathway to increase Myc protein expression and promote EIMP.

EIL activates AMPK through GPR132-PKA signalling

To determine how EIL activates AMPK, we considered the canonical mechanism of AMPK activation, namely, as a response to ATP depletion33. However, ATP levels do not change or slightly increase rather than decrease during and after AC uptake8,12. We therefore became interested in a cell-surface G-protein-coupled lactate receptor called GPR132, which was shown previously to be involved in lactate-mediated activation of a PKA–AMPK pathway in inflammatory macrophages7. If this pathway were relevant in our setting, EIL-induced Myc protein would require the release of lactate to the extracellular space to activate the cell-surface receptor. Indeed, partial silencing of the lactate transporter SLC16a1, which partially decreased the export of lactate from efferocytosing macrophages as previously reported8,9 (Extended Data Fig. 3a,b), partially lowered Myc protein expression (Fig. 5a). We next explored the effect of the GPR132 inhibitor telmisartan34 and the GPR132 activator ONC212 (ref. 35) on EIL-induced Myc protein expression. Telmisartan treatment resulted in a reduction of AC-induced Myc protein expression (Fig. 5b) and, conversely, the loss of AC-induced Myc protein expression in FX11-treated macrophages was rescued by ONC212 (Fig. 5c). As a complement to the telmisartan data, we showed that small-interfering RNA (siRNA) silencing of GPR132 lowered both AC-induced Myc protein expression and EIMP, as measured by cell number (Fig. 5d,e and Extended Data Fig. 3c). Moreover, siGpr132 blocked the ability of lactic acid to rescue Myc protein expression in FX11-treated macrophages (Extended Data Fig. 3d). Gpr132 mRNA was increased in an LDHA-dependent manner when macrophages were incubated with ACs, suggesting a possible positive-feedback cycle driven by EIL (Extended Data Fig. 3e).

Fig. 5 |. EIL activates AMPK by GPR132-PKA signalling, which increases Myc protein and EIMP.

Fig. 5 |

a, BMDMs transfected with 50 nM scrambled or Slc16a1 siRNA for 72 h were incubated with or without ACs for 45min, chased for 3 h and immunoblotted for Myc (n = 3). b, BMDMs were incubated with or without ACs, chased for 3 h± 10 μM telmisartan (Telm) and immunoblotted for Myc (n = 3). c, BMDMs were incubated with or without ACs, chased for 3 h±50 μM FX11 and ± 20 μM ONC212 (ONC) and immunoblotted for Myc (n = 3). d,e, BMDMs transfected with 50 nM scrambled (Scr) or Gpr132 siRNA for 72 h were incubated with or without ACs, chased for 3 h and immunoblotted for Myc (n = 3) (d) or chased for 24 h and quantified for cell number (n = 3) (e). f, BMDMs were treated ± 10mM lactic acid for 1 h and then immunoblotted for pCREB and total CREB (n = 3). g, Ldhafl/fl or Ldhafl/fl; LysMCre+/− BMDMs were incubated with or without ACs, chased for 1 h±10mM LA and immunoblotted for pCREB and total CREB (n = 3). h, BMDMs transfected with scrambled or Gpr132 siRNA were incubated with or without ACs, chased for 1 h and immunoblotted for pCREB, total CREB, pAMPK and total AMPK (n = 3). I–k, BMDMs were incubated with or without ACs, chased for 1 h± 10 μM H89 and immunoblotted for pAMPK and total AMPK (n = 3) (i), chased for 3 h±10μM H89 and immunoblotted for Myc (n = 3) (j), or chased for 24 h±10 μM H89 and quantified for cell number (n = 3) (k). Bars represent means ± s.e.m. Statistics were performed by two-tailed Student’s t-test in f, one-way ANOVA in c and g, or two-way ANOVA in a, b, d, e and h–k. NS, P > 0.05. l, Graphical depiction of how lactate produced by efferocytosis-induced macrophage glycolysis (EIMG)9 integrates with the previously elucidated AC-derived nucleotide pathway10 to enhance Myc protein levels and EIMP. This image was created with BioRender.com.

To probe the role of the GPR132 signalling molecule PKA, we first incubated macrophages with exogenous lactic acid and showed that this treatment increased phosphorylation of CREB (cAMP-response element binding protein) (Fig. 5f), which is a target of PKA and a marker for PKA activity. Further, incubation of macrophages with ACs increased pCREB (phosphorylated CREB), and this increase was reduced by LDHA-KO and restored by exogenous lactic acid (Fig. 5g). In addition, silencing GPR132 in AC-exposed macrophages lowered pCREB and pAMPK (Fig. 5h). Finally, treatment of AC-exposed macrophages with the PKA inhibitor H89 reduced pAMPK activation, Myc protein expression and EIMP, as measured by cell count (Fig. 5ik).

