Metabolic Disease
Metabolic Disease - Related Videos
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.
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...
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.
06:59
Characterization of Metabolic Status in Nonhuman Primates with the Intravenous Glucose Tolerance Test
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Cited by 7 •
2016
The goal of this protocol is to present a standard method to perform intravenous glucose tolerance tests (IVGTTs) to assess glycemic control in nonhuman primates and assess their metabolic status from healthy to dysmetabolic.
08:28
Metabolic Labeling
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2023
Metabolic labeling is used to probe the biochemical transformations and modifications that occur in a cell. This is accomplished by using chemical analogs that mimic the structure of natural biomolecules. Cells utilize analogs in their endogenous biochemical processes, producing compounds that are labeled. The label allows for the incorporation of detection and affinity tags, which can then be used to elucidate metabolic pathways using other biochemical analytical techniques, such as SDS-PAGE...
FAQs
Abnormal insulin signaling can disturb the way cells respond to insulin, affecting glucose handling and related energy pathways. These changes may accompany increased glucose production and contribute to disorders such as diabetes. Examining insulin-related pathways helps researchers connect biochemical abnormalities with clinical findings and identify mechanisms that may be relevant to treatment development.
Lipid handling and glucose production are central because disturbances in either process can alter the balance of circulating and stored nutrients. Abnormal lipid processing is associated with dyslipidemia and fatty liver disease, while altered glucose production can worsen diabetes-related abnormalities. Studying both pathways helps clarify why metabolic disorders can involve multiple organs.
Energy balance links the intake, processing, and use of nutrients with longer-term metabolic health. When this balance becomes abnormal, it may contribute to obesity and interact with disrupted insulin signaling or lipid handling. Considering these relationships allows medical research to examine metabolic disease as a connected set of pathways rather than as isolated abnormalities.
Medical investigations combine biochemical analysis, genetic profiling, imaging, and clinical assessment. Biochemical analysis examines relevant metabolic abnormalities, genetic profiling explores inherited or molecular contributors, imaging evaluates affected tissues or organs, and clinical assessment places these findings in a patient-care context. Using complementary approaches can support risk identification, diagnosis, and evaluation of treatment effects.
Researchers use biochemical, genetic, imaging, and clinical findings to identify factors associated with metabolic disease and its complications. These data can help distinguish relevant abnormalities, support earlier recognition, and characterize individual risk. The resulting information is also useful for studying why some patients develop cardiovascular, hepatic, or other consequences of metabolic dysfunction.
Personalized care becomes relevant when metabolic abnormalities, risk factors, and complications differ among individuals. Integrating clinical assessment with biochemical analysis, genetic profiling, and imaging can help guide decisions about prevention and treatment evaluation. This approach supports management aimed not only at the underlying disorder but also at reducing cardiovascular, hepatic, and other organ-related complications.