A comparative study of metabolic and hormonal effects of myoinositol vs. metformin in women with polycystic ovary syndrome: a randomised controlled trial

Background: The purpose of the study was to find out which drug is more effective in treatment and improvement of metabolic and hormonal parameters in women with polycystic ovary syndrome (PCOS); Myoinositol or Metformin. This study was conducted since there are very limited studies on the same.Methods: Patients between 15-40 years of age with signs and symptoms of PCOS who attended the outpatient department of obstetrics and gynaecolgy at AVBRH between study period of September, 2012 to August 2014, were subjected to specific investigations to diagnose PCOS. Patients who were diagnosed with PCOS according to the Rotterdam criteria were included in the study group. Patients were randomly allocated to treatment with either myoinositol or metformin. Myoinositol group received 1 g twice daily while Metformin group received 500 mg twice daily for 6 months .The findings and investigations were repeated after 6 months and was compared with the baseline values.Results: Treatment with myoinositol and metformin both decreased body mass index, androgenic features, improved menstrual abnormalities and polycystic ovaries but the Level of insulin resistance as measured by fasting insulin and homeostatic model assessment (HOMA) decreased only on treatment with myoinositol.Conclusions: Myoinositol acts at the level of insulin receptors and is effective in treatment of hyperinsulinemia and insulin resistance, which is the underlying factor leading to the development of polycystic ovary syndrome

Phytochemical analysis, antioxidant and anti-inflammatory activity of leaves and bark of Ceropegia rollae Hemadri

The purpose of the present study is to evaluate in vitro antioxidant activity and anti-inflammatory activity of methanolic extract of the leaves and the bark of the plant Ceropegia rollae Hemadri. The antioxidant activity of the both leaves and bark extract was studied using FRAP and DPPH method. The in vitro anti-inflammatory activity and phytochemical characterization were carried using known protocols. The various phytochemical components such as total phenolics and flavonoids were determined. The plant Ceropegia rollae also contains tannis and ascorbic acid. This is related to the antioxidant activity of the plant Ceropegia rollae extract. The leaves shows good antioxidant and anti-inflammatory activity as compared to the bark. These can be used as natural antioxidant and anti-inflammatory agents

Green synthesis of the plant assisted nanoparticles from Euphorbia neriifolia L. and its application in the degradation of dyes from industrial waste

In the world industries are growing very rapidly resulting in fast development. Various industries are coming up such as that of dyes, paints, pharmaceuticals etc. Dyes are used in various industries and release pollutants in the environment. It is necessary to remove such pollutants from the environment. Euphorbia neriifolia L. grow as the weed in the forests of the konkan region in waste land area. This weed is a typical latex bearing plant. This latex can be converted into the powder under sun drying process. This powder can be used for the preparation of Fe nanoparticles. The plant assisted synthesized nanoparticles have good particle size, morphology and band gap. These nanoparticles used for the degradation of the dye like Methylene Blue and Methylene Red from the industrial waste. It gives very good results. We can develop new catalyst for the degradation of the dyes from the industrial waste. It act as good catalyst by the simple non form of the catalyst. This catalyst is derived from the plant Euphorbia neriifolia L. latex

Purification and Characterization of a Mitogenic Lectin from Cephalosporium, a Pathogenic Fungus Causing Mycotic Keratitis

Ophthalmic mycoses caused by infectious fungi are being recognized as a serious concern since they lead to total blindness. Cephalosporium is one amongst several opportunistic fungal species implicated in ophthalmic infections leading to mycotic keratitis. A mitogenic lectin has been purified from the mycelia of fungus Cephalosporium, isolated from the corneal smears of a keratitis patient. Cephalosporium lectin (CSL) is a tetramer with subunit mass of 14 kDa, agglutinates human A, B, and O erythrocytes, and exhibits high affinity for mucin compared to fetuin and asialofetuin but does not bind to simple sugars indicating its complex sugar specificity. CSL showed strong binding to normal human peripheral blood mononuclear cells (PBMCs) to elicit mitogenic activity. The sugar specificity of the lectin and its interaction with PBMCs to exhibit mitogenic effect indicate its possible role in adhesion and infection process of Cephalosporium

Dynamic Changes in Protein Functional Linkage Networks Revealed by Integration with Gene Expression Data

Response of cells to changing environmental conditions is governed by the dynamics of intricate biomolecular interactions. It may be reasonable to assume, proteins being the dominant macromolecules that carry out routine cellular functions, that understanding the dynamics of protein∶protein interactions might yield useful insights into the cellular responses. The large-scale protein interaction data sets are, however, unable to capture the changes in the profile of protein∶protein interactions. In order to understand how these interactions change dynamically, we have constructed conditional protein linkages for Escherichia coli by integrating functional linkages and gene expression information. As a case study, we have chosen to analyze UV exposure in wild-type and SOS deficient E. coli at 20 minutes post irradiation. The conditional networks exhibit similar topological properties. Although the global topological properties of the networks are similar, many subtle local changes are observed, which are suggestive of the cellular response to the perturbations. Some such changes correspond to differences in the path lengths among the nodes of carbohydrate metabolism correlating with its loss in efficiency in the UV treated cells. Similarly, expression of hubs under unique conditions reflects the importance of these genes. Various centrality measures applied to the networks indicate increased importance for replication, repair, and other stress proteins for the cells under UV treatment, as anticipated. We thus propose a novel approach for studying an organism at the systems level by integrating genome-wide functional linkages and the gene expression data

Etiology of hospital mortality in children living in low- and middle-income countries:a systematic review and meta-analysis

