Sleep is integral to life1, and its insufficiency or disruption increases the risk of multiple pathological conditions, including cardiovascular disease2. Despite these associations, we know little about the cellular and molecular mechanisms by which sleep maintains cardiovascular health. Here we report that sleep regulates hematopoiesis and protects against atherosclerosis. Mice subjected to sleep fragmentation produce more Ly-6Chi monocytes, develop larger atherosclerotic lesions, and produce less hypocretin, a stimulatory and wake-promoting neuropeptide, in the lateral hypothalamus. Hypocretin controls myelopoiesis by restricting CSF1 production by hypocretin-receptor expressing pre-neutrophils in the bone marrow. Consequently, hypocretin-null and hematopoietic hypocretin-receptor-null mice develop monocytosis and accelerated atherosclerosis, which can be mitigated in sleep-fragmented mice via hypocretin supplementation. Together, these results identify a neuro-immune axis that links sleep causally to hematopoiesis and atherosclerosis.
Poor or insufficient sleep is an increasingly significant public health issue3, as nearly half of adults in the United States sleep fewer than the recommended seven to eight hours per day4. Lack of sleep increases risk of obesity5, diabetes6, cancer7 and cardiovascular disease2, but we know little about the underlying mechanisms that link sleep to disease.
To investigate how sleep might protect against cardiovascular disease, we subjected atherosclerosis-prone Apoe−/− mice to chronic sleep fragmentation (SF)8 (Extended Data Fig. 1a and Video 1). We found no changes in body weight, plasma cholesterol, or glucose tolerance (Extended Data Fig. 1b-e), but the mice developed progressively larger atherosclerotic lesions compared to controls (Fig. 1a and Extended Data Fig. 1f-h). Not only did lesion volume increase in SF mice (Fig. 1b), but aortas from SF mice contained more Ly-6Chi monocytes, neutrophils, and macrophages (Fig. 1c), a change that did not result from increased aortic macrophage proliferation (Extended Data Fig. 1i).
Leukocytosis predicts for cardiovascular disease9. Although myeloid cell numbers in blood of mice fluctuated according to a circadian pattern with a peak at Zeitgeber (ZT)5 and a nadir at ZT14 (Fig. 1d), mice subjected to SF had significantly more circulating Ly-6Chi monocytes and neutrophils during the light period. Rhythmicity analysis revealed that the circadian amplitude was increased (0.7 ± 0.16×105 vs. 1.5 ± 0.15×105, p = 0.02, for Ly-6Chi monocytes and 3.6 ± 0.17×105 vs. 5.1 ± 0.11×105, p=0.13, for neutrophils), but the period and phase were unaltered. SF did not change lymphocyte numbers (Extended Data Fig. 1j-l). To understand sleep’s impact on circadian leukocyte migration to tissue10,11, we profiled leukocytes in various organs at ZT3 and ZT14. Both control and SF mice had elevated Ly-6Chi monocyte and neutrophil levels in various tissues during the dark period, and these increases were higher in SF mice (Extended Data Fig. 2). These observations align with human studies that linked sleep curtailment or interruption with leukocyte numbers12,13.
Next, we focused on hematopoiesis. In Apoe−/− mice, SF increased proliferation of Lineage− cKit+ Sca1+ (LSK) hematopoietic progenitors in the bone marrow (BM), and this increase corresponded with a ~two fold higher number of BM LSK cells (Fig. 1e) and other progenitor subsets (Extended Fig. 3a). The spleens of SF mice contained more LSKs and GMPs, indicating heightened extramedullary hematopoiesis (Extended Data Fig. 3b). SF promoted myelopoiesis not only in Apoe−/− HFD-fed mice but also in C57BL/6 mice fed a chow diet (Extended Data Fig. 3c). Together, these data show that SF boosts myeloid-biased hematopoiesis.
Mice subjected to SF had normal bone structure (Extended Data Fig. 4a, b), and leukocytosis persisted even after prolonged antibiotic treatment (Extended Data Fig. 4c), suggesting that enhanced myelopoiesis was not driven by either physical alterations to the bone or the microbiome, respectively. Because stress activates the sympathetic nervous system (SNS), which can heighten hematopoiesis14, we wondered whether SF-induced myelopoiesis likewise depends on SNS activation, but found no evidence for such a mechanism (Extended Data Fig. 5a-d). Nevertheless, SF mice were more anxious (Extended Data Fig. 5e-g), demonstrating that mice do not easily habituate to sleep fragmentation.
