Mutation of novel ethanol-responsive lncRNA Gm41261 impacts ethanol-related behavioral responses in mice.

Chronic alcohol exposure results in widespread dysregulation of gene expression that contributes to the pathogenesis of Alcohol Use Disorder (AUD). Long noncoding RNAs are key regulators of the transcriptome that we hypothesize coordinate alcohol-induced transcriptome dysregulation and contribute to AUD. Based on RNA-Sequencing data of human prefrontal cortex, basolateral amygdala and nucleus accumbens of AUD versus non-AUD brain, the human LINC01265 and its predicted murine homolog Gm41261 (i.e., TX2) were selected for functional interrogation. We tested the hypothesis that TX2 contributes to ethanol drinking and behavioral responses to ethanol. CRISPR/Cas9 mutagenesis was used to create a TX2 mutant mouse line in which 306 base-pairs were deleted from the locus. RNA analysis revealed that an abnormal TX2 transcript was produced at an unchanged level in mutant animals. Behaviorally, mutant mice had reduced ethanol, gaboxadol and zolpidem-induced loss of the righting response and reduced tolerance to ethanol in both sexes. In addition, a male-specific reduction in two-bottle choice every-other-day ethanol drinking was observed. Male TX2 mutants exhibited evidence of enhanced GABA release and altered GABAA receptor subunit composition in neurons of the nucleus accumbens shell. In C57BL6/J mice, TX2 within the cortex was cytoplasmic and largely present in Rbfox3+ neurons and IBA1+ microglia, but not in Olig2+ oligodendrocytes or in the majority of GFAP+ astrocytes. These data support the hypothesis that TX2 mutagenesis and dysregulation impacts ethanol drinking behavior and ethanol-induced behavioral responses in mice, likely through alterations in the GABAergic system.

Geometry and evolution of Hasimoto surface in Minkowski 3-space.

The main goal of this paper is to introduce the evolution equations for a timelike Hasimoto surface from its fundamental form coefficients in Minkowski 3-space [Formula: see text]. By utilizing the evolved quasi-curve (q-curve), we present and analyze three types of Hasimoto surfaces, attributed to the quasi-tangent, quasi-normal, and quasi-binormal vectors of the curve. Finally, we provide an illustrated example to strengthen our main results.

Estimating atmospheric radon deviation using statistical coefficients: Sulaymaniyah city, Iraq, as a case of study.

The authors studied the atmospheric radon concentration with associated meteorological parameters variation during the dust events from July to November 2017. We obtained the meteorological parameters data in weather station of Sulaymaniyah city, Iraq. In the environmental monitoring plan, the atmospheric radon fluctuated from 15 to 48 Bq m-3 around the mean value of 31.5 ± 7 Bq m-3 within the summer. In autumn, varied from 22 to 46 Bq m-3 with a mean value of 34 ± 12 Bq m-3. We employed this to determine the radon level anomalously. Using the modified statistical coefficients, such as the residual deviation (RD), residual fluctuation ratio (RFR), F-test, and p-value coefficients. Among the atmospheric radon fluctuation values, particularly one anomalous (42 Bq m-3) on 25 July was determined because the excessive value of the RD was 1.9 σ, and the RFR value was 66 %. Corresponding to our coefficients criteria, the minimum level of atmospheric radon (22 Bq m-3) does not consider anomalous because of increasing wind speed. Based on this, our method for determining the atmospheric radon anomalies that are influenced by the missed factors beyond the mentioned meteorological parameters is accurate.

A New Power Topp-Leone distribution with applications to engineering and industry data.

We introduced a brand-new member of the family that is going to be referred to as the New Power Topp-Leone Generated (NPTL-G). This new member is one of a kind. Given the major functions that created this new member, important mathematical aspects are discussed in as much detail as possible. We derived some functions for the new one, included the Rényi entropy, the qf, series development, and moment weighted probabilities. Moreover, to estimate the values of the parameters of our model that were not known, we employed the maximum likelihood technique. In addition, two actual datasets from the real world were investigated in order to bring attention to the possible applications of this novel distribution. This new model performs better than three key rivals based on the measurements that were collected.

