D mTOR regulates metabolic adaptation of APCs in the lung ......of APCs in the lung and controls the...

9
RESEARCH ARTICLE INFLAMMATION mTOR regulates metabolic adaptation of APCs in the lung and controls the outcome of allergic inflammation Charles Sinclair, 1 *Gayathri Bommakanti, 1 * Luiz Gardinassi, 2 Jens Loebbermann, 1 Matthew Joseph Johnson, 1,3 Paul Hakimpour, 1 Thomas Hagan, 1 Lydia Benitez, 1 Andrei Todor, 2 Deepa Machiah, 4 Timothy Oriss, 5 Anuradha Ray, 5 Steven Bosinger, 6 Rajesh Ravindran, 1 Shuzhao Li, 2 Bali Pulendran 1,7,8 § Antigen-presenting cells (APCs) occupy diverse anatomical tissues, but their tissue- restricted homeostasis remains poorly understood. Here, working with mouse models of inflammation, we found that mechanistic target of rapamycin (mTOR)dependent metabolic adaptation was required at discrete locations. mTOR was dispensable for dendritic cell (DC) homeostasis in secondary lymphoid tissues but necessary to regulate cellular metabolism and accumulation of CD103 + DCs and alveolar macrophages in lung. Moreover, while numbers of mTOR-deficient lung CD11b + DCs were not changed, they were metabolically reprogrammed to skew allergic inflammation from eosinophilic T helper cell 2 (T H 2) to neutrophilic T H 17 polarity. The mechanism for this change was independent of translational control but dependent on inflammatory DCs, which produced interleukin-23 and increased fatty acid oxidation. mTOR therefore mediates metabolic adaptation of APCs in distinct tissues, influencing the immunological character of allergic inflammation. A fundamental property of the immune sys- tem is its ability to sense pathogens through pattern recognition receptors. Emerging evidence demonstrates that immune cells also sense environmental perturbations that induce cellular stress and metabolic changes (1, 2). However, the mechanisms underlying such environmental sensing are poorly understood. The amino acid sensor GCN2 plays a role in programming dendritic cells (DCs) to respond to viral vaccination (3, 4) and controls intestinal inflammation by suppressing inflammasome ac- tivation in the gut (5). In addition to GCN2, the mechanistic target of rapamycin (mTOR), a cen- tral orchestrator of cellular metabolism, regu- lates DC function (6). mTOR functions in two supramolecular com- plexes termed mTORC1 and mTORC2, engaged to differing degrees by diverse stimuli, including Toll-like receptor signaling, growth factors, and nutrient availability. mTOR signaling affects di- verse downstream cellular processes, including cell cycle progression, cell growth, differentia- tion, survival, and metabolism (7). Although mTOR is required for effector T cell expansion (8) and germinal center B cell responses (9), it restrains T memory generation (10). Within DCs, mTOR promotes type I interferon production by plasmacytoid DCs (11, 12) but limits proinflam- matory cytokine production by classical DCs (13). Moreover, mTOR promotes steady-state DC ac- cumulation downstream of homeostatic cytokine signaling (1416). The precise functions of mTOR have been proposed to be DC subset dependent (17), but the consequence of mTOR signaling in DCs and the effect on immune responses in vivo are poorly understood. Results mTOR promotes lung APC homeostasis in vivo We bred mice bearing floxed Mtor with a CD11c- Cre deleter strain (mTOR DAPC ), resulting in spe- cific genetic ablation, reduced protein abundance, and loss of mTOR pathway activity in CD11c + cells (fig. S1, A to D). mTOR inhibition augments DC proinflammatory cytokine production (13, 17), which we observed in mTOR DAPC bone marrow (BM)derived DCs and primary splenic DCs (fig. S1E), confirming functional deletion of mTOR. DCs can be subdivided into CD8a + /CD103 + and CD11b + subsets. Globally, DCs require Flt3L and granulocyte macrophage colonystimulating factor (GM-CSF) signals for homeostatic main- tenance (18, 19), both of which activate mTOR (14). In addition, antigen-presenting cells (APCs) occupy distinct microenvironments where mTOR may exhibit site-specific functions (15, 20). mTOR DAPC ablation did not exert global effects on APCs but instead revealed defects in APC accumulation at specific anatomical sites. There was negligible requirement for cell-intrinsic mTOR in most tissues examined; however, splenic CD11b + DCs were modestly reduced and there was a skewed ratio of CD103 + to CD11b + DCs in thymus (fig. S2). We also confirmed a substan- tial reduction in Langerhans cell frequency (15) (fig. S3). However, the most striking effect of mTOR DAPC deletion was observed in the lung. Here, CD103 + DC and CD11c + alveolar macro- phage (AM) populations were significantly re- duced (Fig. 1A). Mixed BM chimeras showed that homeostatic defects were cell intrinsic and additionally revealed a minor impairment in CD11b + lung DC accumulation (Fig. 1B). mTOR may simply regulate numerical accu- mulation of APCs or, alternatively, may be central to controlling lung APC programming. Transcrip- tomes derived from mTOR DAPC lung APCs ver- sus wild-type (WT) controls clustered distinctly by principal components analysis (PCA), whereas mTOR DAPC splenic populations clustered closely with their WT counterparts (fig. S4). Previous studies have identified core sets of lineage-specifying genes, enriched in either CD11b + lung APCs or AMs, relative to other APC subsets (21, 22). mTOR DAPC AMs exhibited a broad loss of AM molecular identity (fig. S5A). Rather than disrupt- ing the CD11b + APC cellular identity, mTOR ab- lation skewed the balance of CD11c + CD11b + lung APCs toward a macrophage/monocytic composi- tion (fig. S5B) (22), typified by reduced heat-stable antigen (HSA), Flt3, and a trend of lower Irf4 expression, with elevated MerTK and CD64 tran- scription (Fig. 1C). Using an alternative gating scheme (22), we found that CD11c + MHC-II + Sirpa + HSA + DCs were reduced in mTOR DAPC mice (Fig. 1D) due to cell-intrinsic defects in accumulation (Fig. 1E). Thus, mTOR plays a central, cell-intrinsic role in APC homeostatic accumulation and subset composition in the lung. Steady-state DC homeostasis depends on cell development, proliferation, migration, and death rates. Ablation or inhibition of mTOR increased death rates of lung APCs (Fig. 2A and fig. S6, A and B), whereas precursor frequency, prolifera- tion rates, and migration were unaffected (fig. S6, C to G). There was no evidence that GM-CSF, M-CSF, or Flt3L expression was perturbed in mTOR DAPC mice, excluding a role for other cell-extrinsic ho- meostatic factors (fig. S6H). mTOR associates with RESEARCH Sinclair et al., Science 357, 10141021 (2017) 8 September 2017 1 of 8 1 Emory Vaccine Center, Emory University, 954 Gatewood Road NE, Atlanta, GA 30329, USA. 2 Department of Medicine, Emory University, Atlanta, GA 30329, USA. 3 Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA. 4 Yerkes Molecular Pathology Core Laboratory, Yerkes National Primate Research Center, 954 Gatewood Road NE, Atlanta, GA 30329, USA. 5 Division of Pulmonary, Allergy and Critical Care Medicine, Department of Immunology, University of Pittsburgh Asthma Institute at University of Pittsburgh Medical Center (UPMC), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. 6 Primate Genomics Core, Yerkes National Primate Research Center, 954 Gatewood Road NE, Atlanta, GA 30329, USA. 7 Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA. 8 Institute for Immunity, Transplantation and Infection, Department of Pathology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. *These authors contributed equally to this work. Present address: AstraZeneca, Cancer Research UK (CRUK) Cambridge Institute, Li Ka Shing Center, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK. Present address: Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, CA 92121, USA. §Corresponding author. Email: [email protected]; [email protected] on July 5, 2021 http://science.sciencemag.org/ Downloaded from

Transcript of D mTOR regulates metabolic adaptation of APCs in the lung ......of APCs in the lung and controls the...

