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      Report on the International Symposium on Suboptimal Health Status, Inner Mongolia


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          Most cited references6

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          Screening novel biomarkers for metabolic syndrome by profiling human plasma N-glycans in Chinese Han and Croatian populations.

          N-glycans play an essential role in biological process and are associated with age, gender, and body mass parameters in Caucasian populations, whereas no study has been reported in Chinese populations. To investigate the correlation between N-glycan structures and metabolic syndrome (MetS) components, we conducted a population-based study in 212 Chinese Han individuals. The replication study was performed on 520 unrelated individuals from a Croatian island Korčula. The most prominent observation was the consistent positive correlations between different forms of triantennary glycans and negative correlations between glycans containing core-fucose with MetS components including BMI, SBP, DBP, and fasting plasma glucose (FPG) simultaneously. Significant differences in a number of N-glycan traits were also detected between normal and abnormal groups of BMI, BP, and FPG, respectively. In the multivariate analysis, the level of monosialylated glycans (structure loadings = -0.776) was the most correlated with the MetS related risk factors, especially with SBP (structure loadings = 0.907). Results presented here are showing that variations in the composition of the N-glycome in human plasma could represent the alternations of human metabolism and could be potential biomarkers of MetS.
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            Association of suboptimal health status and cardiovascular risk factors in urban Chinese workers

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              Traditional Chinese medicine and new concepts of predictive, preventive and personalized medicine in diagnosis and treatment of suboptimal health


                Author and article information

                Family Medicine and Community Health
                Compuscript (Ireland )
                January 2016
                February 2016
                : 4
                : 1
                : 55-56
                [1] 1School of Public Health, Dalian Medical University, Dalian, Liaoning, China
                [2] 2Beijing Record Mega Data Technology Co, Ltd, Beijing, China
                [3] 3School of Medical Sciences, Edith Cowan University, Perth, Australia
                [4] 4Ruike-Donghua Translational Medicine Center, Yongchang, Yizhuang Economic and Technological Development Zone, Beijing, China
                [5] 5Beijing Municipal Key Laboratory of Clinical Epidemiology and School of Public Health, Capital Medical University, Beijing, China
                [6] 6Baotou Central Hospital, Baotou, Inner Mongolia, China
                [7] aContributed equally to this publication.
                Author notes
                CORRESPONDING AUTHORS: Jiang Hu, MD and Ruiping Zhao, MD, Baotou Central Hospital, No 61, Huancheng Road, Donghe District, Baotou, Inner Mongolia 014040, China, E-mail: hujiang1961@ 123456aliyun.com (J. Hu); ruipingzhao@ 123456163.com (R. Zhao)
                Copyright © 2016 Family Medicine and Community Health

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

                : 12 November 2015
                : 28 December 2015
                Meeting Report

                General medicine,Medicine,Geriatric medicine,Occupational & Environmental medicine,Internal medicine,Health & Social care


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