Abstract
Objective:
Hyperhomocysteinemia (HHcy) is a potent risk factor for diabetic cardiovascular diseases (CVD). We have previously reported that HHcy potentiates type 1 diabetes-induced inflammatory monocyte (MC) differentiation, vascular dysfunction, and atherosclerosis. However, the effects of HHcy on vascular inflammation in type 2 diabetes mellitus (T2DM) and the underlying mechanism are unknown.
Approach and Results:
Here, we demonstrate that HHcy was induced by a high methionine diet in control mice (homocysteine (Hcy) 129 μM), which was further worsened in T2DM db/db mice (Hcy 180 μM) with aggravated insulin intolerance. HHcy potentiated T2DM-induced mononuclear cell (MNC), MC, inflammatory MC (CD11b+Ly6C+), and M1 macrophage differentiation in periphery and aorta, which were rescued by folic acid-based Hcy-lowering therapy. Moreover, HHcy exacerbated T2DM-impaired endothelial-dependent aortic relaxation to acetylcholine. Finally, Transfusion of bone marrow cells depleted for Ly6C by lentivirus-Ly6C shRNA transduction improved insulin intolerance and endothelial-dependent aortic relaxation in HHcy+T2DM mice.
Conclusions:
HHcy potentiated systemic and vessel wall inflammation, and vascular dysfunction partially via inflammatory MC subset induction in T2DM. Inflammatory MC may be a novel therapeutic target for insulin resistance, inflammation, and cardiovascular complications in HHcy+T2DM.
Keywords: cardiovascular diseases, type 2 diabetes mellitus, hyperhomocysteinemia, vascular dysfunction, inflammatory monocyte
INTRODUCTION
Hyperhomocysteinemia (HHcy, plasma homocysteine (Hcy)>15 μM) is an independent risk factor for cardiovascular disease (CVD) 1, 2, which increased CVD-related mortality by 1.9-fold in type 2 diabetes mellitus (T2DM) patients 2. This deleterious effect happens in early atherosclerosis, when vascular cells become dysfunctional 3. Vascular dysfunction is characterized by abnormal vascular reactivity and it is featured by an impairment of vasodilatation and/or enhanced vessel constriction that are dependent on endothelial cells (EC) or smooth muscle cells. It has been shown previously that vascular function was impaired by ~20% in HHcy+T2DM patients when compared with T2DM alone4.
Possible mechanisms by which HHcy causes vascular dysfunction include 1) increased oxidative stress 5–8 by inhibiting antioxidant enzyme glutathione peroxidase (GPx-1) in mice 9, thus inactivating vasodilator nitric oxide (NO); 2) promoting inflammation by activating caspase-1 inflammasome and increasing monocyte (MC) adhesion to the aortic endothelium in rodents 10, 11; 3) inactivating endothelial nitric oxide synthase (eNOS) by accumulation of eNOS inhibitor asymmetric dimethylarginine (ADMA) in human, as well as by activating protein kinase C (PKC), negative upstream regulator of eNOS in animals12–14; and 4) reducing methylation by elevating methylation inhibitor s-adenosylhomocysteine in mouse study 15, thus affecting epigenetic regulation of relevant genes.
Meanwhile, multiple interrelated mechanisms have been proposed to explain the exacerbated vascular dysfunction in T2DM 16, 17. T2DM is a long-term metabolic disease that is characterized by hyperglycemia and insulin resistance. Hyperglycemia-stimulated protein acetylation as well as DNA hypomethylation of p66Shc facilitates its phosphorylation on serine 36 and translocation to the mitochondria, where it promotes oxidative stress 18, 19. In addition, insulin resistance specifically impairs phosphatidylinositol 3-kinase (PI3K)/Akt/eNOS signaling, while leaving other distinct nonmetabolic branches, such as insulin/endothelin-1 (vasoconstrictor)-signaling pathways, unaffected, causing NO reduction and vessel restriction, respectively 20, 21. Inflammation seems to be a key player that is involved in all these processes: advanced glycation end products/receptor (AGEs/RAGEs)/oxidative stress increases pro-inflammatory transcription factor (TF) NF-κB 22 and cytokine tumor necrosis factor (TNF) α 23, which activates NADPH oxidase 24 in T2DM db/db mice; TNFα also inhibits insulin-stimulated NO production in human 25. All of these pathophysiological changes could lead to vascular dysfunction, which significantly contributes to morbidity and mortality in T2DM 26, 27. Nevertheless, the molecular mechanisms underlying HHcy+T2DM-exacerbated macrovascular dysfunction remain poorly defined.
In our previous studies, we have demonstrated that aberrant inflammatory response is an underlying mechanism of HHcy+type 1 diabetes mellitus (T1DM)-accelerated atherosclerosis 28. We showed that inflammatory Ly6Chigh MC and TNF-α+ M1 macrophage (MØ) differentiation is increased in bone marrow (BM), peripheral blood, and spleen in HHcy+T1DM mice. Ly6Chigh MC belongs to one of three major MC subsets in mice, which are characterized by their differential expression levels of surface marker Ly6C, a glycosylphosphatidylinositol-anchored glycoprotein with undefined function 29. The Ly6Chigh MC subset is termed as inflammatory classical MC and the Ly6Cmiddle MC subset is termed as inflammatory intermediate MC, which is believed to be differentiated from Ly6Chigh MC 30. Both Ly6Chigh and Ly6Cmiddle MC are jointly described as Ly6C+ MC 31. By contrast, the Ly6Clow MC subset is termed as non-inflammatory nonclassical MC. Ly6Clow MCs patrol blood vessels and accumulate at inflammatory sites to remove debris 32, 33. All MC subsets can infiltrate into the vasculature and further differentiate into different MØ subsets in response to micro-environmental cues 34–36. Importantly, inflammatory MC could release pro-inflammatory cytokines, such as interleukin (IL)-1, IL-6, IL-8, TNFα, and monocyte chemoattractant protein 1 (MCP-1) 37–40, which contribute to vascular dysfunction. Several underlying mechanisms have been proposed in the past: these cytokines could increase the production of ROS 41. The produced ROS could in turn decrease bioavailability of NO, the key endothelium-derived relaxing factor, due to the reaction between NO and O2·− 42. Nevertheless, a causative role of inflammatory MC in mediating HHcy+T2DM-induced vascular dysfunction still remains to be proved 43–45. Thus, we hypothesized that inflammatory MC/cytokine/ROS mediate HHcy+T2DM-exacerbated macrovascular dysfunction.
