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EJNMMI Research

EJNMMI Research Cover Image
Preliminary research
Open Access

Imaging the effect of receptor for advanced glycation endproducts on angiogenic response to hindlimb ischemia in diabetes

  • Yared Tekabe1,
  • Xiaoping Shen2, 3,
  • Joane Luma1,
  • Drew Weisenberger4,
  • Shi Fang Yan2, 3,
  • Roland Haubner5,
  • Ann Marie Schmidt2, 3 and
  • Lynne Johnson1Email author
EJNMMI Research20111:3

https://doi.org/10.1186/2191-219X-1-3

©  Tekabe et al; licensee Springer. 2011

Received: 15 February 2011

Accepted: 7 June 2011

Published: 7 June 2011

Abstract

Background

Receptor for advanced glycation endproducts (RAGE) expression contributes to the impaired angiogenic response to limb ischemia in diabetes. The aim of this study was to detect the effect of increased expression of RAGE on the angiogenic response to limb ischemia in diabetes by targeting αvβ3 integrin with 99mTc-labeled Arg-Gly-Asp (RGD).

Methods

Male wild-type (WT) C57BL/6 mice were either made diabetic or left as control for 2 months when they underwent femoral artery ligation. Four groups were studied at days 3 to 7 after ligation: WT without diabetes (NDM) (n = 14), WT with diabetes (DM) (n = 14), RAGE-/- NDM (n = 16), and RAGE-/- DM (n = 14). Mice were injected with 99mTc-HYNIC-RGD and imaged. Count ratios for ischemic/non-ischemic limbs were measured. Muscle was stained for RAGE, αvβ3, and lectins.

Results

There was no difference in count ratio between RAGE-/- and WT NDM groups. Mean count ratio was lower for WT DM (1.38 ± 0.26) vs. WT NDM (1.91 ± 0.34) (P<0.001). Mean count ratio was lower for the RAGE-/- DM group than for RAGE-/- NDM group (1.75 ± 0.22 vs. 2.02 ± 0.29) (P<0.001) and higher than for the WT DM group (P<0.001). Immunohistopathology supported the scan findings.

Conclusions

In vivo imaging of αvβ3 integrin can detect the effect of RAGE on the angiogenic response to limb ischemia in diabetes.

Keywords

Vascular Endothelial Growth FactorLimb IschemiaAngiogenic ResponseCount RatioExogenous Vascular Endothelial Growth Factor

Background

The prevalence of peripheral artery disease in the general population is 12% to 14%, affecting 20% of those >70 years and contributes to significant morbidity. Limb ischemia in diabetics takes a particularly malignant course leading to impaired wound healing, gangrene, amputations, and even death [1, 2]. A major and distinct adaptive process that contributes to restoring nutrient blood flow to ischemic limbs is angiogenesis/arteriogenesis. Angiogenesis refers to the process of endothelial sprouting. Arteriogenesis is the formation of larger "arteriole" like vessels. Both processes are essential for the development of subsequent collateral growth [3]. Tissue hypoxia activates genes that code for angiogenic growth factors and cytokines. Investigational studies have documented the involvement of receptor for advanced glycation endproducts (RAGE) in the impaired angiogenic response to limb ischemia in diabetes [4–7].

The expression of αvβ3 integrin, a cell adhesion receptor that plays a crucial role in the angiogenesis process, can be targeted with radiolabeled peptides for in vivo imaging [8]. Comparing in vivo imaging in animals with genetic alteration of pathways implicated in angiogenesis allows exploration of downstream effects in live animals. In this study, we investigated the value of imaging the effects of RAGE expression on the angiogenic response to limb ischemia in live animals. We used 99mTc-labeled Arg-Gly-Asp (RGD) peptide that targets αvβ3 integrin expression occurring during capillary sprouting. Our hypothesis was that using genetically altered mice, 99mTc-labeled RGD imaging can detect in vivo the effect of RAGE expression on angiogenic response to limb ischemia in diabetes.

