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조기현,비제이,Sushila Maharjan,장윤정,최윤재,조종수 한국조직공학과 재생의학회 2017 조직공학과 재생의학 Vol.14 No.3
Healing process in scarring inevitably produces a considerable amount of non-organized dense collagen-rich matrix called scar thus impairing the native structure of skin. Connective tissue growth factor (CTGF) overexpression within healing tissues is known to play an imperative role in collagen production stimulated by transforming growth factor-beta in cutaneous wound healing. Undoubtedly, the knockdown of CTGF expression through siRNA-mediated gene silencing could simply impede the scarring process. However, the less stability and low transfection of siRNAs themselves urge a safe carrier to protect and transfect them into cells at a high rate avoiding toxicities. Here, we developed a degradable poly(sorbitol-co- PEI) (PSPEI), prepared by polymerization of sorbitol diacrylate with low molecular weight polyethylenimine, which has high transfection efficiency but low cytotoxicity, and utilized it in siCTGF delivery to silence the expression of CTGF in an animal model of cutaneous wound healing. Unlike contracted scar in normal healing, there was no or less contraction in the healed skin of mice treated with siCTGF using PSPEI. Histologically, the healed tissues also had distinct papillary structures and dense irregular connective tissues that were lacking in the control scar tissues. This study exemplifies a successful treatment of cutaneous wound healing using a polymer system coupled with RNA interference. Hence, the approach holds a great promise for developing new treatments with novel targets in regenerative medicines.
Computational Science-based Research on Dark Matter at KISTI
조기현 한국우주과학회 2017 Journal of Astronomy and Space Sciences Vol.34 No.2
The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space. The cross-section of dark matter is much smaller than that of the existing Standard Model, and the range of the predicted mass is wide, from a few eV to several PeV. Therefore, massive amounts of astronomical, accelerator, and simulation data are required to study dark matter, and efficient processing of these data is vital. Computational science, which can combine experiments, theory, and simulation, is thus necessary for dark matter research. A computational science and deep learning-based dark matter research platform is suggested for enhanced coverage and sharing of data. Such an approach can efficiently add to our existing knowledge on the mystery of dark matter.
조기현,강수정 대한심장학회 2014 Korean Circulation Journal Vol.44 No.5
Background and Objectives: The prevalence of incomplete Kawasaki disease (iKD) is progressively increasing. We aimed to retrospectively investigate the predictors of intravenous immunoglobulin (IVIG) resistance in iKD patients and compare them with those of IVIG resistance in complete Kawasaki disease (cKD) patients. We also compared the prognosis of coronary artery lesions (CALs) between the IVIG non-responders and responders in both iKD and cKD groups. Subjects and Methods: A total of 234 cKD and 77 iKD patients were treated with IVIG between February 2009 and April 2012. Among these 311 patients, we reviewed the data of 77 iKD patients and 75 age-matched cKD patients. Results: Patients with iKD having an elevated neutrophil count {percentage of segmented neutrophils (SEG%) ≥79.0} were at risk of IVIG resistance, while patients with cKD having SEG% ≥79.25 and serum total bilirubin (TB) ≥0.56 mg/dL were at risk of IVIG resistance as shown by multivariable logistic regression analysis. Fractional changes of laboratory data before and after IVIG treatment showed that Creactive protein (CRP) and N-terminal B type natriuretic peptide (NT-proBNP) levels were significantly elevated in IVIG non-responders of the iKD group, whereas erythrocyte sedimentation rate was significantly elevated in IVIG non-responders of the cKD group. Among the patients who had CALs at 10 months after the start of illness, the z scores of coronary arteries were higher in IVIG non-responders of the iKD group, when compared with IVIG non-responders of the cKD group. Conclusion: Elevated SEG%, changes in CRP and NT-proBNP levels may help in early detection of IVIG resistance in patients of the iKD group, which may aid in predicting the prognosis of CALs in these patients. Further studies with a larger number of patients are warranted.