Miracle-dz/UniFAR-FTUs huggingface dataset:
Cellular and Extracellular Vesicle RNA Analysis in the Global Threat Fungus Candida auris

Candida auris, a relevant emerging human-pathogenic yeast, is the first fungus to be called a global public health threat by the WHO. This is because of its rapid spread on all inhabited continents, together with its extremely high frequency of drug and multidrug resistance. ABSTRACT Emerging and reemerging pathogens are a worldwide concern, and it is predicted that these microbes will cause severe outbreaks. Candida auris affects people with weakened immune systems, particularly those who are hospitalized or are in health care facilities. Extracellular vesicles (EVs) are lipid bilayer structures released by organisms from all domains of life. EVs can deliver functional molecules to target cells, including proteins and nucleic acids, especially RNA molecules. EVs from several pathogenic fungi species play diverse biological roles related to cell-cell communication and pathogen-host interaction. In this study, we describe a data set which we produced by sequencing the RNA content of EVs from C. auris under normal growth conditions and in the presence of the antifungal caspofungin, a first-line drug to treat this fungus. To generate a more complete data set for future comparative studies, we also sequenced the RNA cellular content of EVs under the same conditions. This data set addresses a previously unexplored area of fungal biology regarding cellular small RNA and EV RNA. Our data will provide a molecular basis for the study of the aspects associated with antifungal treatment, gene expression response, and EV composition in C. auris. These data will also allow the exploration of small RNA content in the fungal kingdom and might serve as an informative basis for studies on the mechanisms by which molecules are directed to fungal EVs. IMPORTANCE Candida auris, a relevant emerging human-pathogenic yeast, is the first fungus to be called a global public health threat by the WHO. This is because of its rapid spread on all inhabited continents, together with its extremely high frequency of drug and multidrug resistance. In our study, we generated a large data set for 3 distinct strains of C. auris and obtained cellular small RNA fraction as well as extracellular vesicle RNA (EV-RNA) during normal growth conditions and after treatment with caspofungin, the first-line drug used to treat C. auris infection.
A historical review of experimental imaging of the beating heart coronary microcirculation in vivo

Following a myocardial infarction (MI), the prognosis of patients is highly dependent upon the re‐establishment of perfusion not only in the occluded coronary artery, but also within the coronary microcirculation. However, our fundamental understanding of the pathophysiology of the tiniest blood vessels of the heart is limited primarily because no current clinical imaging tools can directly visualise them. Moreover, in vivo experimental studies of the beating heart using intravital imaging have also been hampered due to obvious difficulties related to significant inherent contractile motion, movement of the heart brought about by nearby lungs and its location in an anatomically challenging position for microscopy. However, recent advances in microscopy techniques, and the development of fluorescent reporter mice and fluorescently conjugated antibodies allowing visualisation of vascular structures, thromboinflammatory cells and blood flow, have allowed us to overcome some of these challenges and increase our basic understanding of cardiac microvascular pathophysiology. In this review, the elegant attempts of the pioneers in intravital imaging of the beating heart will be discussed, which focussed on providing new insights into the anatomy and physiology of the healthy heart microvessels. The reviews end with the more recent studies that focussed on disease pathology and increasing our understanding of myocardial thromboinflammatory cell recruitment and flow disturbances, particularly in the setting of diseases such as MI.
Efficacy of the Cooperative Assessment Method (COOPAS) to Improve the Psychiatric Care of Help-Seeking Adolescents