In this study, we set out to investigate the role of inflammatory MC in mediating HHcy-induced vascular dysfunction in T2DM. We discovered that HHcy worsened vascular dysfunction in T2DM mice partially via promoting inflammatory MC differentiation.
RESEARCH DESIGN AND METHODS
The data that support the findings of this study are available from the corresponding author upon reasonable request.
HHcy and T2DM mouse models and diets —
We designed a basic diet as our control diet (CT) in which folic acid and B vitamins levels are reduced to the sufficient basal level [0.6 mg/kg folic acid, 0.03 mg/kg B12, 8.4 mg/kg B6, 5.6 g/kg (0.37%) methionine, catalog # 07793, Harlan Teklad] to increase Hcy’s response and sensitivity of future vitamin therapy 31. Supplement of methionine in the CT diet (high methionine (HM) diet, 19.56 g/kg (2%) methionine, 07794, Harlan Teklad) was used to induce severe Hcy in db/+ or db/db mice (8-week-old, the Jackson Laboratory) by feeding for 8 weeks. Supplement of folic acid, B6/12 vitamins in the HM diet (HM+HV diet, 6 mg/kg folic acid (10x compared with CT), 0.06 mg/kg B12 (2x), 16.8 mg/kg B6 (2x), 05374, Harlan Teklad) was used to rescue HHcy’s effects.
To increase susceptibility of inflammation response and to recapitulate pathophysiologic hyperlipidemia, a common complication in T2DM, we employed another set of high fat (42% kcal from anhydrous milkfat and cholesterol)-based diet: high fat (HF) diet (08028, Harlan Teklad), HF+HM diet (08029, Harlan Teklad) and HF+HM+HV (high vitamin) diet (08118, Harlan Teklad).
Db/+ mice served as non-T2DM controls. Db/db mice is a well-recognized T2DM model for they contain homozygous mutations of leptin receptor. All animals received humane care in compliance with institutional guideline and the “Guide for the Care and Use of Laboratory Animals” prepared by the “Institute of Laboratory Animal Resources, Commission on Life Sciences, National Research Council”. If not noted specifically, measured parameters were from both age and sex matched mice.
Metabolic parameters assessments —
At the end of experiments, the mice were placed in metabolic cages for 24h acclimation and the 24–48h metabolic parameters were collected, including water and food intake, urine excretion, and body weight changes. At the time of sacrifice, mouse body and major organ weight were recorded.
Plasma Hcy measurement —
At the end of experiment, blood was collected by cardiac puncture. The plasma (50 μL) was batched, frozen, and transported to Institute of Metabolic Disease (Dallas, TX) for Hcy measurements as previously described 46. Briefly, total Hcy levels were analyzed by liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS),
Blood glucose test, glucose tolerance test (GTT) and insulin tolerance test (ITT) —
Ten μl blood was collected from tail vein using HemoCue microcuvettes (HemoCue AB, Angelholm, Sweden) and then blood glucose levels were analyzed using a HemoCue Glucose 201 analyzer. For GTT, mice were fasted overnight with water provided ad libitum before the experimental day. Baseline glucose levels were assessed 2 hours prior to GTT. During GTT, blood glucose levels were monitored at 30, 60, 90, and 120 minutes after glucose injection (i.p. one dose, 2.0 g/kg body weight (BW)). ITT were performed after 4 h’s fasting (9 am to 1 pm) followed by insulin injection (i.p. one dose, 0.75 U/kg, Humalog, Lilly). During ITT, blood glucose levels were monitored at 0, 15, 30, 45, 60, and 120 minutes after insulin injection.
Peripheral immune cell profiling by flow cytometry analysis —
Mice were sacrificed and cells were isolated from peripheral blood, spleen and BM as described previously 31 and lyzed for red blood cells. Then these leukocytes were co-incubated with various antibodies: anti-CD11b-Brilliant Violet (BV) 421 (0.25 μg/100 μl), Ly6C-APC (0.25 μg/100 μl), F4/80-PE (0.125 μg/100 μl), TNFα-eFluor450 (0.125 μg/100 μl), mannose receptor (MR)-Alexa Fluor 647 (0.5 μg/100 μl), CD11c-BV510 (dendritic cell (DC) marker) (0.25 μg/100 μl), Ly6G-APC/Cy7 (granulocyte marker) (0.25 μg/100 μl), CD4-PE/Cy7 (0.125 μg/100 μl), CD8-APC/Cy7 (1 μg/100 μl), NK1.1-BV421 (natural killer (NK) cell marker) (0.25 μg/100 μl), Ter119-BV510 (erythroblast marker) (0.35 μg/100 μl), and/or Foxp3-APC monoclonal antibodies (1 μg/100 μl) (BD Pharmingen™, San Diego, CA), and examined on a LSRII analyzer (BD Biosciences). For every flow cytometry analysis described in this study, cells from wild type (WT) mice were incubated with matched individual Ab isotypes and titrated with different doses of Ab to establish the voltage and compensation. Data were analyzed using FlowJo software (Tree Star Inc., Ashland, OR). First, live cells were identified after excluding red blood cells. Inside the “live” gate, we defined DCs as CD11c+ cells, granulocytes as Ly6G+, T helper cells (Ths) as CD4+, cytotoxic T cell (Tcs) as CD8+, NKs as NK1.1+, erythroblasts as Ter119+, and regulatory T cells (Tregs) as CD4+Foxp+ cells (Fig. 3A). Mononuclear cells (MNCs) were selected by distinguishing MNC from granulocytes and lymphocytes with their lower granular content, as reflected in lower side-scatter light (SSC), and their larger cell size, as reflected in higher forward scatter light (FSC) (FSChighSSClow; Fig. 4A). MC were further defined as CD11b+ MNC, which were then divided into three subgroups based on their Ly6C expression levels (low, middle and high, Fig. 4A). M1 MØs were defined as F4/80+TNF-α+ cells, while M2 MØs were defined as F4/80+MR+ cells (Fig. 7B).