In conclusion, while our previous study elucidated an AC-cargo pathway in efferocytosing macrophages that increases Myc mRNA10, our new data suggest that EIMP requires a second, posttranscriptional process, namely, stabilization of Myc protein. This process is triggered by extracellular lactate resulting from efferocytosis-induced macrophage glycolysis and lactate export by SLC16a1 (refs. 8,9). Extracellular lactate activates a GPR132–KA–AMPK pathway that increases the NAD+ to NADH ratio, leading to SIRT1-mediated Myc protein deacetylation and stabilization. The increase in Myc protein from the combined actions of the AC-cargo pathway and EIL enable EIMP (Fig. 5l).

In vivo evidence that EIL promotes EIMP and tissue resolution

To evaluate the role of EIL in EIMP and efferocytosis in vivo, we used a model of acute apoptosis in which efferocytosis is required to promote tissue resolution. In this model, dexamethasone treatment of mice induces thymocyte apoptosis, followed by clearance of the apoptotic thymocytes by recruited thymic macrophages and then tissue resolution10,11,3638. We conducted this experiment in irradiated mice transplanted with either control Ldhafl/fl bone marrow cells or Ldhafl/fl bone marrow cells transfected ex vivo with cell-permeable TAT-Cre before infusion to knockdown Ldha (LDHA-KD). In the LDHA-KD cohort, LDHA protein was decreased by roughly 50% in both bone marrow cells (Fig. 6a) and thymic macrophages (Fig. 6b), but not in non-macrophage Mac2 thymic cells (Fig. 6b). Moreover, the concentrations of immune cells in the circulation were similar in the LDHA-KD and control group mice, suggesting that haematopoietic LDHA-KD did not affect the systemic immune system (Extended Data Fig. 4af). Moreover, the circulating lactate concentration was also unchanged by knockdown of haematopoietic LDHA (Extended Data Fig. 4g). Next, we assayed Myc protein expression and EIMP in thymic macrophages by immunostaining for Myc protein and Ki67, a marker of proliferation, respectively. We looked at both macrophages carrying out efferocytosis, as marked by TUNEL+ (terminal deoxynucleotidyl transferase dUTP nick end labelling) staining in the macrophage cytoplasm (AC+ macrophages), as well as macrophages without cytoplasmic TUNEL staining (AC macrophages). In control mice, there was a marked increase in both Myc and Ki67 in AC+ thymic macrophages, but not AC macrophages, as previously described10 (Fig. 6c,d, Ctrl). However, both Myc protein expression and Ki67-positivity were substantially less in AC+ macrophages in the thymi of LDHA-KD mice (Fig. 6c,d, LDHA-KD). There was no significant difference in Mac2+ cell number in the two cohorts (Extended Data Fig. 4h). Continual efferocytosis is a critical process in the dexamethasone model due to the large number of apoptotic thymocytes10,38,39. In this context, we predicted that LDHA-KD, by preventing the pool of efferocytosis-capable macrophages from expanding, would show a defect in AC clearance. In line with this prediction, thymic macrophage efferocytosis, quantified as the ratio of macrophage-associated to free TUNEL+ dead cells10,11,36,37, was impaired in the LDHA-KD cohort (Fig. 6e). Further, consistent with impaired dead cell clearance, the thymi of LDHA-KD mice had more TUNEL+ cells than control mouse thymi (Fig. 6f). Finally, a key functional endpoint of efferocytosis is prevention of tissue necrosis, and we found that thymic necrosis, quantified as the percentage area of hypocellular regions with fragmented nuclei, was increased in the LDHA-KD cohort (Fig. 6g). These combined data provide evidence that LDHA-dependent EIL is necessary for Myc expression and proliferation in efferocytosing macrophages in vivo and, most importantly, for the proper clearance of dead cells and tissue resolution.

Fig. 6 |. In vivo evidence that EIL promotes EIM P and tissue resolution.

Fig. 6 |

Bone marrow was isolated from male Ldhfl/fl mice, treated with 5 μM TAT-Cre to knockdown LDHA (LDHA-KD) or with vehicle (Ctrl) and transplanted into irradiated male C57BL/6J mice (n = 8, 6). After 4 weeks, the mice were subjected to a dexamethasone-thymus assay. a, Bone marrow cells isolated from mice were immunoblotted for LDHA (n = 5). b, Thymus sections were stained for LDHA (green) and Mac2 (magenta) and quantified for LDHA MFI in Mac2+ and Mac2–areas (n = 8, 6). Scale bar, 20 μm. c, Thymus sections stained with TUNEL (white), anti-Myc (green) and anti-Mac2 (magenta) were quantified for Myc MFI in Mac2+ TUNEL (AC) and Mac2+ TUNEL+ (AC+) cells (n = 8, 6). Scale bar, 20 μm. d, Thymus sections stained with TUNEL (white), anti-Ki67 (green) and anti-Mac2 (magenta) were quantified for the percentage Ki67+ in Mac2+ TUNEL+ (AC+) or Mac2+ TUNEL+ (AC+) cells (n = 8, 6). Scale bar, 20 μm. e, Thymus sections were stained with TUNEL (white) and anti-Mac2 (magenta) and, as a measure of efferocytosis, the ratio of Mac2+ macrophage-associated to free TUNEL+ ACs was quantified (n = 8, 6). Scale bar, 20 μm. f, Thymus sections stained with TUNEL (red) were quantified for percentage TUNEL+ area of total area (n = 8, 6). Scale bar, 50 μm. g, H&E-stained thymus sections were quantified for percentage necrotic area (n = 8, 6). Scale bar, 50 μm. Dot blots show means ± s.e.m. Statistics were performed by two-tailed Student’s t-test in a and b and f and g, Mann-Whitney test in e and by two-way ANOVA in c and d. NS, P> 0.05.

