Gastrodia elatais graded as top medication in theShen Nong’s Herbal Classic. It was mainly distributed in southwest China. Its quality varied with geographical location. And the quality difference between wild and cultivated sample was extreme. Identifications using traditional methods were unable to accurately distinguish the quality ofG. elata. Therefore, near-infrared (NIR) spectroscopy combined with pattern recognition method was used to distinguish the quality ofG. elata from different geographical locations as well as cultivated or wild. The results demonstrated that using NIR spectroscopy combined with multiclass classification algorithm, the geographical location ofG. elata can be accurately distinguished. The prediction accuracy can reach as high as 94.3% and 96.4% for both applications. Besides, the classification model was built without preprocessing; hence, it can be extended to be applied on-site.

Objective To investigate the effect of α7nAchR gene 713T>C mutation on the cognitive function and Aβ expression in Alzheimer′s disease(AD)mice.Methods Twenty APPSwe transgenic APPa7KO mice(6 months old,α7nAchR gene knockout)were divided into the mutation type group and wild type group according to the random number table method,10 cases in each group.The mutation type and wild type of AVV-α7nAchR cDNA were respectively injected by lateral ventricle,once per month,for 6 times.The change of cognitive function in mice was examined by Morris water maze.The ELISA method was used to detect Aβ 40 and Aβ 42 expression levels.The Aβ plaque deposit situation was detected by the immunochemical method.Results Compared with the mice in the wild type group,the escape latency and the time of first time to find the platform of the mice in the mutation type group were significantly extended,while Hippocampal Aβ40 and Aβ42 expression levels were significantly increased,the difference was statistically significant(P＜0.05).Conclusion α7nAchR gene 713T>C mutation aggravates the cognitive function impairments in AD mice and hippocampal neuron Aβ expression level.

ToprovidethemethodologyforrapidqualityevaluationofLonicerajaponica,wehaveestablished the stable quantitative model of near infrared spectroscopy ( NIR) . The performance of Bagging partial least squares (Bagging-PLS) model and Boosting partial least squares (Boosting-PLS) model was compared with that partial least squares ( PLS ) model based on the NIR data of ethanol precipitation process of Lonicera japonica. On this basis, the performance of these two models after variables selection was also studied by the methods of siPLS ( synergy interval partial least squares ) and CARS ( competitive adaptive reweighted sampling) . The experimental results showed that the prediction performance of Bagging-PLS and Boosting-PLS models was superior to PLS model with the latent factor of 10 . The band of 820-1029 . 5 nm and 1030-1239. 5 nm for the first batch was selected by the method of siPLS. In addition, the band of 820-1029. 5 nm and 1030-1239. 5 nm was selected for the second batch sample in the same method. Furthermore, the method of CARS was taken to select variables for the two batches samples with 5-fold cross-validation and 10-fold cross-validation. And the lowest RMSECV( root mean square error of cross-validation) values were used to take subset. Compared to the model performance without the method of CARS, the RMSEP value of the Bagging-PLS model and Boosting-PLS model for the concentration of chlorogenic acid reduced by 0 . 02-0 . 04 g/L and rp(correlation coefficient of prediction)value increased by 4%-5%. Generally, Bagging-PLS and Boosting-PLS could be regarded as rapid prediction methodsfor NIR quantitative models of ethanol precipitation process of Lonicera japonica.

This study was aimed to find out the correlation between chemical component contents and physical prop-erties of tanshinone extract powders. The contents of cryptotanshinone and tanshinone IIA from 50 batches of tanshi-none extract powders were determined by HPLC. And the physical properties were determined by classical methods. The correlation analysis between component contents and physical properties were also investigated. The results showed that two sets of variables had good intraclass correlation, especially for the contents of cryptotanshinone and tanshinone IIA, among D10, D50, D90, there were relatively strong correlation between the bulk density and tapped density, between the Hausner ratio and compressibility index. The angle of repose had a certain correlation with the uniformity, Hausner ratio and compressibility index, but with no strong correlation. The correlation coefficient be-tween two sets was below 0.400, suggesting there was a not so good inter-group correlation. After the canonical cor-relation analysis, three pairs of canonical variables had significant correlations with correlation coefficients being 0.851, 0.674 and 0.565, respectively. It was concluded that there was a good intraclass correlation for each of physi-cal and/or chemical quality set, but the correlation between the two sets was bad. Canonical variables performed bet-ter inter-group correlation compared with original variables, indicating there was a certain correlation between chem-ical and physical quality attributes of tanshinone extract powders.