MYELOPEROXIDASE AND COENZYME Q10 MODULATED IN THE CHRONIC KIDNEY DISEASE PATIENTS.

Kidney failure, also known as end-stage kidney disease, is a medical condition in which the kidneys are functioning at less than 15% of normal. Kidney failure is classified as either acute kidney failure, which develops rapidly and may resolve; and chronic kidney failure, which develops slowly. Diagnosis of chronic failure is based on a glomerular filtration rate (GFR) of less than 15 or the need for renal replacement therapy. It is also equivalent to stage 5 chronic kidney disease.The study aimed to evaluate the role of MPO and Co Q10 in different stages of CKD, and correlates this parameter with urea, Cr, Na, K, and eGFR.A Case-control study is carried out in Baghdad in the Imamian Kadhimian Medical City and Al-Karamah Teaching Hospital between August 2022 and March 2023. The number of CKD males under study were 60 male whose ages were between 25 to 50 years old. In addition, the control group consisted of 30 healthy volunteer males aged between 25 to 50 years and they did not have any diseases. Blood samples were collected from each male for measurement of Myeloperoxidase (MPO), and Coenzyme Q10 by Enzyme-linked immunosorbent assay (ELISA). The study showed that the reduced mean level of myeloperoxidase (p<0.001) in the patient's group compared with the control group, (19.9±6.82 ng/ml) and (42.4±4.98 ng/ml) respectively. Our study revealed that with increasing CKD stage, the myeloperoxidase levels decrease. Also, the reduced mean level of Coenzyme Q10 was 2.97±0.511 ng/ml in the patient group was highly significant than the control group's 7.07±2.41 ng/ml (p<0.001). Our study revealed that with increasing CKD stage, the coenzyme Q10 levels decrease. The study found a positive correlation of serum myeloperoxidase with coenzyme Q10 in CKD patients.

Novel Type I Half Logistic Burr-Weibull Distribution: Application to COVID-19 Data.

In this work, we presented the type I half logistic Burr-Weibull distribution, which is a unique continuous distribution. It offers several superior benefits in fitting various sorts of data. Estimates of the model parameters based on classical and nonclassical approaches are offered. Also, the Bayesian estimates of the model parameters were examined. The Bayesian estimate method employs the Monte Carlo Markov chain approach for the posterior function since the posterior function came from an uncertain distribution. The use of Monte Carlo simulation is to assess the parameters. We established the superiority of the proposed distribution by utilising real COVID-19 data from varied countries such as Saudi Arabia and Italy to highlight the relevance and flexibility of the provided technique. We proved our superiority using both real data.

A Flexible Bayesian Parametric Proportional Hazard Model: Simulation and Applications to Right-Censored Healthcare Data.

Survival analysis is a collection of statistical techniques which examine the time it takes for an event to occur, and it is one of the most important fields in biomedical sciences and other variety of scientific disciplines. Furthermore, the computational rapid advancements in recent decades have advocated the application of Bayesian techniques in this field, giving a powerful and flexible alternative to the classical inference. The aim of this study is to consider the Bayesian inference for the generalized log-logistic proportional hazard model with applications to right-censored healthcare data sets. We assume an independent gamma prior for the baseline hazard parameters and a normal prior is placed on the regression coefficients. We then obtain the exact form of the joint posterior distribution of the regression coefficients and distributional parameters. The Bayesian estimates of the parameters of the proposed model are obtained using the Markov chain Monte Carlo (McMC) simulation technique. All computations are performed in Bayesian analysis using Gibbs sampling (BUGS) syntax that can be run with Just Another Gibbs Sampling (JAGS) from the R software. A detailed simulation study was used to assess the performance of the proposed parametric proportional hazard model. Two real-survival data problems in the healthcare are analyzed for illustration of the proposed model and for model comparison. Furthermore, the convergence diagnostic tests are presented and analyzed. Finally, our research found that the proposed parametric proportional hazard model performs well and could be beneficial in analyzing various types of survival data.

Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.