  • RESEARCH ARTICLE◥

    INFLAMMATION

    mTOR regulates metabolic adaptationof APCs in the lung and controls theoutcome of allergic inflammationCharles Sinclair,1*† Gayathri Bommakanti,1* Luiz Gardinassi,2 Jens Loebbermann,1

    Matthew Joseph Johnson,1,3 Paul Hakimpour,1 Thomas Hagan,1

    Lydia Benitez,1 Andrei Todor,2 Deepa Machiah,4 Timothy Oriss,5 Anuradha Ray,5

    Steven Bosinger,6 Rajesh Ravindran,1‡ Shuzhao Li,2 Bali Pulendran1,7,8§

    Antigen-presenting cells (APCs) occupy diverse anatomical tissues, but their tissue-restricted homeostasis remains poorly understood. Here, working with mouse models ofinflammation, we found that mechanistic target of rapamycin (mTOR)–dependentmetabolic adaptation was required at discrete locations. mTOR was dispensable fordendritic cell (DC) homeostasis in secondary lymphoid tissues but necessary to regulatecellular metabolism and accumulation of CD103+ DCs and alveolar macrophages in lung.Moreover, while numbers of mTOR-deficient lung CD11b+ DCs were not changed, they weremetabolically reprogrammed to skew allergic inflammation from eosinophilic T helpercell 2 (TH2) to neutrophilic TH17 polarity. The mechanism for this change wasindependent of translational control but dependent on inflammatory DCs, whichproduced interleukin-23 and increased fatty acid oxidation. mTOR therefore mediatesmetabolic adaptation of APCs in distinct tissues, influencing the immunologicalcharacter of allergic inflammation.

    Afundamental property of the immune sys-tem is its ability to sense pathogens throughpattern recognition receptors. Emergingevidence demonstrates that immune cellsalso sense environmental perturbations that

    induce cellular stress and metabolic changes(1, 2). However, the mechanisms underlying suchenvironmental sensing are poorly understood.The amino acid sensor GCN2 plays a role inprogramming dendritic cells (DCs) to respondto viral vaccination (3, 4) and controls intestinal

    inflammation by suppressing inflammasome ac-tivation in the gut (5). In addition to GCN2, themechanistic target of rapamycin (mTOR), a cen-tral orchestrator of cellular metabolism, regu-lates DC function (6).mTOR functions in two supramolecular com-

    plexes termed mTORC1 and mTORC2, engagedto differing degrees by diverse stimuli, includingToll-like receptor signaling, growth factors, andnutrient availability. mTOR signaling affects di-verse downstream cellular processes, includingcell cycle progression, cell growth, differentia-tion, survival, and metabolism (7). AlthoughmTOR is required for effector T cell expansion(8) and germinal center B cell responses (9), itrestrains T memory generation (10). Within DCs,mTOR promotes type I interferon production byplasmacytoid DCs (11, 12) but limits proinflam-matory cytokine production by classical DCs (13).Moreover, mTOR promotes steady-state DC ac-cumulation downstream of homeostatic cytokinesignaling (14–16). The precise functions of mTORhave been proposed to be DC subset dependent(17), but the consequence of mTOR signaling inDCs and the effect on immune responses in vivoare poorly understood.

    ResultsmTOR promotes lung APC homeostasisin vivo

    We bred mice bearing floxedMtor with a CD11c-Cre deleter strain (mTORDAPC), resulting in spe-cific genetic ablation, reduced protein abundance,

    and loss ofmTOR pathway activity in CD11c+ cells(fig. S1, A to D). mTOR inhibition augments DCproinflammatory cytokine production (13, 17),which we observed in mTORDAPC bone marrow(BM)–derived DCs and primary splenic DCs (fig.S1E), confirming functional deletion of mTOR.DCs can be subdivided into CD8a+/CD103+

    and CD11b+ subsets. Globally, DCs require Flt3Land granulocyte macrophage colony–stimulatingfactor (GM-CSF) signals for homeostatic main-tenance (18, 19), both of which activate mTOR(14). In addition, antigen-presenting cells (APCs)occupy distinct microenvironments wheremTORmay exhibit site-specific functions (15, 20).mTORDAPC ablation did not exert global effectson APCs but instead revealed defects in APCaccumulation at specific anatomical sites. Therewas negligible requirement for cell-intrinsicmTOR in most tissues examined; however, splenicCD11b+ DCs were modestly reduced and therewas a skewed ratio of CD103+ to CD11b+ DCs inthymus (fig. S2). We also confirmed a substan-tial reduction in Langerhans cell frequency (15)(fig. S3). However, the most striking effect ofmTORDAPC deletion was observed in the lung.Here, CD103+ DC and CD11c+ alveolar macro-phage (AM) populations were significantly re-duced (Fig. 1A). Mixed BM chimeras showedthat homeostatic defects were cell intrinsic andadditionally revealed a minor impairment inCD11b+ lung DC accumulation (Fig. 1B).mTOR may simply regulate numerical accu-

    mulation of APCs or, alternatively, may be centralto controlling lung APC programming. Transcrip-tomes derived from mTORDAPC lung APCs ver-sus wild-type (WT) controls clustered distinctlyby principal components analysis (PCA), whereasmTORDAPC splenic populations clustered closelywith theirWTcounterparts (fig. S4). Previous studieshave identified core sets of lineage-specifyinggenes, enriched in either CD11b+ lung APCs orAMs, relative to other APC subsets (21, 22).mTORDAPC AMs exhibited a broad loss of AMmolecular identity (fig. S5A). Rather than disrupt-ing the CD11b+ APC cellular identity, mTOR ab-lation skewed the balance of CD11c+CD11b+ lungAPCs toward a macrophage/monocytic composi-tion (fig. S5B) (22), typified by reduced heat-stableantigen (HSA), Flt3, and a trend of lower Irf4expression, with elevatedMerTK and CD64 tran-scription (Fig. 1C). Using an alternative gatingscheme (22), we found that CD11c+MHC-II+Sirpa+