Methods

Experimental protocol

All animal experiments were performed in accordance with the approval of the Institutional Animal Care and Use Committee of Columbia University. Homozygous male RAGE null (RAGE-/-) mice (backcrossed >10 generations into C57BL/6) were generated as described previously [9]. Male wild-type (WT) C57BL/6 mice were obtained (Jackson Laboratories). At age 6 weeks, half of the WT and half of the RAGE-/- mice were treated with streptozotocin (STZ; Sigma). Two months later, all mice underwent femoral artery (FA) ligation.

Induction of diabetes

Mice were treated with five consecutive daily doses of STZ dissolved in citrate buffer (55 mg/kg, pH 4.5) via the intraperitoneal route. One week after the first dose, glucose levels were assessed by glucometer. The criteria of two consecutive glucose levels >250 mg/dL was used to indicate diabetes. If glucose levels were <250 mg/dL, then the mice received two additional doses of STZ (55 mg/kg).

Femoral artery ligation

Under isoflurane anesthesia, the hair on the abdominal wall and pelvis and both upper legs was shaved and the skin prepped with iodine and alcohol. An incision was made on the upper thigh of both the left and right legs of each mouse. The inguinal ligament and the upper half of the femoral artery were exposed. On the left side, the vascular bundle was isolated from below the inguinal ligament proximally to just above the bifurcation into the superficial and deep femoral arteries distally. The femoral artery was dissected free, and two ligatures were placed around it with 8/0 non-absorbable sutures and tied. Both skin incisions were closed with sterile 5/0 nylon suture.

Preparation of radiotracer

Aliquots of 5 μg of HYNIC-RGD were incubated with 0.5 ml of tricine solution (70 mg/ml in distilled water) and approximately 0.5 ml of 99mTcO4 - solution (50 mCi = 1,850 MBq) and 20 μl of tin(II) solution (10 mg of SnCl2·2H2O in 10 ml of nitrogen-purged 0.1 N HCl for 20 min) at room temperature. To test the specificity of the HYNIC-RGD, cyclo [Arg-Ala-Asp-D-Phe-Lys (HYNIC)] (Peptides International, Louisville, KY, USA) was similarly radiolabeled and used as control peptide. Radiochemical purity was >94% by Tec-control chromatography (Biodex, Shirley, NY, USA).

Injection of radiotracer and imaging

Under isoflurane anesthesia (1.5% isoflurane at a flow rate of 0.5% L/min oxygen per mouse), a cutdown was made over the jugular vein and a specially designed vascular catheter was placed (Braintree Scientific, Braintree, MA, USA). Mice in each of four groups were injected with 99mTc-HYNIC-RGD and imaged 3 or 7 days after FA ligation: WT without diabetes (n = 14), WT with diabetes (n = 14), RAGE-/- without diabetes (n = 16), RAGE-/- with diabetes (n = 14), and five WT without diabetes were injected with control peptide. All mice were injected through the jugular vein catheter with 1 ± 0.2 mCi of 99mTc-HYNIC-RGD in 0.05 to 0.1 ml (corresponding to 1 μg of peptide) or control peptide. Blood pool clearance was measured in five mice injected with 99mTc-HYNIC-RGD. By 60 to 75 min after injection, residual blood pool activity was below 10% of peak. Whole-body planar gamma images in the anteroposterior view were acquired on a high-resolution high-sensitivity dedicated small animal camera with parallel hole collimator (provided by Jefferson Lab, Newport News, VA, USA). The camera is based on a 5-in. Hamamatsu position sensitive photomultiplier type R3292 with an active field of view of about 95 mm diameter. The scintillator sensor is 1.6-mm-step 6-mm-thick pixelated NaI(Tl) scintillator array. The photo peak was set at 140 keV with a 15% energy window.

Ex vivo tissue counting

At completion of the imaging session, each animal was euthanized by an intraperitoneal injection of pentobarbital (100 mg/kg). The anterior tibialis muscles were dissected, weighed, and counted in a gamma counter (Wallac Wizard 1470, PerkinElmer, Waltham, MA, USA) for determination of the percent injected dose of radiotracer per gram (%ID/g) tissue. The radiotracer activity in the samples was corrected for background, decay time, and tissue weight. Limb counting was performed in 28 animals. The remaining animals were used for immunohistochemistry.

