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1.
Zhonghua Yi Xue Za Zhi ; 99(12): 889-894, 2019 Mar 26.
Article in Chinese | MEDLINE | ID: mdl-30917436

ABSTRACT

Objective: To observe the clinicopathologic features and prognostic of patients with IgA nephropathy (IgAN) superimposed on transplant glomerulopathy (TG+ IgAN). Methods: Electronic medical records of Jinling Hospital were searched for TG+ IgAN patients that was diagnosed during January 2004 to December 2016. Clinicopathologic features and prognoses information were retrieved and analyzed. The primary outcome was initiation of replacement therapy or an eGFR declined to<15 ml·min(-1)·(1.73m(2))(-1). Results: A total of 49 patients with pathologically confirmed TG+ IgAN were enrolled in this study. The median time from renal transplantation to allograft biopsy was 85 months. There were 131 patients with TG in the control group. There was no statistical difference in the age, gender, and immunosuppressive regimen during renal biopsy in the two groups. In TG+ IgAN patients, the median serum creatinine level was 175 µmol/L, the median urinary protein was 1.45 g/24 h, and 16.3% of the patients had nephrotic range proteinuria, the incidence of microscopic hematuria was 40.8%, and the average hemoglobin was 105 g/L. In terms of pathology, the degree of glomerular mesangial matrix hyperplasia in the TG+ IgAN group was significantly heavier compared with TG group (P=0.004), and the degree of hyaline degeneration of the small arteries was lighter (P=0.043). There was no significant difference in interstitial inflammation (i), tubulitis (t), glomerulitis (g), peritubular capillaritis (ptc) and intimal arteritis (v). Calculated by Kaplan-Meier method, the median survival time of 49 patients with TG+ IgAN was 36.9 months, and there was no difference in survival rate of allografts compared with TG group. Conclusions: Compared with TG patients without IgA, TG+ IgAN patients had higher incidence of microscopic hematuria, more severe glomerular mesangial matrix hyperplasia, and no significant differences in other clinicopathological features. The prognosis of TG+ IgAN patients was not significantly different from those without IgAN.


Subject(s)
Glomerulonephritis, IGA , Biopsy , Humans , Kidney Glomerulus , Kidney Transplantation , Prognosis , Proteinuria
2.
Transplant Proc ; 46(10): 3383-9, 2014 Dec.
Article in English | MEDLINE | ID: mdl-25498056

ABSTRACT

INTRODUCTION: Plasma concentration monitoring is commonly used to adjust immunosuppressant dosage in transplant recipients, but adjustment is often based on clinical experience rather than rigorous quantitative indicators. METHODS: We examined the effect of mycophenolate mofetil (MMF) dosage on graft survival by pathologic and immunologic analysis of 88 kidney recipients who were given a postoperative immunosuppressive regimen of tacrolimus (FK506), MMF, and corticosteroids. Patients were given a conventional dosage (≥1.5 g/d; n = 40) or a reduced dosage (n = 48) of MMF owing to postoperative adverse side effects. RESULTS: The reduced-dose group included patients given low doses (≤1.0 g/d; n = 27), ultra-low doses (≤0.5 g/d; n = 15), and those who discontinued MMF (n = 6). The dose reduction group had increased acute rejection, chronic rejection, and graft dysfunction, poorer pathologic scores, and increased cell infiltration of graft tissue (CD4, CD8, CD68, and CD138 positivity) and expression of interleukin-2R and HLA-DR. Finally, hazard analysis indicated that patients given low doses and ultra-low doses of MMF had poorer long-term kidney grafts survival (hazard ratios of 1.52 and 1.78, respectively). CONCLUSIONS: These results indicate the importance of using an appropriate dosage of MMF in kidney transplant recipients.


Subject(s)
Graft Rejection/pathology , Graft Survival/drug effects , Immunosuppressive Agents/administration & dosage , Kidney Transplantation , Mycophenolic Acid/analogs & derivatives , Adrenal Cortex Hormones/administration & dosage , Adult , Biopsy , Drug Therapy, Combination , Female , Graft Rejection/immunology , Graft Rejection/prevention & control , Graft Survival/immunology , Humans , Kidney/pathology , Male , Middle Aged , Mycophenolic Acid/administration & dosage , Prednisone/administration & dosage , Retrospective Studies , Tacrolimus/therapeutic use
3.
Genet Mol Res ; 12(4): 4751-9, 2013 Oct 18.
Article in English | MEDLINE | ID: mdl-24222250

ABSTRACT

This study used DNA microarray data to identify differentially expressed genes of osteoporosis and provide useful information for treatments of the disease. We downloaded gene expression data of Osteoporosis GSE35956 from the Gene Expression Omnibus database, which included five normal and five osteoporosis samples. We then identified the differentially expressed genes between normal and disease samples using the R language software, and constructed the protein interaction network. DAVID was used to perform the biological process enrichment and KEGG pathway cluster analyses. We used the Cytoscape plug-in unit, Cluster ONE, to perform cluster module analysis to find hub proteins of the network module and to analyze their Gene Ontology (GO) functions. A total of 294 genes were found to be differentially expressed between normal and disease samples, which were used to construct the differential gene-protein interaction network. GO function analysis revealed that the genes' functions were mainly involved in the intracellular signaling cascade. KEGG pathway analysis suggested that the main metabolic pathways of these genes were those of cancer: the neurotrophin/T cell/Fc epsilon RI/B cell/ ErbB/p53 signaling pathway, the cell cycle pathway, and the chronic myeloid leukemia pathway. Screening analysis of hub proteins revealed that KRT18 had the highest hub degree. In conclusion, we found differentially expressed genes related to osteoporosis. GO biological process enrichment and KEGG pathway enrichment analyses identified significant osteoporosis genes and their molecular functions. Finally, module analysis of hub proteins in interaction networks showed that cell death was one of the main biological processes of osteoporosis genes.


Subject(s)
Osteoporosis/metabolism , Protein Interaction Maps , Transcriptome , Case-Control Studies , Cluster Analysis , Gene Expression Regulation , Gene Ontology , Humans , Keratin-18/genetics , Keratin-18/metabolism , Osteoporosis/genetics , Software
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