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Objective To explore the correlation and potential mechanism of plasma magnesium (Mg2+) concentration with blood lipids and uric acid. Methods The physical examination data of healthy population from September 2018 to May 2021 were collected from the Second Affiliated Hospital of Xi'an Jiaotong University, and divided into two groups according to the plasma Mg2+ concentration (low Mg2+ group, ≤1.65 mmol/L; high Mg2+ group, >1.65 mmol/L). The differences of blood lipids and uric acid were compared between the two groups. Spearman correlation analysis was performed to analyze the correlation of plasma Mg2+ concentration and the metabolism of blood lipids and uric acid. Subgroups were set up according to gender and age, and based on the Comparative Toxicogenomics Database (CTD) and other disease-related databases, genes related to Mg2+ and dyslipidemia were extracted and matched, protein interaction (PPI) network was constructed, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed. Results Uric acid [(288.88±80.44) mg/dl vs. (325.00±83.38) mg/dl, P<0.001], total cholesterol [TC, (4.27±0.85) mmol/L vs. (4.52±0.87) mmol/L, P<0.001],triglyceride [TG, (1.31±0.97) mmol/L vs. (1.70±1.33) mmol/L, P<0.001] and low-density lipoprotein cholesterol [LDL-C,(2.62±0.76) mmol/L vs. (2.85±0.75) mmol/L, P<0.001] were significantly increased in healthy population with higher Mg2+ concentration, while high-density lipoprotein cholesterol (HDL-C) decreased significantly [(1.33±0.34) mmol/L vs.(1.25±0.30) mmol/L, P<0.001]. Spearman correlation analysis showed that plasma Mg2+ was positively correlated with uric acid(r=0.237, P<0.001), TC (r=0.154, P<0.001), TG (r=0.254, P<0.001), LDL-C (r=0.170, P<0.001), while negatively correlated with HDL-C (r=–0.154, P<0.001). Analyzed results in male and female subgroups were basically consistent with the above results, and the differences mainly come from the age group of 20-40 years old and 40-60 years old. In addition, there were 12 matched genes between Mg2+ and dyslipidemia. GO and KEGG enrichment analysis indicated that Mg2+ may act on insulin, SREBF1, HMGCR, LCAT, CD36 and other liver lipid synthesis and metabolic targets, and thus affect adenosine monophosphate protein kinase (AMPK) signaling, insulin resistance, and atherosclerosis. Conclusion The raised plasma Mg2+ concentration is often correlated with dyslipidemia and hyperuricemia in healthy population. Magnesium may involve in liver lipid metabolism and insulin pathway, and play a role in dyslipidemia, insulin resistance and atherosclerosis.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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