Miracle-dz/UniFAR-FTUs huggingface dataset:
Association Between Glycemic Control and Risk of Fracture in Diabetic Patients: A Nested Case-Control Study.

CONTEXT Diabetes mellitus (DM) has been associated with an increased risk of fractures. However, the effect of glycemic control on the risk of fracture is not well understood. OBJECTIVE To evaluate the association between glycemic control and the risk of low-trauma fractures in patients with type 1 DM (T1DM) and type 2 DM (T2DM). DESIGN Nested case-control analysis. SETTING UK-based Clinical Practice Research Datalink. PATIENTS OR OTHER PARTICIPANTS The study population was patients whose T1DM or T2DM had been newly diagnosed between 1995 and 2015. The cases were patients with a low-trauma fracture after DM onset. We matched four controls to each case by age, sex, general practice, fracture date, and DM type and duration. STATISTICAL ANALYSIS Conditional logistic regression analyses were performed, adjusted for covariates, including body mass index, smoking, DM complications and medications. RESULTS The study population included 3329 patients with T1DM and 44,275 patients with T2DM. The median duration between DM onset and fracture date was 4.5 years for both T1DM and T2DM. The risk of fracture was increased in the patients with T1DM with a mean hemoglobin A1c >8.0% (adjusted OR, 1.39; 95% CI, 1.06 to 1.83) compared with those patients with T1DM and a mean hemoglobin A1c ≤7.0%. No such effect was found in the patients with T2DM. Independently of glycemic control, the risk of fracture was elevated in patients with T2DM and the current use of rosiglitazone and pioglitazone. CONCLUSIONS The effect of glycemic control on the risk of low-trauma fracture differs between patients with T1DM and T2DM. Poor glycemic control increased the risk of fractures in patients with T1DM but not in those with T2DM.
Altered leptin, adiponectin, resistin and ghrelin secretion may represent an intrinsic polycystic ovary syndrome abnormality

Abstract The aim of the study was to investigate whether altered adipose tissue secretion of various adipokines is secondary to obesity, hyperandrogenism, and hyperinsulinemia or intrinsic to polycystic ovary syndrome (PCOS). This cross-sectional study included 151 women diagnosed with PCOS by the Rotterdam criteria and 95 healthy women matched by age, body mass index (BMI), and waist-to-hip ratio (WHR). Clinical, biochemical, and hormonal characteristics were assessed. Serum concentrations of ghrelin and adiponectin were found to be significantly lower and concentrations of leptin and resistin significantly higher in women with PCOS than in healthy women matched by age, BMI, and WHR. A PCOS diagnosis made the largest contribution to predicting serum levels of leptin, adiponectin, resistin, and ghrelin in all stepwise multiple regression models, which included PCOS diagnosis, BMI, WHR, luteinizing hormone, total testosterone, free testosterone and homeostatic model assessment of insulin resistance as independent predictors. Leptin, adiponectin, ghrelin and resistin levels may serve as independent biomarkers for the diagnosis of PCOS.
Loss of glucagon signaling alters white adipose tissue browning

Various endocrine factors contribute to cold‐induced white adipose tissue (WAT) browning, but glucagon has largely been ignored. The purpose of the current investigation was to determine if glucagon was required for the effects of cold on WAT browning. Utilizing whole‐body glucagon receptor knockout (Gcgr−/−) mice and their wild‐type (WT) littermate controls, we examined the response of inguinal WAT (iWAT) and interscapular brown adipose tissue (BAT) to an acute (48 h) cold stress or challenge with the β3‐adrenergic agonist CL316,243. The effects of glucagon alone on the induction of thermogenic genes in adipose tissue from C57BL6/J mice were also examined. Gcgr−/− mice displayed modest increases in indices of browning at room temperature while displaying a blunted induction of Ucp1, Cidea, and Ffg21 mRNA expression in iWAT following cold exposure. Similarly, cold induced increases in mitochondrial DNA copy number, and the protein content of mitochondrial respiratory chain complexes, UCP1, and PGC1α were attenuated in iWAT from Gcgr−/− mice. In BAT, the induction of thermogenic markers following cold exposure was reduced, but the effect was less pronounced than in iWAT. Glucagon treatment increased the expression of thermogenic genes in both iWAT and BAT of C57BL6/J mice. In response to CL316,243, circulating fatty acids, glycerol, and the phosphorylation of hormone‐sensitive lipase were attenuated in iWAT of Gcgr−/− mice. We provide evidence that glucagon is sufficient for the induction of thermogenic genes in iWAT, and the absence of intact glucagon signaling blunts the cold‐induced browning of WAT, possibly due, in part, to impaired adrenergic signaling. —Townsend, L. K. , Medak, K. D. , Knuth, C. M. , Peppier, W. T. , Charron, M. J., Wright, D. C. Loss of glucagon signaling alters white adipose tissue browning. FASEB J. 33, 4824–4835 (2019). www.f asebj.org
Severe Lesions Involving Cortical Cholinergic Pathways Predict Poorer Functional Outcome in Acute Ischemic Stroke

