Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients.

Recent clinical research describes a subset of glioblastoma patients that exhibit REP prior to the start of radiation therapy. Current literature has thus far described this population using clinicopathologic features. To our knowledge, this study is the first to investigate the potential of conventional radiomics, sophisticated multi-resolution fractal texture features, and different molecular features (MGMT, IDH mutations) as a diagnostic and prognostic tool for prediction of REP from non-REP cases using computational and statistical modeling methods. The radiation-planning T1 post-contrast (T1C) MRI sequences of 70 patients are analyzed. An ensemble method with 5-fold cross-validation over 1000 iterations offers an AUC of 0.793 ± 0.082 for REP versus non-REP classification. In addition, copula-based modeling under dependent censoring (where a subset of the patients may not be followed up with until death) identifies significant features (p-value < 0.05) for survival probability and prognostic grouping of patient cases. The prediction of survival for the patients' cohort produces a precision of 0.881 ± 0.056. The prognostic index (PI) calculated using the fused features shows that 84.62% of REP cases fall under the bad prognostic group, suggesting the potential of fused features for predicting a higher percentage of REP cases. The experimental results further show that multi-resolution fractal texture features perform better than conventional radiomics features for prediction of REP and survival outcomes.

Modeling the spread of COVID-19 in spatio-temporal context.

This study aims to use data provided by the Virginia Department of Public Health to illustrate the changes in trends of the total cases in COVID-19 since they were first recorded in the state. Each of the 93 counties in the state has its COVID-19 dashboard to help inform decision makers and the public of spatial and temporal counts of total cases. Our analysis shows the differences in the relative spread between the counties and compares the evolution in time using Bayesian conditional autoregressive framework. The models are built under the Markov Chain Monte Carlo method and Moran spatial correlations. In addition, Moran's time series modeling techniques were applied to understand the incidence rates. The findings discussed may serve as a template for other studies of similar nature.

Application of wastewater-based surveillance and copula time-series model for COVID-19 forecasts.

The objective of this study was to develop a novel copula-based time series (CTS) model to forecast COVID-19 cases and trends based on wastewater SARS-CoV-2 viral load and clinical variables. Wastewater samples were collected from wastewater pumping stations in five sewersheds in the City of Chesapeake VA. Wastewater SARS-CoV-2 viral load was measured using reverse transcription droplet digital PCR (RT-ddPCR). The clinical dataset included daily COVID-19 reported cases, hospitalization cases, and death cases. The CTS model development included two steps: an autoregressive moving average (ARMA) model for time series analysis (step I), and an integration of ARMA and a copula function for marginal regression analysis (step II). Poisson and negative binomial marginal probability densities for copula functions were used to determine the forecasting capacity of the CTS model for COVID-19 forecasts in the same geographical area. The dynamic trends predicted by the CTS model were well suited to the trend of the reported cases as the forecasted cases from the CTS model fell within the 99 % confidence interval of the reported cases. Wastewater SARS CoV-2 viral load served as a reliable predictor for forecasting COVID-19 cases. The CTS model provided robust modeling to predict COVID-19 cases.

Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework.

Missing values in tabular data restrict the use and performance of machine learning, requiring the imputation of missing values. The most popular imputation algorithm is arguably multiple imputations using chains of equations (MICE), which estimates missing values from linear conditioning on observed values. This paper proposes methods to improve both the imputation accuracy of MICE and the classification accuracy of imputed data by replacing MICE's linear regressors with ensemble learning and deep neural networks (DNN). The imputation accuracy is further improved by characterizing individual samples with cluster labels (CISCL) obtained from the training data. Our extensive analyses involving six tabular data sets, up to 80% missing values, and three missing types (missing completely at random, missing at random, missing not at random) reveal that ensemble or deep learning within MICE is superior to the baseline MICE (b-MICE), both of which are consistently outperformed by CISCL. Results show that CISCL + b-MICE outperforms b-MICE for all percentages and types of missingness. Our proposed DNN-based MICE and gradient boosting MICE plus CISCL (GB-MICE-CISCL) outperform seven state-of-the-art imputation algorithms in most experimental cases. The classification accuracy of GB-MICE imputed data is further improved by our proposed GB-MICE-CISCL imputation method across all missingness percentages. Results also reveal a shortcoming of the MICE framework at high missingness (>50%) and when the missing type is not random. This paper provides a generalized approach to identifying the best imputation model for a data set with a missingness percentage and type.