In 2019, 80% of the 7.4 million global child deaths occurred in low- and middle-income countries (LMICs). Global and regional estimates of cause of hospital death and admission in LMIC children are needed to guide global and local priority setting and resource allocation but are currently lacking. The study objective was to estimate global and regional prevalence for common causes of pediatric hospital mortality and admission in LMICs. We performed a systematic review and meta-analysis to identify LMIC observational studies published January 1, 2005-February 26, 2021. Eligible studies included: a general pediatric admission population, a cause of admission or death, and total admissions. We excluded studies with data before 2,000 or without a full text. Two authors independently screened and extracted data. We performed methodological assessment using domains adapted from the Quality in Prognosis Studies tool. Data were pooled using random-effects models where possible. We reported prevalence as a proportion of cause of death or admission per 1,000 admissions with 95% confidence intervals (95% CI). Our search identified 29,637 texts. After duplicate removal and screening, we analyzed 253 studies representing 21.8 million pediatric hospitalizations in 59 LMICs. All-cause pediatric hospital mortality was 4.1% [95% CI 3.4%–4.7%]. The most common causes of mortality (deaths/1,000 admissions) were infectious [12 (95% CI 9–14)]; respiratory [9 (95% CI 5–13)]; and gastrointestinal [9 (95% CI 6–11)]. Common causes of admission (cases/1,000 admissions) were respiratory [255 (95% CI 231–280)]; infectious [214 (95% CI 193–234)]; and gastrointestinal [166 (95% CI 143–190)]. We observed regional variation in estimates. Pediatric hospital mortality remains high in LMICs. Global child health efforts must include measures to reduce hospital mortality including basic emergency and critical care services tailored to the local disease burden. Resources are urgently needed to promote equity in child health research, support researchers, and collect high-quality data in LMICs to further guide priority setting and resource allocation

Protecting children in low-income and middle-income countries from COVID-19

CITATION: Ahmed, S. et al. 2020. Protecting children in low-income and middle-income countries from COVID-19. BMJ Global Health, 5:e002844. doi:10.1136/bmjgh-2020-002844.The original publication is available at https://gh.bmj.comA saving grace of the COVID-19 pandemic in high-income and upper middle-income countries has been the relative sparing of children. As the disease spreads across low-income and middle-income countries (LMICs), long-standing system vulnerabilities may tragically manifest, and we worry that children will be increasingly impacted, both directly and indirectly. Drawing on our shared child pneumonia experience globally, we highlight these potential impacts on children in LMICs and propose actions for a collective response.https://gh.bmj.com/content/5/5/e002844.abstractPublisher's versio

Complete Genomic Characterization of a Pathogenic A.II Strain of Francisella tularensis Subspecies tularensis

Francisella tularensis is the causative agent of tularemia, which is a highly lethal disease from nature and potentially from a biological weapon. This species contains four recognized subspecies including the North American endemic F. tularensis subsp. tularensis (type A), whose genetic diversity is correlated with its geographic distribution including a major population subdivision referred to as A.I and A.II. The biological significance of the A.I – A.II genetic differentiation is unknown, though there are suggestive ecological and epidemiological correlations. In order to understand the differentiation at the genomic level, we have determined the complete sequence of an A.II strain (WY96-3418) and compared it to the genome of Schu S4 from the A.I population. We find that this A.II genome is 1,898,476 bp in size with 1,820 genes, 1,303 of which code for proteins. While extensive genomic variation exists between “WY96” and Schu S4, there is only one whole gene difference. This one gene difference is a hypothetical protein of unknown function. In contrast, there are numerous SNPs (3,367), small indels (1,015), IS element differences (7) and large chromosomal rearrangements (31), including both inversions and translocations. The rearrangement borders are frequently associated with IS elements, which would facilitate intragenomic recombination events. The pathogenicity island duplicated regions (DR1 and DR2) are essentially identical in WY96 but vary relative to Schu S4 at 60 nucleotide positions. Other potential virulence-associated genes (231) varied at 559 nucleotide positions, including 357 non-synonymous changes. Molecular clock estimates for the divergence time between A.I and A.II genomes for different chromosomal regions ranged from 866 to 2131 years before present. This paper is the first complete genomic characterization of a member of the A.II clade of Francisella tularensis subsp. tularensis

Understanding Communication Signals during Mycobacterial Latency through Predicted Genome-Wide Protein Interactions and Boolean Modeling

About 90% of the people infected with Mycobacterium tuberculosis carry latent bacteria that are believed to get activated upon immune suppression. One of the fundamental challenges in the control of tuberculosis is therefore to understand molecular mechanisms involved in the onset of latency and/or reactivation. We have attempted to address this problem at the systems level by a combination of predicted functional protein∶protein interactions, integration of functional interactions with large scale gene expression studies, predicted transcription regulatory network and finally simulations with a Boolean model of the network. Initially a prediction for genome-wide protein functional linkages was obtained based on genome-context methods using a Support Vector Machine. This set of protein functional linkages along with gene expression data of the available models of latency was employed to identify proteins involved in mediating switch signals during dormancy. We show that genes that are up and down regulated during dormancy are not only coordinately regulated under dormancy-like conditions but also under a variety of other experimental conditions. Their synchronized regulation indicates that they form a tightly regulated gene cluster and might form a latency-regulon. Conservation of these genes across bacterial species suggests a unique evolutionary history that might be associated with M. tuberculosis dormancy. Finally, simulations with a Boolean model based on the regulatory network with logical relationships derived from gene expression data reveals a bistable switch suggesting alternating latent and actively growing states. Our analysis based on the interaction network therefore reveals a potential model of M. tuberculosis latency