Objective Effective treatment of adolescents with psychopathological disorders is essential to reduce later morbidity and disability. To evaluate the clinical value of a new adolescent Cooperative Assessment scheme (COOPAS) as indicated by establishing therapeutic alliance, improving symptoms, and particularly by reducing dropouts. Method Consecutive help-seeking adolescents (N=136) were recruited, evaluated with an 8-week COOPAS protocol and followed for 6 months to document dropouts during treatment. Clinical rating scales [Hamilton Depression and Anxiety scales (HAM-D, HAM-A), Global Functioning Role and Social Scales (GF-RS, GF-SS), Structured Interview for Prodromal Symptoms (SIPS), Clinical Global Impression (CGI), Working Alliance Inventory-Therapist version (WAI-T), Therapist Response Questionnaire (TRQ), Psychotherapy Relationship Questionnaire (PRQ)] were administered at intake, 4 weeks later, and at the end of COOPAS evaluation (8 weeks). Results Final HAM-A and HAM-D scores improved by 25%; CGI, GF-SS and GF-RS also improved significantly. Similarly, WAI-T showed significant improvements in all three subscales, and patient-clinician relationships (PRQ) showed decreases in Anxious/Preoccupied and Avoidant/Counterdependent dimensions with increases of the Secure/Engaged measure. After 6 months, dropout rate was 8.82%. Conclusions COOPAS assessment was followed by reduced depressive and anxiety symptoms, good therapeutic alliance, and low dropout in adolescents.
Dietary fat and carbohydrate affect the metabolism of protein-based high-density lipoprotein subspecies

Purpose of review Dietary fat compared to carbohydrate increases the plasma concentration of high-density lipoprotein (HDL)-cholesterol. However, neither the mechanism nor its connection to cardiovascular disease is known. Recent findings Protein-based subspecies of HDL, especially those containing apolipoprotein E (apoE) or apolipoprotein C3 (apoC3), offer a glimpse of a vast metabolic system related to atherogenicity, coronary heart disease (CHD) and other diseases. ApoE stimulates several processes that define reverse cholesterol transport through HDL, specifically secretion of active HDL subspecies, cholesterol efflux to HDL from macrophages involved in atherogenesis, size enlargement of HDL with cholesterol ester, and rapid clearance from the circulation. Dietary unsaturated fat stimulates the flux of HDL that contains apoE through these protective pathways. Effective reverse cholesterol transport may lessen atherogenesis and prevent disease. In contrast, apoC3 abrogates the benefit of apoE on reverse cholesterol transport, which may account for the association of HDL that contains apoC3 with dyslipidemia, obesity and CHD. Summary Dietary unsaturated fat and carbohydrate affect the metabolism of protein-defined HDL subspecies containing apoE or apoC3 accelerating or retarding reverse cholesterol transport, thus demonstrating new mechanisms that may link diet to HDL and to CHD.
Testing Bridges by Using Tiltmeter Measurements

An efficient numerical procedure based on the cubic spline technique is developed to obtain the vertical displacements of the bridge deck using the slope values measured at selected points under the test loading. Most static load tests of bridges are performed to evaluate the stiffness characteristics of bridge structures or to check the accuracy of their computer models. From this standpoint, vertical displacements of the bridge under certain loads have a crucial importance. However, if the bridge is over a river, a lake, muddy ground, or a major highway, conventional displacement transducers cannot be used appropriately for this purpose. Furthermore, strong wind and the bridge’s height badly affect the accuracy of the transducers. Another way to obtain bridge deflection is to use an indirect method. Tiltmeters, which have been increasingly used for construction monitoring and structural testing of bridges, are suitable devices in terms of indirect deflection measurements because of their characteristics such as high sensitivity, easy installation, and small electrical drift. The testing and evaluation procedure developed was applied on a real bridge, and the results indicated that this method could be applied to obtain vertical displacements of bridges as an alternative to the use of conventional displacement transducers.
Influence of shift work on rest-activity rhythms, sleep quality, and fatigue of female nurses