Vessel wall single cell suspension and immune cell analysis by flow cytometry analysis —
Mice were deep-anesthetized at the end of experiment and their vasculature were perfused by cardiac puncture with PBS containing 20 U/ml heparin to remove blood cells from all vessels. The aortas were collected and digested as previous described 31. Briefly, aortas, free of adipose tissue, were collected and weighed to control the total collected amount. The harvested aortas were minced with scissors and digested with 125 U/ml collagenase type XI, 60 U/ml hyaluronidase type I, 60 U/ml DNase1, and 450 U/ml collagenase type I in PBS containing 20 mM HEPES at 37°C for 45 minutes. Aortic cell suspensions were obtained by mashing the aorta through a 70 μm cell strainer for flow cytometry analysis. Cells were first stained with live/dead-blue dye for 30 minutes at room temperature to exclude dead cells. Then the cells were washed and co-incubated with four monoclonal antibodies: CD11b- BV421, Ly6C-APC, F4/80-PE, and CD45-APC/Cy7 (leukocyte marker) (0.25 μg/100 μl) (BD PharmingenTM, San Diego, CA) for 15 minutes in dark at 4°C. Flow cytometry analysis was performed on a LSRII analyzer (BD Biosciences). Data were analyzed using the FlowJo software (Tree Star Inc., Ashland, OR).
Plasma lipid profile analysis —
Blood was obtained from fasted mice. Plasma was separated (3,000g for 20 min) and collected for lipid profile analysis. Plasma total cholesterol (C), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), and triglyceride (TG) were analyzed at the National Mouse Metabolic Phenotyping Center at the University of Massachusetts by Cobas Clinical Chemistry Analyzer (Roche) 28.
Measurements of plasma TNF-α, IL-18 and MCP-1 levels —
Commercial assays (TNF-α, IL-18 and MCP-1 ELISA Kits; Invitrogen) were used per the manufacturer’s instructions.
Electron paramagnetic resonance (EPR) measurements of mouse plasma ROS —
Krebs Hepes Buffer (KHB) were prepared freshly (using bi-distilled water) and filtered (0.22 μm). Ten mM stock solution of the CMH spin probe, 1-hydroxy-3-methoxycarbonyl-2,2,5,5-tetramethylpyrrolidine (CMH) (Enzo, Farmingdale, NY), was also freshly made and dissolved in KHB containing 25 μM deferoxamine methanesulfonate salt (DF) (Sigma, St. Louis, MO) and 5 μM sodium diethyldithiocarbamate trihydrate (DETC) (Sigma, St. Louis, MO) under constant bubbling of N2 (gas), to keep an oxygen free atmosphere. Oxidation of CMH leads to the formation of the paramagnetic 3-methoxycarbonyl-proxyl nitroxide (CM•) 47 which could be detected by EPR.
For preparation of mouse plasma with spin probe, 50 μl plasma samples were mixed in 45 μl oxygen free KHB and added to a micro centrifuge tube with cap. Then, 5 μL oxygen-free spin probe (10 mM CMH) was added to have a final concentration of 500 μM CMH. The mixture was measured immediately.
EPR spectra were acquired on a Bruker EMX X-band spectrometer in perpendicular mode at room temperature using glass capillary tubes as sample holders. The spectrometer settings were: 9.642334 GHz microwave frequency, 6.362e-001 mW microwave power, 100.000 kHz Mod. Frequency, and 5.000 G Mod. Amplitude. No EPR signal could be detected for the empty sample tube or from PBS. The recorded EPR spectra were imported into analysis software WinEPR and the EPR signal intensity was determined as peak-to-peak height in the first derivative spectrum.
RNA sequencing in MC subsets —
We sequenced RNA in mouse CD11b+Ly6G−Ly6Chigh and CD11b+Ly6G−Ly6Clow MCs sorted from WT whole blood. Sorted cells (200,000/MC subset) were collected in 1400 μl QIAzol Lysis Reagent (Qiagen, Germantown, MD) and total RNA (50–100 ng) was isolated manually per manufacturer’s protocol. RNA quality check was done on an Agilent Bioanalyzer 2100 by pico RNA chip for RNA integrity number (RIN). Next-Gen Sequencing (NGS) Unit at Fox Chase Cancer Center amplified cDNA from RNA, and constructed cDNA libraries by ribosomal cDNA depletion using takara pico-input kit. Pooled samples were run in duplicate simultaneously on an Illumina HiSeq2500 sequencer and each run generated 50-bp single-end reads. Overall, we obtained around 40 million reads per sample.
RNAseq data analysis was carried out using the statistical computing environment R, the Bioconductor suite of packages for R, and RStudio. Raw FASTQ files were aligned on the murine GRCm38 (mm10) genome, background-subtracted, variance-stabilized, and normalized by robust spline normalization. Differentially expressed genes were identified by linear modeling and Bayesian statistics using the Limma package. Using the Benjamini-Hochberg, probe sets that were differentially regulated (fold change (FC)≥2, p<0.05) were controled for multiple testing method. Clusters of coregulated genes were identified by Pearson correlation using the hclust function of the stats package in R. They were further used for heat map generation in R.
