[Factors analysis of worsening renal function in patients with acute right ventricular myocardial infarction during hospitalization]

Objective: To analyze the related factors of worsening renal function (WRF) in patients with acute right ventricular myocardial infarction (RVMI) during hospitalization. Methods: A total of 98 patients with acute RVMI admitted to the emergency comprehensive ward of Beijing Anzhen Hospital from August 2011 to January 2020 were enrolled in this cross-sectional study. According to the situation of WRF, the patients were divided into non-WRF group (76 cases) and WRF group (22 cases). WRF was defined as ≥0.3 mg/dL increase in serum creatinine level from baseline on day 6 of hospitalization (if hospital stay<6 days, it was at discharge). Baseline data, intravenous fluid infusion, diuretic and significant positive balance of patients' intake and output volume [any 24 h intakes and outputs ≥1 000 ml or any consecutive 72 h intakes and outputs ≥2 000 ml within 6 d of hospitalization (if hospitalization<6 d, it was from admission to discharge)] were obtained, and the differences of above indicators between the two groups were analyzed. Multiple logistic regression model was used to analyze the related factors of WRF. Results: The ages of patients in WRF group and non-WRF group were 60 (50, 68) and 63 (52, 72) years, and the male proportions were 63.6% (14 cases) and 76.3% (58 cases), respectively, and there was no significant difference (all P>0.05). The proportion of positive balance was 31.8% (7 cases) in WRF group, which was higher than 14.5% (11 cases) in non-WRF group (P=0.034). The rate of loop diuretic use in WRF group was 4.5% (1 case), lower than that in non-WRF group 10.5% (8 cases) (P=0.027). After adjusting for age, sex, baseline estimated glomerular filtration rate (eGFR), preoperative isoproterenol/temporary pacemaker/atropine use, significant positive balance of intake and output volume, and loop diuretic use, it was found that eGFR≥60 ml·min^-1·1.73 m^-2 and significant positive balance were associated with WRF, the OR (95%CI) were 0.71 (0.62-0.86) and 1.21 (1.02-1.43) (both P<0.05); After eliminating the variable of significant positive balance in the above model, loop diuretic use was found to be a correlation factor for WRF, with an OR (95%CI) of 0.89 (0.72-0.97) (P<0.05). Conclusions: Significant positive balance of intake and output volume during hospitalization in patients with acute RVMI is a risk factor for WRF on day 6 or at discharge. In the presence of a significant positive balance, loop diuretic use is a protective factor for WRF.

MO384: Identifying Long Non-Coding RNA Biomarkers From Urinary Exosomes for Diabetic Nephropathy

BACKGROUND AND AIMS

Diabetic nephropathy (DN) is the common cause of end-stage renal disease. However, the early and specific diagnostic biomarkers are still lacking. Urinary exosomes are a potential source of biomarkers for kidney disease due to their renal cell origination, stability, and noninvasive collection. Long non-coding RNAs (lncRNAs) are increasingly recognized to be involved in diverse pathophysiological processes including kidney disease. Here we set to characterize the lncRNAs profiles in urinary exosomes of DN with aims to identify novel non-invasive biomarkers of DN.

METHOD

First-morning urine was collected from 11 healthy people, 9 patients with diabetes mellitus (DM), and 8 patients with biopsy-proven DN. Urinary exosomes were pelleted by ultracentrifugation and total RNA was extracted for next generation sequencing (NGS). The lncRNA profile of urinary exosomes was first characterized in terms of the detectable RNA numbers, expression levels in different groups. Then differential gene expression analysis was performed to facilitate the discovery of potential biomarkers.

