Objective To understand the vital signs on admission time and traumatic classification of the inpatients injured in Lushan Earthquake ,and provide a basis evidence for handling major disasters and treating masses of injured patients .Methods The information of patients injured in Lushan Earthquake who were admitted in Chengdu Military General Hospital was collected by“No .1 Military Medical Project” hospital information system and self-edited “Questionnaire for Hospitalized Patients Injured in 4 .20 Lushan Earthquake” .The data of the vital signs on admission time and traumatic classification of these patients were analyzed by SPSS 16 .0 .Results A total of 65 civilian patients were admitted in this hospital .Among these patients ,there were 30 men (46 .15% )and 35 women(53 .85% );with mean age of(45 .74 ± 20 .96)years old .On admission time ,the abnormal rates of tempera-ture ,pulse ,respiratory rate ,systolic pressure ,diastolic pressure of these patients were 18 .46% ,6 .15% ,21 .54% ,12 .31% and 23 .08% ,respectively .48(73 .85% )patients had closed injury .Traumatic condition:8(12 .31% )patients in mild degree ,17(26 .15% ) patients in moderate degree ,32 patients(49 .23% )patients in severe degree and 8(12 .31% )patients in critical degree .The top 4 traumatic parts were as follows :33(50 .77% )patients got waist(abdomen)division and pelvis(perineum);31(47 .69% )patients got lower limb injuries;18(27 .69% )patients got chest and back injuries and 10(15 .38% )patients got facial injuries .There were 39 skin and soft tissue injuries ,counting for 60 .00% ,and 38 fractures ,counting for 58 .46% .Conclusion The epidemiological characteris-tics of earthquake injuries are founded by analyzing the vital signs on admission time and traumatic classification of the inpatients in-jured in Lushan earthquake ,which suggests attention of the relevant scholars and departments .

OBJECTIVETo identify methylation profiles in myelodysplastic syndrome (MDS) and to provide the biomarkers for the early diagnosis and differential diagnosis of MDS.

METHODSGenes were screened for hypermethylation by genome-wide DNA methylation profiles. Transcription down-regulation was determined with a gene expression microarray. Methylation-specific, real-time, and bisulfite-sequencing PCR cloning and sequencing were performed to validate selected genes in MDS cases and non-malignant hematologic diseases (controls). Diagnostic test, such as sensitivity and specificity, was used to evaluate the value of methylation patterns.

RESULTSA draft of methylation patterns was established and refined to 6 genes after validation in 211 patients and 60 controls. The hypermethylated genes were ABAT (97%), DAPP1 (98%), FADD (89%), LRRFIP1 (96%), PLBD1 (89%), and SMPD3 (85%). A combination of 5 or more than 5 genes showed a specificity of 95% and sensitivity of 91.4% for the diagnosis of MDS. The accuracy of diagnosis was 92.3%.

CONCLUSIONWe demonstrated here that the ABAT, DAPP1, FADD, LRRFIP1, PLBD1 and SMPD3 genes are hypermethylated and downregulated in MDS. The six genes could be the markers of the methylation patterns in MDS, as a noninvasive approach for the diagnosis of MDS.

DNA Methylation ; Down-Regulation ; Gene Expression ; Genome, Human ; Humans ; Myelodysplastic Syndromes ; diagnosis ; genetics