ABSTRACT Female nurses working rotating shifts must change their daily routines often, which affects their biological circadian rhythms and could cause sleep disorders and fatigue. The objective of this study was to compare the sleep-wake rhythms, sleep quality, and fatigue of female nurses working rotating shifts and fixed day shifts and to analyze the factors that influence their fatigue. Participants comprised a shift worker group of 101 nurses and a day worker group of 76 nurses. Following the collection of basic information of the nurses and their scores in the various constructs of the Pittsburg Sleep Quality Index (PSQI) and the Checklist Individual Strength (CIS) questionnaire, each nurse wore an actigraph for seven consecutive days to collect for analysis the sleep-wake rhythm parameter dichotomy index (I < O) and durations of continuous sleep and wake. Multivariable linear regression was then used to determine whether the influence of various variables on fatigue differed between the two groups. Results revealed that the sleep-wake rhythm parameter I < O of the day worker group was significantly higher than that of the shift worker group (t = 5.08, p < .001). The shift worker group exhibited significantly higher PSQI global scores (t = −2.00, p = .047), longer total sleep time (t = 2.07, p = .040), poorer habitual sleep efficiency (t = −3.06, p = .003), and greater use of sleeping medication (t = −2.90, p = .004) than did the day worker group. Multivariable linear regression was performed to analyze the important predictors of the CIS score in the two groups with body mass index, age, work experience, marital status, educational background, department of employment, shift type at the time of recruitment, sleep-wake rhythm parameter I < O, and quality of sleep as independent variables. Results indicated that in the shift worker group, the overall explanatory power (R2 ) of the multivariable linear regression model was 22.9% (F = 3.01, p = .003), and only the PSQI global score (β = 0.33, p = .003) influenced the CIS score. In the day worker group, the various variables did not influence the CIS score in the multivariable linear regression model. Although the female nurses working rotating shifts spent more time in bed, their sleep-wake rhythms and sleep quality were poorer than those of the day worker group. Furthermore, the sleep quality of female nurses in the shift worker group had a significant impact on their fatigue. In other words, for female nurses who must work rotating shifts, sleep quality determines whether fatigue can be reduced. The shift-working nurses themselves should implement sleep management, such as avoiding disruptions to their sleep-wake rhythm and improving sleep quality, which should be effective strategies to reduce fatigue.
Cerebrospinal Fluid from Healthy Pregnant Women Does Not Harbor a Detectable Microbial Community

The microbiome is prevalent throughout human bodies, with profound health implications. However, it remains unclear whether it is present and active in human CSF, which has been long considered aseptic due to the blood-brain barrier. ABSTRACT Cerebrospinal fluid (CSF) circulating in the human central nervous system has long been considered aseptic in healthy individuals, because normally, the blood-brain barrier can protect against microbial invasions. However, this dogma has been called into question by several reports that microbes were identified in human brains, raising the question of whether there is a microbial community in the CSF of healthy individuals without neurological diseases. Here, we collected CSF samples and other samples, including one-to-one matched oral and skin swab samples (positive controls), from 23 pregnant women aged between 23 and 40 years. Normal saline samples (negative controls), sterile swabs, and extraction buffer samples (contamination controls) were also collected. Twelve of the CSF specimens were also used to evaluate the physiological activities of detected microbes. Metagenomic and metatranscriptomic sequencing was performed in these 116 specimens. A total of 620 nonredundant microbes were detected, which were dominated by bacteria (74.6%) and viruses (24.2%), while in CSF samples, metagenomic sequencing found only 26 nonredundant microbes, including one eukaryote, four bacteria, and 21 viruses (mostly bacteriophages). The beta diversity of microbes compared between CSF metagenomic samples and other types of samples (except negative controls) was significantly different from that of the CSF self-comparison. In addition, there was no active or viable microbe in the matched metagenomic and metatranscriptomic sequencing of CSF specimens after subtracting those also found in normal saline, DNA extraction buffer, and skin swab specimens. In conclusion, our results showed no strong evidence of a colonized microbial community present in the CSF of healthy individuals. IMPORTANCE The microbiome is prevalent throughout human bodies, with profound health implications. However, it remains unclear whether it is present and active in human CSF, which has been long considered aseptic due to the blood-brain barrier. Here, we applied unbiased metagenomic and metatranscriptomic sequencing to detect the presence of a microbiome in CSF collected from 23 pregnant women with matched controls. Analysis of 116 specimens found no strong evidence to support the presence of a colonized microbiome in CSF. Our findings will strengthen our understanding of the internal environment of the CSF in healthy people, which has strong implications for human health, especially for neurological infections and disorders, and will help further disease diagnostics, prevention, and therapeutics in clinical settings.
Risk factors for full-thickness rotator cuff tears: a systematic review and meta-analysis