RESULTS

Similar tremendous number of lncRNAs was detected with a total number of 6439 transcripts present in urinary exosomes in each group. In terms of the expression levels, the percentage of transcripts with TPM above 1 was 31.4%, 32.8%, 33.2% in the healthy group, DM and DN patients respectively, suggesting that no significant alteration of lncRNAs numbers and distribution in DN and diabetes conditions. Next, the differential expression analysis was performed to identify the distinct differential lncRNAs. Compared with healthy people, 18 lncRNAs were upregulated and 67 lncRNAs were downregulated in DM group, while 37 unregulated and 80 downregulated lncRNAs were identified in DN group. Moreover, the profile of lncRNAs in urinary exosomes was significantly different in DN patients compared to DM group with 59 lncRNAs upregulated and 36 lncRNAs downregulated. To explore the candidate biomarkers, 12 upregulated lncRNAs and 4 downregulated lncRNAs from the two comparison sets (DN versus Healthy, DN versus Healthy) were identified, among which FLJ16779 was present with the most remarkable difference. Further analysis showed that the sensitivity and specificity of FLJ16779 for distinguishing DN from healthy people are both 87.5%, and the area under the curve (AUC) was 0.9531. Additionally, the sensitivity and specificity of FLJ16779 for distinguishing DN from DM were 75% and 87.5% respectively, and AUC was 0.9063.

CONCLUSION

Urinary exosomes contain rich lncRNAs information with differential expression profiles in DN patients compared to DM and healthy controls, suggesting the possible involvement of lncRNAs in the pathogenesis of DN. lncRNA FLJ16779 might be a promising non-invasive biomarker of DN which requires further validation.

MO620: A LC-MS/MS Analysis of Proteins from Urinary Exosomes in Diabetic Nephropathy

BACKGROUND AND AIMS

Urinary exosomes are small extracellular vesicles mainly secreted by epithelial cells of urinary system, reflecting the composition and characteristics of bioactive molecules in physiology and disease conditions of kidney. Diabetic nephropathy (DN) has become the leading cause of CKD and ESRD in the world. The purpose of this study was to describe the proteomic characteristics by LC-MS/MS, and clarify the protein composition and functional changes of urinary exosomes in DN.

METHOD

A total of 50 mL of first morning urine were collected from 24 subjects, including healthy controls group (Ctrl, n = 8), type 2 diabetes mellitus (T2DM, n = 8) and renal biopsy confirmed DN (n = 8). Exosomes were isolated by differential centrifugation and proteins were extracted and analyzed by LC-MS/MS. The types and expression abundance of proteins in urinary exosome were identified. Differential expression proteins (DEPs) were screened, and gene ontology (GO) and Reactome pathway enrichment analysis were performed to reveal the composition and function changes of DEPs in urinary exosomes of DN.

RESULTS

Under transmission electron microscope, scattered vesicles with diameters of 40–100 nm were observed in the urine. Nanoparticle tracking analysis showed that the number of urine exosomes was about 10^ 11 to 10^ 12 in 24-h urine with a peak diameter of about 100 nm. Western blot showed the expression of CD63, TSG101 and CD9, which were regarded as the markers of exosome. An average of 3110 (2506∼3380) proteins were identified in the urinary exosomes of the 24 subjects. In each group, the numbers of co-expressed proteins in urinary exosomes of eight subjects were 1680, 1309 and 1416, respectively. GO Cellular Component (CC) analysis showed that extracellular exosomes ranked first in the functional annotation of co-expressed proteins. Subcellular localization showed that the proportions of proteins annotated as extracellular exosome in the three groups were 77%, 81% and 76%, respectively. In upregulated proteins of urinary exosome in DN, GOCC annotation showed that ‘Extracellular exosome’ ranks first. GO molecular function (MF) enrichment analysis showed that the top 10 terms identified that pathways associated with complement activation such as ‘Regulation of Complement activation’, ‘Complement activation,’ ‘Complement activation, classical Pathway’ and ‘Complement activation, alternative Pathway’. Reactome pathway analysis showed that ‘Complement cascade’ and ‘Regulation of complement cascade’ were significantly activated in the top 10 pathways.

CONCLUSION

Exosomes can be steadily isolated from urine of healthy adults, T2DM and DN, and about 2506 to 3380 proteins can be identified by LC-MS/MS technique, of which about 76%–83% are related to the secretion and composition of exosomes. DEP analysis showed significant enrichment of exosome production-related annotations in urinary exosomes in DN patients compared with HC or T2DM; GOMF and Reactome pathway enrichment analysis showed that pathways related to complement activation were significantly enriched in the urinary exosomes of DN. This study provides proteomics characters of urinary exosome for healthy adults, T2DM and DN patients, suggesting that the production of urinary exosome is increased during DN, and complement activation may be one of the main characteristics of urinary exosome in DN, of significance of reference for studying the pathogenesis and developing new biomarkers of DN.

