Literature DB >> 23321217

VEGF levels in plasma in relation to platelet activation, glycemic control, and microvascular complications in type 1 diabetes.

Reinier O Schlingemann1, Cornelis J F Van Noorden, Mattheus J M Diekman, Anna Tiller, Joost C M Meijers, Pieter Koolwijk, Wilmar M Wiersinga.   

Abstract

OBJECTIVE: Increased levels of vascular endothelial growth factor (VEGF) in human plasma samples have suggested that circulating VEGF is a cause of endothelial dysfunction in diabetes mellitus. However, artificial release of VEGF from platelets as a source of VEGF in plasma samples, as also occurs in serum samples, has not been ruled out in these studies. RESEARCH DESIGN AND METHODS: We determined VEGF levels in plasma collected in both citrate and PECT, a medium that inactivates platelets, in a cross-sectional cohort of 21 healthy subjects and 64 patients with type 1 diabetes. In addition, we evaluated whether VEGF levels in both types of plasma correlated with the presence of diabetes, glycemic control, markers of in vivo or ex vivo platelet activation, and degree of diabetic retinopathy and nephropathy.
RESULTS: VEGF levels were invariably low in PECT plasma of both nondiabetic and diabetic subjects and were unrelated to any other diabetes-related variable studied. In contrast, VEGF levels in citrate plasma were 150% higher in diabetic patients than in control subjects and correlated with diabetes-related variables. Multiple linear regression analysis showed that levels of platelet factor 4, a marker for ex vivo platelet activation, and HbA1c were the independent predictors of VEGF levels in citrate plasma. Platelet activation, in vivo and ex vivo, was similar in diabetic persons and control subjects.
CONCLUSIONS: Like serum, citrate plasma is not suitable for reliable measurements of circulating VEGF. The low levels of VEGF in vivo, as represented by measurements in PECT plasma in our study, do not support a role of circulating VEGF in endothelial dysfunction in type 1 diabetes. Higher levels of VEGF in citrate plasma samples of diabetic persons do not represent the in vivo situation, but mainly originate from higher artificial ex vivo release from platelets correlating with the degree of glycemic control.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23321217      PMCID: PMC3661842          DOI: 10.2337/dc12-1951

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Type 1 diabetes mellitus (DM) induces systemic endothelial dysfunction, even before clinical microvascular or macrovascular angiopathies become manifest (1–5). It is characterized by increased vascular permeability and elevated plasma levels of endothelium-derived proteins like von Willebrand factor (vWF) (2,3). Endothelial dysfunction is related to increased glycemia, the most important risk factor for clinical diabetic angiopathies (3–5), but its pathogenesis is unclear. Vascular endothelial growth factor (VEGF)-A is a potent angiogenic cytokine, released by hypoxic cells, activated platelets, leukocytes, and cancer cells (6–13). It increases vascular permeability in vivo and activates endothelial cells in vitro, leading to protein kinase C activation and release of several proteins for which plasma levels are elevated in vivo due to diabetic endothelial dysfunction (6,14). In cultured endothelial cells, VEGF production is induced by high levels of glucose and advanced glycation end products (15–18). Taken together, VEGF may play an important role in the pathogenesis of endothelial dysfunction (14,16,18). In support of this notion, VEGF plasma levels were found to be higher in diabetic persons than in control subjects (19–22), and a correlation of plasma VEGF levels with both diabetic nephropathy (DN) and proliferative retinopathy has been reported (23–25). As VEGF is released by activated platelets (7–10), as occurs in serum samples, platelet activation during blood collection could be an artificial source of VEGF in plasma samples as well, but this possibility was not explored in the studies mentioned (19,23,24). VEGF levels in plasma samples may correlate with blood platelet activation at the time of blood sampling rather than represent the steady-state plasma levels of VEGF in vivo. This may explain conflicting results in studies of VEGF plasma levels in DM and other conditions with endothelial dysfunction (14,20–22,26–29). Artificial ex vivo platelet activation during blood collection procedures can be largely inhibited by using anticoagulants to which a mixture of prostaglandin E1 and theophylline has been added (e.g., PECT medium) (30). When combined with measurements for platelet factor 4 (PF4), a marker for ex vivo artificial platelet activation in blood samples (31), and β-thromboglobulin (β-TG), a marker for in vivo platelet activation (31), PECT plasma allows a more accurate estimation of the actual levels of VEGF circulating in vivo. Using this approach, we have shown in a recent study that VEGF levels in the circulation of patients with metastasized cancer are very low, in contrast to many previous reports that were based on VEGF levels in citrate or EDTA plasma analyses (32). In the current study, we compared VEGF measurements in blood samples of diabetic persons and control subjects collected in citrate and PECT medium. We investigated: 1) whether VEGF levels found in citrate plasma levels were different from those found in PECT plasma; and 2) whether VEGF levels in citrate and PECT plasma correlate with parameters of diabetes and endothelial dysfunction such as HbA1c levels, glucose levels, vWF levels, or with the presence of diabetic retinopathy (DR) and DN.

