Objective To establish the regression equation for the maximum oxygen uptake(VO2max)of male young endurance athletes at altitudeby modeling relevant indicators.Methods A total of 81 young male endurance athletes(long-distance runner,marathoner,and race walker)aged 15～18 years old were selected as the research subjects.The VO2max,3000-meter timed run,400-meter timed run,body morphology,body composition,hematological indicators,and cardiac function of the ath-letes were tested in Kunming,Yunnan Province(1890 meters altitude high)in four consecutive days.The testing sequence of the exercise was randomly arranged.The data of the first 65 athletes were used for multiple linear regression modeling,while those of the rest 16 were employed for the verifica-tion of the established model.Results Based on the data of 65 athletes,the multiple linear regression equation of VO2max was:VO2max=2616.661+60.389×lean body mass(kg)-3.108×3000-meter run-ning time(s)-16.665×lower limb length A(cm)+6.356×maximum heart rate(bpm),R2=0.858,and that of the relative VO2max was:relative VO2max=119.685-0.058×3000-meter running time(s)-0.224×body weight(kg)-0.452×Achilles tendon length(cm),R2=0.681.Accord-ing to the data of the rest 16 athletes,there was no significant difference in the calculated values of VO2max and relative VO2max.Moreover,the calculated values and the direct test values of VO2max and rel-ative VO2max were positively correlated(r=0.735,P=0.001;r=0.509,P=0.044).Conclusion A regression model of VO2max and relative VO2max for young male endurance athletes at altitude(1890 meters altitude high)was established and verified through direct testing.The model established is worth popularization and application,and can provide references for indicators selection of young male endurance athletes at altitude(1890 meters altitude high).

Objective To establish the regression equation for the maximum oxygen uptake(VO2max)of male young endurance athletes at altitudeby modeling relevant indicators.Methods A total of 81 young male endurance athletes(long-distance runner,marathoner,and race walker)aged 15～18 years old were selected as the research subjects.The VO2max,3000-meter timed run,400-meter timed run,body morphology,body composition,hematological indicators,and cardiac function of the ath-letes were tested in Kunming,Yunnan Province(1890 meters altitude high)in four consecutive days.The testing sequence of the exercise was randomly arranged.The data of the first 65 athletes were used for multiple linear regression modeling,while those of the rest 16 were employed for the verifica-tion of the established model.Results Based on the data of 65 athletes,the multiple linear regression equation of VO2max was:VO2max=2616.661+60.389×lean body mass(kg)-3.108×3000-meter run-ning time(s)-16.665×lower limb length A(cm)+6.356×maximum heart rate(bpm),R2=0.858,and that of the relative VO2max was:relative VO2max=119.685-0.058×3000-meter running time(s)-0.224×body weight(kg)-0.452×Achilles tendon length(cm),R2=0.681.Accord-ing to the data of the rest 16 athletes,there was no significant difference in the calculated values of VO2max and relative VO2max.Moreover,the calculated values and the direct test values of VO2max and rel-ative VO2max were positively correlated(r=0.735,P=0.001;r=0.509,P=0.044).Conclusion A regression model of VO2max and relative VO2max for young male endurance athletes at altitude(1890 meters altitude high)was established and verified through direct testing.The model established is worth popularization and application,and can provide references for indicators selection of young male endurance athletes at altitude(1890 meters altitude high).

Objective To evaluate whether flexible ambrosia,by which people can take special prebiotics instead of dining to alleviate their sense of hunger is a healthy, safe and effective weight loss method by analyzing the effects of flexible ambrosia on body weight, body composition, physiological and chemical indexes of young volunteers.Methods Young volunteers were tested on flexible ambrosia for seven days using special prebiotics instead of normal food.Body weight, waist circumference, body composition and blood biochemical indexes ( blood pressure, blood glucose, liver function, renal function, blood electrolyte, and blood lipid ) were measured and recorded before and after the test respectively.The volunteers′subjective feelings ( hunger, energy, fatigue, etc) were recorded during the test every day by way of e-form records.Results All volunteers of the flexible ambrosia test reduced their body weight, body mass index (BMI), waist circumference, visceral fat index (VAI) and body fat rate (Fat,%)significantly (P<0.01)in seven days, while the body water rate, muscle mass, body protein and bone did not significantly change or rise.There was no significant functional abnormity of the liver kidney, or blood electrolytes and blood lipid.All volunteers were in good physical condition, high-spirited and slept well, high quality sleep, without any obvious hunger and fatigue response in seven days.Conclusion Flexible ambrosia seems to be a healthy, safe and effective method, and provides an important scientific basis and reference for weight loss in the military.

Objective To explore the network structure of genes and microRNA(miRNA) at the system level and to study topological characteristics of survival rate related molecules by means of survival analysis.Methods Regulatory networks were established with genes of hepatocellular carcinoma( HCC) and with the expression profiling data of miRNA. Survival knowledge in nodes was studied.Results All the nodes in gene co-expression networks conformed to power-law distribution.In a network, high-degree nodes were called Hub, which enriched more survival related genes than lower degree ones.Conclusion Hub nodes in gene regulatory networks promise to be potential features for molecular subtyping.

Objective To establish a method to validate the result of transcriptome sequencing using duplex PCR tech -nology combined with capillary electrophoresis .Methods According to a previous study on transcriptome sequencing , eight differentially expressed genes were chosen as target genes for examination .The mRNA expression level of these genes was detected using duplex PCR combined with agarose gel electrophoresis , duplex PCR combined with capillary electropho-resis and Q-PCR, respectively.Then, the verification efficiency of each method was evaluated carefully .Results The ver-ification efficiency of duplex PCR combined with agarose gel electrophoresis was 50%, while that of duplex PCR combined with capillary electrophoresis and Q-PCR was both 100%.Conclusion Combination of duplex PCR technology with capil-lary electrophoresis can be used as an alternative method to validate the results of transcriptome sequencing .

Objective To study the microRNA ( miRNA) regulation on the expression of housekeeping and non-house-keeping human genes from the systemic level , and to reveal the influence of conservation at 3′UTRs region for the density difference of miRNA regulatory between the two classes of genes .Methods We obtained miRNA regulation informations for the two classes of genes through the integration analysis of three sequence-based target gene prediction softwares and the conjoint analysis based on gene expression profile data .We also used phastCons-score based evolution analysis to study the conservation of 3′UTRs regions between the two classes of genes .Results Our results showed that housekeeping genes have a significantly higher density of miRNA binding sites and their 3′UTR are relatively conservative .Conclusion These findings highlight the importance of miRNA regulation in housekeeping genes , suggesting that investigating the roles of miR-NAs on the robustness of housekeeping genes expression is highly necessary .

More and more DNA sequences have been obtained since the start-up of human genome project. Powerful system is badly needed for data mining on these DNA sequences. Based on a personal computer and Linux operating system, the Phred/Phrap/Consed software and Blast software were used to construct a platform for batch analysis of the sequences, including identifying raw DNA sequence from chromatogram file, vector sequence removing, contig analysis (sequence assembly), repeat sequence identifying and sequence similarity analysis. Result demonstrated that this robust platform could accelerate data analysis for large-scale DNA sequencing.