Objective To investigate the molecular mechanism of mood disorders in psoriatic patients.Methods The expression of nerve growth factor receptor p75(NGFR p75)and p140trkA were detected by immunohistochemical technique.The patients' mood was measured with self-rating anxiety scale(SAS)and self-rating depression scale(SDS).Results There is a positive correlation of the expressions of NGFR p75and p140trkA with the patients' mood disorders in psoriatic patients.Conclusion NGF and its receptors are the important substance served as a mediator of the mood disorders affecting psoriatic patients' condition.

Objective To investigate the expression of nerve growth factor receptors, P75 neurotrophin receptor (P75~(NTR)) and tyrosine kinase A (TrkA), and to explore their role in the pathogenesis of psoriasis vulgaris. Methods In situ hydridization and immunohistochemical technique were used respectively to detect the expression of P75~(NTH) and TrkA mRNA and proteins in lesional and non-lesional skins of 38 patients with psoriasis vulgaris (21 cases in progressive stage, 17 cases in static stage), and in normal skins of 10 healthy controls. Results In the case of expression of P75~(NTR) and TrkA mRNA and proteins, patients had significantly higher level than the normal control (P

Objective To investigate the imbalance between T helper 17 (Th17) cells and CD4+CD25+ regulatory T (Treg) cells in the peripheral blood of patients with psoriasis vulgaris and its significance. Methods Peripheral blood were collected from 48 patients with psoriasis vulgaris and 32 normal human controls. Pasoriasis area and severity index (PASI) was used to assess the disease severity in these patients. Flow cytometry was performed to determine the percentage of Th17 and Treg cells in peripheral blood, enzyme linked immunosorbent assay (ELISA) to measure the levels of serum interleukin (IL) -17 and IL-10. Results There was a significant increase in the percentage of Th17 cells [(2.70 ± 1.43)% vs. (0.86 ± 0.25)%, P< 0.01] and serum IL-17 level (90.65 ± 29.61 ng/L vs. 48.82 ± 5.49 ng/L, P < 0.01), but a decrease in the percentage of Treg cells [(3.63 ± 1.14)% vs. (7.87 ± 1.26)%, P< 0.01] and serum IL-10 level (17.78 ± 4.09 ng/L vs. 23.76 ± 3.82 ng/L, P <0.01) in patients with psoriasis vulgaris compared with the normal controls. The ratios of Thl7 to Treg cells and serum IL-17 to IL-10 level were significantly higher (0.95 ± 0.76 vs. 0.12 ± 0.06, 5.78 ± 3.19 vs. 2.16 ±0.68, both P < 0.01) in the patients than in the normal controls. The PASI score in patients was positively correlated with the percentage of Th17, serum level of IL-17, Th17/Treg ratio and IL-17/IL-10 ratio (r = 0.97,0.93, 0.99 and 0.97, all P < 0.01), but negatively correlated with the percentage of Treg cells and serum IL-10 level (r = -0.87, -0.90, both P < 0.01). Conclusion The imbalance between Th17 and Treg cells may play an important role in the pathogenesis of psoriasis vulgaris.

Objective To investigate the expression of heparanase in non-melanoma skin cancer including cutaneous squamous cell carcinoma (CSCC) and basal cell carcinoma (BCC) and the relationship among heparanase expression and pathologic grading and lymph nodes metastasis of CSCC. Methods The expressions of heparanase were detected by RT-PCR assay and immunohistochemical staining in 38 cases of CSCC, 33 BCC and 19 normal human skin tissues. Then the relationship between heparanase expression and CSCC clinical pathological features was explored. Results The positive rate ( 68.4%, 60. 5% ) of heparanase mRNA and heparanase in CSCC (24. 2%, 18. 2% ) was significantly higher than those of BCC and normal skin tissue ( 10. 5% ,5.3% ) ( P <0. 01 ) . Heparanase expression rate in CSCC with lymph nodes metastasis (92. 3% ,84.6% ) and Ⅲ～Ⅳ(Broders) (92. 3% ,84. 6% ) was higher than those in tumor without lymph nodes metastasis (56. 0% ,48.0% ) and Ⅰ～Ⅱ (Broders) (56. 0% ,48. 0% ) ( P <0. 05). Conclusions Heparanase was over-expressed in CSCC compared with BCC and normal skin tissues. Expression of heparanase was correlated to pathologic grade and lymph nodes metastasis of CSCC.

