| Literature DB >> 20716116 |
Matthias Hammon1, Martin Herrmann, Oliver Bleiziffer, Galyna Pryymachuk, Laura Andreoli, Luis E Munoz, Kerstin U Amann, Michele Mondini, Marisa Gariglio, Paolo Airó, Vera S Schellerer, Antonis K Hatzopoulos, Raymund E Horch, Ulrich Kneser, Michael Stürzl, Elisabeth Naschberger.
Abstract
Rheumatic autoimmune disorders are characterized by a sustained pro-inflammatory microenvironment associated with impaired function of endothelial progenitor cells (EPC) and concomitant vascular defects. Guanylate binding protein-1 (GBP-1) is a marker and intracellular regulator of the inhibition of proliferation, migration and invasion of endothelial cells induced by several pro-inflammatory cytokines. In addition, GBP-1 is actively secreted by endothelial cells. In this study, significantly increased levels of GBP-1 were detected in the sera of patients with chronic inflammatory disorders. Accordingly we investigated the function of GBP-1 in EPC. Interestingly, stable expression of GBP-1 in T17b EPC induced premature differentiation of these cells, as indicated by a robust up-regulation of both Flk-1 and von Willebrand factor expression. In addition, GBP-1 inhibited the proliferation and migration of EPC in vitro. We confirmed that GBP-1 inhibited vessel-directed migration of EPC at the tissue level using the rat arterio-venous loop model as a novel quantitative in vivo migration assay. Overall, our findings indicate that GBP-1 contributes to vascular dysfunction in chronic inflammatory diseases by inhibiting EPC angiogenic activity via the induction of premature EPC differentiation.Entities:
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Year: 2011 PMID: 20716116 PMCID: PMC3823202 DOI: 10.1111/j.1582-4934.2010.01146.x
Source DB: PubMed Journal: J Cell Mol Med ISSN: 1582-1838 Impact factor: 5.310
Clinical and demographic characteristics of the NHD (n= 80), RA (n= 50), SLE (n= 51) and SSc patients (n= 92) analysed
| NHD ( | ||||
| Age (mean ± S.D.) | 31.8 ± 11.6 years | |||
| Sex (females) | 43 (53.75%) | |||
| RA ( | ||||
| Age (mean ± S.D.) | 56.4 ± 13.3 years | |||
| Females | 37 (74%) | |||
| At least four criteria of the following seven criteria were fulfilled for each patient: | ||||
| Morning stiffness ≥ 1 hr | ||||
| Arthritis of three or more joints (right/left PIP, MCP, wrist, elbow, knee, ankle and MTP joints) | ||||
| Arthritis of wrist, MCP or PIP joint | ||||
| Symmetric involvement of joints | ||||
| RA-typical radiographic changes in the hands | ||||
| Subcutaneous nodules | ||||
| Positive serum rheumatoid factor | ||||
| Activity parameter: | ||||
| Disease activity score (28 joints) | Remission < 2.6 | 19 (38%) | ||
| Low activity < 3.2 | 12 (24%) | |||
| Moderate activity 3.2–5.1 | 12 (24%) | |||
| High activity > 5.1 | 3 (6%) | |||
| Erythrocyte sedimentation rate (ESR; mean ± S.D.) | 19.7 ± 18.2 mm/hr | |||
| C-reactive protein (mg/l) | ≤2 mg/l | 15 (30%) | ||
| 2–10.0 mg/l | 26 (52%) | |||
| 10.1–40 mg/l | 6 (12%) | |||
| >40 mg/l | 1 (2%) | |||
| SLE ( | ||||
| Age (mean ± S.D.) | 40.2 ± 12.8 years | |||
| Females | 44 (86.3%) | |||