Discussion

The findings herein illustrate how efferocytosing macrophages can integrate AC-cargo metabolism with macrophage glucose-lactate metabolism to carry out a key process in tissue resolution. In particular, the proliferation of efferocytosing macrophages (EIMP), which expands the pool of pro-resolving macrophages to mediate resolution, requires multiple inputs, consisting not only of MerTK-ERK1/2 and AC-nucleotide-DNA-PK-mTORC2-Akt signalling to increase Myc mRNA, as described previously10, but also EIL to subsequently stabilize Myc protein.

Although the pathway described here is mediated by extracellular lactate, which could in theory act on all neighbouring macrophages, only AC+ macrophages were found to have an LDHA-dependent increase in Myc expression. This finding is consistent with the idea that the EIL-Myc protein stabilization pathway is a process that follows increased Myc mRNA, which occurs only in efferocytosing macrophages. However, there may also be other paracrine pro-resolving effects of lactate that can affect both AC+ and AC macrophages, including other effects mediated by the GPR132–PKA–AMPK signalling pathway. For example, lactate can drive phenotypic switching of macrophages to a pro-resolving phenotype in certain contexts, including immunosuppression by cancer cells and the resolution of LPS-stimulated macrophage inflammation6,7,40, and SLC16a1, as well as GPR132 and AMPK signalling, have been implicated in the reprogramming of macrophages to a pro-resolving phenotype7,4042. A previous report showed that conditioned media from efferocytosing macrophages increased Tgfb and Il10 mRNA in non-efferocytosing macrophages and that this did not occur using conditioned media from efferocytosing macrophages whose lactate transporters had been silenced8. However, a direct, mechanistic link between secreted lactate and pro-resolving mediators remains to be fully explored. Additionally, we showed recently that efferocytosis-induced glycolysis promotes continual efferocytosis in a lactate-dependent manner9. Although other cell types can contribute to the lactate pool, LDHA-KD in macrophages was sufficient to prevent EIMP in the dexamethasone-thymus experiment. EIMP macrophages have been shown to be very good at continual efferocytosis in vitro10, and the capacity for continual efferocytosis in vitro has been tightly linked to apoptotic thymocyte clearance and tissue repair in this model,9,11,38,43. However, there may exist other beneficial paracrine effects of EIL on tissue repair and the prevention of tissue necrosis. Paracrine effects are important, as only a subset of macrophages carry out efferocytosis810,36, and thus EIL may be a mechanism by which the resolution-efferocytosis cycle may act more broadly.

Enhanced lactate secretion by efferocytosing macrophages could also have a beneficial role in tissue repair by signalling to other cell types44,45. For example, lactate has been shown to promote a synthetic phenotype in vascular smooth muscle cells and enhance their proliferation20. In atherosclerosis regression, a setting in which efferocytosis is reawakened after being relatively dormant in progressing lesions11,46, a major hallmark is thickening of the fibrous cap mediated by synthetic vascular smooth muscle cell-derived cells, which contributes to plaque stabilization47. Accordingly, paracrine effects of EIL could have a role in enhancing this process. Lactate has also been shown to suppress the activation of effector CD4+ and CD8+ T cells48, whereas lactate promotes the proliferation and activity of T-regulatory (Treg) cells21. Treg cells play a key role in polarizing macrophages to a pro-resolving, pro-efferocytic phenotype. for example, by enhancing the secretion of mediators such as IL-10 by macrophages to dampen inflammation and assist in tissue repair46,49,50. Thus, paracrine effects of EIL may play a role in promoting the efferocytosis-resolution cycle in settings in which Treg cells play important roles, such as in atherosclerosis regression46,50.

Our data show a direct role for lactate in EIMP via activation of the lactate receptor GPR132, leading to Myc stabilization and subsequent EIMP. However, the NAD+ that is generated by this GPR132–AMPK pathway and/or by the upstream glycolysis–pyruvate–LDHA pathway9,51 may further enhance efferocytosis-induced glycolysis8,9, thereby forming a positive-feedback pathway. Future studies will be necessary to determine whether such a feedback pathway is operational in efferocytosing macrophages and, if so, whether it contributes to efferocytosis-induced resolution processes, including continual efferocytosis9 and EIMP.

