Faculty Bibliography

People with Down syndrome (DS) are at an increased risk for Alzheimer's disease (AD). After 60 years of age, >50% of DS subjects acquire dementia. Nevertheless, the age of onset is highly variable possibly because of both genetic and environmental factors. Genetics cannot be modified, but environmental risk factors present a potentially relevant intervention for DS persons at risk for AD. Among them, inflammation, important in AD of DS type, is potential target. Consistent with this hypothesis, chronic peripheral inflammation and infections may contribute to AD pathogenesis in DS. People with DS have an aggressive form of periodontitis characterized by rapid progression, significant bacterial and inflammatory burden, and an onset as early as 6 years of age. This review offers a hypothetical mechanistic link between periodontitis and AD in the DS population. Because periodontitis is a treatable condition, it may be a readily modifiable risk factor for AD.

Introduction: Oral mucositis (OM) is among the most common, painful and debilitating toxicities of cancer regimen-related treatment, resulting in the formation of ulcers, which are susceptible to increased colonization of microorganisms. Objectives: The aim of this study is to explore the changes in the microbiome associated with OM onset in head and neck cancer patients (oral cavity and oropharynx squamous cell carcinoma) undergoing radiotherapy alone (RT) or chemoradiotherapy (chemoRT) using molecular techniques. Methods: We recruited patients scheduled for receiving radiotherapy alone or chemoRT. Site-specific oral biofilms samples were collected using Isohelix swabs at two time points: before initiating RT/ChemoRT (pre-OM), and at the onset of OM (post-OM ie OM > 1, WHO scale). Changes in microbial abundance were detected using the Human Oral Microbe Identification using Next Generation Sequencing (HOMINGS) and metagenomic analyses. An integrative computational model estimated average changes of microbial abundance patterns of 768 species identified from pre-and-post OM onset. Results: Relative changes in abundance of 54 microbial biomarkers in 16 subjects were discriminative between pre and post OM onset. Discriminant species such as Gemella haemolysans, Granulicatella elegans, Haemophilus spp., Prevotellaoris, and Aggregatibacter sp. HOT512 were found to be significantly overabundant in post-OM onset samples as compared to pre-OM. (Table Presented) Conclusions: Our results suggest a dynamic shift in the oral microbiome during the onset of OM. These species may act as opportunistic pathogens in this population, and further investigation is warranted to explore if they facilitate further tissue damage and subsequent pain

OBJECTIVE: Most HIV-positive men who have sex with men (MSM) ages 50 and older feel a responsibility to protect their sex partners from HIV transmission risk. For some, this is enacted through HIV disclosure, for others, this is realized through reduced risk behaviors. METHODS: To examine this, we analyzed interviews of 23 HIV-positive MSM ages 50 and older. RESULTS: We identified several contextual, relational, and psychosocial factors that served as either barriers or facilitators to HIV disclosure. CONCLUSIONS: Our findings suggest HIV status disclosure is multifaceted and continues to impact sexual communication in the lives of MSM as they enter middle age.

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

BACKGROUND: There has been an exponential increase in the prevalence of e-cigarette use, particularly among youth. However, adult use is also rising, and there have been relatively few qualitative studies with adult users to understand their reasons for use and future use intentions. Such information is needed to inform both prevention and cessation approaches. METHOD: Thirty-one e-cigarette users participated in one of several focus groups assessing the appeal of e-cigarettes as well as comparisons to combustible cigarettes and approved smoking cessation aids. We also obtained perspectives on future use intentions and interest in e-cigarette cessation interventions. Verbatim transcripts were analyzed using the constant comparative method. RESULTS: Participants reported several aspects of e-cigarette appeal as compared to approved cessation treatment options. These included similarities to combustible cigarettes, fewer side effects, and control of e-cigarettes to suit personal preferences. Participants were split on whether they preferred flavors that mimicked or contrasted with their combustible cigarettes (i.e., tobacco vs. alternative flavors, such as candy). Some participants who were unmotivated to quit smoking reported an unanticipated disinterest in continuing use of combustible cigarettes shortly after initiating e-cigarettes. Despite strong interest in reducing nicotine dosage, the majority did not intend to fully discontinue e-cigarettes. CONCLUSIONS: Understanding e-cigarette users' perspectives can inform policy and treatment development. Regulatory and policy initiatives will need to balance the appealing characteristics of e-cigarettes with the potential for negative public health outcomes.

