Miracle-dz/UniFAR-FTUs huggingface dataset:
Dietary Factors and Neurodegenerative Disorders: An Umbrella Review of Meta-Analyses of Prospective Studies.

Diet has been hypothesized to be associated with neurodegenerative disorders. The aim was to conduct an umbrella review to summarize and evaluate the current evidence of prospective associations between any dietary factors and the incidence of neurodegenerative disorders. We conducted a systematic search in PubMed, Embase, and the Cochrane library up to November 2019 to identify systematic reviews with meta-analyses of prospective studies investigating the association between dietary factors (dietary patterns, foods and beverages, nutrients, and phytochemicals) and neurodegenerative disorders (cognitive decline, cognitive impairment, Alzheimer disease, all-cause dementia, and Parkinson disease). Summary risk ratios (SRRs) and 95% CIs were recalculated using a random effects model. We evaluated the risk of bias of identified meta-analyses and the quality of evidence for all associations. In total, 20 meta-analyses including 98 SRRs were identified. All original meta-analyses were rated as being at high risk of bias. Methodological concerns related mainly to the inappropriate synthesis, assessment, and discussion of the risk of bias of primary studies. For the recalculated meta-analyses, quality of evidence was moderate for inverse associations between higher adherence to the Mediterranean diet (SRR: 0.63; 95% CI: 0.48, 0.82; n = 4 primary studies) and higher fish intake (SRR: 0.72; 95% CI: 0.59, 0.89; n = 6) and Alzheimer disease, as well as for tea consumption and all-cause dementia (SRR: 0.74; 95% CI: 0.63, 0.88; n = 2) and Parkinson disease (SRR per 2 cups/d: 0.69; 95% CI: 0.54, 0.87; n = 5). This umbrella review provides a comprehensive overview of the available evidence on dietary factors and neurodegenerative disorders. The results indicate that the Mediterranean diet, fish, and tea could be inversely associated with neurodegenerative disorders. However, the quality of evidence was generally low, suggesting that further studies are likely to change the overall estimates. Thus, more well-conducted research, also investigating other dietary factors in association with neurodegenerative disorders, is warranted.
The Role of Past and Current Medical Use on Nonmedical Use of Prescription Drugs among College Students: Exploring Same-Drug and Cross-Drug Class Associations

Abstract Background: Understanding the role that medical use of prescription drugs plays in nonmedical use of prescription drugs can inform prevention efforts. In order to understand fully the potential risk that medical use of prescription drugs conveys for nonmedical use of prescription drugs, the current study explored (a) the simultaneous associations between the medical use of several classes of prescription drugs with current nonmedical use of the same and other prescription drug classes, and (b) whether the associations depended upon past or current medical use. Methods: Data came from a cross-sectional survey of 1686 college students, which assessed past and current medical use and current nonmedical use of stimulants, sedatives/anxiolytics, and opioid analgesics. Results: Logistic regression analyses revealed that both past and current medical use of sedatives/anxiolytics and opioid analgesics predicted the current nonmedical use of the same drug class, whereas past medical use of stimulants predicted the current nonmedical use of stimulants. In addition, current medical use of stimulants predicted current nonmedical use of sedatives/anxiolytics and past medical use of sedatives/anxiolytics predicted current nonmedical use of opioid analgesics. Conclusions: This study provides a broader examination than past research of simultaneous same-drug class and cross-drug class associations between medical and nonmedical prescription drug use, as well as the role of past and current medical use in these associations. Overall, the results suggest that efforts to prevent nonmedical use of a prescription drug class should move beyond targeting only those who have or who are using the same drug class medically.
The Potential Risk of Plant-Virus Disease Initiation by Infected Tomatoes

During 2019, tomato fruits showing viral-like symptoms of marbled yellow spots were abundant in Israel. The new symptoms were distinctive from those typical of tomato brown rugose fruit virus (ToBRFV) infection but resembled symptoms of pepino mosaic virus (PepMV) infection. RT-PCR analysis and the serological tests (enzyme linked immunosorbent assay, western blot and in situ immunofluorescence) revealed and confirmed the presence of both the tobamovirus ToBRFV and the potexvirus PepMV in the symptomatic fruits. A mixture of rod-like and filamentous particles, characteristic of viruses belonging to tobamovirus and potexvirus genera, was visualized by transmission electron microscopy of the tomato fruit viral extract. Sanger sequencing of amplified PepMV-coat protein gene segments showed ~98% sequence identity to the Chilean (CH2)-strain. In a biological assay testing the contribution of traded infected tomatoes to the establishment of tomato plant disease, we applied direct and indirect inoculation modes using Tm-22-resistant tomato plants. The results, assessed by disease symptom development along with serological and molecular analyses, showed that the ToBRFV and PepMV co-infected fruits were an effective inoculum source for disease spread only when fruits were damaged. Importantly, intact fruits did not spread the viral disease. These results added a new factor to disease epidemiology of these viruses.
Development and validation a nomogram for predicting the risk of severe COVID-19: A multi-center study in Sichuan, China

