Daidzin enhances memory and the antischizophrenia drug olanzapine's effects, possibly through the 5-HT2A and D2 receptor interaction pathways.

Schizophrenia affects identification and disturbs our thinking and motivational capacity. Long-term use of daidzin (DZN) is evident to enhance attention and memory in experimental animals. This study aimed to investigate the effect of DZN on Swiss mice. To check animals' attention, identification, thinking, and motivational ability, we performed behavioral studies using marble burying, dust removal, and trained swimming protocols. For this, a total of 36 male Swiss albino mice were randomly divided into six groups, consisting of 6 animals in each group, as follows: control (vehicle), DZN-1.25, DZN-2.5, DZN-5 mg/kg, olanzapine (OLN)-2, and a combination of DZN-1.25 with OLN-2. Additionally, in silico studies are also performed to understand the possible molecular mechanisms behind this neurological effect. Findings suggest that DZN dose-dependently and significantly (p < .05) increased marble burying and removed dust while reducing the time to reach the target point. DZN-1.25 was found to enhance OLN's effect significantly (p < .05), possibly via agonizing its activity in animals. In silico findings suggest that DZN has strong binding affinities of -10.1 and -10.4 kcal/mol against human serotonin 2 A (5-HT2A) and dopamine 2 (D2) receptors, respectively. Additionally, DZN exhibits favorable pharmacokinetic and toxicity properties. We suppose that DZN may exert its attention- and memory-enhancing abilities by interacting with 5-HT2A and D2 receptors. It may exert a synergistic antischizophrenia-like effect with the standard drug, OLN. Further studies are required to discover the exact molecular mechanism for this neurological function in animals.

Chemical composition and pharmacological activities of Pisum sativum.

BACKGROUND: Consumption of vegetables has been proven to be effective in the prevention of different diseases. Traditionally edible aerial part of Pisum sativum L. subsp. sativum (Fabaceae) is used to treat diabetes, heart diseases and as blood purifier. Present study was aimed to explore the traditional use of aerial parts of P. sativum as a source of antidiabetic agent. In addition, antioxidant activity and chemical composition was carried out. METHODS: Total polyphenol content was spectrophotometrically determined using Folin Chiocalteu's reagent while the flavonoids by aluminum chloride colorimetric assay. Identification of compounds of the extract was made through HPLC and LCMS. Antihyperglycemic activity was assessed by oral glucose tolerance test in mice. Antioxidant activity was determined by DPPH free radical scavenging and reducing power assay. RESULTS: Total polyphenol and total flavonoids content were found to be 51.23 mg gallic acid equivalent and 30.88 mg quercetin equivalent per gram of dried plant extract respectively. Ellagic acid and p-coumeric acid were detected through HPLC. A total of eight compounds including naringenin, ß-sitosterol were indentified through LCMS. In OGTT, extract (200 mg/kg bw) showed a 30.24% decrease (P< 0.05) in blood glucose levels at 30 min compared to the normal control. The extract showed IC50 value of 158.52 µg/mL in DPPH scavenging assay and also showed comparable reducing power. CONCLUSION: Along with other compounds ellagic acid and ß-sitosterol present in the extract may be responsible for its antioxidant as well as antihyperglycemic activities. Altogether these results rationalize the use of this vegetable in traditional medicine.

The fungal natural product (1S,3S)-austrocortirubin induces DNA damage in HCT116 cells via a mechanism unique from other DNA damaging agents.

Screening a series of natural product-based tetrahydroanthraquinones led to the identification of a novel molecule, (1S,3S)-austrocortirubin (2), which acts via inducing DNA damage. Compound 2 has a GI50 of 3µM against HCT116 and induces apoptosis. Mechanism of action studies indicate that it causes significant DNA damage during G0/G1, S, and G2 cell cycle phases. Cells are stopped at the G2/M phase checkpoint, and do not reach mitosis due to large amounts of DNA damage. Thus, compound 2 exhibits a unique mechanism of action, one that is distinct from doxorubicin, despite the high degree of structural homology between these two quinone-based structures.