Abstract: The design space of the high shear wet granulation process was established and validated within the framework of quality by design (QbD). The system of microcrystalline cellulose-de-ioned water was used in this study. The median granule size and bulk density of granules were identified as critical quality attributes. Plackeet-Burmann experimental design was used to screen these factors as follows: dry mixing time, the impeller and chopper speed of dry mixing, water amount, water addition time, wet massing time, the impeller and chopper speed of wet massing and drying time. And the optimization was implemented with the central composite experimental design based on screened critical process parameters. The design space of the high shear wet granulation process was established based on the quadratic polynomial regression model. Since the P-values of both models were less than 0.05 and values of lack of fit were more than 0.1, the relationship between critical quality attributes and critical process parameters could be well described by the two models. The reliability of design space, illustrated by overlay plot, was improved with the addition of 95% confidence interval. For those granules whose process parameters were in the design space, the granule size could be controlled within 250 to 355 μm, and the bulk density could be controlled within a range of 0.4 to 0.6 g x cm(-3). The robustness and flexibility of the high shear wet granulation process have been enhanced via the establishment of the design space based on the QbD concept.

Keratitis-ichthyosis-deafness (KID) syndrome has genetic heterogeneity, and the clinical manifestations of some patients may overlap with Clouston syndrome. A 34-year-old female patient came to our department with a complain of “sparse hair, rough skin, photophobia and deafness for more than 30 years.” We found that the proband and two other family members (57-year-old mother and 4-year-old daughter) had similar clinical manifestations:systemic hair loss, generalized skin hyperkeratosis, especially in the metacarpophalangeal area. Subungual hyperkeratosis, finger/toenail dystrophy, as well as photophobia and epiphora. According to the investigation, one of the family members also had similar clinical manifestations (grandfather of the proband) and he’s died. The other three members of the family had no hearing impairment, and all patients had typical nail dystrophy, hair loss and palmoplantar hyperkeratosis, similar like as seen in Clouston syndrome, so we suspected to diagnose the case as Clouston syndrome. However, after genetic testing, it was found that the proband, his mother and daughter all had p.Asp50Asn heterozygous mutations in the GJB2 gene, and no mutation was detected in GJB6. The modified diagnosis was KID syndrome.

Objective To investigate the imaging changeof cerebral ischemireperfusion injury (CIRI) afteinterventional therapy in acute middle cerebral artery occlusion .Method32 patientwith acute middle cerebral artery occlusion in ouhospital from January 2013 to Novembe2014 were selected .16 casewere performed the recanalization therapy aftearterial thrombolysiand/omechanical thrombectomy(recanalization group) and 16 casewere notreated by thrombolytitherapy (non-recanalization group) .The differenceof brain imaging changes(onse,on 3 ,7 d afteonset) were analyzed and compared between the two group. ResultThe proportion of lateral ventricle compression degree and the shifdegree of brain midline on 3 d afteonsein the reca-nalization group were greatethan those in the non-recanalization group ,the differencebetween the two groupwere statistically significant[0 .50 ± 0 .11 v.0 .58 ± 0 .10 ,0 .57(0 .18 ,0 .83)cm v.0 .22(0 ,0 .57)cm ,P＜0 .05] ,while which on 7 d of onsein the recanalization group were lesthan those in the non-recanalization group[0 .80 ± 0 .11 v.0 .55 ± 0 .12 ,0(0 ,0 .13) v.0 .46(0 , 0 .88)cm ,P＜0 .055] .Conclusion Although the interventional therapy ian importanmeasure foearly treatmenof ischemistroke ,buiaggravatethe early brain edem,therefore CIRI induced by the interventional therapy should be paid more attention to.

OBJECTIVETo investigate the impact of repeated data acquisition on the stability of NIR quantitative calibration model, and make a preliminary analysis on reasons for the impact.

METHODYinhuang decoction was used as the subject, and NIR spectrum samples were collected. By reference to HPLC's determination value, the baicalin quantitative calibration model was established by using recursive least square algorithm to detect cumulative-LVs curve of latent variables. The impact of calibration model caused by repetitive samples was explained in latent variance space.

RESULTAfter averaging the repetitive spectrum samples, quantitative prediction model, which was built by optimal method of spectrum pretreatment, showed the ideal prediction result (RMSECV = 1.824). The area under the cumulative-LVs curve of latent variables was obviously larger than other modeling methods, i. e., this model is more stable.

CONCLUSIONAveraging of multiple measurements can dramatically improve the predictive ability of the model and make the model more stable.