Vascular reactivity/function assessment —
Mice were sacrificed under anesthesia. Aorta was removed and prepared for vascular reactive assessments (vascular dysfunction is the initial events in atherogenesis and a more sensitive function readout) as we previously described 14. Vascular contractile responses were assessed after an equilibration period in Krebs buffer (aerated with O2 and containing 119 mM NaCl, 4.7 mM KCl, 1.0 mM MgSO4·7H2O, 1.2 mM KH2PO4, 25.0 mM NaHCO3, 11.1 mM glucose and 2.5 mM CaCl2). Aortic rings were exposed to potassium chloride (KCl, 120 mM) followed by a second round of washing and equilibration with Krebs. Then, vascular responses to cumulative addition of phenylephrine (10 nM to 33 μM) were determined as vascular contractility 14, 48. Endothelium-dependent vascular relaxation was determined in the aortic ring with intact endothelium in response to cumulative concentrations of acetylcholine (ACh) (10 nM to 33 μM). The aortic ring was pre-contracted with phenylephrine (1 μM) as described previously 14, 48. Endothelium-independent vascular relaxation was determined in the aortic ring in responses to sodium nitroprusside (SNP, 1 nM to 10 μM) pre-contracted with phenylephrine (1 μM) 14, 48.
Ly6C therapy using lentivirus (LV) transduction in BM cell and BM Transplantation (BMT) —
BM was collected from the femurs of WT CD45.1 mice for Ly6C deletion and used as BMT donor cells. Ly6C deletion was achieved by LV-Ly6c-shRNA transduction (LV-shLy6c A/B/C/D, targeting on 4 different regions of Ly6c mRNA: TL513893A-GCAGTTACCTGCCGCGCCTCTGATGGATT, TL513893B-CACTACAAAGTCCTGTGTGCTCATTCTTC, TL513893C-GAGAGGACTTCCTGTTGCAGCGAAGACCT, TL513893D-AGCTCAGTCGTCCTGCAGACCTTGCTCTG, Origene, Rockville, MD). Viral particles were packaged and titrated in Dr. Joseph Rabinowitz’s laboratory. Briefly, BM cells were collected after red blood cell lysis and transduced with LV-shLy6c by a multiplicity of infection (MOI) of 0.2. Viral transductions were performed in modified Eagle medium plus 10% fetal bovine serum in the presence of 5 μg/mL polybrene for 1 h. Then BM cells were washed with PBS and transplanted via retroorbital injection (1×107 cells/mouse) 2–3 hours after irradiation into recipient mice. The recipient mice (female or male; age, 8 weeks; CD45.2 db/db mice) were irradiated with 900 centigray using x-ray irradiation to partially remove endogenous BM cells (56% CD45.2 chimeras) due to vulnerability of irradiation death in db/db mice 49. Ly6C deletion was confirmed in BM cells 48 hours after viral transduction. The recipient mice were fed a HF+HM diet 1 month after BMT for another 8 weeks. BM reconstitution was confirmed at the end of the study for each mouse with flow cytometry analysis for CD45.1-BV786 (0.25 μg/100 μl), CD45.2-BUV395 (0.25 μg/100 μl), CD11b and Ly6C expression in peripheral blood.
Insulin immunohistochemistry staining in mouse pancreas —
For characterization of insulin secretion, mouse pancreases were embedded, sectioned and stained for insulin and hematoxylin in NDBbio, LLC. After mounting, sections were analyzed with a microscope (Axioskop 2 plus, Carl Zeiss) using 20x air objectives.
Oil Red O staining for atherosclerotic lesion analysis —
Mouse aortic sinuses were sectioned, stained with Oil Red O, and quantified the aortic lesion area as previously described 31.
Chemicals —
All chemicals, if not specified above, were purchased from Sigma-Aldrich (St. Louis, MO).
Statistics —
Data were expressed as the mean ± standard error of the mean (SEM) throughout the manuscript. For comparisons between two groups, two-tailed Student t test was used for evaluation of statistical significance or, when the data were not normally distributed, a nonparametric Mann-Whitney U test was used. For comparisons across multiple groups, one-way ANOVA with Bonferroni post-test adjustment was used or, when the data were not normally distributed, the data were analyzed using one-way ANOVA with the Kruskal-Wallis test, followed by pairwise comparison using the Dunn test. A probability value p < 0.05 was significant.
RESULTS
T2DM worsened HHcy, and HHcy aggravated insulin intolerance —
Amino acid Hcy level was dramatically induced by HF+HM diet (plasma total Hcy 129±40 μM) in male db/+ mice and it was further increased to 180±31 μM in male db/db mice (Fig. 1A, p<0.01). Vitamin therapy largely reduced plasma Hcy level from 129±40 to 42±7 μM in male db/+ mice, and from 180±31 to 87±22 μM in male db/db mice, indicating the effectiveness of the treatment. Blood glucose level was significantly higher in male db/db mice (589±26 mg/dl) than that in male non-diabetic db/+ mice (172±2 mg/dl) (Fig. 1B). HHcy did not further increase blood glucose levels in either male db/+ mice (170±3 mg/dl) or female db/db mice (591±20 mg/dl). Similar changes in Hcy and glucose levels were also observed in female mice (Fig. 6A–C). Vitamin therapy reduced blood glucose level from 591±20 to 476±37 mg/dl in male db/db mice. Moreover, HHcy aggravated insulin intolerance in db/db mice (Fig. 1C, p<0.05). However, HHcy did not change insulin intolerance in db/+ mice, and it also had no effect on glucose tolerance in both groups (Fig. 1D).
In general, plasma lipid levels, including cholesterol (C), HDL-C, LDL-C, and TG, were elevated in db/db mice and they were not significantly changed by either HHcy or vitamin-based Hcy-lowering therapy (Figs. 1E–H). Other key parameters of diabetes, which include hyperphagia (increased food intake), polydipsia (increased water intake), and polyuria (increased urine excretion) were also evident in db/db mice and they were not further changed by either HF+HM diet-induced HHcy or vitamin therapy (Figs. 1I–K). Notably, HHcy reduced body weight in db/+ (2.5-fold) and db/db mice (1.3-fold), which was normalized by vitamin therapy (Fig. 1L). Taken together, these results indicated that metabolic disorder and HHcy reciprocally aggravate each other during the development of T2DM in mice.
