Objective:To analyze the optimal application groups and influent factors of MMSE were studied. Methods:A total of 4921 old people aged 55 years and over were selected by means of randomized stratification cluster sampling from the urban and rural areas in Xi'an. The MMSE scores distribution and positive predictive values were analyzed among subjects of different ages and educational levels. Multiple stepwise regression method was used to evaluate significant variables. Results:MMSE scores showed a negative and cliff distributions for different ages, education levels, as well as for the whole sample. Moreover, these features were found to be most pronounced in relatively younger old subjects (less 70 years) with comparably higher educational levels (upper high school). Accordingly, the screening-out rates for dementia were higher among relatively older subjects with poor educational levels, when compared to younger and fairly well-educated subjects. Variables such as education, age, sex, hearing loss and daily functional abilities could significantly affect the MMSE score ( P

Objective To study the early diagnostic value of olfactory function measurement to Alzheimer disease (AD). Method Detected the thresholds of detectability, identification threshold with pictu.re-based odor identification test in 21 AD patients (AD group) and 21 healthy elderly people (control group), and evaluated the relationship with mini-mental state examination (MMSE). Results AD group was impaired on threshglds of detectability [(1.81±0.75) scores], identification threshold [(2.48±0.68) scores]compared with control group [(1.24±0.89) scores and (2.00±0.71) scores, P< 0.05]. The thres holds of detectability and identification threshold were related to MMSE in AD group (r =-0.50,-0.54, P< 0.01). Conclusion The early diagnostic value of olfactory function measurement to AD is very great.

Objective To explore the characteristics and influencing factors of cognitive dysfunction in patients with essential tremor (ET).Methods We recruited ET patients diagnosed by the Department of Neurology of the First Affiliated Hospital of Xi`an Jiaotong University and healthy volunteers who matched the ET patients in age, gender and education level for the study.We recorded all the patients` demographic information, tremor degree, and family history based on the family tree.All the participants were tested by MMSE, MoCA, ADL, HAMD and HAMA.Results There were 88 ET patients and 63 normal subjects included in the study.According to MMSE, 31.82％ of the patients had cognitive dysfunctions, with orientation, short-term memory, calculation ability, language skills, retelling, reading comprehension, three-level command and drawing being significantly lower than those of the healthy volunteers (P<0.01);orientation was the most serious damage in cognitive function domain (K=0.624, S=0.726);three-level command was the least serious damage (K=0.274, S=0.319).According to MoCA, 86.36％ of the ET patients had cognitive dysfunction higher than normal people (P<0.05);visual space and execution, clock drawing task, naming, attention, 100-7, language skills, abstract thinking and orientation were significantly lower than normal people (P<0.01);the most serious damage in cognitive function domain was visual space and execution (K=0.651, S=0.786); the least serious damage cognitive function domain was “100-7” (K=0.406, S=0.484). Education level and age affected cognitive dysfunction (P<0.05). ADL scores showed negative correlation with cognitive function (correlation =－0.375 and －0.383, respectively; P<0.001). After the effects of anxiety and depression were excluded, onset age and tremor grading were correlated with cognitive dysfunction (P<0.05). When the above factors were put into binary Logistic regression model, education level was found to be contributed to the model (P<0.05).Conclusion Patients with ET widely suffer from cognitive impairment. Age, education level, daily life disability, age of onset, and tremor degree classification can affect cognitive dysfunction.

Objective To investigate the abnormalities of brain gray matter volume in patients with clinically-confirmed essential tremor (ET)of the hands only.Methods We analyzed brain gray matter voxel of 1 7 patients (younger than 55 years)with ET of the hands only and 1 7 healthy controls matched in age,gender and education by optimized voxel-based morphometry (VBM).Results VBM showed marked expansion of the bilateral cerebella, occipital fusiform cortices,and precentral lobes (P uncorrected < 0.005 )in ET patients compared with the controls. Atrophy was only detected in left parietal lobe.We also found volume enlargement in the thalamus,midbrain,and melluda of the left side by region of interest (ROI )analysis (P uncorrected <0.005).Conclusion Patients with arm tremor show expansion of gray matter,which might represent the adaptive reorganizational compensation through the increased demand on the visuospatial control of skilled movements in ET patients with early-stage arm tremor. These morphological changes may help to assess early stage and distinguish subtype of ET.

Hepatitis B virus (HBV) infection is still a serious disease threatening human health. Anti-HBV treatment is an extremely important means to reduce the threat of hepatitis B. In recent years, there has been no consensus on the timing and drug selection of anti-HBV therapy. The timing and drug selection of anti-HBV therapy in various populations are discussed in this article.

Unlike healthy, non-transformed cells, the proteostasis network of cancer cells is taxed to produce proteins involved in tumor development. Cancer cells have a higher dependency on molecular chaperones to maintain proteostasis. The chaperonin T-complex protein ring complex (TRiC) contains eight paralogous subunits (CCT1-8), and assists the folding of as many as 10% of cytosolic proteome. TRiC is essential for the progression of some cancers, but the roles of TRiC subunits in osteosarcoma remain to be explored. Here, we show that CCT4/TRiC is significantly correlated in human osteosarcoma, and plays a critical role in osteosarcoma cell survival. We identify a compound anticarin-β that can specifically bind to and inhibit CCT4. Anticarin-β shows higher selectivity in cancer cells than in normal cells. Mechanistically, anticarin-β potently impedes CCT4-mediated STAT3 maturation. Anticarin-β displays remarkable antitumor efficacy in orthotopic and patient-derived xenograft models of osteosarcoma. Collectively, our data uncover a key role of CCT4 in osteosarcoma, and propose a promising treatment strategy for osteosarcoma by disrupting CCT4 and proteostasis.