Physical Activity, Dietary Patterns, and Glycemic Management in Active Individuals with Type 1 Diabetes: An Online Survey.

Individuals with type 1 diabetes (T1D) are able to balance their blood glucose levels while engaging in a wide variety of physical activities and sports. However, insulin use forces them to contend with many daily training and performance challenges involved with fine-tuning medication dosing, physical activity levels, and dietary patterns to optimize their participation and performance. The aim of this study was to ascertain which variables related to the diabetes management of physically active individuals with T1D have the greatest impact on overall blood glucose levels (reported as A1C) in a real-world setting. A total of 220 individuals with T1D completed an online survey to self-report information about their glycemic management, physical activity patterns, carbohydrate and dietary intake, use of diabetes technologies, and other variables that impact diabetes management and health. In analyzing many variables affecting glycemic management, the primary significant finding was that A1C values in lower, recommended ranges (<7%) were significantly predicted by a very-low carbohydrate intake dietary pattern, whereas the use of continuous glucose monitoring (CGM) devices had the greatest predictive ability when A1C was above recommended (≥7%). Various aspects of physical activity participation (including type, weekly time, frequency, and intensity) were not significantly associated with A1C for participants in this survey. In conclusion, when individuals with T1D are already physically active, dietary changes and more frequent monitoring of glucose may be most capable of further enhancing glycemic management.

Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction.

RNA sequencing (RNAseq) is a recent technology that profiles gene expression by measuring the relative frequency of the RNAseq reads. RNAseq read counts data is increasingly used in oncologic care and while radiology features (radiomics) have also been gaining utility in radiology practice such as disease diagnosis, monitoring, and treatment planning. However, contemporary literature lacks appropriate RNA-radiomics (henceforth, radiogenomics ) joint modeling where RNAseq distribution is adaptive and also preserves the nature of RNAseq read counts data for glioma grading and prediction. The Negative Binomial (NB) distribution may be useful to model RNAseq read counts data that addresses potential shortcomings. In this study, we propose a novel radiogenomics-NB model for glioma grading and prediction. Our radiogenomics-NB model is developed based on differentially expressed RNAseq and selected radiomics/volumetric features which characterize tumor volume and sub-regions. The NB distribution is fitted to RNAseq counts data, and a log-linear regression model is assumed to link between the estimated NB mean and radiomics. Three radiogenomics-NB molecular mutation models (e.g., IDH mutation, 1p/19q codeletion, and ATRX mutation) are investigated. Additionally, we explore gender-specific effects on the radiogenomics-NB models. Finally, we compare the performance of the proposed three mutation prediction radiogenomics-NB models with different well-known methods in the literature: Negative Binomial Linear Discriminant Analysis (NBLDA), differentially expressed RNAseq with Random Forest (RF-genomics), radiomics and differentially expressed RNAseq with Random Forest (RF-radiogenomics), and Voom-based count transformation combined with the nearest shrinkage classifier (VoomNSC). Our analysis shows that the proposed radiogenomics-NB model significantly outperforms (ANOVA test, p < 0.05) for prediction of IDH and ATRX mutations and offers similar performance for prediction of 1p/19q codeletion, when compared to the competing models in the literature, respectively.

The nature of persistent interactions in two model ß-grasp proteins reveals the advantage of symmetry in stability.

