Fat Mass
Fat Mass - Related Videos
16:07
Biochemical and High Throughput Microscopic Assessment of Fat Mass in Caenorhabditis Elegans
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Cited by 74 •
2013
We present robust biochemical and microscopic methods for studying Caenorhabditis elegans lipid stores. A rapid, simple, fixing-staining procedure for fluorescent lipid droplet imaging leverages the spectral properties of the lipophilic dye Nile red. We then present biochemical measurement of triglycerides and phospholipids using solid phase extraction and gas chromatography-mass spectrometry.
05:57
Fat Preference: A Novel Model of Eating Behavior in Rats
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Cited by 9 •
2014
Dietary fat content influences both energy intake and body fat composition in mammals. By examining rats’ preference for high fat food in a series of choice experiments, it is possible to test genetic differences and pharmacological interventions on their preference for high fat food.
09:25
Transplantation Into the Mouse Ovarian Fat Pad
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Cited by 7 •
2016
We describe an ovarian fad pad transplantation assay suitable for studies of normal and transformed epithelia of the female reproductive tract. The mouse fat pad allows transplantation of large tissue fragments, is easily accessible for surgery and imaging, and provides the most favorable native environment for tissues of Müllerian origin.
06:11
An Efficient Method to Obtain Dedifferentiated Fat Cells
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Cited by 4 •
2016
We have modified the conditions for DFAT cell generation and provide herein information regarding the use of an improved growth medium for the production of these cells.
10:23
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
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Cited by 7 •
2017
Lipid droplets are important organelles for the replication of several pathogens, including the Hepatitis C Virus (HCV). We describe a method to isolate lipid droplets for quantitative mass spectrometry of associated proteins; it can be used under a variety of conditions, such as virus infection, environmental stress, or drug treatment.
FAQs
Genetic variation can affect fat mass through several biological routes rather than a single pathway. It may influence how adipocytes form, how large they become, and how efficiently they store lipid. These mechanisms help explain why individuals can differ in adipose tissue accumulation, while environmental conditions and overall energy balance still modify the observed outcome.
Adipocyte formation and adipocyte size represent distinct mechanisms that genetics research can examine. Variation affecting formation may alter the development of lipid-storing cells, whereas variation affecting size may change how much lipid those cells retain. Separating these possibilities helps researchers connect genetic differences with specific aspects of fat mass instead of treating the trait as biologically uniform.
Genes may also shape fat mass by influencing appetite or energy expenditure. Appetite affects energy intake, while energy expenditure affects how the body uses energy; together, these processes contribute to overall energy balance. Studying both routes broadens the analysis beyond adipose tissue itself and helps researchers evaluate why similar environmental conditions may produce different fat-mass outcomes.
Fat mass does not reflect genetic influences alone. Environmental factors and overall energy balance can alter the outcome produced by genetic variation, so researchers interpret genetic associations within a broader biological context. This interaction is important when relating fat mass to obesity or metabolic disease risk, because a genetic finding does not describe the complete set of influences on an individual.
Family studies provide one way to investigate whether fat mass patterns are related among relatives. By examining the trait in family groups, researchers can assess evidence consistent with a genetic contribution while recognizing that relatives may also share environmental factors. This approach offers an initial population-level view before more specific genomic or functional analyses are applied.
Genome-wide association studies, or GWAS, survey genetic variation across the genome to identify variants associated with fat mass. These associations can point to biological pathways involved in adipocyte biology, appetite, energy expenditure, or lipid storage. GWAS findings are therefore useful for discovering candidate relationships, but functional analyses are needed to examine how implicated candidate genes may operate.
Functional analyses of candidate genes add biological context to statistical genetic findings. After family studies or GWAS identify a relationship with fat mass, researchers can examine whether a candidate gene connects to processes such as adipocyte formation, cell size, lipid storage, appetite, or energy expenditure. This combination helps move from association toward a clearer explanation of mechanism.
Studying the genetic basis of fat mass can support research on obesity and metabolic disease. The combined evidence may improve understanding of biological pathways, inform risk assessment, and contribute to more individualized prevention strategies. These potential applications do not remove the importance of environmental factors or energy balance, which remain part of the overall explanation for fat-mass variation.