3 research outputs found
DJ-1μ λ°ν μ΅μ κ° μμ μ 1μΌλΆκΈ° μ΅λͺ¨μΈμ± μμλ§μΈν¬μ κΈ°λ₯μ λ―ΈμΉλ μν₯
Department of Medicine/λ°μ¬DJ-1 (PARK7)μ νν¨μ¨λ³μ μμΈ μ μ μ μ€ νλμ΄λ©°, μ’
μμ μ μ (oncogene)λ‘λ μλ €μ Έ μλ€. μ§κΈκΉμ§ νμ°ν ν¨κ³Ό λ± μ¬λ¬κ°μ§ μλ¬Όνμ κΈ°λ₯λ€μ΄ λ³΄κ³ λμλ€. νΉν ν΄νμ± μ κ²½κ³ μ§νμμ DJ-1μ κΈ°λ₯ μμ€μ μΈν¬μ¬ (cell death)λ₯Ό μ λ°ν μ μμΌλ©°, μμ§νμ κ²½μ° μ΄ μ μ μμ κΈ°λ₯ νμ§μ΄ μμΈν¬μ μ‘°μ λμ§ μλ μμ‘΄μ μ λ°νκΈ°λ νλ€κ³ μλ €μ Έ μλ€. DJ-1μ μ¬λ¬ μ₯κΈ°μ κ±Έμ³ λ°νλλ©°, νλ°μ μμλ§μΈν¬μμλ λ°νλλ€. λν, μμ μ 1μΌλΆκΈ°μ μμλ§μΈν¬μμ μμ νκΈ°μ λΉν΄ κ·Έ λ°νμ΄ μ¦κ°νλ κ²μΌλ‘ μλ €μ Έ μλ€. μμλ§μΈν¬μ μ΄λ, μΉ¨μ΅ λ° μ μ΄ λ± κ·Έ μλ¬Όνμ κΈ°λ₯μ΄ μμΈν¬μ μ μ¬ν¨μλ λΆκ΅¬νκ³ μμλ§μΈν¬μμ DJ-1μ μλ¬Όνμ κΈ°λ₯μ λν΄μλ μλ €μ§ λ°κ° μλ€. λ°λΌμ, μ΄ μ°κ΅¬λ μμ μ 1μΌλΆκΈ° μ΅λͺ¨μΈ (extravillous) μμλ§μΈν¬μ£ΌμΈ HTR-8/SV neoμμ DJ-1μ λ°ν μ‘°μ μ΄ μΈν¬ κΈ°λ₯μ λ―ΈμΉλ μν₯κ³Ό κ·Έ κΈ°μ μ λν΄ μμλ³΄κ³ μ νμλ€. siRNA (small interfering RNA)λ‘ μ λλ DJ-1 μ λ°ν μ΅μ κ° μΈν¬μλ©Έμ¬ (apoptosis), μΈν¬ μ΄λ λ° μ΄λ¬ν κΈ°λ₯λ€μ μ‘°μ νλ κΈ°μ μ λ―ΈμΉλ μν₯μ νκ°νμλ€. μ΄ μ°κ΅¬μμ DJ-1μ λ°ν μ΅μ κ° λκΈ° νκ²½κ³Ό μ°νμ€νΈλ μ€ μ‘°κ±΄μμ μΈν¬μλ©Έμ¬λ₯Ό μ¦κ°μν€κ³ , κΈ°μ§κΈμλ¨λ°±λΆν΄ν¨μλ₯Ό μ΅μ νμ¬ μΈν¬μ΄λμ΄ κ°μνμμΌλ©° μ΄λ¬ν μΈν¬ κΈ°λ₯μ λ³νκ° Akt-S6K1 κ²½λ‘λ₯Ό ν΅ν΄ μΌμ΄λ¨μ νμΈνμλ€. κ²°λ‘ μ μΌλ‘ DJ-1μ μ°νμ€νΈλ μ€ νκ²½μμ μμλ§μΈν¬μ κΈ°λ₯μ 보쑴νλ λ° μ€μν μν μ νλ κ²μΌλ‘ μκ°λλ©°, ν₯ν DJ-1μ λ°ν μ΄μμ΄ μ°κ³Όμ ν©λ³μ¦μ λ―ΈμΉλ μν₯μ λν΄μλ μΆκ°μ μΈ μ°κ΅¬κ° νμν κ²μ΄λ€.openλ°
μ 1ν μΈν¬κ°λΆμ°©λΆμ(intercellular adhesion molecule-1)μ K469E μ μ μ λ€νμ±κ³Ό μ μκ°μ¦