Two proteins within the ß-grasp superfamily, the B1-domain of protein G and the small archaeal modifier protein 1, were investigated to elucidate the key determinants of structural stability at the level of individual interactions. These symmetrical proteins both contain two ß-hairpins which form a sheet flanked by a central α-helix. They were subjected to high temperature molecular dynamics simulations and the detailed behavior of each long-range interaction was characterized. The results revealed that in GB1 the most stable region was the C-terminal hairpin and in SAMP1 it was the opposite, the N-terminal hairpin. Experimental results for GB1 support this finding. In conclusion, it appears that the difference in the location and number of hydrophobic interactions dictate the differential stability which is accommodated due to structural symmetry of the ß-grasp fold. Thus, the hairpins are interchangeable and in nature this lends itself to adaptability and flexibility.

Copula-based Markov zero-inflated count time series models with application.

Count time series data with excess zeros are observed in several applied disciplines. When these zero-inflated counts are sequentially recorded, they might result in serial dependence. Ignoring the zero-inflation and the serial dependence might produce inaccurate results. In this paper, Markov zero-inflated count time series models based on a joint distribution on consecutive observations are proposed. The joint distribution function of the consecutive observations is constructed through copula functions. First- and second-order Markov chains are considered with the univariate margins of zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), or zero-inflated Conway-Maxwell-Poisson (ZICMP) distributions. Under the Markov models, bivariate copula functions such as the bivariate Gaussian, Frank, and Gumbel are chosen to construct a bivariate distribution of two consecutive observations. Moreover, the trivariate Gaussian and max-infinitely divisible copula functions are considered to build the joint distribution of three consecutive observations. Likelihood-based inference is performed and asymptotic properties are studied. To evaluate the estimation method and the asymptotic results, simulated examples are studied. The proposed class of models are applied to sandstorm counts example. The results suggest that the proposed models have some advantages over some of the models in the literature for modeling zero-inflated count time series data.

Radiation Safety Practices of Dental Hygienists in the United States.

Purpose: The As Low As Reasonably Achievable (ALARA) principle was developed to promote awareness and minimization of radiation exposure and is supported by radiation control and professional organizations. The purpose of this study was to determine licensed dental hygienists' current radiation safety practices.Methods: Data were collected with a 22 item, online survey administered to a convenience sample of 1,500 dental hygienists in the United States. Questions focused on respondents' use of the American Dental Association (ADA) radiographic examination selection guidelines, their individual dental practice policies, and hand-held portable x-ray device use and training. Cross tabulations were obtained using logistic regression and general linear models for significance at a 0.05 level.Results: A response rate of 38% (n = 566) was obtained. A majority of respondents had an associate's degree (62%), were over the age of 55 (41%), and had over 30 years of experience. Respondents with more years of experience were more likely to follow the ADA selection criteria for radiographic need (p=0.0340; SE=0.1093) and respondents with a bachelor's degree or higher were more likely to use techniques to reduce radiation exposure than those with an associate's degree (p=0.0080; SE=0.0169). Respondents who had recently taken dental radiation safety continuing education courses were significantly more likely to wear a clinician lead apron when using a hand-held x-ray device (p=0.0093; M=1.571; SD=1.222).Conclusion: Dental hygienists with more years of experience, a higher level of education, and recent CE course work were more likely to follow ADA radiographic examination selection guidelines and use appropriate techniques to reduce exposure to ionizing radiation.

A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response Data.