Exploring the factors behind socioeconomic inequalities in Antenatal Care (ANC) utilization across five South Asian natiaons: A decomposition approach.

Maternal and child mortality rates remain a significant concern in South Asian countries, primarily due to limited access to maternal care services and socioeconomic disparities. While previous studies have examined the factors influencing the utilization of antenatal care (ANC) services in individual countries, there is a lack of comparative analysis across South Asian nations. This study aims to investigate the factors affecting ANC utilization among women aged 15-49 in Bangladesh, India, Nepal, Maldives, and Pakistan using the latest Demographic and Health Survey data. The study utilized a total weighted sample size of 262,531 women. Simple bivariate statistics and binary logistic regression were employed to identify potential factors influencing ANC utilization. Decomposition analysis and concentration curve (Lorenz curve) were used to assess inequality in ANC service utilization. The prevalence of ANC utilization varied across the countries, with Maldives having the highest (96.83%) and Bangladesh the lowest (47.01%). Women's and husbands' education, household wealth status, BMI, and urban residence were found to significantly influence maternal healthcare services utilization. Higher education levels, affluent wealth quintiles, and urban living were identified as significant contributors to socioeconomic disparities in accessing ANC services. This study highlights the crucial role of socioeconomic factors in the utilization of maternal healthcare services in South Asian countries. Governments should focus on improving healthcare infrastructure, addressing cultural barriers, and promoting education to address these disparities. Identifying context-specific causes of maternal healthcare utilization is essential to inform targeted interventions and policies aimed at improving access to ANC services and reducing maternal mortality rates.

Quantifying and Learning Static Vs. Dynamic Information in Deep Spatiotemporal Networks.

There is limited understanding of the information captured by deep spatiotemporal models in their intermediate representations. For example, while evidence suggests that action recognition algorithms are heavily influenced by visual appearance in single frames, no quantitative methodology exists for evaluating such static bias in the latent representation compared to bias toward dynamics. We tackle this challenge by proposing an approach for quantifying the static and dynamic biases of any spatiotemporal model, and apply our approach to three tasks, action recognition, automatic video object segmentation (AVOS) and video instance segmentation (VIS). Our key findings are: (i) Most examined models are biased toward static information. (ii) Some datasets that are assumed to be biased toward dynamics are actually biased toward static information. (iii) Individual channels in an architecture can be biased toward static, dynamic or jointly encode a combination static and dynamic information. (iv) Most models converge to their culminating biases in the first half of training. We then explore how these biases affect performance on dynamically biased datasets. For action recognition, we propose StaticDropout, a semantically guided dropout that debiases a model from static information toward dynamics. For AVOS, we design a better combination of fusion and cross connection layers compared with previous architectures.

Socioeconomic inequalities in utilizing maternal health care in five South Asian countries: A decomposition analysis.

BACKGROUND: High maternal mortality rates still today remain a significant public health concern in South Asian countries. The majority of maternal deaths occur during pregnancy, and these deaths may typically be avoided by ensuring that women have access to reliable maternity care such as antenatal care (ANC) and facility delivery. The objectives of this research were to assess socioeconomic disparities in the utilization of health care services by mothers and to determine the factors influencing this utilization among women aged 15 to 49 in five South Asian countries. METHODS: For this study, nationally representative data from the Demographic and Health Survey (DHS) were analyzed. This research included a total of 262,531 women between the ages of 15 and 49. To determine the likely causes of maternal health care utilization, simple bivariate statistics and binary logistic regression were applied, and decomposition analysis and the concentration curve were used to quantify disparity (Lorenz curve). RESULTS: ANC and institutional delivery were both prevalent in 59.27% and 86.52% of cases, respectively. Among the five nations, Maldives has the greatest ANC (96.83%) and institutional delivery (99.39%), while Bangladesh has the lowest ANC (47.01%) and institutional delivery (49.81%). Women's and husbands' education, household wealth status, BMI, and urban residents are the most important factors influencing maternal health service utilization, whereas higher education level, affluent wealth quintiles, and place of residence are the major contributors to socioeconomic inequalities in access to maternal health care that favor the wealthy. CONCLUSION: Maternal health care services must be utilized properly in order to promote optimal health and prevent maternal mortality. Several socioeconomic and sociodemographic variables of the individual population, as well as policy issues, all have an impact on maternal mortality. This research recommends for concerted action to enhance how successfully women use maternity care services.

