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Sang Ick Park 3 Articles
Aging-related Changes in Mouse Serum Glycerophospholipid Profiles
Seungwoo Kim, Hyo-Soon Cheon, Jae-Chun Song, Sang-Moon Yun, Sang Ick Park, Jae-Pil Jeon
Osong Public Health Res Perspect. 2014;5(6):345-350.   Published online December 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.10.002
  • 1,850 View
  • 17 Download
  • 20 Citations
AbstractAbstract PDF
Objectives
Metabolic dysfunction is a common hallmark of the aging process and aging-related pathogenesis. Blood metabolites have been used as biomarkers for many diseases, including cancers, complex chronic diseases, and neurodegenerative diseases.
Methods
In order to identify aging-related biomarkers from blood metabolites, we investigated the specific metabolite profiles of mouse sera from 4-month-old and 21-month-old mice by using a combined flow injection analysis–tandem mass spectrometry and liquid chromatography–tandem mass spectrometry.
Results
Among the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging. Specifically, lysophosphatidylcholine (LPC) acyl (a) C24:0 levels in aged mice were decreased compared to that in young mice, whereas phosphatidylcholine (PC) acyl-alkyl (ae) C38:4, PC ae C40:4, and PC ae C42:1 levels were increased. Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice. Additionally, the ratio of LPC a C24:0 to PC ae C38:4 was decreased in the aged mice, whereas the ratio of PC ae C40:4 to LPC a C24:0 was increased, supporting the aging-related metabolic changes of glycerophospholipids.
Conclusion
The ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.

