OBJECTIVE: To investigate the gene mutation and genotype distribution of thalassemia in the population of childbearing age in Chongzuo area of Guangxi. METHODS: Six α-thalassemia and 17 β-thalassemia gene mutations common in Chinese were detected by gap-polymerase chain reaction (gap-PCR) combined with agarose gel eletrophoresis and reserve dot bolt hybridization in 29 266 cases of child-bearing age suspected of thalassemia. RESULTS: A total of 19 128 (65.36%) cases were identified with thalassemia. The detection rate of α-thalassemia, β-thalassemia and α-combining β-thalassemia was 45.25% (13 242/29 266), 15.47% (4 526/29 266) and 4.65% (1 360/29 266), respectively. A total carrying rate of 8 kinds of α-thalassemia gene mutations was 26.74% (15 649/58 532), including 12.51% for --^SEA, followed by 5.70% for -α^3.7, and 0.24% for --^Thai. Among 32 α-thalassemia genotypes, the most common five were --^SEA/αα, -α^3.7/αα, α^CSα/αα, -α^4.2/αα and α^WSα/αα, accounting for 47.27%, 18.31%, 8.56%, 8.52% and 7.91%, respectively, as well as 0.97% for --^Thai/αα. A total carrying rate of 13 kinds of β-thalassemia gene mutations was 10.07% (5 897/58 532), including 3.63% for CD41-42, followed by 2.55% for CD17, and 0.003% for -50 (G>A). Among 17 β-thalassemia genotypes, the most common six were CD41-42/N, CD17/N, CD71-72/N, CD26/N, 28/N and IVSI-1/N, accounting for 36.15%, 25.81%, 9.43%, 8.18%, 8.09% and 7.75%. The homozygous genotype CD26/CD26 [hemoglobin (Hb): 121 g/L] and -28/-28 (Hb: 56 g/L) were respectively detected in one case, and double heterozygous genotype were detected in 5 cases, including 3 cases of CD41-42/CD26 (Hb: 41 g/L, 51 g/L, 63 g/L, respectively), 1 case of -28/IVSI-1 (Hb: 53 g/L), and 1 case of CD71-72/CD26 (Hb: 89 g/L), in which patients with moderate or severe anemia had a history of blood transfusion. Among 104 α-combining β-thalassemia genotypes, the most common were --^SEA/αα, -α^3.7/αα combining CD41-42/N and --^SEA/αα combining CD17/N, accounting for 12.13%, 9.63% and 9.26%, respectively. In addition, 1 case of --^SEA/-α^3.7 combining -28/IVSI-1 (Hb: 83 g/L) and 1 case of -α^3.7/αα combining CD41-42/ CD41-42 (Hb: 110 g/L) were detected without history of blood transfusion, while 1 case of α^WSα/αα combining CD41-42/CD17 (Hb: 79 g/L) and 1 case of --^SEA/αα combining CD17/-28 (Hb: 46 g/L) were detected with history. CONCLUSIONS The detection rate of thalassemia genes is high and the mutations are diverse in the population of childbearing age in Chongzuo area of Guangxi. The common deletion genotype is --^SEA/αα in α-thalassemia and CD41-42/N in β-thalassemia, and deletion genotype --^Thai is not rare. There is a certain incidence of intermediate and severe β-thalassemia, and most patients require transfusion therapy. The results are beneficial for genetic consultation and intervention of thalassemia.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Dipeptidyl Peptidase 4/genetics* ; China/epidemiology* ; Genotype ; Mutation

OBJECTIVETo study the relationship between the expression of dipeptidyl peptidase IV (DPP IV) gene and malignant behavior of cells of ovarian carcinoma.

METHODSThe differences of the malignant behavior of A2780, SKOV-3, HO-8910 and HO-8910PM cell lines were examined by drawing cell proliferative curves, adhesive test, assay of incursion and chemotaxis. The expression of DPP IV among the cell lines and its relationship with the malignant behavior of ovarian carcinoma cell were detected by techniques of DPP IV activity assay, cytometry and reverse transcription polymerase chain reaction.

RESULTSAmong all cell lines, the ability of proliferation, adhesion, incursion and chemotaxis of HO-8910PM were the highest, while those of A2780 were the lowest. The transcription of mRNA in A2780, SKOV-3, HO-8910 and HO-8910PM cell lines were 0.7512 +/- 0.0012, 0.5596 +/- 0.0015, 0.3369 +/- 0.0009, and 0.2777 +/- 0.0006, respectively. The activity of DPP IV were 0.79 +/- 0.02, 0.64 +/- 0.03, 0.21 +/- 0.02, and 0.18 +/- 0.01, respectively; and the protein expression of DPP IV gene were 657.83 +/- 1.14, 538.53 +/- 5.29, 130.50 +/- 1.46, and 33.14 +/- 0.47, respectively, as assayed by cytometry. The correlation coefficients of the transcription of DPP IV gene and the adhesive, incursive and migratory ability of ovarian carcinoma cells were -0.987, -0.983, and -0.991, respectively; the correlation coefficients of the expression of DPP IV and those ability of cells were -0.959, -0.988, and -0.968; the correlation coefficients of the activity of DPP IV and those ability of cells were -0.952, -0.868, and -0.983.

CONCLUSIONThere is a negative correlation between the expression of DPP IV gene and the adhesive and incursive capability of cells of ovarian carcinoma.