Background and Purpose— The aim of the study was to assess the effect of lesion severity in cortical cholinergic pathways in acute ischemic stroke patients on functional outcomes. Methods— The study sample consisted of 214 men (70.9%) and 88 women (29.1%) with acute ischemic stroke. We used the Cholinergic Pathways Hyperintensities Scale (CHIPS) to assess the severity of lesions in cortical cholinergic pathways using brain magnetic resonance imaging. The other magnetic resonance imaging parameters included infarction, white matter lesions, and medial temporal lobe atrophy. Functional outcome was assessed using the Lawton activities of daily living (ADL) scale at 3 and 6 months after the index stroke. We also assessed disability status using the modified Rankin Scale. Results— Univariate analysis showed that patients with poor functional outcomes were older, more likely to be men, had a higher National Institutes of Health Stroke Scale (NIHSS) score on admission, and had more frequent histories of previous stroke and infection complications. They also had significantly more frequent cortical infarcts, left subcortical infarcts, a larger infarct volume, more severe medial temporal lobe atrophy, and periventricular hyperintensities, and higher CHIPS scores. In the multiple regression analysis, model 1 showed that age and NIHSS score on admission were significant predictors of poor ADL at 3 months, with an R2 of 45.4% fitting the model. Age, NIHSS score on admission and stroke subtype were also significant predictors of poor ADL at 6 months, with an R2 of 37.9% fitting the model. In model 2, sex, previous stroke, NIHSS score on admission, right cortical infarcts, left subcortical infarcts and CHIPS score were significant predictors for poor ADL at 3 months, with an R2 of 53.5%. NIHSS score on admission, stroke subtype, and CHIPS score were significant predictors for poor ADL at 6 months, with an R2 of 40.2%. After adjustment for confounders, CHIPS score was also a significant predictor for poor modified Rankin Scale, both at 3 and 6 months. Even after removing patients with moderate-to-severe white matter lesions, higher CHIPS scores still correlated with poorer ADL and modified Rankin Scale both at both 3 and 6 months. Conclusions— In patients with acute ischemic stroke, cortical cholinergic pathways impairment is common, and the severity of lesions in the cortical cholinergic pathways may significantly predict a poorer functional outcome. Clinical Trial Registration— URL: http://www.chictr. org.cn/index.aspx. Unique identifier: ChiCTR1800014982.
Applying the Rasch Model: Fundamental Measurement in the Human Sciences, Second Edition

For many researchers, the Rasch model provides a very practical solution to data analysis in the social sciences. This volume contends that Rasch measurement is the model of choice because it is the closest to realizing the sort of objective fundamental measurement so long revered in the physical sciences. Trevor Bond has worked with leading Rasch theoreticians for more than 15 years, advising developmentalists and teachers on how to conduct and interpret Rasch analyses of their own data. After each of his many research presentations, Dr. Bond was asked to recommend a suitable text for those who wish to learn more about Rasch analysis. Unfortunately, the books published to date require a significant knowledge of statistics and not easily accessible to many practicing researchers. This lack of a suitable introductory text is the driving force behind this book. The goals of this authored volume are: * to present an accessible overview of the basic properties and principles of Rasch analysis, that does not require a sophisticated statistical background, * to demonstrate how Rasch analysis can be applied to a number of generic problems encountered by psychologists and educators, and * to prepare readers for performing their own analyses and interpreting the results. This book is ideal for all researchers in the human sciences interested in learning how to actually implement the Rasch model with their own data.
Handling anisotropic conductivities in the EEG forward problem with a symmetric formulation

