Filtering by
- All Subjects: medicine
- All Subjects: Metabolism
- Creators: School of Molecular Sciences
- Status: Published
Current methods for IgG antibody detection include enzyme immunoassays (EIA) such as the commercially available Diamedix Immunosimplicity® Measles IgG test kit and the Diamedix Immunosimplicity® Mumps IgG test kit. EIAs generally provide high sensitivity and strong specificity, however, there is a need for rapid screening of measles and mumps specific immunity in outbreak and resource-limited areas which could be solved by use a point-of-care (POC) platform.
This study aims to optimize a point-of-care device for the multiplexed detection of MeV, MuV, and RuV IgG antibodies in sera and to compare the sensitivity to commercial enzyme immunoassays. The IgG antibody levels to MeV and MuV were measured using EIA test kits for a total of 44 healthy serum samples. Of the samples, 6% were seronegative for MeV-specific IgG antibodies and 75% were seronegative for MuV-specific antibodies, showing low correlation of IgG antibody levels between both viruses.
To improve the sensitivity of the POC device, multiple conjugated fluorescent secondary antibodies were tested with different surface chemistries. Signal detection was measured using the pre-developed four-site slide reader. Preliminary data show that Nile Red microspheres provide robust signal detection and should be the secondary antibody of choice when sera are tested for IgG antibodies using the POC platform in future work.
Though schizophrenia was categorized as a mental illness over 100 years ago, there is a plethora of knowledge that continues to perplex the scientific and medical community alike. This tragic mental disorder affects approximately 1% of the general population, and many of these individuals are homeless if left untreated. Each schizophrenia patient has a different set of symptoms, so all of these patients experience a variety of positive and negative symptoms. Negative symptoms are called so as they are in absence, and some examples include apathy, anhedonia, lack of motivation, reduced social drive, and reduced cognitive functioning. Positive behavior, on the other hand, is a change in behavior or thoughts such as visual or auditory hallucinations, delusions, confused thoughts, disorganized speech, and trouble concentrating. Because schizophrenia patients do not share the exact same set of symptoms, research in schizophrenia requires a tremendous amount of medical resources. Over the last few years, new studies have started in the field of schizophrenia involving proteomics, or the study of proteins and their function. This new frontier gives doctors and scientists alike a new opportunity to improve the quality of life of schizophrenia patients by providing a potential method through which patients would receive individualized treatment based on their specific symptoms.
Language has a critical role as a social determinant of health and a source of healthcare disparities. Rhetorical devices are ubiquitous in medicine and are often used to persuade or inform care team members. Rhetorical devices help a healthcare team acknowledge and interpret narratives. For example, metaphors are frequently used as rhetorical devices by patients to describe cancer, including winning or losing a battle, surviving a fight, war, potentially implying that the patient feels helpless like a pawn fighting in a struggle directed by the physician, thus reducing patient autonomy and agency. However, this occidental approach is flawed because it excessively focuses on the individual's agency and marginalizes external factors, such as cultural beliefs and social support (Sontag, 1989). Although there is a large body of research about how the rhetoric of medicine affects patients in the United States, there is a lack of such research about how patient experiences' rhetoric can help increase the understanding of Latino populations' unique social determinants. This creative project aims to analyze the rhetorical differences in the description of disease amongst Latino and American communities, translating to creating an educational module for a Spanish for biomedical sciences class. The objective is to increase future healthcare professionals' ability to understand how the composition of descriptions and medical rhetoric in different mediums of humanities can serve as critical tools to analyze social determinants in Latino healthcare delivery.
Over 40% of adults in the United States are considered obese. Obesity is known to cause abnormal metabolic effects and lead to other negative health consequences. Interestingly, differences in metabolism and contractile performance between obese and healthy weight individuals are associated with differences in skeletal muscle fiber type composition between these groups. Each fiber type is characterized by unique metabolic and contractile properties, which are largely determined by the myosin heavy chain isoform (MHC) or isoform combination that the fiber expresses. In previous studies, SDS-PAGE single fiber analysis has been utilized as a method to determine MHC isoform distribution and single fiber type distribution in skeletal muscle. Herein, a methodological approach to analyze MHC isoform and fiber type distribution in skeletal muscle was fine-tuned for use in human and rodent studies. In the future, this revised methodology will be implemented to evaluate the effects of obesity and exercise on the phenotypic fiber type composition of skeletal muscle.