Background Since December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan and spread across the globe. The objective of this study is to build and validate a practical nomogram for estimating the risk of severe COVID-19. Methods A cohort of 366 patients with laboratory-confirmed COVID-19 was used to develop a prediction model using data collected from 47 locations in Sichuan province from January 2020 to February 2020. The primary outcome was the development of severe COVID-19 during hospitalization. The least absolute shrinkage and selection operator (LASSO) regression model was used to reduce data size and select relevant features. Multivariable logistic regression analysis was applied to build a prediction model incorporating the selected features. The performance of the nomogram regarding the C-index, calibration, discrimination, and clinical usefulness was assessed. Internal validation was assessed by bootstrapping. Results The median age of the cohort was 43 years. Severe patients were older than mild patients by a median of 6 years. Fever, cough, and dyspnea were more common in severe patients. The individualized prediction nomogram included seven predictors: body temperature at admission, cough, dyspnea, hypertension, cardiovascular disease, chronic liver disease, and chronic kidney disease. The model had good discrimination with an area under the curve of 0.862, C-index of 0.863 (95% confidence interval, 0.801–0.925), and good calibration. A high C-index value of 0.839 was reached in the interval validation. Decision curve analysis showed that the prediction nomogram was clinically useful. Conclusion We established an early warning model incorporating clinical characteristics that could be quickly obtained on admission. This model can be used to help predict severe COVID-19 and identify patients at risk of developing severe disease.
Alcohol consumption at selected bars in Keffi, Nigeria: Consumers’ awareness of recommended limits and consumption motivations

Abstract Are alcohol consumers aware of the recommended limit of alcohol consumption per day? What are the motivations for alcohol consumption? These questions constitute the major objective of this study. The study was carried out in Keffi town in Nasarawa State, Nigeria. Exploratory research design was adopted while the qualitative research method and instrument were adopted for data collection. Semi-structured interviews were conducted with 52 alcohol consumers in two different bars in Keffi. The study found that while all consumers expressed various reasons for alcohol consumption, all the interviewed respondents were not aware of the quantity of alcohol that poses immediate or future harm to the consumer. Consequently, all the interviewed drinkers consumed above the WHO recommended percentage of alcohol consumption per day. The study recommends that alcoholic drinks, and advertisements should carry more information about recommended daily intake, and quantity of alcohol that poses health and safety risks.
Abnormal functional connectivity and effective connectivity between the default mode network and attention networks in patients with alcohol-use disorder

Background Patients with alcohol-use disorder (AUD) demonstrate dysfunctional cerebral network connectivity. However, limited studies have investigated attention systems in AUD. Purpose To assess functional (FC) and effective connectivity (EC) in the dorsal (DAN) and ventral attention networks (VAN) and default mode network (DMN) in patients with AUD using resting-state functional magnetic resonance imaging (rs-fMRI). Material and Methods MRI and rs-fMRI data were obtained from 28 men with AUD and 30 age-matched healthy controls. Independent component analysis was used to identify and extract network data, for comparison between the two groups. Effective connectivity was evaluated using Granger causality analysis (GCA) by selecting significantly different brain areas as regions of interest (ROI). Signed-path coefficients between ROIs were computed in bivariate mode. Results In patients with AUD, FC decreased in the left superior parietal gurus (SPG) and left interparietal sulcus (IPS, in DAN); FC decreased in the right superior frontal gyrus (SPG) and right middle frontal gyrus (MFG, in DMN). GCA values indicated that the DMN exerts a positive causal effect on the DAN (P = 0.007/0.027), which consequently exerts a negative causal effect on the DMN (P = 0.032). Signed-path coefficients from the right MFG to the left IPS correlated negatively with MAST scores (P = 0.015). Conclusion We found novel inter-network connectivity dysfunction in patients with AUD, which indicates abnormal causal relations between resting-state DAN and DMN. Thus, patients with AUD may have abnormal top-down attention modulation and cognition.
Ascites in broiler chickens: exogenous and endogenous structural and functional causal factors