T2DM induced heart, liver, and kidney weights, and severe HHcy increased spleen weight in male T2DM —
Heart, liver, and kidney weights were all increased in male db/db mice on HF diet (134%, 327%, and 169% compared with that in db/+ mice, respectively), and they were not changed by HF+HM or HF+HM+HV diet (Figs. 2A–C). Neither T2DM nor HHcy significantly changed male pancreas weights (Fig. 2D), while T2DM slightly reduced male brain weight by 0.9-fold (Fig. 2E). Importantly, HF+HM diet-induced HHcy drastically increased spleen weight from 0.061±0.007 to 0.134±0.033 (266%) in male db/db mice, indicating an aberrant splenic cell enrichment that was caused by HHcy during T2DM (Fig. 2F).
Similarly, heart and liver weights were increased in female db/db mice on HF diet (145% and 364% compared with that in db/+ mice, respectively), without further changes in HF+HM or HF+HM+HV group (Figs. 2H–I). Other major organ (kidney, pancreas, brain and spleen) weight were not significantly changed by T2DM nor HHcy in female mice (Figs. 2J–L).
Severe HHcy exaggerated T2DM-induced systemic inflammation —
Since we observed heavier spleen (splenomegaly) by HHcy in db/db mice, we profiled major splenic cell populations as illustrated by Fig. 3. HHcy+T2DM did not affect DC, granulocyte, CD4+ T cell (TC), CD8+ TC, NK cell, erythroblast or Treg percentages in mouse spleen.
Therefore, we hypothesized that MC population, which constitutes ~10% of mouse spleen, might be induced by HHcy in T2DM. To test this hypothesis, we examined MC profiles in the BM, peripheral blood, and spleen of db/+ and db/ db mice that were fed with CT, HM, or HM+HV diet. We found that HHcy did not show any effect in regulating different MC populations in BM, as characterized by their surface maker Ly6C. However, severe HHcy increased inflammatory Ly6Chigh MC by 2.34-fold in db/+ mice, and synergistically further increased Ly6Chigh MC by a whopping 7.36-fold in db/db mice in the blood (Figs. 4A–C). Similarly, HHcy increased inflammatory Ly6Cmiddle MC by 1.44-fold in db/+ mice, and synergistically further increased it by 6.61-fold in db/db mice in the same tissue. In the spleen, we observed similar effects of HHcy in exaggerating T2DM-induced inflammatory Ly6Cmiddle and Ly6Chigh MC. By contrast, Ly6Clow population was not significantly affected by HHcy or T2DM in any of the tissues tested.
HHcy are frequently associated with hyperlipidemia in T2DM patients 50. To better recapitulate pathophysiologic hyperlipidemic T2DM and consolidate our findings, we examined MC populations again in db/+ and db/db mice fed with HF, HF+HM or HF+HM+HV diet. We found that severe HHcy increased the mononuclear (MNC) population from 14% to 20% in BM, and 6% to 8% in spleen of live white blood cells of male db/+ mice (Figs. 5A–C). In male db/db T2DM mice, severe HHcy increased the MNC population from 16% to 21% in BM, 1% to 3% in blood, and 6% to 9% in spleen. In addition, vitamin-based Hcy-lowering therapy completely reversed the effects of HHcy on MNC induction in all three tissues. Similar effects were observed on the CD11b+ MC population, which showed that T2DM and HHcy synergistically increased MC populations in blood and spleen, which was rescued by vitamin-based Hcy-lowering therapy (Fig. 5D). Consistent with the previous findings on MC subsets (Fig. 4), we observed increased inflammatory Ly6Cmiddle/ Ly6Chigh MC in all three peripheral tissues when comparing male db/db mice with male db/+ mice (Fig. 5E). All these HHcy-induced phenotypes were normalized by vitamin-based Hcy-lowering therapy in both male db/+ and male db/db mice.
In female mice, increased inflammatory Ly6Cmiddle+high MC was observed in spleen when comparing db/db mice with db/+ mice (Fig. 6D). Moreover, HHcy+T2DM synergistically increased Ly6C+ MC in BM (Ly6Cmiddle from 18% to 30% of MNC), peripheral blood (Ly6Chigh from 3% to 9%, Ly6Cmiddle from 9% to 18%) and spleen (Ly6Chigh from 5% to 13%). Db/db mice had HV-normalized inflammatory MC phenotypes in blood and spleen.
Since MC can be polarized to MØ, which is a key mediator of tissue inflammation, we assessed MØ polarization potential by priming leukocytes with lipopolysaccharides (Fig. 7A). The results showed that T2DM cells had increased M1 MØ (F4/80+TNF-α+) polarization by 2.46- and 2.20-fold in blood and spleen, respectively (Figs. 7B–C). Severe HHcy increased MC-derived M1 MØ by 3.86-fold in db/+ mice and synergistically elevated it by 2.64-fold in db/db mouse peripheral blood. In the spleen, severe HHcy increased M1 MØ by 2.01-fold in db/+ mice and further elevated it by 1.55-fold in db/db mice. In contrast, T2DM reduced M2 MØ (F4/80+MR+) polarization by 0.58-, 0.54-, and 0.59-fold in BM, blood, and spleen, respectively (Fig. 7D). Severe HHcy decreased MC-derived M2 MØ by 0.77-fold in db/+ mice and further reduced it by 0.83-fold in db/db mouse BM. In the spleen, severe HHcy reduced M2 MØ by 0.70-fold in db/+ mice. Folic acid-based Hcy-lowering therapy largely reversed HHcy-induced M1 polarization and HHcy-suppressed M2 differentiation.
T2DM exacerbated vascular inflammation in HHcy mice —
Next, we hypothesized HHcy-induced systemic inflammatory monocyte differentiation could contribute to vascular inflammation in T2DM mice. To test this hypothesis, we performed single cell suspension of aortic cells and studied their MC and MØ populations (Fig. 7E). The results showed that HHcy decreased aortic live cells from 79 to 65% (Fig. 7F). Moreover, HHcy appeared to slightly increase aorta MC population (Fig. 7G). Importantly, HHcy dramatically induced aortic inflammatory Ly6C+ MC population by 2.90-fold in db/+ mice, and further induced it by 4.24-fold in db/db mice, which were completely normalized by vitamin-based Hcy-lowering therapy in both mouse groups (Fig. 7H). T2DM did not change aorta Ly6C− MCs, total leukocyte and MØ populations (Figs. 7I–K).
