Miracle-dz/UniFAR-FTUs huggingface dataset:
Frailty in geriatric psychiatry inpatients: a retrospective cohort study

ABSTRACT Objective: We aimed to evaluate the prevalence, clinical determinants, and consequences (falls and hospitalization) of frailty in older adults with mental illness. Design: Retrospective clinical cohort study. Setting: We collected the data in a specialized psychogeriatric ward, in Boston, USA, between July 2018 and June 2019. Participants: Two hundred and fourty-four inpatients aged 65 years old and over. Measurements: Psychiatric diagnosis was based on a multi-professional consensus meeting according to DSM-5 criteria. Frailty was assessed according to two common instruments, that is, the FRAIL questionnaire and the deficit accumulation model (aka Frailty Index [FI]). Multiple linear regression analyses were conducted to evaluate the association between frailty and sample demographics (age, female sex, and non-Caucasian ethnicity) and clinical characteristics (dementia, number of clinical diseases, current infection, number of psychotropic, and non-psychotropic medications in use). Multiple regression between frailty assessments and either falls or number of hospital admissions in the last 6 and 12 months, respectively, were analyzed and adjusted for covariates. Results: Prevalence of frailty was high, that is, 83.6% according to the FI and 55.3% according to the FRAIL questionnaire. Age, the number of clinical (somatic) diseases, and the number of non-psychotropic medications were independently associated with frailty identified by the FRAIL. Dementia, current infection, the number of clinical (somatic) diseases, and the number of non-psychotropic medications were independently associated with frailty according to the FI. Falls were significantly associated with both frailty instruments. However, we found only a significant association for the number of hospital admissions with the FI. Conclusion: Frailty is highly prevalent among geriatric psychiatry inpatients. The FRAIL questionnaire and the FI may capture different forms of frailty dimensions, being the former probably more associated with the phenotype model and the latter more associated with multimorbidity.
Age-dependent increase in activity of eukaryotic elongation factor 2 kinase in mesenteric arteries from spontaneously hypertensive rats

Eukaryotic elongation factor 2 (eEF2) kinase (eEF2K) negatively regulates protein translation through the phosphorylation of its specific substrate, eEF2. We previously found that expression of eEF2K was increased in arteries from 13–15-week-old spontaneously hypertensive rats (SHR) as well as in left ventricles of cardiac hypertrophy models. Furthermore, we demonstrated that eEF2K mediates the development of essential hypertension and pulmonary arterial hypertension in animal models. Protein expression changes with age during development of hypertension in SHR. In the present study, we examined whether activity and expression of eEF2K change in isolated mesenteric arteries dependent on the age. After superior mesenteric arteries were isolated from 4–10-week-old Wistar Kyoto rats (WKY) and SHR, Western blotting was performed. The phosphorylation of eEF2K at Ser500, an activating phosphorylation site, was increased in the arteries from 10-week-old SHR, whereas the phosphorylation of eEF2K at Ser366, an inactivating phosphorylation site, was increased in the arteries from 4–5-week-old SHR compared with WKY. The expression of eEF2K was increased in the arteries from 10-week-old SHR compared with WKY. The phosphorylation of eEF2 at Thr56 was decreased in the arteries from 4–5-week-old SHR, whereas it was increased in the arteries from 10-week-old SHR compared with WKY. We for the first time revealed that eEF2K activity is lower in prehypertensive stage but higher in hypertensive stage in SHR, suggesting that an inhibition of eEF2K activity may be a potential therapeutic strategy for the treatment of essential hypertension.
Impact of Cognitive Impairment and Dysarthria on Spoken Language in Multiple Sclerosis