Sedative Effects of Daidzin, Possibly Through the GABAA Receptor Interaction Pathway: In Vivo Approach with Molecular Dynamic Simulations.

The soy isoflavone daidzin (DZN) has been considered a hopeful bioactive compound having diverse biological activities, including anxiolytic, memory-enhancing, and antiepileptic effects, in experimental animals. However, its sedative and hypnotic effects are yet to be discovered. This study aimed to evaluate its sedative/hypnotic effect on Swiss mice. Additionally, in silico studies were also performed to see the possible molecular mechanisms behind the tested neurological effect. For this, male Swiss albino mice were treated with DZN (5, 10, or 20 mg/kg) intraperitoneally (i.p.) with or without the standard GABAergic medication diazepam (DZP) and/or flumazenil (FLU) and checked for the onset and duration of sleeping time using thiopental sodium-induced as well as DZP-induced sleeping tests. A molecular docking study was also performed to check its interaction capacity with the α1 and ß2 subunits of the GABAA receptor. Findings suggest that DZN dose-dependently and significantly reduced the latency while increasing the duration of sleep in animals. In combination therapy, DZN shows synergistic effects with the DZP-2 and DZP-2 + FLU-0.01 groups, resulting in significantly (p < 0.05) reduced latency and increased sleep duration. Further, molecular docking studies demonstrate that DZN has a strong binding affinity of - 7.2 kcal/mol, which is closer to the standard ligand DZP (- 8.3 kcal/mol) against the GABAA (6X3X) receptor. Molecular dynamic simulations indicated stability and similar binding locations for DZP and DZN with 6X3X. In conclusion, DZN shows sedative effects on Swiss mice, possibly through the GABAA receptor interaction pathway.

Phytol exerts sedative-like effects and modulates the diazepam and flumazenil's action, possibly through the GABAA receptor interaction pathway.

This study aimed at the evaluation of the sedative effect of phytol (PHY) with possible molecular mechanisms through in vivo and in silico studies. For this, adult male mice were randomly divided into six individual groups, namely control (vehicle), two standards (DZP: diazepam at 2 m/kg, FLU: flumazenil at 0.1 mg/kg), three test groups (PHY at 25, 50, and 75 mg/kg), and three combined groups with the DZP-2 and/or FLU-0.1 with PHY-75 mg/kg. After thirty minutes, each animal was treated with thiopental sodium (TS) at 40 mg/kg to produce sedation and observed for latency and duration of sleep up to 4 h. In silico studies were performed with the 6X3X protein of the GABAA receptor α1 and ß2 subunits. The results demonstrate that PHY dose-dependently enhanced sleep duration in animals. However, it produced an insignificant sleep duration compared to the control and standard groups. It also significantly (p < 0.05) decreased the latency and increased the duration of sleep with DZP-2, while reducing these parameters with FLU-0.1. In in silico studies, DZP and FLU exhibited binding affinities with 6X3X by -6.8 and -6.9 kcal/mol, respectively, while PHY exhibited -6.9 kcal/mol. Taken together, PHY may exert a sedative-like effect in TS-induced sleeping mice and modulate the effects of DZP and FLU, possibly through interacting with the 6X3X protein of the GABAA receptor. PHY may be one of the good candidates for the management of sleep disturbances, such as insomnia.