Medical costs are one of the most common recurring expenses in a person's life. Based on different research studies, BMI, ageing, smoking, and other factors are all related to greater personal medical care costs. The estimates of the expenditures of health care related to obesity are needed to help create cost-effective obesity prevention strategies. Obesity prevention at a young age is a top concern in global health, clinical practice, and public health. To avoid these restrictions, genetic variants are employed as instrumental variables in this research. Using statistics from public huge datasets, the impact of body mass index (BMI) on overall healthcare expenses is predicted. A multiview learning architecture can be used to leverage BMI information in records, including diagnostic texts, diagnostic IDs, and patient traits. A hierarchy perception structure was suggested to choose significant words, health checks, and diagnoses for training phase informative data representations, because various words, diagnoses, and previous health care have varying significance for expense calculation. In this system model, linear regression analysis, naive Bayes classifier, and random forest algorithms were compared using a business analytic method that applied statistical and machine-learning approaches. According to the results of our forecasting method, linear regression has the maximum accuracy of 97.89 percent in forecasting overall healthcare costs. In terms of financial statistics, our methodology provides a predictive method.

Application of the LINEX Loss Function with a Fundamental Derivation of Liu Estimator.

For a variety of well-known approaches, optimum predictors and estimators are determined in relation to the asymmetrical LINEX loss function. The applications of an iteratively practicable lowest mean squared error estimation of the regression disturbance variation with the LINEX loss function are discussed in this research. This loss is a symmetrical generalisation of the quadratic loss function. Whenever the LINEX loss function is applied, we additionally look at the risk performance of the feasible virtually unbiased generalised Liu estimator and practicable generalised Liu estimator. Whenever the variation σ 2 is specified, we get all acceptable linear estimation in the class of linear estimation techniques, and when σ 2 is undetermined, we get all acceptable linear estimation in the class of linear estimation techniques. During position transformations, the proposed Liu estimators are stable. The estimators' biases and hazards are calculated and evaluated. We utilize an asymmetrical loss function, the LINEX loss function, to calculate the actual hazards of several error variation estimators. The employment of δ P (σ), which is easy to use and maximin, is recommended in the conclusions.

Objective Assessment of Covid-19 Severity Affecting the Vocal and Respiratory System Using a Wearable, Autonomous Sound Collar.

Introduction: Since the outbreak began in January 2020, Covid-19 has affected more than 161 million people worldwide and resulted in about 3.3 million deaths. Despite efforts to detect human infection with the virus as early as possible, the confirmatory test still requires the analysis of sputum or blood with estimated results available within approximately 30 minutes; this may potentially be followed by clinical referral if the patient shows signs of aggravated pneumonia. This work aims to implement a soft collar as a sound device dedicated to the objective evaluation of the pathophysiological state resulting from dysphonia of laryngeal origin or respiratory failure of inflammatory origin, in particular caused by Covid-19. Methods: In this study, we exploit the vibrations of waves generated by the vocal and respiratory system of 30 people. A biocompatible acoustic sensor embedded in a soft collar around the neck collects these waves. The collar is also equipped with thermal sensors and a cross-data analysis module in both the temporal and frequency domains (STFT). The optimal coupling conditions and the electrical and dimensional characteristics of the sensors were defined based on a mathematical approach using a matrix formalism. Results: The characteristics of the signals in the time domain combined with the quantities obtained from the STFT offer multidimensional information and a decision support tool for determining a pathophysiological state representative of the symptoms explored. The device, tested on 30 people, was able to differentiate patients with mild symptoms from those who had developed acute signs of respiratory failure on a severity scale of 1 to 10. Conclusion: With the health constraints imposed by the effects of Covid-19, the heavy organization to be implemented resulting from the flow of diagnostics, tests and clinical management, it was urgent to develop innovative and safe biomedical technologies. This passive listening technique will contribute to the non-invasive assessment and dynamic observation of lesions. Moreover, it merits further examination to provide support for medical operators to improve clinical management. Supplementary Information: The online version contains supplementary material available at 10.1007/s12195-021-00712-w.

A New Transmuted Generalized Lomax Distribution: Properties and Applications to COVID-19 Data.

