Based in Denmark, Gubra A/S is a non-clinical CRO with strengths in metabolic diseases and fibrosis. It provides rapid and reliable drug discovery support by utilizing its proprietary pathological models and advanced analytical technologies. Here, we introduce in detail the features of Gubra A/S's services and specific study cases.
Gubra A/S is deeply specialized in the metabolic and fibrosis areas of obesity, diabetes, and MASH (metabolic insufficiency related steatohepatitis). The company's major strength is that it is an "R&D-oriented" company with its own drug discovery pipeline, not merely a contract research company.
Our scientific proposals are very practical, based on abundant research data and experience gained from our actual in-house drug discovery activities. We believe that we can be your reliable partner to lead your drug discovery project to success.
Another major advantage of selecting Gubra A/S is its proactive implementation of advanced technologies to improve data quality. In particular, 3D imaging technology, which makes entire organs transparent for imaging, and AI-based histological analysis provide extremely accurate data.
It visualizes microscopic lesions and drug distribution that cannot be captured by conventional analysis methods and can be used as objective evidence. It is a powerful weapon for researchers who want to make more reliable decisions.
Gubra A/S's GAN DIO-MASH mouse model faithfully reflects human pathophysiology. It is highly valued for its ability to confirm progression by liver biopsy and provide highly predictive clinical data.
This is a strong option for those looking for a highly accurate test system.
The high-fat diet-induced obesity (DIO) model, with over 15 years of experience, is another of Gubra's major strengths. In addition to food intake and energy metabolism, Gubra A/S supports a wide range of assessments, including brain activation signatures.
The model, filled with our unique know-how, will greatly contribute to the elucidation of the mechanism of action.
Gubra A/S's "Whole Brain 3D Imaging" is a revolutionary technology that visualizes which parts of the brain are activated by a drug. For example, in the evaluation of anti-obesity drugs, Gubra A/S has successfully mapped the expression of "c-Fos," an indicator of neural activity, at the single cell level to identify the mechanism of action (MoA) of the drug.
A major advantage of this method is that the entire brain is analyzed without slicing, so the entire picture can be obtained without omission. This can be used as a convincing scientific basis for the development of drugs that act on the central nervous system.
Image analysis using artificial intelligence (AI) has been successful in tests to evaluate fibrosis in kidneys. Using AI, the quantification of fibrosis areas, which tends to vary with conventional visual evaluation by pathologists, can be done quickly and objectively.
There have been cases where the effect of microscopic treatment was accurately detected in models of chronic kidney disease (CKD) and diabetic kidney disease (DKD). This is a reliable analysis method for researchers who value data reproducibility.
Headquartered in Denmark, Gubra A/S is a highly specialized biotechnology company focused on the metabolic and fibrosis areas. The company accelerates drug development worldwide through both advanced contract non-clinical research services (CRO) and in-house peptide drug discovery research.
| Address | Hørsholm Kongevej 11B, 2970 Hørsholm, Denmark |
|---|---|
| Tel | +45 3152 2650 |
| Website | https://www.gubra.dk/ |
In non-clinical development, the choice of contract research organization shapes the quality of the data and the time it takes to reach the next decision. Below, three CROs are introduced by the type of study they support: pharmacology (efficacy) studies, safety studies, and pharmacokinetic (PK/PD) studies. Each summary describes the services the company offers so that you can match a provider to your target and development objective.
SMC Laboratories is a specialized non-clinical CRO focused on in vivo pharmacology and efficacy studies using disease-relevant animal models, particularly in fibrosis, inflammation, metabolic diseases, and oncology.
SMC Laboratories offers models covering the liver, lung, kidney, intestine, and oncology. Its portfolio includes the proprietary STAM™ model for MASH, fibrosis, and hepatocellular carcinoma.
Study plans are developed around the target biology, mechanism of action, disease stage, and development objective. Pharmacological endpoints can be combined with histopathology, biomarkers, and disease-specific readouts.
With experience from more than 1,000 studies for clients in 30 countries, SMC Laboratories supports programs from target validation and candidate selection through in vivo proof-of-concept studies.
Charles River provides non-clinical toxicology and safety assessment services for programs ranging from exploratory safety studies to IND-enabling development.
Services include single- and repeat-dose toxicology, dose-range finding, and general toxicology studies across multiple species and administration routes.
Charles River supports both non-GLP and GLP studies, allowing sponsors to progress from early safety characterization to studies intended for regulatory submissions.
Toxicology studies can be integrated with toxicokinetics, clinical pathology, histopathology, and safety pharmacology to support interpretation and IND-enabling safety packages.
Inotiv provides integrated PK/PD, DMPK, and bioanalytical services to characterize drug exposure and its relationship with pharmacological response.
PK studies characterize exposure, half-life, clearance, and other pharmacokinetic parameters needed to understand how a candidate behaves in the selected model.
Pharmacokinetic data can be combined with pharmacodynamic endpoints and bioanalysis to evaluate the relationship between drug exposure and pharmacological response.
Integrated DMPK, pharmacology, and safety information supports candidate comparison, dose selection, dosing-frequency optimization, and decisions about subsequent preclinical development.