    HSA+ DCs were reduced in mTORDAPC mice (Fig.1D) due to cell-intrinsic defects in accumulation(Fig. 1E). Thus,mTORplays a central, cell-intrinsicrole in APC homeostatic accumulation and subsetcomposition in the lung.Steady-state DC homeostasis depends on cell

    development, proliferation,migration, and deathrates. Ablation or inhibition of mTOR increaseddeath rates of lung APCs (Fig. 2A and fig. S6, Aand B), whereas precursor frequency, prolifera-tion rates, andmigrationwere unaffected (fig. S6, Cto G). There was no evidence that GM-CSF,M-CSF,or Flt3L expression was perturbed in mTORDAPC

    mice, excluding a role for other cell-extrinsic ho-meostatic factors (fig. S6H). mTOR associates with

    RESEARCH

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 1 of 8

    1Emory Vaccine Center, Emory University, 954 GatewoodRoad NE, Atlanta, GA 30329, USA. 2Department of Medicine,Emory University, Atlanta, GA 30329, USA. 3Department ofPediatrics, University of Minnesota, Minneapolis, MN 55455,USA. 4Yerkes Molecular Pathology Core Laboratory, YerkesNational Primate Research Center, 954 Gatewood Road NE,Atlanta, GA 30329, USA. 5Division of Pulmonary, Allergy andCritical Care Medicine, Department of Immunology,University of Pittsburgh Asthma Institute at University ofPittsburgh Medical Center (UPMC), University of PittsburghSchool of Medicine, Pittsburgh, PA, USA. 6Primate GenomicsCore, Yerkes National Primate Research Center, 954Gatewood Road NE, Atlanta, GA 30329, USA. 7Department ofPathology and Laboratory Medicine, Emory University,Atlanta, GA, USA. 8Institute for Immunity, Transplantationand Infection, Department of Pathology, Department ofMicrobiology and Immunology, Stanford University, Stanford,CA 94305, USA.*These authors contributed equally to this work. †Present address:AstraZeneca, Cancer Research UK (CRUK) Cambridge Institute, Li KaShing Center, University of Cambridge, Robinson Way, CambridgeCB2 0RE, UK. ‡Present address: Genomics Institute of the NovartisResearch Foundation, 10675 John Jay Hopkins Drive, San Diego, CA92121, USA. §Corresponding author. Email: [email protected];[email protected]

    on July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/

  • two molecular complexes (mTORC1/2). Whereasmice lacking the critical mTORC1 protein Raptorphenocopiedhomeostatic defects seen inmTORDAPC

    lung, APCs were unaffected in mTORC2-deficientRictorDAPC mice (fig. S7A). mTORC1 signaling tar-gets the translational regulator S6K1/2 and deac-tivates the translational repressor 4E-BP1/2 (fig.S7, B and C) (7). Curiously, S6k1−/−S6k2−/− miceexhibited normal lung APC homeostasis, and ge-netic deletion of 4ebp1/2 did not rescue the sur-vival of mTORDAPC DCs (fig. S7, D and E). Thus,mTORC1 controls APC cell survival through atranslation-independent mechanism.

    APCs in the lung display a distinctivemTOR-dependent metabolic signature

    The pronounced phenotype of APCs in mTORDAPC

    lung relative to other tissues was striking, partic-ularly considering that development of CD103+

    DCs in both lung and other tissues is regulatedby the common transcription factor Batf3 (23).We hypothesized that the lung microenviron-mentmay imprint a distinctivemetabolic pheno-typewith heightened sensitivity tomTORablation.To investigate this, comprehensivemetabolic pro-filing was performed on lung and splenic APCsfrom WT mice. Lung and spleen APCs weremetabolically distinct (Fig. 2B), exhibiting dif-

    ferences in amino acid and nucleic acid meta-bolic intermediates (fig. S8, A and B), which werealso reflected within observed transcriptionalsignatures (fig. S8, C and D). We next examinedmTORDAPCmetabolomes, and the degree ofmeta-bolic perturbation inmTOR-deficientAPC subsetscorrelated with the extent of their homeostaticdisruption (Fig. 2C). Despite the skewing in thephenotypic composition of the lung CD11b+ DCs(Fig. 1D), there was a minor perturbation in themetabolome (Fig. 2C). Pathway analysis of dif-ferentially abundant metabolites revealed thatseveral amino acid metabolic pathways weredisrupted in mTORDAPC APCs (Fig. 2, D and E).mTORDAPC AMs also exhibited alterations inlipid metabolite expression and correspondingchanges in expression of the sterol regulatorybinding protein (Srebp1/2) target genes (24)(fig. S9). Srebp1 orchestrates lipid anabolismand is a downstream target of mTOR, whichdirectly links mTOR deficiency and metabolicperturbations in lung APCs (25, 26). To test thisexperimentally, we administered the Srebp1/2inhibitor fatostatin, which substantially decreasedAM frequency, a phenotype that was recapitu-lated by rapamycin treatment (fig. S10A). How-ever, CD103+ DCs remained unaltered by eitherinhibitor, suggesting that inhibitor administration

    was insufficient to entirely phenocopy mTORDAPC

    mice, or that the Srebppathways are not critical forCD103DC survival. Finally,we investigated the roleof another mTOR target, the glycolytic regulatorHif1a, observing that lung APC homeostasis wasindependent of Hif1a (fig. S10B). Thus, lung APCshave distinct mTOR-dependent metabolic sig-natures, and there appears to be a direct linkbetweenmTORand Srebp-dependent lipidmetab-olism in AMs.

    Ablation of mTOR in APCs reprogramsallergic inflammation in the lung

    Wenext investigatedwhether lung immunity wasfunctionally affected in mTORDAPC mice. Micewere intranasally challenged with house dust mite(HDM) allergen, which is an established murinemodel for asthma (27, 28) (Fig. 3A). Despite re-duced frequencies of select lung APC subsets,humoral responses in mTORDAPC mice were un-expectedly increased (Fig. 3B and fig. S11A). Sur-prisingly, we observed a striking reduction in Thelper cell 2 (TH2) cells producing interleukin-4

    +

    (IL-4+) and IL-5+/IL-13+ and enhanced frequen-cies of TH17 cells in the lung and bronchoalveolarlavage (BAL) (Fig. 3C and fig. S11B).TH2-polarized allergy is typified by robust

    recruitment of eosinophils, whereas IL-17 can

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 2 of 8

    Fig. 1. Critical require-ment for mTOR signalingto maintain lung innateimmune homeostasis.Lungs from naïve WT(black) and mTORDAPC (red)mice were analyzed by flowcytometry. (A) Bar chartsshow mean frequencies ±SEM of indicated lung APCpopulations; contour plotsshow representative flowcytometric data. Red arrowsindicate gating hierarchies.(B) Mixed chimeras wereestablished by reconstitutingB6 CD45.1+/CD45.2+ hostswith donor mTORDAPC

    (CD45.2) and B6 CD45.1 BMat a ~3:1 ratio. Bar chartshows the percentage con-tribution to chimerism ofmTORDAPC-derived donorcells after exclusion ofresidual host cells. Gray barsindicate control (CD11c–

    populations); red bars indi-cate CD11c+ APCs. (C) Barcharts show normalized readcount for indicated genes inWT (black) and mTORDAPC

    (red) within the CD11c+CD11b+

    lung DC population.(D) Contour plot showsexpression of Sirpa and HSA.Pie chart shows average fre-quencies of indicated populations from one representative experiment (n = 4). (E) Bar chart shows the chimeric contribution of mTORDAPC-derived donor cells.Gray bars denote control CD11c– populations; red bars indicate CD11c+ APCs. Data represent three or more independent experiments.