Broiler chickens and laying hens are intensively selected for productive traits. The management of these highly productive animals must be optimal to allow their full genetic potential to be expressed. If this is not done, inefficient production and several metabolic diseases become apparent. The causes of the latter are multifactorial but diet and, particularly, interactions between diet, other environmental and genetic factors play an important role. An imbalance between oxygen supply and the oxygen required to sustain rapid growth rates and high food efficiencies causes ascites in broiler chickens. It is clear that several nutritional factors, the amount of food given, its physical form and the composition of the diet have a major impact on the occurrence of ascites and sudden death syndrome in broiler chickens. Furthermore, the possible involvement of structural endogenous factors such as proportional changes in the respiratory and cardiovascular systems, shifts in the glycolytic:oxidative muscle metabolism ratio, and structural changes within the lung capillary system cannot be excluded. In addition, functional causal factors, such as the hypothyroid state associated with decreased maintenance metabolism as a result of the selection for fast growth rate and improved food efficiency, are likely to be involved. Both structural and functional causal mechanisms may already be initiated during the embryonic stage.
Psychological distress in patients with serious mental illness during the COVID-19 outbreak and one-month mass quarantine in Italy

© The Author(s), 2020. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. Psychological distress in patients with serious mental illness during the COVID-19 outbreak and one-month mass quarantine in Italy
The Predictive Factors for Severe Leptospirosis Cases in Kedah

Over the past decade, increased awareness about leptospirosis disease in developing and industrialized countries has resulted in increased numbers of leptospirosis cases being reported worldwide. About 5% to 15% of leptospirosis patients end up with severe forms of the disease. Complication due to leptospirosis requires monitoring, specific treatments, and intensive care admission, thus increasing the cost of treating severe leptospirosis cases. Currently, we have data on incident and mortality rates, but we do not have data on the number of patients with severe form of leptospirosis or how many patients have complications, and whether or not these complications were resolved. Therefore, we carried out this study to determine the predictive factors for severe leptospirosis cases in Kedah. We conducted a cross-sectional study. The data of patients diagnosed with leptospirosis were obtained from the surveillance unit, Kedah Health Department, through the e-notification system. These data were then sorted according to the hospitals where the patients were admitted. The patients’ medical records were collected, and their information was obtained using a checklist. A total of 456 confirmed leptospirosis cases were included in the study, with 199 patients classified as severe cases and 257 patients as mild cases, based on the Malaysian leptospirosis guidelines. Most patients were male (71.5%) with a mean SD age of 36.62 ± 20.75 years. The predictive factors for severe leptospirosis include abnormal lung sounds (OR: 3.07 [CI 1.58–6.00]), hepatomegaly (OR: 7.14 [1.10–45.98]), hypotension (OR: 2.16 [1.08–4.34]), leukocytosis (OR: 2.12 [1.37–3.29]), low hematocrit (OR: 2.33 [1.43–3.81]), and increased alanine aminotransferase (SGPT ALT) (OR: 2.12 [1.36–3.30]). In conclusion, knowing these predictive factors will help clinicians identify severe leptospirosis cases earlier and develop their treatment plans accordingly, to reduce the complications and death from severe leptospirosis.
Potentiation of Divergent Medial Amygdala Pathways Drives Experience-Dependent Aggression Escalation

Heightened aggression can be serious concerns for the individual and society at large and are symptoms of many psychiatric illnesses, such as post-traumatic stress disorder. The circuit and synaptic mechanisms underlying experience-induced aggression increase, however, are poorly understood. Here we find that prior attack experience leading to an increase in aggressive behavior, known as aggression priming, activates neurons within the posterior ventral segment of the medial amygdala (MeApv). Optogenetic stimulation of MeApv using a synaptic depression protocol suppresses aggression priming, whereas high-frequency stimulation enhances aggression, mimicking attack experience. Interrogation of the underlying neural circuitry revealed that the MeApv mediates aggression priming via synaptic connections with the ventromedial hypothalamus (VmH) and bed nucleus of the stria terminalis (BNST). These pathways undergo NMDAR-dependent synaptic potentiation after attack. Furthermore, we find that the MeApv–VmH synapses selectively control attack duration, whereas the MeApv–BNST synapses modulate attack frequency, both with no effect on social behavior. Synaptic potentiation of the MeApv–VmH and MeApv–BNST pathways contributes to increased aggression induced by traumatic stress, and weakening synaptic transmission at these synapses blocks the effect of traumatic stress on aggression. These results reveal a circuit and synaptic basis for aggression modulation by experience that can be potentially leveraged toward clinical interventions. SIGNIFICANCE STATEMENT Heightened aggression can have devastating social consequences and may be associated with psychiatric disorders, such as post-traumatic stress disorder. The circuit and synaptic mechanisms underlying experience-induced aggression escalation, however, are poorly understood. Here we identify two aggression pathways between the posterior ventral segment of the medial amygdala and its downstream synaptic partners, the ventromedial hypothalamus and bed nucleus of the stria terminalis that undergo synaptic potentiation after attack and traumatic stress to enhance aggression. Notably, weakening synaptic transmission in these circuits blocks aggression priming, naturally occurring aggression, and traumatic stress-induced aggression increase. These results illustrate a circuit and synaptic basis of aggression modulation by experience, which can be potentially targeted for clinical interventions.
Pleiotropy complicates a trade-off between phage resistance and antibiotic resistance

