OBJECTIVETo understand the expression of complement regulatory proteins CD55 and CD59, which secreted by epithelial cells of normal and chronic sinusitis patients.

METHODSCell culture and flow cytometry were used to detect the expression of complement regulatory proteins CD55 and CD59.SPSS 18.0 software was used to analyze the data.

RESULTSCD55 was expressed both in normal nasal mucosa and mucosa of chronic sinusitis. The expression in normal group was 0.001 ± 0.001, significantly lower than that in CRS group which was 0.067 ± 0.028 (t = -10.535, P < 0.01). CD59 was also expressed in the two groups . In normal group, the expression of CD59 was 0.879 ± 0.005, significantly higher than that in CRS group which was 0.238 ± 0.034 (t = 83.416, P < 0.01).

CONCLUSIONSThe nasal mucosa in CRS patients showed low expression of CD55 and high expression of CD59. This mechanism may be involved in the occurrence of CRS.

CD55 Antigens ; metabolism ; CD59 Antigens ; metabolism ; Female ; Flow Cytometry ; Humans ; Rhinitis ; metabolism ; Sinusitis ; metabolism

Biomimetics ; Blood Cells ; metabolism ; CD55 Antigens ; blood ; CD59 Antigens ; blood ; Cell Membrane ; Humans ; Male ; Submarine Medicine

BACKGROUND: Final diagnosis of paroxysmal nocturnal hemoglobinuria (PNH) may take years demanding a quick diagnosis measure. We used the facts that PNH cells are damaged in acid, and reagents for measuring reticulocytes in Coulter DxH800 (Beckman Coulter, USA) are weakly acidic and hypotonic, to create a new PNH screening marker. METHODS: We analyzed 979 complete blood counts (CBC) data from 963 patients including 57 data from 44 PNH patients. Standard criteria for PNH assay for population selection were followed: flow cytometry for CD55 and CD59 on red blood cells (RBCs) to a detection level of 1%; and fluorescent aerolysin, CD24 and CD15 in granulocytes to 0.1%. Twenty-four PNH minor clone-positive samples (minor-PNH+) were taken, in which the clone population was <5% of RBCs and/or granulocytes. Excluding PNH and minor-PNH+ patients, the population was divided into anemia, malignancy, infection, and normal groups. Parameters exhibiting a distinct demarcation between PNH and non-PNH groups were identified, and each parameter cutoff value was sought that includes the maximum [minimum] number of PNH [non-PNH] patients. RESULTS: Cutoff values for 5 selected CBC parameters (MRV, RDWR, MSCV, MN-AL2-NRET, and IRF) were determined. Positive rates were: PNH (86.0%), minor-PNH+ (33.3%), others (5.0%), anemia (13.4%), malignancy (5.3%), infection (3.7%), normal (0.0%); within anemia group, aplastic anemia (40.0%), immune hemolytic anemia (11.1%), iron deficiency anemia (1.6%). Sensitivity (86.0%), specificity (95.0%), PPV (52.1%), and NPV (99.1%) were achieved in PNH screening. CONCLUSION: A new PNH screening marker is proposed with 95% specificity and 86% sensitivity. The flag identifies PNH patients, reducing time to final diagnosis by flow cytometry.
Antigens, CD15/metabolism ; Antigens, CD24/metabolism ; Antigens, CD55/metabolism ; Antigens, CD59/metabolism ; Biomarkers/metabolism ; Blood Cell Count ; Erythrocytes/cytology/metabolism ; Flow Cytometry ; Granulocytes/cytology/metabolism ; Hemoglobinuria, Paroxysmal/*diagnosis/metabolism ; Humans ; Sensitivity and Specificity

OBJECTIVETo study the expressions of CD55 and CD59 in patients with hyperlipidemia and the effects of atorvastatin on it, and to identify the possible influential factors.

METHODSWe selected 67 patients with hyperlipidemia, and 24 healthy people matched in terms of age, sex and body weight as control. The expressions of CD55 and CD59 on white blood cells were detected by flow cytometry, and their relationships to blood lipids, complement activation indexes (C(5a), sC(5b-9)), inflammatory factors (high sensitivity C-reactive protein (hsCRP), TNF-alpha, IL-6 were analyzed. 24 patients with hyperlipidemia were treated with atorvastatin for 8-12 weeks and the expressions of CD55 and CD59 were measured before and after atorvastatin therapy.

RESULTSThe mean fluorescence intensity (MFI) of CD55 lymphocytes and monocytes were decreased in patients with hyperlipidemia compared with control (2.07 +/- 0.28 vs 2.29 +/- 0.44 and 3.45 +/- 1.02 vs 4.33 +/- 2.32, P < 0.01 and P < 0.05, respectively). CD55 positive lymphocyte MFI was negatively correlated with waist circumference, waist-hip ratio, hsCRP and C(5a). C(5a) was negatively correlated with the MFIs of CD55 positive lymphocytes, monocytes, granulocytes, and positively with TG and diastolic blood pressure. After atorvastatin therapy, the MFIs of CD59 positive lymphocytes, monocytes and granulocytes increased (4.34 +/- 1.16 vs 3.69 +/- 0.76, 4.52 +/- 1.36 vs 3.91 +/- 0.89, 5.67 +/- 1.72 vs 4.56 +/- 1.03, P < 0.05, < 0.05 and < 0.01 respectively), which were not correlated with changes of blood lipids.