    0

    500

    1000

    1500

    2000

    0

    200

    400

    600

    800

    0

    500

    1000

    1500

    2000

    0

    1000

    2000

    3000

    4000

    0

    500

    1000

    1500

    B-ce

    lls

    CD11

    c-CD1

    1b+

    CD11

    b+ D

    C

    CD10

    3+ D

    C AM0

    20

    40

    60

    80

    100

    CD

    11c

    MHC-IIC

    D11

    c

    Siglec-F

    CD45+

    (AM excluded)

    CD11chi

    MHC-II+

    CD45+

    WT mTOR APC

    % C

    him

    eris

    m

    Lung

    CD

    103

    CD11b

    9.1 1.8

    98.090.8

    1.0 1.1

    31.4 9.1

    63.7 81.2

    WTmTOR APC

    Alveolarmacrophage

    0

    5

    10

    15

    % o

    f CD

    45

    +

    0.0

    0.1

    0.2

    0.3

    0.4

    CD103 + DC0.0

    0.5

    1.0

    1.5

    2.0

    CD11b + DC

    *******

    ****

    ********

    Sirp

    HSA

    WT mTOR APC

    24.5 5.7

    38.5 27.131.2 62.1

    Sirp +HSA-

    Sirp +HSA+

    Sirp -HSA+

    B-ce

    lls

    HSA-

    Sirp

    a+

    HSA+

    Sirp

    a+

    HSA+

    Sirp

    a-0

    20

    40

    60

    80

    100

    ****

    ***

    n.s.

    % C

    him

    eris

    m

    **

    MerTK CD64HSA Flt3 Irf4

    Nor

    mal

    ized

    re

    ads

    *

    n.s.**p=0.5

    RESEARCH | RESEARCH ARTICLEon July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/

  • enhance neutrophils. Neutrophilia occurs in ~50%of human asthma cases, correlating with steroidresistance and worsening prognosis (29, 30). Re-markably, we observed pronounced neutrophiliain mTORDAPC lung and BAL (Fig. 3D). SkewedTH2 to TH17 modality was further observed inan alternative papain-induced model (fig. S12),whereas an anatomically discrete TH17-dependentexperimental autoimmune encephalomyelitismodel was not significantly affected by mTORdeficiency in APCs (fig. S13). TH17 allergic pheno-types were driven by mTORC1 ablation (fig. S14A)but were independent of Hif1a (fig. S14B) orSrebp1/2 (fig. S14C). mTORC1 thus regulatesinnate programming of T helper responses in

    lung, controlling the balance between eosino-philic and neutrophilic mediators of allergicinflammation.

    mTOR-deficient CD103+ DCs and AMsare dispensable for neutrophilic allergy

    We next determined the APC subset responsi-ble for promoting TH17/neutrophilic allergy inmTORDAPC mice. CD103+ DCs have importantantiviral functions due to a superior ability tocross-present antigens (31). Consistent with this,mTORDAPC mice exhibited impaired CD8+ T cellresponses to live-attenuated influenza vaccinechallenge (Fig. 4A). If CD103+ DCs restrain TH17/neutrophilic allergy, then we should observe a

    similar phenotype inBatf3−/−mice, which lack atranscription factor required for CD103+ DC de-velopment (Fig. 4B). However, Batf3−/−mice didnot exhibit differential severity or modality ofinflammation (Fig. 4, C to E), suggesting thatimpaired development of CD103+ DCwas not nec-essary to promote neutrophilic inflammation.AMs reside in the lung alveolar lumen and

    play a primary role in phagocytizing particulatesand turning over lung surfactant. Defects in AMresult in accumulated lung surfactant protein,termed pulmonary alveolar proteinosis (PAP)(32). Histological analysis of naïve mTORDAPC

    lung showed airspace filling by eosinophilicmaterial (Fig. 5A), elevated mucus (Fig. 5B),

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 3 of 8

    PC1

    –300200

    1000

    100200

    300400

    500600

    PC2

    400300

    200100

    0100

    200300

    PC3

    200

    100

    0

    100

    200

    300

    400

    *+,-."1##8 2 34566,."1##8 2

    CD11b + - 77 metabolites

    CD103 + - 1026 metabolites

    Xenobiotics metabolism

    Vitamin E metabolismUrea cycle / amino group metabolism

    Tyrosine metabolism Tryptophan metabolism

    Linoleate metabolismLeukotriene metabolism

    Glyoxylate and Dicarboxylate metabolismGly, Ser, Ala, Thr metabolism

    Butanoate metabolism

    Bile acid biosynthesisAspartate and asparagine biosynthesis

    TCA cycle

    WT

    mTO

    RAP

    CW

    T

    mTO

    RAP

    CW

    T

    mTO

    RAP

    C

    WT vs KOCD11b

    WT vs KOCD103

    WT vs KOAM

    Lung CD11b+

    Lung CD103+

    Lung AMSpleen CD8a+

    Spleen CD11b+

    2 3 4 2 3 4 2 3 4

    -Log10 p

    WTmTOR APC5.7 3.5

    3.7

    21.3

    37.1

    31.5

    43.5

    13.6

    35.13.1

    LungCD8+ T-cell

    ex vivo

    Splenic CD8 +

    Splenic CD11b+

    LungCD11b+

    LungCD103+

    LungAM

    4.0

    9.3

    L/D Aqua

    -1.5 1.50

    Row Z-score

    AM - 178 metabolites

    Fig. 2. mTOR regulates lung APC survival via a metabolic mechanism.Lung from WT (black) or mTORDAPC (red) mice was examined by flowcytometry and by cellular metabolomic profiling. (A) Histograms showrepresentative staining of Live/Dead Aqua on indicated ex vivo populationsfrom WT (gray) and mTORDAPC (red) lung. (B) PCA plot shows distinctclustering of lung and splenic APC metabolomes from WTmice. (C) Heatmaps show differentially abundant metabolite features between WTandmTORDAPC subsets.The metabolite numbers include redundant mass spectral

    peaks. (D) Dot graph showsmetabolic pathways distinctly perturbed bymTORdeficiency, with amino acid metabolism pathways highlighted in red. Dotsize relates to the number of differentially expressed metabolites. (E) Networkanalysis reveals a higher representation of tentative amino acid metaboliteswithin the mTORDAPC CD103+ DC subset. Each link is from a known metabolicreaction.The network and tentative metabolite annotation was produced bythe Mummichog software. Data represent three or more independentexperiments or two to three biological replicates.

