Objective: To determine tetrahydropalmatine in Juyanbaokang Granules (Rhizoma Corydalis, Radix Aconcti Lateralis Preparata, Radix Rauwolfiae, etc.) by SPE-HPLC. Methods : Samples were purified by C 18 SPE column. HPLC column was Dikma Diamonsil C 18 (250mm?4.6mm,5?m), mobile phase was 0.05M potassium dihydrogen phosphate-0.005M sodium heptanesulfonate-acetonitrile (1.2∶1.2∶1), flow rate was 1.2 mL?min -1 and detection wavelength was 230nm. Results : The calibration curve was linear in the range of 0.067 ～0.402?g for tetrahydropalmatine ( r =0.9997). The average recovery was 98.66%. Conclusion : The method with good separation is convenient, rapid, accurate and reliable.

Objective To analysis the clinical manifestations of a large Spinocerebellar Ataxia 3 pedigree to pro-vide the information for the early diagnosis of Ataxia 3. Methods SCA3/ATXN3 gene was determined by using Poly-merase Chain Reaction and fragment analysis in the large pedigree members and patients ’clinical data was collected. Five patients underwent MRI imaging and fundus examination. Results There were eighteen clinical patients and twelve ATXN3 carriers in this Pedigree . In addition to ataxia, three patients presented with intellectual disability, one with cer-vical spondylosis, one with dysmyotonia, one with disorder in visual system, and seven with abnormality in autonomic ner-vous system. The MRI revealed that pons and cerebellar atrophy in some patients inordinately. Undus examination did not reveal any obvious abnormality. Conclusions The symptoms of SCA3 are heterogeneous in the same pedigree. When patients present with symptoms of cerebellar system, visual system and autonomic nervous system, or cervical spondylosis and intellectual disability, SCA3 should be considered.

OBJECTIVETo explore the core mechanism of cell cycle compensation using a mathematical model.

METHODSA set of ordinary differential equations were used to describe the interactions between the core cell cycle molecules. Continuous and cyclic changes of the concentrations of these molecules were computed to capture the discrete events of molecular interactions.

RESULTSThe calculated molecule concentrations and captured signaling events agreed with the experimental results.

CONCLUSIONE2F transcription factor 1 is the pivotal element linking the positive and negative feedbacks and regulating G1/S and G2/M phase compensation.

Animals ; Cell Cycle ; Drosophila ; cytology ; E2F1 Transcription Factor ; Feedback, Physiological ; Models, Theoretical

Objective To investigate the function of JAK2-STAT3 signaling pathway in pancreatic injury and systematic inflammatory response in rats with acute necrotizing pancreatitis ( ANP) . Methods SD rats were randomly divided into the ANP group (n=48), ANP+JAK2 inhibitor Ruxolitinib group (ANP+R group, n=48), ANP+STAT3 inhibitot Stattic group (ANP+S group, n=48), ANP+Ruxolitinib+Stattic group (ANP+R+S group, n=48), and sham operation group (SO group, n=48). 5％ sodium taurocholate injection via retrograde pancreatobiliary duct was used to establish ANP model. Blood samples from abdominal aorta and pancreatic tissue were collected after 3 h, 6 h, 12 h and 18 h after modeling. Serum amylase (AMY) and tumor necrosis factor-α(TNF-α) and interleukin-4 (IL-4) were tested. JAK2 and STAT3 mRNA expression and protein expression of p-JAK2 and p-STAT3 in pancreas were examined by RT qPCR and western blot, respectively. Results AMY, TNF-α and IL-4 in plasma, and JAK2 mRNA, STAT3 mRNA, p-JAK2 protein and p-STAT3 protein at different time points in ANP group were all obviously higher than those in SO group(P<0. 05). Serum AMY, TNF-αand IL-4 in ANP+R group, ANP+S group and ANP+R+S group at different time points were lower than those in ANP group [12 h (5391 ± 1009),(6130 ± 1227),(4818 ± 992)U/L vs (8524 ± 1360) U/L;(147.25 ± 27.85),(156.25 ± 23.17),(127.87 ± 21.39) ng/L vs (187.58 ±20.09)ng/L;(45.89 ±16.95),(50.19 ±15.87),(38.87 ±14.03)ng/L vs (58.85 ±9.34)ng/L] . JAK2 mRNA and p-JAK2 protein,STAT3 mRNA and p-STAT3 protein in ANP+R group and ANP+R+S group at different time points were obviously lower than those in ANP group (12 h 0. 357 ± 0. 091 vs 0. 597 ± 0. 121,1. 115 ± 0. 203 vs 1. 217 ± 0. 213,0. 361 ± 0. 089 vs 0. 489 ± 0. 097,0. 965 ± 0. 189 vs 1. 128 ± 0. 217, 0. 362 ± 0. 092 vs 0. 597 ± 0. 121,1. 107 ± 0. 212 vs 1. 217 ± 0. 213,0. 297 ± 0. 087 vs 0. 489 ± 0. 097,0. 713 ± 0. 184 vs 1. 128 ± 0. 217). STAT3 mRNA and p-STAT3 protein in ANP+S group were obviously lower than those in ANP group(0. 319 ± 0. 107 vs 0. 489 ± 0. 097,0. 849 ± 0. 177 vs 1. 128 ± 0. 217), and the difference was statistically different (P<0.05). Conclusions The activation of JAK2-STAT3 signaling pathway in pancreas may play a key role in the pathogenesis of systematic inflammatory response in ANP.