We then focused on the hypothalamus, and specifically on expression of transcripts that encode sleep-regulating proteins (Extended Data Fig. 5h-j). SF decreased hypothalamic hypocretin (Hcrt, also known as orexin) expression (Fig. 1f-h), correlating with reduced levels of the isoform hypocretin-1 in plasma and bone marrow (Fig 1i). Hypothalamic hypocretin reduced gradually and correlated inversely with leukocytosis (Extended Data Fig. 6a). We did not see alterations in hypocretin’s co-transmitter dynorphin15 (Extended Data Fig. 6b-e) or any evidence for death of hypocretin-producing neurons (Extended Data Fig. 6f), suggesting specific repression of hypocretin, potentially mediated by neuropeptide-Y16 (Extended Data Fig. 5h). Furthermore, sleep recovery following SF restored hypothalamic hypocretin content and normalized myelopoiesis (Extended Data Fig. 6g-i). These data intrigued us because hypocretin mediates metabolism, sleep, and appetite17, while autoimmune destruction of hypocretin neurons causes narcolepsy18 and a pro-inflammatory immune signature19. In keeping with hypocretin’s function in appetite promotion, SF mice consumed less food than controls (Extended Data Fig. 5k).
In humans, reduced plasma hypocretin associates with risk of myocardial infarction (MI)20, heart failure21, and obesity22. Likewise, studies suggest narcoleptic patients have heightened risk of heart disease23. In mice, deleting hypocretin severely fragments sleep/wake cycles, causes cataplexy, and promotes diet-induced obesity24,25. Moreover, deleting hypocretin receptor-2 worsens post-MI healing21. We therefore profiled leukocytes in hypocretin-null (Hcrt−/−) mice, and noted more Ly-6Chi monocytes and neutrophils in the blood, spleen, and bone marrow relative to WT controls (Fig. 2a-b and Extended Data Fig. 7). Rhythmicity analysis of Hcrt−/− mouse blood revealed that Ly-6Chi monocytes and neutrophils had elevated circadian amplitudes (1.8 ± 0.32×105 vs. 3.7 ± 0.55×105, p=0.02, for Ly-6Chi monocytes and 4.1 ± 0.69×105 vs.8.1 ± 0.11×105, p=0.03, for neutrophils), but the period and phase were unchanged. Hcrt−/− mouse bone marrow had more hematopoietic progenitors along with heightened LSK proliferation (Fig. 2c and Extended Data Fig. 7). As in the SF mice, accelerated hematopoiesis in hypocretin-deficient mice did not appear to depend on the microbiome (Extended Data Fig. 4d). These results suggest that sleep regulates hematopoiesis via hypocretin.
Next, we tested whether hypocretin can affect hematopoiesis and atherosclerosis. We found that the hypothalamus produced nearly all the hypocretin (Extended Fig. 8a, b). Sixteen weeks of sleep fragmentation did not alter hypocretin production in the bone and bone marrow (Extended Fig. 8c), indicating that the hypothalamus was the relevant source affected by sleep. Indeed, we found substantial concentrations of the neuropeptide in the cerebrospinal fluid, plasma, and bone marrow fluid of WT but not Hcrt−/− mice, and we detected high HCRT-1 levels in the plasma and bone marrow fluid of Hcrt−/− mice after injecting HCRT-1 into the cerebrospinal fluid of the cisterna magna (Extended Fig. 8d, e). Consequently, we generated chimeric mice lacking hypocretin production in either the non-hematopoietic compartment (including the hypothalamus) or hematopoietic cells (Fig. 2d), and found heightened hematopoiesis in Hcrt−/− mice containing wild-type (WT) BM cells (Fig. 2e). We also placed Hcrt−/− mice in parabiosis with WT mice (Fig. 2f), noting that WT-partnered Hcrt−/− mice had suppressed hematopoiesis compared to Hcrt−/−-partnered Hcrt−/− mice (Fig. 2g). These data suggest that hypothalamus-produced hypocretin can enter the circulation to affect hematopoiesis in the distal bone marrow26,27. To determine if hypocretin deficiency aggravates atherosclerosis, we generated Hcrt−/−Apoe−/− mice, which had larger lesions with more aortic leukocytes than Apoe−/− controls (Fig. 2h, i).