Both inflammatory macrophages and efferocytic macrophages can undergo proliferation and increase glycolysis to enhance lactate secretion810,52. However, macrophages do not undergo EIMP in inflammatory settings, and the kinetics and mechanisms of glycolysis are different between inflammatory macrophages and efferocytosing macrophages9,10. Inflammatory macrophages have a prolonged metabolic shift towards increased glycolysis, whereas efferocytosing macrophages have a transient burst in glycolysis9. We show here that if the lactate concentration is too high, AC-induced Myc expression is blunted, and thus the transient increase in glycolysis during efferocytosis may produce an optimal amount of lactate to sustain EIMP. Related to this point, in inflammatory diseases such as sepsis and atherosclerosis, increased circulating lactate is associated with disease severity53,54, whereas efferocytosis occurs locally and is transient and thus would probably not be associated with higher levels of circulating lactate. Thus, it is possible that the elevated levels of lactate in inflammatory conditions may be detrimental or at least be a marker of pathophysiologic processes. Conversely, in conditions in which the inflammatory load is lower and efferocytosis is higher, such as in early atherosclerosis55 and atherosclerosis regression11, we suggest that lactate may be beneficial, which is supported by the dexamethasone-thymus data herein. Consistent with this idea, atherosclerosis is accelerated in GPR132-KO mice56, which could be due in part from defects of the EIL-EIMP pathway in early atherosclerosis. In atherosclerosis regression, we have previously shown that blocking the AC-cargo-EIMP pathway through siDnase2a or siRictor nanoparticles prevents plaque stabilization10. Future studies are warranted to determine whether blocking the EIL-EIMP pathway would yield a similar result.

GPR132 is known to be downregulated in LPS-induced inflammatory macrophages7, which may be a contributing factor as to why inflammatory macrophages are unable to undergo EIMP despite being able to perform efferocytosis10. Lactate infusion in initially healthy mice was shown to increase GPR132 expression in adipose tissue macrophages7, which is consistent with our data showing that efferocytosis induces Gpr132 in an LDHA-dependent manner. This pathway may form a positive-feedback loop and contribute to the beneficial, pro-resolving effects of lactate infusion observed in humans. For example, ischaemic postconditioning through the infusion of lactated Ringer’s solution (sodium lactate solution) resulted in an attenuation of ischaemia-reperfusion injury in myocardial infarction patients57. Exercise also transiently increases circulating lactic acid, which could be a contributing factor in the ability of exercise to protect against chronic inflammatory diseases58. From a therapeutic viewpoint, the findings here also raise the possibility that direct activation of GPR132 through pharmacologic agonists such as ONC212 could reawaken the dormant efferocytosis-resolution cycle that drives many chronic inflammatory diseases2,35.

Methods

Cell lines

L-929 fibroblasts (CCL-1) and Jurkat T-lymphocytes (TIB-152) were obtained from ATCC. Both cell lines were cultured in DMEM supplemented with 10% heat-inactivated fetal bovine serum (HI-FBS) and 100 U ml−1 penicillin-streptomycin (Gibco). Cells were incubated at 37 °C with 5% CO2.

Experim ental animals

Animal protocols used were approved by Columbia University’s Institutional Animal Care and Use Committee and were cared for according to National Institutes of Health (NIH) guidelines for the care and use of laboratory animals. The mice were socially housed in standard cages at 22 °C and with a 12-hour light-dark cycle in a barrier facility with ad libitum access to food and water. Male C57BL/6J mice (JAX, catalogue no. 000664), 8–10 weeks old, were used as bone marrow-transplantation (BMT) recipient mice for the dexamethasone-thymus experiment. Male Ldhaft/ft mice on the C57BL/6J background (JAX, catalogue no. 030112), 8–10 weeks old, were used as the bone marrow donors for this experiment. Mice of the same age and similar weight were randomly assigned to experimental and control groups.

BMT

Eight to ten-week-old C57BL/6J male mice (JAX) were irradiated with 10 Gγ with a caesium-137 γ-emitting irradiator (Gamma cell 40, MSD Nordion). Bone marrow cells collected from Ldhafl/fl mice (JAX, catalogue no. 030112) were incubated with 5 μM TAT-CRE Recombinase (Millipore) for 30 min to delete the Ldha gene. Bone marrow cells were then rinsed twice with PBS. Ldhafl/fl bone marrow cells not treated with TAT-Cre Recombinase were used as the control. Then 4 h after irradiation, 2.5×106 bone marrow cells were administered to recipient mice by tail vein injection. Recipient mice were allowed to recover for 4 weeks and given water containing 10 mg ml−1 neomycin for the first 3 weeks. These mice were then used for the dexamethasone-thymus assay.

Dexam ethasone-thym us assay

Male mice transplanted with control or Ldha-deleted bone marrow were injected intraperitoneally with 250 μg dexamethasone (Sigma) in PBS. Eighteen hours after injection, the thymi were harvested, fixed in 10% formalin, embedded in paraffin and sectioned at a thickness of 5 μm. Sections were stained as described below under Immunofluorescence staining and microscopy. Efferocytosis was quantified as the ratio of Mac2+-associated TUNEL+ cells to free TUNEL+ cells. Macrophage proliferation was assessed by quantifying % Ki67+ in Mac2+ TUNEL+ or Mac2+ TUNEL cells. Myc expression was assessed by measuring Myc mean fluorescence intensity (MFI) in Mac2+ TUNEL+ or Mac2+ TUNEL cells. To measure necrotic area, H&E-stained thymic sections were imaged and regions with hypocellularity and fragmented nuclei were quantified. Male mice were used on the basis of evidence that female mice are more protected from dexamethasone-induced thymocyte apoptosis than male mice59.

