Mechanisms of vascular instability in a transgenic mouse model of sickle cell disease

2000 ◽  
Vol 279 (6) ◽  
pp. R1949-R1955 ◽  
Author(s):  
K. A. Nath ◽  
V. Shah ◽  
J. J. Haggard ◽  
A. J. Croatt ◽  
L. A. Smith ◽  
...  

We investigated a transgenic mouse model of sickle cell disease, homozygous for deletion of mouse β-globin and containing transgenes for human βSand βS-antillesglobins linked to the transgene for human α-globin. In these mice, basal cGMP production in aortic rings is increased, whereas relaxation to an endothelium-dependent vasodilator, A-23187, is impaired. In contrast, aortic expression of endothelial nitric oxide synthase (NOS) is unaltered in sickle mice, whereas expression of inducible NOS is not detected in either group; plasma nitrate/nitrite concentrations and NOS activity are similar in both groups. Increased cGMP may reflect the stimulatory effect of peroxides (an activator of guanylate cyclase), because lipid peroxidation is increased in aortae and in plasma in sickle mice. Despite increased vascular cGMP levels in sickle mice, conscious systolic blood pressure is comparable to that of aged-matched controls; sickle mice, however, evince a greater rise in systolic blood pressure in response to nitro-l-arginine methyl ester, an inhibitor of NOS. Systemic concentrations of the vasoconstrictive oxidative product 8-isoprostane are increased in sickle mice. We conclude that vascular responses are altered in this transgenic sickle mouse and are accompanied by increased lipid peroxidation and production of cGMP; we suggest that oxidant-inducible vasoconstrictor systems such as isoprostanes may oppose nitric oxide-dependent and nitric oxide-independent mechanisms of vasodilatation in this transgenic sickle mouse. Destabilization of the vasoactive balance in the sickle vasculature by clinically relevant states may predispose to vasoocclusive disease.

Author(s):  
Richard R. BEHRINGER ◽  
Thomas M. RYAN ◽  
Michael P. REILLY ◽  
Toshio ASAKURA ◽  
Richard D. PALMITER ◽  
...  

2007 ◽  
Vol 21 (6) ◽  
Author(s):  
Renata K Polanowska‐Grabowska ◽  
Robert A. Figler ◽  
Melissa M Marshall ◽  
Kori Wallace ◽  
Adrian R. L. Gear ◽  
...  

Haematologica ◽  
2015 ◽  
Vol 100 (7) ◽  
pp. 870-880 ◽  
Author(s):  
B. T. Kalish ◽  
A. Matte ◽  
I. Andolfo ◽  
A. Iolascon ◽  
O. Weinberg ◽  
...  

1991 ◽  
Vol 10 (11) ◽  
pp. 3157-3165 ◽  
Author(s):  
M. Trudel ◽  
N. Saadane ◽  
M.C. Garel ◽  
J. Bardakdjian-Michau ◽  
Y. Blouquit ◽  
...  

1996 ◽  
Vol 98 (11) ◽  
pp. 2450-2455 ◽  
Author(s):  
M E Fabry ◽  
R P Kennan ◽  
C Paszty ◽  
F Costantini ◽  
E M Rubin ◽  
...  

2020 ◽  
Vol 34 (7) ◽  
Author(s):  
Charles Antwi‐Boasiako ◽  
Gifty Boatemaah Dankwah ◽  
Robert Aryee ◽  
Charles Hayfron‐Benjamin ◽  
George Aboagye ◽  
...  

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 259-259
Author(s):  
Lisa M. Williams ◽  
Zongming Fu ◽  
Pratima Dulloor ◽  
Kun Yan ◽  
John J. Strouse ◽  
...  

