Customized compact neutron activation analysis system to quantify manganese (Mn) in bone<i>in vivo</i>

Liu, Yingzi; Mostafaei, Farshad; Sowers, Daniel; Hsieh, M; Zheng, Wei; Nie, Linda H.

doi:10.1088/1361-6579/aa577b

Cited by 15 publications

(24 citation statements)

References 29 publications

(32 reference statements)

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“…One earlier study among welders shows that saliva Mn levels are higher in welders than in control subjects (Wang et al, 2008); but the larger variation in saliva than in serum renders the saliva assessment less applicable in real-life assessment. Mn levels in bone are the most promising approach for noninvasive assessment of body burden of Mn for cumulative exposure (Liu et al, 2013b, 2017). However, the detection system has not yet been made available for general populational research.…”

Section: Discussionmentioning

confidence: 99%

Reduced expression of PARK2 in manganese-exposed smelting workers

et al. 2017

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Manganese (Mn) is widely used in modern industries. Occupational exposure to Mn is known to cause clinical syndromes similar, but not identical to, Parkinson’s disease. This human cohort study was designed to investigate if workers exposed to Mn altered the PARK2 gene expression, leading to Mn-induced neurotoxicity. Workers (n = 26) occupationally exposed to Mn were recruited from a Mn-iron (Fe) alloy smelter, and control workers (n = 20) without Mn-exposure were from an Fe smelter from Zunyi City in China. Subjects were matched with socioeconomic status and background for environmental factors. Metal concentrations were determined by atomic absorption spectrophotometry (AAS). Total RNA from the blood samples was isolated and analyzed by RT-PCR to quantify PARK2. The data showed that Mn concentrations in plasma, red blood cell (RBC) and saliva, and the cumulative Mn-exposure were about 2.2, 2.0, 1.7 and 3.0 fold higher, respectively, in Mn-exposed workers than those in control subjects (p <0.01). The expression of PARK2 in Mn-exposed workers was significantly decreased by 42% as compared to controls (p <0.01). Linear regression analysis further established that the expression of PARK2 mRNA was inversely correlated with Mn levels in plasma, RBC and saliva, as well as the cumulative Mn exposure (p <0.01). Taken together, it seems likely that Mn exposure among smelters may lead to a reduced expression of PARK2, which may partly explain the Mn-induced Parkinsonian disorder.

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Section: Discussionmentioning

confidence: 99%

Reduced expression of PARK2 in manganese-exposed smelting workers

et al. 2017

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“…This also accounts for bone density, making this a comparable measure to BnMn presented in µg/g Ca. BnMn in µg/g multiplied by 3.94 is equivalent to BnMn in µg/g Ca [ 33 , 34 ]. The transportable IVNAA system has a DL of 0.64 µg Mn per g dry bone (ppm) [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

“…BnMn in µg/g multiplied by 3.94 is equivalent to BnMn in µg/g Ca [ 33 , 34 ]. The transportable IVNAA system has a DL of 0.64 µg Mn per g dry bone (ppm) [ 33 ]. There were 19 (31.7%) participants with BnMn < DL; 13 of the 19 (68.4%) were negative values.…”

Section: Methodsmentioning

confidence: 99%

“…Over the past eight years, our research team has developed a compact neutron generator-based transportable IVNAA system that can be used to assess Mn in hand bones [ 32 , 33 ]. Our team has previously reported on BnMn in a pilot study [ 34 ] and differences in BnMn and BMn by exposure group within a cross-sectional study of Chinese workers [ 35 ].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Cumulative Exposure Index (CEI) for Manganese and Comparison with Bone Manganese and Other Biomarkers of Manganese Exposure

Rolle-McFarland

Liu

Zhou

et al. 2018

IJERPH

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Manganese (Mn) exposure can result in parkinsonism. However, understanding of manganese neurotoxicity has been limited by the lack of a cumulative Mn biomarker. Therefore, the current goal was to develop Mn cumulative exposure indices (MnCEI), an established method to estimate cumulative exposure, and determine associations of MnCEI with blood Mn (BMn), fingernail Mn (FMn), and bone Mn (BnMn). We completed a cross-sectional study of 60 male Chinese workers. Self-reported occupational history was used to create two MnCEIs reflecting the previous 16 years (MnCEI16) and total work history (MnCEITOT). An in vivo neutron activation analysis system was used to quantify BnMn. BMn and FMn were measured using ICP-MS. Mean (standard deviation) MnCEITOT and MnCEI16 were 37.5 (22.0) and 25.0 (11.3), respectively. Median (interquartile range) BMn, FMn, and BnMn were 14.1 (4.0) μg/L, 13.5 (58.5) μg/g, and 2.6 (7.2) μg/g dry bone, respectively. MnCEI16 was significantly correlated with FMn (Spearman’s ρ = 0.44; p = 0.02), BnMn (ρ = 0.44; p < 0.01), and MnCEITOT (ρ = 0.44; p < 0.01). In adjusted regression models, MnCEI16 was significantly associated with BnMn (β = 0.03; 95% confidence interval = 0.001, 0.05); no other biomarkers were associated with MnCEI. This suggests BnMn may be a useful biomarker of the previous 16 years of Mn exposure, but larger studies are recommended.

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“…By measuring the 847 keV characteristic γ counts, the concentration of 55 Mn in the sample can be determined. We have developed and characterized a NAA system with an Mn detection limit of 0.64 µ g Mn per gram of bone (ppm) (Liu et al 2017). Another in vivo NAA (IVNAA) system has also been developed in other labs (Aslam et al 2009), which uses a large accelerator.…”

Section: Introductionmentioning

confidence: 99%