    RESEARCH | RESEARCH ARTICLEon July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/

  • accumulation of lung surfactant protein (Fig.5C), and increased debris and “foamy” macro-phages in BAL (Fig. 5D). Increasedproteinaceousmatter was also evident in lung preparations byflow cytometry (Fig. 5E). These data representhallmark features of PAP disease (33), represent-ing a first link between mTOR signaling andPAP. We next determined whether functionalloss of AMs also contributes to neutrophilic lunginflammation. Using a previously described pro-tocol (34), we observed ~75% depletion of AMs3 days after a single intratracheal (i.t.) dose ofclodronate liposomes but not control liposomes(Fig. 5F). After HDM challenge, humoral immu-nity was enhanced when AMs were depleted, inconcordance with the phenotype observed inmTORDAPC mice (Fig. 5G). However, TH17 po-

    larization and neutrophilia were not present un-der these conditions (Fig. 5, H and I), consistentwith observations that AMs cannot present anti-gen (28). Thus, absence of AM likely contributesto an enhancedmagnitude of humoral immunityin mTORDAPC mice but cannot account for TH17/neutrophilic allergy.

    mTOR deficiency reprogramsinflammatory CD11b+ DCs to promoteneutrophilic allergy

    CD11b+ DCs directly promote TH2 allergy afterHDM insult (28, 35) but can also prime TH17immunity when activated by alternative stimuli(22, 36). To address whether mTORDAPC CD11b+

    DCs promoted neutrophilic allergy in a domi-nant manner, we first generated mixed chime-

    ras where donor WT andmTORDAPC bone marrowwas injected at a 1:10 ratio to allow repopula-tion of CD103+ DC and AM populations by WTcells, whereas ~80% of CD11c+CD11b+ DCs re-mained mTOR-deficient (fig. S15, A and B). HDMpromoted elevated humoral responses and pro-nounced neutrophilia in chimeras (fig. S15, Cand D). Moreover, primed CD11b+ DCs frommTORDAPCmice directly promoted TH17/neutrophilicallergy in WT recipients (fig. S16). Thus, neutro-philic inflammation was dominantly conferredby mTORDAPC CD11b+ DCs.It was recently shown that mice deficient in

    Kruppel-like factor 4 (Klf4) have reduced fre-quencies of the Sirpa+HSA+ subset in lung CD11b+

    DCs and display impaired TH2 responses to HDM(37).We thus investigated howmTORDAPC CD11b+

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 4 of 8

    d0, 2, 4 d7, 9, 11 d14, 15, 16

    Bleed:d16

    Analysis:d17

    1

    10

    100

    1000

    10000

    100000

    1

    10

    100

    WTN

    aive

    mTOR

    APC N

    aive

    WT

    mTOR

    APC

    HDM-specific Ig G1

    A.U

    .

    ng/m

    L

    Total IgE

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0.0

    0.5

    1.0

    1.5

    MedLN

    IL-1

    7A+

    %of

    CD

    4

    0

    1

    2

    3

    Lung

    0

    5

    10

    15

    20

    0

    5

    10

    15

    20

    0

    10

    20

    30

    IL-4

    +%

    of C

    D4

    IL-1

    7A+

    %of

    CD

    4IL

    -4+

    %of

    CD

    4

    IL-1

    7+

    %of

    CD

    4IL

    -4+

    %of

    CD

    4

    CD

    44

    IL-4

    4.9

    WT mTOR APC

    0.9

    CD

    44

    IL-17A

    3.5 19.1

    BAL

    CD

    44

    IL-4

    WT mTOR APC

    CD

    44

    IL-17A

    26.1 5.4

    7.1 33.7

    WT

    WTmTOR APC

    mTOR APC

    WTN

    aive

    mTOR

    APC N

    aive

    WT

    mTOR

    APC

    0

    20

    40

    60

    80

    0

    10

    20

    30

    Sig

    lec-

    F

    Ly-6G

    73.1

    WT mTOR APC41.6

    Lung

    BAL

    0

    20

    40

    60

    80

    100

    Eos

    inop

    hils

    % o

    f CD

    11b+

    Eos

    inop

    hils

    % o

    f CD

    11b+

    Neu

    trop

    hils

    % o

    f CD

    11b+

    Neu

    trop

    hils

    % o

    f CD

    11b+

    0

    5

    10

    15

    20

    25

    Sig

    lec-

    F

    Ly-6G

    8.5 27.2

    97.1

    1.1

    59.2

    35.9

    **** *

    *

    ****

    *

    ****

    ***

    ****

    *****

    **** *

    25 µg House dust mite extract. i.n.

    Fig. 3. mTOR ablation in APCs results in neutrophilic lung inflamma-tion. House dust mite (HDM) extract was administered to WT (black)or mTORDAPC (red) mice. (A) Diagram shows the allergen administration andanalysis schedule. i.n., intranasal. (B) Scatter plots show serum antibodytiters in indicated mouse strains. (C) Bar charts show the frequency of

    CD4+IL-4+ TH2 cells or CD4+IL-17A+ TH17 cells in indicated organs. Contour

    plots show representative flow cytometric data. (D) Bar charts show thefrequency of CD11b+Siglec-F+ eosinophils or CD11b+Ly-6G+ neutrophils.Pseudocolor plots show representative flow cytometric data. Data representthree or more independent experiments.

    RESEARCH | RESEARCH ARTICLEon July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/

  • lung DCs differentially responded to allergy.HDMwas instilled i.t., andmice were examinedafter 3 days. mTORDAPC CD11b+ migratory DCsaccumulated with enhanced frequency in medias-tinal lymph node (MedLN) (fig. S17A), and cellularinflammationwas enhanced in the lung (fig. S17B).During allergic airway inflammation, a distinctCD11b+ Csf-1–dependent inflammatory DC popu-lation develops from monocytes (28, 38). Inflam-

    matory DCs could be identified in allergic lungbased on their surface CD11c+MHC-II+CD11b+

    phenotype and Csf1 dependence (fig. S18, A andB) (28) andwere elevated inmTORDAPCmice (Fig.6A). Lung inflammatory DCs were confirmed tobe distinct from lung-resident interstitial macro-phages, AMs, and classical DCs. They exhibitedlower expression of F4/80, higher expression ofMHC-II and CD11c compared to interstitial mac-

    rophages (fig. S18C), lower Siglec-F expression thanAMs (fig. S18D), and high expression of CD64 andLy6C relative to resident CD11b+ DCs (fig. S18E).ComparedwithWT,mTORDAPC inflammatoryDCshad higher expression of lineage-associatedmarkers CD64 and Ly6C and elevated CD80and CD86 costimulatorymolecule expression (fig.S18, E and F), consistent with a more progressivedifferentiation/activation status. To directly testthe requirement for inflammatory DCs in TH17/neutrophilic inflammation, we ablated this pop-ulation by administering aCsf1r neutralizing anti-bodies, which reverted mTORDAPC allergy to TH2/eosinophilic modality (Fig. 6B and fig. S19).Given the observed mTOR-dependent meta-

    bolic phenotypes in steady-state lung APCs, weasked whether there was a metabolic basis forthe TH17 allergic phenotype. Despite minimaldifferences between resting classical CD11b+ DCsin lungs of WT and mTORDAPC mice, there was astriking perturbation in the metabolome of in-flammatory DCs (fig. S20). In addition to differ-ences in amino acid metabolism found in otherDC subsets, we detected elevated fatty acid (FA)metabolites (Fig. 6C). mTOR inhibition in BMDCscan enhance fatty acid oxidation (FAO) and there-by regulate DC life-span/cytokine expression pro-files (39, 40). However, a physiological role forthis mechanism in primary DCs has not beendescribed. To directly investigate whether ele-vated FAO underlies enhanced inflammatoryDC activity, we treated mTORDAPC mice withetomoxir, an inhibitor of the rate-limiting FAOenzyme carnitine palmitoyltransferase 1 (Cpt1)(41). Etomoxir significantly reduced the activa-tion phenotype of mTORDAPC inflammatory DCswithout affecting WT (Fig. 6D) and also reducedTH17 polarization in mTOR

