WGCNA may be useful for condensing all the lipid species into a few modules that can be linked to clinical traits.

Lipid analysis helps to discover lipid species affecting the differentiation of human skin stem cells.

Lipid analysis is helpful in research and medical applications of neuroscience in health and disease.

Multi-micronutrient supplementation influences levels of phospholipids, lysophospholipids, and cholesterol esters in blood plasma.

Try OPLS-DA when a PCA score plot cannot tell differences between different sample groups.

The structural flexibility of lipids affects their migration into lipid droplets.

Enrichment analysis helps to identify the most prominent features in lipidomics datasets.

Camelina, flax, and hemp oils lipidomics.

Researchers developed a method to quantify the full ganglioside lipidome in CNS during various developmental stages.

Imputation helps to deal with missing values in lipidomics datasets.

TANGO2 plays a role in lipid metabolism and affects cellular organization during starvation.

Phosphoinositide lipids show area-specific distribution in the rods of a mouse retina.

Age-related gut microbiome changes are reflected in serum lipidome.

Lipidomics analysis of stratum corneum is essential in dermatology research and product development.

Lipidomics analysis supports the preparation and analysis of nano plasma membrane vesicles (nPMVs).

PUFAs coming from diet incorporate into the plasma membrane and affect its biophysical properties.

A glycerol/petrolatum-based emollient cream improves ceramide balance and strengthens the skin barrier function.

Conjugated linoleates can act as ferroptosis inducers by promoting lipid peroxidation and cancer cell death.

Lipidomics analysis of blood plasma helps to predict and differentiate various cardiovascular diseases.

CRISPR/Cas9-based gene knockouts allow for a better understanding of lipid metabolic pathways.

Lipid profiling differentiates between metabolically healthy and unhealthy obesity.

Regulating fatty acid metabolism using lipases could be beneficial in Parkinson’s disease treatment.

Lipidomics risk score allows to accurately measure the risk of diabetes and cardiovascular disease development

Temperature conditions affect the lipid composition of giant plasma membrane vesicles obtained from cells.

Endoplasmic reticulum stress is a process that is involved in the development of many diseases.

Plasma lipidomics analysis is a promising tool for a differential diagnosis of various atherosclerosis-related vascular diseases.

Modifying dietary fatty acids composition may protect the kidney in patients with diabetes.

Application of a moisturizing body lotion to dry skin improves barrier properties and alters ceramide profile and skin microbiome.

Remyelination requires orchestrated lipid droplets formation and cholesterol esterification by microglia.

Activation of LXR in T helper cells alters lipid metabolism, reduces membrane order, and modifies the immune response.

Multiomics analyses of well-studied diseases can reveal molecular pathways, identify biomarkers, and improve predictive models.

LDLR expression influences ovarian cancer cells’ lipid profiles and sensitivity to platinum-based chemotherapy.

The mtUPR in yeast exhibits an initial increase in protein import, which is accompanied by cardiolipin synthesis and remodeling.

Yeast adapts to the absence of phosphatidylcholine by changing lipid composition to restore membrane fluidity.

The plasma lipidome in anorexia patients before and after refeeding therapy exhibits dysregulated lipid metabolism.

The plasma lipid profile depends on meal timing and composition and is associated with insulin sensitivity.

The enzyme PTPMT1, which synthesizes the mitochondrial lipid cardiolipin, helps cancer cells adapt to hypoxia.

Multiomics analyses with lipidomics reveal molecular pathways in Alzheimer’s disease to improve predictive power.

Metabolic indicators in the plasma lipidome can classify obesity status more accurately than standard metrics.

Skin lipid composition impacts skin health and can be studied via lipidomics but sex, age and, sample depth affect the data.

Heart failure changes lipid metabolism in cardiac tissue of mice. The altered lipid profile can be confirmed in human plasma.

Combined transcriptomic, proteomic, lipidomic, & metabolomic analyses can characterize the molecular basis of diabetes.

Exosomes may be useful for targeted drug delivery. Proteomic & lipidomic characterization are required for this goal.

Breast cancer phospholipid metabolism is a powerful target for new therapies, especially against triple-negative breast cancer.

The brain of mammals is the second-most lipid-rich organ. Lipid analysis of neural cells helps understand its complex structure.

Diagnosing multiple sclerosis is difficult. Lipid markers can support diagnosis and treatment of the neuroinflammatory disease.

A population health study examined the relationships between genotypes, the plasma lipidome, and cardiovascular diseases.

Skin biology is central to develop reliable moisturizers, but molecular analysis of the skin has been lacking.

The development of new antibiotics alone is not believed to stop multi resistant bacteria. A new strategy is emerging.

Adjuvants are added to vaccines to boost their efficiency, but the underlying molecular mechanisms used to be poorly understood.