Having identified a link between hypocretin, hematopoiesis, and atherosclerosis, we examined the underlying mechanism. Although hypocretin receptor-1 (HcrtR1) and HcrtR2 expression was highest in the hypothalamus, we detected HcrtR1 in multiple tissues, including the bone marrow (Extended Data Fig. 8f,g). However, adding hypocretin to granulocyte-macrophage colony-forming unit (CFU-GM) cultures had no effect on hematopoiesis in vitro (Extended Data Fig. 8h). We therefore sorted 14 different cell types from the bone marrow and found that neutrophils, but not other cells, expressed HcrtR1 transcript (Fig. 3a) and protein (Extended Data Fig. 8i). We next sorted neutrophils by maturation stage28 (Extended Data Fig. 9a) and found that pre-neutrophils expressed HcrtR1 most abundantly (Fig. 3b). Using knockout-reporter HcrtR1Gfp/Gfp mice29 we identified a subset of bone marrow-resident pre-neutrophils as GFP+ and thus able to express the receptor (Fig. 3c and Extended Data Fig. 9b)
The observation that BM CXCR4+CXCR2− pre-neutrophils expressed HcrtR1 was intriguing because these cells reside in close proximity to hematopoietic progenitors28. Moreover, neutrophils produce substantial colony stimulating factor-1 (CSF1), which promotes BM myeloid-biased hematopoiesis30 (Fig. 3d). In part because pre-neutrophils sorted from WT mice expressed less Csf1 compared to mature neutrophils (Fig. 3e), we tested whether hypocretin can control hematopoiesis through HcrtR1+ pre-neutrophil-derived CSF1. In vitro, hypocretin limited pre-neutrophils’ capacity to produce CSF1 in response to LPS (Fig. 3f and Extended Data Fig. 9c). Ex vivo, pre-neutrophils and neutrophils sorted from Hcrt−/− mice contained more Csf1 mRNA and secreted more CSF1 protein than cells sorted from WT mice (Fig. 3g and Extended Data Fig 9d). In vivo, we found heightened CSF1 in the bone marrow of Hcrt−/− mice and Apoe−/− mice subjected to SF (Fig. 3h). Indeed, SF increased Csf1 production without substantially changing other mediators (Extended Data Fig. 9e).
Because BM non-hematopoietic cells do not express HcrtR1 (Fig. 3a) but produce CSF1 (Fig. 3d), we asked whether hypocretin-mediated control of leukocyte-derived CSF1 is important. First, we lethally irradiated WT mice and transplanted them with BM cells from either WT or HcrtR1 knockout-reporter, HcrtR1Gfp/Gfp, mice. Chimeras with HcrtR1Gfp/Gfp bone marrow developed monocytosis (Fig. 3i), along with increased LSK numbers, LSK proliferation (Fig. 3j), and CSF1 in the bone marrow (Fig. 3k). Second, we transplanted Ldlr−/− mice with HcrtR1Gfp/Gfp bone marrow and noted augmented atherosclerosis (Fig. 3l). Third, we lethally irradiated WT or Hcrt−/− mice and transplanted them with BM cells from either WT or Csf1−/− mice (Extended Data Fig. 10a). As expected, WT mice had relatively few Ly-6Chi monocytes regardless of BM source. However, while Hcrt−/− mice reconstituted with WT BM cells developed leukocytosis, Hcrt−/− mice reconstituted with Csf1−/− BM cells had relatively few Ly-6Chi monocytes, limited hematopoietic progenitors and proliferation, and reduced CSF1 concentrations (Extended Data Fig. 10b-f). Curiously, neutrophil numbers remained high in Hcrt−/− mice reconstituted with Csf1−/− BM, indicating that neutrophilia in Hcrt−/− mice was not directly related to Hcrt-leukocyte control of CSF1, an observation we confirmed in WTbmHcrtR1Gfp/Gfp chimeras (Extended Data Fig. 9f). Fourth, we induced atherogenesis in WT and Hcrt−/− chimeras reconstituted with either WT or Csf1−/− BM by over-expressing PCSK9 and feeding the mice a high cholesterol diet. We found that Hcrt−/−bmWT mice developed larger lesions than Hcrt−/−bmCsf1−/− (Extended Data Figure 10g-i). These data agree with the hypothesis that hypocretin controls monocytosis and atherosclerosis by mediating neutrophil CSF1 production.
Finally, we sought to explore hypocretin’s role in atherosclerosis and sleep fragmentation. We generated Ldlr−/− mice with either WT or Csf1−/− bone marrow, and subjected the chimeras to SF (Fig. 4a). Whereas Ldlr−/− mice with WT bone marrow subjected to SF developed monocytosis via increased hematopoiesis, LSK proliferation, and more CSF1 in the bone marrow, leading to bigger atherosclerotic lesions, absence of BM-derived Csf1 reduced these parameters in SF mice (Fig. 4b-e). Moreover, we delivered hypocretin to the periphery of Apoe−/− mice subjected to SF (Fig. 4f). Compared to controls, Apoe−/− mice subjected to SF and receiving hypocretin had fewer monocytes and neutrophils in the blood (Fig. 4g), reduced BM LSKs numbers and proliferation (Fig. 4h), lower CSF-1 levels in the bone marrow (Fig. 4i), and smaller lesions (Fig. 4j). These results demonstrate that hypocretin loss during SF aggravates hematopoiesis and atherosclerosis.