Rotator cuff tears are a common condition of the shoulder, and 20.7% of people with the condition have a full-thickness rotator cuff tear. The purpose of this study was to explore the risk factors for full-thickness rotator cuff tears and to provide evidence to support the accurate diagnosis of full-thickness rotator cuff tears. Studies from PubMed, Embase and Web of Science published before 30 January 2021 were retrieved. All cohort studies and cross-sectional studies on risk factors for full-thickness rotator cuff tears were included. A meta-analysis was performed in RevMan 5.3 to calculate the relative risks (RRs) or weighted mean differences (WMDs) of related risk factors. Stata 15.1 was used for the quantitative analysis of publication bias. In total, 11 articles from six countries, including 4047 cases, with 1518 cases and 2529 controls, were included. The meta-analysis showed that age (MD = 0.76, 95% CI: 0.24 to 1.28, P = 0.004), hypertension (RR = 1.46, 95% CI: 1.17 to 1.81, P = 0.0007) and critical shoulder angle (CSA) (MD = 2.02, 95% CI: 1.55 to 2.48, P < 0.00001) were risk factors for full-thickness rotator cuff tears. Our results also suggested that body mass index, sex, dominant hand, smoking, diabetes mellitus and thyroid disease were not risk factors for full-thickness rotator cuff tears. Early identification of risk factors for full-thickness rotator cuff tears is helpful in identifying high-risk patients and choosing the appropriate treatment. Cite this article: EFORT Open Rev 2021;6:1087-1096. DOI: 10.1302/2058-5241.6. 210027
Biomarkers in the clinical management of patients with atrial fibrillation and heart failure

Atrial fibrillation (AF) and heart failure (HF) are two cardiovascular diseases with an increasing prevalence worldwide. These conditions share common pathophysiologiesand frequently co-exit. In fact, the occurrence of either condition can ‘cause’ the development of the other, creating a new patient group that demands different management strategies to that if they occur in isolation. Regardless of the temproral association of the two conditions, their presence is linked with adverse cardiovascular outcomes, increased rate of hospitalizations, and increased economic burden on healthcare systems. The use of low-cost, easily accessible and applicable biomarkers may hasten the correct diagnosis and the effective treatment of AF and HF. Both AF and HF effect multiple physiological pathways and thus a great number of biomarkers can be measured that potentially give the clinician important diagnostic and prognostic information. These will then guide patient centred therapeutic management. The current biomarkers that offer potential for guiding therapy, focus on the physiological pathways of miRNA, myocardial stretch and injury, oxidative stress, inflammation, fibrosis, coagulation and renal impairment. Each of these has different utility in current clinincal practice.
Brain tumors and circulating micrornas: a systematic review and diagnostic meta-analysis

ABSTRACT Purpose Brain tumors (BT) are among the most prevalent cancers in recent years. Various studies have examined the diagnostic role of microRNAs in different diseases; however, their diagnostic role in BT has not been comprehensively investigated. This meta-analysis was performed to assess microRNAs in the blood of patients with BTs accurately. Methods Twenty-six eligible studies were included for analysis. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under curve (AUC), Q*index, summary receiver-operating characteristic (SROC) were assessed using the Meta-Disc V.1. 4 and Comprehensive Meta-Analysis V.3. 3 software. Results The diagnostic accuracy of microRNA was high in identifying BT based on the pooled sensitivity 0.82 (95%CI: 0.816–0.84), specificity 0.82 (95%CI: 0.817–0.84), PLR 5.101 (95%CI: 3.99–6.51), NLR 0.187 (95%CI: 0.149–0.236), DOR 34.07 (95%CI: 22.56–51.43) as well as AUC (0.92), and Q*-index (0.86). Subgroup analyses were performed for sample types (serum/plasma), reference genes (RNU6, miR-39, and miR-24), and region to determine the diagnostic power of microRNAs in the diagnosis of BT using pooled sensitivity, specificity, PLR, NLR, AUC, and DOR. Conclusion This meta-analysis suggested that circulating microRNAs might be potential markers for noninvasive early detection of BT. Graphical abstract
Personality profile and therapeutic response to lithium carbonate and sodium valproate in mania with psychotic features