Abstract Abstract 259 Objectives: Silent cerebral infarction (SCI) occurs in approximately 27% of children with sickle cell disease (SCD) by age 6 years, and is associated with decreased neurocognitive function and a 14-fold increased risk of progression to overt stroke. While several clinical parameters, such as increased white blood cell (WBC) and platelet counts and decreased hemoglobin (Hb) or hematocrit, have been reported in the literature to be associated with SCI, to date no validated biomarkers exist to predict SCI in patients with SCD. Furthermore, recent unpublished data from the Silent Infarct Transfusion (SIT) Trial has identified systolic blood pressure and total hemoglobin as risk factors. The aim of this study was to identify candidate biomarker plasma proteins that correlate with SCI in patients with SCD. Methods: We used a proteomic discovery approach involving three sequential separation steps to compare the plasma proteomes of 15 children with SCD (7 with SCI and 8 without SCI), aged 5–15 years. Baseline steady-state plasma samples were obtained from the SIT Trial Biologic Repository and matched for age, Hb and WBC. Plasma samples were Hb depleted in the first dimension, separated using immunoaffinity depletion and reverse phase liquid chromatography fractionation, and then trypsin-digested for characterization using label-free quantification on a LTQ-Orbitrap (Thermo) mass spectrometer. The resulting MS/MS data were analyzed using PASS (Integrated Analysis, Bethesda, MD) with X! Tandem searches (www.thegpm.org; version 2008.12.01) of the International Protein Index peptide database (human, 3.19). We measured candidate proteins in a validation cohort of 116 children with SCD (n=65 SCI, 51 non-SCI) and 24 age-matched, healthy African American control subjects using enzyme-linked immunosorbent assays (thrombospondin 1 [TSP1], L-selectin, RandD Systems, Minneapolis, MN) and immunoassays (E- and P-selectin, Mesoscale Discovery, Maryland). All samples were run in duplicate according to the manufacturers' protocols. Statistical differences in biomarker plasma concentrations between groups were compared by the Mann-Whitney U test. Results: TSP1 (5 peptides) and L-selectin (3 peptides) were among 335 proteins that showed differential detection between the SCI and non-SCI groups based on the spectral counts. TSP1 is an extracellular matrix glycoprotein that is involved with platelet aggregation, inhibition of neovascularization and tumorigenesis and has been shown to promote the adherence of sickle erythrocytes to the vascular endothelium. L-selectin is an adhesion molecule that mediates leukocyte interaction with the vascular endothelium. In a validation cohort of 116 children with SCD (n=65 SCI, 51 non-SCI) and 24 age matched, healthy African American control subjects, TSP1 and L-selectin were both significantly increased in SCI vs. non-SCI groups (median 8.5 vs. 6.2 μ g/ml for TSP1, P =0.03; 1.5 vs. 1.4 μ g/ml for L-selectin, P =0.03). As expected, neither TSP nor L-selectin were elevated in the age-matched normal controls (median=4.6 μ g/ml for TSP1, P =0.10, 1.2 μ g/ml for L-selectin, P =0.10). The specificity of the L-selectin results was verified by demonstrating that E-selectin and P-selectin were not increased in the SCI group. TSP1 was correlated with baseline oxygen saturation in both the SCI and non-SCI groups (r=-0.51, and r=-0.35, P<0.001). L-selectin correlated with systolic blood pressure in the SCI group only (r=0.3, P<0.02). Conclusions: TSP1 and L-selectin may represent the first two plasma biomarkers of SCI in children with SCD. Although further studies are needed, these and other potential biomarkers may provide insight into the pathophysiology of SCI, and may fill an important clinical need in identifying children with SCD who are at risk for SCI. Disclosures: No relevant conflicts of interest to declare.


PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74193 ◽  
Author(s):  
Pallav Bhatnagar ◽  
Emily Barron-Casella ◽  
Christopher J. Bean ◽  
Jacqueline N. Milton ◽  
Clinton T. Baldwin ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 981-981
Author(s):  
Andrew Campbell ◽  
Biree Andemariam ◽  
Fredericka Sey ◽  
Connie M. Piccone ◽  
Baba PD Inusa ◽  
...  