Mouse BMDM s

Bone marrow cells were isolated from the femurs of 8–10-week-old male C57BL/6J mice or from 6-week-old Ldhafl/fl mice or Ldhafl/fl ; LysMCre+/− mice and were cultured for 7 days in BMDM differentiation medium, which was DMEM supplemented with 10% (v/v) HI-FBS; 100 U ml−1 penicillin and 100 U ml−1 streptomycin (Corning) and 20% (v/v) L-929 cell-conditioned medium. Femurs from Ldhafl/flf mice and Ldhafl/fl ; LysM- Cre+/− mice were generously provided by L. Becker (University of Chicago). Cells were incubated at 37°C in a 5% CO2 incubator.

HMDMs

Peripheral blood mononuclear cells were isolated from the buffy coats of anonymous healthy adult donors with informed consent (New York Blood Center) using Histopaque-1077 (Sigma). Isolated cells were rinsed and cultured for 7–14 days in RPMI-1640 medium with l-glutamine (10–040; Corning) supplemented with 10% (v/v) HI-FBS (Gibco), 10 U ml−1 penicillin and 100 U ml−1 streptomycin (Corning) and 10 ng ml−1 GM-CSF (PeproTech). The University Institutional Review Board and Health Insurance Portability and Accountability Act guidelines were followed.

Generation of ACs and incubation with macrophages

Jurkat cells were resuspended in PBS and irradiated with a 254-nm ultraviolet lamp for 15 min to induce apoptosis. To fluorescently label ACs, irradiated ACs were pelleted by centrifugation, resuspended in Diluent C (Sigma), mixed with Diluent C containing PKH26 (red) (Sigma) and incubated at 37 °C for 5 min. The labelling reaction was halted with an equal volume of HI-FBS. ACs were pelleted by centrifugation, resuspended in PBS and incubated at 37°C for 2–3h. The ACs were collected by centrifugation, resuspended in fresh PBS, added to macrophages at a 5 to 1 number ratio of ACs to macrophages and incubated for 45 min at 37 °C. The volume ratio of the ACs in PBS to culture medium was 1/10. The macrophage monolayers were then rinsed with PBS to remove unbound ACs and chased for 1, 3 or 24h in full medium with or without the addition of 50 μM FX11 (Sigma), 10 μM EX527 (Sigma), 10 μM Compound C (Sigma), 10 μM H89 (Sigma), 10 μM MG132 (Sigma), 10 mM lactic acid (Sigma), 500 μM NMN (Sigma), 10 μM telmisartan (MedChemExpress) or 20 μM ONC212 (MedChemExpress).

Lactate assay

Macrophages were seeded at 200,000 cells per well in 24-well plates in BMDM differentiation medium. The BMDMs, including those transfected with 50 nM scrambled siRNA or Slc16a1 siRNA for 72 h, were incubated with ACs, then chased for 1 or 3h in 200 μl of low-serum DMEM (DMEM supplemented with 1% (v/v) HI-FBS) ± 50 μM FX11. Media was collected and assayed using a lactate assay kit from Sigma-Aldrich (catalogue no. MAK064) according to the manufacturer’s instructions.

siRNA transfection

Macrophages were seeded at roughly 60% confluency in BMDM differentiation media. Scrambled siRNA or targeted siRNA (Dharmacon ON-TARGETplus SMARTpool siRNA) in Opti-MEM reduced-serum medium (Gibco) was transfected at a final concentration of 50 nM with Lipofectamine RNAiMAX (Life Technologies). After 18 h, the medium was changed to fresh BMDM differentiation medium and incubated for an additional 54h before use.

Cell counting

Macrophages were seeded at 100,000 per well in a 12-well plate in 10% HI-FBS DMEM. Macrophages that were treated with ACs were chased for 24 h with or without various inhibitors. For experiments with M-CSF, macrophages were treated with 50 ng ml−1 M-CSF (Peprotech) with or without the inhibitors for 24 h. The BMDMs were detached with 10mM EDTA in PBS on ice by gentle scraping, and HMDMs were detached with 0.25% trypsin-EDTA and repetitive, gentle pipetting. Collected cells were counted using a Countess II Automated Cell Counter (Invitrogen).