BACKGROUND:The majority of global cardiovascular disease (CVD) burden falls on people living in low- and middle-income countries (LMICs). In order to reduce preventable CVD mortality and morbidity, LMIC health systems and health care providers need to improve the delivery and quality of CVD care. OBJECTIVES/OBJECTIVE:As part of the Disease Control Priorities Three (DCP3) Study efforts addressing quality improvement, we reviewed and summarized currently available evidence on interventions to improve quality of clinic-based CVD prevention and management in LMICs. METHODS:We conducted a narrative review of published comparative clinical trials that evaluated efficacy or effectiveness of clinic-based CVD prevention and management quality improvement interventions in LMICs. Conditions selected a priori included hypertension, diabetes, hyperlipidemia, coronary artery disease, stroke, rheumatic heart disease, and congestive heart failure. MEDLINE and EMBASE electronic databases were systematically searched. Studies were categorized as occurring at the system or patient/provider level and as treating the acute or chronic phase of CVD. RESULTS:From 847 articles identified in the electronic search, 49 met full inclusion criteria and were selected for review. Selected studies were performed in 19 different LMICs. There were 10 studies of system level quality improvement interventions, 38 studies of patient/provider interventions, and one study that fit both criteria. At the patient/provider level, regardless of the specific intervention, intensified, team-based care generally led to improved medication adherence and hypertension control. At the system level, studies provided evidence that introduction of universal health insurance coverage improved hypertension and diabetes control. Studies of system and patient/provider level acute coronary syndrome quality improvement interventions yielded inconclusive results. The duration of most studies was less than 12 months. CONCLUSIONS:The results of this review suggest that CVD care quality improvement can be successfully implemented in LMICs. Most studies focused on chronic CVD conditions; more acute CVD care quality improvement studies are needed. Longer term interventions and follow-up will be needed in order to assess the sustainability of quality improvement efforts in LMICs.

BACKGROUND: Metabolic syndrome poses an increased global burden of disease and causes immense financial burden, warranting heightened public health attention. The present study assessed the prevalence and severity of cardiometabolic risk among foreign-born versus US-born blacks, while exploring potential gender-based effects. METHODS: A total of 1035 patients from the Metabolic Syndrome Outcome Study (Trial registration: NCT01946659) provided sociodemographic, medical history, and clinical data. General Linear Model (GLM) was used to assess the effects of birthplace and gender on cardiometabolic parameters, adjusting for age differences in the sample. RESULTS: Of the sample, 61.6 % were foreign-born blacks (FBB) and 38.4 % were US-born blacks (USB). FBB had significantly lower BMI compared with USB (32.76 +/- 0.35 vs. 35.41 +/- 0.44, F = 22.57), but had significantly higher systolic blood pressure (136.70 +/- 0.77 vs. 132.83 +/- 0.98; F = 9.60) and fasting glucose levels than did USB (146.46 +/- 3.37 vs. 135.02 +/- 4.27; F = 4.40). Men had higher diastolic BP (76.67 +/- 0.65 vs. 75.05 +/- 0.45; F = 4.20), glucose (146.53 +/- 4.48 vs. 134.95 +/- 3.07; F = 4.55) and triglyceride levels (148.10 +/- 4.51 vs. 130.60 +/- 3.09; F = 10.25) compared with women, but women had higher LDL-cholesterol (109.24 +/- 1.49 vs. 98.49 +/- 2.18; F = 16.60) and HDL-cholesterol levels (50.71 +/- 0.66 vs. 42.77 +/- 0.97; F = 46.01) than did men. CONCLUSIONS: Results showed that birthplace has a significant influence on cardiometabolic profiles of blacks with metabolic syndrome. Patients' gender also had an independent influence on cardiometabolic profile.