Twelve specimens of genital warts were excised from 12 patients and divided into three parts. One part was untreated, the second and the third part were treated with CO_2 laser and microwave respectively. HPV DNA was amplified and detected in 100% of untreated specimens (HPV16 and HPV11 in six patients each), in 83% and 50% of specimens treated with CO_2 laser and microwave respectively. There was a significant difference in the detection rates between untreated and microwave treated specimens (X~2=4.18, P

Objective To investigate the inhibitory effects of traditional Chinese medicine (TCM) on hypermelanosis and provide experimental evidence for treating skin pigmentary disorders. Methods Five TCMs with strong inhibitory effects on tyrosinase activity were tested. The changes of the number and morphology of melanocytes induced by UVB were observed in the experimental hypermelanosis model (brownish guinea pig). Results Decreased melanocytes and melanin granules were found with the treatment of Poria cocos, Polyporus umbellatus, Cornus officinalis Sieb. et Zucc., Atractylodes macrocephala Koidz., Astoagalus complanatus R. Br. ex Bge. Conclusion There are inhibitory effects on hypermelanosis induced by UVB with the treatment of Poria cocs, Polyporus umbellatus, Cornus officinalis Sieb.et Zucc., Atractylodes macrocephala Koidz., Astoagalus complanatus R. Br.ex Bge.

BACKGROUND:Mesenchymal stem cel s are the seed cel s for tendon tissue engineering which can be obtained in large quantities, but how to induce in vitro is a key technology.
OBJECTIVE:To explore the effect of platelet-rich plasma on the proliferation and col agen production of in vitro cultured mesenchymal stem cel s.
METHODS:The rabbit mesenchymal stem cel s were separated ad cultured. The high-dose platelet-rich plasma group, middle-dose platelet-rich plasma group and low-dose platelet-rich plasma group were set to induce the mesenchymal stem cel s, and the blank control group was set as control.
RESULTS AND CONCLUSION:The proliferation of mesenchymal stem cel s in the high-dose platelet-rich plasma group, middle-dose platelet-rich plasma group and low-dose platelet-rich plasma group was high, and in rapid growth with big increase amplitude, and there was no significant difference in the proliferation when compared with the blank control group (P<0.05). The effect was positively correlated with the culture time, and after cultured for a certain time, the effect was in dose-dependent manner, as higher dose platelet-rich plasma had more significant effect on the proliferation of the cel s. The results indicate that platelet-rich plasma can significantly promote the synthesis of col agen type Ⅰ and Ⅲ of mesenchymal stem cel s, the higher the dose, the more significant the effect on the col agen.

Aim To study the mechanism of magnolol-induced HeLa cell death.Methods Cell viability was measured by MTT method.Morphological changes were observed by phase contrast microscopy and Hoechst 33258 staining. DNA fragmentation was assayed by agarose gel electrophoresis. Protein level was detected by Western blot analysis.Results Magnolol induced HeLa cell apoptosis and had a weaker cytotoxic effect on HEL 299 cell. The apoptosis of HeLa cells was partially reversed by caspase-3,-8,-9,-10 and caspase family inhibitors. Magnolol has a synergistic apoptotic effect with Fas agonistic antibody CH-11. Treatment of HeLa cells with magnolol for 12 h increased the protein expression ratio of Bax/Bcl-X_L; procaspase-3, ICAD and PARP were cleaved to smaller molecules. p53 and phosphorylation of p53 (ser-15) increased response to magnolol treatment.Conclusion Magnolol induced HeLa cell death via alteration of Bax/Bcl-X_L ratio,activation of caspases and accumulation of p53.

