BACKGROUND:Different sources of stem cells have different molecular characteristics and growth characteristics;therefore, there are some differences in therapeutic mechanisms and effects. OBJECTIVE:To compare mesenchymal stem cells growth characteristics form two sources. METHODS:Mesenchymal stem cells from the umbilical cord and the embryonic liver were isolated and cultured. Passage 5 cells were used to observe the cellmorphology, calculate the doubling time of cellpopulation-doubling time, identify surface markers and determine the differentiation capacity. Mesenchymal stem cells from the umbilical cord were subcultured to passages 10 and 15, and cellcurves were drawn and population doubling time was calculated. RESULTS AND CONCLUSION:Mesenchymal stem cells from these two sources in logarithmic phase were fusiform and grew spiral y with osteogenic, adipogenic, and chondrogenic capacities. The growth curves of cells were both S-shaped. At passage 5, the doubling time was (34.37±0.31) hours for embryonic liver-derived mesenchymal stem cells and (35.63±0.38) hours for umbilical cord-derived mesenchymal stem cells, and there was no significant difference (P>0.05). However, the population doubling time of passages 10 and 15 umbilical cord-derived mesenchymal stem cells was (52.6±0.53) and (53.27±0.92) hours, respectively, which was significantly difference from that of passage 5 cells (P<0.05). The cellmorphology and growth curve from two sources are basical y the same. Embryonic liver-derived stem cells are smal er and proliferate faster than umbilical cord-derived mesenchymal stem cells, but no statistical difference is found between the two types.

Objective To observe the relationship of viral load,serum cytokines and tissue damage after severe fever with thrombocytopenia syndrome virus (SFTSV)infection,and to explore the impact of SFTSV levels on tissue injury and prognosis.Methods Twenty-four ambulatory and hospitalized patients who were infected with SFTSV were enrolled between May 2011 and July 2012 at Department of Infectious Disease, First Affiliated Hospital with Nanjiang Medical University. According to their prognosis,they were divided into cure and death group,while 32 healthy blood donators were also enrolled from center blood station in Nanjing as control.The serum SFTSV load was detected using fluorescence quantitative polymerase chain reaction (PCR).The serum T helper (Th)1/Th2/Th17 cytokines in patients with severe fever with thrombocytopenia syndrome (SFTS)were determined dynamically and quantitatively by flow cytometry.The relationships between viral load,cytokines and serum enzymes, white blood cell (WBC),platelet (PLT)counts were analyzed.Comparisons among groups were achieved by rank sum test and correlation analysis among serum cytokines,blood cell counts and tissue damage was done by Spearman correlation test.Results All of the 24 patients showed a positive reaction to SFTSV RNA.The SFTSV loads of 21 cured cases,those of 2 were > 7.0 lg copy/mL,and those of 3 death patients were 6.7 lg copy/mL,8.8 lg copy/mL and 9.8 lg copy/mL,respectively.Serum level of interleukin (IL)-6 (21 .76 pg/mL in day 5 and 7.12 pg/mL in day 7)and IL-10 (14.33 pg/mL in day 5 , 14.13 pg/mL in day 7 and 3.01 pg/mL in day 9)of cured patients were significantly higher than those of healthy controls (IL-6:2.82 pg/mL and IL-10:1 .56 pg/mL)(P <0.05 ).At day 7 and day 9,serum levels of IL-6 of death cases were 137.61 pg/mL and 1 450.83 pg/mL,respectively and serum levels of IL-10 were 50.26 pg/mL and 49.43 pg/mL,respectively.Both of the indicators in the death group were significantly higher than those of cure group (P <0.05 ).However,serum levels of IL-2 and IL-4 were significantly lower than those in healthy control group (P <0.05 ).In the cure group,WBC and PLT counts were lowest during the early course of the disease,and serum alamine aminotransferase (ALT), aspartate aminotransferase (AST ), lactic dehydrogenase (LDH ) and creatine kinase (CK ) were significantly higher than their upper limits of normal.The correlation analysis showed that serum IL-6, IL-10 levels were negatively correlated with PLT count (r=-0.390 and -0.608,respectively;both P <0.01),and positively correlated with SFTSV load (r=0.560 and 0.758,respectively),ALT (r=0.412 and 0.390,respectively),AST (r = 0.686 and 0.764,respectively),LDH (r = 0.633 and 0.677, respectively)and CK (r =0.527 and 0.636,respectively)(all P <0.01 ).Conclusions SFTSV load, IL-6,IL-10 and serum enzyme levels are closely related to the severity of the disease.The inflammatory and anti-inflammatory cytokine storm after SFTSV infection may be involved in the immune pathological injury in patients with SFTS.

OBJECTIVETo study Twist expression in thyroid papillary carcinoma (PTC) by immunohistochemistry and to assess its usefulness as marker in the differential diagnosis of PTC, follicular adenomas (FA) and benign papillary lesions (BPL).

METHODSFifty cases of PTC, 48 cases of FA and 47 cases of BPL were evaluated using manual tissue chip and SP immunohistochemical stain to detect the expression of Twist and HBME-1, and comparing the staining to that of cytokeratin 19 (CK19).

RESULTSIn PTC, positive rates of Twist, HBME-1 and CK19 were 100% (48/48), 94.0% (47/50) and 78.0% (39/ 50) respectively; in FA, positive rates were 0, 6.7% (3/45) and 0 respectively; in BPL, positive rates were 7.0% (3/34), 2.1% (1/47) and 0, respectively. The differences between PTC and FA and between PTC and BPL were both statistically significant (P = 0. 000). The sensitivity of Twist, HBME-1 and CK19 was 100%, 94.0% and 78.0%; the specifity was 96.4%, 95.7% and 100%; overall accurary was 97.7%, 95.1% and 91.9%, respectively.

CONCLUSIONSPositive rates of Twist is higher than the other markers in PTC. Immunohistochemical staining of Twist has important significance in the differential diagnosis of thyroid lesions. Twist immunohistochemistry maybe helpful in diagnosis and differential diagnosis of PTC.

Adenocarcinoma, Follicular ; metabolism ; Adenocarcinoma, Papillary ; pathology ; Adenoma ; diagnosis ; metabolism ; Biomarkers, Tumor ; immunology ; Carcinoma, Papillary ; diagnosis ; metabolism ; pathology ; Carcinoma, Papillary, Follicular ; metabolism ; Diagnosis, Differential ; Galectin 3 ; genetics ; metabolism ; Immunohistochemistry ; Keratin-19 ; genetics ; Keratins ; genetics ; metabolism ; Nuclear Proteins ; genetics ; metabolism ; Thyroid Neoplasms ; diagnosis ; metabolism ; pathology ; Thyroid Nodule ; pathology ; Twist-Related Protein 1 ; genetics ; metabolism