| Literature DB >> 24466170 |
Xin Yang1, YiXiao Bao2, HuanHuan Fu1, LuanLuan Li1, TianHong Ren1, XiaoDan Yu1.
Abstract
Manganese (Mn) exposure can affect brain development. Whether Selenium (Se) can protect neonates against neurotoxicity from Mn exposure remains unclear. We investigated this issue in 933 mother-newborn pairs in Shanghai, China, from 2008 through 2009. Umbilical cord serum concentrations of Mn and Se were measured and Neonatal Behavioral Neurological Assessment (NBNA) tests were conducted. The scores <37 were defined as the low NBNA. The median concentrations of cord serum Mn and Se were 4.0 µg/L and 63.1 µg/L, respectively. After adjusting for potential confounders, the interaction between Se and Mn was observed. Cord blood Mn levels had different effects on NBNA scores stratified by different cord blood Se levels. With Se<P50 (<63.1 µg/L), Mn was negatively associated with NBNA scores (adjusted ß = -1.1, 95% CI: -1.3 to -0.9, p<0.001) and a higher cord blood Mn level increased the risk of low NBNA (adjusted OR = 5.7, 95% CI: 2.8 to 11.5, p<0.001). However, the adverse effect of Mn was reduced with Se ≥ P50 (≥ 63.1 µg/L) (NBNA: adjusted ß = 0.1, 95% CI: -0.3 to 0.5, p = 0.746; Low NBNA: adjusted OR = 4.5, 95% CI: 0.4 to 46.7, p = 0.205). Furthermore, the high Mn exposure group with a low Se level [Mn ≥ P75 (9.1 µg/L) and Se<P50 (63.1 µg/L)] had much lower NBNA scores than that of high Mn exposure group with a high Se level [Mn ≥ P75 (9.1 µg/L) and Se ≥ P50 (63.1 µg/L)] (38.0 ± 1.6 & 39.5 ± 0.9, p<0.001). Mn/Se ratio and NBNA scores were moderately correlated (r = -0.41, p<0.001). Our findings suggest that Se has a protective effect on neonates' brain development against neurotoxicity from prenatal exposure to Mn. Se supplementation should be considered during pregnancy, especially in areas with low natural Se.Entities:
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Year: 2014 PMID: 24466170 PMCID: PMC3899298 DOI: 10.1371/journal.pone.0086611
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Factors associated with NBNA score.
| NBNA Score | Low NBNA | ||||
| ß (95%CI) | p-value | OR(95%CI) | p-value | ||
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| <P25(Mn<2.7 µg/L) | 0 | 1.0 | |||
| P25-50(Mn: 2.7–4.0 µg/L) | 0.1 (−0.1, 0.3) | 0.482 | 1.0 (0.3, 4.1) | 0.985 | |
| P50-75(Mn: 4.1−9.0 µg/L) | 0.0 (−0.2, 0.2) | 0.961 | 1.7 (0.5, 5.9) | 0.396 | |
| ≥P75(Mn≥9.1 µg/L) | −1.2 (−1.4, −1.0) | <0.001 | 8.0 (2.8, 23.0) | <0.001 | |
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| <P25(LgSe<1.7 µg/L) | 0 | 1.0 | |||
| P25-50(LgSe: 1.7–1.8 µg/L) | 0.9 (0.7, 1.1) | <0.001 | 0.23 (0.14, 0.38) | <0.001 | |
| P50-75(LgSe: 1.8–1.9 µg/L) | 1.2 (1.0, 1.4) | <0.001 | 0.10 (0.05, 0.20) | <0.001 | |
| ≥P75(LgSe≥1.9 µg/L) | 1.1 (0.9, 1.4) | <0.001 | 0.10 (0.05, 0.22) | <0.001 | |
|
| 0.0 (−0.1, 0.0) | 0.002 | 1.0 (1.0, 1.1) | 0.457 | |
|
| 0.0 (0.0, 0.0) | 0.265 | 1.0 (1.0, 1.0) | 0.852 | |
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| 0.0(0.0, −0.0) | 0.192 | 1.0 (1.0,1.0) | 0.970 | |
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| Male | 0 | 1.0 | |||
| Female | −0.1 (−0.3, 0.1) | 0.295 | 1.1 (0.6, 2.1) | 0.687 | |
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| <2000 | 0 | 1.0 | |||
| 2000–5000 | −0.1 (−0.3, 0.1) | 0.407 | 1.0 (0.5, 2.1) | 0.927 | |
| >5000 | −0.5 (−0.7, −0.2) | <0.001 | 1.9 (0.9, 4.0) | 0.100 | |
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| Middle school or lower | 0 | 1.0 | |||