Nutritional composition and phenolic contents of Gracilariopsis longissima, Padina tetrastromatica and Ulva intestinalis from the Bay of Bengal, Bangladesh coast.

Seaweeds have become the focus of experts in recent years due to their biological characteristics and the variety of uses they have for both humans and animals. Biochemical composition, amino acids, fatty acids, and phenolic components were analyzed to explore the nutritive value of Gracilariopsis longissima, Padina tetrastromatica, and Ulva intestinalis from the Bay of Bengal, Bangladesh coast. Proximate composition and mineral content were determined according to the AOAC method. The high-performance liquid chromatography amino acid analysis system was used for the amino acid analysis and the fatty acid profile of the extracted oils was assessed as their methyl esters. The Folin-Ciocalteu technique was used to estimate the phenolic content and the aluminum chloride colorimetric technique was used to calculate the total flavonoid content. The three different species of seaweed had significantly different proximate compositions (P < 0.05), with G. longissima having the highest protein content. Except for sulfur, the mineral contents were likewise considerably higher (P < 0.05) in G. longissima. Although the amounts of the essential amino acids were greater than 50 % of the total amino acids in the three studied seaweed species, the total amino acid composition of these three species differed significantly (P < 0.05). The findings indicated that lipid levels were low in all the assessed species, but unsaturated fatty acid levels were high, with G. longissima exhibiting the highest amounts. The results showed that, compared to the other species, G. longissima had a substantially higher (P < 0.05) level of total phenolic and flavonoid content. The three studied seaweed appear to be excellent for nutrition based on their overall nutritional profiles. However, due to high protein, unsaturated fatty acid, essential amino acid, and total phenolic and flavonoid content, G. longissima is the most promising seaweed that will be helpful for pharmaceutical and multifunctional food applications.

COVID-19 knowledge, attitude, practices, and associated factors among Bangladeshi food handlers from various food industries.

Background and objectives: It is believed that preventive safety measures are the most effective way to avoid the COVID-19. The adherence of workers to these measures is largely determined by their knowledge, attitude, and practices (KAP). Because they are in close proximity to consumable items, workers in the food industry must be especially vigilant during this period. The purpose of this present study was to evaluate the COVID-19 knowledge, attitudes, and practices of food handlers in different food industries of Bangladesh. Study design: This was a cross-sectional study. Methods: This included the participation of 400 food handlers from 15 food industries. The information was collected from the participants through a questionnaire prepared in Google form. Different nonparametric tests and a linear regression model were performed for statistical analysis. Results: With a correct response rate of about 90% on average (knowledge 89.7%, attitude 93%, practices 88.2%), the participants showed an acceptable KAP (>80% correct response) regarding COVID-19. Education (p = 0.00) and working experiences (p = 0.01) had a significant association with the total KAP scores. Conclusion: Food handlers in the food industries of Bangladesh have adequate knowledge, a positive attitude, and the desired practices regarding the COVID-19 issue.

Effects of Leader Conscientiousness and Ethical Leadership on Employee Turnover Intention: The Mediating Role of Individual Ethical Climate and Emotional Exhaustion.

Employees working under conscientious leadership perceive their leaders as ethical leaders. This study investigates the conscientiousness of leaders as an essential trait of ethical leadership and the relationship between ethical leadership and employee-turnover intention. Additionally, we study the potential mediating roles of the individual-level ethical climate (self-interest, friendship, and personal morality) as well as the level of employees' emotional exhaustion that contribute to the decision-making process of turnover intention. Building on social learning and social exchange theories, outcomes from nine industrial manufacturing organizations comprising 260 subordinates' responses show that leaders' conscientiousness is positively related to ethical leadership and negatively associated with employees' turnover intention. Consistent with this hypotheses, results found that, in an individual-level ethical climate, employees experience diminished emotional exhaustion. The relationships are found to mediate between ethical leadership and turnover intention in manufacturing organizations. Additionally, it was also found that individual-level ethical climates cause a relatively positive impact on employees' emotional exhaustion leading them to lower turnover intention.

