OBJECTIVE This study aimed to optimize polysaccharides extraction from Urena lobata L.and investigate its antioxidant activity.METHODS The mathematical model was established by re-sponse surface method (RSM) based on the results of single factor experiments, using polysaccha-rides extraction rate as response value,and using the ratio of water to material,cellulase concentra-tion,extraction temperature and time as experimental factors,which was used to screen optimum poly-saccharide extraction conditions from Urena lobata L.. Antioxidant activity of polysaccharides was stud-ied by DPPH and ·OH free radical elimination method. RESULTS The optimum conditions obtained by RSM were as follows:the cellulase level was 10.8 g·L-1,extraction time duration was 72 min,the ra-tio of water to feedstock was 7 mL·g-1,extraction temperature was 43℃,the pH value was 5.0.Under the optimal conditions, there was a difference of less than 5％ between predicted extraction rate 13.37％ and experimental extraction rate 13.32％. The polysaccharide yield was most significantly af-fected by cellulase concentration,followed by extraction time,water to material ratio and extraction tem-perature.IC50of DPPH and·OH were 1.082 g·L-1and 3.202 mg·L-1,respectively.Antioxidant activity of sample polysaccharides was weaker than those of vitamin C. CONCLUSION The polysaccharide extraction process from Urena lobata L. by cellulase enzymolysis approach was obtained, which was convenient and feasible,and extracted polysaccharides had good free radical scavenging activity.

OBJECTIVETo investigate the association of nutritional status with treatment compliance and toxicities in patients undergoing chemoradiation therapy (CRT) after gastrectomy.

METHODSFrom September 2010 to May 2012, 40 patients with gastric cancer received adjuvant CRT in the Department of Radiation, Shanghai Cancer Center. Data including clinical data, weight loss of perioperative period, dynamic changes of weight, NRS 2002 score, PG-SGA score, lymph cell count and serum albumin during CRT, toxic effects and nutritional interventions were collected. Treatment compliance of CRT and adjuvant chemotherapy was recorded. Associations among nutrition, toxicities and treatment compliance were statistically studied.

RESULTSWeight loss percentage from pre-operation to pre-CRT(T1-T2) was 10.0%, which was significantly higher than that of 4.3% during CRT(T3) (P<0.05). Adverse reaction incidence of digestive tract during T3 was 95.0% (38/40). Patients with weight loss >5% during T3 had higher ratio of >II degree digestive tract adverse reaction [91.3% (21/23) vs. 76.5% (13/17), P<0.01] and higher ratio of >3 symptoms of digestive tract[82.4% (14/17) vs. 39.1% (9/23), P<0.05] as compared to those with weight loss ≤5% during T3. Fourteen patients (35.0%) did not complete the synchronous CRT. Factors related to incompletion of CRT were weight loss >7% after surgery (T1) or >10% during T1-T2, malnourishment before CRT, dependence on nutritional support during CRT. Factors related to incompletion of adjuvant chemotherapy were weight loss >5% during CRT(T3), requirement for nutritional support and NRS 2002 score ≥5 at the end of radiation (all P<0.05).

CONCLUSIONSNutritional deterioration before CRT may aggravate the toxicities and reduce compliance of CRT in patients with radical resection of gastric cancer. Malnutrition during CRT may impair compliance to adjuvant chemotherapy. Therefore, early and persistent nutritional interventions are crucial considerations of strategies of multidisciplinary treatment for patients with gastric cancer.

Adult ; Aged ; Chemoradiotherapy ; adverse effects ; Female ; Humans ; Male ; Middle Aged ; Nutritional Status ; Prospective Studies ; Stomach Neoplasms ; drug therapy ; radiotherapy

OBJECTIVETo investigate the comparability of bcr-abl (P210) transcript levels detected in different hospitals.

METHODSTen hospitals in China took part in the four times of sample exchange and comparisons from April, 2010 to August, 2011. The exchange samples were prepared by Peking University People's Hospital. Firstly, the BCR-ABL (P210)(+) cells from a newly diagnosed chronic myeloid leukemia patient were 10-fold serially diluted by BCR-ABL (P210)(-) cells and they covered 4 magnitudes. Then, TRIzol reagents were thoroughly mixed with cells in each tube. Every 12 samples (three samples per magnitude) were sent to the other 9 hospitals. The cell number of each sample was 8×10(6). The detection of bcr-abl transcript levels by real-time quantitative PCR were performed in every hospital according to their own protocols. Conversion factors (CF) were calculated using regression equation.