Histopathology

For immunohistochemical analyses, tibialis anterior muscles were harvested and fixed in 10% formalin for 48 h. Specimens were embedded in paraffin, and tissue slices (5 μm in thickness) were prepared. Serial sections were stained with hematoxylin and eosin (H&E) for morphology. Immunostaining was performed for capillary sprouting using biotinylated Griffonia Bandeiraea Simplicifolia Isolectin I (Vector Laboratories, Burlingame, CA, USA) for β3 (1:50; Abcam, Cambridge, MA, USA.) and for αν (1:100; Millipore, Temecula, CA, USA). Serial sections were also stained for RAGE using a monoclonal antibody against RAGE (50 μg/ml). Secondary stains were performed using avidin-biotin visualization systems (Vectastain ABC Kit, Vector Laboratories). All brown staining capillaries were counted for each of 5 to 6 sections for both the left and right anterior tibialis muscles for each experiment and then were averaged. The average number of capillaries for the left anterior tibialis muscle was divided by the average number for the right (control) anterior tibialis muscle. RAGE staining was quantified as area staining positive for the brown chromagen per 100× field.

Immunofluorescence

Dual immunofluorescent studies were undertaken to determine the cell types expressing αν integrin. Serial sections (5 μm in thickness) obtained from the ischemic hindlimb were deparaffinized in xylene and incubated with αν (rat anti-mouse integrin αν, 1:100) and co-stained with endothelial cell marker (FVIII, 1:200) or macrophage marker (Mac-3, 1:50). Secondary fluorescent antibodies were Texas Red anti-rabbit and FITC anti-mouse. The images were captured and processed using confocal fluorescence microscope (Nikon, Tokyo, Japan) and SPOT imaging software (Diagnostic Instruments, Inc., Sterling Heights, MI, USA).

Image analysis

Radiotracer counts in the ischemic hindlimb were determined from the in vivo scans by using the region of interest (ROI) method in the mini gamma camera image using public domain Image J software (NIH, Bethesda, MD, USA). A region was drawn around the focal uptake, and the mean counts were determined. Radioactivity in the contralateral control limb was similarly determined using a comparable ROI (same anatomic location and the number of pixels). The counts from each of these areas were used to determine the ischemic to non-ischemic ratios.

Statistical analysis

Continuous variables were expressed as mean ± standard deviation. Normality was assessed using the Shapiro-Wilk test. Comparisons between two groups were made using the Student's t test. Correlation was assessed using the Pearson product-moment correlation coefficient. All statistical tests were two-tailed, with P < 0.05 denoting significance. All statistical analyses were performed using STATA 10.1 (StataCorp, College Station, TX, USA).

Results

Scan analysis

Mean uptake ratios of counts between the left and right limbs were not different between days 3 and 7 for any of the four groups: WT non-diabetic (P = 0.52), WT diabetic (P = 0.39), RAGE-/- non-diabetic (P = 0.41), and RAGE-/- diabetic (P = 0.39). Therefore, days 3 and 7 data were combined as the early time period.

Representative scans from the four groups and the control peptide are shown in Figure 1. All scans in the non-diabetic WT group were positive visually, while three of the left limbs in the diabetic group were negative, one was equivocal, and one weakly positive. Scans of the WT mice injected with control peptide showed no tracer uptake in either limb.
Figure 1
Figure 1

Representative scans from the four groups and the control peptide. Images from each of the four groups of mice injected with 99mTc cyclo-RGD and imaged on days 3 to 7 after left femoral artery ligation with mean values for ratios for L/R hindlimb below each image. Image in the right shows a representative scan from an animal injected with control peptide. The yellow arrows point to the tracer uptake. The color table shows the highest counts in red through purple to blue and green is background. The bladder is labeled.

