[Objective]This study explores the acknowledgement of Ma Zhaosheng ’s life. [Method]This study, having been conducted by searching and combing historical documents, might come to a conclusion. [Result]Ma Zhaosheng, whose style name was ruibo and whose pseudonyms were wujingandyudan Taoist, lived in Changshu of Jiangsu provine during the Ming dynasty. His birth and death years were roughly 1570-1650 years. Ma yuanjun was his father, brother Ma Zhaozhen. Ma Zhaosheng had four sons: Ma Jue with style name of boxian, Ma Cha with style name of zhongzhao, Ma Menggui with style name of qiuqing and Ma Tinggui with style name of dangu. The medicine works of Ma Zhaosheng, the last disciple of Miao Xiyong, were more than ten kinds, but most scattered, the only remaining were the book of The Revised Print Of Traditional Chinese Medicine and the article of The Foreword Of Opinions About Talking Medicine. Ma Zhaosheng paid more attention to herbalism, and had rich clinical experience and abundant writings. [Conclution]The textual research on Ma Zhaosheng provides an important historical for analysis of his medical achievements. This research facilitates the study of Miao Xiyong’s mentoring relationship, his medical ideas and clinical experience in depth.

Objective To explore the effect of support with total parenteral nutrition(TPN)or early enteral and parenteral nutrition(EN+PN)on immune function of critically ill neurosurgical patients.Methods In this prospective control study,patients were divided inte TPN group and EN+PN group based on the timing of admission.The changes of immunological indicators including CD3,CD4,CD8,CD4/CD8,CD3/CD25,IgA,IgG,IgM,and serum protein before and after nutritional support were compared.Results The percentage of T lymphocyte subsets CD3,CD4,and CD8,the ratio of CD3+/CD25+,the plasma leveh of IgA,IgM,and IgG,and the serum protein were significantly increased after nutrifional supports(P<0.05,P<0.01).However,compared with the TPN group,the percentages of T lymphocyte subsets(CD3,CD4,and CD8),the ratio of CD4+/CD8+,the plasma levels of IgA,IgM,and IgG,and the serum protein were significantly higher in EN+PN group(P<0.05,P<0.01).Conclusions Both TPN and EN+PN can promote the recovery of immune function,while EN+PN is superior to TPN.Early nutritional support should be provided to critically ill neurosurgical patients.

Objective To explore brain activity features during the resting state in alcohol dependent individuals,and study the relationship between the brain activity features and alcohol dependent individuals' clinical symptoms.Methods Twenty-four alcohol dependent individuals and 22 healthy control subjects,well matched in gender,age,education and handedness,were enrolled as the alcohol dependent group and control group respectively.AGE 3.0 T MR scanner was used to acquire all the subjects' resting state data. DPARSF software was used to process resting functional MRI data,and then the whole brain fractional amplitudes of low frequency fluctuation (fALFF) data were acquired.Two-sample t test statistical analysis was made to access fALFF difference between the two groups. Results In comparison with the control group,the alcohol dependent group showed reduced fALFF in bilateral medial prefrontal gyrus,right inferior occipital gyrus,left precuneus,left inferior temporal gyrus,and left posterior lobe of cerebellum (0.64-1.69 vs.0.87-1.78,t =- 4.23- - 2.79,P ＜ 0.05 ). fALFF was increased in the alcohol dependent group at the anterior cingulate,bilateral inferior frontal gyrus,right middle frontal gyrus,bilateral insular lobe,bilateral dorsal thalamus ( 0.86-1.82 vs. 0.76-1.58,t =3.56-3.96,P ＜ 0.05 ).Conclusion Alcohol dependent individuals had abnormal activity at the bilateral prefrontal lobe,anterior cingulate,bilateral dorsal thalamus,bilateral insular lobe,left posterior lobe of cerebellum et al,during the resting state,and these abnormal activities might be related with clinical manifestation and pathophysiology.

Objective To detect serum biomarkers for pancreatic cancer associated diabetes and establish a model for diagnosis.Methods SELDI-TOF-MS was used to detect the differentially expressed serum proteins from 17 pancreatic cancer associated diabetes patients,17 new-onset type Ⅱ diabetes patients and 17 healthy controls,then a model of biomarkers was constructed and validated by Biomarker Patterns Software 5.0.Results Twelve discriminating m/z peaks were identified in the protein fingerprints in 10 pancreatic cancer associated diabetes patients,10 new-onset type Ⅱ diabetes patients and 10 healthy controls.Among them,the three biomarkers of mass/charge ratio 6116,6695 and 8936 were used to construct the model,which could diagnose 90％ pancreatic cancer associated diabetes form control groups.Blind test of other7 samples of three groups showed that 100％ pancreatic cancer associated diabetes,71％ new-onset diabetes and 86％ healthy controls were correctly classified.After searching protein database,there were metallothionein,pancreatic progenitor cell differentiation and proliferation factor-like protein,and fibroblastic growth factor 1,which were close to the weights of the above mentioned 3 differentially expressed proteins.Conclusions SELDI can identify 3 biomarkers for pancreatic cancer associated diabetes and a reliable model for diagnosis of pancreatic cancer associated diabetes is established.