Abstract Objective: To investigate the impact of cognitive impairment on spoken language produced by speakers with multiple sclerosis (MS) with and without dysarthria. Method: Sixty speakers comprised operationally defined groups. Speakers produced a spontaneous speech sample to obtain speech timing measures of speech rate, articulation rate, and silent pause frequency and duration. Twenty listeners judged the overall perceptual severity of the samples using a visual analog scale that ranged from no impairment to severe impairment (speech severity). A 2 × 2 factorial design examined main and interaction effects of dysarthria and cognitive impairment on speech timing measures and speech severity in individuals with MS. Each speaker group with MS was further compared to a healthy control group. Exploratory regression analyses examined relationships between cognitive and biopsychosocial variables and speech timing measures and perceptual judgments of speech severity, for speakers with MS. Results: Speech timing was significantly slower for speakers with dysarthria compared to speakers with MS without dysarthria. Silent pause durations also significantly differed for speakers with both dysarthria and cognitive impairment compared to MS speakers without either impairment. Significant interactions between dysarthria and cognitive factors revealed comorbid dysarthria and cognitive impairment contributed to slowed speech rates in MS, whereas dysarthria alone impacted perceptual judgments of speech severity. Speech severity was strongly related to pause duration. Conclusions: The findings suggest the nature in which dysarthria and cognitive symptoms manifest in objective, acoustic measures of speech timing and perceptual judgments of severity is complex.
Effects of repetitive paired associative stimulation on brain plasticity and working memory in Alzheimer’s disease: a pilot randomized double-blind-controlled trial

ABSTRACT Design: Pilot randomized double-blind-controlled trial of repetitive paired associative stimulation (rPAS), a paradigm that combines transcranial magnetic stimulation (TMS) of the dorsolateral prefrontal cortex (DLPFC) with peripheral median nerve stimulation. Objectives: To study the impact of rPAS on DLPFC plasticity and working memory performance in Alzheimer’s disease (AD). Methods: Thirty-two patients with AD (females = 16), mean (SD) age = 76.4 (6.3) years were randomized 1:1 to receive a 2-week (5 days/week) course of active or control rPAS. DLPFC plasticity was assessed using single session PAS combined with electroencephalography (EEG) at baseline and on days 1, 7, and 14 post-rPAS. Working memory and theta–gamma coupling were assessed at the same time points using the N-back task and EEG. Results: There were no significant differences between the active and control rPAS groups on DLPFC plasticity or working memory performance after the rPAS intervention. There were significant main effects of time on DLPFC plasticity, working memory, and theta–gamma coupling, only for the active rPAS group. Further, on post hoc within-group analyses done to generate hypotheses for future research, as compared to baseline, only the rPAS group improved on post-rPAS day 1 on all three indices. Finally, there was a positive correlation between working memory performance and theta–gamma coupling. Conclusions: This study did not show a beneficial effect of rPAS for DLPFC plasticity or working memory in AD. However, post hoc analyses showed promising results favoring rPAS and supporting further research on this topic. (Clinicaltrials.gov-NCT01847586)
Food insecurity and depression among low-income adults in the USA: does diet diversity play a role? Findings from the 2013–2014 National Health and Nutrition Examination Survey

Abstract Objective: Food insecurity is associated with a greater risk of depression among low-income adults in the USA. Members of food-insecure households have lower diet diversity than their food-secure counterparts. This study examined whether diet diversity moderates the association between food insecurity and depression. Design: Multiple logistic regression was conducted to examine independent associations between food insecurity and depression, between diet diversity and depression, and the moderating effect of diet diversity in the food insecurity–depression link. Setting: Cross-sectional data from the National Health and Nutrition Examination Survey (2013–2014). Participants: 2636 low-income adults aged 18 years and older. Results: There was a positive association between food insecurity and depression among low-income adults. Diet diversity was not associated with depression. Diet diversity had a moderating effect on the association between food insecurity and depression among low-income adults. Conclusions: Food insecurity is independently associated with depression among low-income adults in the USA. However, this association differs across levels of diet diversity. Longitudinal studies are needed to confirm the role diet diversity may play in the pathway between food insecurity and depression.
Abundant synthesis of long‐chain polyunsaturated fatty acids in Eutreptiella sp. (Euglenozoa) revealed by chromatographic and transcriptomic analyses

