ObjectiveTo study the changes of serum immune state in maintenance hemodialysis (MHD) patients with high-flux hemodialysis. MethodsSixty MHD patients were divided into high-flux hemodialysis group (group T, 30 cases, receiving high-flux hemodialysis, 3 times per week and routine drug therapy) and conventional dialysis group (group C, 30 cases, taking conventional dialysis, 3 times per week and routine drug therapy) by random number table. They were treated for 12 weeks. Serum IgG,IgA, IgM,C3, C4, T lymphocyte subsets and albumin, prealbumin, hemoglobin were detected at the experiment onset and 12 weeks later, and compared with those of 20 normal medical examination adults (group N ), meanwhile the ratio of infection was calculated. ResultsThe levels of IgG,IgA,IgM,C3,C4,CD3+,CD4+,CD4+/CD/8+ in group C had no significant changes before and after treatment (P ＞ 0.05 ), but there were significant changes in group T[(12.20 ± 3.98) g/L vs.(6.18± 1.45) g/L, (1.89 ±0.58) g/L vs. (0.63 ±0.15) g/L, (1.29 ± 0.47)g/L vs. (0.51 ± 0.13) g/L, (0.94 ± 0.36) g/L vs.(0.58 ± 0.20) g/L, (0.28 ± 0.06) g/L vs. (0.11 ± 0.04) g/L,(63.11 ± 9.43 )％ vs. (53.26 ± 9.08 )％, ( 38.21 ± 6.15 )％ vs. ( 31.56± 6.02 )％, 1.48 ± 0.37 vs. 1.25 ± 0.43](P＜ 0.05), and there were significant differences between group T and group C after treatment (P＜ 0.05).The ratio of infection in group T was decreased obviously [46.7％ (14/30) vs. 133.3％ (40/30), P ＜ 0.05], but there was no significant difference in group C [126.7％(38/30) vs. 136.7％(41/30),P＞ 0.05]. Conclusion High-flux hemodialysis can improve the immune state and the nuuitional state in MHD patients, and it could decrease the infection rate.

Objective: To evaluate the consistency of transesophageal echocardiography (TEE) and pulmonary artery catheter (PAC) method in monitoring cardiac volume load and cardiac hemodynamic indexes.Methods: A total of 45 patients undergoing coronary artery bypass grafting in our hospital were selected.The right ventricular end-diastolic volume (RVEDV), right ventricular end-systolic volume (RVESV) and right ventricular ejection fraction (RVEF) were monitored during surgery by TEE and PAC respectively.Consistency of monitored data was compared between two methods.Results: Both TEE and PAC indicated that compared with baseline level, after loading, there were significant rise in RVEDV [TEE: (38±6)ml vs.(51±9ml), PAC: (153±17)ml vs.(188±19)ml], RVESV [TEE: (19±4)ml vs.(33±5)ml, PAC: (92±16)ml vs.(110±23)ml], P<0.01 all, but there was no significant change in RVEF, P>0.05.Before therapy, RVEDV, RVESV and RVEF monitored by PAC and TEE showed significant positive correlation, and all relevant coefficients were >0.8 (r=0.844, 0.862, 0.916, P<0.01 all);after therapy, correlation of RVEDV and RVESV significantly reduced to <0.6 (r=0.552, 0.579, P<0.05 both), but RVEF correlation remained >0.8 (r=0.892, P<0.01).Conclusion: In clinical monitor, the consistency of TEE and PAC is high,the former is non-traumatic,and is more convenient for clinical use.

Complex structural variants(CSVs)are genomic alterations that have more than two breakpoints and are considered as the simultaneous occurrence of simple structural variants.How-ever,detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy.As a result,there has been limited progress for CSV discovery com-pared with simple structural variants.Here,we systematically analyzed the multi-breakpoint con-nection feature of CSVs,and proposed Mako,utilizing a bottom-up guided model-free strategy,to detect CSVs from paired-end short-read sequencing.Specifically,we implemented a graph-based pattern growth approach,where the graph depicts potential breakpoint connections,and pattern growth enables CSV detection without pre-defined models.Comprehensive evaluations on both simulated and real datasets revealed that Mako outperformed other algorithms.Notably,validation rates of CSVs on real data based on experimental and computational validations as well as manual inspections are around 70％,where the medians of experimental and computational breakpoint shift are 13 bp and 26 bp,respectively.Moreover,the Mako CSV subgraph effectively characterized the breakpoint connections of a CSV event and uncovered a total of 15 CSV types,including two novel types of adjacent segment swap and tandem dispersed duplication.Further analysis of these CSVs also revealed the impact of sequence homology on the formation of CSVs.Mako is publicly available at https://github.com/xjtu-omics/Mako.