Objective To investigate the ultrastructural characteristics of amelanotic melanocytes (AMMCs). Methods Individual hair follicles from normal human scalp were digested with collagenase type V, then washed in phosphate buffer saline. Hair-follicle cell suspensions were prepared by trypsin and cultured in a medium suitable for melanocyte growth. The keratinocytes were removed by differential trypsinization. Geneticin (100?g/mL) was used to eliminate contaminating fibroblasts. After 3 passages the cells were trypsinized, washed in phosphate buffer saline, and finally processed for transmission electron microscopy. Results Under transmission electron microscope, the cultured cells were round or oval-shaped with a single large nucleus and double-layered karyotheca. Abundant euchromosome but sparse heterochromosome was observed within the nucleus. There were various organelles in the cytoplasm, including mitochondria, rough endoplasmic reticulum (RER), ribosomes and abundant melanosomes of nearly uniform size. The electronic density granules distributed in a concentric pattern in most of the melanosomes. Colgi complexes were inconspicuous in the cells. Conclusions Compared to epidermal melanocytes, AMMCs from human hair follicles have different ultrastructural characteristics which implies their functional immaturity. AMMCs may serve as the depot for mature melanocytes.

Objective To investigate the criteria of hemodynamic parameters for diagnosis of intracranial segment vertebral artery stenosis with transcranial color-coded sonography (TCCS ). Methods A total of 622 outpatients or inpatients with suspected posterior circulation ischemia were enrolled retrospectively,from which 216 patients were selected with TCCS,color Doppler flow imaging (CDFI)screen,and digital subtraction angiography (DSA)examination,including 33 patients (15. 3%) had normal intracranial vertebral arteries,the stenosis rates<50% were 45 cases (20. 8%),50%-69%were 44 cases (20. 4%),and 70%-99% were 94 cases (43. 5%). The mean velocity (MV)of intracranial segment,the ratios SPRP (PSV1/PSV2 ),SPRE (EDV1/EDV2 )of the systolic and end diastolic flow velocity between the intracranial segment and the intervertebral space segment were calculated respectively by detecting the intracranial segment of vertebral artery,the intervertebral space segment peak systolic velocity (PSV1 ,PSV2 )and end diastolic velocity (EDV2 ,EDV1 ). The DSA findings were used as the criteria,the area under the receiver operating characteristic (ROC ) curve was calculated and the optimal cut-off points were obtained. Results The optimal cut-off points of TCCS diagnosis of intracranial vertebral artery stenosis were as follows:the parameter standards of stenosis rate <50% were 110 cm/s≤PSV1≤145 cm/s and 65 cm/s≤MV≤85 cm/s,the parameter standards of stenosis rate 50%-69%were 145 cm/s≤PSV1≤190 cm/s and 85 cm/s≤MV≤115 cm/s,and the parameter standards of stenosis rate 70%-99% were PSV1≥190 cm/s and MV≥115 cm/s. Conclusion TCCS may effectively evaluate the hemodynamic changes of intracranial vertebral artery stenosis and provide reference for the ultrasound evaluation criteria of intracranial vertebral artery stenosis.

Objective To investigate the effects of Xanthoceraside on the learning and memory impairment induced in mire by innacere-broventricular injection of aggregated amyloid β peptide _(1-42)(Aβ_(1-42)). Methods Learning and memory functions in mice were examined us-ing step-through test and water maze test. Biochemical determination of acetylcholinesterase (AchE) and choline acetyl transferase (ChAT) were measured with spectrophotometric melhod. Results Administration of Xanthoceraside reduced number of error and prolonged the laten-cy in step-through test in mice impaired by Aβ_(1-42) (P < 0.05,P< 0.01,respectively). In water maze test,the swimming time decreased in mice treated with Xanthoceraside compared with the model mice impaired by Aβ_(1-42) (P< 0.05,P< 0.01,respectively). The results of bio-chemical determination showed that decrease level of AchE and ChAT in mice impaired by Aβ_(1-42) were significantly ameliorated by Xantho-ceraside administration (P < 0.05 and P < 0.01). Conclusion Xanthoceraside has the effect of improving learning and memory impairment in mice inducel by intracerebroventricular injection of Aβ_(1-42) via enhancing the cholinergic system functions.