Algal lipids are important molecules to store energy in algae and transfer energy in the marine food chain, and are potential materials for high value nutraceuticals (e.g., omega‐3 fatty acids) or biofuel production. However, how lipid biosynthesis is regulated is not well understood in many species including Eutreptiella from the phylum of Euglenozoa. Here, we characterized the fatty acid (FA) profile of an Eutreptiella species isolated from Long Island Sound, USA, using gas chromatography–tandem mass spectrometry (GC/MS/MS) and investigated their biosynthesis pathways by transcriptome sequencing. We discovered 24 types of FAs including a relatively high proportion of long‐chain unsaturated FAs. The abundances of C16, C18, and saturated FAs decreased when phosphate in the culture medium was depleted. Among the 24 FAs, docosahexaenoic acid (C22:6∆4,7,10,13,16,19) was most abundant, suggesting that Eutreptiella sp. preferentially invests in the synthesis of long‐chain polyunsaturated fatty acids (LC‐PFAs). Further transcriptomic analysis revealed that Eutreptiella sp. likely synthesizes LC‐PFAs via ∆8 pathway and uses type I and II fatty acid synthases. Using RT–qPCR, we found that some of the lipid synthesis genes, such as β‐ketoacyl‐ACP reductase, fatty acid desaturase, acetyl‐CoA carboxylase, acyl carrier protein, ∆8 desaturase, and Acyl‐ACP thioesterase, were more actively expressed during light period, and two carbon fixation genes were up‐regulated in the high‐lipid illuminated cultures, suggesting a linkage between photosynthesis and lipid production. The lipid profile renders Eutreptiella sp. a nutritional prey and valuable source for nutraceuticals, and the biosynthesis pathway documented here will be useful for future research and applications.
Prey capture in protists utilizing microtubule filled processes and surface motility

Surface motility, which can be visualized by the movement of live prey organisms, polystyrene microspheres or other inert particles, has been shown to occur in a wide variety of microtubule‐filled extensions of the protistan cell surface, although the associated functions remain enigmatic. This article integrates an extensive but poorly known body of literature showing that surface motility, associated with microtubule‐filled cell extensions such as flagella, axopodia, actinopodia, reticulopodia, and haptonema, plays a crucial role in protistan prey capture. Surface motility has been most extensively studied in Chlamydomonas where it is responsible for flagella‐dependent whole cell gliding motility. The force transduction machinery for gliding motility in Chlamydomonas is intraflagellar transport. Other than in Chlamydomonas, this field has not moved far beyond the descriptive to the mechanistic because of technical challenges associated with many of the protistan organisms that utilize surface motility for prey capture. The purpose of this article is to rekindle interest in the protistan systems that utilize surface motility for prey capture at a time when newly emerging molecular tools for working with protists are poised to reinvigorate a field that has been quiescent too long.
Impact of Heteroatom Substitution on Dual-State Emissive Rigidified 2-(2'-hydroxyphenyl)benzazole Dyes: Towards Ultra-Bright ESIPT Fluorophores.

Dual-medium fluorophores which show significant luminescence intensity in solution and in the solid-state from two emissive forms remain scarce in the literature and can only result from a subtle balance between rigidity, planarity and solubility while avoiding detrimental π-π stacking and strong molecular motions. 2-(2'-hydroxyphenyl)benzazole (HBX) fluorophores are popular Excited-State Intramolecular Proton Transfer (ESIPT) emitters largely studied for their synthetic versatility, photostability, strong solid-state fluorescence and ability to engineer dual emission paving the way to applications as white emitters, ratiometric sensors, and cryptographic dyes. They are, however heavily quenched in solution, due to efficient non-radiative pathways taking place as a consequence of the proton transfer in the excited-state. A mono- or bis-functionalization of the HBX scaffold with ethynyl-extended moieties was previously shown to yield enhanced brightness of the resulting dyes in solution. In this contribution, the nature of the heteroring constitutive of these rigidified HBX dyes was modified and we demonstrate that this simple structural modification triggers major optical changes in terms of emission color, dual emission engineering, and importantly, fluorescent quantum yield. Investigation of the photophysical properties in solution and in the solid-state of a series of ethynyl-TIPS extended HBX fluorophores, along with ab initio calculations demonstrate the very promising abilities of these dyes to act as bright dual-state emitters, in both solution and solid-state.
The effect of illness perception on life quality in psoriasis patients

