Cigarette smoking is associated with amplified age-related volume loss in subcortical brain regions

BACKGROUND: Magnetic resonance imaging studies of cigarette smoking-related effects on human brain structure have primarily employed voxel-based morphometry, and the most consistently reported finding was smaller volumes or lower density in anterior frontal regions and the insula. Much less is known about the effects of smoking on subcortical regions. We compared smokers and non-smokers on regional subcortical volumes, and predicted that smokers demonstrate greater age-related volume loss across subcortical regions than non-smokers. METHODS: Non-smokers (n=43) and smokers (n=40), 22-70 years of age, completed a 4T MRI study. Bilateral total subcortical lobar white matter (WM) and subcortical nuclei volumes were quantitated via FreeSurfer. In smokers, associations between smoking severity measures and subcortical volumes were examined. RESULTS: Smokers demonstrated greater age-related volume loss than non-smokers in the bilateral subcortical lobar WM, thalamus, and cerebellar cortex, as well as in the corpus callosum and subdivisions. In smokers, higher pack-years were associated with smaller volumes of the bilateral amygdala, nucleus accumbens, total corpus callosum and subcortical WM. CONCLUSIONS: Results provide novel evidence that chronic smoking in adults is associated with accelerated age-related volume loss in subcortical WM and GM nuclei. Greater cigarette quantity/exposure was related to smaller volumes in regions that also showed greater age-related volume loss in smokers. Findings suggest smoking adversely affected the structural integrity of subcortical brain regions with increasing age and exposure. The greater age-related volume loss in smokers may have implications for cortical-subcortical structural and/or functional connectivity, and response to available smoking cessation interventions

Characteristics of Local Health Departments Associated with Their Implementation of Electronic Health Records and Other Informatics System

Background: Information technology and information systems (IT/IS) play a critical role in the daily operation of local health departments (LHDs). Assessing LHDs’ informatics capacities is important, especially within the context of broader, system-level health reform efforts. Research Objective: This study assesses a nationally representative sample of LHDs’ level of adoption of information systems, technology, and the factors associated with adoption/implementation. Specifically, five areas of public health informatics were examined: electronic health records (EHRs), health information exchange (HIE), immunization registry (IR), electronic disease reporting system (EDRS), and electronic lab reporting (ELR). Data Sets and Sources: Data from NACCHO’s 2013 National Profile of LHDs was used. Descriptive statistics and multinomial logistic regression were performed for the five implementation-oriented outcome variables of interest, with three levels of implementation. Independent variables included infrastructural capacity, financial capacity, and other characteristics theoretically associated with informatics capacity. Study Design: This study uses a cross-sectional survey research design. Principal Findings: Thirteen percent of LHDs had implemented HIEs. About 22 % had implemented EHRs, 47% ELR, 72.2% EDRS, and 82% had implemented Immunization Registry. Significant determinants of health informatics adoption included provision of greater number of clinical services, greater per capita public health expenditures, having health information system specialists on staff, having larger population size, having decentralized governance system, having one and more local boards of health, and having top executive with greater number of years in the job. Conclusions: The capacity of LHDs to use real-time, local data and information is critical. Many LHDs do not have this capacity. This may be due to lack of specialized staff, availability of data systems, or a host of other political or organizational constraints. This is especially the case for smaller jurisdictions. Cross-jurisdictional sharing or regionalization of some informatics and surveillance functions may be a reasonable approach to address these shortfalls. Implications for Public Health Practice and Policy: A combination of investment in public health informatics infrastructure, additional training of new informatics staff and existing epidemiologists, and better integration with healthcare systems is needed to augment LHD informatics capacity and ensure governmental public health can meet the information needs of the 21st century

Differences in White Matter Microstructure and Connectivity in Nontreatment‐Seeking Individuals with Alcohol Use Disorder