RESEARCH DESIGN AND METHODS

Subjects

Twenty-one healthy subjects (category 1) and 64 consecutive patients with type 1 DM, without DR and DN (category 2; n = 21), with DR but without DN (category 3; n = 25), or with both DR and DN (category 4; n = 18) participated in the study. Retinopathy was defined according to the definitions of the Early Treatment Diabetic Retinopathy Study Research Group (33); DN was defined as such when albuminuria >30 mg/24 h, when not explained by other causes than DM. The study was approved by the Medical Ethical Committee of our institute, and patients gave their written informed consent (34). After an overnight fast and abstaining from vigorous physical activity during the previous 24 h, patients presented at the outpatient clinic between 8:00 and 10:00 a.m., bringing their 24-h urine collection for measurement of urinary creatinine and albumin excretion. Demographic and relevant medical history data were recorded: age, sex, diabetes duration, insulin dose, comorbidity, medication, and smoking habits (Table 1). Blood pressure was measured with a sphygmomanometer in the sitting position: the median of three successive measurements was noted. Height and weight were measured. The degree of DR was scored by an experienced ophthalmologist (R.O.S.) by fundoscopic examination and examination of the clinical charts as no DR (A), nonproliferative DR (B), preproliferative DR (C), or proliferative DR (D), and previous panretinal photocoagulation therapy was noted. Demographic and clinical data are given in Table 1 according to the division in categories.
Table 1

Demographic and clinical parameters according to category

Demographic and clinical parameters according to category

Anticoagulants

From each patient or volunteer, venous blood was taken with a microperfuser (diameter 1 mm; Microflex; Vycon, Ecouen, France) and divided into different tubes. Plastic (polypropylene) blood-collection tubes were filled with 400 µL of a solution containing: prostaglandin E1 (94 nmol/L), Na2CO3 (0.63 mmol/L), EDTA (90 mmol/L), and theophyllin (10 mmol/L) (PECT medium). Blood samples (4 mL) were collected in these PECT tubes in an open system, drop by drop, without using a tourniquet to (maximally) avoid platelet activation ex vivo. Blood was also collected in tubes filled with citrate (BD Vacutainers Systems, Breda, the Netherlands). Blood collected in the PECT and citrate tubes was immediately placed on ice. Platelet-depleted PECT plasma was prepared by spinning for 60 min at 1,700g at 4°C within 1 h after collection. The citrate blood samples were centrifuged within 30 min for 15 min at 1,000g to obtain plasma.

Measurements of metabolic markers

Plasma creatinine levels were measured using an automated spectrophotometrical assay using creatininase, glucose with automated spectrophotometrical assay using glucose dehydrogenase, and glycated HbA1c with high-performance liquid chromatography. In 24-h urine samples, creatinine was measured by the Jaffé method, albumin with an immunonephelometric assay, and renal creatinine clearance was calculated.

Measurements of markers of platelet activation and endothelial dysfunction and VEGF

Platelet count was determined by automated optical scatter detection. Levels of vWF antigen (antibodies from DakoCytomation, Glostrup, Denmark), β-TG (Asserachrom β-TG; Diagnostica Stago, Roche, Almere, the Netherlands), PF4 (Asserachrom PF 4; Diagnostica Stago), and VEGF (R&D Systems, Abingdon, U.K.) were determined by ELISA.