Immunoblotting

BMDMs were lysed in 2× Laemmli sample buffer (Bio-Rad) with 50 mM β-mercaptoethanol (Sigma) and lysates were boiled at 95–100 °C for 5 min. Lysates were loaded onto 4–20% SDS-PAGE gradient gels (Invitrogen) and run at 120 V for 90 min. Protein was transferred onto a 0.45-μm nitrocellulose membrane at 250 mA for 100min. Membranes were blocked for 1 h with 5% skim milk in Tris-buffered saline with Tween-20 (TBST). Membranes were then incubated overnight at 4 °C with primary antibody diluted in 5% skim milk in TBST. Membranes were washed three times for 5 min with TBST before incubation with HRP-conjugated secondary antibodies at room temperature for 1–2 h and washed three times for 5 min with TBST. The following antibodies were used: rabbit anti-SIRT1 (CST 9475; 1:1,000), rabbit anti-LDHA (ProteinTech 19987–1-AP; 1:1,000), rabbit anti-pAMPK (CST 2535; 1:1,000), rabbit anti-AMPK (CST 5831; 1:1,000), rabbit anti-pCREB (CST 9198; 1:1,000), rabbit anti-CREB (CST4820; 1:1,000), rabbit anti-acetyl-cMyc (Sigma ABE26; 1:1,000), rabbit anti-cMyc (CST 18583; 1:1,000), mouse anti-acetylated lysine (CST 9681; 1:1,000), anti-β-actin HRP-conjugate (CST 5125; 1:10,000), HRP-linked anti-mouse IgG (CST 7076; 1:2,500) and anti-rabbit IgG HRP-linked (CST 7074; 1:2,500). Blots were imaged with film and quantified by 1mageJ.

Immunoprecipitation

BMDMs were lysed in Pierce IP lysis buffer (ThermoFisher) supplemented with a protease and phosphatase inhibitor cocktail (ThermoFisher). Lysates were homogenized through a 25G needle five times and incubated on a rotator for 15 min at 4 °C. Lysates were then centrifuged at 16,000g for 10 min at 4 °C, and the supernates were transferred to a fresh tube. Next, 10 μl of Pierce protein A/G magnetic beads crosslinked to equal amounts of either control rabbit IgG (CST 3900; 1:250) or anti-cMyc (CST 18583; 1:100) were added to the supernates and incubated overnight at 4 °C with rotation. The beads were washed five times by centrifugation with lysis buffer, and then protein was eluted with 50 μl of 0.1% RapiGest SF surfactant (Waters, catalogue no. 186001861) in 200 mM Tris pH 8.0. Laemmli sample buffer (4×) was added to the eluted protein, and the solution was then boiled and used for immunoblot analysis.

Immunofluorescence staining and microscopy

BMDMs that were transfected with scrambled or Ldha siRNA were seeded on eight-well chamber slides at 60,000 cells per well before incubation with PKH26-labelled ACs and chased for 3 h. The cells were fixed for 10 min at room temperature in 4% paraformaldehyde. Fixed cells were rinsed with PBS and then permeabilized with 0.25% Triton X-100 for 10 min at room temperature, blocked with 2% BSA in PBS for 1 h at room temperature, and incubated with Myc primary antibody (CST 18583; 1:100) in blocking solution at 4 °C overnight. The cells were then rinsed with PBS and incubated with chicken anti-rabbit AF647 secondary antibody (Invitrogen, catalogue no. A-21443) for 1 h at room temperature in the dark. Cells were rinsed again with PBS and then stained with Hoechst-33342 (CST4082; 1:1,000) for 15 min at room temperature before mounting and imaging. For paraffin-embedded tissues, sections were deparaffinized with xylene, rehydrated with 100% ethanol and then 70% ethanol, and rinsed with PBS. Antigen retrieval was performed using 1x Citrate-Based Antigen Unmasking Solution (Vector) and pressure cooking for 10 min. TUNEL staining was conducted following antigen retrieval using the In Situ Cell Death Detection Kit (Sigma) according to the manufacturer’s instructions. The tissues were blocked with 2% BSA in PBS for 1 h at room temperature and incubated overnight at 4 °C with primary antibody in blocking solution. The following primary antibodies were used: rabbit anti-cMyc (CST 18583; 1:100), rabbit anti-LDHA (ProteinTech, catalogue no. 19987–1-AP; 1:100), rabbit anti-Ki67 (ab16667; 1:200) and rat anti-Mac2 (Cedarlane, catalogue no. CL8942LE; 1:500). Tissues were rinsed with PBS and incubated for 2 h at room temperature with fluorescently labelled secondary antibody diluted in blocking solution. The following secondary antibodies were used: goat anti-rabbit AF488 (Invitrogen catalogue no. A11034; 1:200), and goat anti-rat AF647 (Invitrogen, catalogue no. A21247; 1:200). All imaging was performed using a Leica epifluorescence microscope (catalogue no. DM16000B).

NAD+ to NAD H ratio assay

NAD+ to NADH ratio was quantified using an NAD/NADH colorimetric assay kit (Abcam). Briefly, W T BMDMs, Ldhafl/fl BMDMs, or Ldhafl/fl;LysMCre+/− BMDMs were seeded at 2,000,000 per well in six-well plates and incubated with unlabelled ACs, washed with PBS and chased for 1 h with or without 10 μM Compound C (Sigma) or 10 mM lactic acid (Sigma). The cells were collected with 400 μl of NADH/NAD extraction buffer from the kit, and the assay was conducted according to the manufacturer’s instructions. SoftMax Pro Software v.5.4.l was used to analyse the data for this assay.