Background Diffusion‐weighted imaging (DWI) has been widely used to investigate the integrity of white matter (WM; indexed by fractional anisotropy [FA]) in alcohol dependence and cigarette smoking. These disorders are highly comorbid, yet cigarette use has often not been adequately controlled in neuroimaging studies of alcohol‐dependent populations. In addition, information on WM deficits in currently drinking, nontreatment‐seeking (NTS) individuals with alcohol dependence is limited. Therefore, the aim of this work was to investigate WM microstructural integrity in alcohol use disorder by comparing matched samples of cigarette smoking NTS and social drinkers (SD). Methods Thirty‐eight smoking NTS and 19 smoking SD subjects underwent DWI as well as structural magnetic resonance imaging. After an in‐house preprocessing of the DWI data, FA images were analyzed with tract‐based spatial statistics (TBSS). FA obtained from the TBSS skeleton was tested for correlation with recent alcohol consumption. Results Smoking NTS had lower FA relative to smoking SD, predominantly in the left hemisphere (p < 0.05, family‐wise error rate corrected across FA skeleton). Across the full sample, FA and number of drinks per week were negatively related (ρ = −0.348, p = 0.008). Qualitative analyses of the structural connections through compromised WM as identified by TBSS showed differential connectivity of gray matter in NTS compared to SD subjects of left frontal, temporal, and parietal regions. Conclusions NTS subjects had lower WM FA than SD, indicating compromised WM integrity in the NTS population. The inverse relationship of entire WM skeleton FA with self‐reported alcohol consumption supports previous evidence of a continuum of detrimental effects of alcohol consumption on WM. These results provide additional evidence that alcohol dependence is associated with reduced WM integrity in currently drinking NTS alcohol‐dependent individuals, after controlling for the key variable of cigarette smoking

Bundap Marram Durn Durn : engagement with Aboriginal women experiencing comorbid chronic physical and mental health conditions

Objective: To explore antecedents of health service engagement and experience among urban Aboriginal people with comorbid physical and mental health conditions. Methods: Focus groups and interviews were conducted with Aboriginal people who had comorbid health conditions and were accessing Aboriginal and/or mainstream services. Results: Nineteen participants, all women, were recruited. Participants’ personal histories and prior experience of health services affected effective service utilisation. Participants’ service experiences were characterised by long waiting times in the public health system and high healthcare staff turnover. Trusted professionals were able to act as brokers to other clinically and culturally competent practitioners. Conclusions: Many urban Aboriginal women attended health services with multiple comorbid conditions including chronic disease and mental health issues. Several barriers and enablers were identified concerning the capacity of services to engage and effectively manage Aboriginal patients’ conditions. Implications: Results indicate the need to explore strategies to improve health care utilisation by urban Aboriginal women

Development of a targeted forensic test for the identification of Eurasian beaver DNA

Eurasian beaver (Castor fiber) has recently been reintroduced in Scotland after more than 400 years of extinction and in 2019 received legal protection; deliberate killing or disturbing beavers without a license is therefore now an offense. We present a validated polymerase chain reaction (PCR)-based Eurasian beaver identification test for use in forensic casework where persecution of Eurasian beaver is suspected. Primers were designed to target a 271 base pair region of the mitochondrial cytochrome b (Cytb) gene in Eurasian beavers, and positive amplicons were confirmed by sequence analysis. Validation was carried out across two laboratories in Scotland, and included studies on sensitivity, specificity, reproducibility, and robustness. The developed test reliably detects Eurasian beaver DNA to the lower limit of 0.1 pg DNA input and differentiates Castor fiber from other species, including congeners. In conclusion, the developed test was successfully optimized and validated to identify Eurasian beaver DNA and will be a valuable tool in wildlife forensic laboratories in cases of suspected persecution of Eurasian beavers

Cognitive complaints in older adults at risk for Alzheimer's disease are associated with altered resting-state networks

INTRODUCTION: Pathophysiological changes that accompany early clinical symptoms in prodromal Alzheimer's disease (AD) may have a disruptive influence on brain networks. We investigated resting-state functional magnetic resonance imaging (rsfMRI), combined with brain connectomics, to assess changes in whole-brain functional connectivity (FC) in relation to neurocognitive variables. METHODS: Participants included 58 older adults who underwent rsfMRI. Individual FC matrices were computed based on a 278-region parcellation. FastICA decomposition was performed on a matrix combining all subjects' FC. Each FC pattern was then used as a response in a multilinear regression model including neurocognitive variables associated with AD (cognitive complaint index [CCI] scores from self and informant, an episodic memory score, and an executive function score). RESULTS: Three connectivity independent component analysis (connICA) components (RSN, VIS, and FP-DMN FC patterns) associated with neurocognitive variables were identified based on prespecified criteria. RSN-pattern, characterized by increased FC within all resting-state networks, was negatively associated with self CCI. VIS-pattern, characterized by an increase in visual resting-state network, was negatively associated with CCI self or informant scores. FP-DMN-pattern, characterized by an increased interaction of frontoparietal and default mode networks (DMN), was positively associated with verbal episodic memory. DISCUSSION: Specific patterns of FC were differently associated with neurocognitive variables thought to change early in the course of AD. An integrative connectomics approach relating cognition to changes in FC may help identify preclinical and early prodromal stages of AD and help elucidate the complex relationship between subjective and objective indices of cognitive decline and differences in brain functional organization

