Metabolic Disease Screening
Metabolic Disease Screening - Related Videos
13:32
High Content Screening in Neurodegenerative Diseases
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Cited by 8 •
2012
We describe a methodology combining automated cell culturing with high-content imaging to visualize and quantify multiple cellular processes and structures, in a high-throughput manner. Such methods can aid in the further functional annotation of genomes as well as identify disease gene networks and potential drug targets.
06:26
Mouse Model of Metabolic Dysfunction-Associated Steatotic Liver Disease with Fibrosis
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Cited by 1 •
2025
Mouse model of metabolic dysfunction-associated steatotic liver disease (MASLD) with metabolic dysfunction, hepatic gene expression changes, and liver histopathological alterations that resemble human MASLD, including fibrosis that progresses to advanced fibrosis stage 3. This model can be used in studies of MASLD pathophysiology and in pre-clinical studies of new therapies.
06:50
Advancements in the Metabolic Profiling of Three-Dimensional Brain Tumor Spheroids for Drug Screening
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Cited by 1 •
2025
Here, we establish a metabolic profiling platform integrating three-dimensional (3D) glioma spheroids and imaging-based normalization via extracellular flux analysis. This approach enables more accurate assessment of tumor metabolic responses to drug treatments and provides insights into potential mechanisms of resistance.
05:41
Metabolic Profile Analysis of Zebrafish Embryos
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Cited by 42 •
2013
Zebrafish represent a powerful vertebrate model that has been under-utilised for metabolic studies. Here we describe a rapid way to measure the in vivo metabolic profile of developing zebrafish that allows the comparison of different mitochondrial function parameters between genetically or pharmacologically manipulated embryos, thereby increasing the applicability of this organism.
10:19
An Introduction to Cell Metabolism
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2023
In cells, critical molecules are either built by joining together individual units like amino acids or nucleotides, or broken down into smaller components. Respectively, the reactions responsible for this are referred to as anabolic and catabolic. These reactions require or produce energy typically in the form of a “high-energy” molecule called ATP. Together, these processes make up “Cell Metabolism,” and are hallmarks of healthy, living cells.JoVE’s introduction to cell metabolism briefly...
FAQs
Metabolic disease screening gains value by combining several indicators rather than relying on one measurement. Blood glucose, blood lipids, blood pressure, body composition, and medical history can reveal related abnormalities that form a broader risk pattern. This integrated view helps distinguish isolated findings from patterns that warrant counseling, closer observation, or follow-up testing.
Diet, physical activity, sleep, and other behaviors provide context for biological measurements and may help explain why metabolic risk indicators differ among individuals. Considering these factors allows clinicians or researchers to connect measured abnormalities with potentially modifiable patterns. That connection supports more personalized counseling instead of treating every screening result as unrelated to daily behavior.
Screening can detect abnormal biological measurements and behavior-linked risk patterns even when a person has no noticeable symptoms. That early signal creates an opportunity to discuss diet, physical activity, sleep, or other relevant behaviors before risk progresses. In this way, screening supports prevention and follow-up rather than waiting for symptoms to prompt evaluation.
A typical assessment combines medical history with measurements of blood glucose, blood lipids, blood pressure, and body composition. Behavioral information, including diet, physical activity, and sleep, may add important context to those findings. Together, these data provide a structured profile that can support risk assessment, personalized counseling, and decisions about follow-up testing.
Results can show how a person’s behavioral patterns relate to metabolic risk indicators, giving counseling a more individualized focus. Rather than offering identical advice to everyone, clinicians or researchers can use the combined profile to discuss relevant behaviors and monitor subsequent changes. This approach connects assessment with prevention strategies intended to promote healthier behaviors and reduce disease burden.
In clinical practice and research, screening results can establish a baseline, identify abnormal patterns, and provide a basis for follow-up testing. Repeated assessments also help evaluate whether prevention strategies are associated with changes over time. This makes the approach useful for monitoring behavior-related risk and judging how interventions influence metabolic health indicators.