Objective To evaluate the correlations of vascular structures,hemodynamic changes and recanalization before receiving carotid endarterectomy ( CEA) in patients with subtotal or complete occlusion of carotid artery using color Doppler flow imaging (CDFI) and transcranial Doppler (TCD) ultrasonography. Methods A total of 107 patients were diagnosed as subtotal ( stenosis rate 95% to 99%) or complete occlusion of carotid artery with DSA and treated with CEA at Beijing Xuanwu Hospital, Capital Medical University from January 2005 to January 2014 were enrolled retrospectively. The mean age of patients was 61 ± 9 years. According to the findings of DSA,they were divided into either a carotid artery subtotal occlusion group (n=63) or a complete occlusion group (n=44). The vascular diameter,the locations of the lesions ( internal carotid artery or common carotid artery) ,the lumen echo characteristics,and whether internal-external artery collateral circulation patent or not at different stages in patients of both groups were documented. Results The lumen diameter of distal segment was significant wider in patients of the complete occlusion group compared with the subtotal occlusion group (4. 1 ± 1. 1 mm vs. 3. 2 ± 0. 8 mm). There was significant difference between the 2 groups (P <0. 01). There was no significant difference between the location of occlusion and the recanalization rate (P=0. 460). The recanalization rate of the lumen homogeneous echo ( hypoecho and echodense) filling patients (94. 1% vs. 86. 7%) was significantly higher than that of the patients of heterogeneity echo. In patients with complete occlusion of internal carotid artery,the recanalization of CEA would increase when the internal-external collateral arteries were patent. For general comparison,the recanalization rate of the subtotal occlusion group was significantly higher than that of the complete occlusion group (P<0. 01). Conclusion The carotid artery diameter normal or broadening ,the homogeneous echo in the occlusive lumen and the internal-external collateral arteries patency are closely associated with the recanalization rate. The preoperative ultrasonography has great value for the assessment of recanalization of carotid artery occlusive disease after CEA.

Objectives Todynamicallyobservethechangesofhemodynamicparametersinpatients with severe stenosis of unilateral middle cerebral artery (MCA)by transcranial Doppler ultrasound (TCD) andtoevaluateandanalyzetherelatedfactorsforinfluencingthestenoticprocess.Methods Atotalof 113 consecutive patients with severe stenosis of unilateral MCA screened by TCD and confirmed by computed tomography angiography (CTA)and digital subtraction angiography (DSA)were enrolled retrospectively. They were divided into either a progressive group (n =43 )or a non-progressive group (n=90)according to the variation of MCA hemodynamic parameters. The effects of age,sex,major risk factors for cerebrovascular disease,clinical symptoms,clinical medication,and drug compliance on the stenotic process were documented and analyzed. Results (1)The comparison of detection rate of the risk factors for cerebrovascular disease:The patients with a history of smoking (72. 1%[n=31])in the progressive group was significantly higher than that (51. 1%[n=46])in the non-progressive group (P=0.022). The period of smoking of the patients in the progressive group were longer than that in the non-progressive group (28 ± 12 years vs. 21 ± 10 years,P=0. 011). (2)Comparison of MCA hemodynamic parameters:The distal pulsatility indexes of MCA stenosis at the first diagnosis in the progressive group were all lower than those in the non-progressive group (0. 66 ± 0. 10 vs. 0. 70 ± 0. 13;t= -2. 096,P=0. 038),and the distal pulsatility indexes of MCA stenosis at the end point in the patients of the progressive group were lower than those in the non-progressive group (0. 61 ± 0. 15 vs. 0. 74 ± 0. 15). There were significant differences (t=-2. 718,P= 0. 008). The peak systolic velocity (PSV)of the progressive MCA stenotic segments at the end point in 10 patients of the progressive group was higher than that in the non-progressive group (299 ± 23 cm/s vs. 244 ± 50 cm/s,t=3. 437;P=0. 001),while PSV of MCA in 33 patients with occlusion in the progressive group were significantly lower than those in the non-progressive group (56 ± 18 cm/s vs. 244 ± 50 cm/s,t= -20. 905;P=0. 000). (3)The regular medication:The patients using statins (atorvastatin calcium)were significantly lower than those of the non-progressive group (2. 3%[n=1] vs. 54. 4%[n=49],χ2 =33. 690;P<0. 01). (4)During the follow up period,the recurrence rates of transient ischemic attack and stroke of the progressive group were significantly higher than those of the non-progressive group (27. 9%[n=12]vs. 6. 7%[n=6],32. 6%[n=14]vs. 2. 2%[n=2];all P<0.01). (5)Multivariate Logistic regression analysis showed that smokers (OR,4. 403,95%CI 1. 094-14.017),cerebrovascular event recurrence (OR,10. 648,95%CI 2. 530 -41. 261),and irregularly taking statins (OR,5. 675,95%CI 1. 631-152. 740)were all closely associated with the progress of severeMCAstenosis.Conclusion EvaluationofthehemodynamicchangesofsevereMCAstenosiswith TCD follow up study can be used as an important basis for clinical assessment of the outcomes. Stop smoking and regularly taking statins may help to delay the progress of MCA stenosis.

