One hundred upper limbs of Chinese children of about ten years old weredissected for the study of their arterial branches forming the superficialvolar arch.The arches were divided into four types:1)radial arterial type,2)radial-ulnar arterial type,3)median-ulnar arterial type and 4)archlesstype.The first type has the highest percentage of 46%,the second one comesnext with 34%.The archless cases occupy 19%,and only in 1% was thearch formed by branches of the median and ulnar arteries.

Objective To investigatet the effects of miR-122 in the therapy of bone marrow derived stem cells (BMSCs)for acute liver injury in the rats,and to clarify the mechanism.Methods The BMSCs were isolated from the bone marrow of male rats by density gradient centrifugation.The BMSCs were divided into transfection group and control group.The BMSCs in transfection group were transfected with miR-122 mimics by liposome,while the BMSCs in control group were not.60 SD rats with acute liver injury induced by 10%CCl4 were randomly divided into control group (the saline was injected through mainline),normal treatment group (the normal BMSCs were injected through mainline) and experimental therapy group (the BMSCs transfected with miR-122 mimics by liposome were injected through mainline)(n=20).The liver function and tissue pathology were examined at 1 d, 7 d and 14 d after transplantation.Results The expression level of ALB in BMSCs was up-regulated,while the AFP expression level was down-regulated after the transfection of miR-122 mimics.At 1 d after transfection of BMSCs,the serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities had no significant difference between normal treatment group and experimental therapy group.At 7 d and 14 d after transfection of BMSCs,the serum ALT and AST activities in experimental therapy group were obviously lower than those in normal treatment group (P <0.05).The liver congestion,cytoplasm degeneration and liver cell necrosis in experimental therapy group were improved compared with normal treatment group.Conclusion The up-regulation of miR-122 expression in BMSCs would promote its differentiation into hepatocyte like cells,which plays a role in promoting the recovery of liver injury.

Objective To investigate the expressions of miR-21 in carcinoma tissue and serum of the patients with papillary thyroid carcinoma (PTC), and to clarify its clinical significance.Methods Real-time PCR was used to detect the expression levels of miR-21 in carcinoma tissue and serum of 46 PTC patients,thyroid tissue and serum of 35 cases of nodular goiter and 18 healthy people. The correlations of miR-21 expression level with the clinicopathological features of PTC patients were analyzed.Results The relative expression levels of miR-21 in carcinoma tissue and serum of the PTC patients were 2.74±1.53 and 0.21±0.08,and they were 0.92±0.81 and 0.08±0.05 in carcinoma tissue and serum of the patients with nodular goiter,0.86 ± 0.39 and 0.07 ± 0.03 in normal papillary thyroid tissue and serum of 18 healthy people.The expression levels of miR-21 in carcinoma tissue and serum of the patients with PTC were higher than those of the patients with nodular goiter and healthy people (P<0.05).The expression level of miR-21 in serum and carcinoma tissue of PTC patients had a positive correlation with the extraglandular invasion,distant metastasis,lymph node metastasis,and TNM stages (P<0.05);and it had no correlation with gender and tumor sizes.Conclusion The expression levels of miR-21 in carcinoma tissue and serum of the PTC patients are increased. The up-regulated expression of serum miR-2 1 is correlated with the clinicopathological features of PTC patients, which indicates that miR-2 1 could be used as a potential marker for early detection of PTC.

Objective To retrospectively analyse pathogenic bacteria isolated from inpatients with lupus erythematosus (SLE) and lupus nephritis (SLE‐LN ) ,and provide references for diagnosis and treatment for these patients with infection . Methods A total of 380 inpatients diagnosed with SLE/SLE‐LN in our hospital from 2010 to 2014 were enrolled in this study ,in‐cluding 96 cases of patients with SLE‐LN .Bacterial inoculation ,culture ,isolation ,identification and drug sensitivity test were carried out .Statistical analysis and susceptibility analysis was performed by using the SPSS 19 .0 and WHONET5 .6 software .Results For patients with SLE and SLE‐LN ,urinary tract infection accounted for 25 .0% and 27 .1% ,hematogenous infection accounted for 8 .1% and 10 .4% ,skin tissue infection accounted for 12 .0% and 8 .3% ,respectively .The most common gram negative bacteria was Escherichia coli ,which accounted for 25 .53% and 30 .21% in patients with SLE and patients with SLE‐LN ,respectively .Followed by Bauman Acinetobacter ,which accounted for 13 .42% and 14 .54% in patients with SLE and patients with SLE‐LN ,respectively . The most common gram positive bacteria was Staphylococcus aureus ,which accounted for 11 .58% and 11 .46% in patients with SLE and patients with SLE‐LN ,respectively .Strains of Escherichia coli were isolated from urine specimens of 69 .79% of patients with SLE and 66 .67% patients with SLE‐LN ,the percentages were significantly higher than that of the conventional urine culture (45% ,P< 0 .01) .The resistance rate of Escherichia coli strains isolated from patients with SLE to quinolones was higher than 66 .00% ,the resistance rate to ampicillin was 89 .69% ,and the resistance rate to piperacillin/tazobactam was low (3 .09% ) .The iso‐lation rates of ESBLs‐producing Escherichia coli strains and ESBLs‐producing Klebsiella pneumoniae strains in patients with SLE‐LN were higher than those in patients with SLE .Conclusion The patients with SLE have a higher risk for infection .The beta‐lac‐tams could be used for the treatment of Escherichia coli urinary tract infection in patients with SLE .