Dept. of Medicine/μμ¬[νκΈ]λͺ©μ : νκ΄ λ΄νΌμ κΈ°λ₯ λΆμ μ μ μκ°μ¦μ μ€μν λ°λ³κΈ°μ μ΄λ©° μ΄λ¬ν νκ΄ λ΄νΌ κΈ°λ₯ λΆμ μ΄ λ°μμν€λ μμΈ μ€ μμ μ‘°μ§μ λν λͺ¨μ²΄μ κ³Όλν μΌμ¦ λ°μμ΄ μ°κ΄λμ΄ μλ€κ³ μλ €μ Έ μλ€. μ 1ν μΈν¬κ°λΆμ°©λΆμλ λ°±νꡬ λ±μ μΌμ¦ κ΄λ ¨ μΈν¬κ° νκ΄ λ΄νΌλ‘ μ΄λ λ° λΆμ°©νλλ° κ΄μ¬νλ€. μμ μμλ νκ΄ λ΄νΌλΏλ§ μλλΌ μμλ§μΈν¬ λ±μ κ³Όλ°ννμ¬ λͺ¨μ²΄μ λ©΄μνμ μΈμ§μ κ±°λΆ λ°μμ μΌμΌμΌ μμλ§ μΈν¬κ° μκΆλ΄ λμ λλ§₯ (spiral artery)λ‘ μΉ¨μ΅ν΄ λ€μ΄κ°λ κ²μ μ ννλ©° μ΄λ¬ν κ³Όμ ν΅ν΄ μ μκ°μ¦μ μ λ°ν μ μλ€. μ 1ν λΆμ°©λΆμμ μ μ μ λ€νμ±μ μ¬λ¬κ°μ§ μΌμ¦ κ΄λ ¨ μ§νκ³Ό μκ° λ©΄μ μ§νμ λ°μ μνκ³Ό μ°κ΄μ±μ΄ μλ€κ³ λ³΄κ³ λκ³ μλ€. λ°λΌμ λ³Έ μ°κ΅¬μμλ μ 1ν μΈν¬κ°λΆμ°©λΆμμ μ μ μ λ€νμ±μ΄ νκ΅μΈμ μ μκ°μ¦ λ°μκ³Ό μ°κ΄μ±μ΄ μλμ§ μμλ³΄κ³ μ νμλ€.
μ°κ΅¬λμ λ° λ°©λ²: 42λͺ
μ μ μκ°μ¦ μ°λͺ¨κ³Ό 138λͺ
μ μ μ νμμ΄λ©° 2ν μ΄μ μ μ λ§μ λΆλ§μ ν μ°λͺ¨λ₯Ό κ°κ° λμκ΅°κ³Ό λμ‘°κ΅°μΌλ‘ νμκ³ , μ μ μ λ€νμ±μ μ§μ μΌκΈ°μμ΄λΆμλ°©λ²μ μ΄μ©νμλ€. λμκ΅° λ° λμ‘°κ΅°μ μ μ μνκ³Ό λ립μ μ μμ λ°μ λΉλμ μ°¨μ΄κ° μλμ§ λΆμνμλ€.
κ²°κ³Ό: μ 1ν μΈν¬κ°λΆμ°©λΆμμ K469E μ μ μνμ νκ΅μΈ μ μκ°μ¦κ΅°κ³Ό λμ‘°κ΅° κ°μ ν΅κ³νμ μ μν λΆν¬μ μ°¨μ΄κ° μμλ€. λν κ° λ립μ μ μμ λ°μ λΉλ μμ λ κ΅°κ° μ μν μ°¨μ΄λ₯Ό 보μ΄μ§ μμλ€. (KK/KE/EE (%) λμ‘°κ΅° 45.7/44.2/10.1, μ μκ°μ¦κ΅° 59.5/23.8/16.7, p>0.05), (K allele (%) λμ‘°κ΅° 67.8 , μ μκ°μ¦κ΅° 71.4, p= 0.62) μ΄λ¬ν κ²½ν₯μ μ€μ¦ μ μκ°μ¦ μ°λͺ¨λ₯Ό λμκ΅°μΌλ‘ νμμ κ²½μ°μλ λ§μ°¬κ°μ§μλ€. (KK/KE/EE (%) λμ‘°κ΅° 45.7/44.2/10.1, μ€μ¦ μ μκ°μ¦κ΅° 59.3/29.6/11.1, p=0.36), (K allele (%) λμ‘°κ΅° 67.8, μ€μ¦ μ μκ°μ¦κ΅° 74.1, p= 0.45)
κ²°λ‘ : νκ΅μΈ μ μκ°μ¦κ΅°μμ μ 1ν μΈν¬κ°λΆμ°©λΆμμ K λ립μ μ μ λ° KK μ μ μνμ λ°μ λΉλκ° λμ‘°κ΅°μ λΉν΄ λμμΌλ ν΅κ³νμ μΌλ‘ μ μν μ°κ΄μ±μ μμλ€.
