| Literature DB >> 30642356 |
Thomas Kerforne1,2,3, Frédéric Favreau1,4,5, Tackwa Khalifeh1,6, Souleymane Maiga1, Geraldine Allain1,3,7, Antoine Thierry1,3,8, Manuel Dierick9, Edouard Baulier1,3,10, Clara Steichen1,3, Thierry Hauet11,12,13,14,15.
Abstract
BACKGROUND: Renal transplantation is increasingly associated with the presence of comorbidity factors such as dyslipidemia which could influence the graft outcome. We hypothesized that hypercholesterolemia could affect vascular repair processes and promote post-transplant renal vascular remodeling through the over-expression of the anti-angiogenic thrombospondin-1 interacting with vascular endothelial growth factor-A levels.Entities:
Keywords: Kidney transplantation; Oxidized LDL; Vascular remodeling
Mesh:
Substances:
Year: 2019 PMID: 30642356 PMCID: PMC6332834 DOI: 10.1186/s12967-018-1764-4
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Fig. 1The inhibition of endothelial cells proliferation induced by OxLDL is mediated by TSP-1. OxLDL incubation induced an increase of ADAMTS-1 expression in HAEC without effect on TSP-1 and PhosphoVEGF-R2 protein expression (a; N = 3). Alpha5beta3 integrin expression on HAEC was reduced by OxLDL and human recombinant TSP-1 (b; N = 3). OxLDL enriched culture medium induced an increases secretion of TSP-1 by HAEC (c, N = 3). The inhibition of VEGF-proliferation cells induced by OxLDL was limited by SiRNA targeted TSP-1 (D, N = 4)
Summary table of kidney function and blood metabolites of transplanted animals fed either a normal or a high-fat diet maintained for 3 months after surgery (M3)
| D0 | D3 | D7 | M1 | M3 | |
|---|---|---|---|---|---|
| Creatinine clearance (ml/min) | |||||
| Normal diet | / | 7.8 ± 7.5 | 22.1 ± 3.3 | 71.9 ± 22.3 | 64.5 ± 35.3 |
| High-fat diet | / | 8.6 ± 14.3 | 24.7 ± 26.7 | 61.4 ± 22.3 | 58.5 ± 26.1 |
| Urinary ratio protein/creatinine (mg/mmol) | |||||
| Normal diet | / | / | / | 124 ± 5 | 108 ± 4 |
| High-fat diet | / | / | / | 236 ± 12* | 183 ± 9* |
Values are mean ± SD
* p < 0.05 vs. normal diet, n = 5–6 in each group
Fig. 2High-fat diet increases HIF1a expression in porcine auto-transplanted kidneys. Immunofluorescence staining in cortex tissue for HIF1a in high-fat or normal diet groups, 3 months after renal auto-transplantation surgery. Scale bars represent 100 µm (magnification ×40; n = 5 in each group)
Fig. 3High-fat diet reduces VEGF expression in porcine auto-transplanted kidneys. Immunofluorescence staining in cortex tissue for VEGF in high-fat or normal diet groups, 3 months after renal auto-transplantation surgery. Scale bars represent 100 µm (magnification ×40; n = 5 in each group)
Fig. 4High-fat diet reduces pro-angiogenic pathways in porcine auto-transplanted kidneys. Expression by western blotting of proteins involved in pro-angiogenic pathways: HIF1a, VEGF-A, ADAMTS-1, MMP-9, SDF-1, alpha5beta3 integrin (a, b). Values significantly different from the normal diet group are represented by *p < 0.05; n = 5 in high-fat diet and n = 6 in normal diet group
Summary table of semi-quantification of kidney stainings in transplanted animals fed either a normal or a high-fat diet maintained for 3 months after surgery (M3)
| Normal diet | High-fat diet | |
|---|---|---|
| Renal HIF1a expression by field | ||
| Positive tubules | 5.40 ± 0.53 | 11.52 ± 0.58* |