Statistical analysis

Statistical analysis was performed with the computer program SPSS version 12.0 (SPSS, Gorinchem, the Netherlands). Values are given as mean (± SD). Differences between subject categories were analyzed by ANOVA. Comparison of means for variables between non-DM and DM patient groups were performed with the Student t test for unpaired data. Pearson correlation coefficients were calculated between VEGF plasma levels and clinical indicators of microvascular complications, markers of glycemia, and platelet activation. Forward multiple linear regression analysis was performed with VEGF plasma levels as the dependent variable and those determinants that correlated in the univariate analysis with P < 0.10 as independent variables. With multiple comparisons, the level of significance was set at P < 0.01.

RESULTS

Table 1 shows that microvascular complications were related to duration of DM and age. Systolic blood pressure and use of ACE inhibitors per category increased with microvascular complications. Glycemic control and fasting glucose levels increased with DM categories (Table 2), and creatinine clearance, increasing albuminuria, and increased vWF plasma levels were related with DM and endothelial dysfunction (Table 2).
Table 2

Metabolic and platelet activation parameters according to category

Metabolic and platelet activation parameters according to category

VEGF levels in blood samples

In PECT plasma, VEGF levels were invariably low in both non-DM and DM subjects [mean ± SD (range): 6.1 ± 9.4 (0–35) vs. 6.1 ± 9.5 (0–45) pg/mL]. VEGF levels in PECT plasma did not correlate with any markers of DM, endothelial dysfunction, in vivo or ex vivo platelet activation, DR, and DN. In contrast, VEGF levels in citrate plasma were significantly higher in DM patients as compared with control subjects [16.5 ± 12.0 (1–63) vs. 10.4 ± 4.9 (3–20) pg/mL; P = 0.03; Fig. 1] and correlated positively with HbA1c levels (r = 0.40; P < 0.0001), fasting glucose levels (r = 0.31; P < 0.004), vWF levels (r = 0.35; P < 0.002), PF4 levels (r = 0.32; P < 0.005), DR grade (r = 0.29; P < 0.007), and previous retinal photocoagulation (r = 0.34; P < 0.003) (Fig. 2). VEGF levels in citrate plasma showed no relation with VEGF levels in PECT plasma of the same patients, in vivo platelet activation, platelet count, smoking, blood pressure, or albuminuria.
Figure 1

Distribution of VEGF levels in citrate plasma (VEGFCITRATE; mean indicated by horizontal lines) in healthy subjects (N = 21) and patients with type 1 DM (N = 64).

Figure 2

The relationship between VEGF levels in citrate plasma (VEGFCITRATE) and its putative determinants in healthy subjects and patients with type 1 DM: glycated HbA1c (A), PF4 (B), vWF (C), fasting glucose (D), and previous treatment with panretinal laser photocoagulation (E).

Distribution of VEGF levels in citrate plasma (VEGFCITRATE; mean indicated by horizontal lines) in healthy subjects (N = 21) and patients with type 1 DM (N = 64). The relationship between VEGF levels in citrate plasma (VEGFCITRATE) and its putative determinants in healthy subjects and patients with type 1 DM: glycated HbA1c (A), PF4 (B), vWF (C), fasting glucose (D), and previous treatment with panretinal laser photocoagulation (E). Multiple linear regression analysis indicated that only PF4 and HbA1c levels were independent predictors of VEGF levels in citrate plasma (regression equation of citrate plasma levels was VEGF = −7.58 + 1.9 HbA1c + 0.08 PF4; r = 0.47; P = 0.0002). The residual sum of the squares indicated that 22% of the variation in VEGF levels in citrate plasma was explained by HbA1c and PF4 levels in citrate plasma. This indicates that VEGF in citrate plasma samples is derived from ex vivo platelet activation, but also that in patients with poor glycemic control, more VEGF is released ex vivo.