The electroencephalography (EEG) forward problem, the computation of the electric potential generated by a known electric current source configuration in the brain, is a key step of EEG source analysis. In this problem, it is often desired to model the anisotropic conductivity profiles of the skull and of the white matter. These profiles, however, cannot be handled by standard surface integral formulations and the use of volume finite elements is required. Leveraging on the representation theorem using an anisotropic fundamental solution, this paper proposes a modified symmetric formulation for solving the EEG forward problem by a surface integral equation which can take into account anisotropic conductivity profiles. A set of numerical results is presented to corroborate theoretical treatments and to show the impact of the proposed approach on both canonical and real case scenarios.
Transglutaminase diseases: from biochemistry to the bedside

In humans, 9 members of the transglutaminase (TG) family have been identified, of which 8 [factor XIII (FXIII)A and TG1–TG7] catalyze post‐translational protein‐modifying reactions, and 1 does not (protein 4.2). The TG enzymatic activities considered in our discussion of human disease include deamidation of glutamine (Gln) residues, amine incorporation into Gln residues, and protein crosslinking. Except for TG7, which remains poorly studied, all individual TG members have been correlated with disparate human diseases that arise from either TG function or lack of function. Loss of TG function is associated with numerous orphan diseases that affect a relatively small number of individuals: loss of FXIIIa (transamidase‐activated form) crosslinking leads to defects in blood coagulation in FXIII deficiency; loss of TG1 and TG5 cross linking leads to defects in epidermal cornification in lamellar ichthyosis and acral peeling skin syndrome, respectively; loss of TG3 crosslinking in hair‐cuticle formation leads to uncombable hair syndrome; the predicted loss of TG6 crosslinking leads to spinocerebellar ataxia‐35; and loss of the structural erythrocyte membrane protein, protein 4.2, leads to hereditary spherocytosis type 5. The enzymatic activity of TG2 is involved in the exacerbation of celiac disease and in at least 1 case of hemoglobinopathy, characterized by shortened erythrocyte lifespan. TGs are also autoantigens in a number of immune diseases, resulting in the production of autoantibodies against FXIIIa in acquired FXIII deficiency, TG2 in celiac disease, TG3 in dermatitis herpetiformis, TG4 in autoimmume polyglandular syndrome type 1, and TG6 in gluten axonal neuropathy and gluten ataxia. Much still remains to be learned and confirmed with respect to disease mechanisms, particularly with respect to TG‐related immune diseases, in which development of isozyme‐specific inhibitors may be useful for treatment. —Lorand, L. , Iismaa, S. E. Transglutaminase diseases: from biochemistry to the bedside. FASEB J. 33, 3–12 (2019). www.fasebj. org
Featured Article: Technology Use and Sleep in Adolescents With and Without Attention-Deficit/Hyperactivity Disorder.

OBJECTIVES This study used a multi-informant approach to examine differences in types and rates of technology used by adolescents with and without attention-deficit/hyperactivity disorder (ADHD), associations between technology use and sleep/daytime sleepiness, and whether technology use was differentially related to sleep/daytime sleepiness in adolescents with and without ADHD. METHODS Eighth graders with (n = 162) and without (n = 140) ADHD were recruited. Adolescents completed questionnaires assessing time spent using technology, sleep-wake problems, school-night time in bed, and daytime sleepiness. Parents and teachers reported on adolescents' technology use and daytime sleepiness, respectively. RESULTS Adolescents with ADHD had significantly greater total technology, television/movie viewing, video game, and phone/video chatting use than adolescents without ADHD. Adolescents with ADHD engaged in twice as much daily video game use compared to those without ADHD (61 vs. 31 min). Controlling for medication use, ADHD status, pubertal development, sex, and internalizing symptoms, greater parent- and adolescent-reported technology use was associated with more sleep-wake problems and less time in bed. ADHD status did not moderate the relations between technology use and these sleep parameters. In contrast, ADHD status moderated the association between parent-reported technology use and teacher-reported daytime sleepiness, such that this association was significant only for adolescents with ADHD. CONCLUSIONS Technology use, although more prevalent in adolescents with ADHD, is linked with more sleep problems and reduced school-night sleep duration regardless of ADHD status. Technology use is associated with teacher-rated daytime sleepiness only in adolescents with ADHD. Clinicians should consider technology usage when assessing and treating sleep problems.
Alternative transient states and slow plant community responses after changed flooding regimes