SIRT1 activity assay

SIRT1 activity was measured using a SIRT1 activity assay kit (Abcam) according to the manufacturer’s instructions. Briefly, WT BMDMs were seeded at 4,000,000 per dish in 100 mm dishes and incubated with unlabelled ACs, washed with PBS and chased for 1 h with or without 50 μM FX11 (Sigma), 10 mM lactic acid (Sigma) or 10 μM Compound C (Sigma). Nuclear fractions were isolated and assessed for SIRT1 activity by measuring the fluorescence with an excitation wavelength of 350 nm and emission wavelength of450 nm. SoftMax Pro Software v.5.4.l was used to analyse the data for this assay.

Efferocytosis assay

Macrophages were incubated with PKH26-labelled ACs for 45 min and then rinsed with PBS to remove unbound ACs and fixed with 4% PFA for 10 min at room temperature. After rinsing again with PBS, the macrophages were subjected to brightfield and fluorescence imaging using a Leica DM16000B inverted epifluorescence microscope to identify macrophages that had taken up a fluorescent AC. AC uptake was quantified as the percentage of AC-positive macrophages out of the total number of macrophages per field of view.

RT–qPCR

RNA was isolated from macrophages using the PureLink RNA Mini kit (Life Technologies) according to the manufacturer’s protocol. The RNA quality and concentration was measured using a NanoDrop spectrophotometer (ThermoFisher). Complementary DNA synthesis was generated from RNA using oligo(dT) and Superscript II (Applied Biosystems). RT–qPCR (reverse transcription with quantitative PCR) was conducted using the 7500 Real-Time PCR system (Applied Biosystems) and the Power SYBR Green PCR Master Mix (Applied Biosystems). The primers are listed in Supplementary Table 1. Expression of genes of interest were normalized to the expression of the housekeeping gene Hprt.

Statistical analyses

GraphPad Prism software (v.9.4.0 and v.9.4.1) was used for all statistical analyses. Data were tested for normality using the Shapiro–Wilk test. Data that passed the normality test were analysed using the two-tailed Student’s t-test for comparison of two groups or one- or two-way analysis of variance (ANOVA) with Bonferroni post hoc analysis for comparison of more than two groups. Data that were not normally distributed were analysed using the Mann-Whitney test. Data are shown as mean values±s.e.m. and differences were considered statistically significant at P < 0.05. For normalization of data, all values were divided by the mean of the control group. No data were excluded. Data collection and analysis were not performed blind to the conditions of the experiments. The number of mice used for the dexamethasone-thymus assay was determined on the basis of power calculations, with an expected 15–25% coefficient of variation and an 80% chance of detecting a 33% difference in key parameters, including in situ efferocytosis and necrotic area. For the cell culture studies, no statistical methods were used to predetermine sample sizes, but our sample sizes are similar to those reported in previous publications9,10. For all experiments, n represents the number of independent replicates.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Extended Data

Extended Data Fig. 1 |. Related to Figs. 1 and 2: Controls for BMDM experiments.

Extended Data Fig. 1 |

a, BMDMs were incubated with or without ACs for 45 minutes before washing and chasing for 1 hour in low-serum DMEM±50 μM FX11. The media were assayed for lactate concentration (n = 3). b, BMDMs were transfected with scrambled (Scr) or Ldha siRNA for 72 hours and then assayed for Ldha mRNA by RT-qPCR (n = 3). c) BMDMs pre-treated with 50 μM FX11 for 1 hour were incubated for 45 minutes with PKH26-labelled ACs and quantified for % PKH26+ macrophages (n = 3). d, BMDMs were incubated with ACs for 45 minutes, chased for 3 hours ± 50 μM FX11 and ± 2/5/10 mM LA, and immunoblotted for Myc (n = 3). e, BMDMs were incubated with or without ACs for 45 minutes, chased for 3 hours ± 50 μM FX11 and ± 10 mM sodium lactate (NaLa), and immunoblotted for Myc (n = 3). f, BMDMs transfected with 50 nM scrambled or Myc siRNA for 72 hours were incubated with or without ACs for 45 minutes, chased for 3 hours, and immunoblotted for Myc (n = 3). g, BMDMs were treated ± 10 mM LA for 3 hours and immunoblotted for Myc (n = 3). h, BMDMs were treated for 24 hours ± 10mM LA before performing a cell count (n = 3). i, BMDMs were incubated with or without ACs for 45 minutes, chased for 3 hours ± 10 mM LA, and immunoblotted for Myc (n = 3). j, BMDMs were incubated with ACs for 45 minutes, chased for 3 hours ± 50 μM FX11 and ± 10 or 25 mM LA, and immunoblotted for Myc. Similar results were obtained in a repeat experiment. k, BMDMs were incubated with or without ACs for 45 minutes, chased for 3 hours ± 10 μM MG132, and immunoblotted for Myc (n = 3). Bars represent means ± s.e.m. Statistics were performed by two-tailed student’s t-test in panels b–c, h, or one-way ANOVA in panels a, d, e, i, and k. n.s. = non-significant (P > 0.05).

Extended Data Fig. 2 |. Related to Figs. 3 and 4: Controls for BMDM experiments.

