Effect of Aqueous Extract of Nutmeg on Hyperglycaemia, Hyperlipidaemia and Cardiac Histology Associated with Isoproterenol-induced Myocardial Infarction in Rats

Purpose: The present study was designed to evaluate the hypoglycaemic and hypolipidaemic activities of the aqueous extract of nutmeg (i.e., the kernel of Myristica fragrans) in rat models against myocardial infarction (MI) induced by isoproterenol (ISO).Methods: Rats were pretreated with nutmeg extract (NM) at an oral dose of 100 mg/kg/day for a period of 30 days, followed by the induction of MI by subcutaneous administration of ISO (85 mg/kg) for two consecutive days. The heart tissue was excised immediately, washed with chilled isotonic saline and used in histopathological studies. Blood was also collected from the animals and the plasma separated was subjected to biochemical analysis.Results: In ISO-administered group, a significant (p < 0.05) increase in the levels of blood glucose, plasma lipids and lipoprotein lipase activity was observed along with hyalinization of muscle fibres, compared NM-pretreated ISO-administered rats. In rats treated with NM, biochemical parameters were near normal. Histological studies revealed reduced damage of heart tissue in ISO-administered rats that were pretreated with NM.Conclusion: NM possesses protected rats against hyperglycaemia, hyperlipidaemia and cardiac tissue damage following MI. Therefore, NM should be further investigated as a prophylactic against the risk of MI

Successful monitoring of the 11 April 2012 tsunami off the coast of Sumatra by Indian Tsunami Early Warning Centre

The Indian Tsunami Early Warning Centre (ITEWC) in Hyderabad monitored the 11 April 2012 tsunami off the coast of Sumatra, which was generated by a shallow strike-slip earthquake and it largest aftershock of magnitude Mw (mB) 8.5 and 8.2 respectively, that occurred inside the subducting slab of the Indian plate. The earthquake generated a small ocean-wide tsunami that has been recorded by various tide gauges and tsunami buoys located in the Indian Ocean region. ITEWC detected the earthquake within 3 min 52 s and issued six advisories (bulletins) according to its Standard Operating Procedure. The ITEWC performed well during the event, and avoided false alarms and unnecessary public evacuations, especially in the mainland part of India region

Assessment of sensorineural hearing loss in well controlled and poorly controlled patients with diabetes mellitus

Background: The prevalence of diabetes and its adverse effects have snowballed through the world due to changes in lifestyle. Association of diabetes with hearing loss has been a topic of discussion for many years. Aim and Objectives: To assess the Sensorineural Hearing Loss (SNHL) in patients with diabetes and correlate it with the duration and severity of hyperglycemia. Material and Methods: This hospital based cross-sectional study was carried out from August 2017 to July 2018 among 100 patients with diabetes aged between 31-60 years. Patients were grouped as per age, duration of Diabetes Mellitus (DM) and glycaemic control using HbA1c levels. The results were statistically analysed using Chi-square test and Pearson's coefficient to draw significance. Results: The incidence of SNHL in patients with diabetes was 79% and the correlation among different age group showed statistical significance (p < 0.05). There was no statistical association between the gender and hearing loss among patients with diabetes (p = 0.70). However, association of SNHL to the duration of DM was statistically significant when compared among all three duration groups. No statistical correlation was present with the glycaemic control of DM. Results showed high frequency SNHL with 41.8% patients with diabetes having moderate degree of hearing loss. Conclusion: Early referral for hearing assessment in patients with diabetes can be followed by clinicians aiming at improving quality of life with timely measures

Instruments to measure the ability to self-reflect:A systematic review of evidence from workplace and educational settings including health care