Autism spectrum disorder (ASD) is a neurodevelopmental disability with atypical traits in behavioral and physiological responses. These atypical traits in individuals with ASD may be too subtle and subjective to measure visually using tedious methods of scoring. Alternatively, the use of intrusive sensors in the measurement of psychophysical responses in individuals with ASD may likely cause inhibition and bias. This paper proposes a novel experimental protocol for non-intrusive sensing and analysis of facial expression, visual scanning, and eye-hand coordination to investigate behavioral markers for ASD. An institutional review board approved pilot study is conducted to collect the response data from two groups of subjects (ASD and control) while they engage in the tasks of visualization, recognition, and manipulation. For the first time in the ASD literature, the facial action coding system is used to classify spontaneous facial responses. Statistical analyses reveal significantly (p <0.01) higher prevalence of smile expression for the group with ASD with the eye-gaze significantly averted (p<0.05) from viewing the face in the visual stimuli. This uncontrolled manifestation of smile without proper visual engagement suggests impairment in reciprocal social communication, e.g., social smile. The group with ASD also reveals poor correlation in eye-gaze and hand movement data suggesting deficits in motor coordination while performing a dynamic manipulation task. The simultaneous sensing and analysis of multimodal response data may provide useful quantitative insights into ASD to facilitate early detection of symptoms for effective intervention planning.

Testing a Novel 3D Printed Radiographic Imaging Device for Use in Forensic Odontology.

There are specific challenges related to forensic dental radiology and difficulties in aligning X-ray equipment to teeth of interest. Researchers used 3D printing to create a new device, the combined holding and aiming device (CHAD), to address the positioning limitations of current dental X-ray devices. Participants (N = 24) used the CHAD, soft dental wax, and a modified external aiming device (MEAD) to determine device preference, radiographer's efficiency, and technique errors. Each participant exposed six X-rays per device for a total of 432 X-rays scored. A significant difference was found at the 0.05 level between the three devices (p = 0.0015), with the MEAD having the least amount of total errors and soft dental wax taking the least amount of time. Total errors were highest when participants used soft dental wax-both the MEAD and the CHAD performed best overall. Further research in forensic dental radiology and use of holding devices is needed.

The Use of Immersive Visualization for the Control of Dental Anxiety During Oral Debridement.

PURPOSE: The purpose of this study was to evaluate the effects of Immersive Visualization (IV) eyewear on anxious, adult patients during oral debridement. METHODS: Thirty adult volunteers (n=23 females; n=7 males) were enrolled in the study. Participants were required to be 18 years or older, exhibit at least moderate anxiety (score 9 or higher) on the Corah's Dental Anxiety Scale-Revised (DAS-R), and be generally healthy. Individuals were excluded from participation if they presented with severe dental calculus, periodontal disease, or dental caries, were taking psychotropic drugs, had a history of convulsive disorders, vertigo, or equilibrium disorders, or required antibiotic pre-medication. Subjects received a full mouth oral prophylaxis (supra- and subgingival scaling and selective polishing) by a single experienced dental hygienist. A split mouth design was utilized whereby each subject served as their own control. Subjects were randomly divided into 2 groups: Group A used IV eyewear during the first one-half of the appointment (right side of the mouth) and Group B used IV eyewear during the second one-half of the appointment (left side of the mouth). At screening, medical and dental histories were obtained, full mouth oral examinations were performed, and DAS-R was scored to determine eligibility. At baseline, the DAS-R was re-scored to validate anxiety levels. The Calmness Scale was scored pre- and post-IV treatment on a Likert scale ranging from 1 (very calm) to 7 (less calm). At the end of the study, subjects completed a Post IV Opinion survey. Data were entered into Microsoft Excel for Mac 2011 (Microsoft Corporation Version 14.3.5) and analyzed using SAS® 9.3 statistical software. RESULTS: Thirty subjects with a mean age of 29.9 years completed the study. Data analysis indicated no statistically significant difference between Group A and B with regard to mean DAS-R anxiety levels at baseline (3.15 and 2.40, respectively), with a p-value of 0.07. Data showed a significant difference when comparing the calmness mean scores within Group A pre- and post-IV treatments (4.66 and 2.93, respectively), with a p-value 0.01. Within Group B the data revealed a statistically significant difference between pre- and post-IV treatments (p<0.01, 4.33 and 2.13, respectively). Both treatment groups experienced a decrease in anxiety levels from pre to post IV treatments. Moreover, combined mean calmness scores of the 30 subjects (Group A and B) expressed in mean standard deviation showed there was a decrease from 4.50±1.31 in pre-IV treatment to 2.53±1.17 in post-IV treatment. Further investigation of the data showed that there was a significant correlation between calmness and gender; females reported higher levels of anxiety than men before and after IV treatment. CONCLUSION: Results from this study support the use of IV eyewear as an effective technique to reduce anxiety in adults during oral debridement. The use of the IV eyewear was well received by all subjects. The portable, affordable and easy-to-operate IV system makes this technique an appealing approach of reducing dental anxiety.