Our data indicate that sleep protects against atherosclerosis. Undisturbed sleep maintains proper hypothalamic release of hypocretin, which limits pre-neutrophil CSF1 in the bone marrow, thereby curtailing hematopoiesis and atherosclerosis. This neuro-immune axis directly connects sleep to immune function and cardiovascular disease (Fig. 4k).
Methods
Animals.
C57BL/6J (wild type, WT), Apoetm1Unc (Apoe−/−), Ldlrtm1Her/J (Ldlr−/−) and Csf1op (Csf1−/−) mice were purchased from The Jackson Laboratory (Bar Harbor, ME, USA). Hcrt−/− mice31 were kindly provided by Dr. Thomas Scammell (Division of Sleep Science, Harvard Medical School) and bred in-house. HcrtR1Gfp/Gfp mice29,32 were kindly provided by Dr. Anne Vassalli (Department of Physiology, University of Lausanne). Stromal cell reporter mice Nestin-GFP33,34, LeptinRcre-R26-EYFP35,36, and OCN-GFPtopaz−37 were kindly provided by Dr. David Scadden (Department of Stem Cell and Regenerative Biology, Harvard University and the Center for Regenerative Medicine, Massachusetts General Hospital). Genotyping for each strain was performed as described on the Jackson Laboratory website. Age- and sex-matched animals were used starting at 8–12 weeks of age. For experiments involving Apoe−/− and Ldlr−/− mice, females mice were used. For all other experiments, both male and female mice were used. All mice were group housed on a 12:12-h light-dark cycles at 22°C with free access to food and water. Where appropriate, animals were randomly assigned to interventions. All protocols were approved by the Animal Review Committee at Massachusetts General Hospital (Protocol No. 2011N000035 and 2015N000044) and were in compliance with relevant ethical regulations.
In vivo interventions.
Diet:
Apoe−/− mice were fed a high-fat diet (HFD, Harlan Teklad, TD.88137) and Ldlr−/− mice were fed a high-cholesterol diet (HCD, Research Diets D12331). 5 × 1011U of adv-PCSK9 virus was injected i.v and mice began consuming a high-cholesterol diet (HCD, Research Diets D12331) immediately after virus injection. Unless otherwise indicated, mice were fed a regular chow diet.
Sleep fragmentation:
For sleep fragmentation studies, mice were placed in a sleep fragmentation chamber (Lafayette Instrument, Lafayette, IN) at the same time as initiation of special diet feeding. The sweep bar moved along the bottom of the cage every 2 minutes during the light cycle (ZT0–12). The sweep bar automatically shut off and was stationary during the dark cycle (ZT12–24). Control mice that received undisturbed sleep were placed in sleep fragmentation chambers with stationary sweep bars. For the control experiment in Extended Data Figure 1f-h, the sweep bar moved along the bottom of the cage every 2 minutes during the dark cycle (ZT12–0) and automatically shut off and was stationary during the light cycle (ZT0–12)
Interventions:
For studies on microbiota, mice were treated with an antibiotic cocktail (0.1% Ampicillin, 0.1% Metronidazole, 0.05% Vancomycin, and 0.1% Neomycin) in drinking water for 4 weeks. Antibiotic-containing drinking water was changed weekly. For hypocretin supplementation studies, HFD fed Apoe−/− control and SF mice were implanted subcutaneously with osmotic mini-pumps (Alzet, Cupertino, CA) 8 weeks after experiment initiation. Mice were randomly assigned a pump containing either saline or Hypocretin-1 (Sigma Aldrich, St. Louis, MO) delivered at 50nmol/hr/kg. Pumps were replaced after 4 weeks.
Parabiosis:
The procedure was conducted as previously described38–40. Briefly, age-, sex- and weight-matched animals were used and housed together for at least 14 days prior to surgery. Each mouse’s corresponding lateral aspects were shaved, incisions were made from the fore-limb joint to the hind-limb joint and the subcutaneous fascia was bluntly dissected to create 0.5 cm of free skin. Fore- and hind-limb joints were joined and the dorsal and ventral skins were approximated by continuous suture using mononylon 5.0 (Ethicon).