Platelet activation in vivo and in blood samples ex vivo

To further explore the cause of elevated VEGF in citrate plasma samples in type 1 DM, we investigated the contribution of in vivo platelet activation to VEGF levels in plasma. β-TG levels, as a measure of in vivo platelet activation (measured in case subjects without any ex vivo platelet activation as indicated by PF4 level <10 IU), were similar in DM subjects compared with non-DM subjects, indicating that platelet activation in vivo is not altered in type 1 DM. In citrate plasma samples, PF4 was used as parameter for ex vivo platelet activation. PF4 levels were not higher in DM subjects as compared with non-DM subjects (Table 2), indicating that platelets of DM and non-DM subjects are activated to a similar extent by blood-collection procedures. Taken together, our findings indicate that the higher levels of VEGF in citrate plasma samples in type 1 diabetes are caused by higher release of VEGF by individual platelets upon activation by the blood-harvesting procedure, in particular in patients with poorer glycemic control. Although not correlated with type 1 DM per se, β-TG levels in PECT plasma correlated positively with albuminuria (r = 0.38; P = 0.005), indicating that DN is associated with increased platelet activation in vivo.

CONCLUSIONS

The most important finding reported in this article is that free VEGF is only present at low levels in the circulation, both in DM and non-DM subjects, when platelet activation is inhibited during blood-sampling procedures by the use of PECT. This argues against a role of circulating VEGF in endothelial dysfunction in type 1 DM. Previous studies have suggested such a role on the basis of VEGF levels found in citrate or EDTA plasma (19,23,24). We demonstrate in this study that the two- to threefold higher VEGF levels in citrate plasma compared with PECT plasma, as were reported in the literature (19,23,24) and confirmed in the current study, originate from artificial ex vivo release of VEGF in plasma samples. The main sources of VEGF in blood are activated platelets and leukocytes (10,11), whereas in PECT medium, platelet activation but not leukocyte activation is inhibited (30). Therefore, our results suggest that activated platelets are the main source of VEGF in citrate plasma samples. The strong correlation between citrate plasma levels of VEGF and PF4, a marker for ex vivo platelet activation (31), confirms this conclusion. These observations are in line with results from our recent study (32) in cancer patients in whom levels of circulating VEGF, reported by others as a biomarker for angiogenic activity (35), were studied in PECT plasma compared with citrate or EDTA plasma (32). This study indicated that levels of freely circulating VEGF are not elevated in the majority of cancer patients with widespread metastases. Only patients with renal cell carcinoma, a cancer type characterized by excessive VEGF production due to a specific genetic defect, showed elevated circulating VEGF levels. In addition, this study indicated that the elevated plasma VEGF levels in cancer patients previously reported by others can be explained by release from platelets with an increased VEGF content, activated during the blood-harvest procedure (32,36). As in cancer patients, levels of VEGF in citrate plasma samples were significantly higher in patients with type 1 DM than in non-DM subjects. In multivariate analysis, only HbA1c and PF4 were found to be independent determinants of VEGF levels in citrate plasma. As platelet activation in vivo was not increased in our DM subjects as compared with non-DM subjects, the correlation of VEGF levels with PF4 indicates that ex vivo release of VEGF from platelets activated during blood sample collection is an important source of VEGF in citrate plasma samples. The independent correlation between VEGF and HbA1c, which has not been reported previously, suggests that in type 1 diabetes, poor glycemic control alters individual platelets in such a way that more VEGF is released upon activation. This is in line with our study in cancer, which showed that elevated levels of VEGF in citrate plasma samples could be explained by an increased VEGF content of individual platelets in patients with metastatic cancer (36). We can only speculate what these results mean for the understanding of a possible role of VEGF in endothelial dysfunction in type 1 DM (4,5), but the possibility of higher release of VEGF from individual platelets in tissue capillaries in patients with poor glycemic control should be explored as a potential contributor to endothelial dysfunction in diabetic patients (37). However, the low levels of VEGF in PECT plasma indicate that efficient mechanisms exist in the circulation to remove or inactivate this potent cytokine (38). One of these may be elevated levels of the soluble VEGF receptor sFLT-1 in DM (21), but platelets may also have a role in this respect. In fact, studies of VEGF in blood in cancer patients not only suggest that platelets are a carrier of VEGF, but also that platelets may act as scavengers of free VEGF in the circulation (8–10,36). Another explanation of our results is therefore that individual platelets in type 1 DM carry more VEGF that has been scavenged after being produced in tissues, possibly induced by high plasma levels of glucose and/or advanced glycation end products (15–18,39). This explanation is supported by our finding and that of others that in patients with proliferative DR, in whom high amounts of VEGF are produced in the eye (6), particularly high VEGF levels were found in citrate plasma (25) but not in PECT plasma and by our observation that increased in vivo platelet activation in patients with established DN was not associated with an increase in VEGF levels in PECT plasma. In conclusion, 1) the low levels of VEGF in vivo as determined in PECT plasma do not support a role of circulating VEGF in endothelial dysfunction in type 1 DM; 2) platelet activation in PECT plasma (ex vivo) or in vivo is not increased in DM in general, but platelet activation in vivo is associated with DN; 3) VEGF in citrate plasma mainly originates from artificial ex vivo release by activated platelets, and the higher levels previously reported in DM appear due to increased release of VEGF by platelets related to poor glycemic control; and 4) VEGF plasma levels have to be measured while avoiding ex vivo platelet activation.
  39 in total