Performance of Dental Hygiene Students in Mass Fatality Training and Radiographic Imaging of Dental Remains.

PURPOSE: Mass fatality incidents can overwhelm local, state and national resources quickly. Dental hygienists are widely distributed and have the potential to increase response teams' capacity. However, appropriate training is required. The literature is void of addressing this type of training for dental hygienists and scant in dentistry. Hence, the purpose of this study was to assess one facet of such training: Whether the use of multimedia is likely to enhance educational outcomes related to mass fatality training. METHODS: A randomized, double-blind, pre- and post-test design was used to evaluate the effectiveness of comparable educational modules for 2 groups: a control group (n=19) that received low media training and a treatment group (n=20) that received multimedia training. Participants were second-year, baccalaureate dental hygiene students. Study instruments included a multiple-choice examination, a clinical competency-based radiology lab scored via a standardized rubric, and an assessment of interest in mass fatality education as a specialty. ANOVA was used to analyze results. RESULTS: Participants' pre- and post-test scores and clinical competency-based radiology lab scores increased following both educational approaches. Interest in mass fatality training also increased significantly for all participants (p=0.45). There was no significant difference in pre- and post-test multiple choice scores (p=0.6455), interest (p=0.9133) or overall competency-based radiology lab scores (p=0.997) between groups. CONCLUSION: Various educational technique may be effective for mass fatality training. However, mass fatality training that incorporates multimedia is an appropriate avenue for training instruction. Continued research about multimedia's role in this specialty area is encouraged.

Role of low exposure to metals as male reproductive toxicants.

The objective of the study was to examine the associations between environmentally relevant low metal concentrations and semen quality parameters in men. The concentrations of zinc (Zn), copper (Cu), cadmium (Cd), arsenic (As), selenium (Se), and lead (Pb) in the seminal plasma and urine were measured from 196 male human subjects in Taiwan. Urinary Cd concentrations were negatively associated with sperm viability (p = 0.006). Seminal plasma Cu concentrations of the normal group (≥ 15 × 10(6)/ml) were significantly lower than those of the abnormal group (p = 0.023). However, the linear regression analysis showed a weak association between Cu concentration and sperm concentration, along with other semen parameters. No significant relationship between other metals (As, Pb, Zn, and Se) and semen quality was observed.

Morphometric analysis of the effect of scapula stabilization on obstetric brachial plexus paralysis patients.

BACKGROUND: Scapular position and size deficiency is evident in obstetric brachial plexus paralysis (OBPP) patients due to the absence of balanced muscular forces acting on the scapula. Scapula stabilization (SS) procedures aim to restore a balanced musculature and anatomic position and to augment shoulder function and enhance developmental potential. METHODS: Retrospective chart review of 106 patients with OBPP between March 1979 and March 2007 was performed. Forty-one female and 27 male were included in the study. In 38 patients, the paralysis was global, 13 had Erb's paralysis with C7 root involvement; in 18 patients, the lesion was limited to C5 and C6. X-rays were evaluated, and scapula dimensions were manually measured at several stages. Shoulder abduction (SA) and external rotation (SER) outcomes were also recorded. RESULTS: Mean improvement was 85.68° in shoulder abduction and 36.74° in shoulder external rotation. SA and SER improvement was significantly better in those who underwent SS procedures compared to those who did not (mean improvement was increased by 9.15° and 8.54°, respectively). Improvement was noted in all scapular dimensions, in all groups, postoperatively. However, the mean improvement in scapular height, big width, small width, and oblique axis discrepancies was 4.92, 14.04, 12.66, and 13.89 %, respectively, higher in patients who underwent SS procedures compared to those who did not. CONCLUSION: Dimensional discrepancies and functional outcomes are improved by SS procedures. Maximal results are attained in patients who have undergone both primary and secondary shoulder reconstruction before age 2.