Data from scans and ex vivo well counting for both hindlimbs are shown in Figure 2. For the WT non-diabetic group, the mean scan count ratio for L/R hindlimbs was 1.91 ± 0.34 (range, 1.46 to 2.79), and for the WT diabetic group, it was 1.38 ± 0.26 (range, 1.05 to 1.74) (P < 0.001) (Figure 2A). The mean value for the RAGE-/- non-diabetic group was 2.02 ± 0.29 (range, 1.54 to 2.62) not statistically significantly different from the WT non-diabetic group. The mean value for the RAGE-/- diabetic group was 1.75 ± 0.22 (range, 1.53 to 2.35) which was significantly lower than the RAGE-/- non-diabetic group (P < 0.001) and was significantly higher than the WT diabetic group (P < 0.001).
Figure 2
Figure 2

Data from scans and ex vivo well counting for both hindlimbs. (A) Bars represent mean ± standard deviation values for the ratios of left/right (L/R) hindlimbs from the scan count data. (B) Bars represent mean ± standard deviation values for %ID/g for both the left and right legs. (C) Bars in graph represent mean ± standard deviation values for the ratios for %ID/g for L/R hindlimbs. WT, wild-type; DM, diabetes mellitus; NDM, non-diabetes mellitus.

Figure 2B shows values as %ID/g for the four groups for the left and right hindlimbs. The counts in the left (ischemic) hindlimbs showed the same pattern of differences among the four groups as shown for the scan ratios except for values for the WT diabetic and RAGE-/- diabetic (1.42 and 1.43). However, the ratios of L/R hindlimb %ID/g for RAGE-/- diabetic was higher than for WT diabetic (2.85 ± 0.40 vs. 2.13 ± 0.67, P = 0.03) (Figure 2C). This difference is due to lower mean %ID/g in the right limb for RAGE-/- diabetic group. For the remaining limb ratios for %ID/g values, WT non-diabetic was significantly higher than WT diabetic (3.04 ± 0.95 vs. 2.13 ± 0.67, P = 0.03) and RAGE-/- non-diabetic was higher than RAGE-/- diabetic (4.08 ± 1.00 vs. 2.85 ± 0.40, P = 0.02). All of these significance levels for intergroup differences were lower than for the scan data (Figure 2A) possibly due to the technical challenge to cleanly dissect the anterior tibialis muscles in the mouse. This limitation may have weakened the correlation for the plot of the ratios of L/R limbs against %ID/g (R = 0.059), although the correlation is highly significant (P = 0.001) (Figure 3).
Figure 3
Figure 3

Correlation of ratio of counts in L/R hindlimb. From ROIs drawn on the scans correlated with counts from ex vivo gamma well counting of the muscles from the left and right hindlimbs and corrected for decay and expressed as %ID/g of tissue.

Histopathology

Examples of tissue sections stained for H&E, αν, β3, and lectin are shown in Figure 4A. Quantitative lectin staining for capillaries from anterior tibialis muscle sections (n = 20 per group) for both the left (ischemic) and right (sham operated) hindlimbs of WT non-diabetic, WT diabetic, RAGE-/- non-diabetic, and RAGE-/- diabetic are shown in Figure 4B. The average capillary staining for the WT non-diabetic left limbs was significantly lower than the RAGE-/- non-diabetic left limbs (P = 0.05) and significantly higher than the WT diabetic left limbs (P < 0.001). The capillary staining for the WT diabetic left limbs was borderline significantly lower than for the RAGE-/- diabetic left limbs (P = 0.06). These histological results support the scan findings. Co-staining of sections for both endothelial cells and macrophages showed colocalization with αν (Figure 5).
Figure 4
Figure 4

Tissue sections stained for H&E, α ν , β 3 , and lectin. (A) An example of histological and immunohistochemical staining for anterior tibialis muscle sections for a wild-type non-diabetic mouse. (B) The bar graph for quantitative lectin staining. Each bar represents average ± SD of lectin-stained capillaries from sections of left anterior tibialis (ischemic limb) (light gray bars) and right anterior tibialis muscle (sham surgery) (dark gray bars) for animals from each of the four groups.