| ESR (mean ± S.D.) | 28.0 ± 21.9 mm/hr | |||
| C-reactive protein (mg/l) | ≤2 mg/l | 24 (47.1%) | ||
| 2–10.0 mg/l | 16 (31.4%) | |||
| 10.1–40 mg/l | 7 (13.7%) | |||
| >40 mg/l | 2 (3.9%) | |||
| Leukocytes (mean ± S.D.) | 6.5 ± 3.5 × 103/μl (normal: 4–10 × 103/μl) | |||
| Lymphocytes (mean ± S.D.) | 1.0 ± 0.8 × 103/μl (normal: 1.3–3.3 > 103/μl) | |||
| Thrombocytes (mean ± S.D.) | 241.0 ± 111.8 × 103/μl (normal: 140–400 > 103/μl) | |||
| Positive serum rheumatoid factor$ | 11 (21.5%) | |||
| Autoantibody profile: | Anti-dsDNA antibodies (Farr; U/ml) | ≤7.0: 23 (45.1%); >7.0: 28 (54.9%) | ||
| Positive ANA titres | 35 (68.6%) | |||
| Anti-cardiolipin (GPL U/ml) | ≤13: 22 (43.1%); >13: 10 (19.6%) | |||
| Positive lupus anticoagulant | 14 (27.5%) | |||
| Anti-β2-glycoprotein-1 (U/ml) | ≤10: 19 (41.2%); >10: 4 (7.8%) | |||
| Organ involvement | ||||
| Joints | 27 (52.9%) | |||
| Kidneys | 22 (43.1%) | |||
| Skin | 29 (56.9%) | |||
| Blood | 21 (41.2%) | |||
| Vessels | 5 (9.8%) | |||
| Serous membranes | 13 (25.5%) | |||
| CNS | 7 (13.7%) | |||
| SSc ( | ||||
| Age (mean ± S.D.) | 59.2 ± 13.1 years | |||
| Females | 82 (89%) | |||
| Disease duration | 10.8 ± 7.8 years | |||
| Cutaneous form | Diffuse: 32 (35%) | Limited: 60 (65%) | ||
| Autoantibody profile: | Positive anti-nuclear antibodies | 90 (97.8%) | ||
| Anti-topoisomerase I (anti-Scl70) | 26 (28.3%) | |||
| Anti-centromere | 30 (32.6%) | |||
| Anti-RNA polymerase III | 8 (8.7%) | |||
| Pulmonary fibrosis on CT scan | 38 (41.3%) | |||
| Restrictive lung disease (FVC, forced vital capacity <75%) | 6 (6.5%) | |||
| Left ventricular ejection fraction <55% | 5 (5.4%) | |||
| Diastolic left ventricular dysfunction based on E/A ratio | 6 (6.5%) | |||
| History of renal crisis | 4 (4.3%) | |||
| Prostacyclin endovenous therapy required for digital ulcerations | 32 (34.8%) | |||
Age of 10 donors was not registered.
Sex of one donor was not registered.
DAS28 of four patients was not registered.
ESR was not measured in five RA and two SLE patients.
CRP was not measured in two RA and two SLE patients.
Rheumatoid factor was not measured in 20 patients.
*Anti-cardiolipin was not measured in 19 patients.
Lupus anticoagulant was not measured in 25 patients.
Anti-β2-glycoprotein was not measured in 28 patients.
RA: rheumatoid arthritis; MCP: metacarpophalangeal; MTP: metatarsophalangeal; NHD: normal healthy donors; PIP: proximal interphalangeal; SLE: systemic lupus erythematosus; SSc: systemic sclerosis.
Fig 1GBP-1 levels are increased in sera of patients with the autoimmune diseases, rheumatoid arthritis (RA), systemic lupus erythematosus (SLE) or systemic sclerosis (SSc). GBP-1 was quantified by ELISA [30] in serum samples of patients suffering from RA (n= 50), SLE (n= 51), SSc (n= 92) and NHD (n= 80). A vertical scatter plot is given with a line corresponding to the mean values. A dashed line indicates the mean of the NHD plus two standard deviations. A t-test for independent samples was used to determine significance (asterisks given for P-values < 0.05). Non-detectable (n.d.) indicates GBP-1 values below the detection limit of the ELISA.