Morphometric analysis of the association of primary shoulder reconstruction procedures with scapular growth in obstetric brachial plexus paralysis patients.

BACKGROUND: Obstetric brachial plexus paralysis (OBPP) has been associated with shoulder deformities, scapular growth, and shoulder function impairment. The absence of balanced muscular forces acting on the scapula has been considered responsible for scapula dysplasia and impaired growth as compared with the normal side. Scapula growth impairment may also lead to shoulder and upper extremity dysfunction. This study aims at showing the association of primary nerve reconstruction with the restoration of scapular bone growth potential. METHODS: This is a retrospective review of 73 patients with OBPP who underwent primary shoulder reconstruction. Patients were categorized for assessment and analysis into group A, global paralysis; group B, Erb's palsy; and group C, Erb's palsy with C7 root involvement. Scapular posteroanterior and lateral X-rays were obtained in which four scapula dimensions were manually measured. The growth discrepancy depending on the applied treatment was investigated. RESULTS: The highest improvement was noted in scapular height in the Erb's palsy group who underwent simultaneous neurotization of the suprascapular and axillary nerves. The oblique axis was more improved in the Erb's palsy group while both big and small widths were more improved in the Erb's palsy with C7 root involvement group in patients who underwent concomitant neurotization of the suprascapular and the axillary nerves. Functional improvement correlated positively with growth improvement in all groups and scapular dimensions. CONCLUSION: Scapula growth and shoulder function improvement were higher in patients with Erb's palsy. Simultaneous axillary and suprascapular nerve neurotization provided the best outcome in both functional and growth restoration.

Biomonitoring of polycyclic aromatic hydrocarbons from coke oven emissions and reproductive toxicity in nonsmoking workers.

The objective of the cross-sectional study was to assess whether exposure to polycyclic aromatic hydrocarbons (PAHs) from coke oven emissions contributed to alteration of semen quality and sperm DNA integrity in nonsmoking workers. Nonsmoking coke oven workers from a steel plant in Taiwan served as the exposure groups (topside-oven workers for the high exposure group and side-oven workers for the low exposure group), and administrators and security personnel in the plant served as the control. An exposure assessment was conducted to determine both particulate and gaseous phase of PAH levels and urinary 1-hydroxypyrene (1-OHP) levels. Semen quality was analyzed according to WHO guidelines. DNA fragmentation and bulky DNA adducts were measured to assess sperm DNA integrity. There was no significant difference in sperm concentrations, vitality, and DNA fragmentation between the exposed group and the control. The high exposure group experienced significantly lower percentages of normal morphology as compared with the control (p=0.0001). Bulky DNA adducts were detected in the exposed group that were significant higher than the control (p=0.04). Exposure to PAHs from coke-oven emissions could contribute to increased levels of bulky DNA adducts in sperm.

Repeated measurements for assessment of urinary 2-naphthol levels in individuals exposed to polycyclic aromatic hydrocarbons.