    DAPC lung (Fig. 6E).These observations are consistent with a modelin which mTOR deletion in inflammatory lungDCs increases FAO to promote TH17-polarizingactivity.Finally, we investigated whether dysregulated

    cytokine production by inflammatory DCs influ-ences allergic polarity. The proinflammatory cy-tokines IL-6 and IL-1b function upstream of IL-23to promote a TH17-polarizing cascade. Analysisof CD11b+ DCs in lung and MedLN 3 days afteradministration of HDM revealed evidence ofelevated IL-12/23p40, IL-6, and IL-1b, all ofwhich are associated with TH17 polarization andneutrophilia (fig. S21, A and B) (29). IL-23 neu-tralization reverted lung neutrophilia toward aneosinophilic phenotype (Fig. 6F), concomitantwith restoration in T cells of TH2 polarity (fig.S21C), identifying this cytokine as a key immu-nological player in mTORDAPC-dependent neu-trophilic inflammation.

    Discussion

    Here, we demonstrate a striking heterogeneity inthe metabolic profiles of APCs in distinct tissuesand reveal a key role for mTOR in programmingthe homeostasis and function of APC subsets inthe lung. In the steady state, mTORDAPC miceexhibited tissue-dependent phenotypes with re-duced numbers of AMs and CD103 DCs in the

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 5 of 8

    WTBatf3-/-

    IFN

    + %

    of C

    D8+

    PMA + Ionomycin

    NP366-374

    MedLN Lung

    IFN

    + %

    of C

    D8+

    WT mTOR APCMedLN Lung

    CD

    44

    IFN

    18.8

    WT mTOR APC

    22.013.3 12.4

    CD

    44

    IFN

    0.1 1.3

  • lung and skin, but not elsewhere, unlike moreglobal phenotypes observed when GM-CSF orFlt3l signaling is impaired (14, 18, 38). Theseeffects were mediated by Raptor-dependentmTORC1 signaling but, surprisingly, were inde-pendent of translational regulation of mRNA, thecanonical signaling pathway downstream ofmTOR. Instead, our data reveal a role for Srebp1/2 signaling downstream of mTOR in homeosta-sis of lung APCs in the steady state (fig. S10). Theselective effects of mTOR deficiency in CD103DCs in the lung and skinwere surprising, becausethe development of this DC subset in diverse tis-sues is controlled by the transcription factor Batf3.Thus, these results suggest that the homeostasis

    of DCs in tissues is orchestrated by the superim-position of ametabolic programon the transcrip-tional network that regulates development.In addition to these effects in the steady state,

    mTOR deficiency also altered the character ofallergic inflammation induced by lung CD11b+

    DCs, skewing it toward the TH17/neutrophilicphenotype. This phenotype closely parallels as-pects of human disease, in which neutrophiliaassociates with higher clinical severity andworseprognosis in asthma (29). Interestingly, the al-lergic phenotype observed in mTORDAPC micewas associated with elevated immunoglobulinE (IgE). Such elevation in serum IgE is alsoobserved in neutrophilic asthma patients (42)

    and can be enhanced by IL-23 (43), which isconsistent with the IL-23 dependence of themTORDAPC neutrophilic inflammation pheno-type. In normal circumstances, mTOR signal-ing in activated BMDCs suppresses oxidativephosphorylation and is in part responsible for aswitch to glycolytic metabolism, which rapidlydepletes intracellular energy reserves and as-sociates with a shortened cellular life span (1).In contrast, mTOR inhibition allows BMDCs tosupply their energetic demands through a combi-nation of glycolysis and FAO, increasing cellsurvival and proinflammatory phenotypes (39).We observed elevated FAO and increased pro-duction of several proinflammatory cytokines in

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 6 of 8

    Fig. 5. mTOR ablation inAMs results in PAP andenhances the antibodymagnitude but not modal-ity of allergy. (A toC) Images show histo-pathological sections of WTor mTORDAPC lung stainedwith (A) hematoxylin andeosin, (B) PAS, (C) immuno-histochemical antibodiesagainst surfactant protein D.(D) BAL cellular fractionswere prepared by cytospinand analyzed after Diff-Quikstaining. Slides are shown at[(A) to (C)] x200 magnifica-tion, where scale bars repre-sent 100 mm and (D) x400magnification, where scalebars represent 50 mm.(E) Pseudocolor plots showthe frequency of Live/DeadAqua+ FSClo (dead cell/debris) events as determinedby flow cytometry. (F toI) HDM was administered toindicated groups for 17 days.Mice were treated with indi-cated clodronate or controlliposome on days –3, 3, and10. (F) AM frequency on day0 before HDM administration.(G) Serum ELISAs showingtotal IgE or HDM-specific IgG1antibody titers. (H) Barcharts show the frequency ofIL-4+ and IL-17+ T cells inindicated groups and organs.(I) Bar charts show the fre-quency of eosinophils andneutrophils in indicatedgroups and organs; pseudo-color plots show representa-tive data. Data represent[(A) to (D)] three or moreslides from two or morebiological replicates, [(E) to(I)] two or more representa-tive experiments.

    WT mTOR APCL/

    D A

    qua

    FSC

    24.7 52.8

    WT mTOR APC

    0

    2

    4

    6

    8

    WT

    WT

    + Co

    ntro

    l

    WT

    + Cl

    od.

    **

    WT mTOR APC

    AM

    % C

    D45

    +

    WT + Control WT + ClodronatemTORAPC

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    Lung

    BAL

    IL-4

    + %

    of C

    D4

    IL-4

    + %

    of C

    D4

    0

    10

    20

    30

    40

    *******

    0

    5

    10

    15

    20

    IL-1

    7+ %

    of C

    D4

    IL-1

    7+ %

    of C

    D4

    0

    10

    20

    30

    40

    *** **

    * *

    0

    20

    40

    60

    Eos

    inop

    hils

    % C

    D11

    b+

    0

    20

    40

    60

    80

    100 *** ***

    0

    10

    20

    30

    40

    Neu

    trop

    hils

    % C

    D11

    b+N

    eutr

    ophi

    ls %

    CD

    11b+

    0

    10

    20

    30

    40

    50

    ** ***

    Eos

    inop

    hils

    % C

    D11

    b+

    ******

    Sig

    lec-

    F

    Ly-6G

    mTOR APC WT + Clod.

    Sig

    lec-

    F

    Ly-6G

    11.4

    18.6

    30.9

    32.0

    74.3

    5.3

    23.6

    7.9

    100

    1000

    10000

    100000

    1

    10

    100

    ng/m

    L

    AU

    Total IgE HDM-specific IgG1

    WT

    + Co

    ntro

    l

    WT

    + Cl

    od.