HHcy and T2DM synergistically increased TNF-α and ROS in mouse plasma —
Previously, we reported that Ly6C+ MCs secrete large amount of ROS as well as pro-inflammatory cytokines (TNF-α, IL-18 and MCP-1) in the presence of HHcy and hyperglycemia 28. To detect these deleterious factors in the setting of HHcy and T2DM, we collected plasma from 5 mice each group and compared the results. The db/db mice on HM diet had higher TNF-α plasma levels compared with db/db mice on CT diet (Fig. 8A). Neither HHcy nor T2DM changed mouse plasma IL-18 or MCP-1 levels (Figs. 8B–C). EPR measurements showed HHcy and T2DM increased ROS levels in mouse plasma (Figs. 8D–E). Thus, we proposed that inflammatory MC contribute to systemic and vascular inflammation by secreting ROS and TNF-α.
Severe HHcy impaired endothelium-dependent vascular relaxation to ACh in T2DM —
T2DM increased aortic vascular contraction to phenylephrine and impaired endothelium-dependent vascular relaxation responses to accumulative concentrations of ACh (Figs. 9A–B). On the contrary, T2DM had no effect on endothelial-independent vascular relaxation to SNP (Fig. 9C). Notably, Severe HHcy increased vessel contraction to phenylephrine by 68% and 90%, and impaired endothelium-dependent vascular relaxation to ACh by 27% and 72%, in db/+ and db/db mice, respectively. Moreover, HHcy had no effect on vascular relaxation to SNP in both mouse groups. Vitamin therapy also did not rescue HHcy’s effects in either mouse groups. This HHcy+T2DM-impaired vascular dysfunction could be attributed by inflammatory MC-secreted TNF-α 51 and ROS 51.
Furthermore, early atherosclerotic lesion formation (8 weeks diet) were absent on aortic sinus cross-sections stained with Oil Red O staining (Supplemental Fig. I). Thus, HHcy exaggerated T2DM-induced impairment of endothelium-dependent vascular relaxation, presumably due to increased inflammatory monocyte differentiation and secreted TNF-α/ROS factors.
HHcy+T2DM might promote Ly6C+ MC via upregulation of TF CEBPα —
To investigate the mechanisms underlying HHcy+T2DM-induced inflammatory MC differentiation, we performed RNA Sequencing experiment from sorted WT mouse blood CD11b+Ly6G−Ly6Chigh and CD11b+Ly6G−Ly6Clow MC (Figs. 10A–B). Comparison of gene expression profiles between Ly6Chigh and Ly6Clow MC showed that Ly6Chigh MC contained 1,776 significantly upregulated genes (FC≥2, p<0.05), 9 of which are TFs (Mitf, Ahr, Fos, Maf, Cebpa, Irf7, Cebpd, Notch1, Zfp358) (Fig. 10C). Furthermore, we identified only CEBPα has 2 potential binding sites (−957/−952, −236/−231) in 2 core promoter regions (−1348/−947, −348/454) on the Ly6c gene promoter region (http://useast.ensembl.org/Mus_musculus/Gene/Regulation?g=ENSMUSG00000079018;r=15:75044018-75048830;redirect=no), one in each promoter (Fig. 10D). This implies that CEBPα is a potential TF responsible for Ly6Chigh MC differentiation. To further confirm this hypothesis, we examined CEBPα expression in blood Ly6C+ MC of HHcy+T2DM mice and observed a 408% and 921% increase in CEBPα+ cell population in Ly6C+ MC of HHcy and HHcy+T2DM, respectively (Figs. 10E–F). Therefore, we hypothesized that CEBPα-mediated Ly6c transactivation is a potential mechanism for Ly6Chigh MC induction in HHcy and HHcy+T2DM mice.
Ly6C knockdown partially rescued T2DM+HHcy-induced inflammatory MC differentiation and vascular dysfunction —
Since inflammatory cytokine 52 and ROS 53 play key roles in the pathogenesis of vascular dysfunction, and they are the main products from inflammatory MC (Fig. 8), we hypothesized that enhanced inflammatory monocyte differentiation could contribute HHcy-worsened vascular dysfunction in T2DM mice. To test this hypothesis, we evaluated the effects of depleting Ly6C on MC using four Ly6c-shRNAs (shLy6c-A/B/C/D) on lentiviral vectors (Fig. 11A). We selected LV-shLy6c-D as our depleting vector since it resulted in a 72% of depletion of Ly6C expression in isolated BM cells with 48-hour lentivirus transduction (Figs. 11B–C). Next, we utilized BMT to determine the role of Ly6C knockdown of BM cells on vascular relaxation responses (Figure 11D). Briefly, after irradiation, recipient CD45.2+ db/db B6 mice were injected with CD45.1+ LV-scramble or LV-shLy6c transduced BM cells and they were fed with 8-week HF+HM diet after 4-week post-BMT recovery. Due to the high vulnerability of irradiation death in db/db mice (Fig. 11E), we used a semi-lethal irradiation dose (900 centigray) in the recipient db/db mice with CD45.2 background and achieved 56.7±0.8% chimerism of the donor CD45.1 blood population (Fig. 11F). Interestingly, LV-shLy6C-D transduction had no effects on CD45.1 cell survival (Fig. 11G) and immune cell profile (Figs. 11H–I). However, it drastically reduced donor origin CD45.1 Ly6Chigh DC population from 1.4% to 0.3% (80% reduction), Ly6Chigh granulocyte from 13% to 2% (82% reduction), Ly6Chigh MC from 36% to 4% (81% reduction) and CD45.2 Ly6Chigh DC population from 6% to 1% (79% reduction), Ly6Chigh granulocyte from 18% to 4% (77% reduction) and Ly6Chigh MC from 42% to 5% (88% reduction) in mouse blood (Figs. 11J–K). Ly6C plays a role in promoting DC 54 /MC 55 inflammation as well as granulocyte migration 56. Thus, removing these subsets might explain the protective effects from LV-shLy6c. Most importantly, depletion of Ly6Chigh cells significantly improved insulin intolerance (Fig. 12A) and increased vessel relaxation from 50% to 71% in db/db mice on HF+HM diet (Fig. 12B). Moreover, mouse pancreas sections showed increased insulin+ area from LV-receiving group, indicating improved islet β-cell function (Fig. 12C). This result might explain the ameliorated insulin tolerance.