Climate change will have large consequences for flooding frequencies in freshwater systems. In interaction with anthropogenic activities (flow regulation, channel restoration and catchment land‐use) this will both increase flooding and drought across the world. Like in many other ecosystems facing changed environmental conditions, it remains difficult to predict the rate and trajectory of vegetation responses to changed conditions. Given that critical ecosystem services (e.g. bank stabilization, carbon subsidies to aquatic communities or water purification) depend on riparian vegetation composition, it is important to understand how and how fast riparian vegetation responds to changing flooding regimes. We studied vegetation changes over 19 growing seasons in turfs that were transplanted in a full‐factorial design between three riparian elevations with different flooding frequencies. We found that (a) some transplanted communities may have developed into an alternative stable state and were still different from the target community, and (b) pathways of vegetation change were highly directional but alternative trajectories did occur, (c) changes were rather linear but faster when flooding frequencies increased than when they decreased, and (d) we observed fastest changes in turfs when proxies for mortality and colonization were highest. These results provide rare examples of alternative transient trajectories and stable states under field conditions, which is an important step towards understanding their drivers and their frequency in a changing world.
The evolution of body composition in oncology—epidemiology, clinical trials, and the future of patient care: facts and numbers

There is growing interest from the oncology community to understand how body composition measures can be used to improve the delivery of clinical care for the 18.1 million individuals diagnosed with cancer annually. Methods that distinguish muscle from subcutaneous and visceral adipose tissue, such as computed tomography (CT), may offer new insights of important risk factors and improved prognostication of outcomes over alternative measures such as body mass index. In a meta‐analysis of 38 studies, low muscle area assessed from clinically acquired CT was observed in 27.7% of patients with cancer and associated with poorer overall survival [hazard ratio: 1.44, 95% CI: 1.32–1.56]. Therapeutic interventions such as lifestyle and pharmacotherapy that modify all aspects of body composition and reduce the incidence of poor clinical outcomes are needed in patients with cancer. In a meta‐analysis of six randomized trials, resistance training exercise increased lean body mass assessed from dual‐energy X‐ray absorptiometry [mean difference (MD): +1.07 kg, 95% CI: 0.76–1.37; P < 0.001] and walking distance [MD: +143 m, 95% CI: 70–216; P < 0.001] compared with usual care control in patients with non‐metastatic cancer. In a meta‐analysis of five randomized trials, anamorelin (a ghrelin agonist) significantly increased lean body mass [MD: +1.10 kg, 95% CI: 0.35–1.85; P = 0.004] but did not improve handgrip strength [MD: 0.52 kg, 95% CI: −0.09–1.13; P = 0.09] or overall survival compared with placebo [HR: 0.99, 95% CI: 0.85–1.14; P = 0.84] in patients with advanced or metastatic cancer. Early screening to identify individuals with occult muscle loss, combined with multimodal interventions that include lifestyle therapy with resistance exercise training and dietary supplementation combined with pharmacotherapy, may be necessary to provide a sufficient stimulus to prevent or slow the cascade of tissue wasting. Rapid, cost‐efficient, and feasible methods to quantify muscle and adipose tissue distribution are needed if body composition assessment is to be integrated into large‐scale clinical workflows. Fully automated analysis of body composition from clinically acquired imaging is one example. The study of body composition is one of the most provocative areas in oncology that offers tremendous promise to help patients with cancer live longer and healthier lives.
Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