Objective:To construct a computed tomography (CT)-based radiomics model for predicting tumor recurrence of early-stage hepatocellular carcinoma (HCC) after resection, and explore its application value.Methods:The retrospective cohort study was conducted. The clinicopathological data of 243 patients with early-stage HCC who underwent hepatectomy in 2 medical centers between January 2009 and December 2016 were collected, including 165 in the First Affiliated Hospital of Nanjing Medical University and 78 in the Wuxi People′s Hospital. There were 182 males and 61 females, aged from 30 to 86 years, with a median age of 57 years. According to the random numbers showed in the computer, 243 patients were randomly assigned into training dataset consisting of 162 patients and test dataset consisting of 81 patients, with a ratio of 2∶1. Using radiomics technique, a total of 3 384 radiomics features were extracted from the tumor and its periphery at arterial-phase and portal-phase images of CT scan. In the training dataset, a radiomics signature was constructed and predicted its performance after dimension reduction of stable features by using aggregated feature selection algorithms [feature ranking via maximal relevance and minimal redundancy (MRMR) combined with random survival forest (RSF) + LASSO-COX regression analysis]. Risk factors for tumor recurrence were selected using the univariate COX regression analysis, and two radiomics models including radiomics 1 (preoperative) and radiomics 2 (postoperative) were constructed and predicted their performance using backward stepwise multivariate COX regression analysis. The two models were validated in the training and test dataset. Observation indicators: (1) follow-up; (2) construction of HCC recurrence-related radiomics signature for early-stage HCC after resection; (3) prediction performance of HCC recurrence-related radiomics signature for early-stage HCC after resection; (4) construction of HCC recurrence-related radiomics prediction model for early-stage HCC after resection; (5) validation of HCC recurrence-related radiomics prediction model for early-stage HCC after resection; (6) comparison of the prediction performance of radiomics model with that of other clinical statistical models and current HCC staging systems; (7) stratification analysis of postoperative recurrence risk based on radiomics models for early-stage HCC after resection. Patients were followed up using outpatient examination or telephone interview once every 3 months within the first 2 years and once every 6 months after 2 years. The follow-up included collection of medical history, laboratory examination, and abdominal ultrasound examination. Contrast-enhanced CT or magnetic resonance imaging (MRI) examination was performed once every 6 months, and they were performed in advance on patients who had suspected recurrence based on laboratory examination or abdominal ultrasound for further diagnosis. Follow-up was up to January 2019. The endpoint was time to recurrence, which was from the date of surgery to the date of first detected disease recurrence or metastasis. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed by the t test. Measurement data with skewed distribution were described as M (range), and comparison between groups was analyzed by the Mann-Whitney U test. Count data were described as absolute numbesr or percentages, and comparison between groups was analyzed using the chi-square test. The survival curve and survival rate were respectively drawn and calculated by the Kaplan-Meier method, and the survival analysis was performed using the Log-rank test. Serum alpha-fetoprotein level was analyzed after the natural logarithm transformation. X-tile software was used to select the optimal cut-point for continuous markers. Results:(1) Follow-up: all the 243 HCC patients