Cosmetics & Dermatology

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About Cosmetics & Dermatology

Omics disciplines such as metabolomics, lipidomics, and proteomics offer a wide range of applications in the cosmetics industry, driving innovation and personalization in product development. These omics applications are revolutionizing the cosmetics industry, enabling the development of more effective, safe, and personalized products tailored to consumers’ specific needs.

Lipidomics

Lipid biomarkers for skin health:Identifying lipids as indicators of hydration, elasticity, and aging.

Skin barrier studies:
Analyzing skin lipids to understand and improve the skin’s barrier function.

Advanced formulation design:
Developing cosmetic products aimed at restoring lipid balance in dry, oily, or aging skin.

Research on skin disorders:
Studying the role of lipids in conditions such as dermatitis, psoriasis, or acne to create targeted solutions.

Metabolomics

Biomarker discovery:
Detecting metabolites that indicate skin damage, oxidative stress, or inflammation to enhance product efficacy.

Skin analysis:
Identifying metabolites linked to aging, hydration, and other skin conditions to develop targeted treatments.

Efficacy assessment:
Analyzing metabolic changes induced by cosmetics to measure their impact on skin health.

Personalized treatments:
Designing products tailored to individual metabolic profiles for optimal results and minimal adverse reactions.

Proteomics

Skin aging analysis:
Identifying proteins associated with skin aging to develop more effective anti-aging treatments.

Oxidative damage assessment:
Detecting protein markers of oxidative stress in the skin to formulate antioxidant products.

Design of topical therapies:
Developing active ingredients like peptides or recombinant proteins to rejuvenate and protect the skin.

Skin regeneration studies:
Understanding cellular repair mechanisms and promoting the production of key proteins like collagen and elastin.

SERVICES

Our Cosmetics & Dermatology Services

At oloBion, we provide cutting-edge omics services designed to empower researchers in the Cosmetics & Dermatology industry. With our state-of-the-art technology and the expertise of our team, we help you unlock the full potential of your analytes, driving discovery, innovation, and impactful solutions. Our portfolio includes both Untargeted and Targeted OMICS services, as well as ADME-DMPK assays, all tailored to meet the specific needs of your research.

Lipidomics Compound Screening

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS.The Identification includes a list with superclass, class, lipid name, and InChIKey.

Fatty Acids Profile LC-MS

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of short chain fatty acids by LC-MS/MS. The indentification includes a list with superclass, class, lipid name, and InChIKey.

Lipidomics Profile LC-MS + Oxylipins

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS, including oxylipins. The Identification includes a list with superclass, class, lipid name, and InChIKey.

Lipidomics Profile LC-MS

Technique: LC-MS/MS
Untargeted lipidomics analysis for the identification of lipids by LC-MS/MS.The Identification includes a list with superclass, class, lipid name, and InChIKey.

PharmacoLipidomics

Is an emerging discipline that combines lipidomic analysis with pharmacology to better understand the interaction between drugs and the body’s lipid profiles. Its integration complements ADME-Tox and pharmacometabolomics studies, enabling a deeper characterization of compound bioavailability, metabolism, and toxicity.

Selection of Lipid Profiles and Biomarkers:

Identify key lipid classes:
- Phospholipids (influence transport and bioavailability)
- Sphingolipids (associated with apoptosis and toxicity)
- Fatty acids and triglycerides (impact on hepatic and renal metabolism)
- Bioactive lipids (eicosanoids, endocannabinoids).
Determine relevant lipid biomarkers in pharmacokinetics and toxicity.

Panel: Fatty Acids LC-MS

Targeted lipidomics analysis for the quantification of total fatty acids (FW) (g/100g)

Custom LC-MS

Technique: LC-MS/MS
Target Lipidomics analysis for the identification of specific lipid(s) according to customer requirements

Metabolomics Compound Screening

Technique: LC-MS/MS
Untargeted metabolomics analysis for the identification of metabolites by LC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Profile LC-MS

Technique: LC-MS/MS
Untargeted metabolomics analysis for the identification of metabolites by LC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Profile GC-MS

Technique: GC-MS/MS
Untargeted metabolomics analysis for the identification of volatiles and metabolites by GC-MS/MS.The Identification includes a list with superclass, class, metabolite name, and InChIKey.

Metabolomics Volatiles GC-MS

Technique: GC-MS/MS
Untargeted metabolomics analysis for the identification of volatiles by GC-MS/MS. The Identification includes a list with superclass, class, metabolite name, and InChIKey.

PharmacoMetabolomics

Is a key discipline in translational pharmacology, as it allows the analysis of drug impact on metabolism and helps understand variations in therapeutic response. Its integration enhances ADME-Tox studies and enables a more precise characterization of compound bioavailability, efficacy, and toxicity.

Selection of relevant Metabolites and Biomarkers

Identify key metabolic classes:
- Amino acids (biomarkers of energy and protein metabolism)
- Organic acids (involved in key metabolic pathways such as the Krebs cycle)
- Lipid metabolites (involved in inflammation and cell signaling)
Identify pharmacometabolomic biomarkers associated with toxicity, bioavailability, and therapeutic efficacy.

