Phytochemical Screening and Hepatoprotective Effect of Alhagi maurorum Boiss (Leguminosae) Against Paracetamol-Induced Hepatotoxicity in Rabbits

Purpose: To evaluate the hepatoprotective activity of aqueous-ethanol (30:70 %) extract of Alhagi maurorum Boiss. (Leguminosae) whole plant against paracetamol-induced liver injury in experimental rabbits.Methods: Aqueous-ethanol extract of Alhagi maurorum at doses of 250 mg/kg and 500 mg/kg body weight, p.o., was administered for 7 days in paracetamol (2 gm/kg, s.c.) intoxicated rabbits and compared with silymarine (50 mg/kg, p.o.)-treated rabbits. Biochemical parameters, alkaline phosphatase (ALP), serum glutamic oxalacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT) and total bilirubin (TB) levels were recorded to investigate the degree of improvement in the conditions of the rabbits. The liver was removed, washed with normal saline and preserved in 10 % formalin and used in histopathological studies of hepatic architecture by microscopy. Phytochemical screening of the extract was also carried out.Results: The levels of biochemical parameters were increased in paracetamol intoxicated rabbits when compared with the normal group. The extract, at doses of 250 and 500 mg/kg, exhibited significant (p < 0.001) reduction in biochemical parameters (ALP, SGOT, SGPT and TB). Hepatoprotective activity was also confirmed by histopathological findings. Furthermore, the phytochemical profile of the extract revealed the presence of tannins, alkaloids, saponins and flavonoids.Conclusion: These results suggest that Alhagi maurorum extract possesses significant hepatoprotective effect against paracetamol-induced hepatotoxicity and this may be due to the presence of flavonoids and tannins.Keywords: Alhagi maurorum, Hepatoprotective, Paracetamol, Silymarin, Histopatholog

Human papillomavirus genotype distribution among colposcopy diagnosed cervical precancerous lesions

Background: Cervical cancer (CC) is one of the primary causes of gynaecological cancer death. Cervical cancer is the fourth most frequent cancer worldwide, and it is the second most common cancer in Bangladesh. The stage of cervical cancer at diagnosis has a significant impact on survival. Cervical cancer mortality is high in Bangladesh due to late detection and limited management facilities. The aim of the study was to determine the pattern of human papillomavirus (HPV) genotype among colposcopy diagnosed cervical precancerous lesions. Methods: This cross-sectional study was conducted in the department of gynecological oncology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Shahbag, Dhaka. Total of 142 women attending the colposcopy clinic of BSMMU. Results: The mean age was found 38.7±7.3 years with a range from 30 to 60 years. 10 (7.0%) patients were found HPV 16 positive followed by 1 (0.7%) HPV 18, another hr-HPV 3 (2.1%), HPV 16 and other hr-HPV 3 (2.1%) and HPV 16, HPV 18 and other hr-HPV 1 (0.7%). Regarding colposcopy reports 99 (69.7%) patients had CIN I, 33 (23.7%) had CIN II and 10 (7.0%) had CIN III identification by colposcopy reports. 61 (43.0%) patients had CIN I followed by 15 (10.6%) had CIN II, 11 (7.7%) had CIN III, 7 (4.9%) had CIS, and 48 (33.8%) had normal or squamous metaplasia by histopathological reports. Conclusions: It can be concluded that among all the 14 hr-HPV genotype HPV 16 is more prevalent while HPV18 prevalence was very low in colposcopy diagnosed cervical precancer cases. The study revealed HPV16 was more common among high grade lesions

Accretion Flow Dynamics During 1999 Outburst of XTE J1859+226 - Modeling of Broadband Spectra and Constraining the Source Mass

We examine the dynamical behavior of accretion flow around XTE J1859+226 during the 1999 outburst by analyzing the entire outburst data ($\sim$ 166 days) from RXTE Satellite. Towards this, we study the hysteresis behavior in the hardness intensity diagram (HID) based on the broadband ($3 - 150$ keV) spectral modeling, spectral signature of jet ejection and the evolution of Quasi-periodic Oscillation (QPO) frequencies using the two-component advective flow model around a black hole. We compute the flow parameters, namely Keplerian accretion rate (${\dot m}_d$), sub-Keplerian accretion rate (${\dot m}_h$), shock location ($r_s$) and black hole mass ($M_{bh}$) from the spectral modeling and study their evolution along the q-diagram. Subsequently, the kinetic jet power is computed as $L^{\rm obs}_{\rm jet}\sim 3 - 6 \times 10^{37}$ erg~s$^{-1}$ during one of the observed radio flares which indicates that jet power corresponds to $8-16\%$ mass outflow rate from the disc. This estimate of mass outflow rate is in close agreement with the change in total accretion rate ($\sim 14\%$) required for spectral modeling before and during the flare. Finally, we provide a mass estimate of the source XTE J1859+226 based on the spectral modeling that lies in the range of $5.2 - 7.9 M_{\odot}$ with 90\% confidence.Comment: 12 pages, 8 figures, 3 tables, Accepted for publication in Astrophysics and Space Scienc