MO619: Landscape RNA Profiling of Urinary Extracellular Vesicles in Patients with Diabetic Nephropathy

BACKGROUND AND AIMS

Recent studies have revealed that urinary extracellular vesicles (uEV) are secreted with rich biological information useful for understanding the pathophysiological conditions and identifying potential biomarkers for kidney disease. Diabetic nephropathy (DN) has become the major cause of CKD worldwide, while the features of uEV in DN were poorly understood. The present study aims to provide the landscape and in-depth analysis of the transcriptome characteristics of uEV in DN.

METHOD

Urine was collected from a total of 40 subjects, including healthy controls (HC, n = 14), type 2 DM (T2DM, n = 16), and renal biopsy-confirmed DN (n = 10). uEV was isolated by differential centrifugation and total RNA was extracted for long RNA sequencing. A model based on CIBERSORT was calculated to trace the genetic source of uEV toward resident cells of urinary system. Differentially expressed genes (DEG) between DN and HC and DN and T2DM were applied to gene ontology (GO), Reactome pathway enrichment, as well as gene set enrichment analysis (GSEA). Correlation of the transcriptome profiling between uEV and kidney tissue in DN was also explored.

RESULTS

About 67%∼68% of transcripts in RNA-seq were mRNA, 11%∼12% were LncRNA and 7%∼10% were CircRNA, and the abundance of mRNA was greater than other RNA types. By CIBERSORT model applying marker genes of podocytes, epithelial cells of tubule of different segments, loop of Henle, and collecting duct, and bladder transitional epithelial cells. The uEV was shown to originate mainly from the collecting duct epithelial cells of the kidney and bladder transitional epithelial cells (Fig. 1a). Confocal laser microscopy showed the co-localization of CD63 and AQP2 (Fig. 1b) in kidney tissues. GO and Reactome analysis were further performed in upregulated mRNA between DN and T2DM and DN and HC to explore the mRNA profiling in terms of the biological significance. Impressively, ‘extracellular exosome’ as well as other terms associated with constitution of EV, ‘plasma membrane’ and ‘extracellular space’ were enriched by GO cellular component (CC) analysis in DN. Besides, Reactome analysis identified pathways of ‘immune system’, ‘extracellular matrix organization’ and ‘degradation of extracellular matrix’ reflecting the pathogenesis mechanism of DN (Fig. 1c). Additionally, microarray data of DN glomeruli and tubule from the GEO database were analyzed in comparison to uEV RNA-seq data. GSEA showed that great similarities were found in the top 10 terms of Reactome pathways (Fig. 2).

CONCLUSION

In conclusion, this study provides a landscape transcriptome profile, the genetic trace and the biological function terms of uEV in DN. uEV holds potentials in reflecting the transcriptome characteristics of renal tissue, which is of significance for understanding the pathogenesis of DN and biomarker discovery.

[The Chinese guidelines for the diagnosis and treatment of pancreatic neuroendocrine neoplasms (2020)]

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Group of Pancreatic Surgery, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.

FC 091URINARY CCL5 MRNA, A POTENTIAL BIOMARKER FOR PROGRESSION OF TYPE 2 DIABETIC NEPHROPATHY

Background and Aims

In recent years, it has been found that targeted mRNA detection of sediment cells in urine can be used as novel biomarkers for the diagnosis of diabetic nephropathy (DN). However, its value in predicting the progression of DN is not clear. The purpose of this study is to seek for urinary mRNA markers that evaluate the prognosis of DN through systems biological screening, clinical verification and prospective studies.