Review 1.  Molecular insights and therapeutic targets for diabetic endothelial dysfunction.

Authors:  Jian Xu; Ming-Hui Zou
Journal:  Circulation       Date:  2009-09-29       Impact factor: 29.690

2.  Both vascular endothelial growth factor and soluble Flt-1 are increased in type 2 diabetes but not in impaired fasting glucose.

Authors:  Debashis Nandy; Debabrata Mukhopadhyay; Ananda Basu
Journal:  J Investig Med       Date:  2010-08       Impact factor: 2.895

Review 3.  Mechanisms of ocular angiogenesis and its molecular mediators.

Authors:  Martin J Siemerink; Albert J Augustin; Reinier O Schlingemann
Journal:  Dev Ophthalmol       Date:  2010-08-10

4.  Vascular endothelial growth factor is bound in amniotic fluid and maternal serum.

Authors:  P Vuorela-Vepsäläinen; H Alfthan; A Orpana; K Alitalo; U H Stenman; E Halmesmäki
Journal:  Hum Reprod       Date:  1999-05       Impact factor: 6.918

5.  Elevated plasma vascular endothelial cell growth factor and thrombomodulin in juvenile diabetic patients.

Authors:  M McLaren; T A Elhadd; S A Greene; J J Belch
Journal:  Clin Appl Thromb Hemost       Date:  1999-01       Impact factor: 2.389

6.  Effects of acute hypoglycemia on inflammatory and pro-atherothrombotic biomarkers in individuals with type 1 diabetes and healthy individuals.

Authors:  Nino Gogitidze Joy; Maka S Hedrington; Vanessa J Briscoe; Donna B Tate; Andrew C Ertl; Stephen N Davis
Journal:  Diabetes Care       Date:  2010-07       Impact factor: 17.152

7.  Serum levels of basic fibroblast growth factor and vascular endothelial growth factor in children and adolescents with type 1 diabetes mellitus.

Authors:  A Malamitsi-Puchner; A Sarandakou; J Tziotis; C Dafogianni; C S Bartsocas
Journal:  Pediatr Res       Date:  1998-12       Impact factor: 3.756

8.  Effects of atorvastatin on circulating CD34+/CD133+/ CD45- progenitor cells and indices of angiogenesis (vascular endothelial growth factor and the angiopoietins 1 and 2) in atherosclerotic vascular disease and diabetes mellitus.

Authors:  R J Jaumdally; P K Y Goon; C Varma; A D Blann; G Y H Lip
Journal:  J Intern Med       Date:  2009-07-16       Impact factor: 8.989

Review 9.  Endothelial dysfunction and diabetes: roles of hyperglycemia, impaired insulin signaling and obesity.

Authors:  Wineke Bakker; Etto C Eringa; Pieter Sipkema; Victor W M van Hinsbergh
Journal:  Cell Tissue Res       Date:  2008-10-22       Impact factor: 5.249

Review 10.  Biomarkers of angiogenesis and their role in the development of VEGF inhibitors.