Citations

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    Bowei Chen, Jian Yi, Yaqian Xu, Huiqiao Wen, Fengming Tian, Yingfei Liu, Lan Xiao, Lisong Li, Baiyan Liu
    Frontiers in Neuroscience.2022;[Epub]     CrossRef
  • Posterior subcapsular cataracts are a late effect after acute exposure to 0.5 Gy ionizing radiation in mice
    Sarah Kunze, Alexander Cecil, Cornelia Prehn, Gabriele Möller, Andreas Ohlmann, Gerhild Wildner, Stephan Thurau, Kristian Unger, Ute Rößler, Sabine M. Hölter, Soile Tapio, Florian Wagner, Andreas Beyerlein, Fabian Theis, Horst Zitzelsberger, Ulrike Kulka,
    International Journal of Radiation Biology.2021; 97(4): 529.     CrossRef
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    Shirui Chen, Hui Zhang, Mengting Liu, Yaochi Wang, Cong Xin, Jing Ma, Xiaodong Zheng, Xuejun Zhang, Liangdan Sun, Sen Yang, Alexandros Georgakilas
    Oxidative Medicine and Cellular Longevity.2021; 2021: 1.     CrossRef
  • Phospholipases and Reactive Oxygen Species Derived Lipid Biomarkers in Healthy and Diseased Humans and Animals – A Focus on Lysophosphatidylcholine
    Kathrin M. Engel, Jürgen Schiller, Christina E. Galuska, Beate Fuchs
    Frontiers in Physiology.2021;[Epub]     CrossRef
  • Metabolomics Study of Isocaloric Different Dietary Patterns on the Life Span in Healthy Population
    Cong Zhang, Qingna Yan, Qiushuang Zhu, Jinxiao Liu, Yuanjie Dong, Yuqiao Li, Ruohua Wang, Xuanfeng Tang, Xinyi Lv, Xiaoqing Li, Yunjiang Cai, Yucun Niu
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    Jadranka Miletić Vukajlović, Dunja Drakulić, Snežana Pejić, Tihomir V. Ilić, Aleksandra Stefanović, Marijana Petković, Jürgen Schiller
    Rapid Communications in Mass Spectrometry.2020;[Epub]     CrossRef
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    Anastasia Tzimou, Dimitra Benaki, Stefanos Nikolaidis, Emmanuel Mikros, Ioannis Taitzoglou, Vassilis Mougios
    Biogerontology.2020; 21(5): 577.     CrossRef
  • Ginsenoside Rb1 retards aging process by regulating cell cycle, apoptotic pathway and metabolism of aging mice
    Shujie Yu, Hui Xia, Yanlei Guo, Xiaoxian Qian, Xiaojuan Zou, Huabing Yang, Mingzhu Yin, Hongtao Liu
    Journal of Ethnopharmacology.2020; 255: 112746.     CrossRef
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    Kang Uk Kim, Kyeong Jin Yoon, Suhong Park, Jong Cheol Lee, Hyo Youl Moon, Myeong Hee Moon
    Analytical and Bioanalytical Chemistry.2020; 412(28): 8003.     CrossRef
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    Patrick Pann, Martin Hrabě de Angelis, Cornelia Prehn, Jerzy Adamski
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    Anastasia Tzimou, Stefanos Nikolaidis, Olga Begou, Aikaterina Siopi, Olga Deda, Ioannis Taitzoglou, Georgios Theodoridis, Vassilis Mougios
    Metabolites.2020; 10(12): 481.     CrossRef
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    JONG-GYU KIM, JOONG-SOON KIM, JEONG - GYOO KIM
    Current Research in Nutrition and Food Science Jou.2019; 7(1): 85.     CrossRef
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    Sun-A Ock, Inchul Choi, Gi-Sun Im, Jae Gyu Yoo
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    Hai-Hong Li, Jian-Liang Pan, Su Hui, Xiao-Wei Ma, Zhi-Long Wang, Hui-Xin Yao, Jun-Feng Wang, Hong Li
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  • A Metabolomics Profiling of Glaucoma Points to Mitochondrial Dysfunction, Senescence, and Polyamines Deficiency
    Stéphanie Leruez, Alexandre Marill, Thomas Bresson, Grégoire de Saint Martin, Adrien Buisset, Jeanne Muller, Lydie Tessier, Cédric Gadras, Christophe Verny, Philippe Gohier, Patrizia Amati-Bonneau, Guy Lenaers, Dominique Bonneau, Gilles Simard, Dan Milea,
    Investigative Opthalmology & Visual Science.2018; 59(11): 4355.     CrossRef
  • Lactobacillus acidophilus DDS-1 Modulates the Gut Microbiota and Improves Metabolic Profiles in Aging Mice
    Ravichandra Vemuri, Tanvi Shinde, Rohit Gundamaraju, Shakuntla Gondalia, Avinash Karpe, David Beale, Christopher Martoni, Rajaraman Eri
    Nutrients.2018; 10(9): 1255.     CrossRef
  • Role of kinase-coupled TRP channels in mineral homeostasis
    Vladimir Chubanov, Lorenz Mittermeier, Thomas Gudermann
    Pharmacology & Therapeutics.2018; 184: 159.     CrossRef
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    Ryan O. Walters, Esperanza Arias, Antonio Diaz, Emmanuel S. Burgos, Fangxia Guan, Simoni Tiano, Kai Mao, Cara L. Green, Yungping Qiu, Hardik Shah, Donghai Wang, Adam D. Hudgins, Tahmineh Tabrizian, Valeria Tosti, David Shechter, Luigi Fontana, Irwin J. Ku
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  • Mild TBI Results in a Long-Term Decrease in Circulating Phospholipids in a Mouse Model of Injury
    Tanja Emmerich, Laila Abdullah, Joseph Ojo, Benoit Mouzon, Thinh Nguyen, Gary S. Laco, Gogce Crynen, James E. Evans, Jon Reed, Michael Mullan, Fiona Crawford
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Associations Between Estimated Desaturase Activity and Insulin Resistance in Korean Boys
Young Sim Choi, Han Byul Jang, Ju Yeon Park, Hye-Ja Lee, Jae-Heon Kang, Kyung-Hee Park, Jong Ho Lee, Sang Ick Park, Jihyun Song
Osong Public Health Res Perspect. 2014;5(5):251-257.   Published online October 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.08.008
  • 2,001 View
  • 15 Download
  • 8 Citations
AbstractAbstract PDF
Objectives
Obesity in childhood increases the risk of obesity in adulthood, and is predictive of the development of metabolic disorders. The fatty acid compositions of various tissues, including blood, are associated with obesity and obesity-associated disorders. Thus, tracking plasma phospholipid (PL) features and metabolic parameters in young individuals may strengthen the utility of fatty acid composition as an early biomarker of future metabolic disorders.
Methods
Anthropometric and blood biochemical data were obtained from 131 Korean males aged 10.5 ± 0.4 years, and followed up at 2 years. We analyzed the plasma PL fatty acids according to obesity. Obese children were defined as those with a body mass index (BMI) greater than the 85th percentile for age and gender, based on Korean child growth standards.
Results
Activities of lipid desaturases, stearyl-CoAD (SCD-16,16:1n-7/16:0), delta-6D (D6D, 20:3n-6/18:2n-6), and delta-5D (D5D, 20:4n-6/20:3n-6), were estimated. Obese individuals had significantly higher proportions of palmitoleic acid (16:1n-7) and dihomo-gamma linolenic acid (DGLA, 20:3n-6) at both baseline and follow-up than did lean individuals. The activities of SCD-16 and D6D were higher in obese than lean boys. The baseline SCD-16 activity level was positively associated with the baseline waist circumference (WC) and the metabolic risk score. The baseline D6D level was positively associated with WC and also with the homeostasis model of assessment of insulin resistance (HOMA-IR), a surrogate marker of insulin resistance (IR), and metabolic risk score at both baseline and follow-up.
Conclusion
In young Korean males, higher D6D activity predicts the future development of IR and associated metabolic disorders including dyslipidemia.