Calibration ; Drugs, Chinese Herbal ; chemistry ; Models, Statistical ; Reproducibility of Results ; Spectrophotometry, Infrared ; methods ; Time Factors

BACKGROUNDOccult invasive cervical cancer discovered after simple hysterectomy is not common, radical parametrectomy (RP) is a preferred option for young women. However, the morbidity of RP was high. The aim of our study is to assess the incidence of parametrial involvement in patients who underwent radical parametrectomy for occult cervical cancer or radical hysterectomy for early-stage cervical cancer and to suggest an algorithm for the triage of patients with occult cervical cancer to avoid RP.

METHODSA total of 13 patients with occult cervical cancer who had undergone RP with an upper vaginectomy and pelvic lymphadenectomy were included in this retrospective study. Data on the clinicopathologic characteristics of the cases were collected. The published literature was also reviewed, and low risk factors for parametrial involvement in early-stage cervical cancer were analyzed.

RESULTSOf the 13 patients, 9 had a stage IB1 lesion, and 4 had a stage IA2 lesion. There were four patients with grade 1 disease, seven with grade 2 disease, and two with grade 3 disease. The median age of the entire patients was 41 years. The most common indication for extrafascial hysterectomy was cervical intraepithelial neoplasia 3. Three patients had visible lesions measuring 10-30 mm, in diameter and ten patients had cervical stromal invasions with depths ranging from 4 to 9 mm; only one patient had more than 50% stromal invasion, and four patients had lymph-vascular space invasion (LVSI). Perioperative complications included intraoperative bowel injury, blood transfusion, vesico-vaginal fistula, and ileus (1 case for each). Postoperative pathologic examination results did not show residual disease or parametrial involvement. One patient with positive lymph nodes received concurrent radiation therapy. Only one patient experienced recurrence.

CONCLUSIONSPerioperative complications following RP were common, whereas the incidence of parametrial involvement was very low among selected early-stage cervical cancer patients. Based on these results, we thought that patients with very low-risk parametrial involvement(tumor size ≤ 2 cm, no LVSI, less than 50% stromal invasion, negative lymph nodes) may benefit from omitting RP. Further prospective data are warranted.

Adult ; Cervical Intraepithelial Neoplasia ; Combined Modality Therapy ; Female ; Humans ; Hysterectomy ; Lymph Node Excision ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasms, Unknown Primary ; Postoperative Complications ; Retrospective Studies ; Risk Factors ; Uterine Cervical Neoplasms

Objective:To study the effects of Zuogui Pills on the expressions of miR-133b-3p and RhoA in osteoclasts of postmenopausal osteoporosis rats; To discuss its potential mechanism.Methods:SD female rats were randomly divided into normal group, model group, sham-operation group, and Zuogui Pills group using a random number table method, with 6 rats in each group. The model group and Zuogui Pills group were treated with oophorectomy to construct a rat model of osteoporosis. Zuogui Pills group was orally administered with Zuogui Pills decoction at a concentration of 10 g/kg for 12 consecutive weeks. Colorimetric method was used to measure the serum calcium and phosphorus levels of rats, and ELISA method was used to detect ALP levels. Bone density meter was used to measure the bone density of the femurs of rats in each group. The osteoclast of each group were cultured, and the expressions of RANKL and RUNX2 protein were detected by Western blot. MiRNA sequencing and differential expression analysis were performed on bone tissues of rats. Osteoclasts were treated with miR-133b-3p mimic and its negative control. The cell proliferation activity of osteoclasts was detected by cell counting kit-8 (CCK-8). The osteoclast differentiation activity was detected by the tartrate-resistant acid phosphatase staining. The dual-luciferase reporter assay was used to detect the relationship between miR-133b-3p and RhoA. The "rescue" experiment of miR-133b-3p mimic and RhoA co-expression were used to study the molecular regulatory mechanism of Zuogui Pills on osteoclast activity.Results:Compared with the model group, the bone mineral density of Zuogui Pills group significantly increased ( P<0.05, P<0.01), the levels of calcium and phosphorus in serum increased, the level of alkaline phosphatase ALP decreased ( P<0.05), the expression of RANKL protein decreased, and the expression of RUNX2 protein increased. Sequencing results showed that rno-miR-133b-3p was down-regulated in osteoclasts of postmenopausa osteoporosis rats treated with Zuogui Pills with the maximum difference ( P<0.01). Q-PCR results showed that the expression of miR-133b-3p in osteoclasts of Zuogui Pills group was significantly lower than that of the model group. The upregulation of miR-133b-3p could significantly promote the cell proliferation and differentiation of osteoclasts. RhoA overexpression could reverse the excessive proliferation and differentiation of osteoclasts caused by miR-133b-3p overexpression. Conclusions:RhoA is the target gene regulated by miR-133b-3p. Zuogui Pills can inhibit the activity of osteoclasts by regulating miR-133b-3p/RhoA axis, relieving the symptoms of osteoporosis.