Objective:To investigate the feasibility of detection of serum pepsinogen (PG),gastrin-17 (G-17) and Helicobacter pylori antibody (anti-HP)in the gastric cancer screening,and to elucidate its clinical value. Methods:A total of 208 patients with early gastric cancer were selected as observation group;at the same time, 208 healthy examinees were regarded as blank control group.The levels of PGⅠ,PGⅡ and G-17 of the subjects in two groups were detected by enzyme-linked immunosorbent assay and latex-enhanced immunoturbidimetry;the positive rates of anti-HP were detected by 13 C urea breath test;the serum levels of PG Ⅰ,PG Ⅱ and PG Ⅰ /PGⅡ ratio of the anti-HP positive subjects (anti-HP positive group)and anti-HP negative subjects (anti-HP negative group)were compared and analyzed.Results:Compared with blank control group,the serum PGⅠ / PGⅡ ratio and PGⅠ level of the subjects in observation group were significantly decreased (P <0.01),and the levels of PG Ⅱ,G-17 and the positive rate of anti-HP were increased (P <0.01).Compared with anti-HP negative group,the serum PGⅠ / PGⅡ ratio and PGⅠ level of the subjects in anti-HP positive group were significantly decreased (P <0.01).The levels of PGⅡ and G-17 were significantly increased (P < 0.01).Conclusion:The detection of positive rate of anti-HP combined with the ratio of PGⅠ /PGⅡ has important clinical significance in gastric cancer screening.The levels of G-17 and PG Ⅱ in the epithelial neoplasia lesion tissue can be used as indicators of gastric precancerous lesions.

To construct an intelligent assistant diagnosis model based on the clinical images of basal cell carcinoma (BCC) and pigmented nevi in Chinese by using the advanced convolutional neural network (CNN).
 Methods: Based on the Xiangya Medical Big Data Platform, we constructed a large-scale clinical image dataset of skin diseases according to Chinese ethnicity and the Xiangya Skin Disease Dataset. We evaluated the performance of 5 mainstream CNN models (ResNet50, InceptionV3, InceptionResNetV2, DenseNet121, and Xception) on a subset of BCC and pigmented nevi of this dataset. We also analyzed the basis of the diagnosis results in the form of heatmaps. We compared the optimal CNN classification model with 30 professional dermatologists.
 Results: The Xiangya Skin Disease Dataset contains 150 223 clinical images with lesion annotations, covering 543 skin diseases, and each image in the dataset contains support for pathological gold standards and the patient's overall medical history. On the test set of 349 BCC and 497 pigmented nevi, the optimal CNN model was Xception, and its classification accuracy can reach 93.5%, of which the area under curve (AUC) values were 0.974 and 0.969, respectively. The results of the heatmap showed that the CNN model can indeed learn the characteristics associated with disease identification. The ability of the Xception model to identify clinical images of BCC and Nevi was basically comparable to that of professional dermatologists.
 Conclusion: This study is the first assistant diagnosis study for skin tumor based on Chinese ethnic clinical dataset. It proves that CNN model has the ability to distinguish between Chinese ethnicity's BCC and Nevi, and lays a solid foundation for the following application of artificial intelligence in the diagnosis and treatment for skin tumors.
Area Under Curve ; Carcinoma, Basal Cell ; diagnostic imaging ; Humans ; Neural Networks, Computer ; Nevus, Pigmented ; diagnostic imaging ; Skin Neoplasms ; diagnostic imaging