Method

GEO database and “Nephroseq” platform were searched, and the transcriptome data of DN glomeruli and tubules and their clinical information were obtained. Weighted gene co-expression network analysis (WGCNA) combined with gene ontology (GO) annotation and KEGG pathway enrichment analysis were used to screen the hub genes negatively related to eGFR, and the hub genes were used as candidate markers for mRNA detection in urine sediment in DN patients. A total of 91 patients with DN diagnosed by renal biopsy were included, and 60 patients with type 2 diabetes and 61 healthy people were selected as the control groups. The mRNA expression of candidate molecules was detected by Taqman probe quantitative PCR, and the correlation between mRNA expression and eGFR and urinary protein levels were analyzed. Patients with DN were followed up for a median time of 21 months, and the primary end point was defied as end stage renal disease or eGFR decreasing by more than 50%. Multivariate Cox regression was used to evaluate the value of mRNA in predicting DN progression.

Results

GSE30528 and GSE30529 datasets were selected for analysis, including mRNA expression data of 9 cases of DN and 13 cases of normal glomeruli; and 10 cases of DN and 12 cases of normal tubules respectively. The clinical data of the patients in this study, including gender, race, age and eGFR, were searched on the Nephroseq platform. The gene modules negatively related to eGFR were screened by WGCNA. GO and KEGG analysis showed that the main function of the gene modules in both datasets were related to the activation of inflammatory cells and chemokines pathway. Through the screening of hub genes and the comparison of expression levels, CCL5, CXCL1, CXCL6 and CXCL12 were finally obtained as candidate genes. Quantitative PCR showed that the levels of CCL5 and CXCL1 was significantly increased in DN group, CCL5 was negatively correlated with eGFR and positively correlated with urinary protein level, while CXCL1 was negatively correlated with eGFR, but had no significant correlation with urinary protein level. Multivariate Cox regression showed that eGFR, urinary protein level, degree of renal fibrosis and urinary CCL5 were independent risk factors of primary end point.

Conclusion

The activation of chemokine signal pathway in renal tissue is involved in the progression of DN. Urinary CCL5 mRNA can independently predict the prognosis of DN and may be served as a novel biomarker for the progression of DN.

Identification of Lumican and Fibromodulin as Hub Genes Associated with Accumulation of Extracellular Matrix in Diabetic Nephropathy

INTRODUCTION

Diabetic nephropathy (DN) remains a major cause of end-stage renal disease. The development of novel biomarkers and early diagnosis of DN are of great clinical importance. The goal of this study was to identify hub genes with diagnostic potential for DN by weighted gene co-expression network analysis (WGCNA).

METHODS

Gene Expression Omnibus database was searched for microarray data including distinct types of CKD. Gene co-expression network was constructed, and modules specific for DN were identified by WGCNA. Gene ontology (GO) analysis was performed, and the hub genes were screened out within the selected gene modules. In addition, cross-validation was performed in an independent dataset and in samples of renal biopsies with DN and other types of glomerular diseases.

RESULTS

Dataset GSE99339 was selected, and a total of 179 microdissected glomeruli samples were analyzed, including DN, normal control, and 7 groups of other glomerular diseases. Twenty-three modules of the total 10,947 genes were grouped by WGCNA, and a module was specifically correlated with DN (r = 0.54, p = 9e-15). GO analysis showed that module genes were mainly enriched in the accumulation of extracellular matrix (ECM). LUM, ELN, FBLN1, MMP2, FBLN5, and FMOD were identified as hub genes. Cross verification showed LUM and FMOD were higher in the DN group and were negatively correlated with estimated glomerular filtration rate (eGFR). In renal biopsies, expression levels of LUM and FMOD were higher in DN than IgA nephropathy, membranous nephropathy, and normal controls.

CONCLUSION

By using WGCNA approach, we identified LUM and FMOD related to ECM accumulation and were specific for DN. These 2 genes may represent potential candidate diagnostic biomarkers of DN.

P0971IDENTIFICATION OF HUB GENES ASSOCIATED WITH THE DEPOSITION OF EXTRACELLULAR MATRIX AND SPECIFIC FOR DIABETIC NEPHROPATHY BY WEIGHTED GENE CO-EXPRESSION NETWORK ANALYSIS

Background and Aims

Diabetic nephropathy (DN) and its most severe manifestation, end-stage renal disease (ESRD), remains one of the leading causes of reduced lifespan in people with diabetes. Identifying novel molecules that are involved in the pathogenesis of DN has both diagnostic and therapeutic implications. The gene co-expression network analysis (WGCNA) algorithm represents a novel systems biology approach that provide the approach of association between gene modules and clinical traits to find the module involvement into the certain phenotypic trait. The goal of this study was to identify hub genes and their roles in DN from the aspect of whole gene transcripts analysis.