Social Connections and Self-Perceived Depression: An Enhanced Model for Studying Teenagers' Mental Wellbeing.

The rising prevalence of depression among teenagers in Malaysia as well as globally makes it a vital issue to study. The purpose of this research is to examine the effects of social connection and self-perceived depression towards the improved mental wellbeing of the teenagers of Malaysia. Moreover, the mediating role of self-perceived depression on the improvement of the mental wellbeing of teenagers is examined in this study. This study followed a questionnaire-based approach. The sample of this study included 289 students aged between 15 and 19 years from Klang Valley, Malaysia. Prior permission was obtained from school authorities as well as from parents to allow their children to participate in the survey. To find out the structural relationship between the variables, PLS-SEM was utilized. This study finds that stronger social connections with family and friends may result in reduced self-perceived depression among Malaysian teenagers. Moreover, self-perceived depression among the teenagers surveyed had a negative effect on their improved mental wellbeing. The findings of this study will significantly affect how depression theories are currently understood and have consequences for social work, services, and policy interventions regarding teenagers in Malaysia.

Crosstalk between xanthine oxidase (XO) inhibiting and cancer chemotherapeutic properties of comestible flavonoids- a comprehensive update.

Gout is an inflammatory disease caused by metabolic disorder or genetic inheritance. People throughout the world are strongly dependent on ethnomedicine for the treatment of gout and some receive satisfactory curative treatment. The natural remedies as well as established drugs derived from natural sources or synthetically made exert their action by mechanisms that are closely associated with anticancer treatment mechanisms regarding inhibition of xanthine oxidase, feedback inhibition of de novo purine synthesis, depolymerization and disappearance of microtubule, inhibition of NF-ĸB activation, induction of TRAIL, promotion of apoptosis, and caspase activation and proteasome inhibition. Some anti-gout and anticancer novel compounds interact with same receptors for their action, e.g., colchicine and colchicine analogues. Dietary flavonoids, i.e., chrysin, kaempferol, quercetin, fisetin, pelargonidin, apigenin, luteolin, myricetin, isorhamnetin, phloretinetc etc. have comparable IC50 values with established anti-gout drug and effective against both cancer and gout. Moreover, a noticeable number of newer anticancer compounds have already been isolated from plants that have been using by local traditional healers and herbal practitioners to treat gout. Therefore, the anti-gout plants might have greater potentiality to become selective candidates for screening of newer anticancer leads.

Fibro-CoSANet: pulmonary fibrosis prognosis prediction using a convolutional self attention network.

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end-to-end multi-modal learning based approach, to predict the FVC decline. Fibro-CoSANet utilized computed tomography images and demographic information in convolutional neural network frameworks with a stacked attention layer. Extensive experiments on the OSIC Pulmonary Fibrosis Progression Dataset demonstrated the superiority of our proposed Fibro-CoSANet by achieving new state-of-the-art modified Laplace log-likelihood score of -6.68. This network may benefit research areas concerned with designing networks to improve the prognostic accuracy of IPF. The source-code for Fibro-CoSANet is available at: https://github.com/zabir-nabil/Fibro-CoSANet.

Relative Saliency and Ranking: Models, Metrics, Data and Benchmarks.

