A PROSPECTIVE STUDY ON RISK FACTORS OF IRON DEFICIENCY ANEMIA IN PREGNANT WOMEN AND THEIR MANAGEMENT

Objective: Iron deficiency anemia during pregnancy leads to preterm birth, low birth weight and increases the incidence of postpartum hemorrhage (PPH) and the reason for the incidence of PPH is higher in India compared with the rest of the world. In this study, our main goal was to find out the risk factors and complications of iron deficiency anemia and their management in pregnant women. Methods: It is a prospective study done at Obstetrics and Gynecology Department in Government District Headquarters Hospital, Tiruppur. All subjects were analyzed in full detail and hemoglobin estimation was also done to the patients. Results: Study found that 52% shows moderate anemia followed by 30% mild and 18% severe, respectively. Risk factors are found in 55% cases. Study found an association between risk factors and severity of anemia. Conclusion: Iron deficiency anemia continues to be the commonest etiology of anemia in pregnancy. The prevalence of iron deficiency in a pregnant woman is amongst the highest in the world. Untreated iron deficiency has significant adverse feto-maternal consequences. Iron supplementation and antenatal care are the basic requirements to prevent anemia

Modeling and Simulation of Electric Motors Using Lightweight Materials

Electric motors are utilitarian devices of great potential as they can limit the amount of pollution by drastically reducing the release of harmful gases. The implementation of the right type of advanced materials plays a vital role in the amelioration of modern automobiles while maintaining and/or improving the performance and efficiency of the electric motor. The use of lightweight materials could result in a better-performing vehicle that can be much less heavy. The replacement of regular cast iron, steel, and aluminum with lightweight materials such as fiber-reinforced polymer, carbon fiber, and polymer composites can reduce the weight of the motor without impacting its performance and improve its energy-saving capacity. This paper explores a way to reduce motor weight by employing a PA6GF30 30% glass fiber-reinforced polymer casing to reduce the weight of the motor while making cooling system modifications. This material was applied to the motor casing, which resulted in a significant reduction in weight compared to the water-cooled electric motor of aluminum (Alloy 195 cast) casing

Modeling and Simulation of Electric Motors Using Lightweight Materials

Electric motors are utilitarian devices of great potential as they can limit the amount of pollution by drastically reducing the release of harmful gases. The implementation of the right type of advanced materials plays a vital role in the amelioration of modern automobiles while maintaining and/or improving the performance and efficiency of the electric motor. The use of lightweight materials could result in a better-performing vehicle that can be much less heavy. The replacement of regular cast iron, steel, and aluminum with lightweight materials such as fiber-reinforced polymer, carbon fiber, and polymer composites can reduce the weight of the motor without impacting its performance and improve its energy-saving capacity. This paper explores a way to reduce motor weight by employing a PA6GF30 30% glass fiber-reinforced polymer casing to reduce the weight of the motor while making cooling system modifications. This material was applied to the motor casing, which resulted in a significant reduction in weight compared to the water-cooled electric motor of aluminum (Alloy 195 cast) casing

A cross strain Plasmodium falciparum microarray optimized for the transcriptome analysis of Plasmodium falciparum patient derived isolates

Malarial parasite P. falciparum, an apicomplexan protozoan has a 23.3 MB nuclear genome and encodes ~5600 transcripts. The genetic diversity of the parasite within and across geographical zones is a challenge to gene expression studies which are essential for understanding of disease process, outcome and developing markers for diagnostics and prognostics. Here, we describe the strategy involved in designing a custom P. falciparum 15K array using the Agilent platform and Genotypic's Right Design methodology to study the transcriptome of Indian field isolates for which genome sequence information is limited. The array contains probes representing genome sequences of two distinct geographical isolates (i.e. 3D7 and HB3) and sub-telomeric var gene sequences of a third isolate (IT4) known to adhere in culture condition. Probes in the array have been selected based on their efficiency to detect transcripts through a 244K array experimentation. Array performance for the 15K array, was evaluated and validated using RNA materials from P. falciparum clinical isolates. A large percentage (91%) of the represented transcripts was detected from Indian P. falciparum patient isolates. Replicated probes and multiple probes representing the same gene showed perfect correlation between them suggesting good probe performance. Additional transcripts could be detected due to inclusion of unique probes representing HB3 strain transcripts. Variant surface antigen (VSA) transcripts were detected by optimized probes representing the VSA genes of three geographically distinct strains. The 15K cross strain P. falciparum array has shown good efficiency in detecting transcripts from P. falciparum parasite samples isolated from patients. The low parasite loads and presence of host RNA makes arrays a preferred platform for gene expression studies over RNA-Seq

Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray

Natural antisense transcripts (NATs) have been detected in many organisms and shown to regulate gene expression. Similarly, NATs have also been observed in malaria parasites with most studies focused on Plasmodium falciparum. There were no reports on the presence of NATs in Plasmodium vivax, which has also been shown to cause severe malaria like P. falciparum, until a recent study published by us. To identify in vivo prevalence of antisense transcripts in P. vivax clinical isolates, we performed whole genome expression profiling using a custom designed strand-specific microarray that contains probes for both sense and antisense strands. Here we describe the experimental methods and analysis of the microarray data available in Gene Expression Omnibus (GEO) under GSE45165. Our data provides a resource for exploring the presence of antisense transcripts in P. vivax isolated from patients showing varying clinical symptoms. Related information about the description and interpretation of the data can be found in a recent publication by Boopathi and colleagues in Infection, Genetics and Evolution 2013

An in vivo transcriptome data set of natural antisense transcripts from Plasmodium falciparum clinical isolates

Antisense transcription is pervasive among biological systems and one of the products of antisense transcription is natural antisense transcripts (NATs). Emerging evidences suggest that they are key regulators of gene expression. With the discovery of NATs in Plasmodium falciparum, it has been suggested that these might also be playing regulatory roles in this parasite. However, all the reports describing the diversity of NATs have come from parasites in culture condition except for a recent study published by us. In order to explore the in vivo diversity of NATs in P. falciparum clinical isolates, we performed a whole genome expression profiling using a strand-specific 244 K microarray that contains probes for both sense and antisense transcripts. In this report, we describe the experimental procedure and analysis thereof of the microarray data published recently in Gene Expression Omnibus (GEO) under accession number GSE44921. This published data provide a wealth of information about the prevalence of NATs in P. falciparum clinical isolates from patients with diverse malaria related disease conditions. Supplementary information about the description and interpretation of the data can be found in a recent publication by Subudhi et al. in Experimental Parasitology (2014)