Objective To determine the median effective concentration (EC50) of epidural lidocaine inhibiting herpetic neuralgia.Methods The patients with thoracic or lumbar herpetic neuralgia,aged 20-60 yr,with body mass index of 18-25 kg/m2,of ASA physical status Ⅰ or Ⅱ,were included in the study.Epidural catheter was placed under the guidance of the digital subtraction angiography (DSA).An injection of iohexol mixed with lidocaine was given under the guidance of DSA to make sure that drug solution covered all the injured nerve roots.The initial concentration of lidocaine was 0.37％.The concentration was determined by up-and-down sequential allocation.Each time the concentration of lidocaine increased/decreased in the next patient depending on whether or not the analgesia was effective.The ratio between the two successive concentrations was 1.06.Effective analgesia was defined as VAS score ≤ 1 within 30 min after administration.The EC50 and 95 ％ confidence interval of lidocaine inhibiting herpetic neuralgia were calculated using Dixon formula.Results The EC50 of lidocaine inhibiting herpetic neuralgia was 0.199 ％ and the 95 ％ confidence interval was 0.168 ％-0.216 ％.Conclusion The EC50 of epidural lidocaine required to inhibit herpetic neuralgia is 0.199％.

OBJECTIVETo investigate the polymorphism of delta-aminolevulinic acid dehydratase(ALAD) and the genetic susceptibility to lead toxicity in Uighur and Yi population in China.

METHODSThe ALAD genotypes were determined by PCR and MspI restriction fragment length polymorphism techniques in 214 Uighur individuals from Xinjiang autonomous region and 144 Yi individuals from Yunnan province. The correlation between the polymorphism of ALAD and blood lead levels, and the factors affecting the latter were explored.

RESULTSThe frequencies of the allele ALAD1 and ALAD2 in Uighur are 0.91 and 0.09; and in Yi are 0.98 and 0.02 respectively. In Uighur the average blood lead level was (76 +/- 4) microgram/L, and 25.7% individuals with blood lead level > or = 100 micrograms/L. In Yi the average blood lead level was (50 +/- 16) microgram/L, and 6.3% individuals with blood lead level > or = 100 micrograms/L. However, no statistic correlation between the distribution of ALAD alleles and the blood lead level was found in both populations.

CONCLUSIONThe genetic susceptibility of ALAD polymorphism to lead toxicity may exhibit in a lead dose-dependent manner.

China ; ethnology ; Dose-Response Relationship, Drug ; Genetic Predisposition to Disease ; Humans ; Lead ; blood ; toxicity ; Polymorphism, Genetic ; Porphobilinogen Synthase ; genetics

OBJECTIVETo observe the effects of Qufengtongluo Recipe (QFTLR) on the expressions of cell cycle regulatory proteins in rat mesangial cells (MCs) in vitro and investigate the mechanism by which QFTLR inhibits MC proliferation.

METHODSUsing the methods of serum pharmacology, we studied the expressions of cell cycle regulatory proteins in rat MCs treated with QFTLR by laser scanning confocal microscope and immunohistochemistry.

RESULTSCompared with the normal control cells, the cells challenged with lipopolysaccharide (LPS) showed significantly enhanced expressions of cyclin D1, CDK2, and P21 (P<0.01) and obviously lowered protein expression of P27 (P<0.01). Treatment of the LPS-challenged cells with QFTLR and benazepril both resulted in significantly attenuated expressions of cyclin D1, CDK2, and P21 and obvious increase of P27 expression (P<0.05 or P<0.01), but QFTLR produced stronger effects than benazepril in regulating of cyclinD1, P21 and P27 protein expressions (P<0.05 or P<0.01).

CONCLUSIONQFTLR inhibits rat MC proliferation in vitro possibly by down-regulating the cellular expressions of cyclin D1, CDK2, and P21 and up-regulating the expression of P27 protein.

Animals ; Cell Line ; Cyclin D1 ; metabolism ; Cyclin-Dependent Kinase 2 ; metabolism ; Cyclin-Dependent Kinase Inhibitor p21 ; metabolism ; Cyclin-Dependent Kinase Inhibitor p27 ; metabolism ; Drugs, Chinese Herbal ; pharmacology ; Gene Expression Regulation ; drug effects ; Mesangial Cells ; cytology ; drug effects ; metabolism ; Rats ; Rats, Sprague-Dawley

As a promising method in artificial intelligence, deep learning has been proven successful in several domains ranging from acoustics and images to natural language processing. With medical imaging becoming an important part of disease screening and diagnosis, deep learning-based approaches have emerged as powerful techniques in medical image areas. In this process, feature representations are learned directly and automatically from data, leading to remarkable breakthroughs in the medical field. Deep learning has been widely applied in medical imaging for improved image analysis. This paper reviews the major deep learning techniques in this time of rapid evolution and summarizes some of its key contributions and state-of-the-art outcomes. The topics include classification, detection, and segmentation tasks on medical image analysis with respect to pulmonary medical images, datasets, and benchmarks. A comprehensive overview of these methods implemented on various lung diseases consisting of pulmonary nodule diseases, pulmonary embolism, pneumonia, and interstitial lung disease is also provided. Lastly, the application of deep learning techniques to the medical image and an analysis of their future challenges and potential directions are discussed.