Introduction: Self-reflection has become recognised as a core skill in dental education, although the ability to self-reflect is valued and measured within several professions. This review appraises the evidence for instruments available to measure the self-reflective ability of adults studying or working within any setting, not just health care. Materials and Methods: A systematic review was conducted of 20 electronic databases (including Medline, ERIC, CINAHL and Business Source Complete) from 1975 to 2017, supplemented by citation searches. Data were extracted from each study and the studies graded against quality indicators by at least two independent reviewers, using a coding sheet. Reviewers completed a utility analysis of the assessment instruments described within included studies, appraising their reported reliability, validity, educational impact, acceptability and cost. Results: A total of 131 studies met the inclusion criteria. Eighteen were judged to provide higher quality evidence for the review and three broad types of instrument were identified, namely: rubrics (or scoring guides), self-reported scales and observed behaviour. Conclusions: Three types of instrument were identified to assess the ability to self-reflect. It was not possible to recommend a single most effective instrument due to under reporting of the criteria necessary for a full utility analysis of each. The use of more than one instrument may therefore be appropriate dependent on the acceptability to the faculty, assessor, student and cost. Future research should report on the utility of assessment instruments and provide guidance on what constitutes thresholds of acceptable or unacceptable ability to self-reflect, and how this should be managed

Mechanisms Underlying Insulin Deficiency-Induced Acceleration of β-Amyloidosis in a Mouse Model of Alzheimer's Disease

Although evidence is accumulating that diabetes mellitus is an important risk factor for sporadic Alzheimer's disease (AD), the mechanisms by which defects in insulin signaling may lead to the acceleration of AD progression remain unclear. In this study, we applied streptozotocin (STZ) to induce experimental diabetes in AD transgenic mice (5XFAD model) and investigated how insulin deficiency affects the β-amyloidogenic processing of amyloid precursor protein (APP). Two and half months after 5XFAD mice were treated with STZ (90 mg/kg, i.p., once daily for two consecutive days), they showed significant reductions in brain insulin levels without changes in insulin receptor expression. Concentrations of cerebral amyloid-β peptides (Aβ40 and Aβ42) were significantly increased in STZ-treated 5XFAD mice as compared with vehicle-treated 5XFAD controls. Importantly, STZ-induced insulin deficiency upregulated levels of both β-site APP cleaving enzyme 1 (BACE1) and full-length APP in 5XFAD mouse brains, which was accompanied by dramatic elevations in the β-cleaved C-terminal fragment (C99). Interestingly, BACE1 mRNA levels were not affected, whereas phosphorylation of the translation initiation factor eIF2α, a mechanism proposed to mediate the post-transcriptional upregulation of BACE1, was significantly elevated in STZ-treated 5XFAD mice. Meanwhile, levels of GGA3, an adapter protein responsible for sorting BACE1 to lysosomal degradation, are indistinguishable between STZ- and vehicle-treated 5XFAD mice. Moreover, STZ treatments did not affect levels of Aβ-degrading enzymes such as neprilysin and insulin-degrading enzyme (IDE) in 5XFAD brains. Taken together, our findings provide a mechanistic foundation for a link between diabetes and AD by demonstrating that insulin deficiency may change APP processing to favor β-amyloidogenesis via the translational upregulation of BACE1 in combination with elevations in its substrate, APP

Dimethyl sulfoxide blocks herpes simplex virus-1 productive infection in vitro acting at different stages with positive cooperativity. Application of micro-array analysis

