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Objective: To detect urinary volatile organic compounds [VOCs] in patients with idiopathic membranous nephropathy [iMN] and normal controls, and to examine whether or not urinary VOCs can act as biomarkers for the diagnosis of iMN independent of renal biopsy
Materials and Methods: Gas chromatography/mass spectrometry [GC/MS] was used to assess the urine collected from 63 iMN patients and 15 normal controls. The statistical methods of principal component analysis and partial least squares discriminant analysis were performed to process the final data in Common Data Format which were converted from GC/MS data
Results: Six VOCs in the urine samples of iMN patients exhibited significant differences from those of normal controls: carbamic acid monoammonium salt, 2-pentanone, 2,4-di-methyl-pentanal, hydrogen azide, thiourea, and 4-hepta-none were significantly higher than in controls [p < 0.05]
Conclusions: Six urinary VOCs were isolated from patients with iMN using GC/MS. The analysis of urinary VOCs using GC/MS could be developed into a non-invasive method for the detection of iMN.
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Humans , Male , Female , Adult , Middle Aged , Glomerulonephritis, Membranous , Membrane Potentials , Biomarkers , Gas Chromatography-Mass Spectrometry , UrineABSTRACT
Objective To measure the expression of CD80 and CD86 in renal tissue of lupus nephritis (LN) and explore its mechanism in the development of LN.Methods Forty-nine patients with active LN and 9 patients with minor glomerular abnormalities tissues as controls were studied.The expression of CD80, and CD86 in renal tissues was detected by immunohistochemical methods.Results CD86 was expressed extensively in glomerulus, periglomerular area, tubular epithelial cells and peritubular interstitium, while CD80 was expressed only in tubular epithelial cells and peritubular interstitium.Moreover, the percentage of CD+80 and CD+86 cells in tubular epithelial cells and peritubular interstitium showed a tendency to increase with tubulointerstitial damage.The expression of CD80 and CD86 in renal tissue correlated with the systemic lupus erythematosus (SLE) disease activity index score, the degree of proteinuria, creatinine clearance and anti- dsDNA antibody.Conclusions This study shows that increased CD80 and CD86 expression with the progression of tubulointerstitial lesion might play an important role in the development of lupus nephropathy, and the tubulointerstitial expression of CD80 and CD86 could potentially serve as a surrogate marker of SLE disease activity.The co-stimulatory molecules CDg, and CD86 might play an important role in the pathogenesis of LN.
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Objective To analyze morbidity and prognosis of acute kidney injury (AKI) in patients with acute leukemia after myeloablative allogenetic hematopoietic stem cell transplantation (HSCT).Methods Renal function and related clinical data in 66 patients receiving myeloablative alloHSCT were retrospectively analyzed.Renal function was evaluated by RIFLE criteria,which defines AKI as three grades of severity-risk (AKI-R),injury (AKI-I) and failure (AKI-F).Results Thirtyseven recipients (56.1%) developed AKI at a median of 29 days after allo-HSCT,including AKI-R(19 recipients,28.8 %),AKI-I (11 recipients,16.7 %),AKI-F (7 recipients,10.6 %).Compared with baseline value,serum creatinine level in the recipients was significantly increased at the 21st day after transplantation (P＜0.05).During 100 days after HSCT,the morbidity of AKI-F in recipients with HVOD and without HVOD were respectively (55.56 ± 22.22)% and (9.01 ± 4.75)% (P＜0.01).The morbidity of AKI in recipients with or without increased total bilirubin was respectively (68.75 ± 24.54)% and (8.38 ± 4.17)% (P＜0.01).The morbidity of AKI in recipients with or without increased CsA concentration was respectively (66.67 ± 10.29) % and (44.44 ± 8.28) % (P＜0.05).100-day survival rate in recipients after myeloablative allo-HSCT without AKI,with AKI-R,AKI-I and AKI-F was respectively (89.66 ± 5.66) %,(83.88 ± 8.54) %,(81.82 ± 11.63) % and (42.86 ± 18.7) % (P＜0.05).Conclusion AKI is one of the main complications in patients with acute leukemia after myeloablative allo-HSCT.The influence of different class AKI on the mortality was different.The earlier diagnosis,prophylaxis and treatment of AKI by the RIFLF criteria might increase the survival rate in recipients with HSCT.
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Objective To assess the incidence,risk factors and mortality of acute kidney injury(AKI)in patients with chronic myelogeneous leukemia(CML)after myeloablative allogenetic hematopoietic stem cell transplantation(HSCT). Methods Renal function in 93 CML patients undergone myeloablative allo-HSCT was retrospectively analyzed by the RIFLE criteria. Results Thirty-nine patients (41.9%) developed AKI at a median of 40 days after allo-HSCT, including 24 AKI-R patients(25.8%), 10 AKI-I patients(10.8%) and 5 AKI-F patients (5.4%). The morbidity of AKI in patients with ≥Ⅲ acute graft-versus-host disease (aGVHD) and without ＜Ⅲ GVHD was (81.82±11.63)% and (36.59±5.32)% (P=0.0037)rospectively. The morbidity of AKI in patients with increased total bilirubin and without increased total bilirubin was (72.73±13.43)% and (37.04±5.37)%(P=0.0192) respectively. ≥Ⅲ aGVHD was peor-prognostic factor of AKI and RR was 2.773 [95%CI (1.073-7.167), P=0.035]. RR of AKI-I and AKI-F in patients with ≥Ⅲ aGVHD was 6.320195%CI (1.464-27.291), P=0.013]. The mortality within 100 days after allo-HSCT of patients with AKI was significantly different as compared to patients without AKI (P=0.001). Six-mouth survival rates of different class AKI patients after myeloablative allo-HSCT were (86.96±7.02)% (AKI-R), (70.00±14.49)% (AKI-I), 0 (AKI-F) (P=0.000)respectively. Conclusions AKI is one of the main complications in CML patients after myeloablative allo-HSCT. ≥Ⅲ aGVHD and increased total bilimbin are poor-prognostic factors of AKI, and higher morbidity of AKI-I and AKI-F can be found in patients with ≥Ⅲ aGVHD. With the deteriorated AKI, 6-month survival is decreased. RIFLE criteria is sensitive to the early diagnosis of renal function. Moreover RIFLE can monitor the progression of AKI and predict the clinical outcome.