Resting state functional MRI in infants with prenatal opioid exposure-a pilot study

PURPOSE: Exposure to prenatal opioids may adversely impact the developing brain networks. The aim of this pilot study was to evaluate alterations in amygdalar functional connectivity in human infants with prenatal opioid exposure. METHODS: In this prospective IRB approved study, we performed resting state functional MRI (rs-fMRI) in 10 infants with prenatal opioid exposure and 12 infants without prenatal drug exposure at < 48 weeks corrected gestational age. Following standard preprocessing, we performed seed-based functional connectivity analysis with the right and left amygdala as the regions of interest after correcting for maternal depression and infant sex. We compared functional connectivity of the amygdala network between infants with and without prenatal opioid exposure. RESULTS: There were significant differences in connectivity of the amygdala seed regions to the several cortical regions including the medial prefrontal cortex in infants who had prenatal opioid exposure when compared with opioid naïve infants. CONCLUSION: This finding of increased amygdala functional connectivity in infants with in utero opioid exposure suggests a potential role of maternal opioid exposure on infants' altered amygdala function. This association with prenatal exposure needs to be replicated in future larger studies

2005- 2008 UNLV McNair Journal

Journal articles based on research conducted by undergraduate students in the McNair Scholars Program Table of Contents Biography of Dr. Ronald E. McNair Statements: Dr. Neal J. Smatresk, UNLV President Dr. Juanita P. Fain, Vice President of Student Affairs Dr. William W. Sullivan, Associate Vice President for Retention and Outreach Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach McNair Scholars Institute Staf

Characteristics of Local Health Departments Associated with Implementation of Electronic Health Records and Other Informatics Systems

Objective: Assessing local health departments’ (LHDs’) informatics capacities is important, especially within the context of broader, systems-level health reform. We assessed a nationally representative sample of LHDs’ adoption of information systems and the factors associated with adoption and implementation by examining electronic health records, health information exchange, immunization registry, electronic disease reporting system, and electronic laboratory reporting. Methods: We used data from the National Association of County and City Health Officials’ 2013 National Profile of LHDs. We performed descriptive statistics and multinomial logistic regression for the five implementation-oriented outcome variables of interest, with three levels of implementation (implemented, plan to implement, and no activity). Independent variables included infrastructural and financial capacity and other characteristics associated with informatics capacity. Results: Of 505 LHDs that responded to the survey, 69 (13.5%) had implemented health information exchanges, 122 (22.2%) had implemented electronic health records, 245 (47.5%) had implemented electronic laboratory reporting, 368 (73.0%) had implemented an electronic disease reporting system, and 416 (83.8%) had implemented an immunization registry. LHD characteristics associated with health informatics adoption included provision of greater number of clinical services, greater per capita public health expenditures, health information systems specialists on staff, larger population size, decentralized governance system, one or more local boards of health, metropolitan jurisdiction, and top executive with more years in the job. Conclusion: Many LHDs lack health informatics capacity, particularly in smaller, rural jurisdictions. Cross-jurisdictional sharing, investment in public health informatics infrastructure, and additional training may help address these shortfalls

Association of plasma and cortical beta-amyloid is modulated by APOE ε4 status.

Background: APOE ε4’s role as a modulator of the relationship between soluble plasma beta-amyloid (Aβ) and fibrillar brain Aβ measured by Pittsburgh Compound-B positron emission tomography ([11C]PiB PET) has not been assessed. Methods: Ninety-six Alzheimer’s Disease Neuroimaging Initiative participants with [11C]PiB scans and plasma Aβ1-40 and Aβ1-42 measurements at time of scan were included. Regional and voxel-wise analyses of [11C]PiB data were used to determine the influence of APOE ε4 on association of plasma Aβ1-40, Aβ1-42, and Aβ1-40/Aβ1-42 with [11C]PiB uptake. Results: In APOE ε4− but not ε4+ participants, positive relationships between plasma Aβ1-40/Aβ1-42 and [11C]PiB uptake were observed. Modeling the interaction of APOE and plasma Aβ1-40/Aβ1-42 improved the explained variance in [11C]PiB binding compared to using APOE and plasma Aβ1-40/Aβ1-42 as separate terms. Conclusions: The results suggest that plasma Aβ is a potential Alzheimer’s disease biomarker and highlight the importance of genetic variation in interpretation of plasma Aβ levels