received follow-up. Patients in the training dataset were followed up for 4.2-109.2 months, with a median follow-up time of 51.6 months. Patients in the test dataset were followed up for 12.7-107.6 months, with a median follow-up time of 73.2 months. The 2-, 5-year disease-free survival rates were 77.8% and 53.1% of the training dataset respectively, versus 86.4% and 61.7% of the test dataset. There was no significant difference in terms of disease-free survival between two datasets ( χ2=1.773, P>0.05). (2) Construction of HCC recurrence-related radiomics signature for early-stage HCC after resection: of the 3 384 radiomics features, 2 426 radiomics features with high stability were selected for analysis. There were 37 radiomics features identified after combining the top 20 radiomics features ranked by MRMR and RSF algorithms. LASSO-COX regression algorithm further reduced their dimensionality to retain 7 radiomics features and construct a radiomics signature. The indicators including region, scanning phase, and weighting coefficient of above mentioned seven features were Feature 1 (peritumoral, arterial phase, 0.041), Feature 2 (peritumoral, arterial phase, -0.103), Feature 3 (peritumoral, arterial phase, -0.259), Feature 4 (intratumoral, arterial phase, 0.211), Feature 5 (peritumoral, portal venous phase, -0.170), Feature 6 (intratumoral, portal venous phase, 0.130), and Feature 7 (intratumoral, portal venous phase, 0.090), respectively. Radiomics signature score=0.041×Feature 1-0.103×Feature 2-0.259×Feature 3+ 0.211×Feature 4-0.170×Feature 5+ 0.130×Feature 6+ 0.090×Feature 7. (3) Prediction performance of HCC recurrence-related radiomics signature for early-stage HCC after resection: the radiomics signature showed favorable prediction performance in both training and test datasets, with respective C-index of 0.648 [95% confidence interval ( CI): 0.583-0.713] and 0.669 (95% CI: 0.587-0.750). (4) Construction of HCC recurrence-related radiomics prediction model for early-stage HCC after resection: results of univariate analysis showed that ln(serum alpha-fetoprotein), liver cirrhosis, tumor margin status, arterial peritumoral enhancement, intratumoral necrosis, radiomics signature, satellite nodules, and microvascular invasion were related factors for tumor recurrence after resection of early-stage HCC ( hazard ratio=1.202, 1.776, 1.889, 2.957, 1.713, 4.237, 4.364, 4.258, 95% CI: 1.083-1.333, 1.068-2.953, 1.181-3.024, 1.462-5.981, 1.076-2.728, 2.593-6.923, 2.468-7.717, 2.427-7.468, P<0.05 ). Results of multivariate analysis showed that the radiomics model 1 (preoperative) consisted of ln(serum alpha-fetoprotein), tumor margin status, and radiomics signature ( hazard ratio=1.145, 1.838, 3.525, 95% CI: 1.029-1.273, 1.143-2.955, 2.172-5.720, P<0.05); the radiomics model 2 (postoperative) consisted of ln(serum alpha-fetoprotein), radiomics signature, microvascular invasion, and satellite nodules ( hazard ratio=1.123, 2.386, 3.456, 3.481, 95% CI: 1.005-1.254, 1.501-3.795, 1.863-6.410, 1.891-6.408, P<0.05). Risk prediction formulas: radiomics model 1 = 0.135×ln(serum alpha-fetoprotein)+ 0.608×tumor margin status (0: smooth; 1: non-smooth)+ 1.260×radiomics signature; radiomics model 2 = 0.116×ln(serum alpha-fetoprotein)+ 0.870×radiomics signature + 1.240×microvascular invasion (0: absent; 1: present)+ 1.247×satellite nodules (0: absent; 1: present). (5) Validation of HCC recurrence-related radiomics prediction model for early-stage HCC after resection: in both training and test datasets, radiomics model 1 provided good prediction performance, with respective C-index of 0.716 (95% CI: 0.662-0.770) and 0.724 (95% CI: 0.642-0.806), while radiomics model 2 provided better prediction performance, with respective C-index of 0.765 (95% CI: 0.712-0.818) and 0.741 (95% CI: 0.662-0.820). Calibration