Salient object detection is a problem that has been considered in detail and many solutions have been proposed. In this paper, we argue that work to date has addressed a problem that is relatively ill-posed. Specifically, there is not universal agreement about what constitutes a salient object when multiple observers are queried. This implies that some objects are more likely to be judged salient than others, and implies a relative rank exists on salient objects. Initially, we present a novel deep learning solution based on a hierarchical representation of relative saliency and stage-wise refinement. Further to this, we present data, analysis and baseline benchmark results towards addressing the problem of salient object ranking. Methods for deriving suitable ranked salient object instances are presented, along with metrics suitable to measuring algorithm performance. In addition, we show how a derived dataset can be successively refined to provide cleaned results that correlate well with pristine ground truth in its characteristics and value for training and testing models. Finally, we provide a comparison among prevailing algorithms that address salient object ranking or detection to establish initial baselines providing a basis for comparison with future efforts addressing this problem. The source code and data are publicly available via our project page: ryersonvisionlab.github.io/cocosalrank.

Harnessing energy from the waste produced in Bangladesh: evaluating potential technologies.

With the increasing trend of the urban population in Bangladesh, waste generation is also increasing. With 70% organic solid waste, the urban areas generate 23,688 tonnes of waste per day. This rapid enhancement in waste production has an adverse effect onlandfill resources and the day-to-day lifestyle. In this regard adopting waste to energy techniques can be considered good idea to overcome the current waste management problem. This WtE conversion technique solves the landfill resources problem and produces electricity and heat to be supplied. This study aims to investigate the current status of MSW management in Bangladesh and identify the major problems. Here, five fundamental methods such as pyrolysis, incineration, anaerobic digestion (AD), gasification, hydrothermal carbonization (HTC) are reviewed critically and discussed the feasibilities in Bangladesh to generate power. The analysis is done considering different types of parameters like moisture content, calorific value, and residence time. These analyses pertaining to MSW management may be fruitful for encouraging researchers and authorities to improve further.

Effects of nerol on paracetamol-induced liver damage in Wistar albino rats.

Nerol, a monoterpene is evident to possess diverse biological activities, including antioxidant, anti-microbial, anti-spasmodic, anthelmintic, and anti-arrhythmias. This study aims to evaluate its hepatoprotective effect against paracetamol-induced liver toxicity in a rat model. Five groups of rats (n = 7) were orally treated (once daily) with 0.05% tween 80 dissolved in 0.9% NaCl solution (vehicle), paracetamol 640 mg/kg (negative control), 50 mg/kg silymarin (positive control), or nerol (50 and 100 mg/kg) for 14 days, followed by the hepatotoxicity induction using paracetamol (PCM). The blood samples and livers of the animals were collected and subjected to biochemical and microscopical analysis. The histological findings suggest that paracetamol caused lymphocyte infiltration and marked necrosis, whereas maintenance of the normal hepatic structural was observed in group pre-treated with silymarin and nerol. The rats pre-treated with nerol significantly and dose-dependently reduced the hepatotoxic markers in animals. Nerol at 100 mg/kg significantly reversed the paracetamol-induced altered situations, including the liver enzymes, plasma proteins, antioxidant enzymes and serum bilirubin, lipid peroxidation (LPO) and cholesterol [e.g., total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c)] levels in animals. Taken together, nerol exerted significant hepatoprotective activity in rats in a dose-dependent manner. PCM-induced toxicity and nerol induced hepatoprotective effects based on expression of inflammatory and apoptosis factors will be future line of work for establishing the precise mechanism of action of nerol in Wistar albino rats.

Zingiber roseum Rosc. rhizome: A rich source of hepatoprotective polyphenols.