RESULTSDifferences in bcr-abl transcript levels did exist among results of 10 hospitals in each comparison. In general, the results of the most of hospitals were in line with the dilutions of cells. CF of every hospital fluctuated. Three hospitals had relatively stable CF, and their ranges were 2.8 - 5.2, 1.2 - 2.8 and 2.2 - 6.8, respectively; two hospitals had unstable CF with ranges 0.76 - 7.0 and 2.1 - 18.7; three hospitals couldn't be calculated CF one or two times because of the significant deviation of the results from the actually bcr-abl transcript levels, and their ranges of CF which could be calculated were 1.9 - 19.2, 3.6 - 7.6 and 0.18 - 14.7; One hospital only had two CF (3.3 and 5.0) because of the replacement of an important reagent during the period of comparisons.

CONCLUSIONSComparability of bcr-abl (P210) transcript levels between different hospitals could be achieved through CF which acquired by sample exchange and comparison. The stable and reliable detection system is the premise to acquire correct CF.

Bone Marrow Cells ; China ; Fusion Proteins, bcr-abl ; genetics ; isolation & purification ; Hospitals ; Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive ; diagnosis ; genetics ; Reverse Transcriptase Polymerase Chain Reaction

OBJECTIVEIn order to explore the existence of SARS coronavirus (Co-V) and/or its RNA in sewage of hospitals administered SARS patients.

METHODSA novel electropositive filter was used to concentrate the SARS-CoV from the sewage of two hospitals administered SARS patients in Beijing, including twelve 2,500 ml sewage samples from the hospitals before disinfection, and ten 25,000 ml samples after disinfection; as well as cell culture, RT-PCR and sequencing of gene to detect and identify the viruses from sewage.

RESULTSThere was no live SARS-CoV detected in the sewage in this study. The nucleic acid of SARS-CoV had been found in the 12 sewage samples before disinfection from both hospitals by semi-nested PCR. After disinfection, SARS-CoV RNA could only be detected from the samples from the 309th Hospital, and the others were negative.

CONCLUSIONIt provides evidence that there is no live SARS-Cov in the sewage from hospitals with SARS patients though SARS-CoV RNA can be detected.

Hospitals ; Humans ; Nucleocapsid ; analysis ; RNA, Viral ; analysis ; Reverse Transcriptase Polymerase Chain Reaction ; SARS Virus ; genetics ; isolation & purification ; Severe Acute Respiratory Syndrome ; virology ; Sewage ; virology

Objective: To investigate the current status and real performance of the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels in China through interlaboratory comparison. Methods: Peking University People's Hospital (PKUPH) prepared the samples for comparison. That is, the fresh RUNX1-RUNX1T1 positive (+) bone morrow nucleated cells were serially diluted with RUNX1-RUNX1T1 negative (-) nucleated cells from different patients. Totally 23 sets with 14 different samples per set were prepared. TRIzol reagent was added in each tube and thoroughly mixed with cells for homogenization. Each laboratory simultaneously tested RUNX1-RUNX1T1 and WT1 transcript levels of one set of samples by real-time quantitative PCR method. All transcript levels were reported as the percentage of RUNX1-RUNX1T1 or WT1 transcript copies/ABL copies. Spearman correlation coefficient between the reported transcript levels of each participated laboratory and those of PKUPH was calculated. Results: ①RUNX1-RUNX1T1 comparison: 9 samples were (+) and 5 were (-) , the false negative and positive rates of the 20 participated laboratories were 0 (0/180) and 5% (5/100) , respectively. The reported transcript levels of all 9 positive samples were different among laboratories. The median reported transcript levels of 9 positive samples were from 0.060% to 176.7%, which covered 3.5-log. The ratios of each sample's highest to the lowest reported transcript levels were from 5.5 to 12.3 (one result which obviously deviated from other laboratories' results was not included) , 85% (17/20) of the laboratories had correlation coefficient ≥0.98. ②WT1 comparison: The median reported transcript levels of all 14 samples were from 0.17% to 67.6%, which covered 2.6-log. The ratios of each sample's highest to the lowest reported transcript levels were from 5.3-13.7, 62% (13/21) of the laboratories had correlation coefficient ≥0.98. ③ The relative relationship of the reported RUNX1-RUNX1T1 transcript levels between the participants and PKUPH was not always consistent with that of WT1 transcript levels. Both RUNX1-RUNX1T1 and WT1 transcript levels from 2 and 7 laboratories were individually lower than and higher than those of PKUPH, whereas for the rest 11 laboratories, one transcript level was higher than and the other was lower than that of PKUPH. Conclusion: The reported RUNX1-RUNX1T1 and WT1 transcript levels were different among laboratories for the same sample. Most of the participated laboratories reported highly consistent result with that of PKUPH. The relationship between laboratories of the different transcript levels may not be the same.
China ; Core Binding Factor Alpha 2 Subunit ; Humans ; Leukemia, Myeloid, Acute ; RUNX1 Translocation Partner 1 Protein ; Real-Time Polymerase Chain Reaction ; Transcription, Genetic ; WT1 Proteins