High serum concentration of selenium, but not calcium, cobalt, copper, iron, and magnesium, increased the risk of both hyperglycemia and dyslipidemia in adults: A health examination center based cross-sectional study
Metabolic disorders of glucose and lipid were associated with some mineral elements, and data were warranted from various contexts to make the association more explicit. To investigate the relationships between the serum concentrations of six mineral elements (calcium, cobalt, copper, iron, magnesiu...
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Published in | Journal of trace elements in medicine and biology Vol. 59; p. 126470 |
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Abstract | Metabolic disorders of glucose and lipid were associated with some mineral elements, and data were warranted from various contexts to make the association more explicit.
To investigate the relationships between the serum concentrations of six mineral elements (calcium, cobalt, copper, iron, magnesium, and selenium) and the risk of hyperglycemia and dyslipidemia in adults.
The basic information and the over-night fasting serum samples of adults were randomly collected at a health examination center. The serum concentrations of glucose and lipids were measured with an automatic biochemical analyzer, and the mineral elements were measured with an inductively coupled plasma mass spectrometer. Data were analyzed between the hyperglycemia group (HGg) and the normal glucose group (NGg) as well as between the dyslipidemia group (DLg) and the normal lipid group (NLg).
A total of 1466 adults aged 22–81 years (male/female = 1.8) were included, 110 in the HGg and 1356 in the NGg, or 873 in the DLg and 593 in the NLg. The serum element concentration medians [P50 (P25–P75)] significantly different between the HGg and the NGg were 0.83 (0.75–0.94) vs. 0.76 (0.68–0.87) mg/L for copper and 100 (90–110) vs. 94 (87–103) μg/L for selenium (P < 0.001), while those between the DLg and the NLg were 99 (92–110) vs. 97 (90–106) mg/L for calcium, 0.78 (0.69–0.88) vs. 0.75 (0.66–0.85) mg/L for copper, 1.7 (1.4–2.0) vs. 1.6 (1.3–2.0) mg/L for iron, 24 (22–28) vs. 23 (22–27) mg/L for magnesium, and 97 (89–106) vs. 92 (84–100) μg/L for selenium (P < 0.05). When the copper and selenium between the HGg and the NGg were analyzed by logistic regression with age, gender, body mass index, and mineral elements adjusted, only the highest quartile of selenium concentration had association with the increased risk of hyperglycemia [quartile (Q) 4 against Q1: OR = 2.9, 95 % CI = 1.5–5.5, P < 0.001). When the five differed mineral elements between the DLg and the NLg were similarly analyzed, only iron and selenium had associations with the increased risk of dyslipidemia (e.g., Q4 against Q1: OR = 1.4, 95 % CI = 1.1–2.0 for iron and OR = 2.9, 95 % CI = 2.1–4.0 for selenium, P < 0.05).
In contrast to those of calcium, cobalt, copper, iron, and magnesium, the higher serum concentration of selenium increased the risk of both hyperglycemia and dyslipidemia in the study population of adult Chinese. |
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AbstractList | Metabolic disorders of glucose and lipid were associated with some mineral elements, and data were warranted from various contexts to make the association more explicit.
To investigate the relationships between the serum concentrations of six mineral elements (calcium, cobalt, copper, iron, magnesium, and selenium) and the risk of hyperglycemia and dyslipidemia in adults.
The basic information and the over-night fasting serum samples of adults were randomly collected at a health examination center. The serum concentrations of glucose and lipids were measured with an automatic biochemical analyzer, and the mineral elements were measured with an inductively coupled plasma mass spectrometer. Data were analyzed between the hyperglycemia group (HGg) and the normal glucose group (NGg) as well as between the dyslipidemia group (DLg) and the normal lipid group (NLg).
A total of 1466 adults aged 22–81 years (male/female = 1.8) were included, 110 in the HGg and 1356 in the NGg, or 873 in the DLg and 593 in the NLg. The serum element concentration medians [P50 (P25–P75)] significantly different between the HGg and the NGg were 0.83 (0.75–0.94) vs. 0.76 (0.68–0.87) mg/L for copper and 100 (90–110) vs. 94 (87–103) μg/L for selenium (P < 0.001), while those between the DLg and the NLg were 99 (92–110) vs. 97 (90–106) mg/L for calcium, 0.78 (0.69–0.88) vs. 0.75 (0.66–0.85) mg/L for copper, 1.7 (1.4–2.0) vs. 1.6 (1.3–2.0) mg/L for iron, 24 (22–28) vs. 23 (22–27) mg/L for magnesium, and 97 (89–106) vs. 92 (84–100) μg/L for selenium (P < 0.05). When the copper and selenium between the HGg and the NGg were analyzed by logistic regression with age, gender, body mass index, and mineral elements adjusted, only the highest quartile of selenium concentration had association with the increased risk of hyperglycemia [quartile (Q) 4 against Q1: OR = 2.9, 95 % CI = 1.5–5.5, P < 0.001). When the five differed mineral elements between the DLg and the NLg were similarly analyzed, only iron and selenium had associations with the increased risk of dyslipidemia (e.g., Q4 against Q1: OR = 1.4, 95 % CI = 1.1–2.0 for iron and OR = 2.9, 95 % CI = 2.1–4.0 for selenium, P < 0.05).