Figure 5
Figure 5

Dual immunofluorescent staining for cells expressing α v in ischemic limb sections. Sites of αv expression were shown to be mainly endothelial cells based on colocalization of αv (Texas Red) with FVIII (green, fluorescein isothiocyanate) in the merged image. Colocalization of αv with macrophages (Mac-3, fluorescein isothiocyanate) was also seen in the merged image. Areas in yellow represent colocalization. EC, endothelial cells. (Magnification ×200).

RAGE staining also supported the scan findings. There was positive staining for RAGE in the ischemic sections of hindlimbs from both diabetic and non-diabetic mice, and no staining in the contralateral control limbs (Figure 6). The RAGE-/- mice both non-diabetic and diabetic showed no RAGE staining.
Figure 6
Figure 6

Representative sections of anterior tibialis muscles stained for RAGE (brown chromagen) and displayed at 20×. The left set of images shows sections from a left (L) ischemic hindlimb (top) and control right (R) limb (bottom) from a WT non-diabetic (NDM) mouse 7 days (D) after femoral artery ligation. The center set of images shows sections from a left ischemic hindlimb (top) and control right limb (bottom) from a WT diabetic (DM) mouse 7 days after femoral artery ligation. The right set of images shows sections from a left ischemic hindlimb from a RAGE-/- non-diabetic mouse at day 7 after femoral artery ligation (top) and from a RAGE-/- diabetic mouse at day 7 after femoral artery ligation (bottom).

Discussion

In this study, we used radiolabeled RGD targeting integrin expression and in vivo gamma imaging to look at the effects of both diabetes and RAGE expression on the angiogenic response to hindlimb ischemia in mice. By measuring the ratio of tracer uptake in the ischemic limb to the contralateral control limb, we were able to show in live animals that in the absence of RAGE, the angiogenic response to ischemia is ameliorated both in diabetic and non-diabetic mice.

Diabetics have an attenuated angiogenic response to tissue hypoxia which contributes to long-term complications including poor collateral formation in the heart and in the lower extremities which is further aggravated by poor wound healing and ulcers. Several factors have been identified that contribute to this impaired angiogenic response in diabetics which include maladaptive regulation of vascular endothelial growth factor (VEGF) ligand signaling [10–12], impaired release of endothelial progenitor cells from the bone marrow [13], and defective function of the released cells [13, 14]. Shoji and co-workers using a matrigel patch model showed that the RAGE system is involved in impaired angiogenesis in diabetes [4].

Under hypoxic conditions, the expression of hypoxia inducible factor (HIF-1) is increased which turns on several genes including genes that code for VEGF that promote angiogenesis to restore perfusion and normoxia in normal subjects. However, exogenous VEGF has no effect to restore blood flow to diabetic mice with limb ischemia and there is reduced downstream VEGF signaling in diabetic animals [10–12]. Tamarat and co-investigators proposed a mechanism involving inhibition of the matrix metalloproteinases (MMPs) proteolytic enzymes that degrade the extracellular matrix, a process that is necessary for the sprouting capillaries as the neovascular mass grows [5]. After 3 days of limb ischemia following femoral artery ligation, MMP-2, MMP-3, and MMP-13 were increased in diabetic mice compared to controls, but collagenolysis was decreased, indicating a suppression of the response. Treatment with aminoguanidine, a thiamine derivative known to inhibit three of the major biochemical pathways in the pathways of angiogenesis including AGE formation, restored the collagenolysis process [5]. Tchaikovski and co-workers investigated mechanisms whereby AGEs and RAGE expression inhibit the response of circulating macrophages and progenitor cells to promote angiogenesis in limb ischemia in diabetes and found activation of VEGFR-1-related signal transduction pathways in monocytes making them resistant to stimulation by VEGF-A [6]. Shen and co-workers showed that both diabetic and non-diabetic mice that received marrow transplantation from RAGE-/- donors had improved limb blood flow at 28 days following ligation compared to mice receiving marrow from RAGE+/+ donors [8].

