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Articles by F. Wang
Total Records ( 6 ) for F. Wang
  J Zhang , J. Y. F Chang , Y Huang , X Lin , Y Luo , R. J Schwartz , J. F Martin and F. Wang
  Rationale:

Heart valves develop from precursor structures called cardiac cushions, an endothelial-lined cardiac jelly that resides in the inner side of the heart tube. The cushions are then invaded by cells from different sources, undergo a series of complicated and poorly understood remodeling processes, and give rise to valves. Disruption of the fibroblast growth factor (FGF) signaling axis impairs morphogenesis of the outflow tract (OFT). Yet, whether FGF signaling regulates OFT valve formation is unknown.

Objective:

To study how OFT valve formation is regulated and how aberrant cell signaling causes valve defects.

Methods and Results:

By using mouse genetic manipulation, cell lineage tracing, ex vivo heart culture, and molecular biology approaches, we demonstrated that FGF signaling in the OFT myocardium upregulated Bmp4 expression, which then enhanced smooth muscle differentiation of neural crest cells (NCCs) in the cushion. FGF signaling also promoted OFT myocardial cell invasion to the cushion. Disrupting FGF signaling interrupted cushion remodeling with reduced NCCs differentiation into smooth muscle and less cardiomyocyte invasion and resulted in malformed OFT valves.

Conclusions:

The results demonstrate a novel mechanism by which the FGF-BMP signaling axis regulates formation of OFT valve primordia by controlling smooth muscle differentiation of cushion NCCs.