| Positive cells | 5.00 ± 0.63 | 11.88 ± 1.00* |
| Surface area (%) | 6.00 ± 0.35 | 13.70 ± 0.91* |
| Renal VEGF-A expression by field positive vessels | 6.98 ± 0.47 | 2.78 ± 0.32* |
| Renal TSP-1 expression by field | ||
| Positive glomerulus parietal cell | 2.54 ± 0.28 | 2.72 ± 0.35 |
| Positive glomerulus | 1.73 ± 0.29 | 3.12 ± 0.28* |
| Positive tubules | 2.69 ± 0.47 | 9.03 ± 1.39* |
| Interstitium staining (%) | 4.00 ± 0.63 | 16.83 ± 0.70* |
| Tubular atrophy (%) | 6.35 ± 1.30 | 16.80 ± 0.74* |
| Trichrome staining (%) | 6.31 ± 0.78 | 16.81 ± 0.47* |
Values are mean ± SD
* p < 0.05 vs. normal diet, n = 5 in each group
Fig. 5High-fat diet promotes TSP-1 expression in porcine auto-transplanted kidney. TSP-1 expression by immunofluorescence staining was assessed in cortical part from the kidney grafts subjected or not to a hyperlipidic diet. Scale bars represent 100 µm (Magnification ×40; n = 5 in each group)
Fig. 6Microvascular remodeling in the kidney graft exposed to high-fat diet. Representative renal α-SMA staining in kidney grafts 3 months after reperfusion in normal (A-a) or high-fat diet (A-b) groups (up, A) and quantification of media-to-lumen ratio (10 vessels by field, down, A). We explored in the same groups tubular atrophy by HES staining (Magnif. ×40; B); and insterstitial fibrosis by Masson trichrome staining (Magnific. ×40; C; n = 5 in each group). Scale bars represent 100 µm. Representative three-dimensional tomographic images of the renal cortical microcirculation in normal diet (D-a) or in hyperlipidic diet (D-b) and spatial density from different size vascular segments (D-c). High-fat diet reduced the average of vascular segment diameter (D-d; n = 5 in each group). Values significantly different from the normal diet group are represented by *p < 0.05
Fig. 7High-fat diet promotes apoptosis and macrophage infiltration in porcine auto-transplanted kidneys. Apoptotic cell death by TUNEL positive cell staining (A, scale bars represents 30 µm) and inflammatory ED1 positive cells infiltrated in graft by immunofluorescence staining (B, scale bars represents 40 µm) in normal diet (a) or high-fat (b) groups, 3 months after renal auto-transplantation surgery. *p < 0.05 vs. normal diet group; n = 5 in each group
Patient characteristics
| Normocholesterolemia | Hypercholesterolemia | |
|---|---|---|
| Donors | Donors | |
| Age (years) | 43 ± 9 | 53 ± 11 |
| Traumatic death (%, n) | 29 (2) | 33 (3) |
| Hemorrhagic and ischemic stroke (%, n) | 71 (5) | 67 (6) |
| Anastomosis time (min) | 42 ± 12 | 43 ± 9 |
| Cold ischemia time (min) | 888 ± 87 | 870 ± 180 |
| eGFRa | 81 ± 8 | 81 ± 6 |
Values are mean ± SD
* p < 0.05 vs. normocholesterolemia
aeGFR: estimated glomerular filtration rate according to the MDRD formula (mL/min/1.73 m2)
Fig. 8Hypercholesterolemia in renal transplanted patient is associated with an early down regulation of plasmatic VEGF-A. Patients were classified in two groups in relation to their plasma cholesterol levels the day before renal transplantation (a; n = 7–9). OxLDL levels were measured in the short term follow up of patients (2 weeks after transplantation) in plasma (b; n = 3–9) as well as VEGF-A (c; n = 3–8). Values significantly different from the hypocholesterolemic group are represented by *p < 0.05