Method

Various types of chronic kidney diseases (CKD), including DN, microarray-based mRNA gene expression data, listed in the Gene Expression Omnibus (GEO) database, were analyzed. Next, we constructed a weighted gene co-expression network and identified modules distinguishing DN from normal or other types of CKD by WGCNA. Functional annotations of the genes in modules specialized for DN were analyzed by Gene Ontology (GO) enrichment analysis. Through protein-protein interaction (PPI) analysis and hub gene screening, the hub genes specific for DN were obtained. Furthermore, we drew ROC curves to determine the diagnosis and differential diagnosis value to DN of hub genes. Finally, another study of microarray in the GEO database was selected to verify the expression level of hub genes and in the “Nephroseq” database, the correlation between the gene expression level and eGFR was analyzed.

Results

“GSE99339”, glomerular tissue microarray in 187 patients with a total of 10947 genes, was selected for analysis. After excluding the inappropriate cases, a total of 179 specimens were analyzed, including 14 cases of DN, 22 cases of focal segmental glomerulosclerosis (FSGS), 15 cases of hypertensive nephropathy (HT), 26 cases of IgA nephropathy (IgAN), 13 cases of minimal change disease (MCD), 21 cases of membranous nephropathy (MGN), 23 cases of rapidly progressive glomerulonephritis (RPGN), 30 cases of lupus nephritis (LN) and 14 cases of kidney tissue adjacent to tumor. Co-expression network analysis by WGCNA identified 23 distinct gene modules of the total 10947 genes and revealed “MEsaddlegreen” module was strongly correlated with DN (r=0,54), but not with other groups. GO functional annotation showed that these 64 genes in the “MEsaddlegreen” module mainly enriched in the deposition of extracellular matrix, which represents the specific and diagnostic pathophysiological process of DN. Further PPI and hub gene screening analysis revealed that LUM, ELN, FBLN1, MMP2, FBLN5 and FMOD can be served as hub genes, which had been proved to play an important role in the deposition of extracellular matrix. Furthermore, we found that the expression of hub genes was the highest in DN group and for the diagnosis value of DN by each gene, the area under the ROC curve is about 0.75∼0.95. The external verification of another study showed that compared with the normal control group, the expression of these hub genes was the highest in the DN group, and their expression level was negatively correlated with eGFR.

Conclusion

Using WGCNA and further bioinformatics approach, we identified six hub genes that appear to be identical to DN development. As such, they may represent potential diagnostic biomarkers as well as therapeutic targets with clinical utility.

SO004IDENTIFICATION OF HUB GENES, FOCUSED ON CHEMOKINES AND CHEMOKINE RECEPTORS, ASSOCIATED WITH THE DECLINE OF RENAL FUCTION OF DIABETIC KIDNEY DISEASE BY WEIGHTED GENE CO-EXPRESSION NETWORK ANALYSIS

Background and Aims

The fact that activation of the innate immune system and chronic inflammation are closely involved in the pathogenesis of diabetic Kidney disease (DKD). Recent studies have suggested the inflammatory process plays a crucial role in the progression of DKD. Identifying novel inflammatory molecules closely related to the decline of renal function is of significance in diagnosing and predicting the progression of DKD. The weighted gene co-expression network analysis (WGCNA) algorithm represents a novel systems biology method that provide the approach of association between gene modules and clinical traits to find the genes involvement into the certain phenotypic trait. The goal of this study was to identify hub genes and their roles in DKD from the gene sets associated with the decline of renal function by WGCNA.

