Objective To identify the significance of neuropsychological single-item scales in the diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD).Methods A total of 676 elderly people living around Dongzhimen district in Beijing were recruited using multistage sampling method.Cognitive function was assessed by minimum mental state examination (MMSE)and other scales.MCI was diagnosed based on the criteria proposed by Petersen (1999),and AD was diagnosed based on the NINCDS-ADRDA.Subjects were divided into normal cognitive group (n=213 cases,31.5％),Alzheimer's disease (AD) group (n=167 cases,24.7％),amnestic mild cognitive impairment (aMCI) group (n=186 cases,27.5 ％) and non-AD dementia group (110 cases,16.3 ％).Results The MMSE scores in AD,aMCI and normal groups were 23.0 ± 5.9,25.9±2.6,8.1 ± 1.7,respectively.There were significant differences in MMSE scores between AD,aMCI and NC groups separately (all P＜0.01).Compared with MCI and NC group,th scores of time orientation,attention,calculation and immediate recall and delayed recall were significantly decreased in AD group (all P＜0.01).Comparing with normal group,the scores of attention and calculation were reduced in aMCI group (both P＜0.01).The delayed story recall (DSR) scores in AD,aMCI and NC groups were 15.7 ± 11.7,7.6 ± 4.9,26.5 ± 9.3,respectively.There were significant differences in mean DSR scores between AD,aMCI and NC groups separately (all P＜0.01).Compared with normal group,the clinical dementia rating (CDR) scores were higher and the mean clock drawing task (CDT)scores were lower in AD and aMCI groups (both P＜0.01).Conclusions Both neuropsychological assessment tools such as MMSE and single-item scales such as delayed story recall have the certain significance in the diagnosis of MCI and AD.

Objective To investigate the risk factors for mild cognitive impairment (MCI) in elderly people in Beijing.Methods Using multistage cluster random sampling,129 elderly people aged 60-80 years living around Dongzhimen communities were interviewed by mini-mental state examination (MMSE) and National Institute of Neurological and Communicative Diseases and Stroke/ Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria for screening MCI and Alzheimer's disease (AD).Results Thirty-seven cases (28.7%) had amnestic MCI (aMCI),thirty-six cases (27.9%) had AD,and fifty-six cases (43.4%) were with normal cognitive state (NCS).The age was older in aMCI patients or AD patients than in NCS[(67.6±7.5)y vs.(62.5±7.9)y,(67.6±7.5)y vs.(62.5±7.9)y,both P<0.01],Andthe aMCI or AD patients had low level of education (P<0.05).The blood pressure was higher in the patients suffered from aMCI or AD than in people with NCS more or less (P<0.05).The prevalence of aMCI was related to the body mass index (BMI) (P<0.05),while that of AD had no significant relation with BMI (P>0.05).The prevalence of aMCI or AD was not significantly different between male and female or between different birth months.(all P>0.05).Conclusions The prevalence of aMCI increases with age,lower level of education,higher level of blood pressure and BMI,while it has no significant relations with gender or birth month.

Objective To investigate the dementia caregivers' awareness of dementia diagnosis for patients aged≥80 years in veterans community in Beijing.Methods Patients aged 80 years and over who were diagnosed as dementia were selected from Dec.2009 to Jul.2011 in the veterans community in Beijing.A face-to-face interview and questionnaire survey were conducted in dementia caregivers individually,including basic social demographic data (gender,age,educational background),awareness rate of dementia,treatment and drug use situation and their attitude to dementia patients.Results A total of 118 caregivers were investigated individually.The caregivers in this study were mainly the spouse of the patients,and most of them were elderly people.46.6％ (55/118) of caregivers were the spouse of the patients,and 52.5％ (62/118) of caregivers were 65 years old and over.The caregivers' awareness rate of dementia was 32.3％ (38/118) when patients were diagnosed as dementia.There was no correlations of gender,age and educational background with the awareness rate of dementia diagnosis (all P＞0.05).50％ of dementia patients received the dementia treatment,and only 17.8％ (21/118) of patients got the first line drug treatment for dementia (acetylcholinesterase inhibitors and / or memantine).98.3 ％ (116 / 118) of caregivers agreed that the dementia patients should be treated kindly.Conclusions The dementia caregivers are mainly patients' spouse in veterans community and most of them are the elderly.The awareness rate of dementia diagnosis is low among the caregivers.Most patients do not take the formal treatment.The social support for the dementia caregivers should be strengthened.