Cell Adhesion ; Cell Division ; drug effects ; Cell Line, Tumor ; Cystadenocarcinoma ; genetics ; pathology ; Dipeptidyl Peptidase 4 ; biosynthesis ; genetics ; Female ; Humans ; Neoplasm Invasiveness ; Neoplasm Metastasis ; Ovarian Neoplasms ; genetics ; pathology ; RNA, Messenger ; biosynthesis ; genetics

In this study, we evaluated the difference ot biological characteristics in the MERS-CoV infected mice model in prior to transduction with different dosage of human DPP4. Firstly, we transduced different dosage of DPP4 (high or low) into mice, and then challenged them with MERS-CoV in order to establish the model. After establishment of mice model, we observed the clinical signs of disease, virus replication, immunopathogenesis and antibody response. The results indicated that the infected mice showed typical pneumonia, virus replication, histological lesions, and neutralizing antibody production. Moreover, the high dosage group was superior to the low dosage group. Fourteen days after infection, the specific antibody to virus structural protein and neutralizing antibody were analyzed, the high dosage group induced higher level antibody. In summary, the MERS-CoV infected mice model were established prior transduction with DPP4, and the level of DPP4 influenced the clinical signs of disease, virus replication and antibody response in this model.
Animals ; Coronavirus Infections ; enzymology ; genetics ; pathology ; virology ; Dipeptidyl Peptidase 4 ; genetics ; metabolism ; Disease Models, Animal ; Female ; Humans ; Mice ; Mice, Inbred BALB C ; Middle East Respiratory Syndrome Coronavirus ; genetics ; physiology

A 68-year old man diagnosed with Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) presented with multiple pneumonic infiltrations on his chest X-ray, and the patient was placed on a mechanical ventilator because of progressive respiratory failure. Urinary protein excretion steadily increased for a microalbumin to creatinine ratio of 538.4 mg/g Cr and a protein to creatinine ratio of 3,025.8 mg/g Cr. The isotope dilution mass spectrometry traceable serum creatinine level increased to 3.0 mg/dL. We performed a kidney biopsy 8 weeks after the onset of symptoms. Acute tubular necrosis was the main finding, and proteinaceous cast formation and acute tubulointerstitial nephritis were found. There were no electron dense deposits observed with electron microscopy. We could not verify the virus itself by in situ hybridization and confocal microscopy (MERS-CoV co-stained with dipeptidyl peptidase 4). The viremic status, urinary virus excretion, and timely kidney biopsy results should be investigated with thorough precautions to reveal the direct effects of MERS-CoV with respect to renal complications.
Aged ; Biopsy ; Coronavirus Infections/*diagnosis/virology ; Creatinine/blood/urine ; Dipeptidyl Peptidase 4/metabolism ; Humans ; In Situ Hybridization, Fluorescence ; Kidney/metabolism/*pathology ; Male ; Microscopy, Confocal ; Microscopy, Electron ; Middle East Respiratory Syndrome Coronavirus/*genetics/isolation & purification ; RNA, Viral/genetics/metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; Serum Albumin/analysis

OBJECTIVETo investigate the expression of dipeptidyl peptidase IV (DPPIV) in patients with epithelial ovarian carcinoma (EOC) and its clinical significance.

METHODSImmunohistochemistry (IHC) was used to detect the expression of DPPIV protein in 378 formalin-fixed paraffin-embedded EOC tissue samples. The expression of DPPIV mRNA in 86 EOC tissue samples were examined by in situ hybridization (ISH) using specific FITC-labelled RNA probes. Forty-two samples of normal ovarian tissues were used as control. Statistical analyses were carried out by Chi-square test, Spearman rank correlation and Kaplan-Meier method.

RESULTSAmong the 378 epithelial ovarian carcinomas, 351 (92.9%) showed a positive expression of DPPIV protein, while only 25/42 (59.5%) of normal ovaries had a positive expression by semi-quantitative IHC analysis. The expression level of DPPIV protein was significantly lower in the normal ovaries than that in ovarian carcinomas (chi(2) = 18.4, P = 0.001). There was no significant correlation between the expression of DPPIV protein and age, FIGO stage and histological grade (P > 0.05). However, the expression of DPPIV protein was significantly associated with histological type (chi(2) = 28.5, P = 0.005). The patients with high level expression of DPPIV protein likely had a poor prognosis in terms of overall survival (P = 0.02). Of the 86 patients, 84 (97.7%)showed positive expression of DPPIV mRNA, also higher than that in normal ovarian tissues (P < 0.05). A statistically significant correlation between DPPIV mRNA and protein expression was observed (r(s) = 0.66, P = 0.001).

CONCLUSIONDPPIV may be involved in the carcinogenesis of ovarian cancer, and may become a potential prognostic marker for epithelial ovarian carcinoma.

Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor ; metabolism ; Carcinoma, Endometrioid ; metabolism ; pathology ; Cystadenocarcinoma, Mucinous ; metabolism ; pathology ; Cystadenocarcinoma, Serous ; metabolism ; pathology ; Dipeptidyl Peptidase 4 ; biosynthesis ; genetics ; Female ; Follow-Up Studies ; Humans ; Immunohistochemistry ; In Situ Hybridization ; Middle Aged ; Neoplasm Staging ; Ovarian Neoplasms ; metabolism ; pathology ; Prognosis ; RNA, Messenger ; metabolism ; Survival Rate