ABSTRACT Psoriasis is a chronic disease that has negative effects on quality of life. Understanding the illness perception of psoriasis is important for effective management of the disease and improving quality of life. The aim of this study was to determine the relationship between illness perception and quality of life in psoriasis patients. This cross-sectional study was performed with 306 patients who applied to a psoriasis outpatient clinic of a university hospital in Istanbul, Turkey. Data were collected using a sociodemographic characteristics and disease information form, the Dermatology Life Quality Index (DLQI), the Revised Illness Perception Questionnaire (IPQ-R) and the Psoriasis Area Severity Index (PASI) score. Data were analyzed using descriptive statistics, Kruskal-Wallis test and Mann-Whitney U test, Spearman correlation analysis, and multiple regression analysis. A positive relationship was found between scores on the DLQI and scores on the IPQ-R subscales of Illness identity, Consequences, Emotional representations, Time (cyclic), Personal attributions, External attributions, and Chance. A negative correlation was determined between DLQI scores and scores on the IPQ-R subscales of Treatment control and Illness coherence. Furthermore, there was a positive correlation between the PASI score and the DLQI scores and scores on the IPQ-R subscales of Consequences and Emotional representation. Multiple regression analysis showed that illness identity, PASI scores, treatment control, illness coherence, consequences, and personal attributions were significantly associated with quality of life (R2 = 0.365, p < 0.01). The quality of life of the psoriasis patients who associated their symptoms with the disease, who had a high PASI score, thought that they were adversely affected by the disease, and who saw personal attributions as the cause of the disease was negatively affected. The quality of life of patients who thought that their disease could be kept under control and who understood their disease was positively affected.
Monitoring Misinformation on Twitter During Crisis Events: A Machine Learning Approach

Social media has been increasingly utilized to spread breaking news and risk communications during disasters of all magnitudes. Unfortunately, due to the unmoderated nature of social media platforms such as Twitter, rumors and misinformation are able to propagate widely. Given this, a surfeit of research has studied false rumor diffusion on Twitter, especially during natural disasters. Within this domain, studies have also focused on the misinformation control efforts from government organizations and other major agencies. A prodigious gap in research exists in studying the monitoring of misinformation on social media platforms in times of disasters and other crisis events. Such studies would offer organizations and agencies new tools and ideologies to monitor misinformation on platforms such as Twitter, and make informed decisions on whether or not to use their resources in order to debunk. In this work, we fill the research gap by developing a machine learning framework to predict the veracity of tweets that are spread during crisis events. The tweets are tracked based on the veracity of their content as either true, false, or neutral. We conduct four separate studies, and the results suggest that our framework is capable of tracking multiple cases of misinformation simultaneously, with F1$F_1$ scores exceeding 87%. In the case of tracking a single case of misinformation, our framework reaches an F1$F_1$ score of 83%. We collect and drive the algorithms with 15,952 misinformation‐related tweets from the Boston Marathon bombing (2013), Manchester Arena bombing (2017), Hurricane Harvey (2017), Hurricane Irma (2017), and the Hawaii ballistic missile false alert (2018). This article provides novel insights on how to efficiently monitor misinformation that is spread during disasters.
Comparison of Genome-Wide Association Scans for Quantitative and Observational Measures of Human Hair Curvature

Abstract Previous genetic studies on hair morphology focused on the overall morphology of the hair using data collected by self-report or researcher observation. Here, we present the first genome-wide association study (GWAS) of a micro-level quantitative measure of hair curvature. We compare these results to GWAS results obtained using a macro-level classification of observable hair curvature performed in the same sample of twins and siblings of European descent. Observational data were collected by trained observers, while quantitative data were acquired using an Optical Fibre Diameter Analyser (OFDA). The GWAS for both the observational and quantitative measures of hair curvature resulted in genome-wide significant signals at chromosome 1q21.3 close to the trichohyalin (TCHH) gene, previously shown to harbor variants associated with straight hair morphology in Europeans. All genetic variants reaching genome-wide significance for both GWAS (quantitative measure lead single-nucleotide polymorphism [SNP] rs12130862, p = 9.5 × 10–09; observational measure lead SNP rs11803731, p = 2.1 × 10–17) were in moderate to very high linkage disequilibrium (LD) with each other (minimum r2 = .45), indicating they represent the same genetic locus. Conditional analyses confirmed the presence of only one signal associated with each measure at this locus. Results from the quantitative measures reconfirmed the accuracy of observational measures.
Resilient youth with neurofibromatosis: Less perceived stress and greater life satisfaction after an 8-week virtual mind–body intervention