Authors:  N Murukesh; C Dive; G C Jayson
Journal:  Br J Cancer       Date:  2009-12-15       Impact factor: 7.640

View more
  14 in total

1.  Lipid mediators of inflammation and Resolution in individuals with tuberculosis and tuberculosis-Diabetes.

Authors:  Rupak Shivakoti; Jesmond Dalli; Dileep Kadam; Sanjay Gaikwad; Madhusudan Barthwal; Romain A Colas; Francesca Mazzacuva; Rahul Lokhande; Sujata Dharmshale; Renu Bharadwaj; Anju Kagal; Neeta Pradhan; Sona Deshmukh; Sachin Atre; Tushar Sahasrabudhe; Arjun Kakrani; Vandana Kulkarni; Swapnil Raskar; Nishi Suryavanshi; Sandy Chon; Akshay Gupte; Amita Gupta; Nikhil Gupte; María B Arriaga; Kiyoshi F Fukutani; Bruno B Andrade; Jonathan E Golub; Vidya Mave
Journal:  Prostaglandins Other Lipid Mediat       Date:  2019-11-11       Impact factor: 3.072

2.  Quantitative Assessment of the Apical and Basolateral Membrane Expression of VEGFR2 and NRP2 in VEGF-A-stimulated Cultured Human Umbilical Vein Endothelial Cells.

Authors:  Esmeralda K Bosma; Shahan Darwesh; Jia Y Zheng; Cornelis J F van Noorden; Reinier O Schlingemann; Ingeborg Klaassen
Journal:  J Histochem Cytochem       Date:  2022-07-25       Impact factor: 4.137

3.  A systematic review and meta-analysis of preanalytical factors and methodological differences influencing the measurement of circulating vascular endothelial growth factor.

Authors:  Ulrika Sjöbom; Anders K Nilsson; Hanna Gyllensten; Ann Hellström; Chatarina Löfqvist
Journal:  PLoS One       Date:  2022-07-06       Impact factor: 3.752

4.  Vascular endothelial growth factor plasma levels in depression and following electroconvulsive therapy.

Authors:  Karen M Ryan; Declan M McLoughlin
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2018-07-02       Impact factor: 5.270

5.  STREPTOZOTOCIN-INDUCED DIABETES MELLITUS - A PARADOX OF HIGH INTRINSIC PLATELET REACTIVITY AND LOW IN VITRO PLATELET AGGREGATION.

Authors:  A Scridon; M Perian; A Mărginean; A Vântu; D Gherţescu; C Fişcă; V Halatiu; T Grigoras; R C Şerban
Journal:  Acta Endocrinol (Buchar)       Date:  2019 Jan-Mar       Impact factor: 0.877

6.  Cross Talk between Lipid Metabolism and Inflammatory Markers in Patients with Diabetic Retinopathy.

Authors:  Roxanne Crosby-Nwaobi; Irini Chatziralli; Theodoros Sergentanis; Tracy Dew; Angus Forbes; Sobha Sivaprasad
Journal:  J Diabetes Res       Date:  2015-07-29       Impact factor: 4.011

7.  VEGF genetic polymorphisms may contribute to the risk of diabetic nephropathy in patients with diabetes mellitus: a meta-analysis.

Authors:  Li Sun; Quan Yuan; Ning Cao; Wei Guo; Li Yao; Jiang-Min Feng; Jian-Fei Ma; Li-Ning Wang
Journal:  ScientificWorldJournal       Date:  2014-08-11

8.  The Increased Circulating Plasma Levels of Vascular Endothelial Growth Factor in Patients with Type 1 Diabetes Do Not Correlate to Metabolic Control.

Authors:  Kailash Singh; Stellan Sandler; Daniel Espes
Journal:  J Diabetes Res       Date:  2017-03-21       Impact factor: 4.011

9.  Pre-Analytical Parameters Affecting Vascular Endothelial Growth Factor Measurement in Plasma: Identifying Confounders.

Authors:  Johanna M Walz; Daniel Boehringer; Heidrun L Deissler; Lothar Faerber; Jens C Goepfert; Peter Heiduschka; Susannah M Kleeberger; Alexa Klettner; Tim U Krohne; Nicole Schneiderhan-Marra; Focke Ziemssen; Andreas Stahl
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

10.  Platelet Dysfunction in Type 1 Diabetes: Stressing the Thromboxanes.

Authors:  Jaclyn A Wisinski; Michelle E Kimple
Journal:  Diabetes       Date:  2016-02       Impact factor: 9.461

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.