BACKGROUND: Dimethyl sulfoxide (DMSO) is frequently used at a concentration of up to 95% in the formulation of antiherpetic agents because of its properties as a skin penetration enhancer. Here, we have analyzed the effect of DMSO on several parameters of Herpes Simplex Virus replication. METHODS: Productive infection levels of HSV-1 were determined by plaque assay or by reporter gene activity, and its DNA replication was estimated by PCR. Transcript levels were evaluated with HSV-specific DNA micro-arrays. RESULTS: DMSO blocks productive infection in vitro in different cell types with a 50% inhibitory concentration (IC(50)) from 0.7 to 2% depending upon the multiplicity of infection. The concentration dependence exhibits a Hill coefficient greater than 1, indicating that DMSO blocks productive infection by acting at multiple different points (mechanisms of action) with positive cooperativity. Consistently, we identified at least three distinct temporal target mechanisms for inhibition of virus growth by DMSO. At late stages of infection, DMSO reduces virion infectivity, and markedly inhibits viral DNA replication. A third mode of action was revealed using an oligonucleotide-based DNA microarray system for HSV. These experiments showed that DMSO reduced the transcript levels of many HSV-1 genes; including several genes coding for proteins involved in forming and assembling the virion. Also, DMSO markedly inhibited some but not all early transcripts indicating a previously unknown mode for inhibiting the early phase of HSV transcription-replication cycle. CONCLUSION: These observations suggest that DMSO itself may have a role in the anti-herpetic activity of formulations utilizing it as a dispersant

Pearl millet populations characterized by Fusarium prevalence, morphological traits, phenolic content, and antioxidant potential

Background: Pearl millet (Pennisetum glaucum L.) has become increasingly attractive due to its health benefits. It is grown as food for human consumption and fodder for livestock in Africa and Asia. This study focused on five pearl millet populations from different agro-ecological zones from Tunisia, and on characterization by morphological traits, total phenolic and flavonoid content, antioxidant activity, and occurrence of Fusarium. Results: Analysis of variance revealed highly significant differences between populations for the quantitative traits. The highest grain weights occurred in the pearlmillet cultivated in Zaafrana and Gergis of Tunisia. Early flowering and earlymaturing populations cultivated in the center (Zaafrana, Rejiche) and south (Gergis) of Tunisia tended to have a higher grain yield. The Zaafrana population showed the highest value of green fodder potentiel (number andweight of leaves/cultivar and theweight of tillers and total plant/cultivar) followed by Gergis and Rejiche. The Kelibia population showed the highest total phenolic and flavonoid content. Rejiche exhibited the greatest antioxidant activity. Trans-cinnamic, protocatechuic, and hydroxybenzoic acids were the major phenolic compounds in all the extracts. Three Fusarium species were identified in Tunisian pearl millet populations based on morphologic and molecular characterization. Fusarium graminearum and Fusarium culmorum occurred most frequently. The average incidence of the three Fusarium species was relatively low (<5%) in all populations. The lowest infection rate (0.1%) was recorded in the samples from Zaafrana. Conclusion: Chemometric analysis confirmed the usefulness of the above traits for discrimination of pearl millet populations, where a considerable variation according to geographical origin and bioclimatic conditions was observed. © 2020 Society of Chemical Industr

Reconsideration of In-Silico siRNA Design Based on Feature Selection: A Cross-Platform Data Integration Perspective

RNA interference via exogenous short interference RNAs (siRNA) is increasingly more widely employed as a tool in gene function studies, drug target discovery and disease treatment. Currently there is a strong need for rational siRNA design to achieve more reliable and specific gene silencing; and to keep up with the increasing needs for a wider range of applications. While progress has been made in the ability to design siRNAs with specific targets, we are clearly at an infancy stage towards achieving rational design of siRNAs with high efficacy. Among the many obstacles to overcome, lack of general understanding of what sequence features of siRNAs may affect their silencing efficacy and of large-scale homogeneous data needed to carry out such association analyses represents two challenges. To address these issues, we investigated a feature-selection based in-silico siRNA design from a novel cross-platform data integration perspective. An integration analysis of 4,482 siRNAs from ten meta-datasets was conducted for ranking siRNA features, according to their possible importance to the silencing efficacy of siRNAs across heterogeneous data sources. Our ranking analysis revealed for the first time the most relevant features based on cross-platform experiments, which compares favorably with the traditional in-silico siRNA feature screening based on the small samples of individual platform data. We believe that our feature ranking analysis can offer more creditable suggestions to help improving the design of siRNA with specific silencing targets. Data and scripts are available at http://csbl.bmb.uga.edu/publications/materials/qiliu/siRNA.html