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Full-Text Articles in Medicine and Health Sciences
Advancing Risk Stratification In Hfpef: Unveiling The Potential Of Cardiac Fibrosis Markers For Early Diagnosis And Enhanced Patient Outcomes, Mariam Abdeen
Rowan-Virtua Research Day
Heart failure with preserved ejection fraction (HFpEF) challenges clinicians due to its diverse presentation and limitations in traditional diagnostic criteria. This study delves into the potential of cardiac fibrosis markers like galectin-3, NT-proBNP, and trimethylamine N-oxide (TMAO) to enhance diagnostic precision and patient outcomes in HFpEF. A systematic review of sixteen relevant studies revealed that these biomarkers offer promise for early detection and improved risk assessment. For instance, TMAO indicates systemic implications of HFpEF, while galectin-3 shows predictive value across heart failure types. Additionally, machine-learning models incorporating multiple biomarkers predict significant risk of adverse outcomes. Despite these advances, challenges like …
Developing An Assay For Easy And Rapid Detection Of Als Biomarker(S): A Hypothesis, Swati Dhasmana, Anupam Dhasmana, Meena Jaggi, Murali M. Yallapu, Subhash C. Chauhan
Developing An Assay For Easy And Rapid Detection Of Als Biomarker(S): A Hypothesis, Swati Dhasmana, Anupam Dhasmana, Meena Jaggi, Murali M. Yallapu, Subhash C. Chauhan
Research Symposium
Background: Death of motor neurons is the key pathology underlying neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS). Biomarkers are chemical changes in the biological fluids. Biomarkers serving as a diagnostic tool should be specific to the concerned disease. Biomarkers indicating disease progression should be very sensitive to demonstrate changes during the disease process as well as therapeutics development. Biomarkers proposed for ALS include poly (GP) repeats in C9orf72, neurofilaments, miRNAs, glutathione and 4HNE in CSF, SOD1/TDP43 protein, poly (GP) repeats in C9orf72, neurofilaments, T regulatory cells, CRP, chitotriosidase, creatinine, creatinine kinase, miRNAs, glutamate, albumin, uric acid, glutathione, ferritin, …
Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang
Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang
Rowan-Virtua Research Day
The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …
Correlation Between Gut Biomarkers And Depression, Jianle Gao
Correlation Between Gut Biomarkers And Depression, Jianle Gao
Rowan-Virtua Research Day
The correlation between the gut-microbiota- brain axis and mental state in the context of mental disorders such as Major Depressive Disorder (MDD), Schizophrenia, etc. has been well studied. Production of inflammatory and non-inflammatory metabolites by the gut- microbiota directly and indirectly affects the brain and mood. Therefore, colonization by maladaptive, pro-inflammatory bacteria may cause mood dysregulation and depressive features. Metabolites from these bacteria can be quantitatively analyzed for use as biomarkers of Major Depressive Disorder. Biomarkers studied include: serotonin, dopamine, butyrate, acetate, and propionate.
Inflammatory Marker Levels Among Patients Diagnosed With Autism Spectrum Disorder And Congenital Heart Defects, Patrick Pearce, Venkateswar Venkataraman, Andrea Iannuzzelli, Jennifer Lecomte
Inflammatory Marker Levels Among Patients Diagnosed With Autism Spectrum Disorder And Congenital Heart Defects, Patrick Pearce, Venkateswar Venkataraman, Andrea Iannuzzelli, Jennifer Lecomte
Rowan-Virtua Research Day
Autism Spectrum Disorder (ASD) and congenital heart defects (CHD) are conditions that both confer an immense increase in standard of care, and utilization of medical resources addressing comorbidities. One shared symptom that has been consistently cited is inflammation. This review sought to explore the levels of Tumor Necrosis Factor-𝞪 (TNF-𝞪) and Interleukin-6 (IL-6) between patients diagnosed as having either ASD or CHD. By compiling published data containing the mean values of these two inflammatory markers within these populations, it was shown that while both have significantly elevated levels compared to a phenotypically normal demographic, there is no significant difference between …
Rna Isolation In Duchenne Muscular Dystrophy (Dmd) Mice Models, Salem Abu Al-Burak
Rna Isolation In Duchenne Muscular Dystrophy (Dmd) Mice Models, Salem Abu Al-Burak
Undergraduate Student Research Internships Conference
Fibrosis is a progressive and typically irreversible disease process characterized by the excessive deposition of collagen in organs and in tissues of the musculoskeletal (MSK) system1,2. This process, which causes loss of organ and tissue function, can be initiated by micro-traumas3, an excessive and/or prolonged immune response1, the activation and proliferation of fibrosis-inducing progenitor cells4, and a pro-fibrotic extra-cellular microenvironment5. In parallel with the events that initiate fibrosis, genetic or environmental influences may cause cells and tissues to become predisposed to fibrosis development prior to initiation. This suggests that these …
Direct Quantitative Analysis Of Biomarkers Using Mass Spectrometry, Morgan N. Mcluckey, Zheng Ouyang
Direct Quantitative Analysis Of Biomarkers Using Mass Spectrometry, Morgan N. Mcluckey, Zheng Ouyang
The Summer Undergraduate Research Fellowship (SURF) Symposium
Point-of-care (POC) diagnostics describes a step in the medical treatment process where drugs can be monitored in a patient’s body on-site and in a timely fashion. Mass spectrometry (MS) can provide a quick, efficient, and highly accurate method of analysis of patient biofluids and tissues. Developing methods to bring this diagnostic mechanism to hospitals and clinics has the potential to improve patient care through, for example, personalized medicine. Our goal was to develop a way to effectively introduce internal standard (IS), a necessary chemical for the analytical process, to low-volume biofluid samples. Additionally, the effective direct quantitation of biomarkers with …