Significance Bacteriophages (“phages,” viruses that infect bacteria) are an important source of selection for bacterial populations. Phages use various structures to infect bacterial cells, and bacteria often evolve phage resistance by losing or modifying these structures. We examine a phage that uses two structures that also provide Escherichia coli cells with antibiotic resistance. We show that phage selection can result in bacteria evolving phage resistance by losing or modifying the structures. When phage resistance evolves, the bacteria sometimes also show increased antibiotic sensitivity. This result indicates an evolutionary trade-off between phage resistance and antibiotic resistance. However, we also discovered bacterial mutations that avoid the trade-off. We discuss the potential use of phage selection and evolutionary trade-offs in treating bacterial infections. Bacteria frequently encounter selection by both antibiotics and lytic bacteriophages. However, the evolutionary interactions between antibiotics and phages remain unclear, in particular, whether and when phages can drive evolutionary trade-offs with antibiotic resistance. Here, we describe Escherichia coli phage U136B, showing it relies on two host factors involved in different antibiotic resistance mechanisms: 1) the efflux pump protein TolC and 2) the structural barrier molecule lipopolysaccharide (LPS). Since TolC and LPS contribute to antibiotic resistance, phage U136B should select for their loss or modification, thereby driving a trade-off between phage resistance and either of the antibiotic resistance mechanisms. To test this hypothesis, we used fluctuation experiments and experimental evolution to obtain phage-resistant mutants. Using these mutants, we compared the accessibility of specific mutations (revealed in the fluctuation experiments) to their actual success during ecological competition and coevolution (revealed in the evolution experiments). Both tolC and LPS-related mutants arise readily during fluctuation assays, with tolC mutations becoming more common during the evolution experiments. In support of the trade-off hypothesis, phage resistance via tolC mutations occurs with a corresponding reduction in antibiotic resistance in many cases. However, contrary to the hypothesis, some phage resistance mutations pleiotropically confer increased antibiotic resistance. We discuss the molecular mechanisms underlying this surprising pleiotropic result, consideration for applied phage biology, and the importance of ecology in evolution of phage resistance. We envision that phages may be useful for the reversal of antibiotic resistance, but such applications will need to account for unexpected pleiotropy and evolutionary context.
Correlation Between Physical Measurements and Observer Evaluations of Image Quality in Digital Chest Radiography.

PURPOSE The aim of this paper was to investigate the relationship between the physical and subjective (observer) image quality metrics in digital chest radiography. METHODS Five digital radiography systems, four with indirect flat panel detector and one with storage-phosphor based computed radiography system, were used in the study. The physical image quality assessments were carried out using effective detective quantum efficiency (eDQE) metric and subjective performance of the digital radiography systems was evaluated in terms of inverse image quality figure (IQFinv ) derived from the contrast-detail diagrams using CDRAD 2.0 phantom and CDRAD phantom analyser software. All measurements were performed for different tube voltages (70, 81, 90, 102, 110 and 125 kVp) and polymethyl methacrylate (PMMA) phantom thicknesses. An anthropomorphic chest phantom and visual grading analysis (VGA) technique based on European Image Quality Criteria for chest radiography were used for clinical image quality evaluation. RESULTS The Spearman correlation coefficients were calculated for the investigation of the correlation between physical image quality and clinical image quality. The results showed strong positive correlation between the physical and clinical image quality findings. The minimum correlation coefficient was 0.91 (p<0.011) for IQFinv versus VGA scores and 0.92 (p<0.009) for IeDQE versus VGA scores. CONCLUSIONS Our results confirm that clinical image quality can be predicted with both physical assessments and contrast-detail detectability studies.
Investigation of the effect of K. alvarezii on antioxidant enzymes, cell viability and DNA damage in male rats

In recent years, a significant number of novel metabolites with potent pharmacological properties (antioxidant, antitumor, anti-HIV) have been discovered from marine organisms. Kappaphycus alvarezii (Doty) is a marine alga belonging to order: Gigartinales and family: Solieriaceae. It has been invasive in the Gulf of Mannar since 2000, and has a high content of the steroid phenol. This is the first report on its antioxidant properties using an animal model. This study aimed to explore the antioxidant and antigenotoxic/protective role of K. alvarezii growing in southeast coast of India in the male rat. The findings indicate that an extract of K. alvarezii is not nephrotoxic at the dose levels. The algal antioxidant activity shows similar correlation (89%; R 2=0.8963) at varying temperature to the known antioxidant. K. alvarezii extracts exhibit significant protective effects against DNA damage induced by H2O2, which might be related to antioxidant activity. In conclusion, our results suggest that long-term daily administration of K. alvarezii extract offers enhanced antioxidant potential and protection against tissue lipid peroxidation and cell damage. Our results support the use of K. alvarezii in the food and pharmaceutical industries.