Objective To investigate the relationship between white blood cell count (WBC) and the prevalence of simple fatty liver disease (SFL) and nonalcoholic steatohepatitis (NASH). Methods We designed a large scale cross-sectional study in an adult population. Participants were selected from Tianjin Medical University's General Hospital-Health Management Centre. The diagnoses of simple fatty liver disease and nonalcoholic steatohepatitis were based on liver ultrasonography and serum alanine aminotransferase concentration. A total of 37507 subjects (8644 SFL and 2557 NASH) were included in this study. Multiple logistic regression analysis was used to assess whether the quartiles of WBC were associated with the prevalence of simple fatty liver disease and nonalcoholic steatohepatitis. Results After adjusting for potential confounders, the odds ratios (95% confidence interval) of simple fatty liver disease and nonalcoholic steatohepatitis for increasing quartiles of WBC were: simple fatty liver disease, 1.00 (reference), 1.37 (1.24, 1.50), 1.70 (1.55, 1.86) and 2.09 (1.90, 2.29) (P for trend<0.0001);nonalcoholic steatohepatitis, 1.00 (reference), 1.39 (1.16, 1.66), 1.69 (1.43, 1.99) and 2.13 (1.81, 2.50) (P for trend<0.0001). Conclusions This study proves the correlation between WBC and the prevalence of simple fatty liver disease and nonalcoholic steatohepatitis. Further study is needed to clarify whether WBC has a predictive value for the occurrence of nonalcoholic fatty liver disease.

Objective:To study the morphologic standard values of craniofacial hard-tissue of the youths in Xi'an.Methods:CBCT scanned cephalometric data of 100 selected volunteers (50 males and 50 females)with individual normal occlusion were collected.31 landmarks and 31 measurements were compared between sexes and between 3D and 2D data with software InvivoDental 5.2,WinCeph 8.0.and SPSS 19.0.Results:1.In the 3D measurements,vertical growth of mandible in the females was more than that in the males. The values of torque of lower incisor,basis length,height of rumi mandibulae and length of corpora mandibulae in the males were bigger than those in the females.2.Compared with 2D measurements,there existed statistically significant differences in most parameters except U1-NA(mm).Conclusion:3D analysis with CBCT may provide more accurite morphologic data for craniofacial hard tissues.

OBJECTIVETo finish the work of sequencing the full sequence of intron 51 of dystrophin gene and understand its characteristic of sequence.

METHODSThe whole intron 51 was sequenced by primer walking. The sequencing results were analyzed by repeat sequences, matrix attachment region (MAR) and topoisomerase II cleavage sites. The residue sequences, after removal of the repetitive sequences, were subjected to the analysis of CpG islands, promoter, open reading frame (ORF) and unidentified low copy repeat sequence.

RESULTSThe acquired intron 51 sequence was composed of 38725 bp. Repetitive sequences constituted 37.53% of total intron sequence. The overall G+C content of intron 51 was 36.34%. There are four potential MARs in intron 51. Three of them are clustered in the 12 kb region near exon 51. Numerous ORFs were found on both strands, but no homologues proteins were found in Genbank CDS transcriptional peptide, PDB, SwissProt, PIR and PRF databases.

CONCLUSIONThe expansion of intron 7 over the last 120 million years was mainly the result of L1 insertion into intron 7, and not all of repetitive sequences are associated with chromosomal rearrangement. No sequence of functional significance was found in intron 51. The results suggest that the cluster of MARs may be associated with the instability of intron 51.

Base Sequence ; CpG Islands ; genetics ; Databases, Nucleic Acid ; Dystrophin ; genetics ; Gene Deletion ; Genes ; Humans ; Introns ; genetics ; Long Interspersed Nucleotide Elements ; genetics ; Mutagenesis, Insertional ; Open Reading Frames ; Promoter Regions, Genetic ; Repetitive Sequences, Nucleic Acid ; genetics ; Sequence Analysis, DNA ; methods

Multimorbidity is significantly associated with life quality decline, disability, and increased mortality risk. Additionally, it leads to greater consumption of healthcare resources, presenting substantial challenges to healthcare systems globally. To better assess the burden of multimorbidity, its impact on patient health outcomes and healthcare services, and to explore the underlying mechanisms in its development, this paper summarizes the existing methods used for measuring and analyzing multimorbidity in research and practice, including disease count, disease-weighted indices, multimorbidity pattern recognition (such as disease association analysis, clustering analysis, and network analysis) and longitudinal methods to provide references for the accurate assessment of the prevalence of multimorbidity and its changes and improve the validity and universality of research findings.