DISCUSSION
HHcy and T2DM have a combined accelerating effect on endothelial dysfunction in patients 4, but its underlying mechanism is unclear. Therefore, in this study, we examined the effects of HHcy+T2DM in inflammatory MC/MØ differentiation, lipid/glucose metabolism, and vascular function in a mouse model. We have made the following key findings: (1) Metabolically, T2DM synergistically worsened Hcy metabolism, and HHcy worsened insulin intolerance; (2) Combination of HHcy and T2DM led to splenomegaly; (3) HHcy promoted inflammatory MC differentiation in spleen and blood in T2DM mice; (4) HHcy+T2DM’s effect on inflammatory MC induction was more pronounced under hyperlipidemia condition; (5) HHcy increased MNC, MC, and inflammatory MC populations in BM, blood, and spleen, and promoted inflammatory M1 MØ differentiation in the blood and spleen of T2DM mice, which were reversed by folic acid-based Hcy-lowering therapy; (6) HHcy promoted vascular inflammation and endothelial dysfunction in T2DM mice. HHcy increased inflammatory MC in the aorta and exacerbated impaired endothelium-dependent aortic relaxation in T2DM mice, presumably due to increased TNF-α and ROS production; (7) HHcy and T2DM might promote Ly6C+ MC via upregulation of CEBPα; and (8) Transfusion of BM cells with Ly6Chigh cell depletion by LV-shLy6c improved insulin tolerance and endothelial-dependent aortic relaxation in HHcy T2DM mice.
Our current study provided new information on the pathological crosstalk between HHcy and glucose metabolism. We presented here that T2DM further increased blood Hcy levels in db/db mice fed with a HF+HM diet, and that HHcy reciprocally worsened insulin intolerance. This is consistent with the findings we previously reported from STZ-induced hyperglycemia Cbs−/− mice and in db/db T2DM fed with a HM diet 3, 14, 28. The crosstalk between T2DM and HHcy reveals the pathological connection between these two metabolic disorders and might explain why HHcy elevated mortality in T2DM patients 2. Thus, metabolic normalization on HHcy, such as Hcy-lowering therapy, might benefit both T1DM and T2DM patients.
Similarly, we discovered an aberrant crosstalk between HHcy and lipid metabolism. Eight-weeks of HM diet, increased plasma Hcy levels to 31 μM in db/+ control mice, and to 48 μM in db/db T2DM mice 3. However, with lipid enrichment, 8-weeks of HF+HM diet increased plasma Hcy levels to to 129 μM in db/+ control mice, and 180 μM in db/db T2DM mice. HF+HM diet further promoted inflammatory response in all peripheral tissues in mice. For example, BM inflammatory MC increase was only observed in db/+ and db/db mice on HF+HM diet, but not in mice fed a HM diet. The short period of lipid enrichment (8w) impaired endothelial-dependent vessel relaxation in db/db T2DM mice, but it did not introduce atherosclerotic lesion in the aortic sinus, a phenotype that is usually observed in wild type C57/B6 mice with at least 20 weeks HF diet supplement.
We observed a splenomegaly phenotype in HHcy T2DM mice, but not in mice with single HHcy or T2DM metabolic disorder. This result suggests that spleen-related immune response plays a key pathological role in HHcy+T2DM mice. The splenomegaly phenotype may be explained by synergistically increased MC and inflammatory MC populations in HHcy and T2DM mice since we did not observe other cell population changes (Figs. 3&4). The mechanism underlying this synergistic inflammatory MC response is still under investigation. Three TFs, PU.1, IRF8 and Kruppel-like factor 4 (KLF4), have been implicated in inflammatory MC differentiation in steady state 57. PU.1 is critical for early steps myeloid development 58 and overexpression of PU.1 leads to activation of IRF8 and KLF4 59, 60 and inflammatory MC differentiation. In hyperglycemia condition, it was shown that S100A8/S100A9 and RAGE regulate common myeloid progenitor cells, leading to enhanced proliferation and releasing of inflammatory MCs 61. Furthermore, we have previously demonstrated that HHcy and hyperglycemia could individually and synergistically increase inflammatory MC differentiation via DNA hypomethylation-related mechanisms 28. Here, we demonstrated that CEBPα might be the potential TF responsible for the upregulated inflammatory MC in T2DM+HHcy mice (Fig. 10). Future experiments are needed to further consolidate CEBPα or other regulators in mediating inflammatory MC subset differentiation in physiologic and pathologic responses.
Endothelium-dependent aortic vessel relaxation to ACh was impaired in HHcy+T2DM mice (Fig. 9). In the current study, we observed that HHcy+T2DM induced aortic inflammatory MC differentiation (Figs. 4–6), which correlates with increased plasma levels of TNFα and ROS (Fig. 8). TNF-α can intensify oxidative stress in an NADPH oxidase (Nox)-dependent manner 62. Thus, increased TNFα and ROS might indicate augmented Nox expression and activity 63. Nox leads to oxidation of tetrahydrobiopterin, a critical cofactor for the eNOS, and in tetrahydrobiopterin’s absence eNOS becomes “uncoupled,” producing more ROSs rather than NO 64. This decreased NO production from eNOS potentially mediate impaired endothelium-dependent vasodilation that is observed in the aortas of db/db mice on HF+HM (Fig. 9B).