    WT

    + Co

    ntro

    l

    WT

    + Cl

    od.

    ***

    **

    ***

    RESEARCH | RESEARCH ARTICLEon July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/

  • mTORDAPC lung. Indeed one of these cytokines,IL-23, plays an obligate role in TH17/neutrophilicinflammation. Together, our study reveals a keyrole for mTOR in programming the homeostasisand function of APCs in the lung. In the steadystate, mTOR supports accumulation of lung sub-sets by promoting lipid synthesis (anabolism)(fig. S22A). In the context of allergic inflamma-tion, mTOR restrains catabolic processes suchas FAO, preventing excessive inflammation (fig.S22B). The results herein identify tissue-restrictedmetabolic adaptations of APCs as a critical deter-minant of immune regulation, raising the prospectof metabolic reprogramming of such tissue-resident APCs for therapeutic benefit in variousinflammatory disorders.

    REFERENCES AND NOTES

    1. E. J. Pearce, B. Everts, Nat. Rev. Immunol. 15, 18–29(2015).

    2. B. Pulendran, Annu. Rev. Immunol. 33, 563–606 (2015).3. T. D. Querec et al., Nat. Immunol. 10, 116–125 (2009).4. R. Ravindran et al., Science 343, 313–317 (2014).5. R. Ravindran et al., Nature 531, 523–527 (2016).6. N. Sukhbaatar, M. Hengstschläger, T. Weichhart, Trends

    Immunol. 37, 778–789 (2016).7. M. Laplante, D. M. Sabatini, Cell 149, 274–293 (2012).8. F. J. Dumont, M. J. Staruch, S. L. Koprak, M. R. Melino,

    N. H. Sigal, J. Immunol. 144, 251–258 (1990).9. R. Keating et al., Nat. Immunol. 14, 1266–1276 (2013).10. K. Araki et al., Nature 460, 108–112 (2009).11. R. Colina et al., Nature 452, 323–328 (2008).12. W. Cao et al., Nat. Immunol. 9, 1157–1164 (2008).13. T. Weichhart et al., Immunity 29, 565–577 (2008).14. T. Sathaliyawala et al., Immunity 33, 597–606 (2010).15. B. Kellersch, T. Brocker, Blood 121, 298–307 (2013).16. S. P. Nobs et al., Immunity 43, 674–689 (2015).17. M. Haidinger et al., J. Immunol. 185, 3919–3931 (2010).18. H. J. McKenna et al., Blood 95, 3489–3497 (2000).19. D. Vremec et al., Eur. J. Immunol. 27, 40–44 (1997).20. S. P. Nobs et al., Immunity 43, 674–689 (2015).21. E. L. Gautier et al., Nat. Immunol. 13, 1118–1128 (2012).22. A. Schlitzer et al., Immunity 38, 970–983 (2013).23. B. T. Edelson et al., J. Exp. Med. 207, 823–836 (2010).24. D. Eberlé, B. Hegarty, P. Bossard, P. Ferré, F. Foufelle,

    Biochimie 86, 839–848 (2004).25. T. Porstmann et al., Cell Metab. 8, 224–236 (2008).26. M. Laplante, D. M. Sabatini, Curr. Biol. 19, R1046–R1052

    (2009).27. S. Saglani et al., Am. J. Respir. Cell Mol. Biol. 41, 281–289

    (2009).28. M. Plantinga et al., Immunity 38, 322–335 (2013).29. J. F. Alcorn, C. R. Crowe, J. K. Kolls, Annu. Rev. Physiol. 72,

    495–516 (2010).30. J. Douwes, P. Gibson, J. Pekkanen, N. Pearce, Thorax 57,

    643–648 (2002).31. J. Helft et al., J. Clin. Invest. 122, 4037–4047 (2012).32. J. F. Seymour, J. J. Presneill, Am. J. Respir. Crit. Care Med. 166,

    215–235 (2002).33. P. L. Shah, D. Hansell, P. R. Lawson, K. B. Reid, C. Morgan,

    Thorax 55, 67–77 (2000).34. S. A. Mathie et al., Allergy 70, 80–89 (2015).35. Y. Gao et al., Immunity 39, 722–732 (2013).36. E. K. Persson et al., Immunity 38, 958–969 (2013).37. R. Tussiwand et al., Immunity 42, 916–928 (2015).38. M. Greter et al., Immunity 36, 1031–1046 (2012).39. E. Amiel et al., J. Immunol. 193, 2821–2830 (2014).40. E. Amiel et al., J. Immunol. 189, 2151–2158 (2012).41. S. M. Houten, R. J. Wanders, J. Inherit. Metab. Dis. 33,

    469–477 (2010).42. M. Milovanovic, G. Drozdenko, C. Weise, M. Babina, M. Worm,

    J. Invest. Dermatol. 130, 2621–2628 (2010).43. J. Peng, X. O. Yang, S. H. Chang, J. Yang, C. Dong, Cell Res. 20,

    62–71 (2010).

    ACKNOWLEDGMENTS

    We thank V. Bliss and P. Sharma for histological support, G. Tharpand N. Patel for genomics analysis, V. Tran for metabolomics,B. Cervasi and K. Gill for fluorescence-activated cell sorting

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 7 of 8

    0

    2000

    4000

    6000

    8000

    Lung

    CD

    86 M

    FI

    CD86

    **

    Saturated fatty acids beta-oxidation

    Purine metabolism

    Omega-3 fatty acid metabolism

    Unsaturated fatty acid -oxidation

    Met, Cys metabolism

    Linoleate metabolism

    Gly, Ser, Ala, Thr metabolism

    Fatty acid oxidation

    De Novo fatty acid synthesis

    Carnitine shuttle

    Arg, Pro metabolism

    0

    10

    20

    30

    40

    Infla

    mm

    ator

    y D

    C

    % o

    f C

    D45

    +

    ***

    WT

    mTOR

    APC

    WT

    naive

    0

    10

    20

    30

    40

    BALLung

    0

    20

    40

    60

    80

    100

    0

    10

    20

    30

    40

    0

    50

    100

    Neu

    troph

    ils %

    of C

    D11

    b+

    Eos

    inop

    hils

    % o

    f CD

    11b+

    Neu

    troph

    ils %

    of C

    D11

    b+

    mTOR APC + Isotype

    *****

    ****

    mTOR APC + CSF1r

    Tetradecanoyl–CoA

    Lauroyl–CoA

    3–Oxotetradecanoyl–CoA

    trans-Tetradec–2–enoyl–CoA

    Palmitoylcarnitine

    −! " !#$%&'−()$*+

    Metabolite WT mTORΔAPC

    Urea group/amino group metabolism

    + +

    mTOR APC

    7.317.3

    Lung

    Control Etomoxir

    CD

    44

    IL-17A

    0

    5

    10

    15

    20

    *

    Inflammatory DC

    n.s.