Zingiber roseum is native to Bangladesh and widely used in folk medicine. This present study was designed to assess the ameliorative potential of Zingiber roseum rhizome extract in carbon tetrachloride (CCl4) induced hepatotoxicity in mice model. Seven phenolic compounds were identified and quantified by HPLC analysis in the plant extract, including quercetin, myricetin, catechin hydrate, trans-ferulic acid, trans-cinnamic acid, (-) epicatechin, and rosmarinic acid. Hepatotoxicity was induced by administrating a single intraperitoneal injection of CCl4 (10 mL/kg) on 7th day of treatment. The results revealed that plant extract at all doses (100, 200 and 400 mg/kg) significantly reduced (p < 0.05) the elevated serum aspartate aminotransferase (AST), alanine aminotransferase (ALT) and alkaline phosphatase (ALP) concentrations, and these effects were comparable to that of standard drug silymarin. Histopathological examination also revealed the evidence of recovery from CCL4 induced cellular damage when pretreated with Z. roseum rhizome extract. The in-vivo hepatoprotective effects were further investigated by the in-silico study of the aforementioned compounds with liver-protective enzymes such as superoxide dismutase (SOD), peroxiredoxin, and catalase. The strong binding affinities (ranging from -7.3359 to -9.111 KCal/mol) between the phenolic compounds (except trans-cinnamic acid) and oxidative stress enzymes inhibit ROS production during metabolism. The compounds were also found non-toxic in computational prediction, and a series of biological activities like antioxidant, anticarcinogen, cardio-protectant, hepato-protectant have been detected.

Virulence Determinants and Multidrug Resistance of Escherichia coli Isolated from Migratory Birds.

Migratory birds are carriers of multidrug resistant pathogenic Escherichia coli. However, their roles in the dissemination of these resistant pathogens are still being neglected in Bangladesh. The present study was therefore carried out to detect multidrug resistant E. coli. In addition, these isolates were also screened for the presence of avian pathogenic E. coli (APEC)-associated virulence genes. A total of 66 fecal matter samples of migratory birds were screened. E. coli were isolated and identified by culturing and biochemical tests followed by polymerase chain reaction (PCR). APEC-associated virulence genes were detected by PCR. Disk diffusion assays were employed to investigate antibiogram profiles. Bivariate analysis was performed to assess correlations in resistance patterns between antimicrobials and to assess associations between virulence genes of E. coli. Among the 66 samples assessed by PCR, 55 (83.33%) were found positive for E. coli. Of these 55 isolates, the APEC-associated virulence gene fimC was detected in 67.27% of the isolates, which was significantly higher than in the cases of iucD (29.09%) and papC (5.45%) genes. In addition, three isolates were found positive for all three virulence genes, while 23 and 12 isolates were positive for one and two virulence genes respectively. In the bivariate analysis, significant associations were detected between fimC and iucD virulence genes. Using the antibiogram, all E. coli isolates were found to be multidrug resistant (MDR). The isolates exhibited 100% resistance against ampicillin and erythromycin in addition to varying percentages of resistance against streptomycin, tetracycline, ciprofloxacin, and chloramphenicol. Highly positive correlations between tetracycline and ciprofloxacin, chloramphenicol and ciprofloxacin, chloramphenicol and tetracycline were observed by bivariate analysis. To the best of our knowledge, this is the first study that reports APEC-associated virulence genes of MDR E. coli from migratory birds in Bangladesh. Results indicate that migratory birds are reservoirs of MDR E. coli isolates carrying APEC-associated virulence genes, which can seriously contribute to the development of human and animal diseases.

Molecular Phylogenetics and Biological Potential of Fungal Endophytes From Plants of the Sundarbans Mangrove.

The Sundarbans forest in Bangladesh is the world's largest mangrove. It is a unique ecosystem where living organisms face extreme challenges to compete for survival. Such competition results in the production of bioactive molecules which are useful for agriculture and human health. In this study, eighty fungal endophytes from nine mangrove plants growing in a region, as yet unexplored, of the Sundarbans were isolated by surface sterilisation and pure culture techniques. Among the eighty isolates subjected to a preliminary antimicrobial screening using an agar plug diffusion assay, only fifteen showed some promising activity. These were subsequently identified by polymerase chain reaction of their ITS gene. Extracts prepared from the identified isolates were screened for antimicrobial, antioxidant, cytotoxic and α-glucosidase inhibitory activities. Their total polyphenol and flavonoid content and their FRAP value were also determined. All endophytes are reported for the first time in the plants under investigation.