Extended Data Fig. 2 |

a, BMDMs were transfected with 50 nM scrambled or Sirt1 siRNA for 72 hours, incubated with PKH26-labelled ACs for 45 minutes, and quantified for the percent PKH26+ macrophages (n = 3). b, BMDMs were incubated with or without ACs for 45 minutes, chased for 3 hours ± 10 μM EX527 and±10 mM LA, and immunoblotted for Myc (n = 3). c, BMDMs were treated with 50 ng/mL CSF-1 for 3, 6, 12, or 24 hours and immunoblotted for Myc. The image presented is one representative replicate (n = 3). d, BMDMs were treated with or without 50 ng/mL CSF-1 + 50 μM FX11 or 10 μM EX527, and immunoblotted for Myc (n = 3). e, BMDMs were treated for 24 hours with 50 ng/mL CSF-1 + 50 μM FX11 or 10 μM EX527, and quantified for cell number (n = 3). f, BMDMs were transfected with 50 nM scrambled or Myc siRNA for 72 hours, incubated ± ACs for 45 minutes or with CSF-1, and then assayed 24 hours later for cell number and Myc protein for CSF1-treated cells (n = 3). g, BMDMs pre-treated for 1 hour with 10 μM CompC were incubated with PKH26-labelled ACs and quantified for the percent PKH26+ (n = 3). h, BMDMs were chased for 1 hour + 10 μM CompC with or without 500 μM NMN and then assayed for NAD+to NADH ratio (n = 3). i, BMDMs were treated ± 500 μM NMN for 3 hours and then immunoblotted for Myc (n = 3). j, BMDMs transfected with scrambled or Sirt1 siRNA were chased for 3 hours ± 500 μM NMN and then immunoblotted for Myc (n = 3). Bars represent means ± s.e.m. Statistics were performed by two-tailed student’s t-test in panels a and g, or one-way ANOVA in panels b–f, h, and j. n.s. = non-significant (P > 0.05).

Extended Data Fig. 3 |. Related to Fig. 5: Controls for BMDM experiments.

Extended Data Fig. 3 |

a, BMDMs were transfected with 50 nM scrambled or Slc16a1 siRNA for 72 hours and then assayed for Slc16a1 mRNA by RT-qPCR (n = 3). b, BMDMs transfected with 50 nM scrambled or Slc16a1 siRNA for 72 hours were incubated with ACs for 45 minutes, chased for 3 hours in 1% FBS DMEM before collecting supernatants and cell lysates to measure intracellular and extracellular lactate concentrations (n = 3). c, BMDMs were transfected with 50 nM scrambled or Gpr132 siRNA for 72 hours and then assayed for Gpr132 mRNA by RT-qPCR (n = 3). d, BMDMs transfected with 50 nM scrambled or Gpr132 siRNA for 72 hours were incubated with or without ACs for 45 minutes, chased for 3 hours ± 50 μM FX11 and ± 10mM LA, and immunoblotted for Myc. The displayed immunoblot is a representative replicate (n = 3). e, BMDMs were incubated with or without ACs for 45 minutes, chased for 3 hours ± 50 μM FX11, and assayed for Gpr132mRNA (n = 3). Bars represent means ± s.e.m. Statistics were performed by two-tailed student’s t-test in panels a–c, one-way ANOVA in panel d, or two-way ANOVA in panel e. n.s. = non-significant (P>0.05).

Extended Data Fig. 4 |. Related to Fig. 6: Controls and blood counts for the dexamethasone-thymus experiment.

Extended Data Fig. 4 |

A–f, Counts of blood WBCs, neutrophils, lymphocytes, monocytes, eosinophils, and basophils (n = 5). g, Plasma was measured for lactate concentration (n = 5). h, Mac2+ cells in immunostained thymus sections were counted per field of view (FOV) using images taken with a 20x objective (n = 8,6). Bars represent means ± s.e.m. Statistics were performed by two-tailed student’s t-test in panels a-e and g-h, and Mann–Whitney test for panel f. n.s. = non-significant (P > 0.05).

Supplementary Material

Supplementary Material for Ngai et al.

Acknowledgements

This work was supported by an American Heart Association Postdoctoral Fellowship (grant no. 900337 to M.S.); the Niels Stensen Fellowship (to M.S.) and NIH/NHLBI grant nos. R35-HL145228 and P01-HL087123 (to I.T.). We thank L. Becker (University of Chicago) for providing Ldhafl/fl and Ldhafl/fl; LysMCre+/− mouse femurs for BMDM differentiation to use in our in vitro studies. We thank X. Wang (Columbia University) for assisting with intravenous injections for BMT. We acknowledge C. Lu of the Columbia Center for Translational Immunology Core Facility for assisting in the immunofluorescent imaging experiments that were conducted in the Columbia Center for Translational Immunology Core Facility, funded by NIH grant nos. P30CA013696, S10RR027050 and S10OD020056.

Footnotes

Competing interests

The authors declare no competing interests.

Extended data is available for this paper at https://doi.org/10.1038/s42255-023-00921-9.

Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s42255-023-00921-9.

Data availability

All data supporting the present study are available within the paper and supplementary information files. Source data are provided with this paper.

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Supplementary Materials

Supplementary Material for Ngai et al.

Data Availability Statement

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