Objective To explore the predictive value of P wave dispersion (Pd) and maximum P wave duration (Pmax) of 12 lead ECG in patients with atrial arrhythmia.Methods51 cases of atrial arrhythmia group from October 2013 to April 2015 in Jiashan County First People's Hospital, patients with frequent atrial premature atrial tachycardia, were examined for the determination of P wave dispersion by 12 lead electrocardiograms (Pd) and maximum P wave duration (Pmax), and 53 healthy persons (control group) were compared.ResultsAtrial arrhythmia group Pd and Pmax were significantly higher than the control group, the rate is Pmax=100ms with Pd=40ms high prediction of atrial arrhythmia sensitivity, specificity and diagnostic, Pd=40ms=100ms combined with Pmax diagnosis, the sensitivity increased, but the specificity and diagnostic rate of decline.ConclusionPd is an effective index to predict atrial arrhythmias, and the combined detection of Pd and Pmax can improve the diagnostic sensitivity.

Dirofilaria immitis (heartworm) infections affect domestic dogs, cats, and various wild mammals with increasing incidence in temperate and tropical areas. More sensitive antibody detection methodologies are required to diagnose asymptomatic dirofilariasis with low worm burdens. Applying current transcriptomic technologies would be useful to discover potential diagnostic markers for D. immitis infection. A filarial homologue of the mammalian translationally controlled tumor protein (TCTP) was initially identified by screening the assembled transcriptome of D. immitis (DiTCTP). A BLAST analysis suggested that the DiTCTP gene shared the highest similarity with TCTP from Loa loa at protein level (97%). A histidine-tagged recombinant DiTCTP protein (rDiTCTP) of 40 kDa expressed in Escherichia coli BL21 (DE3) showed immunoreactivity with serum from a dog experimentally infected with heartworms. Localization studies illustrated the ubiquitous presence of rDiTCTP protein in the lateral hypodermal chords, dorsal hypodermal chord, muscle, intestine, and uterus in female adult worms. Further studies on D. immitis-derived TCTP are warranted to assess whether this filarial protein could be used for a diagnostic purpose.
Animal Structures/chemistry ; Animals ; Antibodies, Helminth/blood ; Antigens, Helminth/chemistry/*genetics/immunology/*isolation & purification ; Cloning, Molecular ; Dirofilaria immitis/chemistry/*genetics/immunology ; Disease Models, Animal ; Dogs ; Escherichia coli/genetics ; Gene Expression ; Molecular Sequence Data ; Molecular Weight ; Recombinant Fusion Proteins/chemistry/genetics/immunology/isolation & purification ; Sequence Analysis, DNA ; Tumor Markers, Biological/chemistry/*genetics/immunology/*isolation & purification

During early embryonic development, cell fate commitment represents a critical transition or "tipping point" of embryonic differentiation, at which there is a drastic and qualitative shift of the cell populations. In this study, we presented a computational approach, scGET, to explore the gene-gene associations based on single-cell RNA sequencing (scRNA-seq) data for critical transition prediction. Specifically, by transforming the gene expression data to the local network entropy, the single-cell graph entropy (SGE) value quantitatively characterizes the stability and criticality of gene regulatory networks among cell populations and thus can be employed to detect the critical signal of cell fate or lineage commitment at the single-cell level. Being applied to five scRNA-seq datasets of embryonic differentiation, scGET accurately predicts all the impending cell fate transitions. After identifying the "dark genes" that are non-differentially expressed genes but sensitive to the SGE value, the underlying signaling mechanisms were revealed, suggesting that the synergy of dark genes and their downstream targets may play a key role in various cell development processes.The application in all five datasets demonstrates the effectiveness of scGET in analyzing scRNA-seq data from a network perspective and its potential to track the dynamics of cell differentiation. The source code of scGET is accessible at https://github.com/zhongjiayuna/scGET_Project.

Objective: To investigate the effects of hepatobiliary metabolie dysfunction on gut microbiota in rats with intrahepatic cholestasis of pregnancy (ICP). Methods: Forty Sprauge-Dawley(SD) rats at 10 days of gestation were randomly divided into two groups,25 for ICP induction and 15 as control. Estradiol benzoate, combined with progesterone, was given to the rats by intraperitoneal injjection from 10 to 14 days after gestation. Hepatic impairment indicators of total bilirubin(TBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST),-glutamyl transferase ( GGT), alkaline phosphatase(AL.P), and total bile acids (TBA) in sera of the animals were detected in each group to verify the model construction. Simultaneously, the liver tissues were subjected to pathology examination and fresh faeces samples were collected for 16S rDNA sequencing to explore the gut microbiota profiles. Results: The serum levels of TBIL,ALT,AST,GGT,ALP and TBA in ICP group were significantly elevated compared with the control (P<0. 05 );the ICP rats presented obvious characteristics of hepatobiliary disorders, showing prominent steatosis, necrosis of hepatocytes and infiltration of inflammatory cells, with formation of bile thrombus in some animals. The abundance of Eubacterium, Bacteroides, Parabacteroides distasonis and Bacteroides uniformis remarkably decreased wereas Prevotela and Fusobacterium significantly increased in ICP rats when compared with the control (P<0.05). Conclusion The hepatic injuries and bile acid metabolic disorders occurred in ICP rats,which resulted in dysbiosis of gut microbiota.