A new five-parameter transmuted generalization of the Lomax distribution (TGL) is introduced in this study which is more flexible than current distributions and has become the latest distribution theory trend. Transmuted generalization of Lomax distribution is the name given to the new model. This model includes some previously unknown distributions. The proposed distribution's structural features, closed forms for an rth moment and incomplete moments, quantile, and Rényi entropy, among other things, are deduced. Maximum likelihood estimate based on complete and Type-II censored data is used to derive the new distribution's parameter estimators. The percentile bootstrap and bootstrap-t confidence intervals for unknown parameters are introduced. Monte Carlo simulation research is discussed in order to estimate the characteristics of the proposed distribution using point and interval estimation. Other competitive models are compared to a novel TGL. The utility of the new model is demonstrated using two COVID-19 real-world data sets from France and the United Kingdom.

Economic Order Quantity Model with Weibull Distributed Deterioration under a Mixed Cash and Prepayment Scheme.

Two distinct inventory models are investigated for a deteriorating item under the frequency of advertisement and market price-sensitive aggregate demand where the deterioration percentage complies with Weibull distribution. In one model, the stock-out environment is not studied, while another one handles the stock-out situation by moderately backordering based upon the waiting time duration for the products. Advance payment, another realistic feature, is implemented by paying off a fraction of the acquisition cost amid single or many equal segments from the order placing moment to receiving moment whereas the remaining fraction is accomplished at the order delivery instant by the practitioner to the supplier. The utmost aim is computing the inventory policy along with the market price and marketing strategy to reach the highest total profit for both models. The models formulated here extend several inventory studies previously developed in the literature and suggest several important outcomes. This makes two exceedingly nonlinear and mixed-integer optimization problems, which are elucidated by constructing two efficacious algorithms. Two numerical illustrations are accomplished to perceive the working competence of the algorithms and the consequences of the parameters on the practitioner's optimal policy are highlighted in a tabular form executing a sensitivity examination. Based on the performed analyses, finally, some decision-making salient findings are obtained.

Effect of mesenchymal stem cells versus aloe vera on healing of deep second-degree burn.

BACKGROUND: Burn injuries constitute a major health problem which cause more severe physiological stress than other traumas. Aloe vera has been used in traditional medicine for a long time for burn treatment. Mesenchymal stem cells (MSCs) have delivered new approaches to the management of deep burns. The present study assessed the effect of aloe vera versus MSCs on experimentally induced deep second-degree burn. METHODS: Sixty adult female albino rats randomized into 6 groups: group I served as negative control, group II received topical aloe vera only, group III were injected intradermally with MSCs, group IV subjected to burn injury, group V received topical aloe vera post burn and group VI were injected intradermally with MSCs post burn. Healing of burn injury was evaluated grossly. Skin specimens were obtained after 14 & 21-days post-burn induction and prepared for histological techniques (H&E and Masson's trichrome stain). Polymerase chain reaction (PCR) analysis of Sry gene for group VI was done. RESULTS: After 14 days, groups V&VI showed fully regenerated epidermis with a significant increase in the epidermal thickness and a significant decrease in the optical density of collagen fibers compared to control groups. After 21 days, group V showed less epidermal thickness compared to that of day 14 and nearly normal collagen fibers arrangement. However, group VI showed a significant increase in the epidermal thickness compared to groups V&I and an interwoven collagen fibers arrangement with a significant decrease in the optical density of collagen fibers in comparison to control groups. PCR results of the tested samples revealed that 100% of the recipient rats contain Sry positive gene. CONCLUSIONS: Topical aloe vera promoted burn wound healing faster and better than intradermal injection of MSCs.

The Oleaster (Elaeagnus angustifolia): A Comprehensive Review on Its Composition, Ethnobotanical and Prebiotic Values>.