Method

The Gene Expression Omnibus (GEO) database and “Nephroseq” website were searched and transcriptome study from DN biopsies with well-established clinical phenotypic data were selected for analysis. Next, we constructed a weighted gene co-expression network and identified modules negatively correlated with eGFR by WGCNA in the data of glomerular tissue. Functional annotations of the genes in modules negatively correlated with eGFR were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Through protein-protein interaction (PPI) analysis and hub gene screening, the hub genes were obtained. Furthermore, we compared the expression level of hub genes between DKD and normal control and drew ROC curves to determine the diagnosis value to DKD of these genes.

Results

The microarray-based expression datasets GSE30528 were screened out for analysis, which included glomeruli tissue of 9 cases of DKD and 13 cases of control. This microarray platform represented the transcriptome profile of 12411 well-characterized genes. Using WGCNA, a total of 19 gene modules were identified. Then module eigengene were analyzed for correlation with clinical traits of age, sex, ethnicity and eGFR and the “MEhoneydew1” module showed negative associated with eGFR (r=-0.58). GO functional annotation showed that these 551 genes in the “MEhoneydew1” module mainly enriched in the T cell activation. KEGG annotation showed mainly enriched in chemokine signaling pathway. Except for C3, top 10 hub genes, CCR5, CXCR4, CCR7, CCL5, CXCL8, CCR2, CCR1, CX3CR1, C3AR1 and C3, are all members of chemokines or chemokine receptors. Furthermore, we compared the expression level of these 9 genes between DKD and control, and found that all of these 9 genes increased in the DKD group, and the differences of 6 genes, CCR5, CCR7, CCL5, CCR2, CCR1, C3AR1, were of statistical significance. Linear correlation analysis showed that the expression of these 6 genes was negatively correlated with eGFR, and the ROC curve showed that the area under the curve could reach 0.812∼1.0.

Conclusion

We identified a panel of 6 hub genes focused on chemokines and chemokine receptors critical for decline of renal function of DKD using WGCNA. These genes may serve as biomarkers for diagnosis/prognosis and as putative novel therapeutic targets for DKD.

[Impact of concomitant use of P2Y12 inhibitors and proton pump inhibitors on ischemia events in patients with acute coronary syndrome in real world]

Objective: The study aimed to analyze the impact of concomitant administration of P2Y12 inhibitors and PPIs on ischemia events in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI). Methods: We retrospectively analyzed data from a international, multi-center registry between 2003 and 2014 in patients with ACS after PCI, grouped the cohort into patients receiving PPIs or no PPIs and assessed 1-year clinical endpoint (all-cause death/re-infarction). Meanwhile, we grouped the cohort into patients receiving clopidogrel or ticagrelor, and compared the impact of concomitant administration of PPIs and clopidogrel or ticagrelor on 1-year clinical endpoint. Results: Of 9 429 patients in the final cohort, 54.8% (n=5 165) was prescribed a PPI at discharge. Patients receiving a PPI were more likely to have comorbidities. No association was observed between PPI use and the clinical endpoint (HR 1.00, 95% CI 0.86-1.18). Meanwhile, no association was found between PPI use and the clinical endpoint in patients receiving either clopidogrel or ticagrelor. And the clinical endpoint in patients administrated of clopidogrel and PPIs had no difference with that of ticagrelor and PPIs. Conclusions: In patients with ACS following PCI, increased risk of ischemia event was not found in the concomitant use of PPIs and P2Y12 inhibitors, and especially, compared with ticagrelor, clopidogrel was found no association with ischemia events when concomitant administrated with PPIs.

Human papillomavirus was not detected by PCR using multiple consensus primer sets in esophageal adenocarcinomas in Chinese patients

The role of human papillomavirus (HPV) infection in the development of esophageal squamous cell carcinoma is well established; however, there are few reports on the role of HPV in esophageal adenocarcinoma. To evaluate the putative role of HPV infection in esophageal adenocarcinoma, 57 formalin-fixed, paraffin-embedded esophageal adenocarcinoma specimens were collected from four hospitals in Shanghai and Anyang, China, between 1999 and 2008. HPV DNA was analyzed using PCR with multiple sets of consensus primers for HPV, GP5+/6+, CPI/CPIIG, SPF10, pU-1M/pU2R, and pU31B/pU2R. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), the internal control, was amplified successfully in all 57 specimens. However, HPV amplification was not detected in any specimens with any of the consensus primer sets used. The present study indicates that HPV infection is not likely to be a major factor in the etiology of esophageal adenocarcinoma in the Chinese population.