    2 3 4Log10 p

    Eos

    inop

    hils

    % o

    f CD

    11b+

    0

    10

    20

    30

    40

    50

    BAL

    Lung

    0

    20

    40

    60

    80

    0

    10

    20

    30

    40

    0

    50

    100

    Eos

    inop

    hils

    %

    of C

    D11

    b+

    Neu

    troph

    ils

    % o

    f CD

    11b+

    mTOR APC + IL-12p70

    ***

    ***

    ***

    **

    mTOR APC + IL-12/23p40

    Eos

    inop

    hils

    %

    of C

    D11

    b+

    Neu

    troph

    ils

    % o

    f CD

    11b+

    Inflammatory DCWT vs mTOR APC

    mTOR APC

    mTOR APC + EtxrWT+EtxrWT

    IL-1

    7A%

    of C

    D4

    Fig. 6. CD11b+-intrinsic mTOR signaling restrains TH17/neutrophilic polarized HDM allergic responses.HDM (75 mg) was administered i.t. to WTand mTORDAPC mice on days 0 and 2. Lungs were analyzed onday 3. (A) Bar chart shows total inflammatory DC cells in lung. (B) HDMwas administered tomTORDAPCmicefor 3 weeks, along with aCsf1r neutralizing monoclonal antibody or control. Bar charts show the frequencyof eosinophils or neutrophils in lung or BAL. (C) Dot graph shows significantly altered metabolic pathwaysbetween WTand mTORDAPC inflammatory DCs, with amino acid pathways highlighted in red and fatty acidmetabolism pathways highlighted in blue. Dot size corresponds to the number of differentially expressedmetabolites for a given pathway.The x axis shows the log10P value. Heatmap shows the relative abundanceof metabolites involved in FAO pathways, based on tentative annotations produced by the Mummichogsoftware. (D)WTandmTORDAPCmicewere treatedwith etomoxir (etxr) andHDM for 3 days. Bar chart showsCD86mean fluorescence intensity (MFI); histogramshows representative flowcytometrydata. (E)mTORDAPC

    mice were treated with the Cpt1 inhibitor etomoxir and HDM for 17 days. Bar chart shows expressionof IL-17A+ Tcells in lung; contour plots show representative flow cytometric data. (F) HDM was chronicallyadministered to mTORDAPC mice for 3 weeks, along with IL-12p70 control (gray) or IL-12/23p40 (blue)neutralizing antibodies. Bar charts show the frequency of eosinophils or neutrophils in lung or BAL. Datarepresent two or more independent experiments.

    RESEARCH | RESEARCH ARTICLEon July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/

  • (FACS), and H. Hartweger (The Rockefeller University) andE. Schweighoffer (Francis Crick Institute) for advice on B cell FACSstaining. We also thank C. Wongtrakool for advice and discussionon lung inflammation models and readouts. Finally, we thankPulendran laboratory members for discussion and M. Sinclair forproofreading the manuscript. This work was supported by fundingfrom Action Cycling Atlanta and from the People Programme(Marie Curie Actions) of the European Union’s Seventh FrameworkProgramme (FP7/2007-2013) (C.S.) and from the U.S. National

    Institutes of Health (grants R37 DK057665, R37 AI048638, U19AI090023, and U19 AI057266) (B.P.). We are not aware of anyconflicts of interest. Additional data presented in this manuscriptare available in the supplementary materials.

    SUPPLEMENTARY MATERIALS

    www.sciencemag.org/content/357/6355/1014/suppl/DC1Materials and Methods

    Figs. S1 to S22Table S1References (44–58)

    14 September 2016; resubmitted 29 March 2017Accepted 22 June 2017Published online 10 August 201710.1126/science.aaj2155

    Sinclair et al., Science 357, 1014–1021 (2017) 8 September 2017 8 of 8

    RESEARCH | RESEARCH ARTICLEon July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://www.sciencemag.org/content/357/6355/1014/suppl/DC1http://science.sciencemag.org/

  • allergic inflammationmTOR regulates metabolic adaptation of APCs in the lung and controls the outcome of

    Ravindran, Shuzhao Li and Bali PulendranThomas Hagan, Lydia Benitez, Andrei Todor, Deepa Machiah, Timothy Oriss, Anuradha Ray, Steven Bosinger, Rajesh Charles Sinclair, Gayathri Bommakanti, Luiz Gardinassi, Jens Loebbermann, Matthew Joseph Johnson, Paul Hakimpour,

    originally published online August 10, 2017DOI: 10.1126/science.aaj2155 (6355), 1014-1021.357Science

    , this issue p. 1014; see also p. 973Sciencemetabolic characteristics that control APC development and function.influencing the immunological character of allergic inflammation. Thus, tissues endow resident APCs with distinctiveauthors identified a central role for mTOR in mediating the metabolic adaptation of such tissue-resident APCs by by their transcriptional program, but also by their metabolic state (see the Perspective by Wiesner and Klein). Thesites have distinctive metabolic signatures and that the development and function of these cells are determined not only

    demonstrate that APCs at differentet al.pathogen entry, where they act as sentinels of the immune system. Sinclair Antigen-presenting cells (APCs) are scattered throughout the body in lymphoid organs and at the portals of

    Metabolic programming of tissue APCs

    ARTICLE TOOLS http://science.sciencemag.org/content/357/6355/1014

    MATERIALSSUPPLEMENTARY http://science.sciencemag.org/content/suppl/2017/08/09/science.aaj2155.DC1

    CONTENTRELATED

    http://stm.sciencemag.org/content/scitransmed/9/401/eaam9171.fullhttp://stm.sciencemag.org/content/scitransmed/8/359/359ra131.fullhttp://stm.sciencemag.org/content/scitransmed/8/359/359ra132.fullhttp://stm.sciencemag.org/content/scitransmed/8/362/362ra143.fullhttp://science.sciencemag.org/content/sci/357/6355/973.full

    REFERENCES

    http://science.sciencemag.org/content/357/6355/1014#BIBLThis article cites 58 articles, 20 of which you can access for free

    PERMISSIONS http://www.sciencemag.org/help/reprints-and-permissions

    Terms of ServiceUse of this article is subject to the

    is a registered trademark of AAAS.ScienceScience, 1200 New York Avenue NW, Washington, DC 20005. The title (print ISSN 0036-8075; online ISSN 1095-9203) is published by the American Association for the Advancement ofScience

    Science. No claim to original U.S. Government WorksCopyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of

    on July 5, 2021

    http://science.sciencemag.org/

    Dow

    nloaded from

    http://science.sciencemag.org/content/357/6355/1014http://science.sciencemag.org/content/suppl/2017/08/09/science.aaj2155.DC1http://science.sciencemag.org/content/sci/357/6355/973.fullhttp://stm.sciencemag.org/content/scitransmed/8/362/362ra143.fullhttp://stm.sciencemag.org/content/scitransmed/8/359/359ra132.fullhttp://stm.sciencemag.org/content/scitransmed/8/359/359ra131.fullhttp://stm.sciencemag.org/content/scitransmed/9/401/eaam9171.fullhttp://science.sciencemag.org/content/357/6355/1014#BIBLhttp://www.sciencemag.org/help/reprints-and-permissionshttp://www.sciencemag.org/about/terms-servicehttp://science.sciencemag.org/