Bone marrow transplantation:
Mice were lethally irradiated (950cGy) and reconstituted with 6×106 BM cells injected i.v. to generate chimera groups. Mice were allowed to recover for 8 weeks prior to further manipulation.
Intra-cisterna magna injection:
The procedure was conducted as previously described41. Mice were anesthetized and the skin of the neck was shaved and disinfected with 70% ethanol. Mice were placed in a stereotactic frame (Stoelting, Wood Dale,IL) to secure their heads. A skin incision was made at the back of the neck and muscle layers were retracted to expose the cisterna magna. Using a Hamilton syringe 2μg of Hypocretin-1 dissolved in 5μl of PBS was injected into the CSF-filled cisterna magna compartment. After injection the needle was left in place for 5 minutes before removal to prevent back-flow. The skin of the neck was sutured closed and mice were allowed to recover.
Cells.
Cell collection:
Peripheral blood was collected by retro-orbital bleeding and red blood cells were lysed in RBC lysis buffer (Biolegend, San Diego, CA). Aortas, lungs, livers, and hearts were excised after PBS (Thermo Fisher Scientific, Waltham, MA) perfusion, minced and digested with 450 U/ml collagenase I, 125 U/ml collagenase XI, 60 U/ml DNase I and 60 U/ml hyaluronidase (Sigma-Aldrich, St. Louis, MO) in PBS for 20 minutes (liver), 40 minutes (aorta) or 1hr (heart and lung) at 37°C. Spleens were crushed through a 40μm cell strainer and red blood cells were lysed with RBC lysis buffer. Bone marrow cells were collected by flushing bones with PBS after which a single cell suspension was created by passing cells through a 26-gage needle and red blood cells were lysed with RBC lysis buffer. Total viable cell numbers were counted using trypan blue (Cellgro, Mediatech, Inc., Manassas, VA) or counting beads (Thermo Fisher Scientific, Waltham, MA).
Cell sorting:
BM cell suspensions were stained to identify indicated cell population and cells were sorted on a FACS Aria II cell sorter (BD Biosciences, Billerica, MA) directly into collecting medium.
Flow Cytometry:
Single cell suspensions were stained in PBS supplemented with 2% FBS and 0.5% BSA. The following monoclonal antibodies were used for flow cytometric analysis: anti-CD45 (BioLegend, clone30-F11, Cat#103147, Lot#B243834), anti-CD45.1 (BioLegend, clone A20, Cat#110708), anti-CD45.2 (BioLegend, clone 104, Cat#109802), anti-CD3 (BioLegend, clone 17A2, Cat#100206), anti-CD90.2 (BioLegend, clone 53–2.1, Cat#105308, Lot#B260050), anti-CD19 (BioLegend, clone 6D5, Cat#115508, Lot#B226581), anti-B220 (BD Biosciences, clone RA3–6B2, Cat#553089, Lot#6012954), anti-NK1.1 BioLegend, clone PK136, Cat#108708), anti-Ly6G (BioLegend, clone 1A8, Cat127614#, Lot#B259670), anti-Ly6C (BioLegend, AL-21, Cat#128006, Lot#B247728), anti-MHCII (BioLegend, clone M5/114.152, Cat#107602, Lot#B217859), anti-F4/80 (Biolegend, clone BM8, Cat#123114, Lot#B237342), anti-CD11b (BioLegend, clone M1/70, Cat#101226, Lot#B238268), anti-CD115 (BioLegend, clone AFS98, Cat#135517, Lot#B265220), anti-Ter119 (BioLegend, clone TER-119, Cat#116208, Lot#B220899), anti-CD34 (eBioscience, clone RAM34, Cat#11–0341-85, Lot#E00265–1634), anti-CD49b (BioLegend, clone DX5, Cat#1089008, Lot#B258302), ant-CD11c (BioLegend, clone N418, Cat#117310, Lot#B206713), anti-IL7Rα (BioLegend, clone SB/199, Cat#121112, Lot#B189668), anti-CD16/32 (BioLegend, clone 93, Cat#101324, Lot#B250025), anti-CD150 (BioLegend, clone TC15–12F12.2, Cat#115922, Lot#B220585), anti-cKit (BioLegend, clone 2B8, Cat#105814, Lot#B252918), anti-CD135 (BioLegend, clone A2F10, Cat#135310, Lot#B234045), anti-CD48 (BioLegend, clone HM48–1, Cat#103426, Lot#B236445), anti-Sca1 (BioLegend, clone D7, Cat#108126, Lot#B234288), anti-CD8 (BD Bioscience, clone 53–6.7, Cat#553035, Lot#2296946), anti-CD4 (BioLegend, clone GK1.5, Cat#100428, Lot#B237336), anti-SiglecF (BD Pharmingen, clone E50–2440, Cat#562680, Lot#7054789), anti-CXCR4 (Invitrogen, clone 2B11, Cat#12–9991-81, Lot#B251481), anti-CXCR2 (BioLegend, clone SA044G4, Cat#149307, Lot#B251481), anti-BrdU (eBioscience, clone BU20A, Cat#17–5071-42, Lot#4319920). All antibodies were used in a 1:700 dilution.Viable cells were identified as unstained with Zombie Aqua (Biolegend, CA). Cells were identified as (i) Ly6Chigh monocytes (CD45+Lin1−CD11b+CD115+F4/80−Ly-6Chigh), (ii) neutrophils (CD45+Lin1−CD11b+Ly-6G+F4/80−), (iii) macrophages (CD45+Lin1−CD11b+F4/80+Ly-6Clow), (iv) B cells (CD45+B220+CD19+F4/80−CD11b−), (v) CD4 T cells (CD45+CD3+CD90+CD4+CD11b−F4/80−), (vi) CD8 T cells (CD45+CD3+CD90+CD8+CD11b−F4/80−), (vii) LSKs (CD45+Lin2−cKit+Sca1+), (viii) MPP4 (CD45+Lin2−cKit+Sca1+CD135+CD150−), (ix) MPP3 (CD45+Lin2−cKit+Sca1+CD135+CD150−CD48+), (x) MPP2 (CD45+Lin2−cKit+Sca1+CD135+CD150+CD48+), (xi) short-term hematopoietic stem cell (StHSC, CD45+Lin2−cKit+Sca1+CD135+CD150−CD48−), (xii) LtHSC (CD45+Lin2−cKit+Sca1+CD135+CD150+CD48−), (xiii) common myeloid progenitor (CMP, CD45+Lin2−cKit+Sca1−CD34+CD16/32mid), (xiv) granulocyte/macrophage progenitor (GMP, CD45+Lin2−cKit+Sca1−CD34+CD16/32highCD115−), (xv) monocyte-dendritic cell progenitor (MDP, CD45+Lin2−cKit+Sca1−CD34+CD16/32highCD115+), for neutrophils populations (CD45+CD3−CD90.2−CD19−NK1.1−SiglecF−CD115−cKitlowCD11b+Gr-1+) (xvi) pre-neutrophils were then separated as cKitintCXCR4+CXCR2−, (xvii) immature neutrophils as ckit−CXCR4−CXCR2−, and (xviii) mature neutrophils as ckit−CXCR4−CXCR2+Ly6G+. Lineages were defined as Lin1: CD3, CD90.2, CD19, NK1.1, Ter119 and Lin2: B220, CD19, CD49b, Ter119, CD90.2, CD11b, CD11c, Ly-6G, IL7Rα. Osteolineage cells (OCN+) cells were identified as CD45−Ter119−CD31−GFP+ from the bone fraction of OCN-GFP mice. Leptin receptor (LepR+) cells were identified as CD45−Ter119−CD31−YFP+ form the bone marrow fraction of LeptinRcre-R26-EYFP. Nestin+ cells were identified as CD45−Ter119−CD31−GFP+ form the bone and bone marrow fraction of Nestin-GFP mice. Endothelial cells were identified as CD45−Ter119−CD31+ of the bone marrow fraction of LeptinRcre-R26-EYFP mice. Data were acquired on a LSRII (BD Biosciences, Billerica, MA) and analyzed with FlowJo (Tree Star, Ashland, OR).
BrdU incorporation.
To assess cell proliferation, 1mg BrdU was injected intraperitoneally 2 hours prior to sacrifice. BrdU flow kit (BD Biosciences, Billerica, MA) was used to stain BrdU+ cells.
RNA and protein assays.