A repeated measurement cohort study was conducted to determine whether 2-napthol can be a suitable biomarker for evaluating the magnitude of exposure to PAHs from coke oven emissions. Time-course patterns of urinary 2-naphthol levels in coke-oven workers were examined. Also, the correlation between urinary 2-naphthol levels and PAHs from personal breathing zone samples was analyzed while examining and adjusting possible confounding factors, such as smoking alcohol consumption, and age of human subjects. A total of 8 spot urine samples were collected from each high-exposure group (topside-oven workers, n = 17) and low-exposure group (side-oven workers, n = 25) during the whole working cycle, which consists of six consecutive working days followed by 2 days off. Personal breathing zone samples were collected to quantify PAH intake. A questionnaire was distributed and collected from each worker for assessment of demographic parameters. Our results confirmed that the topside-oven area contained significantly higher PAH levels than the side-oven area. Urinary 2-naphthol levels correlated with the levels of PAH species, including pyrene, benzo[k]fluoranthene, benezo[g,h,i]pyrene, naphthalene, phenanthrene, anthracene, indeno[1,2,3-cd]pyrene, benzo[k]fluoranthene, and total PAHs. During the working cycle, urinary 2-naphthol levels remained stable at around 46-97 ng/mg creatinine during the working days and dramatically increased during the off days. After stratification of data based on smoking status, smokers had significantly higher urinary 2-naphthol levels than non-smokers, and 2-naphthol levels positively correlated with smoking status. Coke-oven emissions are a source of exposure to naphthalene. Also, smoking is a significant source of exposure to naphthalene and served as a confounder factor. Due to its abundance, positive association with total PAHs and certain carcinogenic PAH compounds, and slower elimination kinetics, urinary 2-naphthol may have the potential to serve as a biomarker for PAH exposure, when smoking status is carefully adjusted.

Prices of unhealthy foods, Food Stamp Program participation, and body weight status among U.S. low-income women.

This paper examines the interactive effect between the price of unhealthy foods and Food Stamp Program participation on body weight status among low-income women in the United States. We merged the panel data of the National Longitudinal Survey of Youth 1979 cohort in 1985-2002 and the Cost of Living Index data compiled by the American Chamber of Commerce Researchers Association by using geographic identifiers. Using the merged data, we used panel econometric models to examine the impact of unhealthy food prices on the food stamp-eligible U.S. population. Our results indicate that higher prices for unhealthy food can partially offset the positive association between Food Stamp Program participation and bodyweight among low-income women.

Polycyclic aromatic hydrocarbon-induced oxidative stress and lipid peroxidation in relation to immunological alteration.

OBJECTIVES: We evaluated the association between exposure to polycyclic aromatic hydrocarbons (PAHs) and immunological measurements using blood samples from coke oven workers exposed to high and low PAH levels. METHODS: A population-based cross-sectional study was conducted from 2008-2009 with coke oven workers and steel-rolling workers as the exposed and control groups, respectively. Questionnaires on basic demographic information were administered. Personal breathing zone and urine samples were collected to quantify personal PAH intake and biological response doses. Immunological and cytokine parameters in serum were analysed. Urinary malondialdehyde (MDA) and 8-hydroxydeoxyguanosine (8-OHdG) were analysed to determine oxidative stress induced by PAHs in relation to altered humoural immunological status. RESULTS: Mean levels of serum immunoglobulin A (IgA) and TNF-α were significantly increased in coke oven workers compared to steel-rolling workers who had no or minimal PAH exposure (p=0.0033 and p<0.0001, respectively). There were no significant differences in mean levels of IL-4 and IL-10 between coke oven workers and steel-rolling workers. Moderate activation of lipid peroxidation and oxidative damage as determined by plasma MDA and 8-OHdG levels were detected simultaneously with significant alterations in IgA and IgE levels. Multiple regression analyses demonstrated that PAHs with high molecular weights >252 (dibenzo(a,h)anthracene, benzo(a)pyrene, benzo(a)anthracene and/or indeno(1,2,3-cd)pyrene) correlated with IgA and IgE levels. CONCLUSIONS: This study showed that coke oven workers with chronic exposure to PAHs may develop immunological alteration. Oxidative stress and lipid peroxidation induced by PAHs may partly explain the alteration in immunological parameters.