Abstract Background The prevalence of renal disease in sickle cell disease (SCD) is strikingly high and is associated with morbidity and mortality (Becker et al 2010, Powars et al 2005). In SCD children there is initially hyperfiltration with high GFRs followed by increasing proteinuria in the adolescent and adult SCD pts. (Becker at al 2010). Historically, hypertension (HTN) has been associated with Renal Disease in the general population and a few adult sickle cell nephropathy studies. HTN has been associated with Stroke in SCD. In an ongoing multicenter, international Renal SCD Cohort Study, we investigated the association Microalbuminuria and Macroalbuminuria to Patients Blood Pressure (SBP and DBP), Hypertension based on CSSCD Group Age Defined BP for SCD patients >90%tile (Pegelow et al 1997), and Family history (FH) of Hypertension and Renal Disease in a Crossectional (Peds and Adults), International, Multicenter group of SCD patients. Methods 272 pediatric and adult SCD (3-59 y/o) patients were recruited at baseline from 6 Centers (USA: Univ of Michigan, Case Medical Center/Rainbow Babies, Albert Einstein-Montefiore Medical Center, Univ of Connecticut; Italy: Univ. of Padova, Univ of Naples; Ghana: Korle-Bu Teaching Hospital). 88%(N=236) were severe SCD (SSorSBeta Zero) and 12%(N=31) were Mild Phenotype (SC or SBetaPlus). 58% were Children (<18y/o) and 42%(>18y/o) adults. FH of HTN and Renal Disease were obtained in 1st and 2nddegree relatives. Clinical history and laboratory studies including Pain crises patterns, SBP, DBP, BMI, CBC, Serum Crt, were collected. We obtained Urine Microalbumin/Crt(UMA) (mg/gm) obtained in 169 patients and categorized patients into 1) No Microalbuminuria(No UMA)<30mg/gm, 2) Microalbuminuria(MicroUMA) 30-299mg/gm and 3) Macroalbuminuria (MacroUMA) and obtained Urine protein/crt gm/gm(UProtCrt) in 101 SCD pts and were categorized 1) No proteinuria(NoUProt) <0.2 and 2) Macroproteinuria(MacroUProt)>0.2. Patient’s HTN was defined based on CSSCD SBP or DBP> 90%tile for each specifically defined age group( Pegelow et al 1997). Results In our SCD Renal Cohort Study, NoUMA in 71%(110/169), MicroUMA in 29%(48/169), MacroUMA in 2.2%(6/169) were observed. We also found NoUProt in 75%(N=75) and MacroUProt in 25%(n=25) within our cohort. Severe SCD pts represented 96%(n=46) of the MicroUMA pts, 100% or MacroUMA pts(N=6), and 92% MacroUProt pts(N=23). Proteinuria was disproportionately represented within the Adult SCD pts : 50% of Adults with MicroUMA(n=31) while only 16%(n=17) of Peds. UMA Mean Adult levels was 102(mean) vs. Peds UMA levels of 22(mean),(p=0.009); Also, Adult UProtCrt=0.21(mean)levels were >Peds=0.16, (p<0.001). HTN defined as SBP>90%tile or DBP >90%tile was present in 30%of the subjects(n=77).Thirty-One Percent(n=32) of Adults and 30%(n=45) of Peds pts had HTN. In a Bivariate Analysis(Pearson’s Correlation), HTN was not associated with UMA levels(p=0.919) or UPrtCrt levels(p=0.330). Further, mean UMA was lower in HTN SCD pts( m=24) vs NonHTN(SBP) pts(m=51). Mean UProt levels lower in the HTN group(0.15 ) vs NonHTN(0.20). SBP alone was not associated with UMA( p=0.083), UPrt( p=0.804) levels, MicroUMA(p=0.596). While FH of HTN was common in 75% of pts, FH HTN was not associated with UMA and UProtCrt levels, MicroUMA, MacroUMA, MacroUProt( p>0.05) patients. FH of Renal Disease was not associated with Proteinuria within our Cohort. However, Age( p<0.001: UProtCrt levels, UMA levels, MicroUMA, SBP) and hemoglobin(p=0.034: UProt Crt levels) was significantly associated with proteinuria within our cohort based on Bivariate Analysis. BMI was associated with SBP(p<0.001) and DBP(p<0.001) but not UProt or UMA levels. Further analysis revealed increasing proteinuria(UMA) within aging SCD pts:( 6-10 UMA= 15, 11-19 UMA =42, >20y/o UMA=114)(p=.035 One Way Anova) Conclusions Systolic Blood Pressure, HTN defined as SBP>90%tile or DBP >90%tile from the CSSCD Group, FH of HTN was not associated with Micro or Macroproteinuria based on UProtCrt and UMA levels in an international, cross-sectional cohort of SCD patients. Hemoglobin level and older age were strongly associated with proteinuria within our cohort of patients, consistent with previously well established studies. These findings are supportive of other factors outside of HTN including those intrinsic to SCD contributing to early onset SCD nephropathy. Disclosures: Perrotta: Novartis: Research Funding.


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