  Q. Wan , F. Wang , Q. Guan , Y. Liu , C. Wang , L. Feng , L. Feng , L. Gao and J. Zhao
  Aims Lipotoxicity has recently been shown to be an important risk factor underlying the pathogenesis of pre-diabetes. However, clinical evidence supporting the treatment of pre-diabetes by improving lipotoxicity is lacking. Here, we conducted an open-label, randomized, controlled trial to investigate whether fenofibrate, the widely used hypolipidaemic agent, might benefit pre-diabetes, with metfomin and diet control, the recommended intervention methods, as positive controls. Methods Newly diagnosed pre-diabetes patients (n = 120) with hypertriglyceridaemia (plasma triglyceride levels between 1.8 and 4.5 mmol/l) were randomly assigned by computer-generated randomization sequence to either control group (no intervention), fenofibrate group (200 mg once a day), metformin group (500 mg three times a day) or diet-controlled group (diet recommendation). Plasma biochemistry examination was performed every 2 months. The primary endpoint was the outcome of the natural course of pre-diabetes, evaluated by oral glucose tolerance test after 6-month follow-up. Results Twenty subjects in the fenofibrate group, 24 subjects in the metformin group and 25 subjects in both the diet-controlled group and the control group finished the trial. Fenofibrate, metformin and diet control had protective effects on hypertriglyceridaemic pre-diabetes, evidenced by 53.3, 70 and 30% participants regressed to normoglycaemia, respectively. The effects of fenofibrate and metformin were comparable (P > 0.05), while diet control was less effective (P < 0.05). Liver damage occurred in six subjects in the fenofibrate group and gastrointestinal symptoms occurred in four subjects in the metformin group. No serious adverse events occurred. Conclusion Controlling lipotoxicity by fenofibrate could effectively ameliorate the natural course of hypertriglyceridaemic pre-diabetes.
  Z. Guo , Z. Xu , F. Wang and B. Huang
  Call drop out is one of the most annoying problems in mobile communications. Over the years, many strategies have been proposed to solve the problem of call drop out, but it is still prevalent. One of the important reasons for call drop outs is high Bit Error Rate (BER). In this study, our intent is to reduce the call drop out by decreasing the BER based on Empirical Mode Decomposition (EMD). Thereafter, we introduce a new signal processing subsystem at the receiver section to decrease BER and thereby improve the end-to-end performance of the system. Our simulation is valid specifically for Code Division Multiple Access (CDMA) with QPSK modulation, although it can be extended to any cellular network. Our simulation proves that the new signal processing subsystem improves the BER performance.
  Z.X. Cao , Z.H. Shi , Y. Zhang , Z. Chao , L.M. Wei , Q.W. Liu , X. Zhang , B.G. Ye , X.L. Zheng , F. Wang and Z.M. Lin
  Porcine Circovirus type 2 (PCV2) is one of the most important swine pathogens of economic importance. To understand the genetic diversity of Porcine Circovirus type 2 (PCV2) in South China, 49 PCV2 sequences from South China were compared to 58 other references sequences. Researchers found that the nucleotide similarity among all South China isolates ranged from 93.7-100%. Most of them were classified into PCV2b-1A/1B cluster but the rest mapped to clusters PCV2b-1C, PCV2a-2E or PCV2a-2F. The data contribute to the understanding of molecular variation of PCV2 in South China.
  B.P. Wang , D. Zhang , Y.Y. Liu , F. Wang , S.Y. Wang , L.D. Han , C.Y. Liu , C.X. Liu , J.P. Liu , J. Pan , W.B. Zhang , Tuo Ya , Zhaori Getu , Daolema , C.H. Huang , J.L. Han , Suya , L.G. Zhang , H.M. Zhou and L. Zhang
  The current study investigated the ovarian response to gonadotropin for establishing a suitable protocol of superovulation in Bactrian camel. Fifteen female camels were randomly divided into 4 groups to compare 4 different superovulation protocols during the natural breeding season. Each camel in 4 groups was injected with FSH at 80, 80, 60, 60, 60, 60, 40 and 40 mg, respectively total dosage of 480 mg, for consecutive 4 days at 12 h intervals. The camels in group 2-4 were naturally mated and subsequently injected 300 IU LH 48 h after the last injection of FSH, the camels in group 1 received the same procedure exception of LH injection. Ovarian follicles and corpora luteas were observed through synchronistic laparotomy 7-9 days after natural mating. The results indicated that there is no significant difference in average ovulation rate (p>0.05) among group 1-3 nor among group 2-4. However, there is considerable difference between group 1 and 4 in average ovulation rate (p<0.05), among which the value is highest (81.38±6.44%) for group 4 but lowest (16.89±7.98%) for group 1. Furthermore, the average number of follicles has yet no obvious difference (p>0.05) among group 1-3 nor among group 2-4 but significant difference (p<0.05) between group 1 and 4. Comparatively the animals in group 1 yielded highest average number of follicles (9.80±1.50). Conclusively, the protocol 4 had a best superovulatory effect with an average corpora lutea 9.33±1.45 and therefore it can be used for superovulation in camels.
  Z. L Hu , C Huang , H Fu , Y Jin , W. N Wu , Q. J Xiong , N Xie , L. H Long , J. G Chen and F. Wang
 

Acid-sensing ion channels (ASICs) extensively exist in both central and peripheral neuronal systems and contribute to many physiological and pathological processes. The protein that interacts with C kinase 1 (PICK1) was cloned as one of the proteins interacting with protein kinase C (PKC) and colocalized with ASIC1 and ASIC2. Here, we used PICK1 knockout (PICK1-KO) C57/BL6 mice together with the whole cell patch clamp, calcium imaging, RT-PCR, Western blot, and immunocytochemistry techniques to explore the possible change in ASICs and the regulatory effects of PKC on ASICs. The results showed that PICK1 played a key role in regulation of ASIC functions. In PICK1-KO mouse cortical neurons, both the amplitude of ASIC currents and elevation of [Ca2+]i mediated by acid were decreased, which were attributable to the decreased expression of ASIC1a and ASIC2a proteins in the plasma membrane. PKC, a partner protein of PICK1, regulated ASIC functions via PICK1. The agonist and antagonist of PKC only altered ASIC currents and acid-induced increase in [Ca2+]i in wild-type, but not in KO mice. In conclusion, our data provided the direct evidence from PICK1-KO mice that a novel target protein, PICK1, would regulate ASIC function and membrane expression in the brain. In addition, PICK1 played the bridge role between PKC and ASICs.

 
 
 
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