With the development of high-resolution optical sensors, the classification of ground objects combined with multivariate optical sensors is a hot topic at present. Deep learning methods, such as convolutional neural networks, are applied to feature extraction and classification. In this work, a novel deep belief network (DBN) hyperspectral image classification method based on multivariate optical sensors and stacked by restricted Boltzmann machines is proposed. We introduced the DBN framework to classify spatial hyperspectral sensor data on the basis of DBN. Then, the improved method (combination of spectral and spatial information) was verified. After unsupervised pretraining and supervised fine-tuning, the DBN model could successfully learn features. Additionally, we added a logistic regression layer that could classify the hyperspectral images. Moreover, the proposed training method, which fuses spectral and spatial information, was tested over the Indian Pines and Pavia University datasets. The advantages of this method over traditional methods are as follows: (1) the network has deep structure and the ability of feature extraction is stronger than traditional classifiers; (2) experimental results indicate that our method outperforms traditional classification and other deep learning approaches.
Radiation-Induced Malignant Transformation of Preneoplastic and Normal Breast Primary Epithelial Cells

Radiation is used in multiple procedures as a therapeutic and diagnostic tool. However, ionizing radiation can induce mutations in the DNA of irradiated cells, which can promote tumorigenesis. As malignant transformation is a process that takes many years, there are intermediate stages of cells that have initiated the process but have not yet evolved into cancer. The study here aimed to investigate the effect of ionizing radiation on normal and partially transformed human mammary epithelial cells. Breast primary epithelial cells were derived from normal breast tissue from two different donors and modified by transduction with the SV40 small and large T antigen and hTERT genes to obtain partially transformed cells and also with HRAS to completely and experimentally transform them. After exposure to different doses of ionizing radiation, oncogenic features were analyzed by means of an anchorage-independent growth assay and 3D cell culture. The addition of radiation exposure resulted in an increase in the number and size of colonies formed in each of the conditions analyzed and in the reduction of the capacity of partially transformed cells to form properly polarized 3D structures. Moreover, partially transformed cells require lower doses of radiation than healthy cells to enhance anchorage-independent growth capacity. Although cells from different donors have a different degree of sensitivity in the response to radiation, a higher sensitivity to the radiation-induced cell transformation process was observed in those cells that had already initiated the oncogenic process, which require higher doses of radiation to complete the transformation process. Implications: Individuals carrying accumulation of genetic alterations may have an increased susceptibility to radiation-induced neoplastic transformation.
The Role of Saline and Sodium Bicarbonate Preprocedural Hydration to Prevent Mid-term Renal Insufficiency in Patients with Chronic Kidney Disease Undergoing Percutaneous Coronary Intervention

Objective Persistent renal damage (RD) three months after exposure to contrast media is associated with contrast-induced acute kidney injury (CI-AKI) and poor clinical outcomes. Little is known about the role of preprocedural hydration on persistent RD in patients with chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2] undergoing percutaneous coronary intervention (PCI). We therefore examined the use of preprocedural hydration to decrease the incidence of persistent RD. Methods Between 2012 and 2015, 1,230 consecutive patients undergoing PCI, except for patients with an eGFR ≥60 mL/min/1.73 m2, on dialysis, having acute myocardial infarction, or recently having started renin-angiotensin inhibitors, were screened (n=333). Before their index PCI, the 12-h saline group (n=103) received 1 mL/kg/h 0.9% sodium chloride for 12 hours, and the 1-h bicarbonate group (n=63) received 3 mL/kg 154 mEq/L sodium bicarbonate for 1 hour. The control group (n=167) received no pre-procedural hydration. The study outcome of kidney function decline was investigated using the percent-change (%-change) of the calculated creatinine clearance between the baseline value and the lowest value recorded three to six months after index PCI. Results There was less renal function deterioration in the saline group than in the control group, and the bicarbonate group showed deterioration similar to the other groups (%-change; 12-h saline 2.0±11.3% vs. control −5.6±12.6%, p<0.001; vs. 1-h bicarbonate −1.8±14.1%, p=0.18; 1-h bicarbonate vs. control, p=0.14 ANOVA). A multiple regression analysis adjusted for risk factors for persistent RD showed that saline hydration correlated independently with a higher %-change (r=0.262, p<0.001). Conclusion Preprocedural 12-h saline may be better than no preprocedural hydration in preventing mid-term renal insufficiency in CKD patients undergoing PCI.