PCR:
Total RNA was isolated using the RNeasy Mini Kit (Qiagen, Venlo, Netherlands) or the NucleoSpin RNA XS kit (Takara Bio) according to the manufacturer’s instructions. RNase-free DNase Set (Quiagen) was used for DNase digestion during RNA purification. RNA quantity and quality were assessed by nano drop for RNA isolated from tissues and with the Aglient RNA 6000 Pico kit (Aglient Technologies) on the Aglient 2100 Bioanalyzer for RNA of FACS-purified cells. cDNA was generated from 1μg of total RNA per sample using High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA). Quantitative real-time TaqMan PCR was performed using the following TaqMan primers: (Applied Biosystems: Actb (Mm00607939_s1), Hcrt (Mm01964030_s1), HcrtR1 (Mm01185776_m1), HcrtR2 (Mm01179312_m1), Csf1 (Mm00432686_m1), Pmch (Mm01242886_g1), Tph2 (Mm00557715_m1), Agrp (Mm00475829_g1), Galp (Mm00626135_m1), Ghrl (Mm00612524_m1), Gad1 (Mm04207432_g1), Npy (Mm01410146_m1), Pomc (Mm00435874_m1), LepR (Mm00440181_m1), Clock (Mm00455950_m1), Arntl2 (Mm05549497_m1), NR1d2 (Mm01310356_g1), Csf2 (Mm01290062_m1), IL-1β (Mm00434228_m1), CCL2 (Mm00441242_m1), IL-6 (Mm00446190_m1), MPO (Mm01298424_m1), Dpny (Mm00457573_m1). PCR was run on a 7500 thermal cycler (Applied Biosystems, Foster City, CA). Gene expression was normalized to βactin and quantified with the 2ΔΔCT method.
ELISA:
Hypocretin-1 levels were measured by ELISA kit (Fujifilm Wako Chemicals, Richmond, VA)42 and CSF1 (M-CSF) levels were measured by ELISA kit (Boster Biologial Technology, Pleasanton, CA) according to the manufacturers’ instructions. BM ELISAs were performed on BM fluid. Briefly, a small hole was made at the tips of long bones and the marrow was spun out of the bones by centrifugation at 10,000 rpms for 10 minutes. The supernatant fluid was collected.
Western Blot:
Total protein was extracted from cells in RIPA Lysis buffer with protease and phosphatase inhibitor cocktail. Total protein amount was quantified by Bradford assay. 15μg of protein was subjected to electrophoresis using NuPAGE Novex Cel System (Life Technologies, Carlsbad, CA) and transferred to nitrocellulose membrane using iBlot Gel Transfer System (LifeTechnologies, Carlsbad, CA) according to manufacturer’s instructions. Anti-hypocretin receptor-1 antibody (ab68718, Abcam, Cambridge, MA) and anti-βactin antibody (clone 13E5, Cell Signaling, Danvers, MA) were used.
Cell Culture.
For cell culture experiments, cells were cultured in complete medium (RPMI-1640 supplemented with 10% FBS, 2mM L-glutamine, 100 U/ml penicillin and streptomycin, 10mM Hepes, 50μM 2-mercaptoethanol, 1mM sodium pyruvate, and 1xnonessential amino acids) and kept in a humidified 5% CO2 incubator at 37°C. Neutrophils were sorted with a FACS Aria II and 5×105 cells were seeded into 48 well plates in 0.5ml medium. Cells were then pre-incubated with 0.1μM hypocretin-1 for 3 hours followed by co-treatment with 20ng/ml LPS for 3 hours as indicated. Cells and medium were collected for downstream analysis.
Myeloid colony forming unit assay:
Single cell suspension from bone marrow was prepared and 2 × 104 cells were plated in triplicates in complete methylcellulose medium (MethoCult GF M3534) with or without hypocretin-1 according to manufacturer’s instructions. Colony forming units were counted after 11 days in a 5% CO2 incubator at 37°C.
Histology and μCT.
Aortas:
Aortic roots were dissected and embedded in Tissue-Tek O.C.T. compound (Sakura Finetek, Torrance, CA), frozen in 2-Methylbutane (Fisher Scientific, Fair Lawn, NJ) cooled with dry ice, and sectioned into 6μm slices. To compare lesion size among the groups, sections that captured the maximum lesion area were used. To measure lesion volume, sections were collected beginning at the first appearance of the aortic valves and continuing until lesions were no longer visible. Oil-red-O (Sigma Aldrich, St. Louis, MO) staining was performed to visualize lipid content and measure lesion size. Lesion size was measured using Nanozoomer 2.0RS (Hamamatsu, Japan). Briefly, lesion area was quantified by measuring the atherosclerotic plaque of the intima from the endothelial layer to the healthy media.