BACKGROUND: Oleaster or Elaeagnus angustifolia is a deciduous plant from Elaegnacea family and is well-known for its remedial applications. OBJECTIVE: This paper presents a comprehensive review of the potential application of Oleaster's flour incorporated in some food products. Emphasis is given to the physicochemical, biochemical, and functional properties of Oleaster's flour. METHODS: A comprehensive search was carried out to find publications on Oleaster's flour and its application as a prebiotic. The results of the related studies were extracted and summarized in this paper. RESULTS: Oleaster's flour as a prebiotic ingredient enhances antioxidants, polyphenols, fiber, flavonoids, Sterols, carbohydrates, and protein content of food products. CONCLUSION: Further advanced investigations on Oleaster and its functional ingredients revealed that these are efficacious and can be applied as a substitute source in pharmacological industries for medical applications.

Dual opposing actions of STW 5 on TRP receptors mediate neuronal desensitisation in vitro.

AIMS: STW 5 is an herbal drug combination used for the treatment of functional gastrointestinal disorders (FGIDs) with visceral hypersensitivity as the therapy-resistant hallmark. STW 5 has been clinically proven to alleviate visceral hypersensitivity-related symptoms, including abdominal pain, bloating, nausea, and early satiety. However, the molecular and cellular mechanisms underlying the antinociceptive action of STW 5 remain unknown. Here, we investigate the role of STW 5 in the calcium mobilisation of dorsal root ganglion (DRG) sensory neurons. MAIN METHODS: Calcium imaging experiments were performed with freshly dissociated cultured murine DRG neurons isolated from mice by microfluorometry. TRPA1-deficient DRGs, TRPV1-deficient DRGs, TRPA1/V1 double-deficient DRGs, and wild-type DRGs have been used to investigate the role of TRPs ion channels in mediating STW 5 action. KEY FINDINGS: STW 5 (1.74 and 5.8 mg/ml) induced calcium ion influx into DRG neurons in a concentration-dependent manner. Calcium transients were desensitised during repeated exposure to STW 5, an effect that was facilitated in TRPA1-deficient DRGs and less pronounced in TRPV1-deficient DRGs compared to wild-type (WT) DRGs. SIGNIFICANCE: Repeated exposure to STW 5 induced desensitisation of sensory neurons and may ultimately contribute to its proven clinical efficacy against sensory-related symptoms in patients with FGID, including abdominal pain, bloating, nausea, and early satiety. This effect is modulated by the two prominent irritant sensors in nociceptors, TRPA1 and TRPV1.

Potential Pharmaceutical and Food Applications of Postbiotics: A Review.

In recent decades, functional foods with ingredients comprising probiotics, prebiotics and postbiotics have been gaining a lot of attention from scientists. Probiotics and postbiotics are usually applied in pharmaceutical formulations and/or commercial food-based products. These bioactive agents can be associated with host eukaryotic cells and have a key role in maintaining and restoring host health. The review describes the concept of postbiotics, their quality control and potential applications in pharmaceutical formulations and commercial food-based products for health promotion, prevention of disease and complementary treatment. Despite the effectiveness of probiotic products, researchers have introduced the concept of postbiotic to optimize their beneficial effects as well as to meet the needs of consumers to provide a safe product. The finding of recent studies suggests that postbiotics might be appropriate alternative agents for live probiotic cells and can be applied in medical, veterinary and food practice to prevent and to treat some diseases, promote animal health status and develop functional foods. Presently scientific literature confirms that postbiotics, as potential alternative agents, may have superiority in terms of safety relative to their parent live cells, and due to their unique characteristics in terms of clinical, technological and economical aspects, can be applied as promising tools in the drug and food industry for developing health benefits, and therapeutic aims.

Correction to: "Enoxaparin prevents fibrin accumulation in liver tissues and attenuates methotrexate-induced liver injury in rats".

The authors found a mistake in Figure 2 and would like to correct the manuscript.

Effect of Various Bulk Sweeteners on the Survivability of Lactobacillus casei 431 in Milk Chocolate: Rheological and Sensory Properties Analysis.