Integrins are cell adhesion receptors expressed on endothelial cells, and αvβ3 integrin is responsible for cell-cell interaction and the interaction between cells and the extracellular matrix, processes that are necessary for angiogenesis [15–18]. Upon activation of the complex tertiary structure, integrins unfold, revealing a recognition site for the Arg-Gly-Asp (RGD) sequence to bind extracellular matrix (ECM) proteins such as vitronectin, fibrinogen, and fibronectin [19]. This unique peptide binding site was used to develop linear and cyclic peptides with RGD sequence to target αvβ3 integrin for imaging [19, 20]. Because αvβ3 integrin is expressed on both endothelial cells and monocyte/macrophages and the inflammatory response to ischemia is increased in diabetes, angiogenesis based on uptake of 99mTc-HYNIC-RGD in the ischemic hindlimbs may have been overestimated in the diabetic mice. Nevertheless, the diabetic mice had significantly lower uptake of 99mTc-HYNIC-RGD in the ischemic limb compared to the non-diabetic mice, suggesting that the binding to endothelial cells in this model had the dominant effect.

Using an RGD mimetic peptide (99mTc-NC100692), Hua and colleagues imaged αvβ3 expression in a murine limb ischemia model [21]. Integrin expression has also been targeted for in vivo nuclear imaging in myocardial infarction and remodeling and in response to VEGF therapy in chronic low flow dysfunctional myocardium [22, 23]. Our study extends these reports to document the value of this imaging approach to molecular pathways involved in diabetes.

Conclusions

We confirmed in live animals the role of RAGE expression to inhibit the angiogenic response to limb ischemia in diabetes. Both the diabetic and non-diabetic RAGE-/- mice showed improved angiogenesis compared to the RAGE+/+ mice (WT diabetic and non-diabetic) based on greater uptake of radiolabeled RGD targeting αvβ3 expression, a biomarker of tissue changes accompanying early angiogenesis. While femoral artery occlusion in a mouse is a simple model for limb ischemia compared to the slowly progressive disease in humans, the results of this study support the value of radiolabeled RGD as a non-invasive tool to follow the angiogenic response to modifications in factors affecting the angiogenic response to tissue hypoxia.

Limitations

Planar imaging was used. As reported in a similar model, planar imaging tends to underestimate relative uptake within lower limbs as compared with SPECT and gamma well counting [21]. Since all experiments were performed the same way, differences among groups are probably not affected; however, such an underestimation would explain the slope of the regression line for the plot of %ID from the scans vs. %ID/g from the tissue.

Abbreviations

AGEs: 

advanced glycation endproducts

DM: 

diabetes mellitus

FA: 

femoral artery

MMPs: 

matrix metalloproteinases

NDM: 

non-diabetes mellitus

%ID/g: 

percent injected dose per gram

ROI: 

region of interest

RAGE: 

receptor for advanced glycation endproducts

VEGF: 

vascular endothelial growth factor

WT: 

wild-type.

Declarations

Acknowledgements

We thank Stan Majewski, Ph.D. from Jefferson Laboratories for loaning us the dedicated small animal gamma camera and Geping Zhang for her assistance in histology.

Authors’ Affiliations

(1)
Department of Medicine, Columbia University Medical Center, New York, USA
(2)
Department of Surgery, Columbia University Medical Center, New York, USA
(3)
Department of Medicine, New York University Medical Center, New York, USA
(4)
Thomas Jefferson National Accelerator Facility, Newport News, USA
(5)
Department of Nuclear Medicine, Medical University of Innsbruck, Innsbruck, Austria