Brain:
Whole brains were fixed in 10% formalin and embedded in paraffin for histological sectioning. Brains were sectioned coronally and 6μm slices were collected. After deparaffinization and rehydration of the sections, antigen retrieval was performed and endogenous peroxidase activity was blocked by 3% H2O2 solution in dH2O. Immunohistochemistry was done to stain for hypocretin+ cells using an anti-hypocretin antibody (clone D6G9T, Cell Signaling, Danvers, MA) diluted in SignalStain Antibody Diluent (Cell Signaling, Danvers, MA) followed by biotinylated goat anti-Rabbit IgG antibody (Vector Laboratories, Burlingame, CA). The hypocretin+ cells were visualized using avidin/biotin-based peroxidase system, VECTASTAIN Elite ABC-HRP Kit (Vector Laboratories, Burlingame, CA) and AEC Substrate Chromogen (Dako/Agilent, Santa Clara, CA). The tissues were counterstained with Harris Hematoxylin (Sigma-Aldrich, St. Louis, MO) and all images were captured using Nanozoomer 2.0RS (Hamamatsu, Japan). Dynorphin+ cells were identified by staining with Dynorphin A antibody (ab82509, Abcam Cambridge, MA) and AF488 conjugated Hypocretin antibody (clone D6G9T, Cell Signaling, Danvers, MA). Dynorphin+ cells were detected using a biotinylated goat anti-rabbit IgG antibody and streptavidin DyLight 594 (Vector Laboratories, Burlingame, CA). The fluorescent images were captured using a motorized fluorescence microscope Olympus BX63 (Tokyo, Japan) and processed by FIJI/ImageJ software. Apoptotic cells were investigated using In Situ Cell Death Detection Kit, TMR Red (Sigma-Aldrich, St. Louis, MO), and nuclei were counterstained with DAPI (ThermoFisher Scientific, Waltham, MA).
Bone:
Femurs were harvested and fixed in 4% paraformaldehyde overnight and then scanned by μCT at the MGH Center for Skeletal Research Core (NIHP30AR066261). After scanning, femurs were decalcified in 0.375M EDTA in PBS for 10 days prior to paraffin embedding. Sections were cut and stained with anti-tyrosine hydroxylase antibody (Millipore, AB152).
Behavior Phenotyping.
Open Field Test.
Mice were individually placed in a white box (50cm × 50cm) for 5 minutes with ambient lighting and video recorded. The time the mouse spent within 5cm of the box edge was quantified.
Light-dark box test.
Mice were placed in a box in which half the box (25cm × 25cm) was black and blocked from light, while the other half was white and exposed to ambient lighting. A dividing wall with a small hole separated the two halves of the box but allowed mice to move freely between the two halves. Mice were video recorded for 5 minutes and the time spent in the white box quantified.
Y-maze.
Mice were allowed to explore two arms of the Y-maze for 5 minutes before being returned to their home cage. Twenty minutes later, mice were returned to the Y-maze and allowed to explore all three arms for 5 minutes while being video recorded. The time spent in the new arm was quantified. Quantification of behavior phenotype was done with ImageJ software.
Statistics.
Results are shown as mean ± s.e.m. Statistical tests included unpaired, 2-tailed nonparametric Mann-Whitney tests (when Gaussian distribution was not assumed). For multiple comparisons, nonparametric multiple comparisons test comparing mean rank of each group (when Gaussian distribution was not assumed), 1 or 2-way ANOVA followed by Turkey’s test. To analyze circadian rhythmicity, cosinor analysis was performed with the following equation: Y=Baseline+Amplitude*cos(Frequency*X+Phaseshift)43. P values of 0.05 or less were considered to denote significance.
Data availability
All relevant data are included in the paper and its Extended Data Figures.
Extended Data
Supplementary Material
Acknowledgements.
This work was supported in part by NIH grants R35 HL135752, R01 HL128264, P01 HL131478, an American Heart Association Established Investigator Award, and the Patricia and Scott Eston MGH Research Scholar (to F.K.S.); NIH grant R35 HL139598 (to M.N.); Swiss National Science Foundation grants 31003A_125323 and 31003A_144282 (to A.V.); a CIHR postdoctoral fellowship and a Banting postdoctoral fellowship (to C.S.M.); the doctoral program Cell Communication in Health and Disease (CCHD) funded by the Austrian Science Fund (to M.G.K); a Swedish Research Council postdoctoral fellowship (to S.R.); an American Heart Association postdoctoral fellowship (to S.H.); and a postdoctoral fellowship from the Fondation pour la Recherche Medicale (to C.V.); the German Research Foundation (DFG;331536185 to F.K. and DFG; 398190272 to W.C.P.); and a Boehringer-Ingelheim-Fonds MD fellowship (to L.H.). We thank Dr. A. Lichtman for providing the PCSK9 adenovirus, Dr. D. Scadden for providing stromal cell reporter mice, and K. Joyes for editing the manuscript.
Footnotes
Competing Financial Interests
None.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are included in the paper and its Extended Data Figures.