We used LV-shLy6c transduction in WT donor BM cells to knockdown Ly6C. BMT in recipient CD45.2 db mice resulted in 50–60% of CD45.1 chimerism (Fig. 11F), and effectively depleted donor-origin Ly6Chigh MCs (CD45.1) by ~90% in vivo (Fig. 11K). It is likely that the vanished Ly6Chigh MC population is converted to Ly6Cmiddle and Ly6Clow MC. The partial reduction of recipient-origin Ly6Chigh MCs (CD45.2) may be explained by the viral particles that are released from donor cells, which subsequently transduced nearby recipient Ly6Chigh MCs and hematopoietic progenitor cell, as suggested in previous study 65.
Similar Ly6C reduction was also observed in DC and granulocytes (Fig. 11K). Indeed, expression of Ly6C is not only expressed on MCs, but also found on DCs, granulocytes, CD8+ TCs 66, NK cells 67, and CD4+ TCs including Tregs 68. As is the case for MC, other immune populations can be subdivided into Ly6C+ and Ly6C− subsets with distinct functions and physiological roles. For example, Ly6C+ DC is characterized as inflammatory DC 69. In granulocyte, Ly6C has a potential role in migration and activation as it interacts with relevant protein Fgr, a member of the Src family of tyrosine kinases. In CD8+ cytotoxic TCs, specific Ly6C monoclonal antibody could induce proliferation, activation, homing and migration. Ly6C+ NK cells are in an inert state as evidenced by the production of lower levels of IFN-γ and granzyme B, and they exhibit poorer proliferative potential than Ly6C− NK cells. CD4+Ly6C+ TCs have highly differentiated effector with more cytokine production and effector molecules 70. Ly6C+ Tregs marks for a lower degree of activation, proliferation, and differentiation status as well as functional incompetence. Therefore, the beneficial effects from LV-shLy6c could possibly be resulted from Ly6C deletion in other cell types as well.
We found that insulin intolerance and vascular dysfunction were both partially improved via Ly6C knockdown (Fig. 12), which might be attributable to Ly6C reduction in the immune cells and better responding pancreatic β cells since we observed increased insulin secretion. The un-rescued vascular function could be due to other immune cell differentiation and the non-corrected pathological conditions (insulin resistance, hyperhomocysteinemia, hyperglycemia, hyperinsulinemia, etc.) in the recipient mice. Interestingly, insulin tolerance and endothelial-dependent relaxation to ACh were not only improved in LV-shLy6c BM receiving mice, but also in LV-scramble shRNA BM receiving mice. This better basal vascular relaxation responses might be due to the benefit from healthier WT donor cells, which is in good accordance with previous findings which showed that BMT of WT cells corrected obese and hyperglycemia conditions in db/db mice 71.
Our data further confirmed that folic acid-based Hcy-lowering therapy is beneficial for systemic and vascular inflammation in diet-induced severe HHcy and db/db T2DM mice. We have previously shown that folic acid could also rescue HHcy-induced atherosclerotic lesion, plasma inflammatory cytokine increase, and blood and vessel inflammatory MC accumulation in Ldlr−/−Cbs−/+ mice fed a HM diet 31. In in vitro experimental model, we also found that folic acid treatment reversed Hcy-induced Ly6Chigh differentiation in primary mouse splenocytes 31. Further, folic acid-based Hcy-lowering therapy lowered risk of stroke, myocardial infarction or death in secondary prevention trials, including VITATOPS 72, VISP 73, HOPE2 74, and primary prevention trial CSSPT 75, 76. Mechanistically, folic acid is a key source for Hcy remethylation, which release metabolic pressure from cellular hypomethylation, a critical mechanism for CVD and other degenerative diseases 77, 78. Considering the dramatic benefits of folic acid-based Hcy lowering therapy in the double metabolic disordered mice in this and our previous studies 31, folic acid-based Hcy lowering appears to be an effective therapy for the treatment of inflammatory response and CVD in patients with multiple risk factors.
In conclusion, our study is the first to demonstrate the causative effect of HHcy in promoting systemic/vascular inflammatory Ly6C+ MC differentiation, and Ly6C+ cell-dependent endothelial dysfunction and insulin resistance in T2DM. We propose that inflammatory Ly6C+ MC is a novel therapeutic target and that folic acid-based Hcy lowering could serve as an effective therapy for patients with combined metabolic disorders, including HHcy, hyperlipidemia, hyperglycemia, and hyperinsulinemia.
Supplementary Material
Highlights.
HHcy promotes systemic/vascular inflammatory MC differentiation in T2DM
HHcy worsens inflammatory MC-dependent endothelial dysfunction and insulin resistance in T2DM
Folic acid-based Hcy lowering and LV-shLy6C are effective therapies to reduce inflammatory MCs in HHcy+T2DM
ACKNOWLEDGMENTS
a) Acknowledgments: We thank Dr. Michael J. Zdilla for providing EPR machine in plasma ROS measurement. We also thank Dr. Joseph Rabinowitz for viral particle packaging and titration.
b) Sources of Funding: This work was supported in part by the NIH grants HL67033, HL77288, HL82774, HL-110764, HL130233, HL131460, DK104114 and DK113775 to Hong Wang, HL132399, HL138749 to Xiao-Feng Yang, T32 Hematopoiesis Training Grant 5T32DK007780 to Xinyuan Li, and AHA SDG 17SDG33671051 to Pu Fang.
Abbreviations:
- ACh
acetylcholine
- BM
bone marrow
- BMT
bone marrow transplantation
- C
cholesterol
- CT
control
- CVD
cardiovascular diseases
- DC
dendritic cell
- eNOS
endothelial nitric oxide synthase
- Hcy
homocysteine
- HF
high fat
- HHcy
hyperhomocysteinemia
- HM
high methionine
- HV
high vitamin
- IL
interleukin
- LV
lentivirus
- MØ
macrophage
- MC
monocyte
- MCP-1
monocyte chemoattractant protein-1
- MNC
mononuclear cell
- NK
natural killer cell
- NO
nitric oxide
- ROS
reactive oxygen species
- T2DM
type 2 diabetes mellitus
- TF
transcription factor
- TNF
tumor necrosis factor
- WT
wild type
Footnotes
GUARANTOR STATEMENT
HW is the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
CONFLICT OF INTEREST:
The authors have declared that no conflict of interest exists.
c) Disclosure: None
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