ObjectiveTo explore the value of color Doppler echocardiography in diagnosing apical hypertrophic cardiomyopathy( apical hypertrophic cardiomyopathy, AHCM). MethodsRetrospective analysis of 28 cases with apical hypertrophic cardiomyopathy by echocardiography images was carried out. Results28 cases AHCM patients,apical myocardial thickness 17 ～29mm,5 cases of simple apical myocardial thickening;10 cases of ventricular apex、left ventricular myocardial wall thickening in the apical segment;6 cases of ventricular apex、left ventricular myocardial thickening of apical segments of inferior;6 cases of Ventricular apex,left ventricular free wall thickening of apical myocardial; 1 case of ventricular apex、right ventricular free wall thickening of apical myocardial. All patients were diagnosed. ConclusionColor Doppler echocardiograph was an effective method for diagnosis of apical hypertrophic cardiomyopathy.

Objective To explore an ideal approach to establish rabbit model of hepatic fibrosis suitable for radiological and serological research.Methods Totally 40 rabbit models of hepatic fibrosis was established by intraperitoneally injecting 5% carbon tetrachloride in oil solution or 100% carbon tetrachloride(both groups,0.1 ml/kg,once a week),and drinking 5% ethanol water.Another 8 rabbits who drank normal water and received a peritoneal injection at 0.1 ml/kg served as control.The rabbits(5 or 2 per time for model group and control) were killed at 6,8,10 and 12 weeks respectively after first injection.Their livers were resected for gross and morphological observation with HE and Masson staining.Results Death of the models usually happened within 4 weeks after first injection and became stable after 6 weeks.Mortality of 5% carbon tetrachloride group was 60%,but 25% in 100% carbon tetrachloride group.Macroscopy and microscopy indicated that liver fibrosis was observed in rat models.Conclusion Long-term intraperitoneal injection of carbon tetrachloride results in rabbit hepatic fibrosis.Injection of 100% carbon tetrachloride intraperitoneal,at 0.1 ml/kg,once a week,combined with and 5% ethanol as drinking water is a suitable approach to establish rabbit model of hepatic fibrosis with low mortality and high success rate.

Chemical and Drug Induced Liver Injury ; Humans ; Thrombocytopenia

OBJECTIVETo investigate the effect of curcumin on oligomer formation and mitochondrial ATP-sensitive potassium channels (mitoKATP) induced by overexpression or mutation of α-synuclein.

METHODSRecombinant plasmids α-synuclein-pEGFP-A53T and α-synuclein-pEGFP-WT were transfected into PC12 cells by lipofectamin method, and intervened by application of curcumin (20 μmol/L) and 5-hydroxydecanoate (5-HD). Oligomer formation in the cultured cells was identified by Western blotting and Dot blotting. Cytotoxicity and apoptosis of the PC12 cells were measured by lactate dehydrogenase (LDH) and JC-1 assays. mitoKATP were identified by Western blotting and whole cell patch clamp.

RESULTSCurcumin has significantly reduced the oligomer formation induced by overexpression or mutation of α-synuclein in the cultured cells. LDH has decreased by 36.3% and 23.5%, and red/green fluorescence ratio of JC-1 was increased respectively by 48.46% and 50.33% after application of curcumin (P<0.05). Protein expression of Kir6.2 has decreased and mitoKATP channel current has significantly increased (P<0.05).

CONCLUSIONCurcumin can inhibit α-synuclein gene overexpression or mutation induced α-synuclein oligomers formation. It may block apoptosis induced by wild-type overexpression or mutation of α-synuclein. By stabilizing mitochondrial membrane potential. Opening of mitoKATP channel may have been the initiating protective mechanism of apoptosis induced by wild-type overexpression or mutation of α-synuclein. Curcumin may antagonize above cytotoxicity through further opening the mitoKATP channel.

Animals ; Apoptosis ; drug effects ; Cell Line ; Curcumin ; pharmacology ; Humans ; KATP Channels ; chemistry ; genetics ; metabolism ; Mitochondria ; drug effects ; genetics ; metabolism ; Mutation ; drug effects ; PC12 Cells ; Parkinson Disease ; drug therapy ; genetics ; metabolism ; physiopathology ; Rats ; alpha-Synuclein ; genetics

OBJECTIVETo revalidate the conversion factor（CF）for the conversion of BCR-ABL （P210）transcript levels to the international scale（BCR- ABLIS）in chronic myeloid leukemia（CML） which validated before.

METHODSPeking University People's Hospital（PKUPH）prepared the exchange samples for revalidation of CFs of 15 laboratories which validated nine or eighteen months ago. The fresh BCR-ABL（P210）（+）bone morrow or peripheral blood nucleated cells were diluted with BCR-ABL （P210）（-）cells to achieve different BCR- ABL levels, totally 16 sets and 24 samples per set were prepared. TRIzol reagent was added in each tube. Each laboratory tested BCR-ABL transcript levels of one set of samples. Agreement between BCR-ABLIS of each laboratory and PKUPH was assessed by the Bland- Altman method. For laboratories which did not meet the criteria of revalidation, linear regression equation was derived after the samples with maximum BCR-ABL deviation were removed until R²>0.98, then new CF was calculated.

RESULTS10 laboratories met the revalidation criteria with both bias within ±1.4 fold and 95% limits of agreement within ±6 folds, and their CFs still could be used for accurately conversion of BCR-ABLIS. New CFs were recalculated as of 1.8-6.3 folds of their previous CFs in 5 laboratories not met the criteria.

CONCLUSIONRevalidation of CF by sample exchange among laboratories was necessary for accurate and continuous application of BCR-ABLIS, which not only tested the validity of CF acquired before but also calculated new available CFs for those with invalid CFs.

Bone Marrow Cells ; Fusion Proteins, bcr-abl ; genetics ; Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive ; diagnosis ; genetics

OBJECTIVETo validate the conversion factor (CF) for the conversion of BCR-ABL (P210) transcript levels to the international scale in chronic myeloid leukemia (CML).

METHODSIn 2012, the international reference laboratory in Adelaide, Australia (IMVS) sent two batches of RNA samples, 30 samples per batch, to Peking University People's Hospital (PKUPH). By comparing BCRABL (P210) transcript levels reported by the two laboratories, CF of PKUPH was calculated and validated by IMVS. In 2013, PKUPH prepared the exchange samples for validation of CF of 9 hospitals who have calculated CFs before. The fresh BCR-ABL (P210) (+) cells were serially diluted by BCR-ABL (P210) (-) cells to prepare 22 kinds of samples with different BCR-ABL transcript levels, each kind had 10 parallel samples. Trizol reagent was added in each tube. Ten hospitals tested BCR-ABL transcript levels of one set of 22 samples. Agreement between BCR-ABL transcript levels of each laboratory and PKUPH was assessed by the Bland-Altman method.

RESULTSPKUPH successfully validated its CF with bias 1.1 fold and 95% limits of agreement between -4.7 and 4.9 fold. Of 9 hospitals whose validation performed by sample exchanges with PKUPH, 6 hospitals successfully validated their CF with bias ≤±1.4 fold and 95% limits of agreement within ±6 fold.

CONCLUSIONValidation of CF examined the stability of the detection of BCR-ABL (P210) transcript levels, which was necessary for the valid conversion of BCR-ABL (P210) transcript levels to the international scale in CML.

Fusion Proteins, bcr-abl ; genetics ; Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive ; genetics ; Reverse Transcriptase Polymerase Chain Reaction ; standards ; Transcription, Genetic

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.