Bipolar disorder is one of the major psychiatric disorders. Therefore, determining the factors that predict mood stabilizer response is important. This study aimed to investigate the relationship between personality profile and the response to lithium carbonate and sodium valproate in patients with psychotic mania. In this study, 50 patients with bipolar I disorder (manic episode with psychotic features) were randomly assigned to receive lithium carbonate (up to a serum level of 0.8-1.5 mEq/L) or sodium valproate (20 mg/kg). After stabilization of acute manic phase, Temperament and Character Inventory was completed by the patients themselves. Fifty subjects completed this study. The mean age ± SD of participants in the sodium valproate group and lithium carbonate group was 32.99 ± 9.94 and 30.73±7.94 years, respectively. The responders to sodium valproate had significantly higher scores in novelty seeking, harm avoidance (P = 0.003 and 0.004, respectively) and lower scores in persistence (P = 0.006) than the non-responders, but the responders to lithium carbonate did not have significantly different personality profiles. The results of the present study revealed that the personality profiles in the inpatients with psychotic mania are related to the responses to sodium valproate, but are irrelevant to the responses to lithium carbonate.
New control for HVDC system connected to large windfarm

HVDC consisting of self‐commutated inverters is able to be applied for power transmission connecting from a remote large windfarm to a weak AC system. Most self‐commutated HVDC is applied for connection between two AC systems that have synchronous power sources, but it is not suitable for a windfarm that consists of induction generators without synchronous power source. This paper presents new control for the self‐commutated HVDC system connected to a large windfarm of induction generators. The effect of the proposed control is shown by EMTP simulation. ©2008 Wiley Periodicals, Inc. Electr Eng Jpn, 166(4): 31–39, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20539
Neuropsychological and Pet Study of Depersonalization and Derealization: A Single Case Report

The present work depicts the case of a young man suffering from a depersonalization and derealization (DD) disorder, which mainly affects his own body. When the symptoms concern something else, they almost exclusively affect living beings. Neuropsychological and neuropsychiatric studies, as well as functional neuroanatomy studies, have led to hypothesize possible relationships among cognitive-neurofunctional alterations and symptoms of depersonalization and derealization. The present study suggests that a malfunction of the left frontal and prefrontal cortex causes deficits of working memory, producing some of the symptoms of DD.
The Role of Family-wise Error Rate in Determining Statistical Significance

The threshold for statistical significance is determined by the maximum allowable probability of Type I error (α). For studies that test multiple hypotheses or make multiple comparisons, the probability of at least 1 Type I error (family-wise error rate; FWER) increases as the number of hypotheses/comparisons increase. It is generally best practice to set the acceptable threshold for FWER to be less than or equal to α. Bonferroni correction and Tukey honestly significant difference test are 2 of the more common methods to control for FWER. When doing exploratory analysis or evaluating secondary outcomes of a study, it may not be necessary or desirable to control for FWER, which reduces the power of the study. However, deciding to control for FWER should be decided during the design of the study.
Psychosomatic Syndromes and Symptom Severity in Chronic Psoriasis

Objective To investigate whether and the extent to which psychosomatic syndromes and psychopathology are associated to psoriasis severity. Method Consecutive 282 outpatients with chronic psoriasis were assessed for psychopathology (with the Mini International Neuropsychiatric Interview), psychosomatic conditions (with the Diagnostic Criteria for Psychosomatic Research, DCPR), severity of psoriatic symptoms (with the Psoriasis Area and Severity Index, PASI), and illness-related quality of life (with the Dermatology Life Quality Index, DLQI). Results Psychopathology was diagnosed in 26.6% patients while at least one DCPR syndrome in 67% of them and higher psychosomatic severity (>1 DCPR syndrome) in 29.1%. Higher symptom severity (PASI>20) was significantly more prevalent in patients with greater psychosomatic severity (29.1%) (d=1.25) – particularly, alexithymia (29.4%; d=0.83) – and poorer quality of life (DLQI>10) (d=0.86). Furthermore, after controlling for psychopathology, psychosomatic severity, and alexithymia, together with lower illness-related quality of life, independently predicted severity of symptoms, with large effect size (d=0.78 and d=1.75, respectively). Conclusions DCPR clusters can be suggested as a useful tool for identifying psychological distress in psoriasis, significantly linked to both subjective (quality of life) and objective factors (severity of lesions and extension of affected skin areas) of the illness experience.