curves demonstrated good agreement between model-predicted probabilities and observed outcomes. (6) Comparison of the prediction performance of radiomics model with that of other clinical statistical models and current HCC staging systems: in the training dataset, the prediction performance of radiomics model 1 for tumor recurrence after resection of early-stage HCC was significantly different from that of ERASL model (preoperative), Barcelona clinic liver cancer (BCLC) staging, Hong Kong liver cancer (HKLC) staging, and cancer of the liver Italian program (CLIP) classification (C-index=0.562, 0.484, 0.520, 0.622, 95% CI: 0.490-0.634, 0.311-0.658, 0.301-0.740, 0.509-0.736, P<0.05); the prediction performance of radiomics model 2 for tumor recurrence after resection of early-stage HCC was significantly different from that of ERASL model (postoperative), Korean model, and the eighth edition TNM staging (C-index=0.601, 0.523, 0.513, 95% CI: 0.524-0.677, 0.449-0.596, 0.273-0.753, P<0.05). In the test dataset, the prediction performance of radiomics model 1 for tumor recurrence after resection of early-stage HCC was significantly different from that of ERASL model (preoperative), BCLC staging, HKLC staging, CLIP classification (C-index=0.540, 0.473, 0.504, 0.545, 95% CI: 0.442-0.638, 0.252-0.693, 0.252-0.757, 0.361-0.730, P<0.05); the prediction performance of radiomics model 2 for tumor recurrence after resection of early-stage HCC was significantly different from that of ERASL model (postoperative), Korean model, and the eighth edition TNM staging (C-index=0.562, 0.513, 0.521, 95% CI: 0.451-0.672, 0.399-0.626, 0.251-0.791, P<0.05). (7) Stratification analysis of postoperative recurrence risk based on radiomics models for tumor recurrence after resection of early-stage HCC: according to the analysis of X-tile, the score of radiomics model 1 < 1.4 (corresponding to total points < 62.0 in nomogram) was classified into low-risk group while the score of radiomics model 1 ≥ 1.4 (corresponding to total points ≥ 62.0 in nomogram) was classified into high-risk group. The score of radiomics model 2 < 1.7 (corresponding to total points < 88.0 in nomogram) was classified into low-risk group while the score of radiomics model 2 ≥ 1.7 (corresponding to total points ≥ 88.0 in nomogram) was classified into high-risk group. In the training dataset, the 2- and 5-year recurrence rates were 14.1%, 35.3% for low-risk patients and 63.0%, 100.0% for high-risk patients, which were predicted by radiomics model 1. There were significant differences between the two groups ( χ2= 70.381, P<0.05). The 2- and 5-year recurrence rates were 12.9%, 38.2% for low-risk patients and 81.8%, 100.0% for high-risk patients, which were predicted by radiomics model 2. There were significant differences between the two groups ( χ2= 98.613, P<0.05). In the test dataset, the 2- and 5-year recurrence rates were 5.6%, 29.3% for low-risk patients and 70.0%, 100.0% for high-risk patients, which were predicted by radiomics model 1. There were significant differences between the two groups ( χ2= 64.453, P<0.05). Ther 2- and 5-year recurrence rates were 5.7%, 28.1% for low-risk patients and 63.6%, 100.0% for high-risk patients, which were predicted by radiomics model 2. There were significant differences between the two groups ( χ2= 58.032, P<0.05). Conclusions:The 7-feature-based radiomics signature is built by selection of CT radiomics features in this study, and then HCC recurrence-related radiomics prediction model for early-stage HCC after resection is constructed. The proposed radiomics models can complement the existing clinical-radiological-pathological prognostic sources, accurately and individually predict tumor recurrence risk preoperatively and postoperatively, which facilitate clinical decision-support for patients with early-stage HCC.