Panel: NAD LC-MS

Technique: LC-MS/MS
Metabolomics analysis for the identification and quantification of NAD-related metabolites: 1MNA 1-methylnicotinamide, 2PY N-methyl-2-pyridone-5-carboxamide, 3HAA 3-hydroxyanthranilic acid, 3HK 3-hydroxykynurenine, 4PA 4-pyridoxic acid/4PY N-methyl-4-pyridone-5-carboxamide, AA Anthranilic acid, CR Creatinine, KA kynurenic acid, KYN L-kynurenine, NA Nicotinic acid, NAAD Nicotinic acid adenine dinucleotide, NAD+Oxidized nicotinamide adenine dinucleotide, NADH Reduced nicotinamide adenine dinucleotide, NADP+ Oxidized nicotinamide adenine dinucleotide phosphate, NAM Nicotinamide, NAMN Nicotinic acid mononucleotide, NAMPT Nicotinamide phosphoribosyltransferase, NAR Nicotinic acid riboside, NR Nicotinamide riboside, PL Pyridoxal, PLP Pyridoxal 5′ -phosphate, PM Pyridoxamine, PN Pyridoxine, QA Quinolinic acid, TRP Tryptophan, XA Xanthurenic acid

Panel: Aminoacids LC-MS

Technique: LC-MS/MS

Metabolomics analysis for the identification and quantification of amino acids: L-Alanine, L-Arginine, L-Aspartic acid, L-Cystine, L-Glutamic acid, Glycine, L-Histidine, L-Isoleucine, L-Leucine, L-Lysine, L-Methionine, L-Phenylalanine, L-Proline, L-Serine, L-Threonine, L-Tyrosine, L-Valine, L-Tryptophan

Panel: Organic Acids LC-MS

Technique: LC-MS/MS

Metabolomics analysis for the identification and quantification of organic acids: Acetic acid, Adipic acid, L-Ascorbic acid, Benzoic acid, Butyric acid, Citric acid, Isobutyric acid, Formic acid, Fumaric acid, L-(+)-Lactic acid, DL-Isocitric acid trisodium salt hydrate, Maleic acid, Malonic acid, D-(+)-Malic acid, Oxalic acid, Phytic acid, Propionic acid, (-)Quinic acid, Succinic acid, Shikimic acid, D-(−)-Tartaric acid

Custom LC-MS

Technique: LC-MS/MS
Target Metabolomics analysis for the identification of specific metabolites(s) according to customer requirements

Proteomics Compound Screening

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins. The identification includes the family and name of the protein.

Proteomics Profile LC-MS

Technique: LC-MS/MS
NextGen proteomics analysis by LC-MS/MS for the identification of proteins. The identification includes the family and name of the protein.

PharmacoProteomics

Is an emerging discipline that studies the interaction of drugs with the proteome, enabling a better understanding of mechanisms of action, resistance, and treatment toxicity. Its integration complements ADME-Tox and pharmacometabolomics studies, providing key information for the optimization of personalized therapies.

Selection of Proteins and Biomarkers

Identify key proteins involved in:
- Drug metabolism and transport (cytochrome P450 enzymes, membrane transporters)
- Mechanisms of drug resistance
- Immune response and drug-induced toxicity
Determine proteomic biomarkers to assess therapeutic efficacy and toxicity

Custom LC-MS

Technique: LC-MS/MS
Target Proteomics analysis for the identification of specific protein(s) according to customer requirements

PharmacoProteomics

Selection of Proteins and Biomarkers

Identify key proteins involved in:
- Drug metabolism and transport (cytochrome P450 enzymes, membrane transporters)
- Mechanisms of drug resistance
- Immune response and drug-induced toxicity
Determine proteomic biomarkers to assess therapeutic efficacy and toxicity

PharmacoLipidomics

Selection of Lipid Profiles and Biomarkers:

Identify key lipid classes:
- Phospholipids (influence transport and bioavailability)
- Sphingolipids (associated with apoptosis and toxicity)
- Fatty acids and triglycerides (impact on hepatic and renal metabolism)
- Bioactive lipids (eicosanoids, endocannabinoids).
Determine relevant lipid biomarkers in pharmacokinetics and toxicity.

PharmacoMetabolomics

Selection of relevant Metabolites and Biomarkers

Identify key metabolic classes:
- Amino acids (biomarkers of energy and protein metabolism)
- Organic acids (involved in key metabolic pathways such as the Krebs cycle)
- Lipid metabolites (involved in inflammation and cell signaling)
Identify pharmacometabolomic biomarkers associated with toxicity, bioavailability, and therapeutic efficacy.

Enhance your analysis with:

Standard oloMAP

Statistical analysis and visualization of omics data

Advanced oloMAP

Integrate omics data with clinical, nutritional, or environmental datasets through the Correlation Module

Biological Interpretation Report

Expert interpretation to connect omics data with biological pathways and outcomes

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Standard Delivery Time:
6 weeks
Fast-track option available

Minimum Sample Amount:
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Discount:
Associated with the number of
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Contact us today to discuss your project or schedule a consultation. Together, we’ll advance innovation through omics!