Objective To explore the application of serum SELDI proteomic patterns to distinguish breast cancer patients from healthy individuals.Methods All serum samples from 101 breast cancer patients and 45 healthy individuals were analyzed by surface-enhanced laser desorption/ionization time-of-fight mass spectrometry (SELDI-TOF-MS).The spectra were generated on weak cation exchange (WCX2) chips,and protein peaks clustering and classification analysis were made using Biomaker Wizard software and Biomarker Pattern software (BPS).Then the pattern was evaluated by blinded test.Results 49 different proteins were found to have statistically differential expression levels between breast cancer and normal control sera (P ＜ 0.05).A diagnostic model consisting of three protein peaks (M/Z 5627,8124 and 2864) could do the best in the diagnosis between breast cancer and healthy individual.When the diagnostic model was tested with the blinded test set,it yielded a positive value of 95 ％ (139/146),a sensitivity of 97 ％ (98/101) and a specificity of 91％ (41/45).Conclusion These results suggested that serum SELDI protein profiling can distinguish breast cancer patients from normal subjects with relatively high sensitivity and specificity.SELDI-TOF-MS plays a valuable role in the diagnosis of breast cancer and the discovery of new tumor-specific protein biomarkers.

This study was aimed to analyze the bioinformatics of proteomics of rat bone marrow mesenchymal stem cells (MSCs) intervened by active principle region of Yang-Xin Tong-Mai Formula (apr-YTF). The latest versions of bioinformatics tools including DAVID (http://david.abcc.ncifcrf.gov/) and GO (http://www.geneontology.org/) were combined to assign a precise function to rat bone marrow MSCs intervened by apr-YTF. KEGG and VISANT were assigned with a precise function to rat bone marrow MSCs intervened by apr-YTF. The results showed that a total of 102 biological processes were mainly involved, with 35 cellular components and 6 molecular functions. These proteins interacted in 3 signal transduction pathways. It was concluded that the following proteins and signal transduction pathways played an important role in the process of apr-YTF inducing BMSCs differentiation into cardiomyocytes. Presenilin-1 and Presenilin-2 were in the Notch signaling pathway. And syntaxin-4 protein was in soluble N-ethylmaleimide sensitive fusion protein attachment protein (SNARE). The apr-YTF played a role on MSCs from multiple sites, with multiple links through different biological processes. The bioinformatics of proteomics can predict action mechanism of traditional Chinese medicine (TCM) from the holism concept. The validation in combination with molecularbiology was a good way for TCM modernization.

Objective: To evaluate the usage of ultrasound guided wire-localization, nano-carbon staining and the combination of the above two methods in detecting sentinel lymph node (SLN) in breast cancer. Methods: A total of 159 cases of breast cancer from May 2015 to December 2017 in Shanxi Provincial Cancer Hospital were selected, and they were treated with ultrasound guided wire-localization, nano-carbon staining and combination of the two methods separately to detect SLN before the operation. After the operation, SLN and axillary lymph node in each group were marked and made pathological diagnosis. Results: There were 69 cases with pathological diagnosis of SLN metastasis and 90 cases without abnormal representation. With the patient as the unit, the sensitivity of ultrasound guided wire-localization was 100.0% (69/69), the sensitivity of nano-carbon staining was 98.6% (68/69), and the sensitivity of combination of the two methods was 97.1% (67/69). The specificity of ultrasound guided wire-localization was 3.3% (3/90), the specificity of nano-carbon staining was 2.2% (2/90), and the specificity of combination of the two methods was 5.6% (5/90). With the count of SLN as the unit, the combination of the two methods had the highest diagnostic efficiency in detecting SLN, and the difference was statistical significant (χ² = 34.31, P < 0.001). Conclusions Ultrasound guided wire-localization and nano-carbon staining are safe and accessible methods for detecting SLN. It provides a precise treatment for early breast cancer, and it can protect medical staff from radiation, which is expected to be the best method for detection of SLN in breast cancer.