In contrast to those of calcium, cobalt, copper, iron, and magnesium, the higher serum concentration of selenium increased the risk of both hyperglycemia and dyslipidemia in the study population of adult Chinese. BACKGROUNDMetabolic disorders of glucose and lipid were associated with some mineral elements, and data were warranted from various contexts to make the association more explicit. OBJECTIVETo investigate the relationships between the serum concentrations of six mineral elements (calcium, cobalt, copper, iron, magnesium, and selenium) and the risk of hyperglycemia and dyslipidemia in adults. METHODSThe basic information and the over-night fasting serum samples of adults were randomly collected at a health examination center. The serum concentrations of glucose and lipids were measured with an automatic biochemical analyzer, and the mineral elements were measured with an inductively coupled plasma mass spectrometer. Data were analyzed between the hyperglycemia group (HGg) and the normal glucose group (NGg) as well as between the dyslipidemia group (DLg) and the normal lipid group (NLg). RESULTSA total of 1466 adults aged 22-81 years (male/female = 1.8) were included, 110 in the HGg and 1356 in the NGg, or 873 in the DLg and 593 in the NLg. The serum element concentration medians [P50 (P25-P75)] significantly different between the HGg and the NGg were 0.83 (0.75-0.94) vs. 0.76 (0.68-0.87) mg/L for copper and 100 (90-110) vs. 94 (87-103) μg/L for selenium (P < 0.001), while those between the DLg and the NLg were 99 (92-110) vs. 97 (90-106) mg/L for calcium, 0.78 (0.69-0.88) vs. 0.75 (0.66-0.85) mg/L for copper, 1.7 (1.4-2.0) vs. 1.6 (1.3-2.0) mg/L for iron, 24 (22-28) vs. 23 (22-27) mg/L for magnesium, and 97 (89-106) vs. 92 (84-100) μg/L for selenium (P < 0.05). When the copper and selenium between the HGg and the NGg were analyzed by logistic regression with age, gender, body mass index, and mineral elements adjusted, only the highest quartile of selenium concentration had association with the increased risk of hyperglycemia [quartile (Q) 4 against Q1: OR = 2.9, 95 % CI = 1.5-5.5, P < 0.001). When the five differed mineral elements between the DLg and the NLg were similarly analyzed, only iron and selenium had associations with the increased risk of dyslipidemia (e.g., Q4 against Q1: OR = 1.4, 95 % CI = 1.1-2.0 for iron and OR = 2.9, 95 % CI = 2.1-4.0 for selenium, P < 0.05). CONCLUSIONIn contrast to those of calcium, cobalt, copper, iron, and magnesium, the higher serum concentration of selenium increased the risk of both hyperglycemia and dyslipidemia in the study population of adult Chinese. |
ArticleNumber | 126470 |
Author | Liang, Xiongshun Liu, Xiao-Li Zhang, Huimin Xu, Yuanfei Zhou, Ji-Chang Zhu, Yumei Huang, Changhua Liu, Aiping Gong, Chunmei Xu, Ping Nie, Wenjing Zhou, Xiaoying |
Author_xml | – sequence: 1 givenname: Aiping surname: Liu fullname: Liu, Aiping organization: School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China – sequence: 2 givenname: Ping surname: Xu fullname: Xu, Ping organization: School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China – sequence: 3 givenname: Chunmei surname: Gong fullname: Gong, Chunmei organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 4 givenname: Yumei surname: Zhu fullname: Zhu, Yumei organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 5 givenname: Huimin surname: Zhang fullname: Zhang, Huimin organization: Physicochemical Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China – sequence: 6 givenname: Wenjing surname: Nie fullname: Nie, Wenjing organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 7 givenname: Xiaoying surname: Zhou fullname: Zhou, Xiaoying organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 8 givenname: Xiongshun surname: Liang fullname: Liang, Xiongshun organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 9 givenname: Yuanfei surname: Xu fullname: Xu, Yuanfei organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 10 givenname: Changhua surname: Huang fullname: Huang, Changhua organization: Shenzhen Qilinshan Sanatorium, Shenzhen, 518055, China – sequence: 11 givenname: Xiao-Li surname: Liu fullname: Liu, Xiao-Li organization: Institute of Laboratory Medicine, Shenzhen Center for Chronic Disease Control, Shenzhen, 518020, China – sequence: 12 givenname: Ji-Chang surname: Zhou fullname: Zhou, Ji-Chang email: zhoujch8@mail.sysu.edu.cn organization: School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China |
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Keywords | RCT OR CI T2D Dyslipidemia NLg HGg SOD Lipids Mineral element Glucose LDLC GPX NGg TC HDLC Hyperglycemia TG Selenium HbA1c DLg BMI |
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SubjectTerms | Adult Asian Continental Ancestry Group Calcium - blood China - epidemiology Cobalt - blood Copper - blood Cross-Sectional Studies Dyslipidemia Dyslipidemias - blood Female Glucose Humans Hyperglycemia Hyperglycemia - blood Iron - blood Lipids Magnesium - blood Male Middle Aged Mineral element Risk Factors Selenium Selenium - blood |
Title | High serum concentration of selenium, but not calcium, cobalt, copper, iron, and magnesium, increased the risk of both hyperglycemia and dyslipidemia in adults: A health examination center based cross-sectional study |
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