Abstract Objectives The neurofibromatoses (NF) are rare, incurable genetic disorders. Adolescents with NF report greater stress and lower life satisfaction compared to same-age peers. We report on changes in life satisfaction and perceived stress following an 8-week single-blind, virtual randomized controlled trial of a mind–body intervention versus an educational control. Methods Adolescents (N = 51) completed measures at baseline, post-treatment (N = 45), and 6 months later (N = 39). Results Adolescents were geographically diverse, 41% female, and 76% White. Adolescents randomized to the intervention had greater improvements from baseline to post-test in stress compared to those in control; these were maintained through 6 months. Those randomized to intervention also reported greater improvement in life satisfaction from baseline to 6 months. Conclusions The NF tailored mind–body program resulted in sustained reduction in stress and improved life satisfaction. A virtual model of mind–body care may help adolescents who face other chronic medical illness.
High-intensity downhill running exacerbates heart rate and muscular fatigue in trail runners

ABSTRACT This study explores the cardiorespiratory and muscular fatigue responses to downhill (DR) vs uphill running (UR) at similar running speed or similar oxygen uptake (⩒O2). Eight well-trained, male, trail runners completed a maximal level incremental test and three 15-min treadmill running trials at ±15% slope: i) DR at ~6 km·h−1 and ~19% ⩒O2max (LDR); ii) UR at ~6 km·h−1 and ~70% ⩒O2max (HUR); iii) DR at ~19 km·h−1 and ~70% ⩒O2max (HDR). Cardiorespiratory responses and spatiotemporal gait parameters were measured continuously. Maximal isometric torque was assessed before and after each trial for hip and knee extensors and plantar flexor muscles. At similar speed (~6 km·h−1), cardiorespiratory responses were attenuated in LDR vs HUR with altered running kinematics (all p < 0.05). At similar ⩒O2 (~3 l·min−1), heart rate, pulmonary ventilation and breathing frequency were exacerbated in HDR vs HUR (p < 0.01), with reduced torque in knee (−15%) and hip (−11%) extensors and altered spatiotemporal gait parameters (all p < 0.01). Despite submaximal metabolic intensity (70% ⩒O2max), heart rate and respiratory frequency reached maximal values in HDR. These results further our understanding of the particular cardiorespiratory and muscular fatigue responses to DR and provide the bases for future DR training programs for trail runners.
Negative interactions with extended family and church members and subjective well-being among older African American women

ABSTRACT The purpose of this study was to determine whether negative interactions with family and church members are associated with indicators of subjective well-being (SWB) in a nationally representative sample of older African American women. The analytic sample (N = 537) was drawn from the National Survey of American Life. Linear regressions were used to assess the associations between negative interactions with family and church members and happiness, life satisfaction, and self-esteem. The negative interactions with family variable was inversely associated with happiness and self-esteem. Findings underscore the importance of social relationships and the quality of these relationships in women’s well-being.
4DNvestigator: Time Series Hi-C and RNA-seq Data Analysis Toolbox

Motivation Comprehensive investigation of genome structure and function dynamics underlying cell phenotype produces vast amounts of high-dimensional, multilayered data. New methods are required to organize these data into an informative framework. Here we provide a comprehensive data analysis toolbox guided by theory of networks. Results We present the “4DNvestigator”, a user-friendly toolbox for the analysis of time-series genome structure, measured by genome-wide chromosome conformation capture (Hi-C), and genome function, measured by RNA sequencing (RNA-seq). Our toolbox provides network-based data analysis tools such as single-layer/multilayer network centrality and network entropy to characterize the 4D Nucleome. The toolbox also contains statistical methods for comparing genomic structure at multiple genomic scales. Availability https://github.com/lindsly/4DNvestigator Contact indikar@umich.edu