Objective To develop a Traditional Chinese Medicine(TCM)syndrome diagnosis scale suitable for evaluating the overall health status of participants in long-term simulated weightlessness experiments,and preliminarily evaluate its reliability and validity.Methods Based on the understanding of the pathogenesis of TCM in different stages of long-term manned spaceflight,a scale was developed through literature research and expert consultation.Test-retest reliability and internal consistency coefficient were used to test the reliability of the scale.Item analysis and factor principal component analysis were used to evaluate the validity of the scale,and a rotating component matrix was used to analyze the correlation between each item and dimension using 36 volunteers in a 90 days head down bed rest experiment as the research subjects.Results The scale contains eight dimensions and 57 items.The reliability analysis showed that the correlation coefficient of the total score of the scale for the first and second tests of 30 participants was 0.889,indicating high stability of the scale.The Cronbach coefficient of the scale was 0.934,indicating very good internal consistency.The split half reliability after correction was 0.858,indicating a high reliability of the scale.The validity analysis showed that the difference between the high score group and the low score one for each of the 57 items was statistically significant(P<0.01),and the Pearson correlation coefficient between each item and the total score of the scale was greater than 0.4(P<0.001).The cumulative contribution rate of 8 common factors extracted using principal component factor analysis was 55.293%,and the results of rotating component matrix analysis,after applying TCM theory and expert feedback,had a coincidence of up to 87.5%with the initial 8 dimensions,indicating good structural validity of the scale.Conclusion The scale has good reliability and validity,and can diagnose TCM syndromes.It is suitable for long-term simulated weightlessness experiment and provides an objective and quantitative new method for evaluating the subjective feelings of participants.

Objective To study traditional Chinese medicine(TCM)syndrome pattern of astronauts in long term spaceflight,and to summarize and elucidate the characteristics and evolvement of their holistic functional status based on TCM Pattern Identification and Classification System.Methods The Digital TCM Diagnostic Instrument and TCM Syndrome Diagnosis Scale were used to collect information from 9 astronauts in three manned missions of China Space Station,through diagnostic methods of observation,palpation and inquiry according to CM theory.Data collection was performed at various stages before,during,and after spaceflight,a total of 32 person-time digital images of tongues and facial complexion and over 2 000 data were collected.Through data mining and analysis using four diagnostic feature fusion methods,the distribution characteristics of TCM pattern among astronauts at different stages of flight and with different physical constitutions were proposed,and the health status and evolution trend of astronauts were evaluated based on the health concept of TCM.Results ⑴The astronauts showed related manifestations of 8 TCM syndromes during long term flight,among which 4 syndromes had higher scores,including Liver Depression Transforming into Fire,Liver and Kidney Yin Deficiency,Heart Kidney Disharmony,and Spleen and Kidney Yang Deficiency.However,their syndrome differentiation were mainly based on Yin and Yang in equilibrium,with only a few individuals showing a brief deviation from the equilibrium state at a certain stage.After long-term adaptation and adjustment,they almost had returned to a state of Yin-Yang equilibrium reestablishment.⑵As the flight time increased,the proportion of Liver Depression Transforming into Fire and Qi and Blood Deficiency in Heart and Spleen syndrome increased month by month,indicating that the psychological and emotional changes and insufficient Qi and blood status during long term flight need to be focused on.⑶Physical constitution had a certain impact on the syndrome patterns during flight,the astronauts with biased constitutions had significantly higher total scores for all syndrome patterns than that of individuals with Normal-constitution,astronauts with Yin deficiency had slightly higher scores for Heart Kidney Disharmony than those with Yang(Qi)deficiency,indicating that personalized TCM conditioning measures should be developed based on the pathogenesis of TCM syndrome during different flight periods,combined with factors such as physical constitution,etc.Conclusion The research has verified the scientific nature and effectiveness of TCM pattern analysis based on"four diagnostic"methods,which could be used for achieving quantitative and comprehensive evaluation of astronaut health status from the perspective of TCM in long-term space flight.

With the rapid development of genome sequencing technologies, a large amount of prokaryote genomes have been sequenced in recent years. To further investigate the models and functions of genomes, the algorithms for genome annotations based on the sequence and homology features have been widely implemented to newly sequenced genomes. However, gene annotations only using the genomic information are prone to errors, such as the incorrect N-terminals and pseudogenes. It is even harder to provide reasonable annotating results in the case of the poor genome sequencing results. The transcriptomics based on the technologies such as microarray and RNA-seq and the proteomics based on the MS/MS have been used widely to identify the gene products with high throughput and high sensitivity, providing the powerful tools for the verification and correction of annotated genome. Compared with transcriptomics, proteomics can generate the protein list for the expressed genes in the samples or cells without any confusion of the non-coding RNA, leading the proteogenomics an important basis for the genome annotations in prokaryotes. In this paper, we first described the traditional genome annotation algorithms and pointed out the shortcomings. Then we summarized the advantages of proteomics in the genome annotations and reviewed the progress of proteogenomics in prokaryotes. Finally we discussed the challenges and strategies in the data analyses and potential solutions for the developments of proteogenomics.
Genomics ; Molecular Sequence Annotation ; Prokaryotic Cells ; metabolism ; Proteomics ; Tandem Mass Spectrometry

Objective: To investigate the application of percutaneous endoscopic gastrostomy (PEG) to patients with severe craniocerebral injury for the purpose of nutritional support therapy and pulmonary infection prevention.
Methods: A total of 43 patients with severe craniocerebral injury admitted to our department from January 2008 to December 2012 received PEG followed by nutritional therapy. There were other 82 patients who were prescribed nasal-feeding nutrition. Nutrition status was evaluated by comparing serum albumin levels, and the incidence of pulmonary infection 1 week before and 2 weeks after operation was identified and compared.
Results: Both PEG and nasal-feeding nutrition therapies have significantly elevated serum albumin levels (P<0.05). Serum albumin levels before and after nutritional therapies showed no significant difference between the two groups (P>0.05). The incidence of pulmonary infection in PEG group was significantly decreased compared with that in nasal-feeding nutrition group (P<0.05).
Conclusion: PEG is an effective method for severe craniocerebral injury patients. It can not only provide enteral nutrition but also prevent pulmonary infection induced by esophageal reflux.