Fig 2Detection of GBP-1 expression and secretion in stably transfected EPC. (A) Western blot analysis of total cell lysates obtained from EPC clones stably transfected with control-vector pMCV-2.2 (control-EPC) or with flag-tagged GBP-1 (GBP-clones 1, 2 and 3). Immunochemical detection of actin demonstrates equal protein loading. (B) Control- and GBP-1-EPC were stained by immunocytochemistry for GBP-1 using a monoclonal rat anti-human GBP-1 antibody (clone 1B1) and an Alexa488-labelled secondary antibody. GBP-1-staining is visualized by green colour. Counterstaining was performed with DAPI (blue). (C) Extracellular GBP-1 was quantified in the culture supernatants of control- and GBP-1-EPC by ELISA. Non-specific leakage of intracellular proteins was estimated by quantification of lactate dehydrogenase activity (U/L) in the cellular supernatants using a commercial assay. All results are given as means ± S.D. and are normalized to the cell numbers (105 cells) releasing the indicated amount over 24 hrs.
Fig 3After in vitro differentiation, GBP-1 expression is stably maintained and promotes EPC differentiation. (A) Staining of undifferentiated (Undiff.) and differentiated (Diff.) GBP-1-EPC by immunocytochemistry was performed with a rat anti-human GBP-1 antibody (green). Counterstaining was performed with DAPI (blue). (B) Semi-quantitative RT-PCR was performed to quantify RNA expression levels of Flk-1, vWF, GBP-1 and GAPDH in control- and GBP-1-EPC before (–) and after (+) differentiation. Decreasing amounts of cDNA (undiluted, 1:10, 1:100, 1:1000) were subjected to PCR after reverse transcription of the isolated RNA. Bands obtained at non-saturated levels were quantified by densitometry and normalized to the corresponding GAPDH signal. Results are given as fold change.
Fig 4GBP-1 reduces the proliferation and migration of EPC in vitro. (A) Control- and GBP-1-EPCs were cultured for 3 days after initial seeding of the same cell number and were counted every day with a Casy counter upon harvesting. Cell proliferation is expressed as fold induction. One representative experiment of at least three is shown, and data points are given as means ± S.D. Asterisks indicate P-values ≤ 0.05. (B) The migratory capacity of control- and GBP-1-EPC was investigated using a wound-healing assay. In vitro scratch wounds were generated by scraping a confluent cell monolayer with a sterile pipette tip. Pictures from the same areas were taken immediately after scratching (0 hr) and then every 2 hrs. The width of the scratch wounds at the time-points indicated was analysed and compared to the initial width. The values are displayed as relative percentages. Results are given as means ± S.D. of one representative of at least four experiments. Asterisks indicate P-values ≤ 0.05. (C) Representative pictures of the scratch assay acquired at time-points 0 and 10 hrs of Control- and GBP-1-EPC.
Fig 5Stable expression of GBP-1 reduces the migratory capacity of EPC in an in vivo AV-loop rat model. (A) Overview of an explant of the AV-loop chamber stained by haematoxylin/eosin. Letters indicate the anatomical structures central vessels (CV), fibrovascular tissue (T), and fibrin clot (FC), with the remaining being EPC. Scale bar = 1 mm. (B) The number of DiI+ cells/0.01 mm2 tissue area was quantified in three relative distances to the CV at four different sites of each explant (n= 4 for each group). The values are depicted by a vertical scatter plot with a line corresponding to the mean. Asterisks are given for P-values ≤ 0.05; n.s. indicates not significant. (C) DiI+ Control- and GBP-1-EPC were visualized by epifluorescent microscopy (red). Counterstaining was performed with DAPI (blue). The lumen of the CV is indicated by a white line in the consecutive pictures. Different magnifications of the same areas are displayed (left versus right panel). The absolute numbers of cells in the DAPI channel were counted in at least three optical fields for both, the Control- and GBP-1-EPC, statistically evaluated and were not found to be significantly different (P= 0.474). Scale bars = 250 μm.