David A. Edmondson1, Ruoyun Ma1, Chien-Lin Yeh1, S. Elizabeth Zauber2, Sandy Snyder1, Eric Ward1, and Ulrike Dydak1
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, United States
Synopsis
While manganese (Mn) is known in the pre-clinical community as a T1
contrast agent, it is also notorious as a neurotoxin that can cause irreversible
parkinsonian symptoms at high enough exposure levels. In an occupational
setting, workers are exposed to Mn through processes such as welding, smelting,
and other metalwork. As the workload changes over time, so does the level of exposure.
Using MRI and MRS, effects of exposure such as elevated thalamic GABA levels
and brain Mn deposition can be detected and show evidence of reversibility. This may help identifying meaningful no-observed-adverse-effect
levels (NOAEL) as used in occupational settings.
Purpose
We have shown previously in cross-sectional studies that
increases of gamma-aminobutyric acid (GABA) in the thalamus were
not only associated with motor function scores, but also with Mn exposure over
the past 3 months as well as Mn concentration in the substantia nigra (SN), as
measured by the R1 relaxation rate in MRI1. Yet, it is unknown
whether exposure directly affects
these measurements. If exposure decreases, will these also drop? As part of a
longitudinal cohort study, MRI is being used to study whether changes occur
with variations in Mn exposure levels.Methods
Of our longitudinal cohort, 15 welders and 5 controls
have participated in both time points (2013 and 2015). The sub-section of subjects allows us to
analyze the dose-response and time-dependence of effects from low rates of
exposure to Mn. Individual exposure levels were calculated using an exposure
model developed in our group to assess respirable (<4µm) Mn exposure from
welding, both at and outside of work. The model uses personal air samples
acquired during a typical shift and the work history, weighted by modifying
factors from a detailed work history questionnaire to give a better estimate of
an individual’s cumulative exposure over the past 3 months before the imaging
session2. A
3T GE Signa MRI scanner (GE Healthcare) with an 8-channel head coil was used to
obtain 3D high resolution T1-weighted images (resolution: 1x1x1.7mm) and two
spoiled gradient echo images3 used to calculate
R1. GABA-edited spectra were obtained using MEGA-PRESS localization (TE=68ms,
TR=2000ms, 256 averages)4. A volume of
interest (VOI, 25x30x25mm) was centered on the right thalamus (Figure 1). Spectra were analyzed using
LCModel V6.3-1B5. GABA was corrected
for cerebrospinal fluid using 3D T1-weighted images. Statistics
were performed using the R environment. To assess relatedness between two
variables, Pearson’s product-moment correlation test was used, while to test
differences between two groups, Welch's two-sample t-tests were used.
Results
Manganese exposure dropped from an average
of 0.036 mg/m3*yr to
0.017 mg/m3*yr (p =
0.02) between 2013 and 2015.
We monitored and measured Mn exposure at different job sites to ensure our model
remains reliable. Of the 15 welders that have participated in Round 2, 3 have
had increased Mn exposure since Round 1, while the rest have seen their
exposure subside. The mean longitudinal relaxation rate (R1), indicative of
brain Mn accumulation, decreased from 2013 to 2015 in SN (p<0.0001) (Figure 2). The globus pallidus (GP)
& red nucleus (RN) also had negative trends, while R1 in the caudate
nucleus and frontal cortex held steady.
When controlling for age of the subjects, associations were found
between the change in Mn exposure and the change in R1 (R1) in regions of
the brain (Table 1), confirming that the amount of Mn exposure determines the
amount of Mn accumulation in particular regions of the brain. While R1 in the
GP and SN were positively correlated with Mn exposure, the RN was negatively
correlated with Mn exposure over longer time frames (past year).
GABA
levels represent a change in the overall inhibition capacity of the region. In
the thalamus, GABA levels of welders were distinguishable from controls (p =
0.08) in 2013, but are no longer distinguishable from controls in 2015 (p =
0.96) (Figure 3). The GABA (2015 minus 2013 levels) were significantly
different between welders and controls (p=0.02). GABA, though, is significantly correlated with Mn
exposure (r = 0.59, p = 0.02) (Figure 4).
Discussion & Conclusions
Our results show that Magnetic Resonance has great
promise in monitoring pre-symptomatic effects on the brain from low levels of
Mn exposure. Previously, we have shown that GABA was significantly higher in
highly exposed welders compared to controls6. Now, after some
welders have begun to perform work with less breathable Mn, their GABA levels
have subsided. Along with this, unsurprisingly, we find R1 values to also
follow the same trend by decreasing with lower Mn exposure. Coincidentally, we triggered a “Heisenberg
effect” after observing some of our subjects with MRI in the first session in
2013: many welders admitted to us that they decided to be safer and wear respiratory
protection after participating in the first study session, contributing to our
overall lower exposure levels in 2015. In conclusion, these results show that
Mn accumulation and its effects on brain GABA levels reverses over time and is
proportional to the amount of excess Mn being taken in through occupational
means.Acknowledgements
The study was supported by NIEHS grant R01
ES020529.References
1. Long Z, Li X-R, Xu J, et al. Thalamic
GABA Predicts Fine Motor Performance in Manganese-Exposed Smelter Workers.
Missirlis F, ed. PLoS One. 2014;9(2):e88220.
doi:10.1371/journal.pone.0088220.
2. Hobson A, Seixas N, Sterling D, Racette
BA. Estimation of particulate mass and manganese exposure levels among welders.
Ann Occup Hyg. 2011;55(1):113-125. doi:10.1093/annhyg/meq069.
3. Deoni SCL. High-resolution T1 mapping
of the brain at 3T with driven equilibrium single pulse observation of T1 with
high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI). J Magn
Reson Imaging. 2007;26(4):1106-1111. doi:10.1002/jmri.21130.
4. Zhu H, Edden R a E, Ouwerkerk R, Barker
PB. High resolution spectroscopic imaging of GABA at 3 Tesla. Magn Reson Med.
2011;65(3):603-609. doi:10.1002/mrm.22671.
5. Provencher SW. Estimation of metabolite
concentrations from localized in vivo proton NMR spectra. Magn Reson Med.
1993;30(6):672-679. doi:10.1002/mrm.1910300604.
6. Dydak U, Jiang Y, Long L, et al. In
vivo measurement of brain GABA concentrations by magnetic resonance
spectroscopy in smelters occupationally exposed to manganese. Environ Health
Perspect. 2011;119(2):219-224.