[Expression of neonatal Fc receptor on human nephritis and rat nephritis models]

OBJECTIVE

To study the expression of neonatal Fc receptor in podocytes in human nephritis and immune-induced rat nephritis models: anti-Thy1.1 nephritis and Heymann nephritis.

METHODS

Thirty-nine cases of renal biopsies were enrolled from September 2009 to February 2010, including 8 cases of minimal change disease, 4 cases of focal segmental glomerulosclerosis, 9 cases of membranous nephropathy, 12 cases of IgA nephropathy and 6 cases of lupus nephritis. Five normal kidney tissue samples adjacent to renal clear-cell carcinoma were served as normal controls. Laser capture microdissection and real-time RT-PCR were used to assess the expression level of FcRn mRNA in glomeruli of various glomerulonephritides, and immunohistochemistry (IHC) of FcRn by SuperVision method was performed. In addition, rat models of mesangial proliferative nephritis (anti-Thy1.1 nephritis) and passive membranous nephropathy (Heymann nephritis) were established and FcRn was examined in renal tissues by IHC.

RESULTS

The FcRn mRNA level in lupus nephritis was statistically higher than that of normal controls (P < 0.05). FcRn protein expression by IHC was seen in lupus nephritis (6/6), membranous nephropathy (6/9) and IgA nephropathy (7/12), significantly higher than that of normal controls (0/5), P < 0.05. Minimal change disease and focal segmental glomerular sclerosis showed minimal or none expression of FcRn (1/8, 0/4 respectively) and not statistically difference from that of normal controls. Furthermore, FcRn expression in podocytes was detected in rat anti-Thy1.1 (3/5) and Heymann nephritis models (2/7) but was not detected in normal controls.

CONCLUSIONS

Expression of FcRn in podocytes was up-regulated in immune-induced human nephritis and rat nephritis models of anti-Thy1.1 nephritis and Heymann nephritis. FcRn may play a role in the development of immune-induced glomerulonephritis.

The study of new SLA classical molecules in inbreeding Chinese Wuzhishan pig

The pig may be used as an alternative organ donor source in the future. The Wuzhishan miniature pig (WZSP) is a Chinese inbred mini pig with the highest inbreeding coefficient and has been used in many biologic experiments. We studied the classical MHC molecules of WZSP to confirm its pure gene background and to provide information for xenotransplantation.

METHODS

The classical class I (P1 and P14) and class II (DQA, DQB, DRA, and DRB) molecules were studied using RT-PCR. The products were cloned into a pGEM-T vector, respectively, sequenced and compared with related data for homology analysis.

RESULTS

WZSP is highly homologous (>90%) with NIH miniature swine for class I and class II molecules amino acids in alpha-3 domain responsible for the binding of human T-cell CD8 were largely conserved; only two critical residues were altered. The critical residues of class I molecules recognized by human natural killer (NK) cells were completely different from humans. Furthermore, new class II molecules were homologous (>70%) with the Chinese south population in amino acids. The amino acids for binding to human CD4 were identical in DRB and showed only two differences in DRA.

CONCLUSIONS

WZSP bears new alleles in porcine MHC-relevant loci. We might alter residues of class I molecules to avoid killing by human NK cells. The striking similarities of DRB would make WZSP less likely in compatible in xeno-rejection. We can also alter the two residues of the DRA sequence to make WZSP a better model for xenotransplant research in China.

Generation of KrF laser pulses on a picosecond time scale using electro-optic modulation

A new technique has been developed for the generation and shaping of KrF laser pulses on a picosecond time scale using a fast electro-optic modulator. Subnanosecond electrical pulses with an amplitude much greater than the half-wave voltage are applied to the Pockels cell, which generates a train of short ultraviolet pulses. The first pulse in this train is then isolated and shortened to 30 psec by the combined effect of propagation through a saturated amplifier and optical breakdown in xenon.