Objective : To study the regulatory effect of coiled-coil domain containing 134 (CCDC134) on the osteogenic differentiation of human dental pulp stem cells (hDPSCs). Methods : HDPSCs were isolated and cultured from dental pulp tissue and transfected with NC-CCDC134, shCCDC134 and CCDC134 lentiviruses. They were divided into the control group, negative control group, CCDC134 downregulation (shCCDC134) group and CCDC134 overexpression (CCDC134) group. Surface markers of hDPSCs (Stro-1, CD105, CD34, CD45) were detected by flow cytometry; colony formation was analyzed by toluidine blue staining; ALP expression was estimated by ALP staining; mineralized nodule formation was evaluated by alizarin red staining; lipid droplet formation was examined by oil red staining; and gene and protein expression of CCDC134, Runt-related transcription factor 2 (RUNX2), osteocalcin (OCN), bone morphogenetic protein-2 (BMP-2), and mothers against decapentaplegic homolog 1 (SMAD1) was detected by qPCR and western blot, respectively. Further, a BMP-2 activator (BMP-2) and inhibitor (Dorsomorphin) were used to down-regulate and up-regulate CCDC134, respectively (shCCDC134, shCCDC134+BMP-2, CCDC134, CCDC134+Dorsomorphin), in hDPSCs. The hDPSC aggregates were subcutaneously transplanted into nude mice for 2 months, and new bone formation was detected by H&E staining. The BMP-2/SMAD1 signaling in each group was detected by qPCR. Results: hDPSCs showed high expression of mesenchymal markers and low expression of hematopoietic markers. Compared with the control group, the expression of CCDC134 was increased in the osteogenic-induced hDPSCs (P < 0.05). Compared with the negative control group, the expression of CCDC134 was decreased in the shCCDC134 group, whereas it was increased in the CCDC134 group (P < 0.05). The mineralized nodules, osteogenic genes and proteins in the shCCDC134 group were decreased (P < 0.05), while they were increased in the CCDC134 group (P < 0.05). The expression of BMP-2/SMAD1 signaling decreased in the shCCDC134 group, while it increased in the CCDC134 group (P < 0.05). Compared to the shCCDC134 group, osteogenic genes and proteins increased in the shCCDC134+BMP-2 group, and subcutaneous new bone formation increased in nude mice (P < 0.05). The indexes of the CCDC134+Dorsomorphin group decreased compared with the CCDC134 group (P < 0.05). Conclusion CCDC134 promotes the osteogenic differentiation of hDPSCs by regulating the BMP-2/SMAD1 signaling pathway.