References

  1. Ouriel K: Peripheral arterial disease. Lancet 2001, 358: 1257–1264. 10.1016/S0140-6736(01)06351-6PubMedView ArticleGoogle Scholar
  2. Currie CJ, Morgan CL, Peters JR: The epidemiology and cost of inpatient care for peripheral vascular disease, infection, neuropathy, and ulceration in diabetes. Diabetes Care 1998, 21: 42–48. 10.2337/diacare.21.1.42PubMedView ArticleGoogle Scholar
  3. Scholz D, Ziebeglhoeffer T, Helisch A, Wagner S, Friedrich C, Podzuweit T, Schaper W: Contribution of arteriogenesis and angiogenesis to post occlusive hindlimb perfusion in mice. J Mol Cell Cardiol 2002, 34: 775–787. 10.1006/jmcc.2002.2013PubMedView ArticleGoogle Scholar
  4. Shoji T, Koyama H, Morioka T, Tanaka S, Kizu A, Motoyama K, Mori K, Fukumoto S, Shioi A, Shimogaito N, Takeuchi M, Yamamoto Y, Yonekura H, Yamamoto H, Nishizawa Y: Receptor for advanced glygation endproducts is involved in imapaired angiogenic response in diabetes. Diabetes 2006, 55: 2245–2255. 10.2337/db05-1375PubMedView ArticleGoogle Scholar
  5. Tamarat R, Silvestre J-S, Huijberts M, Benessiano J, Ebrahimian TG, Duriez M, Wautier MP, Wautier JL, Lévy BI: Blockade of advanced glycation endproduct formation restores ischemia-induced angiogenesis in diabetic mice. Proc Natl Acad Sci 2003, 100: 8555–8560. 10.1073/pnas.1236929100PubMed CentralPubMedView ArticleGoogle Scholar
  6. Tchaikovski V, Olieslagers S, Bohmer FD, Waltenberger J: Diabetes mellitus activates signal transduction pathways resulting in vascular endothelial growth factor resistance of human monocytes. Circulation 2009, 120: 150–159. 10.1161/CIRCULATIONAHA.108.817528PubMedView ArticleGoogle Scholar
  7. Shen X, Song F, Rosario R, Morales A, Zou YS, Schmidt AM, Yan SF: Abstract 5757: RAGE in bone marrow derived cells blunts restoration of blood flow in mice subjected to femoral artery ligation. Circulation 2009, 120: S1142.Google Scholar
  8. Haubner R: α v β 3 -integrin imaging: a new approach to characterize angiogenesis? Eur J Nucl Med Mol Imaging 2006, 33: S54-S63. 10.1007/s00259-006-0136-0View ArticleGoogle Scholar
  9. Liliensiek B, Weigand MA, Bierhaus A, Nicklas W, Kasper M, Hofer S, Plachky J, Gröne HJ, Kurschus FC, Schmidt AM, Yan SD, Martin E, Schleicher E, Stern DM, Hämmerling GG, Nawroth PP, Arnold B: Receptor for advanced glycation endproducts (RAGE) regulates sepsis but not the adaptive immune response. J Clin Invest 2004, 113: 1641–1650.PubMed CentralPubMedView ArticleGoogle Scholar
  10. Roguin A, Nitecki S, Rubinstein I, Nevo E, Avivi A, Levy NS, Abassi ZA, Sabo E, Lache O, Frank M, Hoffman A, Levy AP: Vascular endothelial growth factor (VEGF) fails to improve blood flow and to promote collateralization in a diabetic mouse ischemic hindlimb model. Cardiovascular Diabetology 2003, 2: 1–6. 10.1186/1475-2840-2-1View ArticleGoogle Scholar
  11. Hazarika S, Dokun AO, Li Y, Popel AS, Kontos CD, Annex BH: Impaired angiogenesis after hindlimb ischemia in type 2 diabetes mellitus. Circ Res 2007, 101: 948–956. 10.1161/CIRCRESAHA.107.160630PubMedView ArticleGoogle Scholar
  12. Loomans CJ, de Koning EJ, Staal FJ, Rookmaaker MB, Verseyden C, de Boer HC, Verhaar MC, Braam B, Rabelink TJ, van Zonneveld AJ: Endothelial progenitor cell dysfunction: a novel concept in the pathogenesis of vascular complications of type 1 diabetes. Diabetes 2004, 53: 195–199.PubMedView ArticleGoogle Scholar
