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| Sample type(s) | serum, plasma, tissue homogenates |
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Background
Low Density Lipoprotein cholesterol (LDL-C) is a biological molecule commonly studied in cardiovascular research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.
Biological context
Researchers often monitor Low Density Lipoprotein cholesterol (LDL-C) in serum, plasma, and tissue homogenates to better understand themes such as vascular biology and endothelial function, cardiac remodeling and injury responses, and thrombosis and hemostasis. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.
Interpreting changes in measured levels
Depending on sample matrix and study design, increases or decreases in Low Density Lipoprotein cholesterol (LDL-C) may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, endothelial markers, coagulation-related proteins, and cardiac injury markers) and by keeping pre-analytical variables consistent across groups.
Why ELISA data are widely used
ELISA is a common approach for quantitative measurement of proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Low Density Lipoprotein cholesterol (LDL-C) participates in.
Can’t Find What You’re Looking For? We can help you source the best match or customize an ELISA solution for your study. Options may include alternative target synonyms, different species reactivity, sample type/matrix compatibility (serum/plasma/lysate/supernatant), assay format (sandwich/competitive), sensitivity/range, detection chemistry (colorimetric/fluorescent/chemiluminescent), plate format (pre-coated/uncoated, strips vs full plate), and bulk or custom packaging. Click Talk to a Scientist to submit a request form, email us at support@biohippo.com, or explore our Research Services for additional support. Our team will be in contact with you shortly.
Synergistic effects of pro-biotics or post-biotics with n-3 highly unsaturated fatty acids on chronic mild stress-induced dyslipidemia in rats
J Lee, Y Jin, Y Park,Research Square,2024
The monomer of resveratrol butyrate ester ameliorates obesity and gut microbiota in high-fat diet rats
YW Chen,Journal of Functional Foods,2024
Body composition and metabolic consequences of antibiotics most frequently administered to newborns in intensive care units: an experimental study in healthy newborn rats
E Segura,Frontiers in medicine,2024
Ethanolic Extract of Orange Leaves Ameliorates Dyslipidemia in Streptozotocin-induced Diabetic Rats.
N Dodantenna,/,2024
Body Composition and Metabolic Consequences of Most Frequent Antibiotics Given to Newborns in Intensive Care Units, an Experimental Study in Newborn Rats
C Wang,/,2024
Alleviation of Limosilactobacillus reuteri in polycystic ovary syndrome protects against circadian dysrhythmia-induced dyslipidemia via capric acid and GALR1 signaling
S Li,NPJ biofilms and microbiomes,2023
Eicosapentaenoic acid and docosahexaenoic acid, but not α-linolenic acid, decreased LDL-cholesterol synergistically with estrogen via regulation of cholesterol synthesis and clearance in ovariectomized rats
ChungPark, et al,Nutrition research,2019
Palm Wine and Orijin Bitters Severed Hyperlipidemia and Immunomodulatory Responses in Atherogenic-diet Fed Male Wistar Rats
Bukoye, Oyewo Emmanuel.et al,American Journal of Food Science and Health,2017
Effect of n-3 PUFA supplementation at different EPA: DHA ratios on the spontaneously hypertensive obese rat model of the metabolic syndrome
Molinar-Toribio E et al,Br J Nutr,2015