Citations

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  • Palmitoleic and Dihomo-γ-Linolenic Acids Are Positively Associated With Abdominal Obesity and Increased Metabolic Risk in Children
    Man-Chin Hua, Hui-Min Su, Ming-Wei Lai, Tsung-Chieh Yao, Ming-Han Tsai, Sui-Ling Liao, Shen-Hao Lai, Jing-Long Huang
    Frontiers in Pediatrics.2021;[Epub]     CrossRef
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Relationship between Serum Levels of Body Iron Parameters and Insulin Resistance and Metabolic Syndrome in Korean Children
Hye-Ja Lee, Han Byul Jang, Ji Eun Park, Kyung-Hee Park, Jae Heon Kang, Sang Ick Park, Jihyun Song
Osong Public Health Res Perspect. 2014;5(4):204-210.   Published online August 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.06.005
  • 1,926 View
  • 22 Download
  • 10 Citations
AbstractAbstract PDF
Objectives
An increase in serum ferritin and levels of the cleaved soluble form of transferrin receptor (sTfR) are related to several metabolic conditions. We evaluated the relationship between body iron status indicators, including ferritin and sTfR, and insulin resistance and metabolic syndrome (MetS) in Korean children.
Methods
A cross-sectional study was conducted on 1350 children in Korea. Anthropometrical parameters; lipid profiles; levels of glucose, insulin, and leptin; and iron status indicators, including sTfR, serum ferritin, serum iron, total iron-binding capacity (TIBC), and transferrin saturation (TS), were analyzed.
Results
Although serum sTfR levels were significantly higher in boys than in girls (2.20 vs. 2.06 mg/L, p < 0.0001), serum iron and TS were higher in girls than in boys (101.38 vs. 95.77 mg/L, p = 0.027 and 30.15 vs. 28.91%, p = 0.04, respectively). Waist circumference (WC) and leptin were most significantly associated with body iron indicators when adjusted for age and sex. After adjusting for age, sex, and WC, sTfR levels showed the strongest positive association with leptin levels (p = 0.0001). Children in the highest tertile for homeostasis model assessment-insulin resistance (HOMA-IR) had higher TIBC (p = 0.0005) and lower serum iron (p = 0.0341), and the lowest TS (p < 0.0001) after adjustment for confounders. Children with higher sTfR were most significantly associated with risk of MetS compared with those lower sTfR (p = 0.0077).
Conclusion
The associations of serum levels of iron metabolism markers with leptin levels, HOMA-IR, and MetS suggest that iron-related factors may involve insulin resistance and MetS.

Citations

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PHRP : Osong Public Health and Research Perspectives