  13. Tepper OM, Galiano RD, Capla JM, Kalka C, Gagne PJ, Jacobowitz GR, Levine JP, Gurtner GC: Human endothelial progenitor cells from type II diabetics exhibit impaired proliferation, adhesion, and incorporation into vascular structures. Circulation 2002, 106: 2781–2786. 10.1161/01.CIR.0000039526.42991.93PubMedView ArticleGoogle Scholar
  14. Sneider EB, Nowicki PT, Messina LM: Regenerative medicine in the treatment of peripheral arterial disease. J Cell Biochem 2009, 108: 753–761. 10.1002/jcb.22315PubMedView ArticleGoogle Scholar
  15. Tsou R, Isik F: Integrin activation is required for VEGF and FGF receptor protein presence on human microvascular endothelial cells. Mol Cell Biochem 2001, 224: 81–89. 10.1023/A:1011947301849PubMedView ArticleGoogle Scholar
  16. Heil M, Clauss M, Suzuki K, Buschmann IR, Willuweit A, Fischer S, Schaper W: Vascular endothelial growth factor (VEGF) stimulates monocyte migration through endothelial monolayers via increased integrin expression. Eur J Cell Biol 2000, 79: 850–857. 10.1078/0171-9335-00113PubMedView ArticleGoogle Scholar
  17. Senger DR, Ledbetter SR, Claffey KP, Papadopoulos-Sergiou A, Perruzzi CA, Detmar M: Stimulation of endothelial cell migration by vascular permeability factor/vascular endothelial growth factor through cooperative mechanisms involving the α v β 3 integrin, osteopontin, and thrombin. Am J Pathol 1996, 149: 1.PubMed CentralPubMedGoogle Scholar
  18. Bayless KJ, Salazar R, Davis GE: RGD-dependent vacuolation and lumen formation observed during endothelial cell morphogenesis in three-dimensional fibrin matrices involves the α v β 3 and α v β 1 integrins. Am J Pathol 2000, 156: 1673–1683. 10.1016/S0002-9440(10)65038-9PubMed CentralPubMedView ArticleGoogle Scholar
  19. Haubner R, Wester HJ, Burkhart F, Senekowitsch-Schmidtke R, Weber W, Goodman SL, Kessler H, Schwaiger M: Glycosylate RGD-containing peptides: tracer for tumor targeting and angiogenesis imaging with improved biokinetics. J Nucl Med 2001, 42: 326–336.PubMedGoogle Scholar
  20. Decristoforo C, Faintuch-Linkowski B, Rey A, von Guggenberg E, Ruppricha M, Hernandez-Gonzales I, Rodrigo T, Haubner R: [ 99m Tc] HYNIC-RGD for imaging integrin α v β 3 expression. Nucl Med Biol 2006, 33: 945–952. 10.1016/j.nucmedbio.2006.09.001PubMedView ArticleGoogle Scholar
  21. Hua J, Dobrucki LW, Sadeghi MM, Zhang J, Bourke BN, Cavaliere P, Song J, Chow C, Jahanshad N, van Royen N, Buschmann I, Madri JA, Mendizabal M, Sinusas AJ: Noninvasive imaging of angiogenesis with a 99m Tc-labeled peptide targeted at α v β 3 integrin after murine hindlimb ischemia. Circulation 2005, 111: 3255–3260. 10.1161/CIRCULATIONAHA.104.485029PubMedView ArticleGoogle Scholar
  22. Meoli DF, Sadeghi MM, Krassilnikova S, Bourke BN, Giordano FJ, Dione DP, Su H, Edwards DS, Liu S, Harris TD, Madri JA, Zaret BL, Sinusas AJ: Noninvasive imaging of myocardial angiogenesis following experimental myocardial infarction. J Clin Invest 2004, 113: 1684–1691.PubMed CentralPubMedView ArticleGoogle Scholar
  23. Johnson LL, Schofield L, Donahay T, Bouchard M, Poppas A, Haubner R: Radiolabeled arginine-glycine-aspartic acid peptides to image angiogenesis in swine model of hibernating myocardium. J Am Coll Cardiol Img 2008, 1: 500–510.View ArticleGoogle Scholar

Copyright

© Tekabe et al; licensee Springer. 2011

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License

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