CONCLUSIONSThe expression of CD55 is down-regulated in hyperlipidemia, which might be influenced by obesity, abdominal distribution of adipose tissue and inflammatory status of hyperlipidemia, but not by blood lipids. The expression of CD55 is related with complement activation; The expression of CD59 is up-regulated after atorvastatin treatment independently of blood lipids.

Aged ; Atorvastatin Calcium ; CD55 Antigens ; metabolism ; CD59 Antigens ; metabolism ; Case-Control Studies ; Complement Activation ; Gene Expression Regulation ; Heptanoic Acids ; therapeutic use ; Humans ; Hyperlipidemias ; drug therapy ; immunology ; metabolism ; Hypolipidemic Agents ; therapeutic use ; Male ; Middle Aged ; Pyrroles ; therapeutic use

AC133 Antigen ; Animals ; Antigens, CD ; metabolism ; Biomarkers, Tumor ; metabolism ; Breast Neoplasms ; metabolism ; pathology ; CD24 Antigen ; metabolism ; CD55 Antigens ; metabolism ; Female ; Gangliosides ; metabolism ; Glycoproteins ; metabolism ; Hedgehog Proteins ; metabolism ; Humans ; Hyaluronan Receptors ; metabolism ; Isoenzymes ; metabolism ; Neoplastic Stem Cells ; metabolism ; Octamer Transcription Factor-3 ; metabolism ; Peptides ; metabolism ; Receptors, Notch ; metabolism ; Retinal Dehydrogenase ; metabolism ; Signal Transduction ; Wnt Signaling Pathway

Recent developments in genome editing technology using meganucleases demonstrate an efficient method of producing gene edited pigs. In this study, we examined the effectiveness of the transcription activator-like effector nuclease (TALEN) system in generating specific mutations on the pig genome. Specific TALEN was designed to induce a double-strand break on exon 9 of the porcine α1,3-galactosyltransferase (GGTA1) gene as it is the main cause of hyperacute rejection after xenotransplantation. Human decay-accelerating factor (hDAF) gene, which can produce a complement inhibitor to protect cells from complement attack after xenotransplantation, was also integrated into the genome simultaneously. Plasmids coding for the TALEN pair and hDAF gene were transfected into porcine cells by electroporation to disrupt the porcine GGTA1 gene and express hDAF. The transfected cells were then sorted using a biotin-labeled IB4 lectin attached to magnetic beads to obtain GGTA1 deficient cells. As a result, we established GGTA1 knockout (KO) cell lines with biallelic modification (35.0%) and GGTA1 KO cell lines expressing hDAF (13.0%). When these cells were used for somatic cell nuclear transfer, we successfully obtained live GGTA1 KO pigs expressing hDAF. Our results demonstrate that TALEN-mediated genome editing is efficient and can be successfully used to generate gene edited pigs.
Animals ; Antigens, CD55/genetics ; Cell Line ; DNA Breaks, Double-Stranded ; Exons/genetics ; Galactosyltransferases/*genetics ; Gene Editing/*veterinary ; Gene Knockout Techniques ; Humans ; Nuclear Transfer Techniques ; Swine ; Transcription Activator-Like Effector Nucleases/*genetics/*metabolism

OBJECTIVESTo explore the mechanism of development and aggressiveness in gastric carcinomas by investigating the expression and role of CD97 and its cellular ligand CD55 in gastric carcinomas.

METHODSTumor and corresponding normal mucosal tissue, collected from 39 gastric carcinoma patients, were examined by immunohistochemistry and RT-PCR for the expression of CD97 and CD55.

RESULTSCD97(stalk) was strongly stained on scattered tumor cells or small tumor cell clusters at the invasion front of gastric carcinomas. The expression of CD97(stalk) was frequently observed in tumors of stage I and T1 gastric carcinoma patients. The expression of CD97(stalk) between Stage I and Stage II, III, IV specimens showed significant difference (P<0.05), between T1 and T2, T3, T4 specimens also showed significant difference (P<0.05). Specimens with tumor invasion depth limited in mucosa of T1 specimens showed higher positive CD55 expression than specimens with the same tumor invasion depth in T2, T3, T4 specimens, the expression of CD55 between T1 and T2, T3, T4 specimens was significantly different (P<0.05). There was strong correlation between the distribution patterns of CD97(stalk) and CD55 on tumor tissues (r=0.73, P<0.05). Signet ring cell carcinomas frequently contained strong CD97(stalk) and CD55-staining.

CONCLUSIONSOur results suggest that CD97(stalk) is probably involved in the growth, invasion and aggressiveness of gastric carcinomas by binding its cellular ligand CD55. CD97(stalk) and CD55 could be useful as molecular markers for prognosis and therapy of gastric carcinoma patients.

Antigens, CD ; genetics ; metabolism ; Base Sequence ; Biomarkers, Tumor ; genetics ; metabolism ; CD55 Antigens ; genetics ; metabolism ; Female ; Gene Expression ; Humans ; Male ; Membrane Glycoproteins ; genetics ; metabolism ; Middle Aged ; Neoplasm Staging ; Prognosis ; RNA, Messenger ; genetics ; metabolism ; RNA, Neoplasm ; genetics ; metabolism ; Stomach Neoplasms ; genetics ; immunology ; pathology ; therapy ; Tissue Distribution