| High scool | −0.1 (−0.4, 0.1) | 0.295 | 1.6 (0.7, 3.9) | 0.313 | |
| Bachelor degree | −0.2 (−0.3, 0.0) | 0.103 | 1.4 (0.6, 2.9) | 0.446 | |
| Higher than Bachelor degree | −0.7 (−1.1, −0.3) | 0.001 | 4.9 (1.7, 14.0) | 0.003 | |
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| Middle school or lower | 0 | 1.0 | |||
| High scool | 0.1 (−0.2, 0.3) | 0.579 | 0.9 (0.3, 2.6) | 0.805 | |
| Bachelor degree | −0.3 (−0.5, −0.1) | 0.006 | 1.7 (0.8, 3.8) | 0.175 | |
| Higher than Bachelor degree | −0.5 (−0.9, −0.2) | 0.004 | 4.6 (1.6, 13.0) | 0.004 | |
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| White collar | 0 | 1.0 | |||
| Technician | 0.0 (−0.3, 0.3) | 0.912 | 1.2 (0.4, 3.8) | 0.793 | |
| Blue collar | −0.2 (−0.4, 0.1) | 0.133 | 1.7 (0.6, 4.5) | 0.313 | |
| Housewife | −0.6 (−1.3, 0.2) | 0.175 | 3.3 (0.3, 31.0) | 0.302 | |
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| White collar | 0 | 1.0 | |||
| Technician | 0.3 (0.0, 0.6) | 0.032 | 0.7 (0.2, 2.3) | 0.522 | |
| Blue collar | 0.1 (−0.1, 0.3) | 0.467 | 1.0 (0.5, 2.2) | 0.999 | |
| Unemployed | −0.2 (−0.6, 0.2) | 0.265 | 1.3 (0.4, 4.6) | 0.700 | |
low NBNA: NBNA Score<37.
Unadjusted stratified analysis of the effect of prenatal Mn on NBNA by different Se level.
| NBNA Score | Low NBNA | |||||
| LgSe | N | ß (95%CI) | p-value | OR(95%CI) | p-value | |
| LgMn(ug/L) | <P25 | 263 | −1.0(−1.3, −0.6) | <0.001 | 3.9 (2.2, 7.0) | <0.001 |
| P25–50 | 249 | −0.8(−1.0, −0.5) | <0.001 | 8.9 (3.9, 20.5) | <0.001 | |
| P50–75 | 231 | −0.2(−0.6, 0.2) | 0.449 | 1.1 (0.7, 2.5) | 0.402 | |
| ≥P75 | 190 | 0.2(−0.3, 0.7) | 0.474 | 0.4 (0.03,5.0) | 0.483 | |
low NBNA: NBNA Score<37.
Adjusted stratified analysis of the effect of prenatal Mn on NBNA by different Se level.
| NBNA Score | Low NBNA | ||||
| ß (95%CI) | p-value | OR (95%CI) | p-value | ||
| Lg Mn (ug/L) | LgSe≤P50 | −1.1(−1.3, −0.9) | <0.001 | 5.7 (2.8, 11.5) | <0.001 |
| LgSe>P50 | 0.1(−0.3, 0.5) | 0.746 | 4.5 (0.4, 46.7) | 0.205 | |
Adjust for: maternal age, maternal education, paternal education, paternal education, maternal occupation, paternal occupation, family incomes, gestational age, birth weight and gender.
Se protects neonates against neurotoxicity from high Mn exposure.
| LgMn≥P75 | LgMn<P75 | |||
| LgSe<P50 | LgSe≥P50 | LgSe<P50 | LgSe≥P50 | |
| N | 206 | 39 | 310 | 378 |
| NBNAScore | 38.0±1.6 | 39.5±0.9 | 39.3±1.0 | 39.5±0.9 |
| P value | <0.001 | >0.05 | ||
| LgMn≥P50 | LgMn<P50 | |||
| LgSe<P50 | LgSe≥P50 | LgSe<P50 | LgSe≥P50 | |
| N | 285 | 171 | 227 | 250 |
| NBNAScore | 38.3±1.6 | 39.5±0.9 | 39.4±0.9 | 39.5±0.8 |
| P value | <0.001 | >0.05 | ||
Adjust for: maternal age, maternal education, paternal education, paternal education, maternal occupation, paternal occupation, family incomes, gestational age, birth weight and gender.
Figure 1Se protects neonates against neurotoxicity from high Mn exposure.
High Mn exposure population with low Se level (Mn≥9.1 µg/L and Se<63.1 µg/L) had much lower NBNA score (38.0±1.6 & 39.5±0.9) than that of high Mn exposure population with high Se level (Mn≥9.1 µg/L and Se≥63.1 µg/L) (P<0.001). Adjust for: maternal age, maternal education, paternal education, paternal education, maternal occupation, paternal occupation, family incomes, gestational age, birth weight and gender.
Figure 2The relationship between Mn/Se ratio and NBNA score.
Adjust for: maternal age, maternal education, paternal education, paternal education, maternal occupation, paternal occupation, family incomes, gestational age, birth weight and gender.