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19

Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus, is a significant global challenge. Many individuals who become infected may have pre-existing conditions that may interact with COVID-19 to increase symptom severity and mortality risk. COVID-19 patient comorbidities are likely to be informative regarding the individual risk of severe illness and mortality. Determining the degree to which comorbidities are associated with severe symptoms and mortality would thus greatly assist in COVID-19 care planning and provision. To assess this we performed a meta-analysis of published global literature, and machine learning predictive analysis using an aggregated COVID-19 global dataset. Our meta-analysis suggested that chronic obstructive pulmonary disease (COPD), cerebrovascular disease (CEVD), cardiovascular disease (CVD), type 2 diabetes, malignancy, and hypertension as most significantly associated with COVID-19 severity in the current published literature. Machine learning classification using novel aggregated cohort data similarly found COPD, CVD, CKD, type 2 diabetes, malignancy, and hypertension, as well as asthma, as the most significant features for classifying those deceased versus those who survived COVID-19. While age and gender were the most significant predictors of mortality, in terms of symptom–comorbidity combinations, it was observed that Pneumonia–Hypertension, Pneumonia–Diabetes, and Acute Respiratory Distress Syndrome (ARDS)–Hypertension showed the most significant associations with COVID-19 mortality. These results highlight the patient cohorts most likely to be at risk of COVID-19-related severe morbidity and mortality, which have implications for prioritization of hospital resource

The huntingtin inclusion is a dynamic phase-separated compartment

Inclusions of disordered protein are a characteristic feature of most neurodegenerative diseases, including Huntington’s disease. Huntington’s disease is caused by expansion of a polyglutamine tract in the huntingtin protein; mutant huntingtin protein (mHtt) is unstable and accumulates in large intracellular inclusions both in affected individuals and when expressed in eukaryotic cells. Using mHtt-GFP expressed in Saccharomyces cerevisiae, we find that mHtt-GFP inclusions are dynamic, mobile, gel-like structures that concentrate mHtt together with the disaggregase Hsp104. Although inclusions may associate with the vacuolar membrane, the association is reversible and we find that inclusions of mHtt in S. cerevisiae are not taken up by the vacuole or other organelles. Instead, a pulse-chase study using photoconverted mHtt-mEos2 revealed that mHtt is directly and continuously removed from the inclusion body. In addition to mobile inclusions, we also imaged and tracked the movements of small particles of mHtt-GFP and determine that they move randomly. These observations suggest that inclusions may grow through the collision and coalescence of small aggregative particles

Leaching behaviour of pendimethalin causes toxicity towards different cultivars of Brassica juncea and Brassica campestris in sandy loam soil

An experiment was conducted at the farm of Zonal Adaptive Research Station, Uttar Banga Krishi Viswavidhyalaya, Pundibari, Cooch Behar, West Bengal to evaluate the effect of pendimethalin on the yield, weed density and phytotoxicity in different varieties of rai (Brassica juncea) and yellow sarson (B. campestris var. yellow sarson) under higher soil moisture regime in Terai region of West Bengal. Pre-emergence application of pendimethalin at higher dose i.e. 1.0 kg/ha recorded higher plant mortality (30.92%) due to the presence of higher concentration of pendimethalin residue (0.292 µg/g) till the tenth day of crop age and consequently had the reduced yield (12.59 q/ha) than the dose of 0.7 kg/ha (13.33 q/ha) where plant mortality was only 12.62% due to comparatively lower level of pendimethalin residue (0.192 µg/g). Although the application of pendimethalin at the rate of 1.0 kg/ha was able to control weed more efficiently (18.96/m2) than the dose of 0.7 kg/ha (30.41/m2) and subsequent lower doses. The herbicide leached down to the root zone resulting in phytotoxicity towards crop. Yellow sarson group (Brassica campestris) showed more susceptibility than rai (Brassica juncea) group against pendimethalin application at higher doses

CLP1 Founder Mutation Links tRNA Splicing and Maturation to Cerebellar Development and Neurodegeneration

SummaryNeurodegenerative diseases can occur so early as to affect neurodevelopment. From a cohort of more than 2,000 consanguineous families with childhood neurological disease, we identified a founder mutation in four independent pedigrees in cleavage and polyadenylation factor I subunit 1 (CLP1). CLP1 is a multifunctional kinase implicated in tRNA, mRNA, and siRNA maturation. Kinase activity of the CLP1 mutant protein was defective, and the tRNA endonuclease complex (TSEN) was destabilized, resulting in impaired pre-tRNA cleavage. Germline clp1 null zebrafish showed cerebellar neurodegeneration that was rescued by wild-type, but not mutant, human CLP1 expression. Patient-derived induced neurons displayed both depletion of mature tRNAs and accumulation of unspliced pre-tRNAs. Transfection of partially processed tRNA fragments into patient cells exacerbated an oxidative stress-induced reduction in cell survival. Our data link tRNA maturation to neuronal development and neurodegeneration through defective CLP1 function in humans