BACKGROUND: Probiotics are the most widely consumed functional food. Consumers demand the production of foods also in low-calorie forms. OBJECTIVE: In this study, Lactobacillus casei 431 and various sweeteners were used in milk chocolate as probiotic and bulking agents, respectively. METHODS: Samples were prepared by using sucrose or optimum polyols combination. Chocolate samples were stored at two temperatures (4°C and 20°C) for 180 days and the viability of probiotic cells was controlled with the purpose of specifying the presented storage temperature. RESULTS: The highest probiotic viability was determined in the samples produced with sucrose and stored at 4°C. The cell counts were retained at the functional amount after maintenance for 6 months. Probiotic sucrose-free chocolate was more viscous than control chocolate, although displayed satisfactory sensory attributes. CONCLUSION: As a result, the sugared and sugar-free probiotic milk chocolates could be stored at room temperature. Due to the acceptable number of probiotic cells, the sucrose-free chocolates containing probiotics were considered as functional foods.

Pirfenidone alleviates concanavalin A-induced liver fibrosis in mice.

AIMS: Liver fibrosis (LF) is a life-threatening complication of most chronic liver diseases resulting from a variety of injurious agents and hepatotoxic insults. To date, there are no specific therapies for LF, and all the currently available drugs have been developed for other indications. Thus, there is a pressing need to develop new drugs for treatment of LF. Therefore, the current study aimed to elucidate the potential antifibrotic effect of Pirfenidone (PFD) against concanavalin A (ConA)-induced immunological model of liver fibrosis in mice. MAIN METHODS: Hepatic fibrosis was induced in mice by injecting ConA (10 mg/kg/wk./i.v) for 4 weeks. Then, the mice were treated with or without PFD (125 mg/kg/ip/day) for 2 weeks. Hepatic fibrosis was determined by Masson Trichrome staining; Haematoxylin & eosin (H&E) staining, immunohistochemistry staining of type II and IV collagens, and colorimetric assessment of hydroxyprolline (HP) content in the liver tissues. In addition, the expression of α-SMA mRNA was determined by real time RT-PCR. The serum levels of TGF-ß, TNF-α, TIMP-1 and MMP-2 were measured by ELISA. KEY FINDINGS: Treatment with PFD significantly reduced ConA-induced expression of type II and IV collagens, α-SMA mRNA expression, and HP content and decreased inflammatory cells infiltration in hepatic tissues. Furthermore, serum levels of TGF-ß, TNF-α, and TIMP-1 were significantly reduced with concomitant increase in MMP-2 expression. SIGNIFICANCE: Treatment with PFD ameliorates concanavalin A-induced hepatic inflammation and fibrosis in mice. Thus, PFD may represent a promising therapeutic option for hepatic fibrosis and its related complications.

The Internal Cerebral Vein: New Classification of Branching Patterns Based on CTA.

BACKGROUND AND PURPOSE: The internal cerebral vein begins at the foramen of Monro by the union of the thalamostriate and the anterior septal veins. The lateral direct vein is its other major tributary. Numerous researchers have reported differences in internal cerebral vein branching patterns but did not classify them. Hence, the objectives of this study were to evaluate the anatomy of the internal cerebral vein and its primary tributaries and classify them depending on their course patterns using CTA. MATERIALS AND METHODS: Head CTAs of 250 patients were evaluated in this study, in which we identified the number and termination of the anterior septal vein and the lateral direct vein. The course of the lateral direct vein and its influence on the number of thalamostriate veins and their diameters and courses were assessed. The anterior septal vein-internal cerebral vein junctions and their locations in relation to the foramen of Monro also were evaluated. RESULTS: We classified internal cerebral vein branching patterns into 4 types depending on the presence of an extra vessel draining the striatum. Most commonly, the internal cerebral vein continued further as 1 thalamostriate vein (77%). The lateral direct veins were identified in 22% of the hemispheres, and usually they terminated at the middle third of the internal cerebral vein (65.45%). The most common location of the anterior septal vein-internal cerebral vein junction was anterior (57.20%), with the anterior septal vein terminating at the venous angle. CONCLUSIONS: Detailed knowledge of the anatomy of the deep cerebral veins is of great importance in neuroradiology and neurosurgery because iatrogenic injury to the veins may result in basal nuclei infarcts. A classification of internal cerebral vein branching patterns may aid clinicians in planning approaches to the third and lateral ventricles.