This article addresses the significance of Luminex xTAG analyte-specific reagents (ASRs) in the identification of bacteria, parasites, and viruses that have high clinical significance in the public health sector (Navidad et.al, 2013). The article considers these reagents in testing different pathogens such as E. coli, using stool samples from patients. The testing phase indicates that these reagents demonstrate a very high level of sensitivity to different pathogens in the range of 90-100 percent (Navidad et.al, 2013). The summary of the article emphasizes important points of the study and the outcomes that were generated, and also provides information that indicates the possible use of these reagents in future testing.
The introduction provides important background information regarding acute diarrheal disease (ADD) and its impact on the worldwide population (Navidad et.al, 2013). This section also emphasizes the significance of foodborne pathogens and the necessity to develop strategies that will support improved diagnostic testing to identify these pathogens more effectively (Navidad et.al, 2013). This section also considers the need for additional testing due to a lack of accuracy and timely results, and it also introduces the ASR method and its potential impact on diagnostic testing for ADD in many patients (Navidad et.al, 2013).
Use your promo and get a custom paper on
"ASRs".
The materials and methods section provides a summary of the different materials that were used in the study, including culture isolates and specimen stools; this section also addresses the approval of the Institutional Biosafety Committee prior to conducting the study (Navidad et.al, 2013).The discussion section describes the accuracy of the ASRs in reproducing the results of other tests with precise accuracy, which plays a role in determining the potential impact of ASRs on a widespread basis, particularly when there is a public health crisis involving ADD.
It is important to utilize this data in the formulation of other research protocols in order to ensure that its accuracy is reproducible in other studies. The results of other tests, combined with the results of this study, will provide further evidence of the potential accuracy and feasibility of implementing ASRs as a viable and effective screening tool in the identification of foodborne pathogens that cause ADD in patient populations throughout the world (Navidad et.al, 2013). These factors are instrumental in shaping the outcomes of the study because they reflect the importance of new strategies to address public health crises that may occur as a result of foodborne pathogens that may sicken many people, particularly in countries where there are limited resources to diagnose and treat these conditions effectively.
The assay that is described in this study is likely to have numerous benefits and applications in different areas, particularly in the diagnosis of pathogens that cause foodborne illness, which often contributes to high mortality rates. However, its efficacy is not yet well known and requires further investigation in order to determine its overall effectiveness in the identification of pathogens and related mechanisms that impact the disease state.
Finally, the data that was generated in the study appears to be accurate, based upon the information that is described. A sufficient number of stool samples were derived and the multi-test approach, accompanied by the comparison ASR testing, demonstrates the significance of the ASR as a potential replacement method for a number of other testing methods that may be similarly accurate, but less efficient and perhaps less cost effective. Therefore, the ASR method could serve as a viable replacement in pathogenic discoveries in foodborne illness that kills many people throughout the world on an annual basis. This type of assay has been deemed highly effective in the example study, as the data has demonstrated that there is great potential for other applications of the assay that supports the development of new strategies to improve the identification of pathogens that cause many different types of diseases so that treatment may begin more quickly.
The title of this study is too long and is confusing to the novice reader. The title should be shortened by using several key words, rather than the lengthy description of the scope of work that the study entails. The introduction provides background information regarding acute gastroenteritis, including statistics, current identification methods, and potential detection resources. The materials and methods section is very detailed, but there are lengthy lists of ASRs that are cumbersome and difficult to read, which may lead the reader to lose interest in the study very quickly. Based on limited knowledge of the topic, the research design appears to be appropriate for the hypothesis under consideration. A pie graph was provided that was dark but easy to distinguish the different detection methods.
There are numerous problems with this study that must also be considered, as they demonstrate a lack of experience with the assay in question, which demonstrates the potential ineffectiveness of the assay because the knowledge is not available to support it and apply it to future studies. This is an important reminder that sufficient knowledge is required of an assay prior to using it for testing, particularly for a specific purpose. The discrepancies that were evident in the study do not provide sufficient insight into the use of the assay for the stated purpose; therefore, is necessary to adapt its application in future studies in order to determine its efficacy. It is also evident that when there is a large outbreak, it is extremely difficult to achieve adequate and specific testing, due in large part to the mathematical knowledge that is required to perform these calculations. As a result, even if a pathogen is identified, it may not be an effective tool in reducing mortality rates for those affected. As a result, the study requires additional insight and new discoveries in order to achieve the intended results.