[μλ¬Έ]Objective: Endothelial dysfunction is considered to be central in the pathogenesis of preeclampsia. An excessive maternal systemic inflammatory response to pregnancy has been proposed to be responsible for endothelial dysfunction. The ICAM-1 molecule is functionally involved in the regulation of adhesion of leukocytes to the endothelium as well as leukocyte migration, in other words, that expression could stimulate maternal immunological recognition and rejection reactions, and result in disrupted trophoblast trafficking and thereby cause incomplete placentation leading to preeclampsia. In this case-control study, we will examine whether the distribution of genotypic and allelic frequencies of ICAM-1 K469 of Korean women with preeclampsia are different from those of control group.
Materials and Methods: The ICAM-1 K469E polymorphism was genotyped using sequencing analysis in 42 women with preeclampsia and 138 normotensive controls who had delivered at least two normal term babies. Genomic DNA was extracted from whole blood sample. After gene amplification by PCR and purification, direct sequencing reaction method was used to detect a single nucleotide polymorphism.
Results: The distribution of genotype frequencies and the frequency of the K469 allele of the preeclampsia group were not significantly different from those of the controls. (KK/KE/EE (%) control 45.7/44.2/10.1 vs preeclampsia 59.5/23.8/16.7, p>0.05), (K allele (%) control 67.8 vs preeclampsia 71.4, p= 0.62) A similar trend was observed between the severe preeclampsia patients and the controls. (KK/KE/EE (%) control 45.7/44.2/10.1 vs severe preeclampsia 59.3/29.6/11.1, p=0.36), (K allele (%) control 67.8 vs severe preeclampsia 74.1, p= 0.45)
Conclusions: The frequencies of the KK genotype and the K allele were higher in the preeclampsia group than those in the control group. However, there was no statistically significant difference.ope
Uterine artery Doppler velocimetry and maternal weight gain by the mid-second trimester for prediction of fetal growth restriction
OBJECTIVE: To investigate whether assessment of maternal weight gain up to mid-second trimester improves the predictive value of uterine artery Doppler velocimetry (UAD) for the prediction of fetal growth restriction (FGR).
SETTING: Department of Obstetrics and Gynecology, Yonsei University College of Medicine.
DESIGN: Prospective Doppler measurements coupled to retrospective chart review.
POPULATION: A total of 10,970 women delivering at the institution.
OUTCOME MEASURES: Maternal weight gain up to mid-second trimester and Doppler ultrasonography on bilateral uterine arteries between 20 and 24 weeks' gestation. Low weight gain was defined as <0.2 kg/week and FGR as birthweight of <10th percentile.
RESULTS: ith that combined with the measurement of maternal weight gain for the prediction of the FGR. The odd ratios for FGR were 2.56 (95% CI 1.59-4.12) in the group with normal UAD and abnormal weight gain (normal-abnormal group), 1.91 (95% CI 0.98-3.7) in the abnormal-normal group and 40.3 (95% CI 16.9-96.4) in the abnormal-abnormal group. UAD independent of weight gain had a sensitivity of 31.5%, a specificity of 88%, a positive predictive value (PPV) of 24.5% and a negative predictive value (NPV) of 91.2%. When mid-trimester maternal weight gain was accounted for, the sensitivity of UAD was 64.9%, specificity 64.1%, PPV 73.3% and NPV 93.6%.
CONCLUSION: The diagnostic performance of UAD for FGR improved significantly when the degree of maternal weight gain until the mid-second trimester was taken into account. Closer antenatal surveillance might be required in women with abnormal uterine Doppler velocimetry if their mid-second trimester weight gain is poor.ope